diff --git a/M1/Statistical Learning/TP3_Logistic_Regression_and _SGD.ipynb b/M1/Statistical Learning/TP3_Logistic_Regression_and _SGD.ipynb
index ab0cdb7..042c6bb 100644
--- a/M1/Statistical Learning/TP3_Logistic_Regression_and _SGD.ipynb	
+++ b/M1/Statistical Learning/TP3_Logistic_Regression_and _SGD.ipynb	
@@ -27,8 +27,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:22:48.739392Z",
-     "start_time": "2025-03-05T09:22:46.788432Z"
+     "end_time": "2025-03-19T10:59:42.671629Z",
+     "start_time": "2025-03-19T10:59:42.542386Z"
     }
    },
    "source": [
@@ -37,7 +37,7 @@
     "from sklearn.linear_model import LogisticRegression"
    ],
    "outputs": [],
-   "execution_count": 10
+   "execution_count": 11
   },
   {
    "cell_type": "markdown",
@@ -50,8 +50,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:31:15.167180Z",
-     "start_time": "2025-03-05T09:31:15.156775Z"
+     "end_time": "2025-03-19T09:31:42.236327Z",
+     "start_time": "2025-03-19T09:31:42.227554Z"
     }
    },
    "source": [
@@ -78,7 +78,7 @@
      ]
     }
    ],
-   "execution_count": 35
+   "execution_count": 31
   },
   {
    "cell_type": "markdown",
@@ -100,8 +100,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:17:29.707531Z",
-     "start_time": "2025-03-05T09:17:29.385458Z"
+     "end_time": "2025-03-19T09:31:43.530754Z",
+     "start_time": "2025-03-19T09:31:43.239036Z"
     }
    },
    "source": [
@@ -114,10 +114,10 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x11244c190>"
+       "<matplotlib.collections.PathCollection at 0x10cd5fe80>"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -126,13 +126,13 @@
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 3
+   "execution_count": 32
   },
   {
    "cell_type": "markdown",
@@ -147,8 +147,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:17:35.015290Z",
-     "start_time": "2025-03-05T09:17:34.886283Z"
+     "end_time": "2025-03-19T09:31:43.669223Z",
+     "start_time": "2025-03-19T09:31:43.542567Z"
     }
    },
    "source": [
@@ -161,17 +161,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/var/folders/tp/_ld5_pzs6nx6mv1pbjhq1l740000gn/T/ipykernel_80659/1711589517.py:3: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
+      "/var/folders/tp/_ld5_pzs6nx6mv1pbjhq1l740000gn/T/ipykernel_87821/1711589517.py:3: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
       "  plt.scatter(X[:, 0], X[:, 1], alpha=0.3, cmap=mcolors.ListedColormap([\"steelblue\", \"tomato\"]))\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<matplotlib.collections.PathCollection at 0x1124c3190>"
+       "<matplotlib.collections.PathCollection at 0x10cdf29b0>"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -180,13 +180,13 @@
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 4
+   "execution_count": 33
   },
   {
    "cell_type": "markdown",
@@ -242,8 +242,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:30:23.456488Z",
-     "start_time": "2025-03-05T09:30:23.450553Z"
+     "end_time": "2025-03-19T09:31:44.262748Z",
+     "start_time": "2025-03-19T09:31:44.257913Z"
     }
    },
    "source": [
@@ -258,15 +258,15 @@
        "LogisticRegression(penalty=None)"
       ],
       "text/html": [
-       "<style>#sk-container-id-5 {color: black;}#sk-container-id-5 pre{padding: 0;}#sk-container-id-5 div.sk-toggleable {background-color: white;}#sk-container-id-5 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-5 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-5 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-5 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-5 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-5 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-5 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-5 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-5 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-5 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-5 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-5 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-5 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-5 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-5 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-5 div.sk-item {position: relative;z-index: 1;}#sk-container-id-5 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-5 div.sk-item::before, #sk-container-id-5 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-5 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-5 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-5 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-5 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-5 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-5 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-5 div.sk-label-container {text-align: center;}#sk-container-id-5 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-5 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-5\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(penalty=None)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" checked><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(penalty=None)</pre></div></div></div></div></div>"
+       "<style>#sk-container-id-3 {color: black;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(penalty=None)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(penalty=None)</pre></div></div></div></div></div>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 32
+   "execution_count": 34
   },
   {
    "cell_type": "markdown",
@@ -279,8 +279,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:30:25.041087Z",
-     "start_time": "2025-03-05T09:30:25.025456Z"
+     "end_time": "2025-03-19T09:31:44.569660Z",
+     "start_time": "2025-03-19T09:31:44.555547Z"
     }
    },
    "source": [
@@ -294,15 +294,15 @@
        "LogisticRegression(penalty=None)"
       ],
       "text/html": [
-       "<style>#sk-container-id-6 {color: black;}#sk-container-id-6 pre{padding: 0;}#sk-container-id-6 div.sk-toggleable {background-color: white;}#sk-container-id-6 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-6 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-6 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-6 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-6 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-6 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-6 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-6 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-6 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-6 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-6 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-6 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-6 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-6 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-6 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-6 div.sk-item {position: relative;z-index: 1;}#sk-container-id-6 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-6 div.sk-item::before, #sk-container-id-6 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-6 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-6 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-6 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-6 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-6 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-6 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-6 div.sk-label-container {text-align: center;}#sk-container-id-6 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-6 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-6\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(penalty=None)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" checked><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(penalty=None)</pre></div></div></div></div></div>"
+       "<style>#sk-container-id-4 {color: black;}#sk-container-id-4 pre{padding: 0;}#sk-container-id-4 div.sk-toggleable {background-color: white;}#sk-container-id-4 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-4 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-4 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-4 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-4 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-4 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-4 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-4 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-4 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-4 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-4 div.sk-item {position: relative;z-index: 1;}#sk-container-id-4 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-4 div.sk-item::before, #sk-container-id-4 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-4 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-4 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-4 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-4 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-4 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-4 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-4 div.sk-label-container {text-align: center;}#sk-container-id-4 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-4 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(penalty=None)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(penalty=None)</pre></div></div></div></div></div>"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 33
+   "execution_count": 35
   },
   {
    "cell_type": "markdown",
@@ -317,8 +317,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:49:08.939308Z",
-     "start_time": "2025-03-05T09:49:08.936387Z"
+     "end_time": "2025-03-19T09:31:45.551736Z",
+     "start_time": "2025-03-19T09:31:45.548903Z"
     }
    },
    "source": [
@@ -334,12 +334,12 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "The coefficients are :  -4.480843701420734 , 6.110254813887258\n",
-      "The intercept is :  -8.270739345382312\n"
+      "The coefficients are :  -4.698124406065196 , 6.213409207061598\n",
+      "The intercept is :  -8.346121222086511\n"
      ]
     }
    ],
-   "execution_count": 48
+   "execution_count": 36
   },
   {
    "metadata": {},
@@ -356,8 +356,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:52:24.520690Z",
-     "start_time": "2025-03-05T09:52:24.272549Z"
+     "end_time": "2025-03-19T09:31:46.940096Z",
+     "start_time": "2025-03-19T09:31:46.727016Z"
     }
    },
    "source": [
@@ -377,13 +377,13 @@
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ],
-      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 52
+   "execution_count": 37
   },
   {
    "cell_type": "markdown",
@@ -412,8 +412,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T09:56:41.729767Z",
-     "start_time": "2025-03-05T09:56:41.671775Z"
+     "end_time": "2025-03-19T09:31:48.554831Z",
+     "start_time": "2025-03-19T09:31:48.474934Z"
     }
    },
    "source": [
@@ -438,7 +438,7 @@
      "output_type": "display_data"
     }
    ],
-   "execution_count": 55
+   "execution_count": 38
   },
   {
    "cell_type": "markdown",
@@ -453,8 +453,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T10:15:03.512565Z",
-     "start_time": "2025-03-05T10:15:03.510305Z"
+     "end_time": "2025-03-19T09:31:48.891615Z",
+     "start_time": "2025-03-19T09:31:48.884879Z"
     }
    },
    "source": [
@@ -463,7 +463,7 @@
     "    return -np.sum(y * np.log(h) + (1 - y) * np.log(1 - h))"
    ],
    "outputs": [],
-   "execution_count": 104
+   "execution_count": 39
   },
   {
    "cell_type": "markdown",
@@ -487,8 +487,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T10:44:03.685253Z",
-     "start_time": "2025-03-05T10:44:03.682070Z"
+     "end_time": "2025-03-19T09:31:49.482987Z",
+     "start_time": "2025-03-19T09:31:49.479349Z"
     }
    },
    "source": [
@@ -511,7 +511,7 @@
     "    return w, b"
    ],
    "outputs": [],
-   "execution_count": 144
+   "execution_count": 40
   },
   {
    "cell_type": "markdown",
@@ -524,8 +524,8 @@
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T10:44:05.205683Z",
-     "start_time": "2025-03-05T10:44:04.457359Z"
+     "end_time": "2025-03-19T09:31:52.538272Z",
+     "start_time": "2025-03-19T09:31:51.682437Z"
     }
    },
    "source": [
@@ -538,38 +538,38 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "In step  0 , the parameters are  [0.00120519 0.33862792] 0.0 ;\n",
-      "and the value of the cost function is  5271.277995679736\n",
-      "In step  300 , the parameters are  [-2.34143382  3.26147664] -4.147417329055753 ;\n",
-      "and the value of the cost function is  742.7787000935343\n",
-      "In step  600 , the parameters are  [-2.89655432  3.92345169] -5.1011875240250415 ;\n",
-      "and the value of the cost function is  628.7165675185372\n",
-      "In step  900 , the parameters are  [-3.23241259  4.32579622] -5.6745205784621575 ;\n",
-      "and the value of the cost function is  587.9925532700345\n",
-      "In step  1200 , the parameters are  [-3.47109281  4.61243016] -6.080681505491013 ;\n",
-      "and the value of the cost function is  567.5815564366071\n",
-      "In step  1500 , the parameters are  [-3.65380265  4.8322147 ] -6.391014561873741 ;\n",
-      "and the value of the cost function is  555.662171215444\n",
-      "In step  1800 , the parameters are  [-3.79984918  5.00811529] -6.638769083547293 ;\n",
-      "and the value of the cost function is  548.060670330905\n",
-      "In step  2100 , the parameters are  [-3.9199447   5.15290215] -6.842324815409663 ;\n",
-      "and the value of the cost function is  542.9263219326222\n",
-      "In step  2400 , the parameters are  [-4.02069384  5.27446234] -7.012982565617063 ;\n",
-      "and the value of the cost function is  539.315487299295\n",
-      "In step  2700 , the parameters are  [-4.10647529  5.3780322 ] -7.1582184641354445 ;\n",
-      "and the value of the cost function is  536.6990520205685\n",
-      "The parameters are :  [-4.18012133  5.46700041] -7.282863011162482\n"
+      "In step  0 , the parameters are  [0.00153647 0.33871266] 0.0 ;\n",
+      "and the value of the cost function is  5275.865698969024\n",
+      "In step  300 , the parameters are  [-2.34810353  3.25054244] -4.160290012659158 ;\n",
+      "and the value of the cost function is  756.3110375589763\n",
+      "In step  600 , the parameters are  [-2.8885127   3.91778361] -5.122316883530483 ;\n",
+      "and the value of the cost function is  641.7719246408615\n",
+      "In step  900 , the parameters are  [-3.21294809  4.32379939] -5.700307343788985 ;\n",
+      "and the value of the cost function is  600.9912201400733\n",
+      "In step  1200 , the parameters are  [-3.44249778  4.61299967] -6.109358690938331 ;\n",
+      "and the value of the cost function is  580.608497535862\n",
+      "In step  1500 , the parameters are  [-3.61767029  4.83459653] -6.421531380172041 ;\n",
+      "and the value of the cost function is  568.7388533903074\n",
+      "In step  1800 , the parameters are  [-3.75734136  5.01177289] -6.670433297857319 ;\n",
+      "and the value of the cost function is  561.1905874098641\n",
+      "In step  2100 , the parameters are  [-3.87194445  5.15744025] -6.874651758497154 ;\n",
+      "and the value of the cost function is  556.1070217688145\n",
+      "In step  2400 , the parameters are  [-3.96789466  5.27958215] -7.045619602672441 ;\n",
+      "and the value of the cost function is  552.5425577978012\n",
+      "In step  2700 , the parameters are  [-4.04943622  5.38350371] -7.190902618096757 ;\n",
+      "and the value of the cost function is  549.967616036397\n",
+      "The parameters are :  [-4.11931463  5.47264399] -7.3153959306836205\n"
      ]
     }
    ],
-   "execution_count": 145
+   "execution_count": 41
   },
   {
    "cell_type": "code",
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-03-05T10:44:06.503264Z",
-     "start_time": "2025-03-05T10:44:06.157991Z"
+     "end_time": "2025-03-19T09:31:52.801878Z",
+     "start_time": "2025-03-19T09:31:52.597175Z"
     }
    },
    "source": [
@@ -593,13 +593,13 @@
       "text/plain": [
        "<Figure size 800x800 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 146
+   "execution_count": 42
   },
   {
    "cell_type": "markdown",
@@ -646,21 +646,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:32:02.484670Z",
+     "start_time": "2025-03-19T09:32:02.480673Z"
+    }
+   },
    "source": [
     "a = np.arange(10)\n",
     "rng = np.random.default_rng(seed=42)\n",
     "rng.shuffle(a)  # shuffle in place\n",
     "a"
-   ]
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([5, 6, 0, 7, 3, 2, 4, 9, 1, 8])"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 43
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:51:37.764449Z",
+     "start_time": "2025-03-19T09:51:37.744068Z"
+    }
+   },
    "source": [
     "def mini_batch_SGD(X, y, learning_rate, batch_size, epochs):\n",
     "    \"\"\"\n",
@@ -669,7 +688,6 @@
     "    Parameters:\n",
     "        X (numpy.ndarray): Input data of shape (n, d), where n is the number of samples and d is the number of features.\n",
     "        y (numpy.ndarray): Labels of shape (n,), where n is the sample size.\n",
-    "        num_steps (int): Number of steps per epoch.\n",
     "        learning_rate (float): Learning rate for gradient descent.\n",
     "        batch_size (int): Size of each mini-batch.\n",
     "        epochs (int): Number of epochs to train.\n",
@@ -688,68 +706,40067 @@
     "    for epoch in range(epochs):\n",
     "        # Shuffle the data at the beginning of each epoch\n",
     "        indices = np.arange(n)\n",
-    "        np.random.default_rng(seed=42).shuffle(indices)\n",
+    "        np.random.default_rng(seed=epoch).shuffle(indices)\n",
     "        X_shuffled = X[indices]\n",
     "        y_shuffled = y[indices]\n",
     "\n",
     "        # Mini-batch processing\n",
+    "        for i in range(0, n, batch_size):\n",
+    "            X_batch = X_shuffled[i:i + batch_size]\n",
+    "            y_batch = y_shuffled[i:i + batch_size]\n",
     "\n",
-    "        # Compute predictions\n",
+    "            # Compute predictions\n",
+    "            h = sigmoid(np.dot(X_batch, w) + b)\n",
     "\n",
-    "        # Compute gradients\n",
-    "        grad_w = (h - y) @ X\n",
-    "        grad_b = np.sum(h - y)\n",
+    "            # Compute gradients\n",
+    "            grad_w = (h - y_batch) @ X_batch\n",
+    "            grad_b = np.sum(h - y_batch)\n",
     "\n",
-    "        # Update parameters\n",
-    "        w -= learning_rate * grad_w\n",
-    "        b -= learning_rate * grad_b\n",
+    "            # Update parameters\n",
+    "            w -= learning_rate * grad_w\n",
+    "            b -= learning_rate * grad_b\n",
     "\n",
-    "        # Compute and store cost for tracking\n",
-    "        current_cost = cost_log_likelihood(X, y, w, b)\n",
+    "            # Compute and store cost for tracking\n",
+    "            current_cost = cost_log_likelihood(X_batch, y_batch, w, b)\n",
     "\n",
-    "        if epoch % 10 == 0:\n",
-    "            print(f\"Epoch {epoch}/{epochs}, Cost: {current_cost:.4f}\")\n",
-    "            print(\" and the parameters are\", w, b, \";\")\n",
+    "            if epoch % 10 == 0:\n",
+    "                print(f\"Epoch {epoch}/{epochs}, Cost: {current_cost:.4f}\")\n",
+    "                print(\" and the parameters are\", w, b, \";\")\n",
     "\n",
-    "        costs_SGD.append(current_cost)\n",
+    "            costs_SGD.append(current_cost)\n",
     "\n",
-    "\n",
-    "return w, b, costs_SGD\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
+    "    return w, b, costs_SGD"
+   ],
+   "outputs": [],
+   "execution_count": 58
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:56:51.427407Z",
+     "start_time": "2025-03-19T09:56:46.160169Z"
+    }
+   },
+   "source": "w_SGD, b_SGD, cost_SGD = mini_batch_SGD(X, y, learning_rate=5e-5, batch_size=50, epochs=1000)\n",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0/1000, Cost: 34.6290\n",
+      " and the parameters are [-5.87201336e-05  1.17358307e-03] -0.0002 ;\n",
+      "Epoch 0/1000, Cost: 34.5887\n",
+      " and the parameters are [-0.00027173  0.00251791] -0.00015089470314657126 ;\n",
+      "Epoch 0/1000, Cost: 34.5602\n",
+      " and the parameters are [-0.00068416  0.00373089] -0.0003027243288860721 ;\n",
+      "Epoch 0/1000, Cost: 34.4884\n",
+      " and the parameters are [-0.00047074  0.0053166 ] -0.0005054958950922852 ;\n",
+      "Epoch 0/1000, Cost: 34.3402\n",
+      " and the parameters are [-0.00036129  0.00745055] -0.00040945684562978846 ;\n",
+      "Epoch 0/1000, Cost: 34.3860\n",
+      " and the parameters are [-0.0005649  0.0089469] -0.00041479070720988186 ;\n",
+      "Epoch 0/1000, Cost: 34.2132\n",
+      " and the parameters are [-0.00058962  0.0109634 ] -0.00032220667395566527 ;\n",
+      "Epoch 0/1000, Cost: 34.1200\n",
+      " and the parameters are [-0.00057486  0.0130156 ] -8.34889460169458e-05 ;\n",
+      "Epoch 0/1000, Cost: 34.1005\n",
+      " and the parameters are [-0.00066628  0.01486911] 5.620899842442194e-05 ;\n",
+      "Epoch 0/1000, Cost: 34.1125\n",
+      " and the parameters are [-0.00081733  0.01649599] 9.465250193138646e-05 ;\n",
+      "Epoch 0/1000, Cost: 34.0876\n",
+      " and the parameters are [-0.00064068  0.01806065] 3.289442322775834e-05 ;\n",
+      "Epoch 0/1000, Cost: 33.9782\n",
+      " and the parameters are [-0.00056681  0.01975612] -3.2093357019507103e-05 ;\n",
+      "Epoch 0/1000, Cost: 33.7634\n",
+      " and the parameters are [-0.00041798  0.02178116] 4.941670126168166e-05 ;\n",
+      "Epoch 0/1000, Cost: 33.8629\n",
+      " and the parameters are [-0.00040545  0.02344775] -6.704335499288124e-05 ;\n",
+      "Epoch 0/1000, Cost: 33.8673\n",
+      " and the parameters are [-0.00037319  0.02499888] -0.00023112813371303537 ;\n",
+      "Epoch 0/1000, Cost: 33.7309\n",
+      " and the parameters are [-0.00028227  0.02669953] -0.00030175014570574927 ;\n",
+      "Epoch 0/1000, Cost: 33.4848\n",
+      " and the parameters are [2.13516171e-05 2.86971112e-02] -0.00022888448342181755 ;\n",
+      "Epoch 0/1000, Cost: 33.2933\n",
+      " and the parameters are [0.00059172 0.03084734] -0.00010417012445575375 ;\n",
+      "Epoch 0/1000, Cost: 33.9406\n",
+      " and the parameters are [0.0007921  0.03192276] -0.0004271537096015404 ;\n",
+      "Epoch 0/1000, Cost: 33.2625\n",
+      " and the parameters are [0.00084058 0.03392682] -0.00021142031637597303 ;\n",
+      "Epoch 0/1000, Cost: 33.5060\n",
+      " and the parameters are [0.00087458 0.03549776] -0.0003407083648420574 ;\n",
+      "Epoch 0/1000, Cost: 33.3958\n",
+      " and the parameters are [0.00079011 0.03715012] -0.0004150542814552857 ;\n",
+      "Epoch 0/1000, Cost: 33.7302\n",
+      " and the parameters are [0.00047011 0.03831614] -0.0005951362349569328 ;\n",
+      "Epoch 0/1000, Cost: 33.5980\n",
+      " and the parameters are [0.00014665 0.03960263] -0.0006787528185420134 ;\n",
+      "Epoch 0/1000, Cost: 33.5189\n",
+      " and the parameters are [0.00012067 0.04093658] -0.0008614248252196093 ;\n",
+      "Epoch 0/1000, Cost: 33.0208\n",
+      " and the parameters are [0.00025637 0.04279397] -0.0007949476045947832 ;\n",
+      "Epoch 0/1000, Cost: 33.3613\n",
+      " and the parameters are [0.00017986 0.04419959] -0.0008807419515291322 ;\n",
+      "Epoch 0/1000, Cost: 33.5587\n",
+      " and the parameters are [0.00029191 0.04535123] -0.0013527029087901554 ;\n",
+      "Epoch 0/1000, Cost: 32.8766\n",
+      " and the parameters are [0.00041809 0.04717415] -0.0013397321329301868 ;\n",
+      "Epoch 0/1000, Cost: 33.4341\n",
+      " and the parameters are [0.00025915 0.04837839] -0.0015229310280111472 ;\n",
+      "Epoch 0/1000, Cost: 33.1281\n",
+      " and the parameters are [0.00043677 0.04983862] -0.0016607536038563714 ;\n",
+      "Epoch 0/1000, Cost: 32.8506\n",
+      " and the parameters are [0.0004145  0.05152545] -0.0016497783661080952 ;\n",
+      "Epoch 0/1000, Cost: 32.3293\n",
+      " and the parameters are [0.00049479 0.05361539] -0.0013058338206322247 ;\n",
+      "Epoch 0/1000, Cost: 32.3083\n",
+      " and the parameters are [0.00073263 0.05564039] -0.0011523595556149284 ;\n",
+      "Epoch 0/1000, Cost: 32.3741\n",
+      " and the parameters are [0.00103583 0.05752568] -0.0011059803116664616 ;\n",
+      "Epoch 0/1000, Cost: 33.3297\n",
+      " and the parameters are [0.00108299 0.05859585] -0.0014845454204840832 ;\n",
+      "Epoch 0/1000, Cost: 32.6899\n",
+      " and the parameters are [0.00084603 0.0601371 ] -0.0014925062014313224 ;\n",
+      "Epoch 0/1000, Cost: 32.9983\n",
+      " and the parameters are [0.00089949 0.0614005 ] -0.001734897630545898 ;\n",
+      "Epoch 0/1000, Cost: 32.3458\n",
+      " and the parameters are [0.00084679 0.06313395] -0.001687670998155261 ;\n",
+      "Epoch 0/1000, Cost: 32.7904\n",
+      " and the parameters are [0.00040998 0.0644885 ] -0.0016477763306773257 ;\n",
+      "Epoch 0/1000, Cost: 32.2116\n",
+      " and the parameters are [0.00075321 0.0662117 ] -0.0017545895082871012 ;\n",
+      "Epoch 0/1000, Cost: 33.0587\n",
+      " and the parameters are [0.00080472 0.06730498] -0.001963289438139645 ;\n",
+      "Epoch 0/1000, Cost: 32.1519\n",
+      " and the parameters are [0.00087326 0.06902828] -0.001961764667921026 ;\n",
+      "Epoch 0/1000, Cost: 32.9293\n",
+      " and the parameters are [0.00087921 0.07016017] -0.002214706457922668 ;\n",
+      "Epoch 0/1000, Cost: 31.8022\n",
+      " and the parameters are [0.00105621 0.07202345] -0.0021765672670268545 ;\n",
+      "Epoch 0/1000, Cost: 32.3199\n",
+      " and the parameters are [0.00097281 0.07351551] -0.0021844926829137487 ;\n",
+      "Epoch 0/1000, Cost: 31.8551\n",
+      " and the parameters are [0.00081522 0.07525859] -0.0019201879325155082 ;\n",
+      "Epoch 0/1000, Cost: 32.0176\n",
+      " and the parameters are [0.00092748 0.07686205] -0.0019382052375599929 ;\n",
+      "Epoch 0/1000, Cost: 32.3845\n",
+      " and the parameters are [0.00071519 0.07818669] -0.001872221453700771 ;\n",
+      "Epoch 0/1000, Cost: 31.8250\n",
+      " and the parameters are [0.00071447 0.07983489] -0.0019866821034391154 ;\n",
+      "Epoch 0/1000, Cost: 32.0297\n",
+      " and the parameters are [0.00085575 0.08135113] -0.0020931348414362986 ;\n",
+      "Epoch 0/1000, Cost: 32.0704\n",
+      " and the parameters are [0.0006984  0.08280602] -0.002062343964577346 ;\n",
+      "Epoch 0/1000, Cost: 31.9497\n",
+      " and the parameters are [0.00068241 0.08429584] -0.002034663062662134 ;\n",
+      "Epoch 0/1000, Cost: 31.3619\n",
+      " and the parameters are [0.00055641 0.08608367] -0.001774340791461782 ;\n",
+      "Epoch 0/1000, Cost: 32.1552\n",
+      " and the parameters are [0.00057482 0.08739693] -0.0020278501295944583 ;\n",
+      "Epoch 0/1000, Cost: 32.4080\n",
+      " and the parameters are [0.00047034 0.08855356] -0.0021978675389184767 ;\n",
+      "Epoch 0/1000, Cost: 32.4449\n",
+      " and the parameters are [0.00055917 0.08967063] -0.0024161043167530106 ;\n",
+      "Epoch 0/1000, Cost: 32.9332\n",
+      " and the parameters are [0.00046925 0.09051701] -0.0028681312687018636 ;\n",
+      "Epoch 0/1000, Cost: 31.8332\n",
+      " and the parameters are [0.00019357 0.09195463] -0.0028307612466368062 ;\n",
+      "Epoch 0/1000, Cost: 31.1909\n",
+      " and the parameters are [-2.17816026e-05  9.36627553e-02] -0.002855546989928182 ;\n",
+      "Epoch 0/1000, Cost: 31.1813\n",
+      " and the parameters are [3.58151698e-05 9.53505056e-02] -0.002833889937964007 ;\n",
+      "Epoch 0/1000, Cost: 32.3927\n",
+      " and the parameters are [-0.00033014  0.09639766] -0.0029641917268058136 ;\n",
+      "Epoch 0/1000, Cost: 31.3971\n",
+      " and the parameters are [-0.00039754  0.09793674] -0.0028961765717031734 ;\n",
+      "Epoch 0/1000, Cost: 30.9470\n",
+      " and the parameters are [-0.00025992  0.09964366] -0.002789595749407182 ;\n",
+      "Epoch 0/1000, Cost: 30.3178\n",
+      " and the parameters are [-0.00013643  0.10160998] -0.0024919240304253497 ;\n",
+      "Epoch 0/1000, Cost: 32.4524\n",
+      " and the parameters are [-0.00027277  0.10255857] -0.0028146012950836024 ;\n",
+      "Epoch 0/1000, Cost: 31.9565\n",
+      " and the parameters are [-0.00040047  0.10371708] -0.00299813465017605 ;\n",
+      "Epoch 0/1000, Cost: 32.2082\n",
+      " and the parameters are [-0.00054009  0.10476469] -0.0032231081167334867 ;\n",
+      "Epoch 0/1000, Cost: 31.2627\n",
+      " and the parameters are [-0.00059415  0.10621561] -0.003391241549096434 ;\n",
+      "Epoch 0/1000, Cost: 32.0064\n",
+      " and the parameters are [-0.00056845  0.10732055] -0.0036096941322227264 ;\n",
+      "Epoch 0/1000, Cost: 31.2753\n",
+      " and the parameters are [-0.00062305  0.10872817] -0.0036997141256339214 ;\n",
+      "Epoch 0/1000, Cost: 31.7108\n",
+      " and the parameters are [-0.00069559  0.10994661] -0.003913843466864063 ;\n",
+      "Epoch 0/1000, Cost: 31.3744\n",
+      " and the parameters are [-0.00069702  0.11128542] -0.003945933737346647 ;\n",
+      "Epoch 0/1000, Cost: 30.9883\n",
+      " and the parameters are [-0.00077859  0.11272634] -0.003948447607662889 ;\n",
+      "Epoch 0/1000, Cost: 30.6653\n",
+      " and the parameters are [-0.00094446  0.11429091] -0.003910417141629083 ;\n",
+      "Epoch 0/1000, Cost: 32.2124\n",
+      " and the parameters are [-0.00117904  0.11521172] -0.004273436411991351 ;\n",
+      "Epoch 0/1000, Cost: 30.8558\n",
+      " and the parameters are [-0.00096446  0.1166589 ] -0.004543125736175006 ;\n",
+      "Epoch 0/1000, Cost: 30.0653\n",
+      " and the parameters are [-0.00106643  0.11840497] -0.0044584159014841775 ;\n",
+      "Epoch 0/1000, Cost: 30.4506\n",
+      " and the parameters are [-0.00088453  0.11997522] -0.004469046847969417 ;\n",
+      "Epoch 0/1000, Cost: 31.8918\n",
+      " and the parameters are [-0.00130071  0.12094494] -0.004760429312933888 ;\n",
+      "Epoch 0/1000, Cost: 30.9777\n",
+      " and the parameters are [-0.00100171  0.12228027] -0.005040600749552374 ;\n",
+      "Epoch 0/1000, Cost: 31.2753\n",
+      " and the parameters are [-0.00124147  0.12349508] -0.005177261435557575 ;\n",
+      "Epoch 0/1000, Cost: 31.1992\n",
+      " and the parameters are [-0.00140176  0.1247215 ] -0.005411515483864393 ;\n",
+      "Epoch 0/1000, Cost: 31.1423\n",
+      " and the parameters are [-0.00166617  0.12594278] -0.005504860300913115 ;\n",
+      "Epoch 0/1000, Cost: 30.9401\n",
+      " and the parameters are [-0.00169357  0.12724015] -0.005608084732246465 ;\n",
+      "Epoch 0/1000, Cost: 29.8958\n",
+      " and the parameters are [-0.00169181  0.12886991] -0.005449971258755771 ;\n",
+      "Epoch 0/1000, Cost: 30.5931\n",
+      " and the parameters are [-0.00187096  0.13025026] -0.005459167839671969 ;\n",
+      "Epoch 0/1000, Cost: 30.8222\n",
+      " and the parameters are [-0.00177079  0.13154969] -0.005605312104819515 ;\n",
+      "Epoch 0/1000, Cost: 30.7028\n",
+      " and the parameters are [-0.0021356   0.13288087] -0.00555013349376285 ;\n",
+      "Epoch 0/1000, Cost: 31.2071\n",
+      " and the parameters are [-0.00193495  0.13400383] -0.006005329393973091 ;\n",
+      "Epoch 0/1000, Cost: 30.3075\n",
+      " and the parameters are [-0.00206821  0.1354374 ] -0.006050312467161179 ;\n",
+      "Epoch 0/1000, Cost: 30.2235\n",
+      " and the parameters are [-0.00186519  0.13684362] -0.00625049721432364 ;\n",
+      "Epoch 0/1000, Cost: 29.6993\n",
+      " and the parameters are [-0.00197944  0.13843859] -0.00634288561724415 ;\n",
+      "Epoch 0/1000, Cost: 28.3806\n",
+      " and the parameters are [-0.00164567  0.14040041] -0.006067731401226031 ;\n",
+      "Epoch 0/1000, Cost: 29.7476\n",
+      " and the parameters are [-0.00160892  0.14193357] -0.006033916120132479 ;\n",
+      "Epoch 0/1000, Cost: 30.2961\n",
+      " and the parameters are [-0.00134417  0.14324051] -0.006255017356633939 ;\n",
+      "Epoch 0/1000, Cost: 30.0501\n",
+      " and the parameters are [-0.00117642  0.14463048] -0.006327155542215215 ;\n",
+      "Epoch 0/1000, Cost: 30.9353\n",
+      " and the parameters are [-0.00144765  0.14573032] -0.006476374240895946 ;\n",
+      "Epoch 0/1000, Cost: 30.0629\n",
+      " and the parameters are [-0.00144382  0.1471084 ] -0.006583689984411282 ;\n",
+      "Epoch 0/1000, Cost: 31.2405\n",
+      " and the parameters are [-0.00159099  0.14809227] -0.006737101380836584 ;\n",
+      "Epoch 0/1000, Cost: 29.0195\n",
+      " and the parameters are [-0.00141836  0.14973308] -0.006755690502839099 ;\n",
+      "Epoch 0/1000, Cost: 29.6266\n",
+      " and the parameters are [-0.00123996  0.15115702] -0.006794518224296582 ;\n",
+      "Epoch 0/1000, Cost: 30.2144\n",
+      " and the parameters are [-0.00120751  0.15237795] -0.0069785608117822195 ;\n",
+      "Epoch 0/1000, Cost: 31.1289\n",
+      " and the parameters are [-0.00134718  0.15332629] -0.007204311570887248 ;\n",
+      "Epoch 0/1000, Cost: 29.9885\n",
+      " and the parameters are [-0.00147486  0.15464458] -0.00718009385533621 ;\n",
+      "Epoch 0/1000, Cost: 30.7082\n",
+      " and the parameters are [-0.00155734  0.1557486 ] -0.007376842410332681 ;\n",
+      "Epoch 0/1000, Cost: 29.2582\n",
+      " and the parameters are [-0.00170049  0.15724443] -0.007306791923898436 ;\n",
+      "Epoch 0/1000, Cost: 30.3441\n",
+      " and the parameters are [-0.00187583  0.15839251] -0.007486694308912068 ;\n",
+      "Epoch 0/1000, Cost: 29.8404\n",
+      " and the parameters are [-0.00165748  0.15966504] -0.007661475981403311 ;\n",
+      "Epoch 0/1000, Cost: 29.1193\n",
+      " and the parameters are [-0.00172054  0.16114703] -0.0076634837240213815 ;\n",
+      "Epoch 0/1000, Cost: 29.0741\n",
+      " and the parameters are [-0.00186876  0.16261201] -0.007527527627628973 ;\n",
+      "Epoch 0/1000, Cost: 29.4729\n",
+      " and the parameters are [-0.0018415   0.16396643] -0.007698891480762528 ;\n",
+      "Epoch 0/1000, Cost: 29.8936\n",
+      " and the parameters are [-0.00188201  0.16517057] -0.0077129305110008595 ;\n",
+      "Epoch 0/1000, Cost: 30.5232\n",
+      " and the parameters are [-0.0018841   0.16623338] -0.008037179774890628 ;\n",
+      "Epoch 0/1000, Cost: 28.2961\n",
+      " and the parameters are [-0.00199963  0.16784627] -0.00790260223286883 ;\n",
+      "Epoch 0/1000, Cost: 30.6878\n",
+      " and the parameters are [-0.00225114  0.16879357] -0.008040257348263602 ;\n",
+      "Epoch 0/1000, Cost: 28.8108\n",
+      " and the parameters are [-0.00241807  0.17022628] -0.008087669225088188 ;\n",
+      "Epoch 0/1000, Cost: 29.4237\n",
+      " and the parameters are [-0.00244159  0.17150874] -0.00823215403529885 ;\n",
+      "Epoch 0/1000, Cost: 29.5019\n",
+      " and the parameters are [-0.0025329   0.17274504] -0.0084611191011701 ;\n",
+      "Epoch 0/1000, Cost: 29.8552\n",
+      " and the parameters are [-0.00257366  0.17386311] -0.008742202203115104 ;\n",
+      "Epoch 0/1000, Cost: 29.2224\n",
+      " and the parameters are [-0.00273378  0.17510842] -0.008780304230488513 ;\n",
+      "Epoch 0/1000, Cost: 29.3715\n",
+      " and the parameters are [-0.00281839  0.1763689 ] -0.00895671486743028 ;\n",
+      "Epoch 0/1000, Cost: 29.8882\n",
+      " and the parameters are [-0.00295673  0.17744851] -0.009230245446342123 ;\n",
+      "Epoch 0/1000, Cost: 30.0901\n",
+      " and the parameters are [-0.00305341  0.17846039] -0.009519294182335424 ;\n",
+      "Epoch 0/1000, Cost: 30.3920\n",
+      " and the parameters are [-0.00314822  0.17941949] -0.009796061713764868 ;\n",
+      "Epoch 0/1000, Cost: 29.9062\n",
+      " and the parameters are [-0.00328007  0.18049028] -0.009949088919972236 ;\n",
+      "Epoch 0/1000, Cost: 28.7987\n",
+      " and the parameters are [-0.00334205  0.18184664] -0.010002691314346307 ;\n",
+      "Epoch 0/1000, Cost: 28.6384\n",
+      " and the parameters are [-0.00347671  0.18325122] -0.010003748627831118 ;\n",
+      "Epoch 0/1000, Cost: 30.9653\n",
+      " and the parameters are [-0.00378783  0.18405275] -0.010407713764436465 ;\n",
+      "Epoch 0/1000, Cost: 28.2644\n",
+      " and the parameters are [-0.00359332  0.18547529] -0.010470520930601336 ;\n",
+      "Epoch 0/1000, Cost: 29.8061\n",
+      " and the parameters are [-0.00393449  0.18652655] -0.010576754091877996 ;\n",
+      "Epoch 0/1000, Cost: 29.1796\n",
+      " and the parameters are [-0.00406996  0.18774576] -0.010615185496880354 ;\n",
+      "Epoch 0/1000, Cost: 28.7914\n",
+      " and the parameters are [-0.00411758  0.18903936] -0.010672462564597205 ;\n",
+      "Epoch 0/1000, Cost: 30.5588\n",
+      " and the parameters are [-0.00452812  0.1898741 ] -0.010974644390009225 ;\n",
+      "Epoch 0/1000, Cost: 29.5873\n",
+      " and the parameters are [-0.00465758  0.1909417 ] -0.01133025259209966 ;\n",
+      "Epoch 0/1000, Cost: 27.5545\n",
+      " and the parameters are [-0.0044484   0.19249668] -0.011303315798256426 ;\n",
+      "Epoch 0/1000, Cost: 30.3309\n",
+      " and the parameters are [-0.00448261  0.19343302] -0.011645971705768981 ;\n",
+      "Epoch 0/1000, Cost: 26.9333\n",
+      " and the parameters are [-0.00460975  0.19507006] -0.011412234359233676 ;\n",
+      "Epoch 0/1000, Cost: 28.9305\n",
+      " and the parameters are [-0.00489201  0.19627902] -0.01142290702749466 ;\n",
+      "Epoch 0/1000, Cost: 30.9211\n",
+      " and the parameters are [-0.00499706  0.19697276] -0.011774330415843038 ;\n",
+      "Epoch 0/1000, Cost: 27.4666\n",
+      " and the parameters are [-0.00500592  0.19846207] -0.011543033647791861 ;\n",
+      "Epoch 0/1000, Cost: 28.8097\n",
+      " and the parameters are [-0.00522386  0.19966387] -0.011631126429220104 ;\n",
+      "Epoch 0/1000, Cost: 27.8409\n",
+      " and the parameters are [-0.00538326  0.20105288] -0.011614124024709058 ;\n",
+      "Epoch 0/1000, Cost: 29.7916\n",
+      " and the parameters are [-0.00557599  0.20195354] -0.011718203031829966 ;\n",
+      "Epoch 0/1000, Cost: 26.0496\n",
+      " and the parameters are [-0.00539808  0.20370336] -0.011581450052428274 ;\n",
+      "Epoch 0/1000, Cost: 28.6417\n",
+      " and the parameters are [-0.00544802  0.20486304] -0.011625642470051685 ;\n",
+      "Epoch 0/1000, Cost: 29.9917\n",
+      " and the parameters are [-0.00577457  0.20569514] -0.011776723179294873 ;\n",
+      "Epoch 0/1000, Cost: 26.3615\n",
+      " and the parameters are [-0.00568897  0.20734769] -0.011760890901903881 ;\n",
+      "Epoch 0/1000, Cost: 28.9661\n",
+      " and the parameters are [-0.00583203  0.2084495 ] -0.01182685478501428 ;\n",
+      "Epoch 0/1000, Cost: 29.1492\n",
+      " and the parameters are [-0.00556101  0.20951905] -0.012237562571861673 ;\n",
+      "Epoch 0/1000, Cost: 31.4874\n",
+      " and the parameters are [-0.00591387  0.21009029] -0.01265173252217723 ;\n",
+      "Epoch 0/1000, Cost: 28.1610\n",
+      " and the parameters are [-0.00595703  0.211363  ] -0.012795796627249213 ;\n",
+      "Epoch 0/1000, Cost: 27.4741\n",
+      " and the parameters are [-0.00588106  0.21270698] -0.012775310213354115 ;\n",
+      "Epoch 0/1000, Cost: 29.9366\n",
+      " and the parameters are [-0.00610466  0.21355164] -0.013074087528691696 ;\n",
+      "Epoch 0/1000, Cost: 29.6000\n",
+      " and the parameters are [-0.00639004  0.21451931] -0.013218754515297719 ;\n",
+      "Epoch 0/1000, Cost: 28.7985\n",
+      " and the parameters are [-0.00656218  0.21560603] -0.013423117927402778 ;\n",
+      "Epoch 0/1000, Cost: 30.0545\n",
+      " and the parameters are [-0.00665925  0.21643769] -0.013747999927599706 ;\n",
+      "Epoch 0/1000, Cost: 28.4469\n",
+      " and the parameters are [-0.0068444   0.21750627] -0.013995910592097456 ;\n",
+      "Epoch 0/1000, Cost: 28.8206\n",
+      " and the parameters are [-0.00686686  0.2185924 ] -0.014183515388280511 ;\n",
+      "Epoch 0/1000, Cost: 27.6176\n",
+      " and the parameters are [-0.00673696  0.21993374] -0.014278801586070049 ;\n",
+      "Epoch 0/1000, Cost: 27.7214\n",
+      " and the parameters are [-0.00698769  0.22116733] -0.014328521240334416 ;\n",
+      "Epoch 0/1000, Cost: 26.8457\n",
+      " and the parameters are [-0.007218    0.22253087] -0.01423492648714077 ;\n",
+      "Epoch 0/1000, Cost: 27.3452\n",
+      " and the parameters are [-0.00730809  0.22377729] -0.014257782207332904 ;\n",
+      "Epoch 0/1000, Cost: 27.2650\n",
+      " and the parameters are [-0.00745065  0.22509304] -0.014173322880472159 ;\n",
+      "Epoch 0/1000, Cost: 29.3842\n",
+      " and the parameters are [-0.00739055  0.22598772] -0.014520926864586054 ;\n",
+      "Epoch 0/1000, Cost: 29.4441\n",
+      " and the parameters are [-0.00752662  0.22682926] -0.014778662729541637 ;\n",
+      "Epoch 0/1000, Cost: 28.9884\n",
+      " and the parameters are [-0.00742613  0.22773368] -0.01517885758214116 ;\n",
+      "Epoch 0/1000, Cost: 29.2543\n",
+      " and the parameters are [-0.00771911  0.22857636] -0.015426465653797905 ;\n",
+      "Epoch 0/1000, Cost: 29.5553\n",
+      " and the parameters are [-0.00767722  0.22941399] -0.01589323740456262 ;\n",
+      "Epoch 0/1000, Cost: 27.2255\n",
+      " and the parameters are [-0.00755193  0.23072549] -0.015891222508606164 ;\n",
+      "Epoch 0/1000, Cost: 28.2388\n",
+      " and the parameters are [-0.00767007  0.23181081] -0.016007874198609207 ;\n",
+      "Epoch 0/1000, Cost: 28.8626\n",
+      " and the parameters are [-0.00791154  0.23273373] -0.016229181794562505 ;\n",
+      "Epoch 0/1000, Cost: 26.8525\n",
+      " and the parameters are [-0.00822382  0.23399928] -0.01605392392000999 ;\n",
+      "Epoch 0/1000, Cost: 28.6244\n",
+      " and the parameters are [-0.00829803  0.23499802] -0.016361035362952515 ;\n",
+      "Epoch 0/1000, Cost: 26.7381\n",
+      " and the parameters are [-0.00830857  0.23635462] -0.01627946554664725 ;\n",
+      "Epoch 0/1000, Cost: 28.2856\n",
+      " and the parameters are [-0.0082349   0.23738706] -0.01649477925682849 ;\n",
+      "Epoch 0/1000, Cost: 27.7841\n",
+      " and the parameters are [-0.00805804  0.23854799] -0.016763498222389116 ;\n",
+      "Epoch 0/1000, Cost: 29.0533\n",
+      " and the parameters are [-0.00827836  0.23938449] -0.017168376775152917 ;\n",
+      "Epoch 0/1000, Cost: 28.7652\n",
+      " and the parameters are [-0.00828164  0.24032686] -0.017510872513114707 ;\n",
+      "Epoch 0/1000, Cost: 27.9033\n",
+      " and the parameters are [-0.00832512  0.24138025] -0.01769945477756795 ;\n",
+      "Epoch 0/1000, Cost: 28.3134\n",
+      " and the parameters are [-0.00825958  0.24239061] -0.01799443173738144 ;\n",
+      "Epoch 0/1000, Cost: 29.0269\n",
+      " and the parameters are [-0.00856155  0.24326796] -0.01817938050311855 ;\n",
+      "Epoch 0/1000, Cost: 27.0712\n",
+      " and the parameters are [-0.00860475  0.24452126] -0.01813218245857231 ;\n",
+      "Epoch 0/1000, Cost: 29.3368\n",
+      " and the parameters are [-0.00881873  0.24531292] -0.01844958805402652 ;\n",
+      "Epoch 0/1000, Cost: 26.7278\n",
+      " and the parameters are [-0.0087517   0.24653858] -0.018565396051488374 ;\n",
+      "Epoch 0/1000, Cost: 26.6663\n",
+      " and the parameters are [-0.00883304  0.24779063] -0.01853716905929502 ;\n",
+      "Epoch 0/1000, Cost: 27.8567\n",
+      " and the parameters are [-0.00895851  0.24879631] -0.018703864507329065 ;\n",
+      "Epoch 0/1000, Cost: 28.3459\n",
+      " and the parameters are [-0.00908914  0.24969492] -0.018885546267278796 ;\n",
+      "Epoch 0/1000, Cost: 27.6214\n",
+      " and the parameters are [-0.00916871  0.25068759] -0.019160756567868198 ;\n",
+      "Epoch 0/1000, Cost: 29.0251\n",
+      " and the parameters are [-0.00938272  0.25146691] -0.019494411659568986 ;\n",
+      "Epoch 0/1000, Cost: 30.0438\n",
+      " and the parameters are [-0.00955876  0.25210779] -0.01998443473970098 ;\n",
+      "Epoch 0/1000, Cost: 29.1408\n",
+      " and the parameters are [-0.0096747   0.25283024] -0.02028666136295915 ;\n",
+      "Epoch 0/1000, Cost: 30.0800\n",
+      " and the parameters are [-0.00996982  0.25346253] -0.020738472820210095 ;\n",
+      "Epoch 0/1000, Cost: 26.6581\n",
+      " and the parameters are [-0.01012982  0.25468785] -0.02073674171128535 ;\n",
+      "Epoch 0/1000, Cost: 27.8025\n",
+      " and the parameters are [-0.01034988  0.25565781] -0.020885418783397922 ;\n",
+      "Epoch 0/1000, Cost: 27.4350\n",
+      " and the parameters are [-0.01046417  0.25673128] -0.021070415183252342 ;\n",
+      "Epoch 0/1000, Cost: 28.4802\n",
+      " and the parameters are [-0.01074445  0.25761652] -0.021424410472600325 ;\n",
+      "Epoch 0/1000, Cost: 29.2644\n",
+      " and the parameters are [-0.0109069   0.25842737] -0.021677795306178856 ;\n",
+      "Epoch 0/1000, Cost: 30.2830\n",
+      " and the parameters are [-0.01123736  0.25899622] -0.022163520239912964 ;\n",
+      "Epoch 0/1000, Cost: 27.4061\n",
+      " and the parameters are [-0.01132225  0.25997561] -0.022421076924520226 ;\n",
+      "Epoch 10/1000, Cost: 15.0839\n",
+      " and the parameters are [-0.31203589  0.94555824] -0.5705545364822467 ;\n",
+      "Epoch 10/1000, Cost: 22.0153\n",
+      " and the parameters are [-0.31231211  0.945376  ] -0.5710553258720648 ;\n",
+      "Epoch 10/1000, Cost: 13.1289\n",
+      " and the parameters are [-0.31247094  0.94575437] -0.5711695380532764 ;\n",
+      "Epoch 10/1000, Cost: 17.9650\n",
+      " and the parameters are [-0.31264882  0.94580664] -0.5715084232347013 ;\n",
+      "Epoch 10/1000, Cost: 17.5935\n",
+      " and the parameters are [-0.31270571  0.94596082] -0.5718865960295277 ;\n",
+      "Epoch 10/1000, Cost: 16.8422\n",
+      " and the parameters are [-0.31290618  0.94612864] -0.572228399707436 ;\n",
+      "Epoch 10/1000, Cost: 16.3416\n",
+      " and the parameters are [-0.31316507  0.94628138] -0.5724892191848964 ;\n",
+      "Epoch 10/1000, Cost: 13.5931\n",
+      " and the parameters are [-0.31330323  0.94668669] -0.5725817384875519 ;\n",
+      "Epoch 10/1000, Cost: 20.5470\n",
+      " and the parameters are [-0.3135369   0.94670164] -0.5729633119309929 ;\n",
+      "Epoch 10/1000, Cost: 20.4071\n",
+      " and the parameters are [-0.31373869  0.94672694] -0.573356634933871 ;\n",
+      "Epoch 10/1000, Cost: 16.7334\n",
+      " and the parameters are [-0.31391825  0.94682468] -0.5737487809390132 ;\n",
+      "Epoch 10/1000, Cost: 17.3669\n",
+      " and the parameters are [-0.31395714  0.94705061] -0.5740770165393042 ;\n",
+      "Epoch 10/1000, Cost: 18.2769\n",
+      " and the parameters are [-0.31422414  0.94709432] -0.5744288613053808 ;\n",
+      "Epoch 10/1000, Cost: 16.1438\n",
+      " and the parameters are [-0.3143325   0.94726245] -0.5748390865702122 ;\n",
+      "Epoch 10/1000, Cost: 19.1397\n",
+      " and the parameters are [-0.31448572  0.94726068] -0.5752132673698415 ;\n",
+      "Epoch 10/1000, Cost: 15.5667\n",
+      " and the parameters are [-0.31476355  0.94752461] -0.5754417966333581 ;\n",
+      "Epoch 10/1000, Cost: 12.4305\n",
+      " and the parameters are [-0.31475217  0.94801708] -0.5755475930379971 ;\n",
+      "Epoch 10/1000, Cost: 16.8225\n",
+      " and the parameters are [-0.31503028  0.94817578] -0.5758197413378792 ;\n",
+      "Epoch 10/1000, Cost: 18.0631\n",
+      " and the parameters are [-0.31533287  0.94817755] -0.5761712784109021 ;\n",
+      "Epoch 10/1000, Cost: 19.0578\n",
+      " and the parameters are [-0.31544617  0.94829943] -0.5765464216424416 ;\n",
+      "Epoch 10/1000, Cost: 17.7119\n",
+      " and the parameters are [-0.31566035  0.94843953] -0.5768217152031937 ;\n",
+      "Epoch 10/1000, Cost: 13.6816\n",
+      " and the parameters are [-0.31578565  0.94880934] -0.5769883553567574 ;\n",
+      "Epoch 10/1000, Cost: 16.5042\n",
+      " and the parameters are [-0.31594535  0.94908209] -0.5772623060827123 ;\n",
+      "Epoch 10/1000, Cost: 16.2471\n",
+      " and the parameters are [-0.31612652  0.94936737] -0.5775123288034673 ;\n",
+      "Epoch 10/1000, Cost: 17.0024\n",
+      " and the parameters are [-0.31635846  0.94951974] -0.5778473295482054 ;\n",
+      "Epoch 10/1000, Cost: 15.9843\n",
+      " and the parameters are [-0.3166062   0.94976269] -0.5781294889369829 ;\n",
+      "Epoch 10/1000, Cost: 15.8653\n",
+      " and the parameters are [-0.31685114  0.94989532] -0.5784477785344335 ;\n",
+      "Epoch 10/1000, Cost: 15.9131\n",
+      " and the parameters are [-0.31708565  0.95003855] -0.5787811615243864 ;\n",
+      "Epoch 10/1000, Cost: 14.0834\n",
+      " and the parameters are [-0.31727137  0.95029864] -0.5790359462596258 ;\n",
+      "Epoch 10/1000, Cost: 16.5604\n",
+      " and the parameters are [-0.31739291  0.9503745 ] -0.5794340396014865 ;\n",
+      "Epoch 10/1000, Cost: 16.4645\n",
+      " and the parameters are [-0.3174219   0.95059607] -0.5798294852240985 ;\n",
+      "Epoch 10/1000, Cost: 20.2915\n",
+      " and the parameters are [-0.31780097  0.95054145] -0.580259234868939 ;\n",
+      "Epoch 10/1000, Cost: 18.2610\n",
+      " and the parameters are [-0.31803068  0.9506254 ] -0.580609940918152 ;\n",
+      "Epoch 10/1000, Cost: 19.6250\n",
+      " and the parameters are [-0.31833663  0.95050226] -0.5811114582509798 ;\n",
+      "Epoch 10/1000, Cost: 15.0168\n",
+      " and the parameters are [-0.31844725  0.95083906] -0.5812861092116527 ;\n",
+      "Epoch 10/1000, Cost: 16.4209\n",
+      " and the parameters are [-0.31877845  0.95092325] -0.581478928677178 ;\n",
+      "Epoch 10/1000, Cost: 14.1001\n",
+      " and the parameters are [-0.31881315  0.95127936] -0.581656682802772 ;\n",
+      "Epoch 10/1000, Cost: 16.5965\n",
+      " and the parameters are [-0.31901197  0.95149189] -0.5819462356563484 ;\n",
+      "Epoch 10/1000, Cost: 17.1710\n",
+      " and the parameters are [-0.3192399  0.951638 ] -0.5821263744161319 ;\n",
+      "Epoch 10/1000, Cost: 19.3205\n",
+      " and the parameters are [-0.31945802  0.9516007 ] -0.5826813860292002 ;\n",
+      "Epoch 10/1000, Cost: 15.3721\n",
+      " and the parameters are [-0.31953137  0.95190079] -0.5829449021121 ;\n",
+      "Epoch 10/1000, Cost: 18.8847\n",
+      " and the parameters are [-0.31965474  0.95198914] -0.5832674261726603 ;\n",
+      "Epoch 10/1000, Cost: 14.7192\n",
+      " and the parameters are [-0.31972955  0.95226673] -0.5835336245872625 ;\n",
+      "Epoch 10/1000, Cost: 15.1133\n",
+      " and the parameters are [-0.31959574  0.95256583] -0.583881416938581 ;\n",
+      "Epoch 10/1000, Cost: 14.4639\n",
+      " and the parameters are [-0.31956818  0.95294999] -0.5841312055379452 ;\n",
+      "Epoch 10/1000, Cost: 17.4639\n",
+      " and the parameters are [-0.31979669  0.95307619] -0.5844577266848029 ;\n",
+      "Epoch 10/1000, Cost: 17.7711\n",
+      " and the parameters are [-0.32008302  0.95311851] -0.5848190055532231 ;\n",
+      "Epoch 10/1000, Cost: 15.6921\n",
+      " and the parameters are [-0.32030809  0.95343622] -0.5849783705455046 ;\n",
+      "Epoch 10/1000, Cost: 15.7316\n",
+      " and the parameters are [-0.32030937  0.95364503] -0.5853674323218858 ;\n",
+      "Epoch 10/1000, Cost: 19.3575\n",
+      " and the parameters are [-0.32062053  0.95368999] -0.5857451927882678 ;\n",
+      "Epoch 10/1000, Cost: 16.8798\n",
+      " and the parameters are [-0.32084347  0.95399431] -0.5858622612859177 ;\n",
+      "Epoch 10/1000, Cost: 14.9911\n",
+      " and the parameters are [-0.32118348  0.95426202] -0.585947282090887 ;\n",
+      "Epoch 10/1000, Cost: 19.9926\n",
+      " and the parameters are [-0.3213933   0.95431723] -0.5863370697066363 ;\n",
+      "Epoch 10/1000, Cost: 14.0764\n",
+      " and the parameters are [-0.32158391  0.95457979] -0.5864880828555171 ;\n",
+      "Epoch 10/1000, Cost: 17.9601\n",
+      " and the parameters are [-0.32177643  0.9546572 ] -0.5868549595555276 ;\n",
+      "Epoch 10/1000, Cost: 16.6649\n",
+      " and the parameters are [-0.32193382  0.9548374 ] -0.58716333103475 ;\n",
+      "Epoch 10/1000, Cost: 14.8545\n",
+      " and the parameters are [-0.32201997  0.95515474] -0.5873861492113054 ;\n",
+      "Epoch 10/1000, Cost: 14.7174\n",
+      " and the parameters are [-0.32202333  0.95545315] -0.5876429418691131 ;\n",
+      "Epoch 10/1000, Cost: 15.1132\n",
+      " and the parameters are [-0.32207947  0.95581162] -0.5878484941516132 ;\n",
+      "Epoch 10/1000, Cost: 17.3839\n",
+      " and the parameters are [-0.32236207  0.95597267] -0.5880737525125913 ;\n",
+      "Epoch 10/1000, Cost: 13.8974\n",
+      " and the parameters are [-0.32246731  0.95625103] -0.5883833447461656 ;\n",
+      "Epoch 10/1000, Cost: 19.6809\n",
+      " and the parameters are [-0.32270396  0.95625446] -0.5887630302386166 ;\n",
+      "Epoch 10/1000, Cost: 17.5924\n",
+      " and the parameters are [-0.32274651  0.95644012] -0.5891320906329316 ;\n",
+      "Epoch 10/1000, Cost: 13.7838\n",
+      " and the parameters are [-0.32289814  0.95672501] -0.5893553589387914 ;\n",
+      "Epoch 10/1000, Cost: 19.1605\n",
+      " and the parameters are [-0.323222    0.95666755] -0.5897401961292862 ;\n",
+      "Epoch 10/1000, Cost: 18.5601\n",
+      " and the parameters are [-0.32325295  0.95683226] -0.5900340238465474 ;\n",
+      "Epoch 10/1000, Cost: 12.9178\n",
+      " and the parameters are [-0.32340815  0.95716886] -0.5902184777464224 ;\n",
+      "Epoch 10/1000, Cost: 17.0515\n",
+      " and the parameters are [-0.32370024  0.95731218] -0.5905029896838309 ;\n",
+      "Epoch 10/1000, Cost: 21.7233\n",
+      " and the parameters are [-0.32395819  0.95716375] -0.5910181176604883 ;\n",
+      "Epoch 10/1000, Cost: 15.4577\n",
+      " and the parameters are [-0.32418466  0.95750197] -0.5911523645654532 ;\n",
+      "Epoch 10/1000, Cost: 14.3547\n",
+      " and the parameters are [-0.32432029  0.95769742] -0.5914595789505968 ;\n",
+      "Epoch 10/1000, Cost: 13.9772\n",
+      " and the parameters are [-0.32447516  0.9580286 ] -0.5915941882960732 ;\n",
+      "Epoch 10/1000, Cost: 15.5098\n",
+      " and the parameters are [-0.3247974   0.95814489] -0.5918393378855301 ;\n",
+      "Epoch 10/1000, Cost: 16.6446\n",
+      " and the parameters are [-0.32502811  0.95826869] -0.5921018940664443 ;\n",
+      "Epoch 10/1000, Cost: 16.3730\n",
+      " and the parameters are [-0.32528388  0.95851042] -0.5922772983160568 ;\n",
+      "Epoch 10/1000, Cost: 14.2558\n",
+      " and the parameters are [-0.32540808  0.95896851] -0.5923640891476508 ;\n",
+      "Epoch 10/1000, Cost: 17.2436\n",
+      " and the parameters are [-0.32567268  0.9591354 ] -0.5926072989533846 ;\n",
+      "Epoch 10/1000, Cost: 19.0250\n",
+      " and the parameters are [-0.32592587  0.95914381] -0.5930006943604406 ;\n",
+      "Epoch 10/1000, Cost: 17.3346\n",
+      " and the parameters are [-0.32613814  0.95922468] -0.5933373196289446 ;\n",
+      "Epoch 10/1000, Cost: 17.2689\n",
+      " and the parameters are [-0.32635635  0.95935493] -0.5935805022342804 ;\n",
+      "Epoch 10/1000, Cost: 13.6105\n",
+      " and the parameters are [-0.32653732  0.95968696] -0.5937484312744222 ;\n",
+      "Epoch 10/1000, Cost: 16.2185\n",
+      " and the parameters are [-0.3267556   0.95984186] -0.5939635288498999 ;\n",
+      "Epoch 10/1000, Cost: 16.2744\n",
+      " and the parameters are [-0.32697052  0.95994651] -0.594232592829211 ;\n",
+      "Epoch 10/1000, Cost: 17.8879\n",
+      " and the parameters are [-0.32726561  0.96006467] -0.5945249170949874 ;\n",
+      "Epoch 10/1000, Cost: 16.4496\n",
+      " and the parameters are [-0.3275102   0.96022946] -0.5947159898934157 ;\n",
+      "Epoch 10/1000, Cost: 14.9197\n",
+      " and the parameters are [-0.32757059  0.96051796] -0.5949629885311606 ;\n",
+      "Epoch 10/1000, Cost: 15.3904\n",
+      " and the parameters are [-0.32757251  0.96080482] -0.5952205933552162 ;\n",
+      "Epoch 10/1000, Cost: 17.2360\n",
+      " and the parameters are [-0.32772531  0.96089289] -0.5955800396521056 ;\n",
+      "Epoch 10/1000, Cost: 16.9413\n",
+      " and the parameters are [-0.32791885  0.96106675] -0.5958776190191186 ;\n",
+      "Epoch 10/1000, Cost: 17.6019\n",
+      " and the parameters are [-0.32796788  0.96118886] -0.5962994737550628 ;\n",
+      "Epoch 10/1000, Cost: 17.1209\n",
+      " and the parameters are [-0.32791847  0.96136841] -0.5966667688761718 ;\n",
+      "Epoch 10/1000, Cost: 18.2407\n",
+      " and the parameters are [-0.32805837  0.96155373] -0.5969753934830669 ;\n",
+      "Epoch 10/1000, Cost: 16.0113\n",
+      " and the parameters are [-0.32819077  0.9618583 ] -0.5971111705549895 ;\n",
+      "Epoch 10/1000, Cost: 17.7138\n",
+      " and the parameters are [-0.32835529  0.9619967 ] -0.5973563011780144 ;\n",
+      "Epoch 10/1000, Cost: 15.4731\n",
+      " and the parameters are [-0.32855353  0.96220222] -0.5975864783885393 ;\n",
+      "Epoch 10/1000, Cost: 14.8597\n",
+      " and the parameters are [-0.32856938  0.96246559] -0.5979299050247998 ;\n",
+      "Epoch 10/1000, Cost: 16.2292\n",
+      " and the parameters are [-0.32868414  0.96272091] -0.5982065930161297 ;\n",
+      "Epoch 10/1000, Cost: 17.9096\n",
+      " and the parameters are [-0.32883118  0.96280802] -0.5985851681162637 ;\n",
+      "Epoch 10/1000, Cost: 16.3422\n",
+      " and the parameters are [-0.32884669  0.96300496] -0.5989217340204716 ;\n",
+      "Epoch 10/1000, Cost: 16.9471\n",
+      " and the parameters are [-0.32907496  0.9632442 ] -0.5991654119373271 ;\n",
+      "Epoch 10/1000, Cost: 10.9186\n",
+      " and the parameters are [-0.32906105  0.96378848] -0.5992366534520548 ;\n",
+      "Epoch 10/1000, Cost: 14.7548\n",
+      " and the parameters are [-0.32919203  0.96413972] -0.599318243367365 ;\n",
+      "Epoch 10/1000, Cost: 15.0596\n",
+      " and the parameters are [-0.32931078  0.96443296] -0.5995449142810786 ;\n",
+      "Epoch 10/1000, Cost: 12.7947\n",
+      " and the parameters are [-0.32927662  0.96480909] -0.5998112952121495 ;\n",
+      "Epoch 10/1000, Cost: 16.0582\n",
+      " and the parameters are [-0.32936508  0.96503526] -0.6001141876867491 ;\n",
+      "Epoch 10/1000, Cost: 15.7625\n",
+      " and the parameters are [-0.3295159   0.96519516] -0.6003972594192444 ;\n",
+      "Epoch 10/1000, Cost: 19.7532\n",
+      " and the parameters are [-0.32972972  0.96513978] -0.6008104952535835 ;\n",
+      "Epoch 10/1000, Cost: 16.6311\n",
+      " and the parameters are [-0.32986997  0.96532147] -0.6010599861971918 ;\n",
+      "Epoch 10/1000, Cost: 12.5509\n",
+      " and the parameters are [-0.32986122  0.96570225] -0.6012895918374859 ;\n",
+      "Epoch 10/1000, Cost: 18.7225\n",
+      " and the parameters are [-0.32987109  0.96583759] -0.6016625378560537 ;\n",
+      "Epoch 10/1000, Cost: 17.7202\n",
+      " and the parameters are [-0.32995101  0.96606847] -0.6019078950911251 ;\n",
+      "Epoch 10/1000, Cost: 16.3102\n",
+      " and the parameters are [-0.33026339  0.9661714 ] -0.6021690435897439 ;\n",
+      "Epoch 10/1000, Cost: 16.6114\n",
+      " and the parameters are [-0.33035757  0.96638797] -0.6024828664852461 ;\n",
+      "Epoch 10/1000, Cost: 14.2155\n",
+      " and the parameters are [-0.33036199  0.96671748] -0.602729959173513 ;\n",
+      "Epoch 10/1000, Cost: 17.1342\n",
+      " and the parameters are [-0.33060336  0.96675782] -0.6030810964441079 ;\n",
+      "Epoch 10/1000, Cost: 13.2878\n",
+      " and the parameters are [-0.3305957   0.96721365] -0.6032360902499871 ;\n",
+      "Epoch 10/1000, Cost: 15.2423\n",
+      " and the parameters are [-0.33069545  0.96747041] -0.6034409065146041 ;\n",
+      "Epoch 10/1000, Cost: 16.0735\n",
+      " and the parameters are [-0.33083182  0.96763566] -0.6037663366588412 ;\n",
+      "Epoch 10/1000, Cost: 15.1142\n",
+      " and the parameters are [-0.33100103  0.96781798] -0.6040200866670111 ;\n",
+      "Epoch 10/1000, Cost: 16.0266\n",
+      " and the parameters are [-0.33102559  0.96815182] -0.6042271989736446 ;\n",
+      "Epoch 10/1000, Cost: 15.3213\n",
+      " and the parameters are [-0.3311547   0.96844372] -0.6044055819199202 ;\n",
+      "Epoch 10/1000, Cost: 15.0046\n",
+      " and the parameters are [-0.33122529  0.96862727] -0.6047191323062256 ;\n",
+      "Epoch 10/1000, Cost: 18.5052\n",
+      " and the parameters are [-0.33140435  0.96866122] -0.6051082865895724 ;\n",
+      "Epoch 10/1000, Cost: 15.9571\n",
+      " and the parameters are [-0.33150603  0.96893384] -0.6053110737861342 ;\n",
+      "Epoch 10/1000, Cost: 12.8208\n",
+      " and the parameters are [-0.33166106  0.96930195] -0.605450685391694 ;\n",
+      "Epoch 10/1000, Cost: 15.5109\n",
+      " and the parameters are [-0.33182874  0.96941168] -0.6058342422048378 ;\n",
+      "Epoch 10/1000, Cost: 15.3404\n",
+      " and the parameters are [-0.33205469  0.96969745] -0.6059663677965331 ;\n",
+      "Epoch 10/1000, Cost: 17.5577\n",
+      " and the parameters are [-0.33220939  0.96987694] -0.6062916313470618 ;\n",
+      "Epoch 10/1000, Cost: 19.0902\n",
+      " and the parameters are [-0.33238822  0.96995879] -0.6066419336720172 ;\n",
+      "Epoch 10/1000, Cost: 18.0144\n",
+      " and the parameters are [-0.33276885  0.97005163] -0.606900266643018 ;\n",
+      "Epoch 10/1000, Cost: 17.2589\n",
+      " and the parameters are [-0.33283489  0.97017001] -0.6072846461894461 ;\n",
+      "Epoch 10/1000, Cost: 19.9782\n",
+      " and the parameters are [-0.33296481  0.97009554] -0.6078612163658984 ;\n",
+      "Epoch 10/1000, Cost: 17.6978\n",
+      " and the parameters are [-0.33320813  0.97019639] -0.60825687283994 ;\n",
+      "Epoch 10/1000, Cost: 17.4384\n",
+      " and the parameters are [-0.33341531  0.97031418] -0.6086430018576457 ;\n",
+      "Epoch 10/1000, Cost: 14.9741\n",
+      " and the parameters are [-0.33363409  0.9705931 ] -0.6087802450041164 ;\n",
+      "Epoch 10/1000, Cost: 14.3635\n",
+      " and the parameters are [-0.33363479  0.97091627] -0.6090168016811237 ;\n",
+      "Epoch 10/1000, Cost: 14.6675\n",
+      " and the parameters are [-0.33370839  0.97117354] -0.609237240071356 ;\n",
+      "Epoch 10/1000, Cost: 12.7088\n",
+      " and the parameters are [-0.33381568  0.97158446] -0.6093808764814523 ;\n",
+      "Epoch 10/1000, Cost: 17.0146\n",
+      " and the parameters are [-0.33404457  0.97173274] -0.6096921623901224 ;\n",
+      "Epoch 10/1000, Cost: 15.9723\n",
+      " and the parameters are [-0.3342803   0.97190529] -0.6100433634538424 ;\n",
+      "Epoch 10/1000, Cost: 15.9742\n",
+      " and the parameters are [-0.33452326  0.97205426] -0.6103717956408126 ;\n",
+      "Epoch 10/1000, Cost: 15.5541\n",
+      " and the parameters are [-0.33478544  0.97223498] -0.6105978356550688 ;\n",
+      "Epoch 10/1000, Cost: 15.6155\n",
+      " and the parameters are [-0.3349093  0.9724446] -0.6108400648042278 ;\n",
+      "Epoch 10/1000, Cost: 16.1363\n",
+      " and the parameters are [-0.33516206  0.9726696 ] -0.6110664524760542 ;\n",
+      "Epoch 10/1000, Cost: 18.1368\n",
+      " and the parameters are [-0.3352798   0.97279002] -0.6113685389129301 ;\n",
+      "Epoch 10/1000, Cost: 18.2935\n",
+      " and the parameters are [-0.33556867  0.97278657] -0.611737860161564 ;\n",
+      "Epoch 10/1000, Cost: 16.8385\n",
+      " and the parameters are [-0.33575105  0.97296829] -0.6120297950079182 ;\n",
+      "Epoch 10/1000, Cost: 19.4209\n",
+      " and the parameters are [-0.33620485  0.97293192] -0.6123400152817497 ;\n",
+      "Epoch 10/1000, Cost: 15.1956\n",
+      " and the parameters are [-0.33630818  0.97323672] -0.6126029053959 ;\n",
+      "Epoch 10/1000, Cost: 16.1264\n",
+      " and the parameters are [-0.33640078  0.97354006] -0.6127117313528161 ;\n",
+      "Epoch 10/1000, Cost: 15.8401\n",
+      " and the parameters are [-0.33658699  0.97378931] -0.6129648472026061 ;\n",
+      "Epoch 10/1000, Cost: 16.2861\n",
+      " and the parameters are [-0.33674144  0.97388341] -0.6133557968127993 ;\n",
+      "Epoch 10/1000, Cost: 21.0016\n",
+      " and the parameters are [-0.33731273  0.97371781] -0.6136581568409787 ;\n",
+      "Epoch 10/1000, Cost: 15.1298\n",
+      " and the parameters are [-0.3374289   0.97399849] -0.6138880697118183 ;\n",
+      "Epoch 10/1000, Cost: 13.8499\n",
+      " and the parameters are [-0.33763072  0.97434002] -0.6139980879529994 ;\n",
+      "Epoch 10/1000, Cost: 13.0878\n",
+      " and the parameters are [-0.3375025   0.97477865] -0.6141614173091313 ;\n",
+      "Epoch 10/1000, Cost: 12.4427\n",
+      " and the parameters are [-0.33742074  0.97520474] -0.6143120657738634 ;\n",
+      "Epoch 10/1000, Cost: 19.4368\n",
+      " and the parameters are [-0.33755148  0.9752563 ] -0.6147373855504228 ;\n",
+      "Epoch 10/1000, Cost: 16.9071\n",
+      " and the parameters are [-0.33785063  0.97537471] -0.6149942198155216 ;\n",
+      "Epoch 10/1000, Cost: 14.9555\n",
+      " and the parameters are [-0.33785309  0.97568892] -0.6151646705786527 ;\n",
+      "Epoch 10/1000, Cost: 16.2282\n",
+      " and the parameters are [-0.3380081   0.97590494] -0.6155470505384751 ;\n",
+      "Epoch 10/1000, Cost: 18.0001\n",
+      " and the parameters are [-0.33815271  0.97597181] -0.6158748958570394 ;\n",
+      "Epoch 10/1000, Cost: 20.6493\n",
+      " and the parameters are [-0.33841555  0.97580967] -0.6164020772878711 ;\n",
+      "Epoch 10/1000, Cost: 17.2071\n",
+      " and the parameters are [-0.33849783  0.97595381] -0.616752787810943 ;\n",
+      "Epoch 10/1000, Cost: 15.7813\n",
+      " and the parameters are [-0.3387542   0.97606047] -0.6170607134375138 ;\n",
+      "Epoch 10/1000, Cost: 17.4504\n",
+      " and the parameters are [-0.33890089  0.97609571] -0.6174502921933949 ;\n",
+      "Epoch 10/1000, Cost: 16.9344\n",
+      " and the parameters are [-0.33908084  0.97624782] -0.617762031239821 ;\n",
+      "Epoch 10/1000, Cost: 16.6070\n",
+      " and the parameters are [-0.33893501  0.9765321 ] -0.6181123753851943 ;\n",
+      "Epoch 10/1000, Cost: 15.9933\n",
+      " and the parameters are [-0.33896053  0.97676255] -0.6184192299397163 ;\n",
+      "Epoch 10/1000, Cost: 12.1673\n",
+      " and the parameters are [-0.33898736  0.9771149 ] -0.6185662252593372 ;\n",
+      "Epoch 10/1000, Cost: 18.0466\n",
+      " and the parameters are [-0.33925821  0.97713233] -0.6189291542031405 ;\n",
+      "Epoch 10/1000, Cost: 16.5076\n",
+      " and the parameters are [-0.33925353  0.97727194] -0.6193139774731324 ;\n",
+      "Epoch 10/1000, Cost: 13.5697\n",
+      " and the parameters are [-0.33957981  0.97768472] -0.6192954859853312 ;\n",
+      "Epoch 10/1000, Cost: 19.1245\n",
+      " and the parameters are [-0.3398166   0.97759726] -0.6197357916245685 ;\n",
+      "Epoch 10/1000, Cost: 14.9119\n",
+      " and the parameters are [-0.3399498   0.97781376] -0.6199805551071541 ;\n",
+      "Epoch 10/1000, Cost: 19.7074\n",
+      " and the parameters are [-0.3403041   0.97769661] -0.6204773860434891 ;\n",
+      "Epoch 10/1000, Cost: 14.4189\n",
+      " and the parameters are [-0.34030172  0.97789491] -0.6207801300575514 ;\n",
+      "Epoch 10/1000, Cost: 18.6588\n",
+      " and the parameters are [-0.34044679  0.9779912 ] -0.6211041311417372 ;\n",
+      "Epoch 10/1000, Cost: 16.4829\n",
+      " and the parameters are [-0.34046594  0.97820889] -0.6214543144957848 ;\n",
+      "Epoch 10/1000, Cost: 16.9102\n",
+      " and the parameters are [-0.3408015   0.97830695] -0.6216439869819799 ;\n",
+      "Epoch 10/1000, Cost: 19.5484\n",
+      " and the parameters are [-0.34100704  0.97831944] -0.6221335311394719 ;\n",
+      "Epoch 10/1000, Cost: 17.7688\n",
+      " and the parameters are [-0.34124906  0.97841966] -0.6224849797933734 ;\n",
+      "Epoch 10/1000, Cost: 15.4159\n",
+      " and the parameters are [-0.3414522   0.97859074] -0.6227469475640675 ;\n",
+      "Epoch 10/1000, Cost: 13.2217\n",
+      " and the parameters are [-0.34151846  0.97896711] -0.6229482347226505 ;\n",
+      "Epoch 10/1000, Cost: 16.0227\n",
+      " and the parameters are [-0.34175069  0.97913352] -0.6232398548614846 ;\n",
+      "Epoch 10/1000, Cost: 13.3759\n",
+      " and the parameters are [-0.34199655  0.97952904] -0.6233389192713302 ;\n",
+      "Epoch 10/1000, Cost: 13.6635\n",
+      " and the parameters are [-0.34220171  0.97973419] -0.6236137119064635 ;\n",
+      "Epoch 10/1000, Cost: 13.0901\n",
+      " and the parameters are [-0.34202642  0.98017453] -0.6238237575455081 ;\n",
+      "Epoch 10/1000, Cost: 16.0542\n",
+      " and the parameters are [-0.34206115  0.98038222] -0.6241509200298331 ;\n",
+      "Epoch 10/1000, Cost: 14.5279\n",
+      " and the parameters are [-0.34230339  0.98052197] -0.6244869372637863 ;\n",
+      "Epoch 10/1000, Cost: 16.2247\n",
+      " and the parameters are [-0.34243899  0.98069613] -0.6248225250248474 ;\n",
+      "Epoch 10/1000, Cost: 16.8204\n",
+      " and the parameters are [-0.34273933  0.98081885] -0.6251052821847004 ;\n",
+      "Epoch 10/1000, Cost: 17.9471\n",
+      " and the parameters are [-0.34304773  0.98096946] -0.6253836859170643 ;\n",
+      "Epoch 10/1000, Cost: 16.3001\n",
+      " and the parameters are [-0.34316623  0.98115437] -0.6256714907076805 ;\n",
+      "Epoch 10/1000, Cost: 13.6434\n",
+      " and the parameters are [-0.3432794   0.98137834] -0.6259260647445613 ;\n",
+      "Epoch 10/1000, Cost: 16.8916\n",
+      " and the parameters are [-0.3435638   0.98145823] -0.6262324889456732 ;\n",
+      "Epoch 10/1000, Cost: 18.5267\n",
+      " and the parameters are [-0.34371124  0.98154708] -0.6266141996766073 ;\n",
+      "Epoch 10/1000, Cost: 12.5312\n",
+      " and the parameters are [-0.34384823  0.98188069] -0.6268092308823573 ;\n",
+      "Epoch 10/1000, Cost: 16.9944\n",
+      " and the parameters are [-0.34408597  0.98195031] -0.6271157180437649 ;\n",
+      "Epoch 10/1000, Cost: 17.3713\n",
+      " and the parameters are [-0.34423141  0.98213698] -0.6274375669991623 ;\n",
+      "Epoch 20/1000, Cost: 11.9201\n",
+      " and the parameters are [-0.59334184  1.24372934] -1.0648992941453315 ;\n",
+      "Epoch 20/1000, Cost: 13.9249\n",
+      " and the parameters are [-0.59354124  1.24370256] -1.0651388191185132 ;\n",
+      "Epoch 20/1000, Cost: 10.4214\n",
+      " and the parameters are [-0.59365036  1.24390975] -1.0653158413727453 ;\n",
+      "Epoch 20/1000, Cost: 11.9402\n",
+      " and the parameters are [-0.5938664   1.24395712] -1.0655631093053912 ;\n",
+      "Epoch 20/1000, Cost: 13.3645\n",
+      " and the parameters are [-0.59417847  1.2438881 ] -1.0658276447228494 ;\n",
+      "Epoch 20/1000, Cost: 11.8685\n",
+      " and the parameters are [-0.59414157  1.24399849] -1.0661198094470552 ;\n",
+      "Epoch 20/1000, Cost: 12.0560\n",
+      " and the parameters are [-0.59412155  1.24415804] -1.0663512717443013 ;\n",
+      "Epoch 20/1000, Cost: 13.9171\n",
+      " and the parameters are [-0.59435256  1.244204  ] -1.066597098184519 ;\n",
+      "Epoch 20/1000, Cost: 12.5510\n",
+      " and the parameters are [-0.59450004  1.24432164] -1.0668180546100452 ;\n",
+      "Epoch 20/1000, Cost: 12.9141\n",
+      " and the parameters are [-0.59467234  1.24435713] -1.0670779379411368 ;\n",
+      "Epoch 20/1000, Cost: 12.4449\n",
+      " and the parameters are [-0.59485675  1.24447861] -1.067238726982613 ;\n",
+      "Epoch 20/1000, Cost: 10.5851\n",
+      " and the parameters are [-0.59491508  1.24471636] -1.0674247236901844 ;\n",
+      "Epoch 20/1000, Cost: 15.0227\n",
+      " and the parameters are [-0.59513081  1.24462794] -1.0677849133131325 ;\n",
+      "Epoch 20/1000, Cost: 9.1951\n",
+      " and the parameters are [-0.59522969  1.24490289] -1.0678492620346052 ;\n",
+      "Epoch 20/1000, Cost: 12.4563\n",
+      " and the parameters are [-0.59530813  1.24503184] -1.0680837381883572 ;\n",
+      "Epoch 20/1000, Cost: 13.9106\n",
+      " and the parameters are [-0.59551773  1.2450337 ] -1.0683724599274746 ;\n",
+      "Epoch 20/1000, Cost: 10.4382\n",
+      " and the parameters are [-0.59568233  1.24521641] -1.0685199917670614 ;\n",
+      "Epoch 20/1000, Cost: 10.3570\n",
+      " and the parameters are [-0.59577727  1.24540792] -1.0687034483583626 ;\n",
+      "Epoch 20/1000, Cost: 13.1511\n",
+      " and the parameters are [-0.595944    1.24559842] -1.0687908848800325 ;\n",
+      "Epoch 20/1000, Cost: 9.9277\n",
+      " and the parameters are [-0.59594414  1.2458354 ] -1.0689390194226283 ;\n",
+      "Epoch 20/1000, Cost: 8.7947\n",
+      " and the parameters are [-0.59597451  1.24611258] -1.0690494438345235 ;\n",
+      "Epoch 20/1000, Cost: 13.8752\n",
+      " and the parameters are [-0.59613324  1.2461536 ] -1.0693160570730385 ;\n",
+      "Epoch 20/1000, Cost: 14.0475\n",
+      " and the parameters are [-0.59619203  1.24619286] -1.0695990910342015 ;\n",
+      "Epoch 20/1000, Cost: 12.7371\n",
+      " and the parameters are [-0.59627835  1.2462306 ] -1.0699274400204335 ;\n",
+      "Epoch 20/1000, Cost: 12.2174\n",
+      " and the parameters are [-0.5965102   1.24625137] -1.0701672529963016 ;\n",
+      "Epoch 20/1000, Cost: 11.9252\n",
+      " and the parameters are [-0.59669071  1.24639921] -1.070309023683556 ;\n",
+      "Epoch 20/1000, Cost: 11.1927\n",
+      " and the parameters are [-0.59670205  1.24668049] -1.070451010440803 ;\n",
+      "Epoch 20/1000, Cost: 11.1822\n",
+      " and the parameters are [-0.59682524  1.24677938] -1.0707183747392697 ;\n",
+      "Epoch 20/1000, Cost: 11.0790\n",
+      " and the parameters are [-0.59687204  1.24700323] -1.0709129609496055 ;\n",
+      "Epoch 20/1000, Cost: 13.0879\n",
+      " and the parameters are [-0.59669432  1.24732986] -1.0710735509271363 ;\n",
+      "Epoch 20/1000, Cost: 12.2663\n",
+      " and the parameters are [-0.59672072  1.24750021] -1.071298328834317 ;\n",
+      "Epoch 20/1000, Cost: 12.1887\n",
+      " and the parameters are [-0.59666354  1.24771773] -1.0715303929902185 ;\n",
+      "Epoch 20/1000, Cost: 11.9905\n",
+      " and the parameters are [-0.59680291  1.24783274] -1.0717144339767712 ;\n",
+      "Epoch 20/1000, Cost: 10.1709\n",
+      " and the parameters are [-0.59687029  1.2480566 ] -1.071830730786288 ;\n",
+      "Epoch 20/1000, Cost: 8.4563\n",
+      " and the parameters are [-0.59695262  1.2483563 ] -1.0718995063806966 ;\n",
+      "Epoch 20/1000, Cost: 12.5616\n",
+      " and the parameters are [-0.59709914  1.24843243] -1.0721569252033325 ;\n",
+      "Epoch 20/1000, Cost: 9.6933\n",
+      " and the parameters are [-0.59714116  1.24871131] -1.0722697690902367 ;\n",
+      "Epoch 20/1000, Cost: 13.0914\n",
+      " and the parameters are [-0.5974377   1.24876788] -1.072456528785648 ;\n",
+      "Epoch 20/1000, Cost: 11.4997\n",
+      " and the parameters are [-0.597478    1.24905441] -1.0725322887388695 ;\n",
+      "Epoch 20/1000, Cost: 12.4107\n",
+      " and the parameters are [-0.59753637  1.24916871] -1.0727746257267432 ;\n",
+      "Epoch 20/1000, Cost: 11.3766\n",
+      " and the parameters are [-0.59762446  1.24943115] -1.0728936492370125 ;\n",
+      "Epoch 20/1000, Cost: 12.0478\n",
+      " and the parameters are [-0.59790892  1.24942867] -1.073174721100915 ;\n",
+      "Epoch 20/1000, Cost: 13.3232\n",
+      " and the parameters are [-0.59802175  1.24951936] -1.073395619665504 ;\n",
+      "Epoch 20/1000, Cost: 15.9144\n",
+      " and the parameters are [-0.59825462  1.24953962] -1.0736139444578559 ;\n",
+      "Epoch 20/1000, Cost: 10.1584\n",
+      " and the parameters are [-0.59842005  1.24975211] -1.0736735774237145 ;\n",
+      "Epoch 20/1000, Cost: 14.0393\n",
+      " and the parameters are [-0.59853222  1.24985373] -1.0739158407739775 ;\n",
+      "Epoch 20/1000, Cost: 11.5059\n",
+      " and the parameters are [-0.5986163   1.24998826] -1.0741572935738324 ;\n",
+      "Epoch 20/1000, Cost: 14.1880\n",
+      " and the parameters are [-0.59877546  1.25002682] -1.0744239876756183 ;\n",
+      "Epoch 20/1000, Cost: 13.3438\n",
+      " and the parameters are [-0.59879617  1.25016015] -1.0746825508347086 ;\n",
+      "Epoch 20/1000, Cost: 13.2970\n",
+      " and the parameters are [-0.59887905  1.25029545] -1.0749093238140697 ;\n",
+      "Epoch 20/1000, Cost: 10.9697\n",
+      " and the parameters are [-0.59896315  1.25058454] -1.0750314186051784 ;\n",
+      "Epoch 20/1000, Cost: 12.2138\n",
+      " and the parameters are [-0.59919227  1.25071669] -1.0752144936719534 ;\n",
+      "Epoch 20/1000, Cost: 8.8057\n",
+      " and the parameters are [-0.59927167  1.2509884 ] -1.0753128353162114 ;\n",
+      "Epoch 20/1000, Cost: 14.1687\n",
+      " and the parameters are [-0.59942469  1.25097198] -1.075640911189152 ;\n",
+      "Epoch 20/1000, Cost: 15.1360\n",
+      " and the parameters are [-0.5994652   1.25108856] -1.0758804519544505 ;\n",
+      "Epoch 20/1000, Cost: 12.5230\n",
+      " and the parameters are [-0.59962198  1.25110473] -1.076147889434867 ;\n",
+      "Epoch 20/1000, Cost: 12.0486\n",
+      " and the parameters are [-0.59950499  1.2513571 ] -1.076331701413329 ;\n",
+      "Epoch 20/1000, Cost: 13.0871\n",
+      " and the parameters are [-0.59961032  1.25143598] -1.076607227061002 ;\n",
+      "Epoch 20/1000, Cost: 12.4363\n",
+      " and the parameters are [-0.59970652  1.25154428] -1.076835243557782 ;\n",
+      "Epoch 20/1000, Cost: 10.3479\n",
+      " and the parameters are [-0.59988555  1.25169859] -1.0769982335002917 ;\n",
+      "Epoch 20/1000, Cost: 11.5364\n",
+      " and the parameters are [-0.60010354  1.25184349] -1.0771544823373023 ;\n",
+      "Epoch 20/1000, Cost: 14.0792\n",
+      " and the parameters are [-0.60031342  1.25182075] -1.0774053763572522 ;\n",
+      "Epoch 20/1000, Cost: 12.4019\n",
+      " and the parameters are [-0.6004368   1.25197282] -1.0776123103975488 ;\n",
+      "Epoch 20/1000, Cost: 14.9978\n",
+      " and the parameters are [-0.6005818   1.25195368] -1.077944931700697 ;\n",
+      "Epoch 20/1000, Cost: 13.4317\n",
+      " and the parameters are [-0.6007065   1.25212349] -1.0780922167758855 ;\n",
+      "Epoch 20/1000, Cost: 12.4779\n",
+      " and the parameters are [-0.6008949  1.2521498] -1.0783112461621251 ;\n",
+      "Epoch 20/1000, Cost: 14.3485\n",
+      " and the parameters are [-0.60099983  1.25214449] -1.078626387285936 ;\n",
+      "Epoch 20/1000, Cost: 12.4049\n",
+      " and the parameters are [-0.60132642  1.25218684] -1.078817409587241 ;\n",
+      "Epoch 20/1000, Cost: 12.8240\n",
+      " and the parameters are [-0.60152797  1.25223978] -1.0790677728441957 ;\n",
+      "Epoch 20/1000, Cost: 11.9235\n",
+      " and the parameters are [-0.60173023  1.25240457] -1.0792502876906156 ;\n",
+      "Epoch 20/1000, Cost: 14.9001\n",
+      " and the parameters are [-0.60179559  1.25247484] -1.07951994931238 ;\n",
+      "Epoch 20/1000, Cost: 12.4613\n",
+      " and the parameters are [-0.60202295  1.25254114] -1.0796721676069314 ;\n",
+      "Epoch 20/1000, Cost: 15.7960\n",
+      " and the parameters are [-0.60213017  1.252415  ] -1.0800712024825094 ;\n",
+      "Epoch 20/1000, Cost: 13.2735\n",
+      " and the parameters are [-0.6023474   1.25256143] -1.0802066171859546 ;\n",
+      "Epoch 20/1000, Cost: 13.3494\n",
+      " and the parameters are [-0.60258073  1.25254671] -1.080450675049179 ;\n",
+      "Epoch 20/1000, Cost: 12.6531\n",
+      " and the parameters are [-0.6027464   1.25255249] -1.0807762923575588 ;\n",
+      "Epoch 20/1000, Cost: 13.6858\n",
+      " and the parameters are [-0.60292044  1.25252529] -1.0810555405062052 ;\n",
+      "Epoch 20/1000, Cost: 14.5027\n",
+      " and the parameters are [-0.60322303  1.25239366] -1.0813315082063781 ;\n",
+      "Epoch 20/1000, Cost: 12.6731\n",
+      " and the parameters are [-0.60338616  1.25247091] -1.0815339510159934 ;\n",
+      "Epoch 20/1000, Cost: 11.9448\n",
+      " and the parameters are [-0.60346916  1.25269768] -1.0816803949722078 ;\n",
+      "Epoch 20/1000, Cost: 13.2286\n",
+      " and the parameters are [-0.60377952  1.25261017] -1.0820012123008298 ;\n",
+      "Epoch 20/1000, Cost: 11.7980\n",
+      " and the parameters are [-0.60384851  1.2527777 ] -1.0822105626913097 ;\n",
+      "Epoch 20/1000, Cost: 12.4224\n",
+      " and the parameters are [-0.60401127  1.25294573] -1.0823567415204385 ;\n",
+      "Epoch 20/1000, Cost: 11.2689\n",
+      " and the parameters are [-0.60405722  1.25320024] -1.0824522786183428 ;\n",
+      "Epoch 20/1000, Cost: 13.4347\n",
+      " and the parameters are [-0.60412882  1.2533059 ] -1.08268682345511 ;\n",
+      "Epoch 20/1000, Cost: 11.6527\n",
+      " and the parameters are [-0.60425022  1.25347754] -1.0828316912981215 ;\n",
+      "Epoch 20/1000, Cost: 11.6675\n",
+      " and the parameters are [-0.60430258  1.25371256] -1.083036002454596 ;\n",
+      "Epoch 20/1000, Cost: 12.1426\n",
+      " and the parameters are [-0.60456363  1.25382011] -1.0831420148684061 ;\n",
+      "Epoch 20/1000, Cost: 18.0868\n",
+      " and the parameters are [-0.60477871  1.25355473] -1.0835432816429738 ;\n",
+      "Epoch 20/1000, Cost: 13.5029\n",
+      " and the parameters are [-0.6048383  1.2536527] -1.0837891064912581 ;\n",
+      "Epoch 20/1000, Cost: 16.8928\n",
+      " and the parameters are [-0.60492909  1.2536213 ] -1.0840430448741474 ;\n",
+      "Epoch 20/1000, Cost: 11.3510\n",
+      " and the parameters are [-0.60498058  1.25377426] -1.0842995493782122 ;\n",
+      "Epoch 20/1000, Cost: 15.9773\n",
+      " and the parameters are [-0.60517964  1.25373287] -1.08457128710622 ;\n",
+      "Epoch 20/1000, Cost: 10.4874\n",
+      " and the parameters are [-0.60522302  1.25391769] -1.0847797769714516 ;\n",
+      "Epoch 20/1000, Cost: 13.0507\n",
+      " and the parameters are [-0.60534785  1.25404288] -1.0850068183285695 ;\n",
+      "Epoch 20/1000, Cost: 14.0195\n",
+      " and the parameters are [-0.60551827  1.25405423] -1.0852928977733391 ;\n",
+      "Epoch 20/1000, Cost: 12.9395\n",
+      " and the parameters are [-0.60574336  1.25414449] -1.0854692317345611 ;\n",
+      "Epoch 20/1000, Cost: 11.4707\n",
+      " and the parameters are [-0.60579039  1.25434888] -1.085636438082673 ;\n",
+      "Epoch 20/1000, Cost: 14.7045\n",
+      " and the parameters are [-0.60609354  1.25437257] -1.085818473799792 ;\n",
+      "Epoch 20/1000, Cost: 13.1234\n",
+      " and the parameters are [-0.60613638  1.2546026 ] -1.0858975091806422 ;\n",
+      "Epoch 20/1000, Cost: 12.8011\n",
+      " and the parameters are [-0.60630193  1.25475025] -1.085999904383747 ;\n",
+      "Epoch 20/1000, Cost: 10.7128\n",
+      " and the parameters are [-0.60630041  1.25499436] -1.0861242448613415 ;\n",
+      "Epoch 20/1000, Cost: 11.4535\n",
+      " and the parameters are [-0.60633829  1.25523196] -1.086250787172445 ;\n",
+      "Epoch 20/1000, Cost: 11.7241\n",
+      " and the parameters are [-0.60624777  1.25545813] -1.0865052721361337 ;\n",
+      "Epoch 20/1000, Cost: 12.9057\n",
+      " and the parameters are [-0.60648464  1.25550805] -1.0866931214512685 ;\n",
+      "Epoch 20/1000, Cost: 10.1472\n",
+      " and the parameters are [-0.60649545  1.25574348] -1.086878400879473 ;\n",
+      "Epoch 20/1000, Cost: 13.5221\n",
+      " and the parameters are [-0.60674491  1.25569297] -1.0871084762296461 ;\n",
+      "Epoch 20/1000, Cost: 11.2817\n",
+      " and the parameters are [-0.60695868  1.25575488] -1.0873528210696188 ;\n",
+      "Epoch 20/1000, Cost: 11.9992\n",
+      " and the parameters are [-0.60708732  1.25587481] -1.087555793960234 ;\n",
+      "Epoch 20/1000, Cost: 14.7348\n",
+      " and the parameters are [-0.60741272  1.25574997] -1.0878952655791834 ;\n",
+      "Epoch 20/1000, Cost: 11.9470\n",
+      " and the parameters are [-0.60757656  1.25578317] -1.0881413198353462 ;\n",
+      "Epoch 20/1000, Cost: 11.8068\n",
+      " and the parameters are [-0.60767313  1.25596153] -1.088313170357985 ;\n",
+      "Epoch 20/1000, Cost: 12.0057\n",
+      " and the parameters are [-0.60768839  1.25610748] -1.0885359222922733 ;\n",
+      "Epoch 20/1000, Cost: 10.4057\n",
+      " and the parameters are [-0.60775156  1.2563647 ] -1.0886048244171587 ;\n",
+      "Epoch 20/1000, Cost: 11.6011\n",
+      " and the parameters are [-0.60778641  1.25658031] -1.0887635419831996 ;\n",
+      "Epoch 20/1000, Cost: 14.5063\n",
+      " and the parameters are [-0.60801197  1.25646824] -1.0891465313274857 ;\n",
+      "Epoch 20/1000, Cost: 13.1491\n",
+      " and the parameters are [-0.60826038  1.25649899] -1.0893714769637932 ;\n",
+      "Epoch 20/1000, Cost: 14.4972\n",
+      " and the parameters are [-0.608301    1.25658262] -1.0896820051795415 ;\n",
+      "Epoch 20/1000, Cost: 12.0428\n",
+      " and the parameters are [-0.60828499  1.2567224 ] -1.0899376506079856 ;\n",
+      "Epoch 20/1000, Cost: 12.2223\n",
+      " and the parameters are [-0.60828551  1.25693313] -1.090146523610228 ;\n",
+      "Epoch 20/1000, Cost: 14.0269\n",
+      " and the parameters are [-0.60847792  1.25697957] -1.090342830146369 ;\n",
+      "Epoch 20/1000, Cost: 10.5818\n",
+      " and the parameters are [-0.60841844  1.25733243] -1.0904307008878744 ;\n",
+      "Epoch 20/1000, Cost: 11.9774\n",
+      " and the parameters are [-0.60859164  1.25741528] -1.0906466053433528 ;\n",
+      "Epoch 20/1000, Cost: 13.8597\n",
+      " and the parameters are [-0.60873895  1.25752566] -1.0909024429263905 ;\n",
+      "Epoch 20/1000, Cost: 12.2149\n",
+      " and the parameters are [-0.60873678  1.25773676] -1.0910812032751704 ;\n",
+      "Epoch 20/1000, Cost: 13.9102\n",
+      " and the parameters are [-0.60883975  1.25781111] -1.0913421204888505 ;\n",
+      "Epoch 20/1000, Cost: 12.7907\n",
+      " and the parameters are [-0.60919394  1.25788629] -1.0913758588937068 ;\n",
+      "Epoch 20/1000, Cost: 13.0675\n",
+      " and the parameters are [-0.60934621  1.25802892] -1.0915744647645962 ;\n",
+      "Epoch 20/1000, Cost: 10.4593\n",
+      " and the parameters are [-0.60940117  1.25827344] -1.0917259814023406 ;\n",
+      "Epoch 20/1000, Cost: 11.4076\n",
+      " and the parameters are [-0.60950747  1.258397  ] -1.0919754562923132 ;\n",
+      "Epoch 20/1000, Cost: 13.8564\n",
+      " and the parameters are [-0.60950665  1.25850787] -1.092189674598289 ;\n",
+      "Epoch 20/1000, Cost: 8.9775\n",
+      " and the parameters are [-0.60950379  1.25882304] -1.0922555052800695 ;\n",
+      "Epoch 20/1000, Cost: 11.9364\n",
+      " and the parameters are [-0.60964265  1.25899814] -1.0923930084419 ;\n",
+      "Epoch 20/1000, Cost: 13.4291\n",
+      " and the parameters are [-0.60973476  1.25904391] -1.0926795749675116 ;\n",
+      "Epoch 20/1000, Cost: 14.4676\n",
+      " and the parameters are [-0.61010276  1.25899877] -1.092955211159046 ;\n",
+      "Epoch 20/1000, Cost: 12.6615\n",
+      " and the parameters are [-0.6102364   1.25922844] -1.0930293009826146 ;\n",
+      "Epoch 20/1000, Cost: 13.1771\n",
+      " and the parameters are [-0.61028528  1.25941429] -1.0932564392996893 ;\n",
+      "Epoch 20/1000, Cost: 12.8949\n",
+      " and the parameters are [-0.61036105  1.25946863] -1.0935334259201661 ;\n",
+      "Epoch 20/1000, Cost: 15.6266\n",
+      " and the parameters are [-0.61049486  1.25928555] -1.093856542367628 ;\n",
+      "Epoch 20/1000, Cost: 12.8009\n",
+      " and the parameters are [-0.61053916  1.259417  ] -1.094117340027558 ;\n",
+      "Epoch 20/1000, Cost: 10.8163\n",
+      " and the parameters are [-0.61067593  1.25956119] -1.09427348631672 ;\n",
+      "Epoch 20/1000, Cost: 11.4291\n",
+      " and the parameters are [-0.61073776  1.25981787] -1.094425265202919 ;\n",
+      "Epoch 20/1000, Cost: 11.7742\n",
+      " and the parameters are [-0.6108588   1.25994187] -1.0945726009545285 ;\n",
+      "Epoch 20/1000, Cost: 12.2948\n",
+      " and the parameters are [-0.6109141  1.2601148] -1.0947692165355531 ;\n",
+      "Epoch 20/1000, Cost: 12.0361\n",
+      " and the parameters are [-0.61105017  1.26023625] -1.094991424655296 ;\n",
+      "Epoch 20/1000, Cost: 12.0994\n",
+      " and the parameters are [-0.61126402  1.26032477] -1.0951622570421833 ;\n",
+      "Epoch 20/1000, Cost: 10.9781\n",
+      " and the parameters are [-0.61131415  1.26062318] -1.0952506746273858 ;\n",
+      "Epoch 20/1000, Cost: 9.5613\n",
+      " and the parameters are [-0.6113792   1.26092232] -1.0953382490127885 ;\n",
+      "Epoch 20/1000, Cost: 9.7204\n",
+      " and the parameters are [-0.61147919  1.26110276] -1.0955652291174223 ;\n",
+      "Epoch 20/1000, Cost: 13.0398\n",
+      " and the parameters are [-0.61165497  1.26123357] -1.0957067642257556 ;\n",
+      "Epoch 20/1000, Cost: 12.4263\n",
+      " and the parameters are [-0.61186662  1.26136848] -1.0958294217149045 ;\n",
+      "Epoch 20/1000, Cost: 11.7384\n",
+      " and the parameters are [-0.61195026  1.26155144] -1.0960148845275985 ;\n",
+      "Epoch 20/1000, Cost: 11.2347\n",
+      " and the parameters are [-0.61190645  1.26183183] -1.096179313552001 ;\n",
+      "Epoch 20/1000, Cost: 12.5312\n",
+      " and the parameters are [-0.61213677  1.26189941] -1.0963916771218263 ;\n",
+      "Epoch 20/1000, Cost: 12.2584\n",
+      " and the parameters are [-0.61205436  1.26214562] -1.0965775100365844 ;\n",
+      "Epoch 20/1000, Cost: 14.4422\n",
+      " and the parameters are [-0.61215449  1.26221825] -1.0968164096968869 ;\n",
+      "Epoch 20/1000, Cost: 13.7504\n",
+      " and the parameters are [-0.6122726  1.2623143] -1.097058746966936 ;\n",
+      "Epoch 20/1000, Cost: 11.1854\n",
+      " and the parameters are [-0.61226778  1.2625184 ] -1.097249186848504 ;\n",
+      "Epoch 20/1000, Cost: 13.9484\n",
+      " and the parameters are [-0.61245852  1.26255276] -1.09748397920132 ;\n",
+      "Epoch 20/1000, Cost: 11.3146\n",
+      " and the parameters are [-0.61260313  1.26265671] -1.0977056939089116 ;\n",
+      "Epoch 20/1000, Cost: 12.5339\n",
+      " and the parameters are [-0.61262946  1.2627805 ] -1.0979889775500584 ;\n",
+      "Epoch 20/1000, Cost: 13.8474\n",
+      " and the parameters are [-0.61286109  1.26292186] -1.0980614516635459 ;\n",
+      "Epoch 20/1000, Cost: 8.7276\n",
+      " and the parameters are [-0.61284112  1.26324294] -1.0981792567985438 ;\n",
+      "Epoch 20/1000, Cost: 8.9950\n",
+      " and the parameters are [-0.61288221  1.26356008] -1.0983053685575925 ;\n",
+      "Epoch 20/1000, Cost: 11.7266\n",
+      " and the parameters are [-0.61295871  1.26368632] -1.0984922343314232 ;\n",
+      "Epoch 20/1000, Cost: 16.0552\n",
+      " and the parameters are [-0.61319908  1.26357314] -1.0988087563526794 ;\n",
+      "Epoch 20/1000, Cost: 11.1818\n",
+      " and the parameters are [-0.61333616  1.26372295] -1.0990441651365481 ;\n",
+      "Epoch 20/1000, Cost: 10.6981\n",
+      " and the parameters are [-0.61331314  1.2638865 ] -1.0992756225006233 ;\n",
+      "Epoch 20/1000, Cost: 13.8131\n",
+      " and the parameters are [-0.61350678  1.26391584] -1.0995020405129108 ;\n",
+      "Epoch 20/1000, Cost: 8.7038\n",
+      " and the parameters are [-0.6136479   1.26415487] -1.0995658478647663 ;\n",
+      "Epoch 20/1000, Cost: 12.0950\n",
+      " and the parameters are [-0.6137783  1.2642019] -1.0998193802954666 ;\n",
+      "Epoch 20/1000, Cost: 11.2229\n",
+      " and the parameters are [-0.61390469  1.26448397] -1.0998818300247568 ;\n",
+      "Epoch 20/1000, Cost: 11.1440\n",
+      " and the parameters are [-0.6139406   1.26466422] -1.1000768939334566 ;\n",
+      "Epoch 20/1000, Cost: 13.4257\n",
+      " and the parameters are [-0.61397691  1.26474007] -1.1003822107490697 ;\n",
+      "Epoch 20/1000, Cost: 13.3546\n",
+      " and the parameters are [-0.61413235  1.26477039] -1.1006854498710368 ;\n",
+      "Epoch 20/1000, Cost: 10.8819\n",
+      " and the parameters are [-0.61415645  1.26507587] -1.1007580403446864 ;\n",
+      "Epoch 20/1000, Cost: 12.2340\n",
+      " and the parameters are [-0.61407839  1.26526923] -1.1010280098476457 ;\n",
+      "Epoch 20/1000, Cost: 11.9221\n",
+      " and the parameters are [-0.61413025  1.26539879] -1.1013077310514803 ;\n",
+      "Epoch 20/1000, Cost: 11.6622\n",
+      " and the parameters are [-0.61421899  1.26558551] -1.1014993827880184 ;\n",
+      "Epoch 20/1000, Cost: 12.0059\n",
+      " and the parameters are [-0.6144124   1.26568223] -1.1016667579951636 ;\n",
+      "Epoch 20/1000, Cost: 11.6392\n",
+      " and the parameters are [-0.61464879  1.26579565] -1.1018452075374212 ;\n",
+      "Epoch 20/1000, Cost: 13.5453\n",
+      " and the parameters are [-0.614825    1.26586615] -1.101973787315907 ;\n",
+      "Epoch 20/1000, Cost: 11.3808\n",
+      " and the parameters are [-0.61494046  1.26604772] -1.1020930981344288 ;\n",
+      "Epoch 20/1000, Cost: 11.3066\n",
+      " and the parameters are [-0.61502244  1.26618089] -1.1022971289832721 ;\n",
+      "Epoch 20/1000, Cost: 10.5838\n",
+      " and the parameters are [-0.61491187  1.26643234] -1.1025103348915666 ;\n",
+      "Epoch 20/1000, Cost: 11.9540\n",
+      " and the parameters are [-0.61510496  1.26648108] -1.1027166657164498 ;\n",
+      "Epoch 20/1000, Cost: 9.8455\n",
+      " and the parameters are [-0.61517827  1.26669751] -1.1028719147455233 ;\n",
+      "Epoch 20/1000, Cost: 14.4629\n",
+      " and the parameters are [-0.61530376  1.26669461] -1.1031963225055823 ;\n",
+      "Epoch 20/1000, Cost: 9.8309\n",
+      " and the parameters are [-0.61529195  1.26692374] -1.10338255926354 ;\n",
+      "Epoch 20/1000, Cost: 15.1923\n",
+      " and the parameters are [-0.61558216  1.26667469] -1.1038016991511952 ;\n",
+      "Epoch 20/1000, Cost: 13.0288\n",
+      " and the parameters are [-0.61572633  1.26680556] -1.1039492529356474 ;\n",
+      "Epoch 20/1000, Cost: 11.9837\n",
+      " and the parameters are [-0.61592692  1.26682654] -1.1042174012316834 ;\n",
+      "Epoch 20/1000, Cost: 12.4287\n",
+      " and the parameters are [-0.61599382  1.26687885] -1.1045194761652457 ;\n",
+      "Epoch 20/1000, Cost: 13.6943\n",
+      " and the parameters are [-0.61607422  1.26691957] -1.1048478585723434 ;\n",
+      "Epoch 20/1000, Cost: 13.4634\n",
+      " and the parameters are [-0.61625806  1.26696122] -1.1051282427607216 ;\n",
+      "Epoch 20/1000, Cost: 12.3669\n",
+      " and the parameters are [-0.61633953  1.26707527] -1.105330259255009 ;\n",
+      "Epoch 20/1000, Cost: 13.8165\n",
+      " and the parameters are [-0.6164887   1.26717091] -1.1055055184783116 ;\n",
+      "Epoch 20/1000, Cost: 8.8067\n",
+      " and the parameters are [-0.61655427  1.26760624] -1.105462720339332 ;\n",
+      "Epoch 20/1000, Cost: 11.3889\n",
+      " and the parameters are [-0.61666029  1.26777913] -1.1056622554246787 ;\n",
+      "Epoch 20/1000, Cost: 11.2437\n",
+      " and the parameters are [-0.61695345  1.26784611] -1.1058442249906306 ;\n",
+      "Epoch 30/1000, Cost: 10.7899\n",
+      " and the parameters are [-0.80248506  1.46026454] -1.4290872497987088 ;\n",
+      "Epoch 30/1000, Cost: 10.2531\n",
+      " and the parameters are [-0.80254649  1.46036765] -1.4292672913134215 ;\n",
+      "Epoch 30/1000, Cost: 11.5439\n",
+      " and the parameters are [-0.80262086  1.46047658] -1.4294301328364387 ;\n",
+      "Epoch 30/1000, Cost: 10.3783\n",
+      " and the parameters are [-0.80266438  1.4605918 ] -1.429606730104024 ;\n",
+      "Epoch 30/1000, Cost: 9.8620\n",
+      " and the parameters are [-0.80284696  1.46072093] -1.4297090114612363 ;\n",
+      "Epoch 30/1000, Cost: 10.5409\n",
+      " and the parameters are [-0.8027989  1.4609308] -1.4298619014430947 ;\n",
+      "Epoch 30/1000, Cost: 9.9821\n",
+      " and the parameters are [-0.80290134  1.46122828] -1.4298207511403753 ;\n",
+      "Epoch 30/1000, Cost: 11.7873\n",
+      " and the parameters are [-0.80310716  1.46112604] -1.430097324584745 ;\n",
+      "Epoch 30/1000, Cost: 10.3648\n",
+      " and the parameters are [-0.80305295  1.46125412] -1.4302969640969758 ;\n",
+      "Epoch 30/1000, Cost: 9.8218\n",
+      " and the parameters are [-0.80307683  1.46133581] -1.43049729990495 ;\n",
+      "Epoch 30/1000, Cost: 10.6888\n",
+      " and the parameters are [-0.80315379  1.46138273] -1.430712338587179 ;\n",
+      "Epoch 30/1000, Cost: 10.3341\n",
+      " and the parameters are [-0.80330352  1.46141638] -1.4309011940046463 ;\n",
+      "Epoch 30/1000, Cost: 10.3872\n",
+      " and the parameters are [-0.80337242  1.46147162] -1.4310965842398076 ;\n",
+      "Epoch 30/1000, Cost: 11.0050\n",
+      " and the parameters are [-0.80342862  1.46153633] -1.431268838571654 ;\n",
+      "Epoch 30/1000, Cost: 10.8745\n",
+      " and the parameters are [-0.80349374  1.46154539] -1.4314959995756544 ;\n",
+      "Epoch 30/1000, Cost: 8.4188\n",
+      " and the parameters are [-0.80348331  1.46174809] -1.4316197516005158 ;\n",
+      "Epoch 30/1000, Cost: 10.1332\n",
+      " and the parameters are [-0.80348115  1.46197277] -1.4317224894813927 ;\n",
+      "Epoch 30/1000, Cost: 6.4309\n",
+      " and the parameters are [-0.80356333  1.46219893] -1.4317653754425925 ;\n",
+      "Epoch 30/1000, Cost: 12.1580\n",
+      " and the parameters are [-0.80357346  1.46229606] -1.4319833858547075 ;\n",
+      "Epoch 30/1000, Cost: 11.5903\n",
+      " and the parameters are [-0.80365634  1.46230509] -1.4322203021182494 ;\n",
+      "Epoch 30/1000, Cost: 8.2420\n",
+      " and the parameters are [-0.80376881  1.4626163 ] -1.4322096030462224 ;\n",
+      "Epoch 30/1000, Cost: 8.1497\n",
+      " and the parameters are [-0.80377136  1.46275877] -1.4323892653845742 ;\n",
+      "Epoch 30/1000, Cost: 13.3705\n",
+      " and the parameters are [-0.80405525  1.46248213] -1.4327358637863334 ;\n",
+      "Epoch 30/1000, Cost: 9.0193\n",
+      " and the parameters are [-0.80418649  1.46260346] -1.4328540595168595 ;\n",
+      "Epoch 30/1000, Cost: 10.0682\n",
+      " and the parameters are [-0.80441113  1.46268266] -1.4329040751872917 ;\n",
+      "Epoch 30/1000, Cost: 9.1620\n",
+      " and the parameters are [-0.80458368  1.46273514] -1.4330211374003008 ;\n",
+      "Epoch 30/1000, Cost: 9.2525\n",
+      " and the parameters are [-0.80456305  1.46288315] -1.4332138463866773 ;\n",
+      "Epoch 30/1000, Cost: 7.7169\n",
+      " and the parameters are [-0.80464084  1.46311539] -1.4332756266663238 ;\n",
+      "Epoch 30/1000, Cost: 11.2072\n",
+      " and the parameters are [-0.80483545  1.46310059] -1.4334811444878013 ;\n",
+      "Epoch 30/1000, Cost: 12.8784\n",
+      " and the parameters are [-0.80503444  1.46306375] -1.4337030952427983 ;\n",
+      "Epoch 30/1000, Cost: 9.9511\n",
+      " and the parameters are [-0.80505795  1.46326852] -1.43379869305683 ;\n",
+      "Epoch 30/1000, Cost: 9.0329\n",
+      " and the parameters are [-0.80509298  1.46348142] -1.4339097501578635 ;\n",
+      "Epoch 30/1000, Cost: 10.0875\n",
+      " and the parameters are [-0.80514259  1.46360729] -1.4340605313606414 ;\n",
+      "Epoch 30/1000, Cost: 10.4720\n",
+      " and the parameters are [-0.80516804  1.4636948 ] -1.43426534905528 ;\n",
+      "Epoch 30/1000, Cost: 11.5726\n",
+      " and the parameters are [-0.80529558  1.46370619] -1.434474692696048 ;\n",
+      "Epoch 30/1000, Cost: 9.5101\n",
+      " and the parameters are [-0.80541533  1.46379163] -1.4346480545523868 ;\n",
+      "Epoch 30/1000, Cost: 11.7822\n",
+      " and the parameters are [-0.80557858  1.4636771 ] -1.434965114534186 ;\n",
+      "Epoch 30/1000, Cost: 11.7845\n",
+      " and the parameters are [-0.80569146  1.46369708] -1.4351601364179427 ;\n",
+      "Epoch 30/1000, Cost: 9.4784\n",
+      " and the parameters are [-0.80582338  1.46385201] -1.4352885822141834 ;\n",
+      "Epoch 30/1000, Cost: 7.8752\n",
+      " and the parameters are [-0.80590719  1.46402842] -1.4353946300196592 ;\n",
+      "Epoch 30/1000, Cost: 10.4259\n",
+      " and the parameters are [-0.80610655  1.46408392] -1.4355566374613118 ;\n",
+      "Epoch 30/1000, Cost: 11.5346\n",
+      " and the parameters are [-0.80611446  1.46414241] -1.4357754709188681 ;\n",
+      "Epoch 30/1000, Cost: 11.3145\n",
+      " and the parameters are [-0.80619218  1.46413162] -1.4360353540263653 ;\n",
+      "Epoch 30/1000, Cost: 9.2875\n",
+      " and the parameters are [-0.80623648  1.46425323] -1.4361834548555545 ;\n",
+      "Epoch 30/1000, Cost: 9.6614\n",
+      " and the parameters are [-0.8062683   1.46445485] -1.4362897159508625 ;\n",
+      "Epoch 30/1000, Cost: 10.3491\n",
+      " and the parameters are [-0.80631144  1.46447489] -1.436570340300301 ;\n",
+      "Epoch 30/1000, Cost: 9.0398\n",
+      " and the parameters are [-0.80637566  1.46463843] -1.4366767954973456 ;\n",
+      "Epoch 30/1000, Cost: 7.2705\n",
+      " and the parameters are [-0.80640217  1.46494818] -1.4366939299020527 ;\n",
+      "Epoch 30/1000, Cost: 8.9682\n",
+      " and the parameters are [-0.80648538  1.46502035] -1.4369309705436524 ;\n",
+      "Epoch 30/1000, Cost: 6.3953\n",
+      " and the parameters are [-0.80641134  1.46531478] -1.4370022736926245 ;\n",
+      "Epoch 30/1000, Cost: 11.3252\n",
+      " and the parameters are [-0.80641941  1.46536911] -1.4372748608168484 ;\n",
+      "Epoch 30/1000, Cost: 12.0567\n",
+      " and the parameters are [-0.8065272   1.46549391] -1.4374413263867813 ;\n",
+      "Epoch 30/1000, Cost: 6.8964\n",
+      " and the parameters are [-0.8065438   1.46579784] -1.4374425817651981 ;\n",
+      "Epoch 30/1000, Cost: 8.1897\n",
+      " and the parameters are [-0.8065563   1.46595762] -1.4375797776724657 ;\n",
+      "Epoch 30/1000, Cost: 9.1565\n",
+      " and the parameters are [-0.8066319   1.46613625] -1.4377060187893949 ;\n",
+      "Epoch 30/1000, Cost: 10.1216\n",
+      " and the parameters are [-0.80672277  1.46627954] -1.4378226720364673 ;\n",
+      "Epoch 30/1000, Cost: 8.9211\n",
+      " and the parameters are [-0.8068682   1.46635411] -1.437937719868916 ;\n",
+      "Epoch 30/1000, Cost: 9.8621\n",
+      " and the parameters are [-0.8069521   1.46653149] -1.4380097091624582 ;\n",
+      "Epoch 30/1000, Cost: 10.0590\n",
+      " and the parameters are [-0.80708514  1.46660189] -1.4381719771492445 ;\n",
+      "Epoch 30/1000, Cost: 8.5683\n",
+      " and the parameters are [-0.80725236  1.46669476] -1.4382671444315145 ;\n",
+      "Epoch 30/1000, Cost: 11.2086\n",
+      " and the parameters are [-0.80727711  1.46670081] -1.4385333992167084 ;\n",
+      "Epoch 30/1000, Cost: 11.1786\n",
+      " and the parameters are [-0.8075329  1.4665996] -1.43880272163065 ;\n",
+      "Epoch 30/1000, Cost: 9.5002\n",
+      " and the parameters are [-0.80762635  1.46664982] -1.4389820309147532 ;\n",
+      "Epoch 30/1000, Cost: 10.2872\n",
+      " and the parameters are [-0.80775951  1.46673742] -1.4391416010943552 ;\n",
+      "Epoch 30/1000, Cost: 13.9956\n",
+      " and the parameters are [-0.8078764   1.46661118] -1.4394207479201087 ;\n",
+      "Epoch 30/1000, Cost: 11.2271\n",
+      " and the parameters are [-0.80795719  1.46660494] -1.4396899977666828 ;\n",
+      "Epoch 30/1000, Cost: 8.6351\n",
+      " and the parameters are [-0.80801493  1.4667629 ] -1.439825137951039 ;\n",
+      "Epoch 30/1000, Cost: 10.3666\n",
+      " and the parameters are [-0.80808428  1.46685666] -1.4399396876673127 ;\n",
+      "Epoch 30/1000, Cost: 12.5852\n",
+      " and the parameters are [-0.80808536  1.46700126] -1.4401023690608086 ;\n",
+      "Epoch 30/1000, Cost: 10.1786\n",
+      " and the parameters are [-0.80817904  1.46706716] -1.4402987177828477 ;\n",
+      "Epoch 30/1000, Cost: 10.7513\n",
+      " and the parameters are [-0.80832264  1.46711142] -1.4404775040790632 ;\n",
+      "Epoch 30/1000, Cost: 8.3217\n",
+      " and the parameters are [-0.80840993  1.46722966] -1.4406002659060189 ;\n",
+      "Epoch 30/1000, Cost: 12.6331\n",
+      " and the parameters are [-0.80836969  1.46719714] -1.4409476396846874 ;\n",
+      "Epoch 30/1000, Cost: 12.3996\n",
+      " and the parameters are [-0.80854027  1.46716283] -1.441148038295149 ;\n",
+      "Epoch 30/1000, Cost: 12.1021\n",
+      " and the parameters are [-0.80869435  1.46715918] -1.4413590048182021 ;\n",
+      "Epoch 30/1000, Cost: 8.7829\n",
+      " and the parameters are [-0.80890794  1.46725106] -1.4414691626846168 ;\n",
+      "Epoch 30/1000, Cost: 8.8264\n",
+      " and the parameters are [-0.80901169  1.46740527] -1.4415697718206386 ;\n",
+      "Epoch 30/1000, Cost: 12.6497\n",
+      " and the parameters are [-0.80916087  1.46734982] -1.441843566309584 ;\n",
+      "Epoch 30/1000, Cost: 12.4789\n",
+      " and the parameters are [-0.80946756  1.46727405] -1.442048309158937 ;\n",
+      "Epoch 30/1000, Cost: 11.8147\n",
+      " and the parameters are [-0.80953225  1.46730483] -1.442272128905457 ;\n",
+      "Epoch 30/1000, Cost: 10.3878\n",
+      " and the parameters are [-0.80966831  1.46732931] -1.4425078889674492 ;\n",
+      "Epoch 30/1000, Cost: 8.9532\n",
+      " and the parameters are [-0.80967871  1.46750158] -1.4426494752937653 ;\n",
+      "Epoch 30/1000, Cost: 10.4376\n",
+      " and the parameters are [-0.80961922  1.46769937] -1.4427627782011279 ;\n",
+      "Epoch 30/1000, Cost: 11.5885\n",
+      " and the parameters are [-0.8098145   1.46770644] -1.442920273069417 ;\n",
+      "Epoch 30/1000, Cost: 8.3857\n",
+      " and the parameters are [-0.80991249  1.46790778] -1.4430038402690157 ;\n",
+      "Epoch 30/1000, Cost: 8.7221\n",
+      " and the parameters are [-0.80993707  1.46803655] -1.4431371050821877 ;\n",
+      "Epoch 30/1000, Cost: 9.1153\n",
+      " and the parameters are [-0.8099846   1.46806903] -1.4433712824871598 ;\n",
+      "Epoch 30/1000, Cost: 11.1926\n",
+      " and the parameters are [-0.81017173  1.4680333 ] -1.4435639540927283 ;\n",
+      "Epoch 30/1000, Cost: 11.8227\n",
+      " and the parameters are [-0.81023224  1.46798294] -1.4437720167042316 ;\n",
+      "Epoch 30/1000, Cost: 9.8472\n",
+      " and the parameters are [-0.81037346  1.46813688] -1.4438757882678903 ;\n",
+      "Epoch 30/1000, Cost: 11.4702\n",
+      " and the parameters are [-0.81055221  1.46827263] -1.4439421628853275 ;\n",
+      "Epoch 30/1000, Cost: 12.7797\n",
+      " and the parameters are [-0.8107138   1.46822662] -1.4441567377626587 ;\n",
+      "Epoch 30/1000, Cost: 11.4125\n",
+      " and the parameters are [-0.81069645  1.46831196] -1.4444129029119088 ;\n",
+      "Epoch 30/1000, Cost: 9.6265\n",
+      " and the parameters are [-0.81081948  1.46834324] -1.4446089257375265 ;\n",
+      "Epoch 30/1000, Cost: 9.8021\n",
+      " and the parameters are [-0.81094048  1.46849906] -1.444701371459678 ;\n",
+      "Epoch 30/1000, Cost: 8.5524\n",
+      " and the parameters are [-0.81100485  1.46864201] -1.4448177814310077 ;\n",
+      "Epoch 30/1000, Cost: 10.3742\n",
+      " and the parameters are [-0.81117563  1.46863765] -1.4450207242092088 ;\n",
+      "Epoch 30/1000, Cost: 10.4086\n",
+      " and the parameters are [-0.81125253  1.46865314] -1.4453155180106825 ;\n",
+      "Epoch 30/1000, Cost: 9.4819\n",
+      " and the parameters are [-0.81133657  1.46872663] -1.4454974863617764 ;\n",
+      "Epoch 30/1000, Cost: 10.1917\n",
+      " and the parameters are [-0.81133156  1.46885839] -1.445648321665722 ;\n",
+      "Epoch 30/1000, Cost: 10.2671\n",
+      " and the parameters are [-0.81147874  1.46898828] -1.44575546833004 ;\n",
+      "Epoch 30/1000, Cost: 10.1597\n",
+      " and the parameters are [-0.81168628  1.46907755] -1.4458780399349187 ;\n",
+      "Epoch 30/1000, Cost: 10.5429\n",
+      " and the parameters are [-0.81187353  1.4691462 ] -1.446039014233766 ;\n",
+      "Epoch 30/1000, Cost: 8.3296\n",
+      " and the parameters are [-0.81197168  1.46925502] -1.4461749645152648 ;\n",
+      "Epoch 30/1000, Cost: 11.1362\n",
+      " and the parameters are [-0.8120737   1.46922109] -1.446415928791699 ;\n",
+      "Epoch 30/1000, Cost: 11.3856\n",
+      " and the parameters are [-0.81217461  1.4693288 ] -1.4465479088746303 ;\n",
+      "Epoch 30/1000, Cost: 9.7984\n",
+      " and the parameters are [-0.81232305  1.46947183] -1.4466407353695496 ;\n",
+      "Epoch 30/1000, Cost: 10.9994\n",
+      " and the parameters are [-0.81238226  1.46952795] -1.4468406629531054 ;\n",
+      "Epoch 30/1000, Cost: 10.3792\n",
+      " and the parameters are [-0.81244148  1.46961448] -1.4470283823356507 ;\n",
+      "Epoch 30/1000, Cost: 9.8146\n",
+      " and the parameters are [-0.81255853  1.46990442] -1.446986906171366 ;\n",
+      "Epoch 30/1000, Cost: 9.1441\n",
+      " and the parameters are [-0.81265018  1.47012857] -1.4470068232104076 ;\n",
+      "Epoch 30/1000, Cost: 9.4820\n",
+      " and the parameters are [-0.81264752  1.47038473] -1.4471193996956577 ;\n",
+      "Epoch 30/1000, Cost: 8.9361\n",
+      " and the parameters are [-0.81279361  1.47043437] -1.447301142654426 ;\n",
+      "Epoch 30/1000, Cost: 9.7248\n",
+      " and the parameters are [-0.81287344  1.47043329] -1.4475357706031147 ;\n",
+      "Epoch 30/1000, Cost: 6.6110\n",
+      " and the parameters are [-0.81283981  1.4707718 ] -1.4475481835705823 ;\n",
+      "Epoch 30/1000, Cost: 7.3748\n",
+      " and the parameters are [-0.81291939  1.47099129] -1.4475972155538528 ;\n",
+      "Epoch 30/1000, Cost: 8.1835\n",
+      " and the parameters are [-0.81286446  1.47123884] -1.4476996114887781 ;\n",
+      "Epoch 30/1000, Cost: 11.5287\n",
+      " and the parameters are [-0.81303512  1.47127181] -1.4478564409802068 ;\n",
+      "Epoch 30/1000, Cost: 14.0459\n",
+      " and the parameters are [-0.8131927   1.47120344] -1.4480727057651797 ;\n",
+      "Epoch 30/1000, Cost: 11.9759\n",
+      " and the parameters are [-0.81335139  1.47107172] -1.4483492227869756 ;\n",
+      "Epoch 30/1000, Cost: 8.9168\n",
+      " and the parameters are [-0.81344104  1.47134352] -1.4483476741812509 ;\n",
+      "Epoch 30/1000, Cost: 8.1929\n",
+      " and the parameters are [-0.81340078  1.47164025] -1.4484152303437348 ;\n",
+      "Epoch 30/1000, Cost: 10.0915\n",
+      " and the parameters are [-0.81334568  1.47177926] -1.4486218702210554 ;\n",
+      "Epoch 30/1000, Cost: 10.4610\n",
+      " and the parameters are [-0.81339857  1.47186244] -1.4487772859520662 ;\n",
+      "Epoch 30/1000, Cost: 9.3688\n",
+      " and the parameters are [-0.81345315  1.47202154] -1.4489205364334632 ;\n",
+      "Epoch 30/1000, Cost: 10.0863\n",
+      " and the parameters are [-0.81350322  1.47218494] -1.4490464403298227 ;\n",
+      "Epoch 30/1000, Cost: 9.6548\n",
+      " and the parameters are [-0.81349645  1.47230746] -1.4491954365864386 ;\n",
+      "Epoch 30/1000, Cost: 11.7632\n",
+      " and the parameters are [-0.81367599  1.47244708] -1.4492683185049346 ;\n",
+      "Epoch 30/1000, Cost: 10.5965\n",
+      " and the parameters are [-0.81378798  1.47264086] -1.44933903764409 ;\n",
+      "Epoch 30/1000, Cost: 8.2847\n",
+      " and the parameters are [-0.81387777  1.47284078] -1.44941888742895 ;\n",
+      "Epoch 30/1000, Cost: 8.9248\n",
+      " and the parameters are [-0.81397239  1.47298879] -1.4495281014313193 ;\n",
+      "Epoch 30/1000, Cost: 9.5734\n",
+      " and the parameters are [-0.81408365  1.47312915] -1.4496459808317237 ;\n",
+      "Epoch 30/1000, Cost: 10.2709\n",
+      " and the parameters are [-0.81417387  1.47323729] -1.4498155454306425 ;\n",
+      "Epoch 30/1000, Cost: 8.8240\n",
+      " and the parameters are [-0.81420423  1.4734863 ] -1.4498523883630134 ;\n",
+      "Epoch 30/1000, Cost: 10.2927\n",
+      " and the parameters are [-0.81430446  1.47359597] -1.4500049268584887 ;\n",
+      "Epoch 30/1000, Cost: 11.5550\n",
+      " and the parameters are [-0.81454212  1.47361992] -1.4501269703907476 ;\n",
+      "Epoch 30/1000, Cost: 12.0196\n",
+      " and the parameters are [-0.81472894  1.473624  ] -1.4503442730497786 ;\n",
+      "Epoch 30/1000, Cost: 9.3437\n",
+      " and the parameters are [-0.81470652  1.47377849] -1.4504925674761788 ;\n",
+      "Epoch 30/1000, Cost: 12.4074\n",
+      " and the parameters are [-0.81466231  1.47394472] -1.4506230408877054 ;\n",
+      "Epoch 30/1000, Cost: 8.9360\n",
+      " and the parameters are [-0.81476394  1.47417891] -1.4506544080325483 ;\n",
+      "Epoch 30/1000, Cost: 12.5292\n",
+      " and the parameters are [-0.81502986  1.47402685] -1.4509079784784347 ;\n",
+      "Epoch 30/1000, Cost: 10.8782\n",
+      " and the parameters are [-0.81505873  1.47417394] -1.45103323526085 ;\n",
+      "Epoch 30/1000, Cost: 9.7333\n",
+      " and the parameters are [-0.81518494  1.4742684 ] -1.4511754498919682 ;\n",
+      "Epoch 30/1000, Cost: 10.4302\n",
+      " and the parameters are [-0.81520248  1.47448091] -1.451271165576154 ;\n",
+      "Epoch 30/1000, Cost: 9.0136\n",
+      " and the parameters are [-0.81522236  1.47459878] -1.451472472215643 ;\n",
+      "Epoch 30/1000, Cost: 12.2606\n",
+      " and the parameters are [-0.81539773  1.47460264] -1.4516771123232282 ;\n",
+      "Epoch 30/1000, Cost: 12.0781\n",
+      " and the parameters are [-0.81552293  1.47461164] -1.451881122192001 ;\n",
+      "Epoch 30/1000, Cost: 11.3151\n",
+      " and the parameters are [-0.81559408  1.47464096] -1.45211115506023 ;\n",
+      "Epoch 30/1000, Cost: 9.9486\n",
+      " and the parameters are [-0.81568725  1.47480835] -1.4522540203057523 ;\n",
+      "Epoch 30/1000, Cost: 8.1971\n",
+      " and the parameters are [-0.81566546  1.47503222] -1.4523824409359707 ;\n",
+      "Epoch 30/1000, Cost: 8.3575\n",
+      " and the parameters are [-0.81577545  1.47526034] -1.4524000826799814 ;\n",
+      "Epoch 30/1000, Cost: 8.9236\n",
+      " and the parameters are [-0.81582281  1.47536538] -1.4525618872511337 ;\n",
+      "Epoch 30/1000, Cost: 9.5205\n",
+      " and the parameters are [-0.81587264  1.475548  ] -1.4526577919213417 ;\n",
+      "Epoch 30/1000, Cost: 9.2190\n",
+      " and the parameters are [-0.81610693  1.47572762] -1.452661454977282 ;\n",
+      "Epoch 30/1000, Cost: 8.7182\n",
+      " and the parameters are [-0.81621911  1.47580424] -1.4528324256762783 ;\n",
+      "Epoch 30/1000, Cost: 9.7567\n",
+      " and the parameters are [-0.81629122  1.47590852] -1.452997953529951 ;\n",
+      "Epoch 30/1000, Cost: 9.1935\n",
+      " and the parameters are [-0.81629217  1.47610245] -1.4531079698899383 ;\n",
+      "Epoch 30/1000, Cost: 12.0167\n",
+      " and the parameters are [-0.81657512  1.47598529] -1.4533560744497014 ;\n",
+      "Epoch 30/1000, Cost: 9.2476\n",
+      " and the parameters are [-0.81666965  1.4761378 ] -1.453490054852608 ;\n",
+      "Epoch 30/1000, Cost: 11.4513\n",
+      " and the parameters are [-0.81665412  1.47622966] -1.453678173370935 ;\n",
+      "Epoch 30/1000, Cost: 8.3547\n",
+      " and the parameters are [-0.81670289  1.47645926] -1.453748278437395 ;\n",
+      "Epoch 30/1000, Cost: 9.1184\n",
+      " and the parameters are [-0.81676729  1.47681952] -1.4537185708242413 ;\n",
+      "Epoch 30/1000, Cost: 10.7373\n",
+      " and the parameters are [-0.81687993  1.47686751] -1.453913627063908 ;\n",
+      "Epoch 30/1000, Cost: 11.5748\n",
+      " and the parameters are [-0.81700493  1.47693602] -1.4540396558923239 ;\n",
+      "Epoch 30/1000, Cost: 11.6233\n",
+      " and the parameters are [-0.81709454  1.47692661] -1.4542925326015061 ;\n",
+      "Epoch 30/1000, Cost: 10.7781\n",
+      " and the parameters are [-0.81717889  1.47700671] -1.4544975722544913 ;\n",
+      "Epoch 30/1000, Cost: 12.6675\n",
+      " and the parameters are [-0.81743075  1.47679679] -1.4548108573561314 ;\n",
+      "Epoch 30/1000, Cost: 9.2206\n",
+      " and the parameters are [-0.81751557  1.47696323] -1.454925328006444 ;\n",
+      "Epoch 30/1000, Cost: 11.2164\n",
+      " and the parameters are [-0.81754244  1.47702764] -1.4550827055504887 ;\n",
+      "Epoch 30/1000, Cost: 8.7759\n",
+      " and the parameters are [-0.81767246  1.47710425] -1.4552639759702553 ;\n",
+      "Epoch 30/1000, Cost: 10.1435\n",
+      " and the parameters are [-0.8178593  1.4771238] -1.4554322834798352 ;\n",
+      "Epoch 30/1000, Cost: 12.2684\n",
+      " and the parameters are [-0.81795938  1.47710939] -1.4556662274013945 ;\n",
+      "Epoch 30/1000, Cost: 10.8877\n",
+      " and the parameters are [-0.81812686  1.47702288] -1.4559459305643228 ;\n",
+      "Epoch 30/1000, Cost: 13.9377\n",
+      " and the parameters are [-0.81822328  1.47689863] -1.456244803796823 ;\n",
+      "Epoch 30/1000, Cost: 8.7874\n",
+      " and the parameters are [-0.81834145  1.47706088] -1.4563457305058367 ;\n",
+      "Epoch 30/1000, Cost: 9.0103\n",
+      " and the parameters are [-0.81843152  1.47721833] -1.4564504359627894 ;\n",
+      "Epoch 30/1000, Cost: 9.0936\n",
+      " and the parameters are [-0.81838435  1.47738991] -1.456611844819703 ;\n",
+      "Epoch 30/1000, Cost: 10.7691\n",
+      " and the parameters are [-0.81852704  1.47741595] -1.45679753098503 ;\n",
+      "Epoch 30/1000, Cost: 8.4333\n",
+      " and the parameters are [-0.81867528  1.47751701] -1.4569111466225346 ;\n",
+      "Epoch 30/1000, Cost: 11.1517\n",
+      " and the parameters are [-0.81877475  1.47753545] -1.4571364437113115 ;\n",
+      "Epoch 30/1000, Cost: 10.2711\n",
+      " and the parameters are [-0.81886677  1.47751302] -1.4573662464649872 ;\n",
+      "Epoch 30/1000, Cost: 8.0249\n",
+      " and the parameters are [-0.81892039  1.47786007] -1.457318748531291 ;\n",
+      "Epoch 30/1000, Cost: 11.0953\n",
+      " and the parameters are [-0.81897744  1.47786985] -1.4575527001343487 ;\n",
+      "Epoch 30/1000, Cost: 7.8851\n",
+      " and the parameters are [-0.81907975  1.47796928] -1.4577012900064266 ;\n",
+      "Epoch 30/1000, Cost: 11.5224\n",
+      " and the parameters are [-0.81904663  1.47799219] -1.4579682982387823 ;\n",
+      "Epoch 30/1000, Cost: 9.1945\n",
+      " and the parameters are [-0.81906843  1.4781525 ] -1.4581134045904964 ;\n",
+      "Epoch 30/1000, Cost: 9.5376\n",
+      " and the parameters are [-0.8191461   1.47832536] -1.4581939731990166 ;\n",
+      "Epoch 30/1000, Cost: 11.0440\n",
+      " and the parameters are [-0.81929994  1.47833945] -1.4583551366826224 ;\n",
+      "Epoch 30/1000, Cost: 10.1331\n",
+      " and the parameters are [-0.81940744  1.4783908 ] -1.4585457080881155 ;\n",
+      "Epoch 30/1000, Cost: 13.5128\n",
+      " and the parameters are [-0.81960148  1.47829545] -1.4587835112076295 ;\n",
+      "Epoch 30/1000, Cost: 15.8323\n",
+      " and the parameters are [-0.81980926  1.47800625] -1.459192991795348 ;\n",
+      "Epoch 30/1000, Cost: 9.5397\n",
+      " and the parameters are [-0.81983907  1.47830813] -1.4591869143069947 ;\n",
+      "Epoch 30/1000, Cost: 9.1377\n",
+      " and the parameters are [-0.81985065  1.47840158] -1.4593816959092574 ;\n",
+      "Epoch 30/1000, Cost: 8.3080\n",
+      " and the parameters are [-0.81996155  1.47856069] -1.4594756597629135 ;\n",
+      "Epoch 30/1000, Cost: 7.5377\n",
+      " and the parameters are [-0.81996563  1.47880166] -1.4595364890159377 ;\n",
+      "Epoch 30/1000, Cost: 7.8154\n",
+      " and the parameters are [-0.81995019  1.47904181] -1.4596510005817658 ;\n",
+      "Epoch 30/1000, Cost: 10.4553\n",
+      " and the parameters are [-0.82009135  1.47910776] -1.459793797132046 ;\n",
+      "Epoch 30/1000, Cost: 10.5048\n",
+      " and the parameters are [-0.82028028  1.47905642] -1.460036979485679 ;\n",
+      "Epoch 30/1000, Cost: 11.2227\n",
+      " and the parameters are [-0.8202799  1.4791428] -1.46024345025087 ;\n",
+      "Epoch 30/1000, Cost: 10.5449\n",
+      " and the parameters are [-0.82041934  1.47928246] -1.4603488820661847 ;\n",
+      "Epoch 40/1000, Cost: 7.5253\n",
+      " and the parameters are [-0.96583913  1.63508324] -1.7143428125989622 ;\n",
+      "Epoch 40/1000, Cost: 8.2088\n",
+      " and the parameters are [-0.96585167  1.635158  ] -1.7145381264374482 ;\n",
+      "Epoch 40/1000, Cost: 9.9046\n",
+      " and the parameters are [-0.96594426  1.63538056] -1.7145203367325619 ;\n",
+      "Epoch 40/1000, Cost: 9.0042\n",
+      " and the parameters are [-0.96608055  1.63540921] -1.714575276622504 ;\n",
+      "Epoch 40/1000, Cost: 10.0942\n",
+      " and the parameters are [-0.96625785  1.63540593] -1.7147419447265617 ;\n",
+      "Epoch 40/1000, Cost: 9.0415\n",
+      " and the parameters are [-0.96635844  1.63536286] -1.7149244033408606 ;\n",
+      "Epoch 40/1000, Cost: 7.6149\n",
+      " and the parameters are [-0.96652102  1.63543809] -1.7150319929741953 ;\n",
+      "Epoch 40/1000, Cost: 9.9439\n",
+      " and the parameters are [-0.96655606  1.63545404] -1.7152287447930707 ;\n",
+      "Epoch 40/1000, Cost: 8.4089\n",
+      " and the parameters are [-0.9666944   1.63554282] -1.7153161984972956 ;\n",
+      "Epoch 40/1000, Cost: 9.2151\n",
+      " and the parameters are [-0.96668539  1.63558794] -1.7155042265314748 ;\n",
+      "Epoch 40/1000, Cost: 5.9942\n",
+      " and the parameters are [-0.9666898   1.63585402] -1.715514344914715 ;\n",
+      "Epoch 40/1000, Cost: 9.2191\n",
+      " and the parameters are [-0.96681752  1.63592256] -1.7156121716775086 ;\n",
+      "Epoch 40/1000, Cost: 10.8837\n",
+      " and the parameters are [-0.96693186  1.63585185] -1.7157923243812685 ;\n",
+      "Epoch 40/1000, Cost: 6.6923\n",
+      " and the parameters are [-0.96693081  1.63613316] -1.7157937057435177 ;\n",
+      "Epoch 40/1000, Cost: 9.2594\n",
+      " and the parameters are [-0.96695949  1.63618215] -1.7160101644604937 ;\n",
+      "Epoch 40/1000, Cost: 8.1817\n",
+      " and the parameters are [-0.9670974   1.63613556] -1.7161939618500703 ;\n",
+      "Epoch 40/1000, Cost: 9.2027\n",
+      " and the parameters are [-0.96705921  1.63636333] -1.7162790608071856 ;\n",
+      "Epoch 40/1000, Cost: 10.4397\n",
+      " and the parameters are [-0.96721925  1.63639454] -1.7163991886342271 ;\n",
+      "Epoch 40/1000, Cost: 11.9163\n",
+      " and the parameters are [-0.96738773  1.6362897 ] -1.716614140594765 ;\n",
+      "Epoch 40/1000, Cost: 8.8084\n",
+      " and the parameters are [-0.96745625  1.63630924] -1.716807566992545 ;\n",
+      "Epoch 40/1000, Cost: 9.1085\n",
+      " and the parameters are [-0.96750613  1.63649405] -1.7168609923524998 ;\n",
+      "Epoch 40/1000, Cost: 9.4727\n",
+      " and the parameters are [-0.96757482  1.63664336] -1.7169218647404245 ;\n",
+      "Epoch 40/1000, Cost: 5.8741\n",
+      " and the parameters are [-0.9677091   1.63677834] -1.7169410347676999 ;\n",
+      "Epoch 40/1000, Cost: 8.6363\n",
+      " and the parameters are [-0.96794364  1.6366426 ] -1.717168629940622 ;\n",
+      "Epoch 40/1000, Cost: 8.2893\n",
+      " and the parameters are [-0.96801161  1.63669838] -1.7173066787919045 ;\n",
+      "Epoch 40/1000, Cost: 8.6460\n",
+      " and the parameters are [-0.96814988  1.63670329] -1.7174439015090008 ;\n",
+      "Epoch 40/1000, Cost: 9.3877\n",
+      " and the parameters are [-0.96822541  1.63672804] -1.717641205571682 ;\n",
+      "Epoch 40/1000, Cost: 9.0785\n",
+      " and the parameters are [-0.96824592  1.63684491] -1.7177726994561149 ;\n",
+      "Epoch 40/1000, Cost: 6.6939\n",
+      " and the parameters are [-0.96818951  1.63698034] -1.7179332889795589 ;\n",
+      "Epoch 40/1000, Cost: 8.7853\n",
+      " and the parameters are [-0.96827277  1.63693298] -1.7181804846918418 ;\n",
+      "Epoch 40/1000, Cost: 6.3207\n",
+      " and the parameters are [-0.96830128  1.63709604] -1.7182517554823025 ;\n",
+      "Epoch 40/1000, Cost: 8.9158\n",
+      " and the parameters are [-0.96846409  1.63708574] -1.7184318280095745 ;\n",
+      "Epoch 40/1000, Cost: 9.0702\n",
+      " and the parameters are [-0.96855786  1.6370835 ] -1.7186465684454648 ;\n",
+      "Epoch 40/1000, Cost: 10.4284\n",
+      " and the parameters are [-0.96868601  1.63723847] -1.7187094984032827 ;\n",
+      "Epoch 40/1000, Cost: 6.4207\n",
+      " and the parameters are [-0.96870988  1.63750083] -1.7187017569270895 ;\n",
+      "Epoch 40/1000, Cost: 8.2203\n",
+      " and the parameters are [-0.96871722  1.6377393 ] -1.7187343601715828 ;\n",
+      "Epoch 40/1000, Cost: 7.6893\n",
+      " and the parameters are [-0.96878415  1.63790134] -1.7188242054363994 ;\n",
+      "Epoch 40/1000, Cost: 9.8190\n",
+      " and the parameters are [-0.96887668  1.63806293] -1.7188850176128896 ;\n",
+      "Epoch 40/1000, Cost: 7.2566\n",
+      " and the parameters are [-0.96881713  1.63823332] -1.7190155387619093 ;\n",
+      "Epoch 40/1000, Cost: 6.5343\n",
+      " and the parameters are [-0.9688561   1.63834524] -1.719136843470234 ;\n",
+      "Epoch 40/1000, Cost: 9.6648\n",
+      " and the parameters are [-0.96894267  1.63836478] -1.7193132491060685 ;\n",
+      "Epoch 40/1000, Cost: 7.2146\n",
+      " and the parameters are [-0.9689777   1.63858052] -1.7193506954220763 ;\n",
+      "Epoch 40/1000, Cost: 6.2285\n",
+      " and the parameters are [-0.96895391  1.63878624] -1.719443432459862 ;\n",
+      "Epoch 40/1000, Cost: 9.2193\n",
+      " and the parameters are [-0.96909759  1.63882937] -1.7195791925390034 ;\n",
+      "Epoch 40/1000, Cost: 6.9976\n",
+      " and the parameters are [-0.96917093  1.63909032] -1.719557699882592 ;\n",
+      "Epoch 40/1000, Cost: 8.8678\n",
+      " and the parameters are [-0.96929891  1.63914271] -1.719652031047907 ;\n",
+      "Epoch 40/1000, Cost: 7.8383\n",
+      " and the parameters are [-0.96936387  1.63933026] -1.7197366830773007 ;\n",
+      "Epoch 40/1000, Cost: 11.0386\n",
+      " and the parameters are [-0.96944361  1.63924583] -1.719977655958454 ;\n",
+      "Epoch 40/1000, Cost: 8.3206\n",
+      " and the parameters are [-0.96944038  1.63936511] -1.7201191481965619 ;\n",
+      "Epoch 40/1000, Cost: 10.6731\n",
+      " and the parameters are [-0.96954544  1.63923562] -1.7203819893904366 ;\n",
+      "Epoch 40/1000, Cost: 10.2962\n",
+      " and the parameters are [-0.96949982  1.63926415] -1.7205829775397377 ;\n",
+      "Epoch 40/1000, Cost: 13.3373\n",
+      " and the parameters are [-0.96964039  1.63915097] -1.720757017061272 ;\n",
+      "Epoch 40/1000, Cost: 8.9119\n",
+      " and the parameters are [-0.96979963  1.63914835] -1.720907266108879 ;\n",
+      "Epoch 40/1000, Cost: 9.0449\n",
+      " and the parameters are [-0.96985847  1.63922921] -1.7210537702874187 ;\n",
+      "Epoch 40/1000, Cost: 9.3594\n",
+      " and the parameters are [-0.96991146  1.63921164] -1.7213043788902755 ;\n",
+      "Epoch 40/1000, Cost: 7.8717\n",
+      " and the parameters are [-0.97002448  1.63941719] -1.7213135837149316 ;\n",
+      "Epoch 40/1000, Cost: 8.1075\n",
+      " and the parameters are [-0.97012743  1.63943937] -1.7215046424426856 ;\n",
+      "Epoch 40/1000, Cost: 11.2306\n",
+      " and the parameters are [-0.97012384  1.63941343] -1.7217698413908311 ;\n",
+      "Epoch 40/1000, Cost: 7.7182\n",
+      " and the parameters are [-0.97012177  1.63953623] -1.7218996947717946 ;\n",
+      "Epoch 40/1000, Cost: 9.4917\n",
+      " and the parameters are [-0.97019166  1.63964094] -1.722011929220198 ;\n",
+      "Epoch 40/1000, Cost: 8.1659\n",
+      " and the parameters are [-0.97012659  1.63992547] -1.7220498643820903 ;\n",
+      "Epoch 40/1000, Cost: 9.8264\n",
+      " and the parameters are [-0.97022566  1.63998167] -1.7221528722914856 ;\n",
+      "Epoch 40/1000, Cost: 9.5222\n",
+      " and the parameters are [-0.97032794  1.64018205] -1.7221634908592114 ;\n",
+      "Epoch 40/1000, Cost: 8.7618\n",
+      " and the parameters are [-0.97041343  1.64029778] -1.722265561581133 ;\n",
+      "Epoch 40/1000, Cost: 7.8412\n",
+      " and the parameters are [-0.97045316  1.64049432] -1.7223301735067014 ;\n",
+      "Epoch 40/1000, Cost: 8.1708\n",
+      " and the parameters are [-0.97048206  1.64059434] -1.7224894683698235 ;\n",
+      "Epoch 40/1000, Cost: 11.5958\n",
+      " and the parameters are [-0.97058995  1.64055999] -1.722643824325904 ;\n",
+      "Epoch 40/1000, Cost: 11.0223\n",
+      " and the parameters are [-0.97053408  1.64050091] -1.7229233090053855 ;\n",
+      "Epoch 40/1000, Cost: 7.9085\n",
+      " and the parameters are [-0.97040182  1.64085317] -1.7229448060569679 ;\n",
+      "Epoch 40/1000, Cost: 8.3306\n",
+      " and the parameters are [-0.97042999  1.64112652] -1.7229413009757306 ;\n",
+      "Epoch 40/1000, Cost: 9.6122\n",
+      " and the parameters are [-0.97046859  1.64104872] -1.7231732897268253 ;\n",
+      "Epoch 40/1000, Cost: 9.3275\n",
+      " and the parameters are [-0.97040055  1.64129209] -1.7232547908033269 ;\n",
+      "Epoch 40/1000, Cost: 9.2983\n",
+      " and the parameters are [-0.9704666   1.64133319] -1.7234406407181062 ;\n",
+      "Epoch 40/1000, Cost: 8.3813\n",
+      " and the parameters are [-0.97069338  1.64136889] -1.7235219548379321 ;\n",
+      "Epoch 40/1000, Cost: 6.9945\n",
+      " and the parameters are [-0.9707809  1.6415652] -1.7235769022111453 ;\n",
+      "Epoch 40/1000, Cost: 7.6102\n",
+      " and the parameters are [-0.97073967  1.64171869] -1.7237129929116224 ;\n",
+      "Epoch 40/1000, Cost: 9.6900\n",
+      " and the parameters are [-0.97083483  1.64182196] -1.7238507621938892 ;\n",
+      "Epoch 40/1000, Cost: 7.2708\n",
+      " and the parameters are [-0.97096555  1.64195584] -1.7239025764524771 ;\n",
+      "Epoch 40/1000, Cost: 10.5774\n",
+      " and the parameters are [-0.97105815  1.64207479] -1.7239718197023965 ;\n",
+      "Epoch 40/1000, Cost: 11.1818\n",
+      " and the parameters are [-0.97104788  1.64206344] -1.7242094648693316 ;\n",
+      "Epoch 40/1000, Cost: 8.0624\n",
+      " and the parameters are [-0.97116884  1.64206929] -1.724361050155732 ;\n",
+      "Epoch 40/1000, Cost: 8.7325\n",
+      " and the parameters are [-0.97127658  1.64212436] -1.7244669588791508 ;\n",
+      "Epoch 40/1000, Cost: 9.0857\n",
+      " and the parameters are [-0.97136339  1.64204321] -1.7247277378438126 ;\n",
+      "Epoch 40/1000, Cost: 7.7929\n",
+      " and the parameters are [-0.97134503  1.64210266] -1.7249231129692415 ;\n",
+      "Epoch 40/1000, Cost: 9.1723\n",
+      " and the parameters are [-0.97149029  1.64201973] -1.7251426531549936 ;\n",
+      "Epoch 40/1000, Cost: 9.8354\n",
+      " and the parameters are [-0.97156443  1.64216654] -1.7252129765573647 ;\n",
+      "Epoch 40/1000, Cost: 8.0760\n",
+      " and the parameters are [-0.97161817  1.64231325] -1.725318493346354 ;\n",
+      "Epoch 40/1000, Cost: 10.1077\n",
+      " and the parameters are [-0.97177782  1.64235042] -1.7254540094930915 ;\n",
+      "Epoch 40/1000, Cost: 11.7465\n",
+      " and the parameters are [-0.97195392  1.6422722 ] -1.7256126106640428 ;\n",
+      "Epoch 40/1000, Cost: 7.5846\n",
+      " and the parameters are [-0.97199092  1.64239993] -1.7257132651256948 ;\n",
+      "Epoch 40/1000, Cost: 6.1370\n",
+      " and the parameters are [-0.97208264  1.64260526] -1.7257170936295163 ;\n",
+      "Epoch 40/1000, Cost: 7.0236\n",
+      " and the parameters are [-0.97211287  1.64280965] -1.7257643018397586 ;\n",
+      "Epoch 40/1000, Cost: 7.0469\n",
+      " and the parameters are [-0.97217075  1.64294172] -1.7258549594876682 ;\n",
+      "Epoch 40/1000, Cost: 7.7980\n",
+      " and the parameters are [-0.97228742  1.64307532] -1.7259203302472395 ;\n",
+      "Epoch 40/1000, Cost: 9.9063\n",
+      " and the parameters are [-0.97218671  1.64322693] -1.72607191064809 ;\n",
+      "Epoch 40/1000, Cost: 9.3237\n",
+      " and the parameters are [-0.97232465  1.64335273] -1.726158252341213 ;\n",
+      "Epoch 40/1000, Cost: 11.2663\n",
+      " and the parameters are [-0.97235776  1.64344046] -1.7262565500899139 ;\n",
+      "Epoch 40/1000, Cost: 8.9032\n",
+      " and the parameters are [-0.97241235  1.64350612] -1.7264212213343288 ;\n",
+      "Epoch 40/1000, Cost: 11.8035\n",
+      " and the parameters are [-0.97261182  1.6433964 ] -1.7266110990562267 ;\n",
+      "Epoch 40/1000, Cost: 7.4544\n",
+      " and the parameters are [-0.97269842  1.64360209] -1.7266335105265693 ;\n",
+      "Epoch 40/1000, Cost: 8.9331\n",
+      " and the parameters are [-0.97278381  1.64369638] -1.7267679345715001 ;\n",
+      "Epoch 40/1000, Cost: 8.2654\n",
+      " and the parameters are [-0.97283823  1.6437303 ] -1.7269596393210946 ;\n",
+      "Epoch 40/1000, Cost: 9.2740\n",
+      " and the parameters are [-0.97298025  1.64359591] -1.727203169629423 ;\n",
+      "Epoch 40/1000, Cost: 7.5901\n",
+      " and the parameters are [-0.97302973  1.64368796] -1.7273164171188684 ;\n",
+      "Epoch 40/1000, Cost: 9.7041\n",
+      " and the parameters are [-0.97305746  1.64387414] -1.7274157581552696 ;\n",
+      "Epoch 40/1000, Cost: 7.9679\n",
+      " and the parameters are [-0.97306554  1.64418072] -1.7273742973159185 ;\n",
+      "Epoch 40/1000, Cost: 7.8091\n",
+      " and the parameters are [-0.97304831  1.64431344] -1.727483932903559 ;\n",
+      "Epoch 40/1000, Cost: 5.9853\n",
+      " and the parameters are [-0.97308185  1.64457753] -1.7274779243110285 ;\n",
+      "Epoch 40/1000, Cost: 6.3212\n",
+      " and the parameters are [-0.9730005   1.64482543] -1.7275463094594026 ;\n",
+      "Epoch 40/1000, Cost: 8.0902\n",
+      " and the parameters are [-0.97294823  1.64497257] -1.7276833322755865 ;\n",
+      "Epoch 40/1000, Cost: 9.2226\n",
+      " and the parameters are [-0.97310395  1.64503449] -1.7277688546195538 ;\n",
+      "Epoch 40/1000, Cost: 9.3625\n",
+      " and the parameters are [-0.97329992  1.64501525] -1.7279437886880178 ;\n",
+      "Epoch 40/1000, Cost: 9.4870\n",
+      " and the parameters are [-0.97329882  1.64517996] -1.7280795040720256 ;\n",
+      "Epoch 40/1000, Cost: 9.1555\n",
+      " and the parameters are [-0.97332031  1.64526591] -1.728219511642971 ;\n",
+      "Epoch 40/1000, Cost: 7.5026\n",
+      " and the parameters are [-0.9733591   1.64542771] -1.7282958267202817 ;\n",
+      "Epoch 40/1000, Cost: 8.1091\n",
+      " and the parameters are [-0.97339429  1.64555731] -1.728430079257555 ;\n",
+      "Epoch 40/1000, Cost: 9.7234\n",
+      " and the parameters are [-0.97344658  1.64563366] -1.7285919248391584 ;\n",
+      "Epoch 40/1000, Cost: 8.3715\n",
+      " and the parameters are [-0.97348495  1.6456063 ] -1.728796336389164 ;\n",
+      "Epoch 40/1000, Cost: 7.3824\n",
+      " and the parameters are [-0.97357236  1.64579204] -1.7287877057742203 ;\n",
+      "Epoch 40/1000, Cost: 7.1871\n",
+      " and the parameters are [-0.97366578  1.64593692] -1.7288734312824743 ;\n",
+      "Epoch 40/1000, Cost: 7.4356\n",
+      " and the parameters are [-0.97370732  1.64605017] -1.7289696517956639 ;\n",
+      "Epoch 40/1000, Cost: 8.5862\n",
+      " and the parameters are [-0.97368276  1.64618841] -1.7290738346946013 ;\n",
+      "Epoch 40/1000, Cost: 8.6645\n",
+      " and the parameters are [-0.97372805  1.64625363] -1.7292278464617197 ;\n",
+      "Epoch 40/1000, Cost: 9.6424\n",
+      " and the parameters are [-0.97387763  1.64633463] -1.7293042046368843 ;\n",
+      "Epoch 40/1000, Cost: 9.2894\n",
+      " and the parameters are [-0.97400982  1.64636001] -1.729460792965706 ;\n",
+      "Epoch 40/1000, Cost: 7.9290\n",
+      " and the parameters are [-0.97409727  1.64644964] -1.7296096010510271 ;\n",
+      "Epoch 40/1000, Cost: 6.5038\n",
+      " and the parameters are [-0.97424668  1.64653972] -1.7296789879403083 ;\n",
+      "Epoch 40/1000, Cost: 9.9310\n",
+      " and the parameters are [-0.97447432  1.6465062 ] -1.7297846762214215 ;\n",
+      "Epoch 40/1000, Cost: 7.3956\n",
+      " and the parameters are [-0.97452416  1.64656875] -1.7299550095950746 ;\n",
+      "Epoch 40/1000, Cost: 8.9410\n",
+      " and the parameters are [-0.97463307  1.64660053] -1.7300820745242929 ;\n",
+      "Epoch 40/1000, Cost: 10.9646\n",
+      " and the parameters are [-0.97473036  1.64660719] -1.730250408229024 ;\n",
+      "Epoch 40/1000, Cost: 8.1520\n",
+      " and the parameters are [-0.97473418  1.64669136] -1.730408287654084 ;\n",
+      "Epoch 40/1000, Cost: 12.1972\n",
+      " and the parameters are [-0.97484179  1.64668125] -1.7306029592929 ;\n",
+      "Epoch 40/1000, Cost: 10.5264\n",
+      " and the parameters are [-0.97505933  1.64664909] -1.7307804227041792 ;\n",
+      "Epoch 40/1000, Cost: 12.1002\n",
+      " and the parameters are [-0.97525357  1.64655858] -1.7309433300091246 ;\n",
+      "Epoch 40/1000, Cost: 11.1217\n",
+      " and the parameters are [-0.9754406   1.64652957] -1.731095269643504 ;\n",
+      "Epoch 40/1000, Cost: 7.0428\n",
+      " and the parameters are [-0.97563447  1.64655209] -1.73122832880158 ;\n",
+      "Epoch 40/1000, Cost: 8.9236\n",
+      " and the parameters are [-0.97574014  1.64655666] -1.731399538492891 ;\n",
+      "Epoch 40/1000, Cost: 8.5137\n",
+      " and the parameters are [-0.97574369  1.64664344] -1.7315741047584658 ;\n",
+      "Epoch 40/1000, Cost: 8.5297\n",
+      " and the parameters are [-0.97588962  1.64654002] -1.731751212964691 ;\n",
+      "Epoch 40/1000, Cost: 7.5267\n",
+      " and the parameters are [-0.97594448  1.64668277] -1.7318564352839123 ;\n",
+      "Epoch 40/1000, Cost: 9.0927\n",
+      " and the parameters are [-0.97592715  1.646778  ] -1.7320419513901761 ;\n",
+      "Epoch 40/1000, Cost: 8.2404\n",
+      " and the parameters are [-0.97607977  1.64680167] -1.7321873732302264 ;\n",
+      "Epoch 40/1000, Cost: 7.0936\n",
+      " and the parameters are [-0.97618218  1.6470412 ] -1.7321724119672088 ;\n",
+      "Epoch 40/1000, Cost: 9.2259\n",
+      " and the parameters are [-0.97629003  1.6470476 ] -1.7323455681856628 ;\n",
+      "Epoch 40/1000, Cost: 7.5205\n",
+      " and the parameters are [-0.97635045  1.64714664] -1.7324554271559813 ;\n",
+      "Epoch 40/1000, Cost: 9.9744\n",
+      " and the parameters are [-0.97645434  1.64736898] -1.7324602113287613 ;\n",
+      "Epoch 40/1000, Cost: 7.9387\n",
+      " and the parameters are [-0.97651595  1.64752222] -1.7325635180515162 ;\n",
+      "Epoch 40/1000, Cost: 9.0239\n",
+      " and the parameters are [-0.97661313  1.64761313] -1.7326674189974798 ;\n",
+      "Epoch 40/1000, Cost: 7.9258\n",
+      " and the parameters are [-0.9766891   1.64780626] -1.7327227985634992 ;\n",
+      "Epoch 40/1000, Cost: 10.1455\n",
+      " and the parameters are [-0.97672412  1.64789565] -1.7328321650120655 ;\n",
+      "Epoch 40/1000, Cost: 8.7439\n",
+      " and the parameters are [-0.97686934  1.64807413] -1.732855016761346 ;\n",
+      "Epoch 40/1000, Cost: 10.7581\n",
+      " and the parameters are [-0.97703109  1.64796813] -1.7330969886304628 ;\n",
+      "Epoch 40/1000, Cost: 6.4973\n",
+      " and the parameters are [-0.97696998  1.64815789] -1.7332189729018 ;\n",
+      "Epoch 40/1000, Cost: 8.5097\n",
+      " and the parameters are [-0.97695117  1.64820051] -1.7334283146339449 ;\n",
+      "Epoch 40/1000, Cost: 8.6913\n",
+      " and the parameters are [-0.97700965  1.64824113] -1.7335937726680306 ;\n",
+      "Epoch 40/1000, Cost: 9.4096\n",
+      " and the parameters are [-0.97714197  1.64814134] -1.733828942461093 ;\n",
+      "Epoch 40/1000, Cost: 12.0833\n",
+      " and the parameters are [-0.97745279  1.6479158 ] -1.7340743484739287 ;\n",
+      "Epoch 40/1000, Cost: 8.9210\n",
+      " and the parameters are [-0.97751924  1.64789982] -1.734275870790989 ;\n",
+      "Epoch 40/1000, Cost: 9.0686\n",
+      " and the parameters are [-0.9775315  1.6480037] -1.734397099870568 ;\n",
+      "Epoch 40/1000, Cost: 10.6088\n",
+      " and the parameters are [-0.97760373  1.64805134] -1.7345296380553852 ;\n",
+      "Epoch 40/1000, Cost: 6.8946\n",
+      " and the parameters are [-0.97756365  1.64823734] -1.7346287532597005 ;\n",
+      "Epoch 40/1000, Cost: 7.1848\n",
+      " and the parameters are [-0.97762164  1.64834649] -1.734722812240956 ;\n",
+      "Epoch 40/1000, Cost: 9.2774\n",
+      " and the parameters are [-0.97772226  1.64838855] -1.7348791975349482 ;\n",
+      "Epoch 40/1000, Cost: 11.0661\n",
+      " and the parameters are [-0.97788734  1.6482964 ] -1.73508738878803 ;\n",
+      "Epoch 40/1000, Cost: 6.6881\n",
+      " and the parameters are [-0.97794132  1.64845216] -1.7352039271359128 ;\n",
+      "Epoch 40/1000, Cost: 5.9407\n",
+      " and the parameters are [-0.9780318   1.64864241] -1.7352364307999215 ;\n",
+      "Epoch 40/1000, Cost: 6.8431\n",
+      " and the parameters are [-0.97799208  1.64889966] -1.7352653782813472 ;\n",
+      "Epoch 40/1000, Cost: 7.5918\n",
+      " and the parameters are [-0.97807989  1.6490483 ] -1.7353208047609179 ;\n",
+      "Epoch 40/1000, Cost: 10.0482\n",
+      " and the parameters are [-0.97819227  1.64895679] -1.7355568275418483 ;\n",
+      "Epoch 40/1000, Cost: 8.2878\n",
+      " and the parameters are [-0.97834937  1.64910641] -1.735616031086664 ;\n",
+      "Epoch 40/1000, Cost: 9.3232\n",
+      " and the parameters are [-0.97848012  1.64914409] -1.73574930057345 ;\n",
+      "Epoch 40/1000, Cost: 11.4875\n",
+      " and the parameters are [-0.97868285  1.64892841] -1.736035584323498 ;\n",
+      "Epoch 40/1000, Cost: 10.5171\n",
+      " and the parameters are [-0.97874284  1.64901157] -1.7361267067566495 ;\n",
+      "Epoch 40/1000, Cost: 7.7832\n",
+      " and the parameters are [-0.97878357  1.64904681] -1.7363059323972143 ;\n",
+      "Epoch 40/1000, Cost: 8.1275\n",
+      " and the parameters are [-0.97885732  1.64919338] -1.7363924652922873 ;\n",
+      "Epoch 40/1000, Cost: 8.8411\n",
+      " and the parameters are [-0.97889261  1.64931505] -1.7365169723543799 ;\n",
+      "Epoch 40/1000, Cost: 10.3117\n",
+      " and the parameters are [-0.97900248  1.64922553] -1.7367239353636719 ;\n",
+      "Epoch 40/1000, Cost: 9.5798\n",
+      " and the parameters are [-0.97910521  1.6492049 ] -1.7369205010896338 ;\n",
+      "Epoch 40/1000, Cost: 7.5162\n",
+      " and the parameters are [-0.97909531  1.64928119] -1.7370684620812726 ;\n",
+      "Epoch 40/1000, Cost: 10.2284\n",
+      " and the parameters are [-0.97927748  1.64934041] -1.7371385857708908 ;\n",
+      "Epoch 40/1000, Cost: 9.6073\n",
+      " and the parameters are [-0.97937456  1.6493178 ] -1.7373251591905352 ;\n",
+      "Epoch 40/1000, Cost: 7.3504\n",
+      " and the parameters are [-0.97941303  1.64947131] -1.7374206225872824 ;\n",
+      "Epoch 40/1000, Cost: 6.9615\n",
+      " and the parameters are [-0.97943655  1.64959514] -1.7375471502361328 ;\n",
+      "Epoch 40/1000, Cost: 7.8200\n",
+      " and the parameters are [-0.97946873  1.64979672] -1.7375702399687376 ;\n",
+      "Epoch 40/1000, Cost: 10.5755\n",
+      " and the parameters are [-0.97963912  1.64978662] -1.7377112452444523 ;\n",
+      "Epoch 40/1000, Cost: 10.2343\n",
+      " and the parameters are [-0.97966027  1.64983915] -1.7378519969956734 ;\n",
+      "Epoch 40/1000, Cost: 9.2259\n",
+      " and the parameters are [-0.9798556   1.64980178] -1.7380193064015397 ;\n",
+      "Epoch 40/1000, Cost: 10.3726\n",
+      " and the parameters are [-0.9798667   1.64987913] -1.7381513165268707 ;\n",
+      "Epoch 40/1000, Cost: 10.3511\n",
+      " and the parameters are [-0.97990584  1.64986056] -1.7383459979587221 ;\n",
+      "Epoch 40/1000, Cost: 8.9315\n",
+      " and the parameters are [-0.97987947  1.64987307] -1.7385526553687347 ;\n",
+      "Epoch 40/1000, Cost: 8.9394\n",
+      " and the parameters are [-0.97994525  1.64993851] -1.7387123259019124 ;\n",
+      "Epoch 40/1000, Cost: 12.5916\n",
+      " and the parameters are [-0.98015849  1.64982916] -1.7388881036131512 ;\n",
+      "Epoch 40/1000, Cost: 9.1806\n",
+      " and the parameters are [-0.98014975  1.65002663] -1.7389705344708224 ;\n",
+      "Epoch 40/1000, Cost: 7.5071\n",
+      " and the parameters are [-0.98017799  1.65023431] -1.739012497411568 ;\n",
+      "Epoch 40/1000, Cost: 6.5341\n",
+      " and the parameters are [-0.98021314  1.65039538] -1.7390738539897908 ;\n",
+      "Epoch 40/1000, Cost: 6.9410\n",
+      " and the parameters are [-0.98015185  1.65049905] -1.739252695562444 ;\n",
+      "Epoch 40/1000, Cost: 10.1359\n",
+      " and the parameters are [-0.98017733  1.65045753] -1.7394996054619738 ;\n",
+      "Epoch 40/1000, Cost: 7.9435\n",
+      " and the parameters are [-0.9803461   1.65050814] -1.7395863095814748 ;\n",
+      "Epoch 40/1000, Cost: 9.9759\n",
+      " and the parameters are [-0.98039371  1.6505731 ] -1.739718353766412 ;\n",
+      "Epoch 50/1000, Cost: 8.3349\n",
+      " and the parameters are [-1.09987358  1.78166194] -1.9489107989452614 ;\n",
+      "Epoch 50/1000, Cost: 10.2433\n",
+      " and the parameters are [-1.09993432  1.78155706] -1.9490844290141454 ;\n",
+      "Epoch 50/1000, Cost: 7.2815\n",
+      " and the parameters are [-1.09998852  1.78166835] -1.9491650136254561 ;\n",
+      "Epoch 50/1000, Cost: 6.4349\n",
+      " and the parameters are [-1.09998054  1.78182372] -1.9492174429259408 ;\n",
+      "Epoch 50/1000, Cost: 6.8817\n",
+      " and the parameters are [-1.1001413   1.78185579] -1.9493033957561328 ;\n",
+      "Epoch 50/1000, Cost: 10.8105\n",
+      " and the parameters are [-1.10027578  1.78170358] -1.9495347309760593 ;\n",
+      "Epoch 50/1000, Cost: 9.0615\n",
+      " and the parameters are [-1.10027914  1.78176143] -1.9496826451000848 ;\n",
+      "Epoch 50/1000, Cost: 11.4410\n",
+      " and the parameters are [-1.10050909  1.78153097] -1.9499321207795048 ;\n",
+      "Epoch 50/1000, Cost: 6.3500\n",
+      " and the parameters are [-1.10057231  1.78171507] -1.9499503686935196 ;\n",
+      "Epoch 50/1000, Cost: 6.7958\n",
+      " and the parameters are [-1.10058312  1.7818073 ] -1.9500868174887616 ;\n",
+      "Epoch 50/1000, Cost: 10.0374\n",
+      " and the parameters are [-1.10058867  1.78178522] -1.9503030834559127 ;\n",
+      "Epoch 50/1000, Cost: 8.8697\n",
+      " and the parameters are [-1.10066573  1.78171564] -1.9505330736366553 ;\n",
+      "Epoch 50/1000, Cost: 7.4979\n",
+      " and the parameters are [-1.10085499  1.78172388] -1.9506238172592847 ;\n",
+      "Epoch 50/1000, Cost: 6.6230\n",
+      " and the parameters are [-1.1008755   1.78184411] -1.9507145713426457 ;\n",
+      "Epoch 50/1000, Cost: 8.1261\n",
+      " and the parameters are [-1.10099368  1.78185484] -1.9508498677177264 ;\n",
+      "Epoch 50/1000, Cost: 8.6115\n",
+      " and the parameters are [-1.10108878  1.78192835] -1.9509373048229872 ;\n",
+      "Epoch 50/1000, Cost: 6.5035\n",
+      " and the parameters are [-1.100997    1.78210041] -1.9510343220190105 ;\n",
+      "Epoch 50/1000, Cost: 5.3527\n",
+      " and the parameters are [-1.10105479  1.78227072] -1.9510443921219447 ;\n",
+      "Epoch 50/1000, Cost: 9.5830\n",
+      " and the parameters are [-1.10125325  1.78215555] -1.951214697993049 ;\n",
+      "Epoch 50/1000, Cost: 8.7679\n",
+      " and the parameters are [-1.10131092  1.78213541] -1.9513818361862805 ;\n",
+      "Epoch 50/1000, Cost: 7.1505\n",
+      " and the parameters are [-1.10146163  1.78217956] -1.951491793802593 ;\n",
+      "Epoch 50/1000, Cost: 6.9003\n",
+      " and the parameters are [-1.10145028  1.78242163] -1.9515124148282086 ;\n",
+      "Epoch 50/1000, Cost: 9.5190\n",
+      " and the parameters are [-1.10142075  1.7825089 ] -1.9516176309777236 ;\n",
+      "Epoch 50/1000, Cost: 6.6475\n",
+      " and the parameters are [-1.10141005  1.78278952] -1.9515823347660435 ;\n",
+      "Epoch 50/1000, Cost: 7.8767\n",
+      " and the parameters are [-1.10152915  1.78303719] -1.9515135677286186 ;\n",
+      "Epoch 50/1000, Cost: 6.9366\n",
+      " and the parameters are [-1.10158763  1.7831097 ] -1.9515992426325461 ;\n",
+      "Epoch 50/1000, Cost: 9.8375\n",
+      " and the parameters are [-1.10174886  1.78313827] -1.9516599731319815 ;\n",
+      "Epoch 50/1000, Cost: 7.9464\n",
+      " and the parameters are [-1.10190318  1.78319002] -1.951710094899763 ;\n",
+      "Epoch 50/1000, Cost: 6.3791\n",
+      " and the parameters are [-1.1019256   1.78321771] -1.9519024920957482 ;\n",
+      "Epoch 50/1000, Cost: 6.2878\n",
+      " and the parameters are [-1.10191289  1.78338352] -1.9519782650147814 ;\n",
+      "Epoch 50/1000, Cost: 7.0652\n",
+      " and the parameters are [-1.10193258  1.78352524] -1.952058480017407 ;\n",
+      "Epoch 50/1000, Cost: 6.8779\n",
+      " and the parameters are [-1.10201381  1.7835483 ] -1.9521909692942192 ;\n",
+      "Epoch 50/1000, Cost: 6.4921\n",
+      " and the parameters are [-1.10203511  1.78365749] -1.9522968362701563 ;\n",
+      "Epoch 50/1000, Cost: 10.7845\n",
+      " and the parameters are [-1.10214809  1.78373742] -1.95234315312677 ;\n",
+      "Epoch 50/1000, Cost: 5.3029\n",
+      " and the parameters are [-1.10217128  1.78380821] -1.9524668657445698 ;\n",
+      "Epoch 50/1000, Cost: 9.1289\n",
+      " and the parameters are [-1.10221436  1.78380353] -1.9526651945015796 ;\n",
+      "Epoch 50/1000, Cost: 5.7245\n",
+      " and the parameters are [-1.1022154   1.78399517] -1.95270396096308 ;\n",
+      "Epoch 50/1000, Cost: 9.0206\n",
+      " and the parameters are [-1.10222031  1.784092  ] -1.9528224996986359 ;\n",
+      "Epoch 50/1000, Cost: 7.9572\n",
+      " and the parameters are [-1.10233341  1.78419344] -1.9528823489752336 ;\n",
+      "Epoch 50/1000, Cost: 10.7718\n",
+      " and the parameters are [-1.10246426  1.78410604] -1.953046928155791 ;\n",
+      "Epoch 50/1000, Cost: 8.4868\n",
+      " and the parameters are [-1.10253567  1.78407122] -1.9532261433136346 ;\n",
+      "Epoch 50/1000, Cost: 9.4230\n",
+      " and the parameters are [-1.10261226  1.78406263] -1.9534169558224417 ;\n",
+      "Epoch 50/1000, Cost: 7.0503\n",
+      " and the parameters are [-1.10270576  1.78412761] -1.9535170679343565 ;\n",
+      "Epoch 50/1000, Cost: 7.3295\n",
+      " and the parameters are [-1.10271172  1.78416669] -1.9536655575392299 ;\n",
+      "Epoch 50/1000, Cost: 4.4599\n",
+      " and the parameters are [-1.10266472  1.78440962] -1.9536842753578523 ;\n",
+      "Epoch 50/1000, Cost: 5.7232\n",
+      " and the parameters are [-1.10276864  1.7845368 ] -1.953699571717264 ;\n",
+      "Epoch 50/1000, Cost: 5.7021\n",
+      " and the parameters are [-1.10276733  1.78478289] -1.953717049677812 ;\n",
+      "Epoch 50/1000, Cost: 6.0719\n",
+      " and the parameters are [-1.10280248  1.78500122] -1.9537376279961773 ;\n",
+      "Epoch 50/1000, Cost: 9.3608\n",
+      " and the parameters are [-1.10291852  1.78497748] -1.9538981358326901 ;\n",
+      "Epoch 50/1000, Cost: 8.0518\n",
+      " and the parameters are [-1.1029744   1.78503159] -1.9540454032559598 ;\n",
+      "Epoch 50/1000, Cost: 8.6177\n",
+      " and the parameters are [-1.10297925  1.78525652] -1.954019122630149 ;\n",
+      "Epoch 50/1000, Cost: 8.2235\n",
+      " and the parameters are [-1.10315004  1.78512734] -1.954217088682294 ;\n",
+      "Epoch 50/1000, Cost: 8.8339\n",
+      " and the parameters are [-1.10318983  1.78512182] -1.9543920135671156 ;\n",
+      "Epoch 50/1000, Cost: 9.6045\n",
+      " and the parameters are [-1.10337084  1.78509781] -1.9545239901600786 ;\n",
+      "Epoch 50/1000, Cost: 6.7127\n",
+      " and the parameters are [-1.10340584  1.78518218] -1.9546242469786916 ;\n",
+      "Epoch 50/1000, Cost: 10.7035\n",
+      " and the parameters are [-1.10360805  1.78513264] -1.954744116816802 ;\n",
+      "Epoch 50/1000, Cost: 7.4597\n",
+      " and the parameters are [-1.1037271   1.78513215] -1.9548927410230392 ;\n",
+      "Epoch 50/1000, Cost: 8.3251\n",
+      " and the parameters are [-1.10376919  1.78517791] -1.955040308903609 ;\n",
+      "Epoch 50/1000, Cost: 10.2795\n",
+      " and the parameters are [-1.10381241  1.78518042] -1.955201971678232 ;\n",
+      "Epoch 50/1000, Cost: 6.1433\n",
+      " and the parameters are [-1.10378982  1.78531562] -1.9552990698089283 ;\n",
+      "Epoch 50/1000, Cost: 7.8377\n",
+      " and the parameters are [-1.10379453  1.78536562] -1.9554449287972628 ;\n",
+      "Epoch 50/1000, Cost: 7.2220\n",
+      " and the parameters are [-1.10375693  1.78560425] -1.9554674624300343 ;\n",
+      "Epoch 50/1000, Cost: 6.8890\n",
+      " and the parameters are [-1.10390133  1.7857275 ] -1.9555137415029726 ;\n",
+      "Epoch 50/1000, Cost: 7.5193\n",
+      " and the parameters are [-1.10387721  1.78591459] -1.9555711955106294 ;\n",
+      "Epoch 50/1000, Cost: 7.2857\n",
+      " and the parameters are [-1.10396734  1.78591528] -1.9556700339228086 ;\n",
+      "Epoch 50/1000, Cost: 5.8503\n",
+      " and the parameters are [-1.10403642  1.78590732] -1.9558123939365193 ;\n",
+      "Epoch 50/1000, Cost: 8.7431\n",
+      " and the parameters are [-1.10411872  1.78595425] -1.9558896770745786 ;\n",
+      "Epoch 50/1000, Cost: 7.6823\n",
+      " and the parameters are [-1.10429833  1.78601776] -1.9559190378045732 ;\n",
+      "Epoch 50/1000, Cost: 8.1900\n",
+      " and the parameters are [-1.10432592  1.78606602] -1.9560819372310518 ;\n",
+      "Epoch 50/1000, Cost: 9.2704\n",
+      " and the parameters are [-1.10439225  1.78614568] -1.9561632631695998 ;\n",
+      "Epoch 50/1000, Cost: 6.2845\n",
+      " and the parameters are [-1.10439823  1.78624055] -1.9562708103056754 ;\n",
+      "Epoch 50/1000, Cost: 7.2819\n",
+      " and the parameters are [-1.1044184   1.78631722] -1.9564087007726445 ;\n",
+      "Epoch 50/1000, Cost: 8.1879\n",
+      " and the parameters are [-1.10444585  1.78643334] -1.9565429384787913 ;\n",
+      "Epoch 50/1000, Cost: 6.4859\n",
+      " and the parameters are [-1.10450053  1.78660252] -1.956575398646312 ;\n",
+      "Epoch 50/1000, Cost: 6.8083\n",
+      " and the parameters are [-1.10454254  1.78670452] -1.9566829282452276 ;\n",
+      "Epoch 50/1000, Cost: 8.6089\n",
+      " and the parameters are [-1.10467212  1.78675167] -1.9568001342956591 ;\n",
+      "Epoch 50/1000, Cost: 9.5548\n",
+      " and the parameters are [-1.10485545  1.7865426 ] -1.9570391195085202 ;\n",
+      "Epoch 50/1000, Cost: 7.8523\n",
+      " and the parameters are [-1.10487068  1.78649071] -1.9572866435579919 ;\n",
+      "Epoch 50/1000, Cost: 8.0619\n",
+      " and the parameters are [-1.10483483  1.78666259] -1.9573688576431305 ;\n",
+      "Epoch 50/1000, Cost: 7.4592\n",
+      " and the parameters are [-1.10486574  1.78680013] -1.9574406072661985 ;\n",
+      "Epoch 50/1000, Cost: 7.3724\n",
+      " and the parameters are [-1.1049132   1.78693355] -1.9574191690551748 ;\n",
+      "Epoch 50/1000, Cost: 7.5185\n",
+      " and the parameters are [-1.1050774   1.78701442] -1.9574676073491353 ;\n",
+      "Epoch 50/1000, Cost: 4.4136\n",
+      " and the parameters are [-1.10506765  1.78718025] -1.957522162363649 ;\n",
+      "Epoch 50/1000, Cost: 8.0035\n",
+      " and the parameters are [-1.10508317  1.78722771] -1.9576940406394248 ;\n",
+      "Epoch 50/1000, Cost: 7.8705\n",
+      " and the parameters are [-1.10524567  1.78723334] -1.9578014939446056 ;\n",
+      "Epoch 50/1000, Cost: 6.8029\n",
+      " and the parameters are [-1.10525192  1.78734934] -1.9579084599682206 ;\n",
+      "Epoch 50/1000, Cost: 8.0179\n",
+      " and the parameters are [-1.10531652  1.78755798] -1.9578861483120287 ;\n",
+      "Epoch 50/1000, Cost: 7.2228\n",
+      " and the parameters are [-1.10542093  1.78757856] -1.9579949588140426 ;\n",
+      "Epoch 50/1000, Cost: 5.1188\n",
+      " and the parameters are [-1.10538952  1.7877867 ] -1.958023906908747 ;\n",
+      "Epoch 50/1000, Cost: 10.1871\n",
+      " and the parameters are [-1.10551978  1.78786096] -1.9580802830192015 ;\n",
+      "Epoch 50/1000, Cost: 5.9816\n",
+      " and the parameters are [-1.10551038  1.78807634] -1.9581041474408545 ;\n",
+      "Epoch 50/1000, Cost: 9.0915\n",
+      " and the parameters are [-1.10561899  1.78807043] -1.9582802492648426 ;\n",
+      "Epoch 50/1000, Cost: 7.3309\n",
+      " and the parameters are [-1.10568923  1.78820386] -1.9583033673406154 ;\n",
+      "Epoch 50/1000, Cost: 11.0969\n",
+      " and the parameters are [-1.10593417  1.78809326] -1.9584651253522187 ;\n",
+      "Epoch 50/1000, Cost: 7.1537\n",
+      " and the parameters are [-1.10599084  1.78830888] -1.9584676233450005 ;\n",
+      "Epoch 50/1000, Cost: 8.3593\n",
+      " and the parameters are [-1.10607261  1.78835279] -1.9585983813116206 ;\n",
+      "Epoch 50/1000, Cost: 7.0931\n",
+      " and the parameters are [-1.10613858  1.78837835] -1.9587456193403727 ;\n",
+      "Epoch 50/1000, Cost: 8.8263\n",
+      " and the parameters are [-1.10612786  1.78851903] -1.9588135632871664 ;\n",
+      "Epoch 50/1000, Cost: 6.1255\n",
+      " and the parameters are [-1.10620614  1.78864377] -1.9588665557802392 ;\n",
+      "Epoch 50/1000, Cost: 6.5021\n",
+      " and the parameters are [-1.10621691  1.78873639] -1.9589883277425642 ;\n",
+      "Epoch 50/1000, Cost: 6.8804\n",
+      " and the parameters are [-1.10630801  1.78877952] -1.9591127082264153 ;\n",
+      "Epoch 50/1000, Cost: 12.8941\n",
+      " and the parameters are [-1.10635014  1.78862806] -1.9594043838544497 ;\n",
+      "Epoch 50/1000, Cost: 8.0494\n",
+      " and the parameters are [-1.10647112  1.78856844] -1.9595658944476688 ;\n",
+      "Epoch 50/1000, Cost: 8.3586\n",
+      " and the parameters are [-1.1065269   1.78858693] -1.959729829345452 ;\n",
+      "Epoch 50/1000, Cost: 8.2168\n",
+      " and the parameters are [-1.10673569  1.78849303] -1.959850488560084 ;\n",
+      "Epoch 50/1000, Cost: 7.8502\n",
+      " and the parameters are [-1.10684567  1.78854356] -1.9599481975415962 ;\n",
+      "Epoch 50/1000, Cost: 6.5748\n",
+      " and the parameters are [-1.10687014  1.7886984 ] -1.9600244023588447 ;\n",
+      "Epoch 50/1000, Cost: 8.3927\n",
+      " and the parameters are [-1.10697939  1.7888209 ] -1.9600616984987271 ;\n",
+      "Epoch 50/1000, Cost: 8.2070\n",
+      " and the parameters are [-1.10702981  1.78890582] -1.96014578601519 ;\n",
+      "Epoch 50/1000, Cost: 9.4343\n",
+      " and the parameters are [-1.10707242  1.78892257] -1.9602821907962114 ;\n",
+      "Epoch 50/1000, Cost: 10.0201\n",
+      " and the parameters are [-1.10723102  1.78892691] -1.9603526056071794 ;\n",
+      "Epoch 50/1000, Cost: 7.4803\n",
+      " and the parameters are [-1.1072978  1.788958 ] -1.9604649748902816 ;\n",
+      "Epoch 50/1000, Cost: 6.8205\n",
+      " and the parameters are [-1.1073631   1.78907117] -1.960528368141183 ;\n",
+      "Epoch 50/1000, Cost: 8.6450\n",
+      " and the parameters are [-1.10747583  1.78917668] -1.9605934514752654 ;\n",
+      "Epoch 50/1000, Cost: 6.0151\n",
+      " and the parameters are [-1.10753914  1.78927267] -1.9606851763788262 ;\n",
+      "Epoch 50/1000, Cost: 6.5231\n",
+      " and the parameters are [-1.10754072  1.78936471] -1.9608065218248587 ;\n",
+      "Epoch 50/1000, Cost: 8.8384\n",
+      " and the parameters are [-1.1075834   1.78934538] -1.961017536655416 ;\n",
+      "Epoch 50/1000, Cost: 7.7545\n",
+      " and the parameters are [-1.10752024  1.78945871] -1.9611684106678038 ;\n",
+      "Epoch 50/1000, Cost: 7.2886\n",
+      " and the parameters are [-1.10759514  1.78945343] -1.9613448856338038 ;\n",
+      "Epoch 50/1000, Cost: 7.9209\n",
+      " and the parameters are [-1.10767402  1.78961707] -1.9613537866458768 ;\n",
+      "Epoch 50/1000, Cost: 9.5246\n",
+      " and the parameters are [-1.1078177   1.78959883] -1.9614445109860754 ;\n",
+      "Epoch 50/1000, Cost: 10.9184\n",
+      " and the parameters are [-1.10798351  1.78948914] -1.9616502727344107 ;\n",
+      "Epoch 50/1000, Cost: 7.5029\n",
+      " and the parameters are [-1.10801649  1.78955812] -1.9617863639828768 ;\n",
+      "Epoch 50/1000, Cost: 8.6601\n",
+      " and the parameters are [-1.1080937   1.78967663] -1.9618782314428902 ;\n",
+      "Epoch 50/1000, Cost: 8.2099\n",
+      " and the parameters are [-1.10814166  1.78964227] -1.9620689975395673 ;\n",
+      "Epoch 50/1000, Cost: 8.9875\n",
+      " and the parameters are [-1.10806055  1.78979771] -1.962163100687515 ;\n",
+      "Epoch 50/1000, Cost: 9.0667\n",
+      " and the parameters are [-1.10819685  1.78963923] -1.9623847374434111 ;\n",
+      "Epoch 50/1000, Cost: 8.0780\n",
+      " and the parameters are [-1.10829304  1.7896879 ] -1.9624943281259752 ;\n",
+      "Epoch 50/1000, Cost: 7.1472\n",
+      " and the parameters are [-1.10825471  1.7898623 ] -1.9625809391698354 ;\n",
+      "Epoch 50/1000, Cost: 9.2239\n",
+      " and the parameters are [-1.10838446  1.78978271] -1.9627773835354347 ;\n",
+      "Epoch 50/1000, Cost: 8.6858\n",
+      " and the parameters are [-1.10853847  1.78975297] -1.962900374507179 ;\n",
+      "Epoch 50/1000, Cost: 5.9065\n",
+      " and the parameters are [-1.10852444  1.78996193] -1.9629069127774592 ;\n",
+      "Epoch 50/1000, Cost: 7.7402\n",
+      " and the parameters are [-1.10861097  1.79002476] -1.9630293090090731 ;\n",
+      "Epoch 50/1000, Cost: 5.8719\n",
+      " and the parameters are [-1.10866324  1.79011188] -1.9631238795377564 ;\n",
+      "Epoch 50/1000, Cost: 6.9633\n",
+      " and the parameters are [-1.10870699  1.79014564] -1.9631980569962366 ;\n",
+      "Epoch 50/1000, Cost: 7.9362\n",
+      " and the parameters are [-1.10876837  1.79031029] -1.96324754078699 ;\n",
+      "Epoch 50/1000, Cost: 8.9226\n",
+      " and the parameters are [-1.10880412  1.79051555] -1.9632328294233183 ;\n",
+      "Epoch 50/1000, Cost: 9.7546\n",
+      " and the parameters are [-1.10880241  1.79058022] -1.9633972181913462 ;\n",
+      "Epoch 50/1000, Cost: 9.1621\n",
+      " and the parameters are [-1.10874808  1.79075832] -1.9634701230741436 ;\n",
+      "Epoch 50/1000, Cost: 5.9554\n",
+      " and the parameters are [-1.10871424  1.7910038 ] -1.9634948000511545 ;\n",
+      "Epoch 50/1000, Cost: 8.0279\n",
+      " and the parameters are [-1.10888957  1.79092277] -1.963661734541925 ;\n",
+      "Epoch 50/1000, Cost: 8.4496\n",
+      " and the parameters are [-1.10901869  1.790981  ] -1.9637228769313915 ;\n",
+      "Epoch 50/1000, Cost: 7.5076\n",
+      " and the parameters are [-1.10894842  1.79112182] -1.9638500753866894 ;\n",
+      "Epoch 50/1000, Cost: 7.3128\n",
+      " and the parameters are [-1.10897708  1.7913518 ] -1.963875106343691 ;\n",
+      "Epoch 50/1000, Cost: 5.9082\n",
+      " and the parameters are [-1.10892261  1.79149532] -1.96398831948661 ;\n",
+      "Epoch 50/1000, Cost: 9.4937\n",
+      " and the parameters are [-1.10907435  1.7915297 ] -1.9640482201970069 ;\n",
+      "Epoch 50/1000, Cost: 8.6945\n",
+      " and the parameters are [-1.10913801  1.79154807] -1.9642153759535343 ;\n",
+      "Epoch 50/1000, Cost: 7.4462\n",
+      " and the parameters are [-1.10921662  1.79169526] -1.9642716056129927 ;\n",
+      "Epoch 50/1000, Cost: 8.4771\n",
+      " and the parameters are [-1.10929086  1.79170153] -1.9644261041218267 ;\n",
+      "Epoch 50/1000, Cost: 7.6822\n",
+      " and the parameters are [-1.10931752  1.79171363] -1.9646011713962976 ;\n",
+      "Epoch 50/1000, Cost: 6.1119\n",
+      " and the parameters are [-1.10927556  1.79182834] -1.9647444977795714 ;\n",
+      "Epoch 50/1000, Cost: 8.7982\n",
+      " and the parameters are [-1.1093671   1.79180942] -1.9648973420259355 ;\n",
+      "Epoch 50/1000, Cost: 10.2611\n",
+      " and the parameters are [-1.10940231  1.791815  ] -1.965060750850846 ;\n",
+      "Epoch 50/1000, Cost: 7.9687\n",
+      " and the parameters are [-1.1094567   1.79187442] -1.965182025354152 ;\n",
+      "Epoch 50/1000, Cost: 8.0270\n",
+      " and the parameters are [-1.10954006  1.79194951] -1.9652777205553422 ;\n",
+      "Epoch 50/1000, Cost: 11.4077\n",
+      " and the parameters are [-1.10953143  1.79190522] -1.9654933268293935 ;\n",
+      "Epoch 50/1000, Cost: 8.7313\n",
+      " and the parameters are [-1.10952177  1.79181614] -1.9657371805241597 ;\n",
+      "Epoch 50/1000, Cost: 8.2737\n",
+      " and the parameters are [-1.10954427  1.79181757] -1.9659658266025506 ;\n",
+      "Epoch 50/1000, Cost: 6.5049\n",
+      " and the parameters are [-1.10960279  1.79186347] -1.966090900183973 ;\n",
+      "Epoch 50/1000, Cost: 6.0597\n",
+      " and the parameters are [-1.10966627  1.79202831] -1.9661153367543174 ;\n",
+      "Epoch 50/1000, Cost: 6.0170\n",
+      " and the parameters are [-1.10971481  1.79210268] -1.9661954733831022 ;\n",
+      "Epoch 50/1000, Cost: 6.5293\n",
+      " and the parameters are [-1.10971203  1.79227622] -1.9662753105868191 ;\n",
+      "Epoch 50/1000, Cost: 7.7794\n",
+      " and the parameters are [-1.10982204  1.79233173] -1.9663440543905788 ;\n",
+      "Epoch 50/1000, Cost: 9.7874\n",
+      " and the parameters are [-1.10995945  1.79222193] -1.9665140730256565 ;\n",
+      "Epoch 50/1000, Cost: 10.1776\n",
+      " and the parameters are [-1.11002185  1.79223854] -1.9666154275190153 ;\n",
+      "Epoch 50/1000, Cost: 8.7606\n",
+      " and the parameters are [-1.1100755   1.79223009] -1.9667618519040428 ;\n",
+      "Epoch 50/1000, Cost: 7.8307\n",
+      " and the parameters are [-1.11008102  1.79242635] -1.9667759295847003 ;\n",
+      "Epoch 50/1000, Cost: 8.5208\n",
+      " and the parameters are [-1.11025147  1.79233544] -1.9669705112263298 ;\n",
+      "Epoch 50/1000, Cost: 7.5414\n",
+      " and the parameters are [-1.11041782  1.79221921] -1.9671580082724065 ;\n",
+      "Epoch 50/1000, Cost: 8.9990\n",
+      " and the parameters are [-1.11034436  1.79233981] -1.9672501843397918 ;\n",
+      "Epoch 50/1000, Cost: 6.3267\n",
+      " and the parameters are [-1.11043536  1.79241285] -1.9673411681242607 ;\n",
+      "Epoch 50/1000, Cost: 6.3658\n",
+      " and the parameters are [-1.11051199  1.7925459 ] -1.9674121195221161 ;\n",
+      "Epoch 50/1000, Cost: 7.6809\n",
+      " and the parameters are [-1.11062455  1.79269379] -1.9674175186323595 ;\n",
+      "Epoch 50/1000, Cost: 6.5241\n",
+      " and the parameters are [-1.1106638   1.79294181] -1.967400076845012 ;\n",
+      "Epoch 50/1000, Cost: 8.2007\n",
+      " and the parameters are [-1.11081268  1.79287186] -1.9675844539456304 ;\n",
+      "Epoch 50/1000, Cost: 8.1283\n",
+      " and the parameters are [-1.11091709  1.79286346] -1.9677508113692095 ;\n",
+      "Epoch 50/1000, Cost: 9.1573\n",
+      " and the parameters are [-1.11103596  1.79289425] -1.9678542934963938 ;\n",
+      "Epoch 50/1000, Cost: 7.7786\n",
+      " and the parameters are [-1.11088188  1.79303971] -1.9679792100141944 ;\n",
+      "Epoch 50/1000, Cost: 6.4660\n",
+      " and the parameters are [-1.11088844  1.79316083] -1.9680598545852532 ;\n",
+      "Epoch 50/1000, Cost: 8.8708\n",
+      " and the parameters are [-1.11097727  1.79322288] -1.968184836441909 ;\n",
+      "Epoch 50/1000, Cost: 7.3893\n",
+      " and the parameters are [-1.11101197  1.7934275 ] -1.968222750849966 ;\n",
+      "Epoch 50/1000, Cost: 8.9442\n",
+      " and the parameters are [-1.11101231  1.79343102] -1.9684600926025133 ;\n",
+      "Epoch 50/1000, Cost: 7.8671\n",
+      " and the parameters are [-1.11104944  1.79359455] -1.9684864003816698 ;\n",
+      "Epoch 50/1000, Cost: 7.3355\n",
+      " and the parameters are [-1.1110847   1.79374322] -1.968549721413113 ;\n",
+      "Epoch 50/1000, Cost: 11.2563\n",
+      " and the parameters are [-1.11113561  1.79357687] -1.9688668086792713 ;\n",
+      "Epoch 50/1000, Cost: 6.4630\n",
+      " and the parameters are [-1.11113741  1.79371708] -1.968940043955749 ;\n",
+      "Epoch 50/1000, Cost: 6.9688\n",
+      " and the parameters are [-1.11126045  1.79395519] -1.9688929042551986 ;\n",
+      "Epoch 50/1000, Cost: 8.3112\n",
+      " and the parameters are [-1.11135689  1.79385721] -1.9691332966744388 ;\n",
+      "Epoch 50/1000, Cost: 6.8866\n",
+      " and the parameters are [-1.1113956   1.79402779] -1.969180659766912 ;\n",
+      "Epoch 50/1000, Cost: 4.7668\n",
+      " and the parameters are [-1.1114555   1.79421296] -1.969202235567627 ;\n",
+      "Epoch 50/1000, Cost: 8.0606\n",
+      " and the parameters are [-1.11155638  1.79435444] -1.969216085583966 ;\n",
+      "Epoch 50/1000, Cost: 7.3414\n",
+      " and the parameters are [-1.11166865  1.79435526] -1.969343559995051 ;\n",
+      "Epoch 50/1000, Cost: 6.9834\n",
+      " and the parameters are [-1.1115717   1.79461086] -1.9693929264629664 ;\n",
+      "Epoch 50/1000, Cost: 7.8350\n",
+      " and the parameters are [-1.11161482  1.79486726] -1.9693592726653248 ;\n",
+      "Epoch 50/1000, Cost: 10.8321\n",
+      " and the parameters are [-1.111772    1.79473147] -1.9695524455179811 ;\n",
+      "Epoch 50/1000, Cost: 7.6378\n",
+      " and the parameters are [-1.1117556   1.79481795] -1.9697023786546026 ;\n",
+      "Epoch 50/1000, Cost: 6.1220\n",
+      " and the parameters are [-1.11177333  1.7949795 ] -1.9697858960460342 ;\n",
+      "Epoch 50/1000, Cost: 8.2350\n",
+      " and the parameters are [-1.11182859  1.79496892] -1.969933195535667 ;\n",
+      "Epoch 50/1000, Cost: 6.6754\n",
+      " and the parameters are [-1.11190595  1.79510127] -1.9699569699056254 ;\n",
+      "Epoch 50/1000, Cost: 8.1693\n",
+      " and the parameters are [-1.11184901  1.79529034] -1.97004202248901 ;\n",
+      "Epoch 60/1000, Cost: 9.8127\n",
+      " and the parameters are [-1.21322787  1.9085504 ] -2.1480712142591325 ;\n",
+      "Epoch 60/1000, Cost: 7.5030\n",
+      " and the parameters are [-1.21331917  1.90854771] -2.148191679519195 ;\n",
+      "Epoch 60/1000, Cost: 7.6824\n",
+      " and the parameters are [-1.21319834  1.90861524] -2.1483805167715873 ;\n",
+      "Epoch 60/1000, Cost: 8.6936\n",
+      " and the parameters are [-1.21331882  1.9085751 ] -2.148519501750133 ;\n",
+      "Epoch 60/1000, Cost: 7.2627\n",
+      " and the parameters are [-1.21337423  1.90868995] -2.1485702842557064 ;\n",
+      "Epoch 60/1000, Cost: 7.9219\n",
+      " and the parameters are [-1.21343675  1.90876251] -2.148649932463361 ;\n",
+      "Epoch 60/1000, Cost: 8.1070\n",
+      " and the parameters are [-1.21350534  1.9086632 ] -2.1488786111272966 ;\n",
+      "Epoch 60/1000, Cost: 7.0333\n",
+      " and the parameters are [-1.21350407  1.90870678] -2.148983838361447 ;\n",
+      "Epoch 60/1000, Cost: 8.2739\n",
+      " and the parameters are [-1.21357565  1.90860103] -2.149213470340059 ;\n",
+      "Epoch 60/1000, Cost: 6.2254\n",
+      " and the parameters are [-1.2136967   1.90859139] -2.1493315392000576 ;\n",
+      "Epoch 60/1000, Cost: 6.7064\n",
+      " and the parameters are [-1.21367586  1.90870081] -2.1494314840491735 ;\n",
+      "Epoch 60/1000, Cost: 6.7097\n",
+      " and the parameters are [-1.21374566  1.9087461 ] -2.149524654907696 ;\n",
+      "Epoch 60/1000, Cost: 7.0131\n",
+      " and the parameters are [-1.21380223  1.90889727] -2.1495656483438674 ;\n",
+      "Epoch 60/1000, Cost: 7.5159\n",
+      " and the parameters are [-1.2139264   1.90894011] -2.149616198764232 ;\n",
+      "Epoch 60/1000, Cost: 5.8816\n",
+      " and the parameters are [-1.21397685  1.9091001 ] -2.1496452431451165 ;\n",
+      "Epoch 60/1000, Cost: 7.9885\n",
+      " and the parameters are [-1.21413847  1.9090019 ] -2.149814773621599 ;\n",
+      "Epoch 60/1000, Cost: 7.7578\n",
+      " and the parameters are [-1.21414963  1.9090296 ] -2.149955988904498 ;\n",
+      "Epoch 60/1000, Cost: 4.5025\n",
+      " and the parameters are [-1.21416743  1.9091759 ] -2.150007035483546 ;\n",
+      "Epoch 60/1000, Cost: 7.3268\n",
+      " and the parameters are [-1.21412677  1.90942161] -2.149949430552241 ;\n",
+      "Epoch 60/1000, Cost: 6.8824\n",
+      " and the parameters are [-1.2141314   1.90948449] -2.150089433890958 ;\n",
+      "Epoch 60/1000, Cost: 7.7048\n",
+      " and the parameters are [-1.21416534  1.90947683] -2.1502530678222747 ;\n",
+      "Epoch 60/1000, Cost: 4.9887\n",
+      " and the parameters are [-1.21413964  1.90968274] -2.1502809688032967 ;\n",
+      "Epoch 60/1000, Cost: 7.5240\n",
+      " and the parameters are [-1.21422237  1.90975819] -2.1503503683316856 ;\n",
+      "Epoch 60/1000, Cost: 8.2663\n",
+      " and the parameters are [-1.21428301  1.90981457] -2.1504489101791964 ;\n",
+      "Epoch 60/1000, Cost: 8.0856\n",
+      " and the parameters are [-1.21434405  1.90973812] -2.1506202486722548 ;\n",
+      "Epoch 60/1000, Cost: 8.0552\n",
+      " and the parameters are [-1.2143712   1.90967812] -2.1508209524443003 ;\n",
+      "Epoch 60/1000, Cost: 6.0145\n",
+      " and the parameters are [-1.21442639  1.90984016] -2.1508084236250435 ;\n",
+      "Epoch 60/1000, Cost: 4.8422\n",
+      " and the parameters are [-1.21439842  1.90998076] -2.150848476983085 ;\n",
+      "Epoch 60/1000, Cost: 5.9621\n",
+      " and the parameters are [-1.21433835  1.91009251] -2.150948884018687 ;\n",
+      "Epoch 60/1000, Cost: 8.9832\n",
+      " and the parameters are [-1.21440857  1.91013011] -2.1510015591532645 ;\n",
+      "Epoch 60/1000, Cost: 7.9003\n",
+      " and the parameters are [-1.2144851  1.9102659] -2.151040060645274 ;\n",
+      "Epoch 60/1000, Cost: 7.1419\n",
+      " and the parameters are [-1.21458222  1.91023617] -2.1511589583013624 ;\n",
+      "Epoch 60/1000, Cost: 7.4112\n",
+      " and the parameters are [-1.21449837  1.91034003] -2.151308794618817 ;\n",
+      "Epoch 60/1000, Cost: 8.2813\n",
+      " and the parameters are [-1.21451495  1.91036512] -2.151436122510144 ;\n",
+      "Epoch 60/1000, Cost: 5.8198\n",
+      " and the parameters are [-1.21456338  1.91044754] -2.151519272538144 ;\n",
+      "Epoch 60/1000, Cost: 4.8380\n",
+      " and the parameters are [-1.21458491  1.91055332] -2.1515894865431853 ;\n",
+      "Epoch 60/1000, Cost: 7.2699\n",
+      " and the parameters are [-1.21459055  1.91059942] -2.151719953843489 ;\n",
+      "Epoch 60/1000, Cost: 7.5004\n",
+      " and the parameters are [-1.21461309  1.91068681] -2.1518344474906796 ;\n",
+      "Epoch 60/1000, Cost: 5.9274\n",
+      " and the parameters are [-1.21467216  1.91076802] -2.151906795715469 ;\n",
+      "Epoch 60/1000, Cost: 7.2682\n",
+      " and the parameters are [-1.21466204  1.91076646] -2.1520502890746185 ;\n",
+      "Epoch 60/1000, Cost: 6.2129\n",
+      " and the parameters are [-1.21483792  1.91083688] -2.152088768084189 ;\n",
+      "Epoch 60/1000, Cost: 6.7814\n",
+      " and the parameters are [-1.2149051   1.91085343] -2.1522060144369553 ;\n",
+      "Epoch 60/1000, Cost: 6.6049\n",
+      " and the parameters are [-1.2150163   1.91083791] -2.152318879769999 ;\n",
+      "Epoch 60/1000, Cost: 7.2149\n",
+      " and the parameters are [-1.21501332  1.91101113] -2.152354313075317 ;\n",
+      "Epoch 60/1000, Cost: 7.3491\n",
+      " and the parameters are [-1.21495279  1.91122364] -2.152379795969206 ;\n",
+      "Epoch 60/1000, Cost: 7.4581\n",
+      " and the parameters are [-1.21504524  1.91119982] -2.1525244644998236 ;\n",
+      "Epoch 60/1000, Cost: 5.2537\n",
+      " and the parameters are [-1.21506024  1.91132153] -2.1525893017807207 ;\n",
+      "Epoch 60/1000, Cost: 7.3566\n",
+      " and the parameters are [-1.2150599   1.91142784] -2.1526783099799554 ;\n",
+      "Epoch 60/1000, Cost: 7.7434\n",
+      " and the parameters are [-1.21509604  1.91153879] -2.152730802055403 ;\n",
+      "Epoch 60/1000, Cost: 7.1415\n",
+      " and the parameters are [-1.21518473  1.91157096] -2.1528419675147457 ;\n",
+      "Epoch 60/1000, Cost: 8.3052\n",
+      " and the parameters are [-1.21522949  1.9116977 ] -2.1528444210296724 ;\n",
+      "Epoch 60/1000, Cost: 5.1535\n",
+      " and the parameters are [-1.21526851  1.91182228] -2.152903821904025 ;\n",
+      "Epoch 60/1000, Cost: 6.2994\n",
+      " and the parameters are [-1.21532512  1.91188241] -2.1530090050734754 ;\n",
+      "Epoch 60/1000, Cost: 5.3538\n",
+      " and the parameters are [-1.21533886  1.9121391 ] -2.1529663685533635 ;\n",
+      "Epoch 60/1000, Cost: 6.9607\n",
+      " and the parameters are [-1.21532873  1.91232834] -2.153004009150469 ;\n",
+      "Epoch 60/1000, Cost: 7.8026\n",
+      " and the parameters are [-1.21529946  1.91249021] -2.1530701078430066 ;\n",
+      "Epoch 60/1000, Cost: 5.3482\n",
+      " and the parameters are [-1.21534154  1.91256995] -2.153155975752744 ;\n",
+      "Epoch 60/1000, Cost: 8.5424\n",
+      " and the parameters are [-1.215313    1.91278376] -2.153191735778827 ;\n",
+      "Epoch 60/1000, Cost: 5.5219\n",
+      " and the parameters are [-1.21530086  1.91300132] -2.1531885531104478 ;\n",
+      "Epoch 60/1000, Cost: 8.0039\n",
+      " and the parameters are [-1.21534486  1.91312902] -2.153251879814361 ;\n",
+      "Epoch 60/1000, Cost: 8.6481\n",
+      " and the parameters are [-1.21544575  1.91304584] -2.1534269151510657 ;\n",
+      "Epoch 60/1000, Cost: 6.6043\n",
+      " and the parameters are [-1.2154833   1.91310863] -2.153505779847808 ;\n",
+      "Epoch 60/1000, Cost: 6.4250\n",
+      " and the parameters are [-1.21557216  1.91317532] -2.1535798019102703 ;\n",
+      "Epoch 60/1000, Cost: 8.3463\n",
+      " and the parameters are [-1.21576529  1.91308582] -2.153738128690087 ;\n",
+      "Epoch 60/1000, Cost: 6.8266\n",
+      " and the parameters are [-1.21576761  1.91326055] -2.1537152007262614 ;\n",
+      "Epoch 60/1000, Cost: 5.6190\n",
+      " and the parameters are [-1.21571038  1.91343247] -2.15375093491406 ;\n",
+      "Epoch 60/1000, Cost: 7.3264\n",
+      " and the parameters are [-1.21583202  1.91342554] -2.1538689385879577 ;\n",
+      "Epoch 60/1000, Cost: 7.0610\n",
+      " and the parameters are [-1.21586391  1.91353225] -2.1539394083997006 ;\n",
+      "Epoch 60/1000, Cost: 6.5928\n",
+      " and the parameters are [-1.21591135  1.91368616] -2.1539567289412194 ;\n",
+      "Epoch 60/1000, Cost: 8.4694\n",
+      " and the parameters are [-1.21604017  1.91359549] -2.1541159628449145 ;\n",
+      "Epoch 60/1000, Cost: 8.4480\n",
+      " and the parameters are [-1.21605237  1.91359283] -2.154291600294945 ;\n",
+      "Epoch 60/1000, Cost: 6.3872\n",
+      " and the parameters are [-1.21609192  1.9137477 ] -2.154327118351205 ;\n",
+      "Epoch 60/1000, Cost: 6.4380\n",
+      " and the parameters are [-1.21619543  1.91379022] -2.1544197312035855 ;\n",
+      "Epoch 60/1000, Cost: 4.9362\n",
+      " and the parameters are [-1.21616887  1.91392013] -2.154475726986837 ;\n",
+      "Epoch 60/1000, Cost: 7.9088\n",
+      " and the parameters are [-1.21621214  1.91406098] -2.1544954858417653 ;\n",
+      "Epoch 60/1000, Cost: 7.3988\n",
+      " and the parameters are [-1.21626006  1.91417062] -2.1545759619706244 ;\n",
+      "Epoch 60/1000, Cost: 6.3682\n",
+      " and the parameters are [-1.21634841  1.91423235] -2.154663428019994 ;\n",
+      "Epoch 60/1000, Cost: 5.5603\n",
+      " and the parameters are [-1.21637695  1.91431701] -2.154754091249201 ;\n",
+      "Epoch 60/1000, Cost: 7.2872\n",
+      " and the parameters are [-1.21634781  1.91444465] -2.154839600972264 ;\n",
+      "Epoch 60/1000, Cost: 7.4820\n",
+      " and the parameters are [-1.21653343  1.91447323] -2.1548850040684 ;\n",
+      "Epoch 60/1000, Cost: 7.3236\n",
+      " and the parameters are [-1.21664187  1.91452292] -2.15495412348104 ;\n",
+      "Epoch 60/1000, Cost: 6.3947\n",
+      " and the parameters are [-1.21669332  1.91460974] -2.1550275065320434 ;\n",
+      "Epoch 60/1000, Cost: 8.2756\n",
+      " and the parameters are [-1.21671168  1.9146566 ] -2.155094811485081 ;\n",
+      "Epoch 60/1000, Cost: 6.9549\n",
+      " and the parameters are [-1.21679448  1.91482261] -2.1550779941583276 ;\n",
+      "Epoch 60/1000, Cost: 7.1848\n",
+      " and the parameters are [-1.21678949  1.9149185 ] -2.1551726020627404 ;\n",
+      "Epoch 60/1000, Cost: 5.6440\n",
+      " and the parameters are [-1.21672797  1.91506443] -2.1552746908396214 ;\n",
+      "Epoch 60/1000, Cost: 6.9414\n",
+      " and the parameters are [-1.21674357  1.91517288] -2.1553642251365517 ;\n",
+      "Epoch 60/1000, Cost: 8.8992\n",
+      " and the parameters are [-1.21682734  1.91515545] -2.155487918793074 ;\n",
+      "Epoch 60/1000, Cost: 7.2033\n",
+      " and the parameters are [-1.21688704  1.9152336 ] -2.1555486481108086 ;\n",
+      "Epoch 60/1000, Cost: 7.5917\n",
+      " and the parameters are [-1.21705937  1.91519466] -2.1556571560230453 ;\n",
+      "Epoch 60/1000, Cost: 7.8322\n",
+      " and the parameters are [-1.21705221  1.9153047 ] -2.1557479511837214 ;\n",
+      "Epoch 60/1000, Cost: 9.7242\n",
+      " and the parameters are [-1.21717987  1.91524046] -2.1558885142702895 ;\n",
+      "Epoch 60/1000, Cost: 7.0976\n",
+      " and the parameters are [-1.21721857  1.91542293] -2.1558863458604263 ;\n",
+      "Epoch 60/1000, Cost: 5.8342\n",
+      " and the parameters are [-1.21718797  1.91556011] -2.1559579795226815 ;\n",
+      "Epoch 60/1000, Cost: 7.6195\n",
+      " and the parameters are [-1.21725838  1.91560841] -2.1560843908253378 ;\n",
+      "Epoch 60/1000, Cost: 11.9959\n",
+      " and the parameters are [-1.21741654  1.9153302 ] -2.156328425469311 ;\n",
+      "Epoch 60/1000, Cost: 6.1067\n",
+      " and the parameters are [-1.21745245  1.91543114] -2.1564102852853155 ;\n",
+      "Epoch 60/1000, Cost: 6.4530\n",
+      " and the parameters are [-1.2176047   1.91541382] -2.1565222850316297 ;\n",
+      "Epoch 60/1000, Cost: 6.2328\n",
+      " and the parameters are [-1.21764808  1.91554307] -2.156562846904206 ;\n",
+      "Epoch 60/1000, Cost: 8.5045\n",
+      " and the parameters are [-1.2176382   1.91569439] -2.1566311404818013 ;\n",
+      "Epoch 60/1000, Cost: 6.0037\n",
+      " and the parameters are [-1.21771558  1.91570706] -2.156730726279057 ;\n",
+      "Epoch 60/1000, Cost: 6.2817\n",
+      " and the parameters are [-1.21787493  1.91579463] -2.156737009057545 ;\n",
+      "Epoch 60/1000, Cost: 7.3093\n",
+      " and the parameters are [-1.21787966  1.91587182] -2.156873257220264 ;\n",
+      "Epoch 60/1000, Cost: 5.6166\n",
+      " and the parameters are [-1.21787939  1.91591324] -2.157021732090459 ;\n",
+      "Epoch 60/1000, Cost: 8.9883\n",
+      " and the parameters are [-1.21790616  1.91594236] -2.1571324844602775 ;\n",
+      "Epoch 60/1000, Cost: 10.6714\n",
+      " and the parameters are [-1.21806635  1.91574145] -2.1573710760788627 ;\n",
+      "Epoch 60/1000, Cost: 6.8536\n",
+      " and the parameters are [-1.21802998  1.91596157] -2.1573927093064476 ;\n",
+      "Epoch 60/1000, Cost: 6.8299\n",
+      " and the parameters are [-1.21806085  1.9160396 ] -2.1575121488148086 ;\n",
+      "Epoch 60/1000, Cost: 7.9492\n",
+      " and the parameters are [-1.2180866   1.91604854] -2.1576585137657727 ;\n",
+      "Epoch 60/1000, Cost: 8.3124\n",
+      " and the parameters are [-1.21827655  1.91603051] -2.157749649144168 ;\n",
+      "Epoch 60/1000, Cost: 3.7421\n",
+      " and the parameters are [-1.21834506  1.91621705] -2.1577112210449836 ;\n",
+      "Epoch 60/1000, Cost: 5.8374\n",
+      " and the parameters are [-1.21838039  1.91634683] -2.1577612864947255 ;\n",
+      "Epoch 60/1000, Cost: 6.1754\n",
+      " and the parameters are [-1.21841155  1.91637578] -2.157880154770276 ;\n",
+      "Epoch 60/1000, Cost: 8.4784\n",
+      " and the parameters are [-1.21852266  1.91628679] -2.1580747855746294 ;\n",
+      "Epoch 60/1000, Cost: 7.6378\n",
+      " and the parameters are [-1.2186062   1.91627891] -2.1582156435742696 ;\n",
+      "Epoch 60/1000, Cost: 5.4369\n",
+      " and the parameters are [-1.2186712   1.91644384] -2.158227193416831 ;\n",
+      "Epoch 60/1000, Cost: 5.7353\n",
+      " and the parameters are [-1.21871611  1.91652282] -2.1582919706334045 ;\n",
+      "Epoch 60/1000, Cost: 6.6763\n",
+      " and the parameters are [-1.21879231  1.91662253] -2.158331836202899 ;\n",
+      "Epoch 60/1000, Cost: 8.5797\n",
+      " and the parameters are [-1.21880496  1.9165702 ] -2.1585361184999297 ;\n",
+      "Epoch 60/1000, Cost: 6.5091\n",
+      " and the parameters are [-1.21891824  1.91659048] -2.1586151841242334 ;\n",
+      "Epoch 60/1000, Cost: 7.4141\n",
+      " and the parameters are [-1.21902908  1.9167423 ] -2.158622043459205 ;\n",
+      "Epoch 60/1000, Cost: 6.9294\n",
+      " and the parameters are [-1.21903357  1.91689594] -2.15867696648801 ;\n",
+      "Epoch 60/1000, Cost: 6.4244\n",
+      " and the parameters are [-1.2191592   1.91687934] -2.158801378145226 ;\n",
+      "Epoch 60/1000, Cost: 8.9630\n",
+      " and the parameters are [-1.21928769  1.91680413] -2.1589359723664763 ;\n",
+      "Epoch 60/1000, Cost: 7.3116\n",
+      " and the parameters are [-1.21936889  1.9168913 ] -2.159018736886363 ;\n",
+      "Epoch 60/1000, Cost: 5.6318\n",
+      " and the parameters are [-1.21936717  1.91705103] -2.1590679694891866 ;\n",
+      "Epoch 60/1000, Cost: 7.8319\n",
+      " and the parameters are [-1.21950898  1.91691939] -2.1592506197296077 ;\n",
+      "Epoch 60/1000, Cost: 7.8588\n",
+      " and the parameters are [-1.21956652  1.91697128] -2.159375753887765 ;\n",
+      "Epoch 60/1000, Cost: 5.8321\n",
+      " and the parameters are [-1.21959573  1.91706787] -2.159457196919129 ;\n",
+      "Epoch 60/1000, Cost: 6.5950\n",
+      " and the parameters are [-1.21967879  1.91719756] -2.159470374420788 ;\n",
+      "Epoch 60/1000, Cost: 10.1737\n",
+      " and the parameters are [-1.21985616  1.91699917] -2.159670216196895 ;\n",
+      "Epoch 60/1000, Cost: 9.6628\n",
+      " and the parameters are [-1.21974142  1.91703633] -2.1598519237444846 ;\n",
+      "Epoch 60/1000, Cost: 9.1628\n",
+      " and the parameters are [-1.21981225  1.91707853] -2.1599303320055827 ;\n",
+      "Epoch 60/1000, Cost: 6.9553\n",
+      " and the parameters are [-1.21991319  1.91713948] -2.1599689830156423 ;\n",
+      "Epoch 60/1000, Cost: 7.4038\n",
+      " and the parameters are [-1.21995557  1.91718621] -2.1600725767692337 ;\n",
+      "Epoch 60/1000, Cost: 6.2598\n",
+      " and the parameters are [-1.22003984  1.917288  ] -2.1601019419342746 ;\n",
+      "Epoch 60/1000, Cost: 6.6179\n",
+      " and the parameters are [-1.22017179  1.91729498] -2.1602057859353323 ;\n",
+      "Epoch 60/1000, Cost: 7.2163\n",
+      " and the parameters are [-1.22021183  1.91738858] -2.1602818766666005 ;\n",
+      "Epoch 60/1000, Cost: 6.0031\n",
+      " and the parameters are [-1.22027658  1.91741066] -2.1604057383247692 ;\n",
+      "Epoch 60/1000, Cost: 6.9405\n",
+      " and the parameters are [-1.22023331  1.91743563] -2.160592312714341 ;\n",
+      "Epoch 60/1000, Cost: 8.7268\n",
+      " and the parameters are [-1.2203216   1.91740059] -2.1607650718503995 ;\n",
+      "Epoch 60/1000, Cost: 6.0303\n",
+      " and the parameters are [-1.22034545  1.91747592] -2.1608836289055633 ;\n",
+      "Epoch 60/1000, Cost: 7.3751\n",
+      " and the parameters are [-1.22029929  1.91749622] -2.1610653802142195 ;\n",
+      "Epoch 60/1000, Cost: 5.3808\n",
+      " and the parameters are [-1.22023771  1.91760221] -2.161167851624147 ;\n",
+      "Epoch 60/1000, Cost: 10.2177\n",
+      " and the parameters are [-1.22031102  1.91740097] -2.1614278688699113 ;\n",
+      "Epoch 60/1000, Cost: 6.7594\n",
+      " and the parameters are [-1.22042537  1.91741913] -2.161539335059871 ;\n",
+      "Epoch 60/1000, Cost: 5.5292\n",
+      " and the parameters are [-1.22041731  1.91753117] -2.1616422049217072 ;\n",
+      "Epoch 60/1000, Cost: 8.7293\n",
+      " and the parameters are [-1.22046284  1.91757914] -2.161735597109086 ;\n",
+      "Epoch 60/1000, Cost: 8.5691\n",
+      " and the parameters are [-1.22043295  1.91762335] -2.161853990211026 ;\n",
+      "Epoch 60/1000, Cost: 5.3566\n",
+      " and the parameters are [-1.22051633  1.91768973] -2.1619191595443836 ;\n",
+      "Epoch 60/1000, Cost: 7.1245\n",
+      " and the parameters are [-1.2206259   1.91780185] -2.161965606247177 ;\n",
+      "Epoch 60/1000, Cost: 12.2358\n",
+      " and the parameters are [-1.22075961  1.91761795] -2.162169038024599 ;\n",
+      "Epoch 60/1000, Cost: 9.1475\n",
+      " and the parameters are [-1.22081212  1.91766063] -2.1623275440173955 ;\n",
+      "Epoch 60/1000, Cost: 10.5538\n",
+      " and the parameters are [-1.22102015  1.91747995] -2.162524913072812 ;\n",
+      "Epoch 60/1000, Cost: 10.9048\n",
+      " and the parameters are [-1.22113232  1.91739298] -2.1626298936419803 ;\n",
+      "Epoch 60/1000, Cost: 5.9474\n",
+      " and the parameters are [-1.22112506  1.91741447] -2.1627999736966528 ;\n",
+      "Epoch 60/1000, Cost: 5.8990\n",
+      " and the parameters are [-1.22119505  1.91747392] -2.1628910183300505 ;\n",
+      "Epoch 60/1000, Cost: 7.9422\n",
+      " and the parameters are [-1.22120329  1.91762279] -2.162949313277045 ;\n",
+      "Epoch 60/1000, Cost: 10.4619\n",
+      " and the parameters are [-1.22134638  1.91747157] -2.1631366282772366 ;\n",
+      "Epoch 60/1000, Cost: 8.7823\n",
+      " and the parameters are [-1.22134777  1.91765199] -2.1631177504335692 ;\n",
+      "Epoch 60/1000, Cost: 5.0092\n",
+      " and the parameters are [-1.22143502  1.91777611] -2.1631384158936418 ;\n",
+      "Epoch 60/1000, Cost: 5.4230\n",
+      " and the parameters are [-1.2213806  1.9178788] -2.1632452678081666 ;\n",
+      "Epoch 60/1000, Cost: 7.9581\n",
+      " and the parameters are [-1.22146475  1.91798622] -2.163286969977211 ;\n",
+      "Epoch 60/1000, Cost: 8.0582\n",
+      " and the parameters are [-1.22151712  1.91802303] -2.1634034649761835 ;\n",
+      "Epoch 60/1000, Cost: 6.8889\n",
+      " and the parameters are [-1.22154635  1.9180926 ] -2.163502456159124 ;\n",
+      "Epoch 60/1000, Cost: 8.2163\n",
+      " and the parameters are [-1.22160987  1.91826099] -2.1634924356374676 ;\n",
+      "Epoch 60/1000, Cost: 7.4527\n",
+      " and the parameters are [-1.22163859  1.9183649 ] -2.1635468817472643 ;\n",
+      "Epoch 60/1000, Cost: 7.9619\n",
+      " and the parameters are [-1.22172815  1.91832036] -2.1636919824055028 ;\n",
+      "Epoch 60/1000, Cost: 9.1523\n",
+      " and the parameters are [-1.22175964  1.91828701] -2.1638610797654265 ;\n",
+      "Epoch 60/1000, Cost: 7.6086\n",
+      " and the parameters are [-1.22190406  1.91819548] -2.163983193544521 ;\n",
+      "Epoch 60/1000, Cost: 7.9827\n",
+      " and the parameters are [-1.22192759  1.91829987] -2.1640700530732326 ;\n",
+      "Epoch 60/1000, Cost: 8.6059\n",
+      " and the parameters are [-1.22194469  1.91820606] -2.164286495520027 ;\n",
+      "Epoch 60/1000, Cost: 5.3360\n",
+      " and the parameters are [-1.22198888  1.91827216] -2.164386613579074 ;\n",
+      "Epoch 60/1000, Cost: 4.9312\n",
+      " and the parameters are [-1.22201883  1.91843425] -2.1644134489942624 ;\n",
+      "Epoch 60/1000, Cost: 7.0355\n",
+      " and the parameters are [-1.22213823  1.91842573] -2.1645592169258565 ;\n",
+      "Epoch 60/1000, Cost: 6.8261\n",
+      " and the parameters are [-1.22216654  1.91843918] -2.1646707047728424 ;\n",
+      "Epoch 60/1000, Cost: 7.6634\n",
+      " and the parameters are [-1.2222286   1.91843614] -2.1647933512745174 ;\n",
+      "Epoch 60/1000, Cost: 5.4562\n",
+      " and the parameters are [-1.22227462  1.91858075] -2.1648336236203205 ;\n",
+      "Epoch 60/1000, Cost: 7.1945\n",
+      " and the parameters are [-1.22217048  1.91869319] -2.164910506623458 ;\n",
+      "Epoch 60/1000, Cost: 7.9780\n",
+      " and the parameters are [-1.22237107  1.91870781] -2.1649627341595585 ;\n",
+      "Epoch 60/1000, Cost: 5.7766\n",
+      " and the parameters are [-1.22242355  1.91884732] -2.164989626794692 ;\n",
+      "Epoch 60/1000, Cost: 6.6029\n",
+      " and the parameters are [-1.2225164  1.9187638] -2.1651704460536747 ;\n",
+      "Epoch 60/1000, Cost: 8.6205\n",
+      " and the parameters are [-1.22272618  1.91865671] -2.165319939898486 ;\n",
+      "Epoch 60/1000, Cost: 6.9106\n",
+      " and the parameters are [-1.22282591  1.91877209] -2.1653259873197452 ;\n",
+      "Epoch 60/1000, Cost: 7.9732\n",
+      " and the parameters are [-1.22278932  1.91891685] -2.165385788264577 ;\n",
+      "Epoch 60/1000, Cost: 7.3989\n",
+      " and the parameters are [-1.22285593  1.91901119] -2.1654426840371546 ;\n",
+      "Epoch 60/1000, Cost: 7.8190\n",
+      " and the parameters are [-1.22302481  1.91900461] -2.1655094781326976 ;\n",
+      "Epoch 60/1000, Cost: 6.6081\n",
+      " and the parameters are [-1.22311507  1.91899814] -2.16566877759505 ;\n",
+      "Epoch 60/1000, Cost: 6.9210\n",
+      " and the parameters are [-1.22327779  1.91897824] -2.1657715256514853 ;\n",
+      "Epoch 60/1000, Cost: 6.5533\n",
+      " and the parameters are [-1.22333438  1.91896731] -2.1659283531160023 ;\n",
+      "Epoch 60/1000, Cost: 9.4818\n",
+      " and the parameters are [-1.22349083  1.91893711] -2.165975849315108 ;\n",
+      "Epoch 60/1000, Cost: 5.5574\n",
+      " and the parameters are [-1.22341338  1.91907625] -2.1660480450904696 ;\n",
+      "Epoch 60/1000, Cost: 7.9032\n",
+      " and the parameters are [-1.22350564  1.919271  ] -2.1660356848509106 ;\n",
+      "Epoch 60/1000, Cost: 6.2676\n",
+      " and the parameters are [-1.2234961   1.91950519] -2.166025759386007 ;\n",
+      "Epoch 60/1000, Cost: 5.9230\n",
+      " and the parameters are [-1.22337267  1.91976293] -2.1660499553279373 ;\n",
+      "Epoch 60/1000, Cost: 5.8729\n",
+      " and the parameters are [-1.22347548  1.91982099] -2.1660959090790444 ;\n",
+      "Epoch 60/1000, Cost: 5.8409\n",
+      " and the parameters are [-1.22342343  1.9199494 ] -2.1661990685175687 ;\n",
+      "Epoch 60/1000, Cost: 6.6080\n",
+      " and the parameters are [-1.22340689  1.92011509] -2.16624757042862 ;\n",
+      "Epoch 60/1000, Cost: 7.5356\n",
+      " and the parameters are [-1.22349797  1.92020341] -2.1663233898248597 ;\n",
+      "Epoch 60/1000, Cost: 5.1547\n",
+      " and the parameters are [-1.22355673  1.92023975] -2.1664333083462437 ;\n",
+      "Epoch 70/1000, Cost: 7.6273\n",
+      " and the parameters are [-1.31160639  2.02010993] -2.321606476055987 ;\n",
+      "Epoch 70/1000, Cost: 7.2681\n",
+      " and the parameters are [-1.31171041  2.0200854 ] -2.321717676777845 ;\n",
+      "Epoch 70/1000, Cost: 6.8124\n",
+      " and the parameters are [-1.31174369  2.02014455] -2.3217644281592262 ;\n",
+      "Epoch 70/1000, Cost: 7.5761\n",
+      " and the parameters are [-1.31172667  2.02024941] -2.3218206832934807 ;\n",
+      "Epoch 70/1000, Cost: 7.9064\n",
+      " and the parameters are [-1.31177131  2.02030468] -2.3218993506630023 ;\n",
+      "Epoch 70/1000, Cost: 7.0376\n",
+      " and the parameters are [-1.31182501  2.02046183] -2.32189977536431 ;\n",
+      "Epoch 70/1000, Cost: 6.3915\n",
+      " and the parameters are [-1.3119013   2.02052962] -2.321982543769262 ;\n",
+      "Epoch 70/1000, Cost: 10.9553\n",
+      " and the parameters are [-1.31200899  2.02029267] -2.3222234518235756 ;\n",
+      "Epoch 70/1000, Cost: 6.7225\n",
+      " and the parameters are [-1.31214984  2.02026987] -2.322299247362428 ;\n",
+      "Epoch 70/1000, Cost: 4.9873\n",
+      " and the parameters are [-1.3122206  2.020329 ] -2.3223754082555685 ;\n",
+      "Epoch 70/1000, Cost: 7.9109\n",
+      " and the parameters are [-1.31238296  2.02027113] -2.3224945654811417 ;\n",
+      "Epoch 70/1000, Cost: 5.2955\n",
+      " and the parameters are [-1.31250428  2.02028977] -2.32258603860788 ;\n",
+      "Epoch 70/1000, Cost: 6.3343\n",
+      " and the parameters are [-1.31250031  2.02045556] -2.322563067994948 ;\n",
+      "Epoch 70/1000, Cost: 4.9360\n",
+      " and the parameters are [-1.31254577  2.02039485] -2.3227268097650295 ;\n",
+      "Epoch 70/1000, Cost: 8.8357\n",
+      " and the parameters are [-1.31264644  2.02029883] -2.3229191286759807 ;\n",
+      "Epoch 70/1000, Cost: 7.7268\n",
+      " and the parameters are [-1.3128714   2.02036098] -2.322892589625812 ;\n",
+      "Epoch 70/1000, Cost: 6.8307\n",
+      " and the parameters are [-1.31288428  2.02042949] -2.3230147536284163 ;\n",
+      "Epoch 70/1000, Cost: 6.8226\n",
+      " and the parameters are [-1.31302338  2.02050689] -2.3230386391107385 ;\n",
+      "Epoch 70/1000, Cost: 4.9574\n",
+      " and the parameters are [-1.31314559  2.02057777] -2.3230560087240955 ;\n",
+      "Epoch 70/1000, Cost: 6.5483\n",
+      " and the parameters are [-1.31323312  2.02055729] -2.323158801904864 ;\n",
+      "Epoch 70/1000, Cost: 7.9676\n",
+      " and the parameters are [-1.31311293  2.020657  ] -2.3232747844548394 ;\n",
+      "Epoch 70/1000, Cost: 4.6993\n",
+      " and the parameters are [-1.31314655  2.02081861] -2.3232585265196444 ;\n",
+      "Epoch 70/1000, Cost: 6.0882\n",
+      " and the parameters are [-1.31322669  2.02080584] -2.3233638248011985 ;\n",
+      "Epoch 70/1000, Cost: 9.6876\n",
+      " and the parameters are [-1.31328811  2.02070951] -2.323542679080463 ;\n",
+      "Epoch 70/1000, Cost: 6.3817\n",
+      " and the parameters are [-1.31327922  2.020956  ] -2.323512626369923 ;\n",
+      "Epoch 70/1000, Cost: 8.8504\n",
+      " and the parameters are [-1.31331619  2.02091925] -2.3236939731599087 ;\n",
+      "Epoch 70/1000, Cost: 5.0761\n",
+      " and the parameters are [-1.3133428   2.02099296] -2.323754444930006 ;\n",
+      "Epoch 70/1000, Cost: 6.3627\n",
+      " and the parameters are [-1.31339694  2.02107009] -2.323803111531343 ;\n",
+      "Epoch 70/1000, Cost: 5.8264\n",
+      " and the parameters are [-1.31342914  2.0211956 ] -2.3238329325914813 ;\n",
+      "Epoch 70/1000, Cost: 5.9189\n",
+      " and the parameters are [-1.31344831  2.02129882] -2.323895801349205 ;\n",
+      "Epoch 70/1000, Cost: 6.0731\n",
+      " and the parameters are [-1.31351333  2.02136172] -2.323981565857814 ;\n",
+      "Epoch 70/1000, Cost: 5.2241\n",
+      " and the parameters are [-1.3134612   2.02148517] -2.3240624466941355 ;\n",
+      "Epoch 70/1000, Cost: 7.8853\n",
+      " and the parameters are [-1.31355708  2.02136402] -2.3242239130345883 ;\n",
+      "Epoch 70/1000, Cost: 5.8489\n",
+      " and the parameters are [-1.31355568  2.02145661] -2.324320316671372 ;\n",
+      "Epoch 70/1000, Cost: 5.1839\n",
+      " and the parameters are [-1.31355519  2.02157568] -2.324387119631785 ;\n",
+      "Epoch 70/1000, Cost: 11.5482\n",
+      " and the parameters are [-1.31376534  2.02125693] -2.32466075047478 ;\n",
+      "Epoch 70/1000, Cost: 7.5137\n",
+      " and the parameters are [-1.31394289  2.02110749] -2.3248390128607115 ;\n",
+      "Epoch 70/1000, Cost: 6.6938\n",
+      " and the parameters are [-1.31398757  2.02122344] -2.3248764203804786 ;\n",
+      "Epoch 70/1000, Cost: 5.3775\n",
+      " and the parameters are [-1.31404058  2.02132314] -2.324939558971432 ;\n",
+      "Epoch 70/1000, Cost: 7.9940\n",
+      " and the parameters are [-1.31407269  2.02129139] -2.325085093128731 ;\n",
+      "Epoch 70/1000, Cost: 6.5805\n",
+      " and the parameters are [-1.31416281  2.02128994] -2.3251900938825067 ;\n",
+      "Epoch 70/1000, Cost: 5.9734\n",
+      " and the parameters are [-1.31420849  2.02140266] -2.325215182993853 ;\n",
+      "Epoch 70/1000, Cost: 9.3983\n",
+      " and the parameters are [-1.31420804  2.02148752] -2.3252641193238186 ;\n",
+      "Epoch 70/1000, Cost: 7.3666\n",
+      " and the parameters are [-1.31427413  2.02156063] -2.325331329481869 ;\n",
+      "Epoch 70/1000, Cost: 8.0994\n",
+      " and the parameters are [-1.31430208  2.02155185] -2.325470965000001 ;\n",
+      "Epoch 70/1000, Cost: 6.6864\n",
+      " and the parameters are [-1.31429543  2.02168677] -2.3255331435203073 ;\n",
+      "Epoch 70/1000, Cost: 4.1632\n",
+      " and the parameters are [-1.3142863   2.02183766] -2.325568837036101 ;\n",
+      "Epoch 70/1000, Cost: 7.3307\n",
+      " and the parameters are [-1.31435055  2.02187327] -2.3256654300293134 ;\n",
+      "Epoch 70/1000, Cost: 4.5666\n",
+      " and the parameters are [-1.31432786  2.02196092] -2.3257634444112174 ;\n",
+      "Epoch 70/1000, Cost: 7.7419\n",
+      " and the parameters are [-1.31428248  2.02200916] -2.3259078317518425 ;\n",
+      "Epoch 70/1000, Cost: 4.5245\n",
+      " and the parameters are [-1.31433985  2.02207739] -2.3259670551030056 ;\n",
+      "Epoch 70/1000, Cost: 7.5861\n",
+      " and the parameters are [-1.31456816  2.02198366] -2.3260645205025234 ;\n",
+      "Epoch 70/1000, Cost: 5.1375\n",
+      " and the parameters are [-1.31453214  2.02223416] -2.3260255892790584 ;\n",
+      "Epoch 70/1000, Cost: 4.9515\n",
+      " and the parameters are [-1.31463387  2.02220729] -2.3261254381998393 ;\n",
+      "Epoch 70/1000, Cost: 7.0008\n",
+      " and the parameters are [-1.31474468  2.02221022] -2.3262168102622396 ;\n",
+      "Epoch 70/1000, Cost: 5.1099\n",
+      " and the parameters are [-1.31474308  2.02240748] -2.3262216839735697 ;\n",
+      "Epoch 70/1000, Cost: 6.0624\n",
+      " and the parameters are [-1.31471556  2.02252311] -2.3263074258924767 ;\n",
+      "Epoch 70/1000, Cost: 7.1861\n",
+      " and the parameters are [-1.31480882  2.02252899] -2.326379639625604 ;\n",
+      "Epoch 70/1000, Cost: 5.3108\n",
+      " and the parameters are [-1.31486932  2.02261335] -2.3264511910206083 ;\n",
+      "Epoch 70/1000, Cost: 8.7862\n",
+      " and the parameters are [-1.31503114  2.0225468 ] -2.3265871789518817 ;\n",
+      "Epoch 70/1000, Cost: 5.8715\n",
+      " and the parameters are [-1.31495727  2.02266551] -2.3266889285004755 ;\n",
+      "Epoch 70/1000, Cost: 8.5278\n",
+      " and the parameters are [-1.31514531  2.02246722] -2.326894891061391 ;\n",
+      "Epoch 70/1000, Cost: 6.9747\n",
+      " and the parameters are [-1.31527788  2.02244231] -2.3270105430346124 ;\n",
+      "Epoch 70/1000, Cost: 9.4061\n",
+      " and the parameters are [-1.31530527  2.02254855] -2.327029128050012 ;\n",
+      "Epoch 70/1000, Cost: 5.5673\n",
+      " and the parameters are [-1.3153254   2.02272239] -2.327020633144043 ;\n",
+      "Epoch 70/1000, Cost: 7.0140\n",
+      " and the parameters are [-1.31541769  2.0226957 ] -2.327146644803782 ;\n",
+      "Epoch 70/1000, Cost: 5.3700\n",
+      " and the parameters are [-1.3154571   2.02287412] -2.3271401017165303 ;\n",
+      "Epoch 70/1000, Cost: 6.2331\n",
+      " and the parameters are [-1.31556394  2.0228834 ] -2.3272106100026764 ;\n",
+      "Epoch 70/1000, Cost: 5.8531\n",
+      " and the parameters are [-1.31549079  2.02302811] -2.3272885943297914 ;\n",
+      "Epoch 70/1000, Cost: 7.1982\n",
+      " and the parameters are [-1.31550396  2.02297078] -2.3274886273250637 ;\n",
+      "Epoch 70/1000, Cost: 6.9679\n",
+      " and the parameters are [-1.31562397  2.02297904] -2.327579235455912 ;\n",
+      "Epoch 70/1000, Cost: 6.1670\n",
+      " and the parameters are [-1.31560191  2.02297018] -2.327723890613345 ;\n",
+      "Epoch 70/1000, Cost: 7.0946\n",
+      " and the parameters are [-1.31576685  2.02298308] -2.327757843433028 ;\n",
+      "Epoch 70/1000, Cost: 7.3441\n",
+      " and the parameters are [-1.3158085   2.02307928] -2.3277957812764267 ;\n",
+      "Epoch 70/1000, Cost: 5.5676\n",
+      " and the parameters are [-1.31576052  2.02321438] -2.32787653174181 ;\n",
+      "Epoch 70/1000, Cost: 8.6889\n",
+      " and the parameters are [-1.31583353  2.02333077] -2.327909071350137 ;\n",
+      "Epoch 70/1000, Cost: 8.2744\n",
+      " and the parameters are [-1.31602701  2.02316504] -2.328071467020522 ;\n",
+      "Epoch 70/1000, Cost: 8.6041\n",
+      " and the parameters are [-1.31611027  2.02323036] -2.3281438042909297 ;\n",
+      "Epoch 70/1000, Cost: 5.0004\n",
+      " and the parameters are [-1.31610804  2.02341231] -2.328145832685092 ;\n",
+      "Epoch 70/1000, Cost: 4.6935\n",
+      " and the parameters are [-1.31614852  2.02343037] -2.3282468549474507 ;\n",
+      "Epoch 70/1000, Cost: 5.9373\n",
+      " and the parameters are [-1.3162761   2.02343214] -2.328342699160704 ;\n",
+      "Epoch 70/1000, Cost: 7.5712\n",
+      " and the parameters are [-1.31642243  2.02340849] -2.3284447394798438 ;\n",
+      "Epoch 70/1000, Cost: 6.4509\n",
+      " and the parameters are [-1.31642894  2.02346515] -2.3285384501357824 ;\n",
+      "Epoch 70/1000, Cost: 5.6527\n",
+      " and the parameters are [-1.31645344  2.02353356] -2.3286164829316665 ;\n",
+      "Epoch 70/1000, Cost: 4.1665\n",
+      " and the parameters are [-1.31649369  2.02367106] -2.328621795505149 ;\n",
+      "Epoch 70/1000, Cost: 8.1788\n",
+      " and the parameters are [-1.31660729  2.02361842] -2.328758265139852 ;\n",
+      "Epoch 70/1000, Cost: 5.6673\n",
+      " and the parameters are [-1.31665637  2.02369434] -2.3288340206440683 ;\n",
+      "Epoch 70/1000, Cost: 6.4426\n",
+      " and the parameters are [-1.31669796  2.02372825] -2.328942419882296 ;\n",
+      "Epoch 70/1000, Cost: 6.4285\n",
+      " and the parameters are [-1.31675514  2.02386699] -2.328945233803416 ;\n",
+      "Epoch 70/1000, Cost: 6.3017\n",
+      " and the parameters are [-1.31681927  2.02392027] -2.329023750474478 ;\n",
+      "Epoch 70/1000, Cost: 6.9231\n",
+      " and the parameters are [-1.3168839   2.02393969] -2.3290950273568782 ;\n",
+      "Epoch 70/1000, Cost: 4.9037\n",
+      " and the parameters are [-1.31689349  2.02404935] -2.329159176969122 ;\n",
+      "Epoch 70/1000, Cost: 6.1772\n",
+      " and the parameters are [-1.31693862  2.02412236] -2.329221258287609 ;\n",
+      "Epoch 70/1000, Cost: 6.2386\n",
+      " and the parameters are [-1.3169163   2.02417103] -2.329311345635377 ;\n",
+      "Epoch 70/1000, Cost: 3.6464\n",
+      " and the parameters are [-1.31693677  2.02437436] -2.329255125444453 ;\n",
+      "Epoch 70/1000, Cost: 6.7063\n",
+      " and the parameters are [-1.31704253  2.02437233] -2.3293187402767863 ;\n",
+      "Epoch 70/1000, Cost: 8.5732\n",
+      " and the parameters are [-1.31719317  2.02429383] -2.3294219196532007 ;\n",
+      "Epoch 70/1000, Cost: 9.2782\n",
+      " and the parameters are [-1.31737502  2.02403705] -2.3296846342026316 ;\n",
+      "Epoch 70/1000, Cost: 5.3937\n",
+      " and the parameters are [-1.31739274  2.02414788] -2.3297445905205216 ;\n",
+      "Epoch 70/1000, Cost: 4.6788\n",
+      " and the parameters are [-1.31746078  2.02423933] -2.3297956420096058 ;\n",
+      "Epoch 70/1000, Cost: 7.9461\n",
+      " and the parameters are [-1.31745232  2.02428401] -2.3299122307935938 ;\n",
+      "Epoch 70/1000, Cost: 6.4520\n",
+      " and the parameters are [-1.31757784  2.02430156] -2.3300038123497226 ;\n",
+      "Epoch 70/1000, Cost: 6.9045\n",
+      " and the parameters are [-1.3174894   2.02439702] -2.330080986570342 ;\n",
+      "Epoch 70/1000, Cost: 7.6720\n",
+      " and the parameters are [-1.31755161  2.02430153] -2.3302468757198893 ;\n",
+      "Epoch 70/1000, Cost: 6.1469\n",
+      " and the parameters are [-1.31756849  2.02439807] -2.330315506456346 ;\n",
+      "Epoch 70/1000, Cost: 6.2291\n",
+      " and the parameters are [-1.31761039  2.02451546] -2.330372093190118 ;\n",
+      "Epoch 70/1000, Cost: 4.9887\n",
+      " and the parameters are [-1.31756891  2.02466783] -2.3304049301326146 ;\n",
+      "Epoch 70/1000, Cost: 6.8925\n",
+      " and the parameters are [-1.31755024  2.02457641] -2.3306091781288485 ;\n",
+      "Epoch 70/1000, Cost: 6.8631\n",
+      " and the parameters are [-1.31751789  2.02453673] -2.3308025918822963 ;\n",
+      "Epoch 70/1000, Cost: 5.6221\n",
+      " and the parameters are [-1.31752623  2.02477139] -2.3307659050548515 ;\n",
+      "Epoch 70/1000, Cost: 5.1163\n",
+      " and the parameters are [-1.31756698  2.02483047] -2.3308338635029155 ;\n",
+      "Epoch 70/1000, Cost: 6.6781\n",
+      " and the parameters are [-1.31756213  2.0248052 ] -2.331016420984796 ;\n",
+      "Epoch 70/1000, Cost: 7.1244\n",
+      " and the parameters are [-1.31759211  2.02484685] -2.3311336713686193 ;\n",
+      "Epoch 70/1000, Cost: 6.3142\n",
+      " and the parameters are [-1.3176028   2.02489272] -2.331255869140334 ;\n",
+      "Epoch 70/1000, Cost: 8.4211\n",
+      " and the parameters are [-1.317637   2.0249533] -2.3313540981061296 ;\n",
+      "Epoch 70/1000, Cost: 6.2627\n",
+      " and the parameters are [-1.31761853  2.02518052] -2.331322157761248 ;\n",
+      "Epoch 70/1000, Cost: 6.9482\n",
+      " and the parameters are [-1.31760273  2.02520811] -2.3314514458411835 ;\n",
+      "Epoch 70/1000, Cost: 8.0159\n",
+      " and the parameters are [-1.31759145  2.02524955] -2.3315615776432024 ;\n",
+      "Epoch 70/1000, Cost: 5.2209\n",
+      " and the parameters are [-1.31756229  2.02541497] -2.3315885704286914 ;\n",
+      "Epoch 70/1000, Cost: 5.8921\n",
+      " and the parameters are [-1.31756477  2.0255652 ] -2.3316270315046688 ;\n",
+      "Epoch 70/1000, Cost: 6.4641\n",
+      " and the parameters are [-1.3176723   2.02558823] -2.3317095083657966 ;\n",
+      "Epoch 70/1000, Cost: 6.8557\n",
+      " and the parameters are [-1.31770549  2.02572961] -2.3317395890745476 ;\n",
+      "Epoch 70/1000, Cost: 7.2687\n",
+      " and the parameters are [-1.31778956  2.02576234] -2.3318576507871596 ;\n",
+      "Epoch 70/1000, Cost: 7.1411\n",
+      " and the parameters are [-1.31777821  2.0257357 ] -2.332041403831692 ;\n",
+      "Epoch 70/1000, Cost: 6.0919\n",
+      " and the parameters are [-1.3177502   2.02585509] -2.332122393445716 ;\n",
+      "Epoch 70/1000, Cost: 5.7579\n",
+      " and the parameters are [-1.31782278  2.02589938] -2.332209552405488 ;\n",
+      "Epoch 70/1000, Cost: 7.1906\n",
+      " and the parameters are [-1.31776455  2.02598724] -2.332323308922263 ;\n",
+      "Epoch 70/1000, Cost: 8.1590\n",
+      " and the parameters are [-1.31786614  2.02591627] -2.3324606175762015 ;\n",
+      "Epoch 70/1000, Cost: 9.8618\n",
+      " and the parameters are [-1.31787799  2.02600546] -2.3325643872793016 ;\n",
+      "Epoch 70/1000, Cost: 6.8362\n",
+      " and the parameters are [-1.31795044  2.02614018] -2.3325695491979155 ;\n",
+      "Epoch 70/1000, Cost: 7.1426\n",
+      " and the parameters are [-1.318064    2.02631632] -2.332534422003728 ;\n",
+      "Epoch 70/1000, Cost: 6.2238\n",
+      " and the parameters are [-1.31804548  2.02631873] -2.332668504787407 ;\n",
+      "Epoch 70/1000, Cost: 6.0949\n",
+      " and the parameters are [-1.31813903  2.02639774] -2.332702089765057 ;\n",
+      "Epoch 70/1000, Cost: 7.3209\n",
+      " and the parameters are [-1.31824175  2.0263775 ] -2.332829992569073 ;\n",
+      "Epoch 70/1000, Cost: 5.9991\n",
+      " and the parameters are [-1.31825294  2.02644697] -2.332899399386876 ;\n",
+      "Epoch 70/1000, Cost: 10.0904\n",
+      " and the parameters are [-1.31827253  2.02627394] -2.3331761437061083 ;\n",
+      "Epoch 70/1000, Cost: 6.1811\n",
+      " and the parameters are [-1.31834584  2.02638093] -2.3332140546755706 ;\n",
+      "Epoch 70/1000, Cost: 5.6115\n",
+      " and the parameters are [-1.31836952  2.02651977] -2.3332403540517728 ;\n",
+      "Epoch 70/1000, Cost: 6.0481\n",
+      " and the parameters are [-1.31837473  2.02649726] -2.3334156194842475 ;\n",
+      "Epoch 70/1000, Cost: 6.3736\n",
+      " and the parameters are [-1.31842651  2.02660901] -2.333428125664039 ;\n",
+      "Epoch 70/1000, Cost: 6.4737\n",
+      " and the parameters are [-1.31840859  2.0267213 ] -2.333525965015629 ;\n",
+      "Epoch 70/1000, Cost: 6.3867\n",
+      " and the parameters are [-1.31840196  2.0269595 ] -2.3334852284802685 ;\n",
+      "Epoch 70/1000, Cost: 9.3874\n",
+      " and the parameters are [-1.31845085  2.02690191] -2.333611087868184 ;\n",
+      "Epoch 70/1000, Cost: 4.6560\n",
+      " and the parameters are [-1.31842811  2.02712247] -2.3335869900864123 ;\n",
+      "Epoch 70/1000, Cost: 5.9081\n",
+      " and the parameters are [-1.31851537  2.02726371] -2.333583057955992 ;\n",
+      "Epoch 70/1000, Cost: 6.3509\n",
+      " and the parameters are [-1.31862461  2.02727661] -2.3336927834585803 ;\n",
+      "Epoch 70/1000, Cost: 5.2215\n",
+      " and the parameters are [-1.31860369  2.02751935] -2.333665784153122 ;\n",
+      "Epoch 70/1000, Cost: 5.4227\n",
+      " and the parameters are [-1.31853928  2.02771789] -2.333671730782976 ;\n",
+      "Epoch 70/1000, Cost: 8.3122\n",
+      " and the parameters are [-1.31863707  2.02766551] -2.3337635274022315 ;\n",
+      "Epoch 70/1000, Cost: 5.7926\n",
+      " and the parameters are [-1.31860942  2.02790619] -2.3337170099188187 ;\n",
+      "Epoch 70/1000, Cost: 5.7434\n",
+      " and the parameters are [-1.31866963  2.02801286] -2.333752059685432 ;\n",
+      "Epoch 70/1000, Cost: 6.9441\n",
+      " and the parameters are [-1.31876104  2.02800087] -2.3338700747261716 ;\n",
+      "Epoch 70/1000, Cost: 5.0829\n",
+      " and the parameters are [-1.3188365   2.02809858] -2.333917245562899 ;\n",
+      "Epoch 70/1000, Cost: 8.3795\n",
+      " and the parameters are [-1.31896404  2.02800637] -2.3340531045194144 ;\n",
+      "Epoch 70/1000, Cost: 9.9139\n",
+      " and the parameters are [-1.31907297  2.02788368] -2.334179761711518 ;\n",
+      "Epoch 70/1000, Cost: 7.4357\n",
+      " and the parameters are [-1.31915443  2.02785613] -2.334318546245128 ;\n",
+      "Epoch 70/1000, Cost: 6.8237\n",
+      " and the parameters are [-1.31916631  2.02793146] -2.3343772844466626 ;\n",
+      "Epoch 70/1000, Cost: 5.5569\n",
+      " and the parameters are [-1.31920591  2.02796894] -2.33445720080473 ;\n",
+      "Epoch 70/1000, Cost: 7.4813\n",
+      " and the parameters are [-1.31918704  2.02802768] -2.3345623742844377 ;\n",
+      "Epoch 70/1000, Cost: 8.3437\n",
+      " and the parameters are [-1.31929883  2.02791696] -2.334679330121455 ;\n",
+      "Epoch 70/1000, Cost: 6.1351\n",
+      " and the parameters are [-1.3193352   2.02805345] -2.334679573538853 ;\n",
+      "Epoch 70/1000, Cost: 6.9535\n",
+      " and the parameters are [-1.31932352  2.02811932] -2.334779883431492 ;\n",
+      "Epoch 70/1000, Cost: 6.5579\n",
+      " and the parameters are [-1.31939277  2.02817385] -2.3348864560918265 ;\n",
+      "Epoch 70/1000, Cost: 5.3318\n",
+      " and the parameters are [-1.3193243   2.02835002] -2.3349190544974707 ;\n",
+      "Epoch 70/1000, Cost: 3.8813\n",
+      " and the parameters are [-1.31933777  2.02842476] -2.3350099828168793 ;\n",
+      "Epoch 70/1000, Cost: 7.4108\n",
+      " and the parameters are [-1.31943116  2.02850326] -2.3350554491062994 ;\n",
+      "Epoch 70/1000, Cost: 4.3819\n",
+      " and the parameters are [-1.31944946  2.0286296 ] -2.3350993356305954 ;\n",
+      "Epoch 70/1000, Cost: 7.1726\n",
+      " and the parameters are [-1.3195389   2.02876323] -2.335070565340938 ;\n",
+      "Epoch 70/1000, Cost: 4.7640\n",
+      " and the parameters are [-1.31962921  2.02892295] -2.33504442776651 ;\n",
+      "Epoch 70/1000, Cost: 6.2817\n",
+      " and the parameters are [-1.31969725  2.02898136] -2.335107883554889 ;\n",
+      "Epoch 70/1000, Cost: 7.7885\n",
+      " and the parameters are [-1.31963235  2.02900097] -2.3352864407259406 ;\n",
+      "Epoch 70/1000, Cost: 4.9497\n",
+      " and the parameters are [-1.31966675  2.02908671] -2.335351839912017 ;\n",
+      "Epoch 70/1000, Cost: 6.1415\n",
+      " and the parameters are [-1.3198153   2.02908505] -2.335410987592883 ;\n",
+      "Epoch 70/1000, Cost: 6.3667\n",
+      " and the parameters are [-1.3198116   2.02920917] -2.335477357971056 ;\n",
+      "Epoch 70/1000, Cost: 8.3042\n",
+      " and the parameters are [-1.31981737  2.02930216] -2.3355297387736336 ;\n",
+      "Epoch 70/1000, Cost: 9.4041\n",
+      " and the parameters are [-1.31995086  2.02925567] -2.3356118700732096 ;\n",
+      "Epoch 70/1000, Cost: 6.1284\n",
+      " and the parameters are [-1.31996623  2.02932324] -2.3356947082241604 ;\n",
+      "Epoch 70/1000, Cost: 5.5339\n",
+      " and the parameters are [-1.32002076  2.02941914] -2.335751107776066 ;\n",
+      "Epoch 70/1000, Cost: 6.6861\n",
+      " and the parameters are [-1.32009916  2.02939604] -2.3358863634059355 ;\n",
+      "Epoch 70/1000, Cost: 6.2715\n",
+      " and the parameters are [-1.32010936  2.02960597] -2.335861586287966 ;\n",
+      "Epoch 70/1000, Cost: 6.4307\n",
+      " and the parameters are [-1.32001154  2.02973384] -2.335961451941522 ;\n",
+      "Epoch 70/1000, Cost: 5.5321\n",
+      " and the parameters are [-1.32003019  2.0298403 ] -2.3360386433007414 ;\n",
+      "Epoch 70/1000, Cost: 9.4172\n",
+      " and the parameters are [-1.32006446  2.02983629] -2.3361300151220856 ;\n",
+      "Epoch 70/1000, Cost: 12.0345\n",
+      " and the parameters are [-1.32006581  2.02983994] -2.336222161361538 ;\n",
+      "Epoch 70/1000, Cost: 6.9383\n",
+      " and the parameters are [-1.32011297  2.02980598] -2.3363580741918653 ;\n",
+      "Epoch 70/1000, Cost: 7.7099\n",
+      " and the parameters are [-1.32022473  2.02977   ] -2.336503772518642 ;\n",
+      "Epoch 70/1000, Cost: 5.5266\n",
+      " and the parameters are [-1.32020864  2.02997781] -2.3365111431716 ;\n",
+      "Epoch 70/1000, Cost: 8.9647\n",
+      " and the parameters are [-1.32024917  2.03006706] -2.336577280827278 ;\n",
+      "Epoch 70/1000, Cost: 4.8602\n",
+      " and the parameters are [-1.32017741  2.030142  ] -2.3367092781043963 ;\n",
+      "Epoch 70/1000, Cost: 7.3295\n",
+      " and the parameters are [-1.32014059  2.03017907] -2.336859694270377 ;\n",
+      "Epoch 70/1000, Cost: 6.0209\n",
+      " and the parameters are [-1.32027905  2.03014992] -2.336952330244253 ;\n",
+      "Epoch 70/1000, Cost: 6.0448\n",
+      " and the parameters are [-1.32029864  2.03011264] -2.3371213657434162 ;\n",
+      "Epoch 70/1000, Cost: 4.6877\n",
+      " and the parameters are [-1.32038083  2.03023966] -2.33712460832587 ;\n",
+      "Epoch 70/1000, Cost: 5.6502\n",
+      " and the parameters are [-1.32043856  2.0302912 ] -2.3372136228626945 ;\n",
+      "Epoch 70/1000, Cost: 6.4420\n",
+      " and the parameters are [-1.32054172  2.030458  ] -2.337178736525628 ;\n",
+      "Epoch 70/1000, Cost: 6.7974\n",
+      " and the parameters are [-1.32068483  2.03042054] -2.3372743821346753 ;\n",
+      "Epoch 70/1000, Cost: 7.4119\n",
+      " and the parameters are [-1.32074523  2.03044251] -2.337348889149348 ;\n",
+      "Epoch 70/1000, Cost: 4.8937\n",
+      " and the parameters are [-1.32068661  2.03051402] -2.3374451289602685 ;\n",
+      "Epoch 70/1000, Cost: 8.1310\n",
+      " and the parameters are [-1.32076239  2.03047293] -2.3376019119178086 ;\n",
+      "Epoch 70/1000, Cost: 7.9082\n",
+      " and the parameters are [-1.32069742  2.03060669] -2.3376674882612996 ;\n",
+      "Epoch 80/1000, Cost: 8.0636\n",
+      " and the parameters are [-1.3986448   2.11994003] -2.4753292116439516 ;\n",
+      "Epoch 80/1000, Cost: 9.5464\n",
+      " and the parameters are [-1.39882991  2.11966324] -2.475572395535527 ;\n",
+      "Epoch 80/1000, Cost: 6.3361\n",
+      " and the parameters are [-1.39884945  2.11975296] -2.4756108074053707 ;\n",
+      "Epoch 80/1000, Cost: 6.7041\n",
+      " and the parameters are [-1.39895447  2.11973241] -2.475692595776972 ;\n",
+      "Epoch 80/1000, Cost: 7.3158\n",
+      " and the parameters are [-1.39900448  2.1196722 ] -2.4758320133155545 ;\n",
+      "Epoch 80/1000, Cost: 5.2546\n",
+      " and the parameters are [-1.3989608   2.11974126] -2.4759469117839688 ;\n",
+      "Epoch 80/1000, Cost: 7.0664\n",
+      " and the parameters are [-1.3990207   2.11975371] -2.476044480121831 ;\n",
+      "Epoch 80/1000, Cost: 6.5417\n",
+      " and the parameters are [-1.39903956  2.11988724] -2.476069902665854 ;\n",
+      "Epoch 80/1000, Cost: 5.4501\n",
+      " and the parameters are [-1.39902765  2.1199645 ] -2.476129102512643 ;\n",
+      "Epoch 80/1000, Cost: 7.3960\n",
+      " and the parameters are [-1.39910043  2.11988419] -2.476301444709348 ;\n",
+      "Epoch 80/1000, Cost: 6.3081\n",
+      " and the parameters are [-1.39913793  2.11984064] -2.4764493950727235 ;\n",
+      "Epoch 80/1000, Cost: 7.3347\n",
+      " and the parameters are [-1.39910621  2.11995069] -2.476513250034364 ;\n",
+      "Epoch 80/1000, Cost: 7.5830\n",
+      " and the parameters are [-1.39915316  2.11990536] -2.4766751244326257 ;\n",
+      "Epoch 80/1000, Cost: 6.0145\n",
+      " and the parameters are [-1.39925072  2.11989886] -2.476772909695178 ;\n",
+      "Epoch 80/1000, Cost: 5.1419\n",
+      " and the parameters are [-1.39920056  2.11995191] -2.4768819139696916 ;\n",
+      "Epoch 80/1000, Cost: 3.8134\n",
+      " and the parameters are [-1.39919191  2.12017249] -2.476839542889583 ;\n",
+      "Epoch 80/1000, Cost: 7.0954\n",
+      " and the parameters are [-1.39930593  2.12004217] -2.477014397421158 ;\n",
+      "Epoch 80/1000, Cost: 5.4571\n",
+      " and the parameters are [-1.39929406  2.12017491] -2.4770610515613702 ;\n",
+      "Epoch 80/1000, Cost: 6.5917\n",
+      " and the parameters are [-1.39945907  2.12013995] -2.4771454143932026 ;\n",
+      "Epoch 80/1000, Cost: 7.2164\n",
+      " and the parameters are [-1.39950418  2.12013352] -2.4772803054874672 ;\n",
+      "Epoch 80/1000, Cost: 7.1929\n",
+      " and the parameters are [-1.3995547   2.12019527] -2.4773500826563755 ;\n",
+      "Epoch 80/1000, Cost: 5.9970\n",
+      " and the parameters are [-1.39967493  2.12027067] -2.477372681396488 ;\n",
+      "Epoch 80/1000, Cost: 5.8415\n",
+      " and the parameters are [-1.39980144  2.12016156] -2.477502331627425 ;\n",
+      "Epoch 80/1000, Cost: 10.2683\n",
+      " and the parameters are [-1.39994543  2.11991049] -2.47776147796995 ;\n",
+      "Epoch 80/1000, Cost: 7.8279\n",
+      " and the parameters are [-1.40000012  2.11975935] -2.4779974086005385 ;\n",
+      "Epoch 80/1000, Cost: 6.3960\n",
+      " and the parameters are [-1.4000803   2.11980021] -2.478061192757336 ;\n",
+      "Epoch 80/1000, Cost: 5.0706\n",
+      " and the parameters are [-1.4002063   2.11971989] -2.4781914393337656 ;\n",
+      "Epoch 80/1000, Cost: 5.8354\n",
+      " and the parameters are [-1.40028346  2.11972985] -2.4782905375231863 ;\n",
+      "Epoch 80/1000, Cost: 6.6816\n",
+      " and the parameters are [-1.40026895  2.11975865] -2.478411140895425 ;\n",
+      "Epoch 80/1000, Cost: 6.0506\n",
+      " and the parameters are [-1.40037739  2.11972835] -2.47851989005599 ;\n",
+      "Epoch 80/1000, Cost: 5.6248\n",
+      " and the parameters are [-1.40042119  2.11981261] -2.4785616941047084 ;\n",
+      "Epoch 80/1000, Cost: 6.5670\n",
+      " and the parameters are [-1.40042323  2.11992435] -2.4786464743015886 ;\n",
+      "Epoch 80/1000, Cost: 7.2414\n",
+      " and the parameters are [-1.40047021  2.11990575] -2.4787798064708464 ;\n",
+      "Epoch 80/1000, Cost: 9.5130\n",
+      " and the parameters are [-1.40066734  2.11981962] -2.4788784718251087 ;\n",
+      "Epoch 80/1000, Cost: 6.7272\n",
+      " and the parameters are [-1.40067243  2.11986295] -2.4789676197165793 ;\n",
+      "Epoch 80/1000, Cost: 4.0188\n",
+      " and the parameters are [-1.40072299  2.11996376] -2.4789796866769174 ;\n",
+      "Epoch 80/1000, Cost: 5.5039\n",
+      " and the parameters are [-1.40076391  2.12004494] -2.4790311069441784 ;\n",
+      "Epoch 80/1000, Cost: 4.6457\n",
+      " and the parameters are [-1.40074067  2.12023345] -2.4790216243684173 ;\n",
+      "Epoch 80/1000, Cost: 6.4694\n",
+      " and the parameters are [-1.40075904  2.12020902] -2.479142015845154 ;\n",
+      "Epoch 80/1000, Cost: 6.2943\n",
+      " and the parameters are [-1.40085764  2.12021148] -2.479202309186707 ;\n",
+      "Epoch 80/1000, Cost: 8.6464\n",
+      " and the parameters are [-1.4010627   2.12008283] -2.4793040420236685 ;\n",
+      "Epoch 80/1000, Cost: 5.6752\n",
+      " and the parameters are [-1.401121    2.12008227] -2.479430955331959 ;\n",
+      "Epoch 80/1000, Cost: 5.7361\n",
+      " and the parameters are [-1.40114524  2.12011738] -2.4795109851293873 ;\n",
+      "Epoch 80/1000, Cost: 6.3714\n",
+      " and the parameters are [-1.40128465  2.12009984] -2.479601686006523 ;\n",
+      "Epoch 80/1000, Cost: 4.5867\n",
+      " and the parameters are [-1.40135986  2.1202626 ] -2.479561923832924 ;\n",
+      "Epoch 80/1000, Cost: 4.3138\n",
+      " and the parameters are [-1.40146673  2.12037411] -2.479548837238962 ;\n",
+      "Epoch 80/1000, Cost: 4.4525\n",
+      " and the parameters are [-1.40148621  2.12056533] -2.479520862702524 ;\n",
+      "Epoch 80/1000, Cost: 3.9870\n",
+      " and the parameters are [-1.40153114  2.12067615] -2.4795452080271576 ;\n",
+      "Epoch 80/1000, Cost: 7.1384\n",
+      " and the parameters are [-1.40155014  2.12059706] -2.479704700313295 ;\n",
+      "Epoch 80/1000, Cost: 7.3278\n",
+      " and the parameters are [-1.40161223  2.12050928] -2.4798607935064965 ;\n",
+      "Epoch 80/1000, Cost: 6.9930\n",
+      " and the parameters are [-1.40168935  2.12045764] -2.4799977956173906 ;\n",
+      "Epoch 80/1000, Cost: 5.1054\n",
+      " and the parameters are [-1.40173404  2.12052689] -2.4800557531755185 ;\n",
+      "Epoch 80/1000, Cost: 6.3249\n",
+      " and the parameters are [-1.40174399  2.12056236] -2.4801544380750866 ;\n",
+      "Epoch 80/1000, Cost: 5.5088\n",
+      " and the parameters are [-1.40171222  2.12060285] -2.4802806050400066 ;\n",
+      "Epoch 80/1000, Cost: 5.5959\n",
+      " and the parameters are [-1.40165652  2.12063967] -2.4803983534769167 ;\n",
+      "Epoch 80/1000, Cost: 5.1052\n",
+      " and the parameters are [-1.4016149   2.12081131] -2.480440443217712 ;\n",
+      "Epoch 80/1000, Cost: 4.3706\n",
+      " and the parameters are [-1.40161448  2.12095963] -2.480461154365712 ;\n",
+      "Epoch 80/1000, Cost: 6.8136\n",
+      " and the parameters are [-1.40164218  2.12118851] -2.4804140764108493 ;\n",
+      "Epoch 80/1000, Cost: 6.4694\n",
+      " and the parameters are [-1.4016858   2.12108215] -2.48061019944971 ;\n",
+      "Epoch 80/1000, Cost: 8.9312\n",
+      " and the parameters are [-1.40166528  2.12122545] -2.480588866007672 ;\n",
+      "Epoch 80/1000, Cost: 4.1135\n",
+      " and the parameters are [-1.40167358  2.12150037] -2.480493045384221 ;\n",
+      "Epoch 80/1000, Cost: 4.7009\n",
+      " and the parameters are [-1.4016611   2.12169278] -2.480478171911254 ;\n",
+      "Epoch 80/1000, Cost: 7.8966\n",
+      " and the parameters are [-1.40160559  2.12180564] -2.480530611627326 ;\n",
+      "Epoch 80/1000, Cost: 7.7010\n",
+      " and the parameters are [-1.40165308  2.12181041] -2.480657157012747 ;\n",
+      "Epoch 80/1000, Cost: 7.3097\n",
+      " and the parameters are [-1.40175835  2.1218138 ] -2.480721281773854 ;\n",
+      "Epoch 80/1000, Cost: 4.3965\n",
+      " and the parameters are [-1.40176792  2.12186371] -2.4808043382578364 ;\n",
+      "Epoch 80/1000, Cost: 8.7017\n",
+      " and the parameters are [-1.40176532  2.12193617] -2.48084234669551 ;\n",
+      "Epoch 80/1000, Cost: 6.1713\n",
+      " and the parameters are [-1.40176696  2.1220239 ] -2.480899268511715 ;\n",
+      "Epoch 80/1000, Cost: 7.2248\n",
+      " and the parameters are [-1.40170049  2.12216747] -2.4809541478791557 ;\n",
+      "Epoch 80/1000, Cost: 6.4505\n",
+      " and the parameters are [-1.40170066  2.12214826] -2.481091789807134 ;\n",
+      "Epoch 80/1000, Cost: 4.2252\n",
+      " and the parameters are [-1.40172402  2.12225285] -2.4811403459378094 ;\n",
+      "Epoch 80/1000, Cost: 6.6712\n",
+      " and the parameters are [-1.40183952  2.12234095] -2.4811533627025306 ;\n",
+      "Epoch 80/1000, Cost: 5.5118\n",
+      " and the parameters are [-1.40188434  2.12246077] -2.4811495031186137 ;\n",
+      "Epoch 80/1000, Cost: 5.5244\n",
+      " and the parameters are [-1.40186471  2.12255451] -2.4812239254891915 ;\n",
+      "Epoch 80/1000, Cost: 8.8523\n",
+      " and the parameters are [-1.40198149  2.12249968] -2.481302631133048 ;\n",
+      "Epoch 80/1000, Cost: 6.4322\n",
+      " and the parameters are [-1.40190062  2.12260743] -2.4813873845679555 ;\n",
+      "Epoch 80/1000, Cost: 4.8045\n",
+      " and the parameters are [-1.40198115  2.12265431] -2.48140990809398 ;\n",
+      "Epoch 80/1000, Cost: 9.3321\n",
+      " and the parameters are [-1.40208961  2.12252029] -2.4815775538643576 ;\n",
+      "Epoch 80/1000, Cost: 7.5722\n",
+      " and the parameters are [-1.40202662  2.12269444] -2.4816090154435586 ;\n",
+      "Epoch 80/1000, Cost: 7.5073\n",
+      " and the parameters are [-1.40218154  2.1225493 ] -2.4817326578652694 ;\n",
+      "Epoch 80/1000, Cost: 7.6799\n",
+      " and the parameters are [-1.40239493  2.12231263] -2.4819300012897907 ;\n",
+      "Epoch 80/1000, Cost: 3.4741\n",
+      " and the parameters are [-1.40241165  2.12248273] -2.481895695678701 ;\n",
+      "Epoch 80/1000, Cost: 6.2563\n",
+      " and the parameters are [-1.40240385  2.12250336] -2.482024162791047 ;\n",
+      "Epoch 80/1000, Cost: 5.0577\n",
+      " and the parameters are [-1.40238009  2.12258159] -2.482104597823828 ;\n",
+      "Epoch 80/1000, Cost: 5.5004\n",
+      " and the parameters are [-1.40230036  2.12275892] -2.482124050242023 ;\n",
+      "Epoch 80/1000, Cost: 3.6914\n",
+      " and the parameters are [-1.40228682  2.12287093] -2.482171927907248 ;\n",
+      "Epoch 80/1000, Cost: 4.4393\n",
+      " and the parameters are [-1.4022743   2.12298121] -2.4822237575570036 ;\n",
+      "Epoch 80/1000, Cost: 5.7240\n",
+      " and the parameters are [-1.40230141  2.12300768] -2.482340661724533 ;\n",
+      "Epoch 80/1000, Cost: 5.4918\n",
+      " and the parameters are [-1.40233248  2.12316242] -2.482341228439993 ;\n",
+      "Epoch 80/1000, Cost: 5.7689\n",
+      " and the parameters are [-1.40239343  2.12317787] -2.482421077971048 ;\n",
+      "Epoch 80/1000, Cost: 4.8369\n",
+      " and the parameters are [-1.40248984  2.12319813] -2.4825088981070063 ;\n",
+      "Epoch 80/1000, Cost: 3.8177\n",
+      " and the parameters are [-1.40250511  2.12332377] -2.4825384564157096 ;\n",
+      "Epoch 80/1000, Cost: 4.5733\n",
+      " and the parameters are [-1.40251488  2.12344926] -2.4825898018245804 ;\n",
+      "Epoch 80/1000, Cost: 6.3030\n",
+      " and the parameters are [-1.40257488  2.12341285] -2.4827207301721432 ;\n",
+      "Epoch 80/1000, Cost: 6.2372\n",
+      " and the parameters are [-1.40258314  2.12348181] -2.482799164944043 ;\n",
+      "Epoch 80/1000, Cost: 6.1975\n",
+      " and the parameters are [-1.40271648  2.12344931] -2.482879569196504 ;\n",
+      "Epoch 80/1000, Cost: 5.3189\n",
+      " and the parameters are [-1.4027001   2.12354027] -2.482980313841965 ;\n",
+      "Epoch 80/1000, Cost: 5.3433\n",
+      " and the parameters are [-1.40276662  2.12355989] -2.483091379437029 ;\n",
+      "Epoch 80/1000, Cost: 6.5270\n",
+      " and the parameters are [-1.40287412  2.12355794] -2.483175931690949 ;\n",
+      "Epoch 80/1000, Cost: 5.8405\n",
+      " and the parameters are [-1.40293659  2.12356679] -2.483281078270495 ;\n",
+      "Epoch 80/1000, Cost: 6.4706\n",
+      " and the parameters are [-1.40294945  2.12364216] -2.4833521898291426 ;\n",
+      "Epoch 80/1000, Cost: 5.5208\n",
+      " and the parameters are [-1.4028987   2.12381046] -2.483367518703502 ;\n",
+      "Epoch 80/1000, Cost: 6.9999\n",
+      " and the parameters are [-1.40291988  2.12392899] -2.4834159145613715 ;\n",
+      "Epoch 80/1000, Cost: 4.6563\n",
+      " and the parameters are [-1.40293286  2.12408113] -2.4834325898033893 ;\n",
+      "Epoch 80/1000, Cost: 4.9446\n",
+      " and the parameters are [-1.40299613  2.12407755] -2.4835303077887936 ;\n",
+      "Epoch 80/1000, Cost: 7.7239\n",
+      " and the parameters are [-1.40300892  2.12414252] -2.483614343518058 ;\n",
+      "Epoch 80/1000, Cost: 9.1316\n",
+      " and the parameters are [-1.40296265  2.1242998 ] -2.4836144823932598 ;\n",
+      "Epoch 80/1000, Cost: 6.9878\n",
+      " and the parameters are [-1.4031196   2.12417356] -2.4837628017433757 ;\n",
+      "Epoch 80/1000, Cost: 5.6670\n",
+      " and the parameters are [-1.40306975  2.12416849] -2.4838889176292622 ;\n",
+      "Epoch 80/1000, Cost: 9.4488\n",
+      " and the parameters are [-1.40326371  2.12403776] -2.4839874201461063 ;\n",
+      "Epoch 80/1000, Cost: 7.4999\n",
+      " and the parameters are [-1.40344427  2.12382821] -2.4841752914067885 ;\n",
+      "Epoch 80/1000, Cost: 7.0298\n",
+      " and the parameters are [-1.40348191  2.12390574] -2.4842141931755433 ;\n",
+      "Epoch 80/1000, Cost: 6.0390\n",
+      " and the parameters are [-1.40343779  2.12401977] -2.4842796829320286 ;\n",
+      "Epoch 80/1000, Cost: 7.2079\n",
+      " and the parameters are [-1.40341587  2.124024  ] -2.484448534948588 ;\n",
+      "Epoch 80/1000, Cost: 4.7502\n",
+      " and the parameters are [-1.40344012  2.12426393] -2.4843908734651747 ;\n",
+      "Epoch 80/1000, Cost: 6.1597\n",
+      " and the parameters are [-1.40349435  2.1242903 ] -2.484470086471227 ;\n",
+      "Epoch 80/1000, Cost: 7.3101\n",
+      " and the parameters are [-1.40356682  2.12420502] -2.484646054384166 ;\n",
+      "Epoch 80/1000, Cost: 6.3872\n",
+      " and the parameters are [-1.40358439  2.12421153] -2.4847515153148008 ;\n",
+      "Epoch 80/1000, Cost: 6.2975\n",
+      " and the parameters are [-1.40365188  2.12415515] -2.4848650052297923 ;\n",
+      "Epoch 80/1000, Cost: 5.5321\n",
+      " and the parameters are [-1.40363676  2.1241235 ] -2.4850077370001853 ;\n",
+      "Epoch 80/1000, Cost: 5.9802\n",
+      " and the parameters are [-1.40363868  2.12417396] -2.485119162487431 ;\n",
+      "Epoch 80/1000, Cost: 5.0709\n",
+      " and the parameters are [-1.40368064  2.12423471] -2.4851914440552076 ;\n",
+      "Epoch 80/1000, Cost: 4.7032\n",
+      " and the parameters are [-1.40370595  2.1244208 ] -2.485163670060868 ;\n",
+      "Epoch 80/1000, Cost: 4.7424\n",
+      " and the parameters are [-1.40372642  2.12457321] -2.485143586925507 ;\n",
+      "Epoch 80/1000, Cost: 5.1560\n",
+      " and the parameters are [-1.40376423  2.12469444] -2.485158940107454 ;\n",
+      "Epoch 80/1000, Cost: 7.4797\n",
+      " and the parameters are [-1.40396776  2.1247549 ] -2.48513497138976 ;\n",
+      "Epoch 80/1000, Cost: 5.4915\n",
+      " and the parameters are [-1.40391586  2.12487747] -2.485207732945 ;\n",
+      "Epoch 80/1000, Cost: 7.5384\n",
+      " and the parameters are [-1.40393783  2.12483454] -2.4853398185479194 ;\n",
+      "Epoch 80/1000, Cost: 6.5088\n",
+      " and the parameters are [-1.40397861  2.12484991] -2.4854697817144498 ;\n",
+      "Epoch 80/1000, Cost: 3.6434\n",
+      " and the parameters are [-1.40396886  2.12500042] -2.4854878353647227 ;\n",
+      "Epoch 80/1000, Cost: 7.4313\n",
+      " and the parameters are [-1.40407442  2.12507001] -2.48547225015919 ;\n",
+      "Epoch 80/1000, Cost: 4.4737\n",
+      " and the parameters are [-1.40412872  2.1251095 ] -2.4855236169868333 ;\n",
+      "Epoch 80/1000, Cost: 5.2608\n",
+      " and the parameters are [-1.40420606  2.12524247] -2.485508039715132 ;\n",
+      "Epoch 80/1000, Cost: 7.3557\n",
+      " and the parameters are [-1.40429506  2.12538654] -2.485464766471455 ;\n",
+      "Epoch 80/1000, Cost: 7.0019\n",
+      " and the parameters are [-1.40427886  2.12562395] -2.4853966607380884 ;\n",
+      "Epoch 80/1000, Cost: 6.7759\n",
+      " and the parameters are [-1.40435592  2.12568743] -2.4854322433448877 ;\n",
+      "Epoch 80/1000, Cost: 5.5195\n",
+      " and the parameters are [-1.40435022  2.12576622] -2.4855237281406217 ;\n",
+      "Epoch 80/1000, Cost: 4.9926\n",
+      " and the parameters are [-1.40436499  2.125862  ] -2.4855820443581704 ;\n",
+      "Epoch 80/1000, Cost: 4.7133\n",
+      " and the parameters are [-1.40434501  2.12590278] -2.4856854834045508 ;\n",
+      "Epoch 80/1000, Cost: 7.7589\n",
+      " and the parameters are [-1.40438892  2.12583104] -2.4858660410606372 ;\n",
+      "Epoch 80/1000, Cost: 6.8378\n",
+      " and the parameters are [-1.4044485   2.12575939] -2.4860394200223186 ;\n",
+      "Epoch 80/1000, Cost: 6.8693\n",
+      " and the parameters are [-1.4044662   2.12582463] -2.4861247904679598 ;\n",
+      "Epoch 80/1000, Cost: 5.8669\n",
+      " and the parameters are [-1.40455247  2.1257805 ] -2.486244835680382 ;\n",
+      "Epoch 80/1000, Cost: 5.9609\n",
+      " and the parameters are [-1.40460412  2.12580429] -2.4863227675575788 ;\n",
+      "Epoch 80/1000, Cost: 7.0113\n",
+      " and the parameters are [-1.40457659  2.12578398] -2.4864896781881693 ;\n",
+      "Epoch 80/1000, Cost: 8.3706\n",
+      " and the parameters are [-1.40460034  2.12589692] -2.4864932080507773 ;\n",
+      "Epoch 80/1000, Cost: 6.2813\n",
+      " and the parameters are [-1.40470113  2.12608247] -2.486407810857575 ;\n",
+      "Epoch 80/1000, Cost: 5.8105\n",
+      " and the parameters are [-1.40464974  2.12635646] -2.486308902092626 ;\n",
+      "Epoch 80/1000, Cost: 7.4505\n",
+      " and the parameters are [-1.40478285  2.12634058] -2.486393447705625 ;\n",
+      "Epoch 80/1000, Cost: 4.4841\n",
+      " and the parameters are [-1.40477464  2.12641123] -2.486477873789915 ;\n",
+      "Epoch 80/1000, Cost: 6.6531\n",
+      " and the parameters are [-1.40482762  2.12651888] -2.4865182976440545 ;\n",
+      "Epoch 80/1000, Cost: 5.1641\n",
+      " and the parameters are [-1.40479457  2.12655964] -2.486627605999832 ;\n",
+      "Epoch 80/1000, Cost: 4.8908\n",
+      " and the parameters are [-1.40485705  2.1266815 ] -2.4866344303221433 ;\n",
+      "Epoch 80/1000, Cost: 4.1873\n",
+      " and the parameters are [-1.4048728   2.12685965] -2.486609985585243 ;\n",
+      "Epoch 80/1000, Cost: 6.2832\n",
+      " and the parameters are [-1.40491024  2.12692466] -2.486688195055942 ;\n",
+      "Epoch 80/1000, Cost: 5.9843\n",
+      " and the parameters are [-1.40483204  2.12712986] -2.486719094822734 ;\n",
+      "Epoch 80/1000, Cost: 5.3365\n",
+      " and the parameters are [-1.40483618  2.12713751] -2.486820265671997 ;\n",
+      "Epoch 80/1000, Cost: 6.7367\n",
+      " and the parameters are [-1.4047871  2.1273241] -2.4868475225310904 ;\n",
+      "Epoch 80/1000, Cost: 5.6628\n",
+      " and the parameters are [-1.40484493  2.12745201] -2.486863996922455 ;\n",
+      "Epoch 80/1000, Cost: 7.8040\n",
+      " and the parameters are [-1.40490393  2.12734433] -2.487077020886898 ;\n",
+      "Epoch 80/1000, Cost: 6.5875\n",
+      " and the parameters are [-1.40503407  2.12734901] -2.4871324812342386 ;\n",
+      "Epoch 80/1000, Cost: 4.9575\n",
+      " and the parameters are [-1.40505094  2.12744998] -2.487181140980997 ;\n",
+      "Epoch 80/1000, Cost: 8.4361\n",
+      " and the parameters are [-1.40504574  2.12748466] -2.4872784177232043 ;\n",
+      "Epoch 80/1000, Cost: 7.3291\n",
+      " and the parameters are [-1.40494715  2.12762822] -2.4873652948471503 ;\n",
+      "Epoch 80/1000, Cost: 9.9387\n",
+      " and the parameters are [-1.40514118  2.12740636] -2.4875663047941416 ;\n",
+      "Epoch 80/1000, Cost: 7.3854\n",
+      " and the parameters are [-1.40521478  2.1274145 ] -2.4876520452329065 ;\n",
+      "Epoch 80/1000, Cost: 5.6215\n",
+      " and the parameters are [-1.40525325  2.12753478] -2.487668557916571 ;\n",
+      "Epoch 80/1000, Cost: 5.2750\n",
+      " and the parameters are [-1.40527673  2.12763411] -2.48770057559215 ;\n",
+      "Epoch 80/1000, Cost: 6.8663\n",
+      " and the parameters are [-1.40536364  2.12777022] -2.487684771866968 ;\n",
+      "Epoch 80/1000, Cost: 6.4834\n",
+      " and the parameters are [-1.40547112  2.1277159 ] -2.4878226298632176 ;\n",
+      "Epoch 80/1000, Cost: 5.2569\n",
+      " and the parameters are [-1.40543284  2.12790568] -2.4878219306263696 ;\n",
+      "Epoch 80/1000, Cost: 5.9194\n",
+      " and the parameters are [-1.40549593  2.12794645] -2.4879162865201185 ;\n",
+      "Epoch 80/1000, Cost: 7.0337\n",
+      " and the parameters are [-1.40552436  2.12801447] -2.4879548279200763 ;\n",
+      "Epoch 80/1000, Cost: 7.2455\n",
+      " and the parameters are [-1.40549744  2.1282118 ] -2.4879309404797305 ;\n",
+      "Epoch 80/1000, Cost: 5.0500\n",
+      " and the parameters are [-1.40554633  2.12828855] -2.4879839901039937 ;\n",
+      "Epoch 80/1000, Cost: 7.8169\n",
+      " and the parameters are [-1.40563868  2.12826274] -2.4880892010395304 ;\n",
+      "Epoch 80/1000, Cost: 6.9161\n",
+      " and the parameters are [-1.40571995  2.12817488] -2.488249851794546 ;\n",
+      "Epoch 80/1000, Cost: 8.3451\n",
+      " and the parameters are [-1.40562189  2.12826569] -2.488343250826456 ;\n",
+      "Epoch 80/1000, Cost: 5.8655\n",
+      " and the parameters are [-1.40560718  2.12828617] -2.488459181136346 ;\n",
+      "Epoch 80/1000, Cost: 6.5389\n",
+      " and the parameters are [-1.40564248  2.12847712] -2.488407072183104 ;\n",
+      "Epoch 80/1000, Cost: 4.3781\n",
+      " and the parameters are [-1.40561495  2.12862801] -2.4884397395788374 ;\n",
+      "Epoch 80/1000, Cost: 7.2324\n",
+      " and the parameters are [-1.40563855  2.12859177] -2.488611667505317 ;\n",
+      "Epoch 80/1000, Cost: 6.0166\n",
+      " and the parameters are [-1.40569458  2.12865983] -2.4886520696198637 ;\n",
+      "Epoch 80/1000, Cost: 5.2645\n",
+      " and the parameters are [-1.40578482  2.12860801] -2.488749211667528 ;\n",
+      "Epoch 80/1000, Cost: 6.9707\n",
+      " and the parameters are [-1.40586161  2.12852295] -2.488928263588516 ;\n",
+      "Epoch 80/1000, Cost: 7.1037\n",
+      " and the parameters are [-1.40587518  2.12865181] -2.4889555579676395 ;\n",
+      "Epoch 80/1000, Cost: 5.1425\n",
+      " and the parameters are [-1.40595424  2.12868367] -2.4890299394277107 ;\n",
+      "Epoch 80/1000, Cost: 6.1190\n",
+      " and the parameters are [-1.40607708  2.12871898] -2.4890644438949043 ;\n",
+      "Epoch 80/1000, Cost: 6.7380\n",
+      " and the parameters are [-1.40618961  2.12871375] -2.4891324280964744 ;\n",
+      "Epoch 80/1000, Cost: 7.2081\n",
+      " and the parameters are [-1.40629093  2.12885516] -2.4890790541309933 ;\n",
+      "Epoch 80/1000, Cost: 8.2013\n",
+      " and the parameters are [-1.40639369  2.12875182] -2.4892636357204423 ;\n",
+      "Epoch 80/1000, Cost: 4.6469\n",
+      " and the parameters are [-1.40644155  2.12881211] -2.489313808058464 ;\n",
+      "Epoch 80/1000, Cost: 7.6148\n",
+      " and the parameters are [-1.40654269  2.12877407] -2.489442088873096 ;\n",
+      "Epoch 80/1000, Cost: 7.0697\n",
+      " and the parameters are [-1.40653435  2.1288549 ] -2.4894982523315874 ;\n",
+      "Epoch 80/1000, Cost: 7.5625\n",
+      " and the parameters are [-1.40650724  2.1289201 ] -2.4895534602975355 ;\n",
+      "Epoch 80/1000, Cost: 4.1253\n",
+      " and the parameters are [-1.40648037  2.12909032] -2.489565519438439 ;\n",
+      "Epoch 80/1000, Cost: 8.5318\n",
+      " and the parameters are [-1.40655121  2.12908435] -2.4896724111166395 ;\n",
+      "Epoch 80/1000, Cost: 6.8009\n",
+      " and the parameters are [-1.40669254  2.1290903 ] -2.4896964733467084 ;\n",
+      "Epoch 80/1000, Cost: 6.4979\n",
+      " and the parameters are [-1.40669941  2.12916417] -2.4897813988226027 ;\n",
+      "Epoch 80/1000, Cost: 4.9332\n",
+      " and the parameters are [-1.40679855  2.12941712] -2.4896568890557336 ;\n",
+      "Epoch 90/1000, Cost: 7.6284\n",
+      " and the parameters are [-1.47685093  2.21027771] -2.6134299365728526 ;\n",
+      "Epoch 90/1000, Cost: 2.7737\n",
+      " and the parameters are [-1.47693859  2.21034672] -2.6134304555761156 ;\n",
+      "Epoch 90/1000, Cost: 4.6256\n",
+      " and the parameters are [-1.47695813  2.21046461] -2.6134505243927952 ;\n",
+      "Epoch 90/1000, Cost: 5.3420\n",
+      " and the parameters are [-1.47692417  2.21062883] -2.61347203145185 ;\n",
+      "Epoch 90/1000, Cost: 5.8277\n",
+      " and the parameters are [-1.47710158  2.21058731] -2.6135154123399724 ;\n",
+      "Epoch 90/1000, Cost: 5.5216\n",
+      " and the parameters are [-1.477151    2.21063393] -2.61355074430228 ;\n",
+      "Epoch 90/1000, Cost: 8.0958\n",
+      " and the parameters are [-1.47723737  2.21046198] -2.613765207375778 ;\n",
+      "Epoch 90/1000, Cost: 8.3046\n",
+      " and the parameters are [-1.47733912  2.21040268] -2.6138666071216323 ;\n",
+      "Epoch 90/1000, Cost: 6.5570\n",
+      " and the parameters are [-1.47741954  2.21040502] -2.6139667412281793 ;\n",
+      "Epoch 90/1000, Cost: 6.6196\n",
+      " and the parameters are [-1.47748368  2.21046168] -2.6139999729494465 ;\n",
+      "Epoch 90/1000, Cost: 4.9030\n",
+      " and the parameters are [-1.47753223  2.21044561] -2.614110236022849 ;\n",
+      "Epoch 90/1000, Cost: 7.6145\n",
+      " and the parameters are [-1.47760891  2.21046293] -2.6141613937269965 ;\n",
+      "Epoch 90/1000, Cost: 6.2839\n",
+      " and the parameters are [-1.47764088  2.21053848] -2.6142322948932684 ;\n",
+      "Epoch 90/1000, Cost: 4.5752\n",
+      " and the parameters are [-1.47770053  2.21060889] -2.6142790163185263 ;\n",
+      "Epoch 90/1000, Cost: 8.4869\n",
+      " and the parameters are [-1.47775633  2.21051497] -2.614448272476933 ;\n",
+      "Epoch 90/1000, Cost: 5.9122\n",
+      " and the parameters are [-1.47786131  2.2105109 ] -2.614516619404886 ;\n",
+      "Epoch 90/1000, Cost: 4.0110\n",
+      " and the parameters are [-1.47791188  2.21049457] -2.6146300557952595 ;\n",
+      "Epoch 90/1000, Cost: 7.8021\n",
+      " and the parameters are [-1.47800793  2.21044401] -2.6147111148747304 ;\n",
+      "Epoch 90/1000, Cost: 6.9323\n",
+      " and the parameters are [-1.4780272   2.21037826] -2.6148686235825003 ;\n",
+      "Epoch 90/1000, Cost: 6.4123\n",
+      " and the parameters are [-1.47802424  2.21042286] -2.6149718170345517 ;\n",
+      "Epoch 90/1000, Cost: 5.4961\n",
+      " and the parameters are [-1.47801873  2.21048986] -2.6150362551559887 ;\n",
+      "Epoch 90/1000, Cost: 4.4221\n",
+      " and the parameters are [-1.47806926  2.21062333] -2.615026569362617 ;\n",
+      "Epoch 90/1000, Cost: 8.6886\n",
+      " and the parameters are [-1.47820748  2.21044012] -2.615166140646548 ;\n",
+      "Epoch 90/1000, Cost: 8.2431\n",
+      " and the parameters are [-1.47833231  2.210229  ] -2.6153288680425746 ;\n",
+      "Epoch 90/1000, Cost: 5.5075\n",
+      " and the parameters are [-1.47828368  2.21035906] -2.6153775398754036 ;\n",
+      "Epoch 90/1000, Cost: 3.9377\n",
+      " and the parameters are [-1.47831123  2.210375  ] -2.6154629182419775 ;\n",
+      "Epoch 90/1000, Cost: 5.1905\n",
+      " and the parameters are [-1.47831548  2.210385  ] -2.615566131399504 ;\n",
+      "Epoch 90/1000, Cost: 4.4583\n",
+      " and the parameters are [-1.47828152  2.21057036] -2.61553817924422 ;\n",
+      "Epoch 90/1000, Cost: 4.1451\n",
+      " and the parameters are [-1.47841603  2.21048795] -2.6156441426139216 ;\n",
+      "Epoch 90/1000, Cost: 5.6162\n",
+      " and the parameters are [-1.47846871  2.21048858] -2.6156976683782034 ;\n",
+      "Epoch 90/1000, Cost: 6.6840\n",
+      " and the parameters are [-1.47850154  2.21054374] -2.6157371057555734 ;\n",
+      "Epoch 90/1000, Cost: 3.3895\n",
+      " and the parameters are [-1.47847633  2.21073288] -2.61572219131369 ;\n",
+      "Epoch 90/1000, Cost: 7.1011\n",
+      " and the parameters are [-1.47847575  2.2107254 ] -2.6158388402736286 ;\n",
+      "Epoch 90/1000, Cost: 7.0359\n",
+      " and the parameters are [-1.47853433  2.21064987] -2.6159703943158448 ;\n",
+      "Epoch 90/1000, Cost: 4.4081\n",
+      " and the parameters are [-1.47856014  2.21066886] -2.616061590685964 ;\n",
+      "Epoch 90/1000, Cost: 7.9996\n",
+      " and the parameters are [-1.47848994  2.21063196] -2.6162180142871563 ;\n",
+      "Epoch 90/1000, Cost: 6.5944\n",
+      " and the parameters are [-1.47866947  2.21052862] -2.616356127657618 ;\n",
+      "Epoch 90/1000, Cost: 4.2213\n",
+      " and the parameters are [-1.4786454  2.2107292] -2.6163292678062318 ;\n",
+      "Epoch 90/1000, Cost: 6.2215\n",
+      " and the parameters are [-1.47869637  2.21073538] -2.6164050108672776 ;\n",
+      "Epoch 90/1000, Cost: 9.1963\n",
+      " and the parameters are [-1.47871286  2.21063542] -2.6165831144184772 ;\n",
+      "Epoch 90/1000, Cost: 5.5208\n",
+      " and the parameters are [-1.47875123  2.2107547 ] -2.61657571415327 ;\n",
+      "Epoch 90/1000, Cost: 6.8166\n",
+      " and the parameters are [-1.47881116  2.21082289] -2.6166098171476904 ;\n",
+      "Epoch 90/1000, Cost: 5.6730\n",
+      " and the parameters are [-1.47876499  2.21087347] -2.6167263054051864 ;\n",
+      "Epoch 90/1000, Cost: 5.2321\n",
+      " and the parameters are [-1.47874382  2.21095899] -2.6167593802295346 ;\n",
+      "Epoch 90/1000, Cost: 5.5988\n",
+      " and the parameters are [-1.47872864  2.21101242] -2.6168349865054745 ;\n",
+      "Epoch 90/1000, Cost: 6.5831\n",
+      " and the parameters are [-1.4787756   2.21104581] -2.616924312421269 ;\n",
+      "Epoch 90/1000, Cost: 4.7948\n",
+      " and the parameters are [-1.47879343  2.21122264] -2.6168874260616932 ;\n",
+      "Epoch 90/1000, Cost: 6.5521\n",
+      " and the parameters are [-1.47899309  2.21118112] -2.6169167086664022 ;\n",
+      "Epoch 90/1000, Cost: 5.3200\n",
+      " and the parameters are [-1.47902491  2.21117753] -2.6170420421369354 ;\n",
+      "Epoch 90/1000, Cost: 4.8192\n",
+      " and the parameters are [-1.47898533  2.21122486] -2.6171461423852995 ;\n",
+      "Epoch 90/1000, Cost: 2.8823\n",
+      " and the parameters are [-1.47899481  2.21128662] -2.617209862870218 ;\n",
+      "Epoch 90/1000, Cost: 7.8333\n",
+      " and the parameters are [-1.4791627   2.21122854] -2.6173088368390074 ;\n",
+      "Epoch 90/1000, Cost: 5.4636\n",
+      " and the parameters are [-1.47914718  2.21129153] -2.617395011551265 ;\n",
+      "Epoch 90/1000, Cost: 5.1859\n",
+      " and the parameters are [-1.47914528  2.21129727] -2.6175179625112155 ;\n",
+      "Epoch 90/1000, Cost: 4.8525\n",
+      " and the parameters are [-1.47922211  2.21147574] -2.6174436880550447 ;\n",
+      "Epoch 90/1000, Cost: 4.7743\n",
+      " and the parameters are [-1.47927882  2.21152317] -2.617510275298735 ;\n",
+      "Epoch 90/1000, Cost: 4.5608\n",
+      " and the parameters are [-1.47925872  2.21160867] -2.617541599313154 ;\n",
+      "Epoch 90/1000, Cost: 5.3314\n",
+      " and the parameters are [-1.47932317  2.21158032] -2.617622325619239 ;\n",
+      "Epoch 90/1000, Cost: 7.2460\n",
+      " and the parameters are [-1.47940068  2.21147853] -2.6177868419193926 ;\n",
+      "Epoch 90/1000, Cost: 7.2226\n",
+      " and the parameters are [-1.47949986  2.21145532] -2.6178750743892887 ;\n",
+      "Epoch 90/1000, Cost: 3.9615\n",
+      " and the parameters are [-1.4795175   2.21159231] -2.617885201328435 ;\n",
+      "Epoch 90/1000, Cost: 7.1500\n",
+      " and the parameters are [-1.47941799  2.21170718] -2.6179357761505697 ;\n",
+      "Epoch 90/1000, Cost: 6.6775\n",
+      " and the parameters are [-1.47943609  2.21176651] -2.6180099340302734 ;\n",
+      "Epoch 90/1000, Cost: 6.3262\n",
+      " and the parameters are [-1.47952916  2.2118029 ] -2.6180496439864323 ;\n",
+      "Epoch 90/1000, Cost: 4.9367\n",
+      " and the parameters are [-1.47946981  2.21184871] -2.6181729008426857 ;\n",
+      "Epoch 90/1000, Cost: 7.4921\n",
+      " and the parameters are [-1.4794603   2.21189787] -2.6182937112242435 ;\n",
+      "Epoch 90/1000, Cost: 5.7785\n",
+      " and the parameters are [-1.47946111  2.21206807] -2.618306442136944 ;\n",
+      "Epoch 90/1000, Cost: 6.4801\n",
+      " and the parameters are [-1.47953742  2.21210614] -2.6183699288141 ;\n",
+      "Epoch 90/1000, Cost: 7.7136\n",
+      " and the parameters are [-1.47950745  2.21209401] -2.6185170984478683 ;\n",
+      "Epoch 90/1000, Cost: 4.4459\n",
+      " and the parameters are [-1.4794905   2.21218919] -2.618569280115662 ;\n",
+      "Epoch 90/1000, Cost: 6.7356\n",
+      " and the parameters are [-1.47944777  2.2122751 ] -2.618660988419879 ;\n",
+      "Epoch 90/1000, Cost: 5.6245\n",
+      " and the parameters are [-1.47945823  2.21238813] -2.6186999302665264 ;\n",
+      "Epoch 90/1000, Cost: 5.2085\n",
+      " and the parameters are [-1.47940305  2.21244253] -2.6188021929285474 ;\n",
+      "Epoch 90/1000, Cost: 7.4234\n",
+      " and the parameters are [-1.4793456   2.21260857] -2.618817977803434 ;\n",
+      "Epoch 90/1000, Cost: 5.9605\n",
+      " and the parameters are [-1.47935451  2.21273651] -2.6188272301669424 ;\n",
+      "Epoch 90/1000, Cost: 5.7610\n",
+      " and the parameters are [-1.47929677  2.21287096] -2.618898905083829 ;\n",
+      "Epoch 90/1000, Cost: 5.9290\n",
+      " and the parameters are [-1.47926142  2.21297334] -2.6189580319185066 ;\n",
+      "Epoch 90/1000, Cost: 5.4575\n",
+      " and the parameters are [-1.47930188  2.21308547] -2.6189854969111437 ;\n",
+      "Epoch 90/1000, Cost: 5.6819\n",
+      " and the parameters are [-1.47932754  2.21312823] -2.6190628506276177 ;\n",
+      "Epoch 90/1000, Cost: 6.7585\n",
+      " and the parameters are [-1.4793227   2.21308096] -2.6192122338085704 ;\n",
+      "Epoch 90/1000, Cost: 4.9765\n",
+      " and the parameters are [-1.47937081  2.21316313] -2.6192357916089333 ;\n",
+      "Epoch 90/1000, Cost: 4.0449\n",
+      " and the parameters are [-1.47933623  2.21335211] -2.619225719003361 ;\n",
+      "Epoch 90/1000, Cost: 4.5470\n",
+      " and the parameters are [-1.47931132  2.21349305] -2.619269551526755 ;\n",
+      "Epoch 90/1000, Cost: 6.5500\n",
+      " and the parameters are [-1.47939828  2.2134549 ] -2.619362001430454 ;\n",
+      "Epoch 90/1000, Cost: 4.0280\n",
+      " and the parameters are [-1.47942429  2.2135984 ] -2.6193352585951857 ;\n",
+      "Epoch 90/1000, Cost: 4.9219\n",
+      " and the parameters are [-1.47938633  2.21371157] -2.6194150707116792 ;\n",
+      "Epoch 90/1000, Cost: 4.7386\n",
+      " and the parameters are [-1.47940683  2.21386454] -2.6194115163764673 ;\n",
+      "Epoch 90/1000, Cost: 6.8943\n",
+      " and the parameters are [-1.47941165  2.21388701] -2.619513097563974 ;\n",
+      "Epoch 90/1000, Cost: 4.3312\n",
+      " and the parameters are [-1.47940804  2.21402548] -2.6195162603062143 ;\n",
+      "Epoch 90/1000, Cost: 5.9578\n",
+      " and the parameters are [-1.47939395  2.21402124] -2.6196553468233703 ;\n",
+      "Epoch 90/1000, Cost: 5.7684\n",
+      " and the parameters are [-1.47949063  2.21411319] -2.6196211935819353 ;\n",
+      "Epoch 90/1000, Cost: 6.9514\n",
+      " and the parameters are [-1.4795633   2.21424025] -2.619596755044509 ;\n",
+      "Epoch 90/1000, Cost: 6.8681\n",
+      " and the parameters are [-1.47970757  2.21417264] -2.619706412329676 ;\n",
+      "Epoch 90/1000, Cost: 10.5310\n",
+      " and the parameters are [-1.4798043   2.21402141] -2.6198115677350406 ;\n",
+      "Epoch 90/1000, Cost: 5.0170\n",
+      " and the parameters are [-1.47988349  2.21406438] -2.6198581472344493 ;\n",
+      "Epoch 90/1000, Cost: 7.3488\n",
+      " and the parameters are [-1.47998523  2.21413672] -2.6198249010199497 ;\n",
+      "Epoch 90/1000, Cost: 7.6714\n",
+      " and the parameters are [-1.48001955  2.21415781] -2.6198759630666264 ;\n",
+      "Epoch 90/1000, Cost: 3.6963\n",
+      " and the parameters are [-1.48000979  2.21431764] -2.6198875484833706 ;\n",
+      "Epoch 90/1000, Cost: 4.9976\n",
+      " and the parameters are [-1.48001827  2.21431355] -2.620007550540404 ;\n",
+      "Epoch 90/1000, Cost: 6.8935\n",
+      " and the parameters are [-1.48005834  2.21440292] -2.619998969578244 ;\n",
+      "Epoch 90/1000, Cost: 4.8253\n",
+      " and the parameters are [-1.48002998  2.21451851] -2.620066723605002 ;\n",
+      "Epoch 90/1000, Cost: 6.0028\n",
+      " and the parameters are [-1.48002461  2.21461884] -2.6201061230535907 ;\n",
+      "Epoch 90/1000, Cost: 5.8271\n",
+      " and the parameters are [-1.48007303  2.21472091] -2.620116474289282 ;\n",
+      "Epoch 90/1000, Cost: 7.4582\n",
+      " and the parameters are [-1.48014701  2.21481853] -2.6200932270772266 ;\n",
+      "Epoch 90/1000, Cost: 6.4086\n",
+      " and the parameters are [-1.48005744  2.21490957] -2.6201863816635362 ;\n",
+      "Epoch 90/1000, Cost: 8.0728\n",
+      " and the parameters are [-1.48012956  2.2149797 ] -2.6202214194515823 ;\n",
+      "Epoch 90/1000, Cost: 4.5724\n",
+      " and the parameters are [-1.4801253   2.21511002] -2.62024589882245 ;\n",
+      "Epoch 90/1000, Cost: 6.7698\n",
+      " and the parameters are [-1.48009594  2.21527272] -2.6202631276821418 ;\n",
+      "Epoch 90/1000, Cost: 5.6712\n",
+      " and the parameters are [-1.48010007  2.21529986] -2.6203473750967525 ;\n",
+      "Epoch 90/1000, Cost: 6.6223\n",
+      " and the parameters are [-1.48016089  2.21527422] -2.62046732859535 ;\n",
+      "Epoch 90/1000, Cost: 6.9030\n",
+      " and the parameters are [-1.48028837  2.21518417] -2.620585442151452 ;\n",
+      "Epoch 90/1000, Cost: 3.8608\n",
+      " and the parameters are [-1.48031944  2.21527137] -2.6206129654322883 ;\n",
+      "Epoch 90/1000, Cost: 5.8800\n",
+      " and the parameters are [-1.4803394   2.21532181] -2.6206876641581567 ;\n",
+      "Epoch 90/1000, Cost: 8.5482\n",
+      " and the parameters are [-1.48038563  2.21517236] -2.6208693305574378 ;\n",
+      "Epoch 90/1000, Cost: 6.9318\n",
+      " and the parameters are [-1.48049444  2.21509297] -2.6210244380828356 ;\n",
+      "Epoch 90/1000, Cost: 4.6697\n",
+      " and the parameters are [-1.48044469  2.21518796] -2.62111939744933 ;\n",
+      "Epoch 90/1000, Cost: 8.6399\n",
+      " and the parameters are [-1.4806442   2.21503968] -2.621281974256232 ;\n",
+      "Epoch 90/1000, Cost: 6.2744\n",
+      " and the parameters are [-1.48063058  2.21515636] -2.621309846075932 ;\n",
+      "Epoch 90/1000, Cost: 6.2064\n",
+      " and the parameters are [-1.48067003  2.21522162] -2.6213321353224694 ;\n",
+      "Epoch 90/1000, Cost: 4.2640\n",
+      " and the parameters are [-1.48071492  2.21541638] -2.6212748276440743 ;\n",
+      "Epoch 90/1000, Cost: 5.1494\n",
+      " and the parameters are [-1.48073503  2.21544112] -2.621386281968106 ;\n",
+      "Epoch 90/1000, Cost: 5.5885\n",
+      " and the parameters are [-1.48076759  2.21564688] -2.621326543782032 ;\n",
+      "Epoch 90/1000, Cost: 8.6263\n",
+      " and the parameters are [-1.48078212  2.21565107] -2.621400053275999 ;\n",
+      "Epoch 90/1000, Cost: 6.7869\n",
+      " and the parameters are [-1.48082211  2.21565906] -2.6215050429870015 ;\n",
+      "Epoch 90/1000, Cost: 5.6529\n",
+      " and the parameters are [-1.48085575  2.21564589] -2.6216404865206697 ;\n",
+      "Epoch 90/1000, Cost: 5.7296\n",
+      " and the parameters are [-1.48099635  2.21562184] -2.6217210513648816 ;\n",
+      "Epoch 90/1000, Cost: 4.0885\n",
+      " and the parameters are [-1.48098985  2.2157285 ] -2.6217574212525814 ;\n",
+      "Epoch 90/1000, Cost: 6.9664\n",
+      " and the parameters are [-1.4810622  2.2158183] -2.6217824179298908 ;\n",
+      "Epoch 90/1000, Cost: 5.6789\n",
+      " and the parameters are [-1.4811715   2.21583611] -2.6218296621701724 ;\n",
+      "Epoch 90/1000, Cost: 7.3281\n",
+      " and the parameters are [-1.48118673  2.2157833 ] -2.621963207341404 ;\n",
+      "Epoch 90/1000, Cost: 4.7011\n",
+      " and the parameters are [-1.48118109  2.2159268 ] -2.6219745282436797 ;\n",
+      "Epoch 90/1000, Cost: 6.3580\n",
+      " and the parameters are [-1.48123238  2.21595013] -2.622076506259779 ;\n",
+      "Epoch 90/1000, Cost: 5.0615\n",
+      " and the parameters are [-1.48122983  2.21605611] -2.6221067584526465 ;\n",
+      "Epoch 90/1000, Cost: 7.4474\n",
+      " and the parameters are [-1.48124683  2.21604442] -2.6222326138124457 ;\n",
+      "Epoch 90/1000, Cost: 5.0005\n",
+      " and the parameters are [-1.4813859   2.21615446] -2.622177742363209 ;\n",
+      "Epoch 90/1000, Cost: 6.9492\n",
+      " and the parameters are [-1.48140667  2.21624493] -2.622201784982456 ;\n",
+      "Epoch 90/1000, Cost: 5.0150\n",
+      " and the parameters are [-1.48141474  2.21626296] -2.6223170799389455 ;\n",
+      "Epoch 90/1000, Cost: 5.7044\n",
+      " and the parameters are [-1.48149684  2.2161753 ] -2.6224697790027487 ;\n",
+      "Epoch 90/1000, Cost: 4.4436\n",
+      " and the parameters are [-1.48152968  2.21626588] -2.622510721846096 ;\n",
+      "Epoch 90/1000, Cost: 4.2112\n",
+      " and the parameters are [-1.48150698  2.21645108] -2.62249651383897 ;\n",
+      "Epoch 90/1000, Cost: 7.1645\n",
+      " and the parameters are [-1.48150891  2.21644524] -2.6226102340445037 ;\n",
+      "Epoch 90/1000, Cost: 5.9157\n",
+      " and the parameters are [-1.48150463  2.2164555 ] -2.622718766081316 ;\n",
+      "Epoch 90/1000, Cost: 5.3078\n",
+      " and the parameters are [-1.4815004   2.21662516] -2.622717247448995 ;\n",
+      "Epoch 90/1000, Cost: 5.8660\n",
+      " and the parameters are [-1.48150909  2.21675647] -2.622752782525304 ;\n",
+      "Epoch 90/1000, Cost: 6.2408\n",
+      " and the parameters are [-1.481516    2.21688796] -2.622768001963239 ;\n",
+      "Epoch 90/1000, Cost: 7.1831\n",
+      " and the parameters are [-1.48169257  2.21681228] -2.622854775235476 ;\n",
+      "Epoch 90/1000, Cost: 5.8323\n",
+      " and the parameters are [-1.48167132  2.21690861] -2.622939956194891 ;\n",
+      "Epoch 90/1000, Cost: 4.5844\n",
+      " and the parameters are [-1.48168507  2.21710085] -2.6228871146735204 ;\n",
+      "Epoch 90/1000, Cost: 4.7975\n",
+      " and the parameters are [-1.48170485  2.21724416] -2.6228763006899074 ;\n",
+      "Epoch 90/1000, Cost: 5.0589\n",
+      " and the parameters are [-1.48173567  2.21728552] -2.622938443055059 ;\n",
+      "Epoch 90/1000, Cost: 4.2639\n",
+      " and the parameters are [-1.48179    2.2174033] -2.6229362199289126 ;\n",
+      "Epoch 90/1000, Cost: 7.3807\n",
+      " and the parameters are [-1.48182595  2.21743589] -2.623017687426556 ;\n",
+      "Epoch 90/1000, Cost: 5.0473\n",
+      " and the parameters are [-1.48181532  2.2175348 ] -2.623058973924415 ;\n",
+      "Epoch 90/1000, Cost: 5.0756\n",
+      " and the parameters are [-1.48185629  2.21768304] -2.623037374914235 ;\n",
+      "Epoch 90/1000, Cost: 6.8447\n",
+      " and the parameters are [-1.48185517  2.21761585] -2.6232246147152805 ;\n",
+      "Epoch 90/1000, Cost: 6.5109\n",
+      " and the parameters are [-1.48202327  2.21755382] -2.6232826990158182 ;\n",
+      "Epoch 90/1000, Cost: 4.6941\n",
+      " and the parameters are [-1.48209913  2.21759074] -2.6233145229180534 ;\n",
+      "Epoch 90/1000, Cost: 5.7220\n",
+      " and the parameters are [-1.48205918  2.21767487] -2.6233761291693485 ;\n",
+      "Epoch 90/1000, Cost: 5.5467\n",
+      " and the parameters are [-1.48213557  2.21768105] -2.623444613118726 ;\n",
+      "Epoch 90/1000, Cost: 3.7680\n",
+      " and the parameters are [-1.48214017  2.21784194] -2.623447475605504 ;\n",
+      "Epoch 90/1000, Cost: 6.5968\n",
+      " and the parameters are [-1.48222313  2.21787673] -2.623461534670936 ;\n",
+      "Epoch 90/1000, Cost: 7.5120\n",
+      " and the parameters are [-1.48230807  2.21790586] -2.62353201991853 ;\n",
+      "Epoch 90/1000, Cost: 4.4888\n",
+      " and the parameters are [-1.48225972  2.21808828] -2.6235487781812177 ;\n",
+      "Epoch 90/1000, Cost: 6.4768\n",
+      " and the parameters are [-1.4822874   2.21813847] -2.6236400077215847 ;\n",
+      "Epoch 90/1000, Cost: 6.3368\n",
+      " and the parameters are [-1.48235469  2.21818566] -2.6237157911841487 ;\n",
+      "Epoch 90/1000, Cost: 4.4077\n",
+      " and the parameters are [-1.48239611  2.21829438] -2.6237438500475174 ;\n",
+      "Epoch 90/1000, Cost: 5.9074\n",
+      " and the parameters are [-1.48251108  2.21833743] -2.623769445818894 ;\n",
+      "Epoch 90/1000, Cost: 4.4149\n",
+      " and the parameters are [-1.4825345   2.21843721] -2.6238023352653084 ;\n",
+      "Epoch 90/1000, Cost: 4.7667\n",
+      " and the parameters are [-1.48257745  2.21843574] -2.6239073051625272 ;\n",
+      "Epoch 90/1000, Cost: 5.1106\n",
+      " and the parameters are [-1.48250373  2.21854561] -2.6239684507565935 ;\n",
+      "Epoch 90/1000, Cost: 7.0756\n",
+      " and the parameters are [-1.48260536  2.21839998] -2.624138569916365 ;\n",
+      "Epoch 90/1000, Cost: 6.1005\n",
+      " and the parameters are [-1.48255709  2.21843209] -2.6242854613572537 ;\n",
+      "Epoch 90/1000, Cost: 7.4948\n",
+      " and the parameters are [-1.48254924  2.21834983] -2.624474209732814 ;\n",
+      "Epoch 90/1000, Cost: 6.5464\n",
+      " and the parameters are [-1.48261477  2.21830041] -2.6245858682765775 ;\n",
+      "Epoch 90/1000, Cost: 5.3418\n",
+      " and the parameters are [-1.48266003  2.21841497] -2.6246052666683304 ;\n",
+      "Epoch 90/1000, Cost: 5.9830\n",
+      " and the parameters are [-1.48278732  2.21851527] -2.6245806565111907 ;\n",
+      "Epoch 90/1000, Cost: 5.4744\n",
+      " and the parameters are [-1.48284277  2.21857323] -2.6246452612700084 ;\n",
+      "Epoch 90/1000, Cost: 5.6001\n",
+      " and the parameters are [-1.48284694  2.21862724] -2.624722658644938 ;\n",
+      "Epoch 90/1000, Cost: 6.2257\n",
+      " and the parameters are [-1.4829127   2.21874093] -2.6247208364252756 ;\n",
+      "Epoch 90/1000, Cost: 4.5088\n",
+      " and the parameters are [-1.48289813  2.21882231] -2.6247933078957058 ;\n",
+      "Epoch 90/1000, Cost: 6.8399\n",
+      " and the parameters are [-1.4830538   2.21879598] -2.6248442269461445 ;\n",
+      "Epoch 90/1000, Cost: 6.2725\n",
+      " and the parameters are [-1.48316812  2.21874587] -2.6249611748128343 ;\n",
+      "Epoch 90/1000, Cost: 5.4072\n",
+      " and the parameters are [-1.48330475  2.21867548] -2.62505064983638 ;\n",
+      "Epoch 90/1000, Cost: 4.1878\n",
+      " and the parameters are [-1.48326197  2.21891195] -2.6250177797288057 ;\n",
+      "Epoch 90/1000, Cost: 6.8113\n",
+      " and the parameters are [-1.48341656  2.21885914] -2.6251019245445524 ;\n",
+      "Epoch 90/1000, Cost: 5.8009\n",
+      " and the parameters are [-1.48354397  2.21887946] -2.6251500601487323 ;\n",
+      "Epoch 90/1000, Cost: 5.0076\n",
+      " and the parameters are [-1.48357179  2.21895795] -2.625195237845553 ;\n",
+      "Epoch 90/1000, Cost: 7.6793\n",
+      " and the parameters are [-1.48339974  2.21901069] -2.625355194730326 ;\n",
+      "Epoch 90/1000, Cost: 6.5144\n",
+      " and the parameters are [-1.48341064  2.21899174] -2.6255133476164363 ;\n",
+      "Epoch 90/1000, Cost: 7.9461\n",
+      " and the parameters are [-1.48355754  2.21878784] -2.625699167425464 ;\n",
+      "Epoch 90/1000, Cost: 5.2888\n",
+      " and the parameters are [-1.48355425  2.21887989] -2.625744067699967 ;\n",
+      "Epoch 90/1000, Cost: 7.0803\n",
+      " and the parameters are [-1.48379611  2.21871153] -2.6258869060628047 ;\n",
+      "Epoch 90/1000, Cost: 4.4284\n",
+      " and the parameters are [-1.48376961  2.21880227] -2.6259424232111797 ;\n",
+      "Epoch 90/1000, Cost: 7.0092\n",
+      " and the parameters are [-1.48384165  2.21876733] -2.6260505148364017 ;\n",
+      "Epoch 90/1000, Cost: 10.4209\n",
+      " and the parameters are [-1.48402582  2.21854597] -2.626201533329728 ;\n",
+      "Epoch 90/1000, Cost: 6.9295\n",
+      " and the parameters are [-1.48398879  2.21855707] -2.6263715791248377 ;\n",
+      "Epoch 90/1000, Cost: 6.2953\n",
+      " and the parameters are [-1.48412771  2.21851908] -2.626391772852321 ;\n",
+      "Epoch 90/1000, Cost: 5.7856\n",
+      " and the parameters are [-1.48412468  2.21858771] -2.626474787124709 ;\n",
+      "Epoch 90/1000, Cost: 5.3799\n",
+      " and the parameters are [-1.48420679  2.2187166 ] -2.6264668298552567 ;\n",
+      "Epoch 90/1000, Cost: 6.1158\n",
+      " and the parameters are [-1.4842417  2.2186998] -2.626552047138551 ;\n",
+      "Epoch 100/1000, Cost: 5.3494\n",
+      " and the parameters are [-1.5477658   2.29261832] -2.7392161843758345 ;\n",
+      "Epoch 100/1000, Cost: 4.6713\n",
+      " and the parameters are [-1.54787829  2.29263021] -2.7392576165878704 ;\n",
+      "Epoch 100/1000, Cost: 3.1042\n",
+      " and the parameters are [-1.54786953  2.29278547] -2.739249338181277 ;\n",
+      "Epoch 100/1000, Cost: 4.8405\n",
+      " and the parameters are [-1.54798938  2.29278521] -2.739292747335756 ;\n",
+      "Epoch 100/1000, Cost: 5.6850\n",
+      " and the parameters are [-1.54795627  2.29294009] -2.739311537797368 ;\n",
+      "Epoch 100/1000, Cost: 4.4797\n",
+      " and the parameters are [-1.54803135  2.29297636] -2.739360487960863 ;\n",
+      "Epoch 100/1000, Cost: 4.3015\n",
+      " and the parameters are [-1.54805352  2.29306329] -2.739397144985654 ;\n",
+      "Epoch 100/1000, Cost: 4.2631\n",
+      " and the parameters are [-1.54810091  2.29306349] -2.7394760458294796 ;\n",
+      "Epoch 100/1000, Cost: 5.3449\n",
+      " and the parameters are [-1.5480939   2.29322152] -2.73948489750423 ;\n",
+      "Epoch 100/1000, Cost: 4.6826\n",
+      " and the parameters are [-1.54811653  2.29329092] -2.739545171280968 ;\n",
+      "Epoch 100/1000, Cost: 6.2429\n",
+      " and the parameters are [-1.54812906  2.2933029 ] -2.739671285447419 ;\n",
+      "Epoch 100/1000, Cost: 5.2894\n",
+      " and the parameters are [-1.54809434  2.29340731] -2.7397097278717664 ;\n",
+      "Epoch 100/1000, Cost: 4.6095\n",
+      " and the parameters are [-1.54814078  2.29340143] -2.73980001503137 ;\n",
+      "Epoch 100/1000, Cost: 6.1511\n",
+      " and the parameters are [-1.54829807  2.2933364 ] -2.7398559480782656 ;\n",
+      "Epoch 100/1000, Cost: 4.1794\n",
+      " and the parameters are [-1.54834891  2.29344969] -2.739853671603756 ;\n",
+      "Epoch 100/1000, Cost: 6.5051\n",
+      " and the parameters are [-1.54839695  2.29347527] -2.7399251534840277 ;\n",
+      "Epoch 100/1000, Cost: 4.7643\n",
+      " and the parameters are [-1.54840299  2.29358897] -2.739949518569633 ;\n",
+      "Epoch 100/1000, Cost: 5.3515\n",
+      " and the parameters are [-1.54842954  2.29364287] -2.740015960139789 ;\n",
+      "Epoch 100/1000, Cost: 7.3860\n",
+      " and the parameters are [-1.54842857  2.29369539] -2.7400445373387905 ;\n",
+      "Epoch 100/1000, Cost: 8.6190\n",
+      " and the parameters are [-1.54856035  2.29350749] -2.740222855967136 ;\n",
+      "Epoch 100/1000, Cost: 8.1536\n",
+      " and the parameters are [-1.5485119   2.29357886] -2.7402690717243723 ;\n",
+      "Epoch 100/1000, Cost: 4.4110\n",
+      " and the parameters are [-1.54854873  2.29365063] -2.740297387525773 ;\n",
+      "Epoch 100/1000, Cost: 3.9237\n",
+      " and the parameters are [-1.54863335  2.29368606] -2.7403296403910455 ;\n",
+      "Epoch 100/1000, Cost: 4.6544\n",
+      " and the parameters are [-1.54866784  2.29370205] -2.7404190397072377 ;\n",
+      "Epoch 100/1000, Cost: 5.6117\n",
+      " and the parameters are [-1.54872375  2.29364892] -2.74056915901103 ;\n",
+      "Epoch 100/1000, Cost: 4.0318\n",
+      " and the parameters are [-1.54874767  2.29363238] -2.7406858816769097 ;\n",
+      "Epoch 100/1000, Cost: 4.1440\n",
+      " and the parameters are [-1.54890141  2.29357044] -2.7407628597481084 ;\n",
+      "Epoch 100/1000, Cost: 7.5692\n",
+      " and the parameters are [-1.54885088  2.29366095] -2.7408019183322705 ;\n",
+      "Epoch 100/1000, Cost: 4.2101\n",
+      " and the parameters are [-1.54887957  2.29365721] -2.7408929837088802 ;\n",
+      "Epoch 100/1000, Cost: 5.1684\n",
+      " and the parameters are [-1.54885012  2.29378001] -2.7409290031196174 ;\n",
+      "Epoch 100/1000, Cost: 7.0209\n",
+      " and the parameters are [-1.54882769  2.29380545] -2.741015893171428 ;\n",
+      "Epoch 100/1000, Cost: 7.5486\n",
+      " and the parameters are [-1.54882201  2.29371136] -2.741203649241023 ;\n",
+      "Epoch 100/1000, Cost: 5.4741\n",
+      " and the parameters are [-1.54888864  2.29374137] -2.7412535820822246 ;\n",
+      "Epoch 100/1000, Cost: 4.7363\n",
+      " and the parameters are [-1.54893948  2.29367399] -2.741404789301216 ;\n",
+      "Epoch 100/1000, Cost: 4.5285\n",
+      " and the parameters are [-1.54896059  2.29371572] -2.7414570970471868 ;\n",
+      "Epoch 100/1000, Cost: 6.4888\n",
+      " and the parameters are [-1.549052    2.29367988] -2.7415433970793712 ;\n",
+      "Epoch 100/1000, Cost: 6.0731\n",
+      " and the parameters are [-1.54898823  2.29386702] -2.7415158582484764 ;\n",
+      "Epoch 100/1000, Cost: 3.9201\n",
+      " and the parameters are [-1.54905391  2.29393528] -2.74154032175691 ;\n",
+      "Epoch 100/1000, Cost: 3.3738\n",
+      " and the parameters are [-1.5490442   2.29399113] -2.7416125842117984 ;\n",
+      "Epoch 100/1000, Cost: 6.3302\n",
+      " and the parameters are [-1.54907294  2.29394294] -2.7417479013425785 ;\n",
+      "Epoch 100/1000, Cost: 4.2528\n",
+      " and the parameters are [-1.54904645  2.29409422] -2.741750456406631 ;\n",
+      "Epoch 100/1000, Cost: 6.4714\n",
+      " and the parameters are [-1.54906026  2.2941109 ] -2.741846895415207 ;\n",
+      "Epoch 100/1000, Cost: 8.6220\n",
+      " and the parameters are [-1.54910366  2.29393506] -2.7420707357532352 ;\n",
+      "Epoch 100/1000, Cost: 6.8399\n",
+      " and the parameters are [-1.54911002  2.2940392 ] -2.74208113527826 ;\n",
+      "Epoch 100/1000, Cost: 5.2452\n",
+      " and the parameters are [-1.5491617   2.29409567] -2.7421252351496865 ;\n",
+      "Epoch 100/1000, Cost: 6.4820\n",
+      " and the parameters are [-1.54923415  2.29415651] -2.7421628118174133 ;\n",
+      "Epoch 100/1000, Cost: 4.4370\n",
+      " and the parameters are [-1.54930084  2.29420207] -2.7422056592774315 ;\n",
+      "Epoch 100/1000, Cost: 4.7593\n",
+      " and the parameters are [-1.54931607  2.29423701] -2.742293145547583 ;\n",
+      "Epoch 100/1000, Cost: 5.1695\n",
+      " and the parameters are [-1.54929671  2.29429279] -2.7423607279777844 ;\n",
+      "Epoch 100/1000, Cost: 8.7390\n",
+      " and the parameters are [-1.54934635  2.2944267 ] -2.7422624171183263 ;\n",
+      "Epoch 100/1000, Cost: 3.9787\n",
+      " and the parameters are [-1.54934744  2.29454851] -2.7422775593719093 ;\n",
+      "Epoch 100/1000, Cost: 7.9010\n",
+      " and the parameters are [-1.5493354   2.29465624] -2.7423153636297872 ;\n",
+      "Epoch 100/1000, Cost: 10.0448\n",
+      " and the parameters are [-1.54944495  2.29433657] -2.7425860601487404 ;\n",
+      "Epoch 100/1000, Cost: 5.0873\n",
+      " and the parameters are [-1.54949021  2.29439382] -2.742641183677991 ;\n",
+      "Epoch 100/1000, Cost: 4.1941\n",
+      " and the parameters are [-1.54948589  2.29450587] -2.7426735853110604 ;\n",
+      "Epoch 100/1000, Cost: 5.1747\n",
+      " and the parameters are [-1.54955226  2.29459198] -2.742687724974822 ;\n",
+      "Epoch 100/1000, Cost: 7.3926\n",
+      " and the parameters are [-1.54960898  2.29463621] -2.742744589179269 ;\n",
+      "Epoch 100/1000, Cost: 7.4947\n",
+      " and the parameters are [-1.54960815  2.29461339] -2.7428395285396254 ;\n",
+      "Epoch 100/1000, Cost: 5.6816\n",
+      " and the parameters are [-1.54976422  2.29461196] -2.7428965526769167 ;\n",
+      "Epoch 100/1000, Cost: 5.8916\n",
+      " and the parameters are [-1.54969204  2.29474827] -2.7429496696642826 ;\n",
+      "Epoch 100/1000, Cost: 7.4801\n",
+      " and the parameters are [-1.54980231  2.29486253] -2.74292480418158 ;\n",
+      "Epoch 100/1000, Cost: 4.0462\n",
+      " and the parameters are [-1.54979239  2.2949479 ] -2.7429703453539047 ;\n",
+      "Epoch 100/1000, Cost: 3.9586\n",
+      " and the parameters are [-1.54981027  2.29506878] -2.7429837171684563 ;\n",
+      "Epoch 100/1000, Cost: 4.8972\n",
+      " and the parameters are [-1.54981972  2.2951557 ] -2.7430198889817805 ;\n",
+      "Epoch 100/1000, Cost: 8.5366\n",
+      " and the parameters are [-1.54979697  2.29504575] -2.7432034944821346 ;\n",
+      "Epoch 100/1000, Cost: 5.3216\n",
+      " and the parameters are [-1.54979247  2.29509134] -2.743258749187138 ;\n",
+      "Epoch 100/1000, Cost: 5.1061\n",
+      " and the parameters are [-1.54984193  2.29533969] -2.743170564815727 ;\n",
+      "Epoch 100/1000, Cost: 7.9625\n",
+      " and the parameters are [-1.54999238  2.29526062] -2.743264396185418 ;\n",
+      "Epoch 100/1000, Cost: 6.7004\n",
+      " and the parameters are [-1.55002482  2.29528188] -2.7433457795979717 ;\n",
+      "Epoch 100/1000, Cost: 5.4340\n",
+      " and the parameters are [-1.54996218  2.29544886] -2.7433627141003263 ;\n",
+      "Epoch 100/1000, Cost: 6.5559\n",
+      " and the parameters are [-1.55001196  2.29552584] -2.743383478017492 ;\n",
+      "Epoch 100/1000, Cost: 3.1368\n",
+      " and the parameters are [-1.55004345  2.29559233] -2.743427788889007 ;\n",
+      "Epoch 100/1000, Cost: 4.1802\n",
+      " and the parameters are [-1.55003073  2.29570148] -2.743448805931397 ;\n",
+      "Epoch 100/1000, Cost: 10.3017\n",
+      " and the parameters are [-1.5500033   2.29570717] -2.743492331187886 ;\n",
+      "Epoch 100/1000, Cost: 3.7399\n",
+      " and the parameters are [-1.55000582  2.29583844] -2.7435028631130005 ;\n",
+      "Epoch 100/1000, Cost: 4.0525\n",
+      " and the parameters are [-1.55002551  2.29593585] -2.7435278501995 ;\n",
+      "Epoch 100/1000, Cost: 5.9272\n",
+      " and the parameters are [-1.55013026  2.29594384] -2.7435578333174915 ;\n",
+      "Epoch 100/1000, Cost: 3.1634\n",
+      " and the parameters are [-1.55014198  2.29606742] -2.743566950660678 ;\n",
+      "Epoch 100/1000, Cost: 4.9849\n",
+      " and the parameters are [-1.55022084  2.29607608] -2.7436104081355057 ;\n",
+      "Epoch 100/1000, Cost: 5.7974\n",
+      " and the parameters are [-1.55034973  2.29602324] -2.7436872235074703 ;\n",
+      "Epoch 100/1000, Cost: 5.1423\n",
+      " and the parameters are [-1.55043381  2.29605297] -2.7437315471566133 ;\n",
+      "Epoch 100/1000, Cost: 6.6416\n",
+      " and the parameters are [-1.55050529  2.29602935] -2.7438484944090495 ;\n",
+      "Epoch 100/1000, Cost: 5.0787\n",
+      " and the parameters are [-1.55050778  2.29608695] -2.7439201023841107 ;\n",
+      "Epoch 100/1000, Cost: 6.0650\n",
+      " and the parameters are [-1.55056873  2.29616473] -2.7439365676079435 ;\n",
+      "Epoch 100/1000, Cost: 5.9829\n",
+      " and the parameters are [-1.55060616  2.29616929] -2.7440058225508763 ;\n",
+      "Epoch 100/1000, Cost: 4.7260\n",
+      " and the parameters are [-1.55067579  2.29629512] -2.7439967307751716 ;\n",
+      "Epoch 100/1000, Cost: 4.2867\n",
+      " and the parameters are [-1.55068045  2.29638682] -2.744022706475831 ;\n",
+      "Epoch 100/1000, Cost: 7.7987\n",
+      " and the parameters are [-1.55078497  2.2964577 ] -2.74403179573504 ;\n",
+      "Epoch 100/1000, Cost: 3.5565\n",
+      " and the parameters are [-1.55072219  2.29659273] -2.744056978042179 ;\n",
+      "Epoch 100/1000, Cost: 10.3964\n",
+      " and the parameters are [-1.5507123   2.29634018] -2.7443438772962203 ;\n",
+      "Epoch 100/1000, Cost: 5.8947\n",
+      " and the parameters are [-1.55067214  2.29641671] -2.7444100037185697 ;\n",
+      "Epoch 100/1000, Cost: 5.0045\n",
+      " and the parameters are [-1.55070529  2.29650941] -2.744430991173235 ;\n",
+      "Epoch 100/1000, Cost: 5.3952\n",
+      " and the parameters are [-1.55066535  2.29670989] -2.7444172130718223 ;\n",
+      "Epoch 100/1000, Cost: 6.3243\n",
+      " and the parameters are [-1.55068023  2.29682259] -2.7444500300896784 ;\n",
+      "Epoch 100/1000, Cost: 6.4034\n",
+      " and the parameters are [-1.55079337  2.29669097] -2.7445902509726254 ;\n",
+      "Epoch 100/1000, Cost: 7.7004\n",
+      " and the parameters are [-1.55070243  2.2969026 ] -2.744607590234311 ;\n",
+      "Epoch 100/1000, Cost: 6.5121\n",
+      " and the parameters are [-1.55080723  2.29693295] -2.744645357170188 ;\n",
+      "Epoch 100/1000, Cost: 3.6381\n",
+      " and the parameters are [-1.55083007  2.29698393] -2.744711656543555 ;\n",
+      "Epoch 100/1000, Cost: 6.5115\n",
+      " and the parameters are [-1.55082623  2.29702886] -2.7447749058322493 ;\n",
+      "Epoch 100/1000, Cost: 4.6878\n",
+      " and the parameters are [-1.55077839  2.29711712] -2.744857729647292 ;\n",
+      "Epoch 100/1000, Cost: 5.3388\n",
+      " and the parameters are [-1.55086837  2.29710999] -2.74493993823166 ;\n",
+      "Epoch 100/1000, Cost: 4.0506\n",
+      " and the parameters are [-1.55088933  2.29713987] -2.7450214790891896 ;\n",
+      "Epoch 100/1000, Cost: 9.4503\n",
+      " and the parameters are [-1.55086007  2.29705825] -2.7451817522604105 ;\n",
+      "Epoch 100/1000, Cost: 5.6364\n",
+      " and the parameters are [-1.55090003  2.29709093] -2.745235948336666 ;\n",
+      "Epoch 100/1000, Cost: 4.0137\n",
+      " and the parameters are [-1.55100817  2.29709656] -2.745290384019404 ;\n",
+      "Epoch 100/1000, Cost: 5.8269\n",
+      " and the parameters are [-1.5511121   2.29714392] -2.745297967870719 ;\n",
+      "Epoch 100/1000, Cost: 5.1851\n",
+      " and the parameters are [-1.55110965  2.29723467] -2.745328066215904 ;\n",
+      "Epoch 100/1000, Cost: 7.6597\n",
+      " and the parameters are [-1.55112656  2.2973398 ] -2.7453491907285414 ;\n",
+      "Epoch 100/1000, Cost: 5.3510\n",
+      " and the parameters are [-1.55115627  2.29730651] -2.7454675594951135 ;\n",
+      "Epoch 100/1000, Cost: 4.4218\n",
+      " and the parameters are [-1.55124101  2.2973457 ] -2.745507906526573 ;\n",
+      "Epoch 100/1000, Cost: 4.6876\n",
+      " and the parameters are [-1.55127773  2.29738861] -2.7455558664318858 ;\n",
+      "Epoch 100/1000, Cost: 4.7713\n",
+      " and the parameters are [-1.55144013  2.29729668] -2.7456584760830727 ;\n",
+      "Epoch 100/1000, Cost: 6.0665\n",
+      " and the parameters are [-1.55143922  2.29738347] -2.7456877565331044 ;\n",
+      "Epoch 100/1000, Cost: 7.1662\n",
+      " and the parameters are [-1.55141216  2.29738748] -2.745785562709057 ;\n",
+      "Epoch 100/1000, Cost: 5.5044\n",
+      " and the parameters are [-1.55150423  2.29735821] -2.745874271875628 ;\n",
+      "Epoch 100/1000, Cost: 5.6082\n",
+      " and the parameters are [-1.55150963  2.29732918] -2.745966413964316 ;\n",
+      "Epoch 100/1000, Cost: 5.2333\n",
+      " and the parameters are [-1.55166907  2.29736938] -2.7459772973389103 ;\n",
+      "Epoch 100/1000, Cost: 6.0456\n",
+      " and the parameters are [-1.55169848  2.29751401] -2.7459233888979795 ;\n",
+      "Epoch 100/1000, Cost: 6.7404\n",
+      " and the parameters are [-1.55176841  2.29751556] -2.746014540550748 ;\n",
+      "Epoch 100/1000, Cost: 5.9034\n",
+      " and the parameters are [-1.55182127  2.29768494] -2.745943861163901 ;\n",
+      "Epoch 100/1000, Cost: 3.2097\n",
+      " and the parameters are [-1.55188177  2.2977418 ] -2.745960907311223 ;\n",
+      "Epoch 100/1000, Cost: 5.2941\n",
+      " and the parameters are [-1.55187683  2.2978308 ] -2.7459799667338474 ;\n",
+      "Epoch 100/1000, Cost: 4.6538\n",
+      " and the parameters are [-1.55189299  2.29784308] -2.7460787685834016 ;\n",
+      "Epoch 100/1000, Cost: 7.5548\n",
+      " and the parameters are [-1.55189068  2.29779877] -2.7462289655873353 ;\n",
+      "Epoch 100/1000, Cost: 6.4033\n",
+      " and the parameters are [-1.55183241  2.29779314] -2.746342614920062 ;\n",
+      "Epoch 100/1000, Cost: 7.9344\n",
+      " and the parameters are [-1.55188474  2.29779937] -2.7464275493489887 ;\n",
+      "Epoch 100/1000, Cost: 5.4174\n",
+      " and the parameters are [-1.55196513  2.29781617] -2.746503664618917 ;\n",
+      "Epoch 100/1000, Cost: 5.2478\n",
+      " and the parameters are [-1.55198269  2.29790446] -2.746544934412577 ;\n",
+      "Epoch 100/1000, Cost: 6.0904\n",
+      " and the parameters are [-1.55202006  2.29790654] -2.7466194673766573 ;\n",
+      "Epoch 100/1000, Cost: 5.5596\n",
+      " and the parameters are [-1.55198394  2.29811367] -2.746591866842111 ;\n",
+      "Epoch 100/1000, Cost: 6.3363\n",
+      " and the parameters are [-1.55210458  2.29806574] -2.746649372199545 ;\n",
+      "Epoch 100/1000, Cost: 8.1438\n",
+      " and the parameters are [-1.55222348  2.2980125 ] -2.7467474114197756 ;\n",
+      "Epoch 100/1000, Cost: 8.9069\n",
+      " and the parameters are [-1.55227386  2.29805624] -2.7467975682778816 ;\n",
+      "Epoch 100/1000, Cost: 3.8091\n",
+      " and the parameters are [-1.55223857  2.29810983] -2.7468706855281826 ;\n",
+      "Epoch 100/1000, Cost: 4.8787\n",
+      " and the parameters are [-1.55224672  2.29818567] -2.746939919395815 ;\n",
+      "Epoch 100/1000, Cost: 5.8835\n",
+      " and the parameters are [-1.55232322  2.29828793] -2.7469001466196095 ;\n",
+      "Epoch 100/1000, Cost: 6.9001\n",
+      " and the parameters are [-1.55234674  2.29818185] -2.747094179196639 ;\n",
+      "Epoch 100/1000, Cost: 7.3590\n",
+      " and the parameters are [-1.55225076  2.29842593] -2.747054305390054 ;\n",
+      "Epoch 100/1000, Cost: 4.3530\n",
+      " and the parameters are [-1.55221908  2.29854207] -2.747107337773321 ;\n",
+      "Epoch 100/1000, Cost: 5.7029\n",
+      " and the parameters are [-1.55226918  2.29847595] -2.747191807730002 ;\n",
+      "Epoch 100/1000, Cost: 6.0652\n",
+      " and the parameters are [-1.55227692  2.29842627] -2.7473566488170214 ;\n",
+      "Epoch 100/1000, Cost: 4.5295\n",
+      " and the parameters are [-1.55231063  2.29846126] -2.747416356628078 ;\n",
+      "Epoch 100/1000, Cost: 6.2079\n",
+      " and the parameters are [-1.55232035  2.29841816] -2.747527288565819 ;\n",
+      "Epoch 100/1000, Cost: 4.9978\n",
+      " and the parameters are [-1.55235802  2.29843161] -2.747584247974712 ;\n",
+      "Epoch 100/1000, Cost: 5.0085\n",
+      " and the parameters are [-1.55242372  2.29846084] -2.7476309782081256 ;\n",
+      "Epoch 100/1000, Cost: 3.6745\n",
+      " and the parameters are [-1.55243071  2.29852629] -2.747693305073033 ;\n",
+      "Epoch 100/1000, Cost: 10.0574\n",
+      " and the parameters are [-1.55250611  2.29840768] -2.7478364181625623 ;\n",
+      "Epoch 100/1000, Cost: 6.6163\n",
+      " and the parameters are [-1.55253352  2.29844138] -2.747917787470469 ;\n",
+      "Epoch 100/1000, Cost: 7.2617\n",
+      " and the parameters are [-1.55260807  2.29841291] -2.747997034763445 ;\n",
+      "Epoch 100/1000, Cost: 5.7480\n",
+      " and the parameters are [-1.55271286  2.2983746 ] -2.748086168079099 ;\n",
+      "Epoch 100/1000, Cost: 5.6315\n",
+      " and the parameters are [-1.55273524  2.29831787] -2.748230608219922 ;\n",
+      "Epoch 100/1000, Cost: 7.1706\n",
+      " and the parameters are [-1.55274451  2.29832771] -2.748336970660855 ;\n",
+      "Epoch 100/1000, Cost: 5.4641\n",
+      " and the parameters are [-1.55283387  2.29823718] -2.748464622762512 ;\n",
+      "Epoch 100/1000, Cost: 5.4899\n",
+      " and the parameters are [-1.55289346  2.29838518] -2.7484303275439497 ;\n",
+      "Epoch 100/1000, Cost: 3.3924\n",
+      " and the parameters are [-1.55289117  2.29855435] -2.7484067006998645 ;\n",
+      "Epoch 100/1000, Cost: 6.4049\n",
+      " and the parameters are [-1.55301952  2.29838803] -2.748572842276897 ;\n",
+      "Epoch 100/1000, Cost: 5.5059\n",
+      " and the parameters are [-1.55308986  2.29830847] -2.748708315760653 ;\n",
+      "Epoch 100/1000, Cost: 4.1460\n",
+      " and the parameters are [-1.55305723  2.29839457] -2.7487675788399315 ;\n",
+      "Epoch 100/1000, Cost: 5.3387\n",
+      " and the parameters are [-1.5530661   2.29859022] -2.748756040692384 ;\n",
+      "Epoch 100/1000, Cost: 7.7441\n",
+      " and the parameters are [-1.55311161  2.29848336] -2.7489204501574176 ;\n",
+      "Epoch 100/1000, Cost: 7.3217\n",
+      " and the parameters are [-1.5532544   2.29831308] -2.749056623239069 ;\n",
+      "Epoch 100/1000, Cost: 4.8249\n",
+      " and the parameters are [-1.55329738  2.29827476] -2.749185126106018 ;\n",
+      "Epoch 100/1000, Cost: 5.1509\n",
+      " and the parameters are [-1.55331955  2.29846471] -2.7491430805361627 ;\n",
+      "Epoch 100/1000, Cost: 5.0305\n",
+      " and the parameters are [-1.55340291  2.29855734] -2.7491340970835183 ;\n",
+      "Epoch 100/1000, Cost: 4.3286\n",
+      " and the parameters are [-1.55338902  2.2986745 ] -2.749183929763636 ;\n",
+      "Epoch 100/1000, Cost: 6.6648\n",
+      " and the parameters are [-1.55350642  2.29856289] -2.749286694998718 ;\n",
+      "Epoch 100/1000, Cost: 4.7198\n",
+      " and the parameters are [-1.5535304   2.29864172] -2.749332903022253 ;\n",
+      "Epoch 100/1000, Cost: 4.5308\n",
+      " and the parameters are [-1.55353052  2.29885534] -2.7492913347847705 ;\n",
+      "Epoch 100/1000, Cost: 2.6561\n",
+      " and the parameters are [-1.55354822  2.29892087] -2.7493242513505116 ;\n",
+      "Epoch 100/1000, Cost: 7.4325\n",
+      " and the parameters are [-1.55356083  2.29898874] -2.7493587968344824 ;\n",
+      "Epoch 100/1000, Cost: 6.1569\n",
+      " and the parameters are [-1.55351918  2.29900213] -2.7494698068828085 ;\n",
+      "Epoch 100/1000, Cost: 5.6840\n",
+      " and the parameters are [-1.55349579  2.29901151] -2.749562491286358 ;\n",
+      "Epoch 100/1000, Cost: 6.6228\n",
+      " and the parameters are [-1.55352056  2.29909845] -2.749576700865722 ;\n",
+      "Epoch 100/1000, Cost: 4.7371\n",
+      " and the parameters are [-1.55360661  2.29904942] -2.749688800586929 ;\n",
+      "Epoch 100/1000, Cost: 6.9809\n",
+      " and the parameters are [-1.55365511  2.29909939] -2.7497423407426194 ;\n",
+      "Epoch 100/1000, Cost: 4.2248\n",
+      " and the parameters are [-1.5536166   2.29920345] -2.7497865293839427 ;\n",
+      "Epoch 100/1000, Cost: 6.6106\n",
+      " and the parameters are [-1.55372082  2.29927925] -2.7497785488896658 ;\n",
+      "Epoch 100/1000, Cost: 4.6174\n",
+      " and the parameters are [-1.5537161   2.29929611] -2.7498868052404752 ;\n",
+      "Epoch 100/1000, Cost: 4.4100\n",
+      " and the parameters are [-1.55373406  2.29936829] -2.7499354795364312 ;\n",
+      "Epoch 100/1000, Cost: 4.6764\n",
+      " and the parameters are [-1.55377658  2.2993968 ] -2.7499888285936396 ;\n",
+      "Epoch 100/1000, Cost: 8.1997\n",
+      " and the parameters are [-1.55390623  2.29924374] -2.750154320172638 ;\n",
+      "Epoch 100/1000, Cost: 6.1489\n",
+      " and the parameters are [-1.55391734  2.29924747] -2.7502911091946305 ;\n",
+      "Epoch 100/1000, Cost: 4.3240\n",
+      " and the parameters are [-1.5539604   2.29933366] -2.7503253849501337 ;\n",
+      "Epoch 100/1000, Cost: 5.6179\n",
+      " and the parameters are [-1.55394345  2.29957196] -2.7502780191646186 ;\n",
+      "Epoch 100/1000, Cost: 4.6958\n",
+      " and the parameters are [-1.5539705   2.29954057] -2.7504016482031868 ;\n",
+      "Epoch 100/1000, Cost: 4.9027\n",
+      " and the parameters are [-1.55397884  2.2997538 ] -2.7503397600814035 ;\n",
+      "Epoch 100/1000, Cost: 4.3243\n",
+      " and the parameters are [-1.55400942  2.29983477] -2.750386137439532 ;\n",
+      "Epoch 100/1000, Cost: 5.5687\n",
+      " and the parameters are [-1.55401054  2.29989195] -2.7504407246793616 ;\n",
+      "Epoch 100/1000, Cost: 5.7269\n",
+      " and the parameters are [-1.55400796  2.2999742 ] -2.7504827770687137 ;\n",
+      "Epoch 100/1000, Cost: 6.5657\n",
+      " and the parameters are [-1.5542223   2.29997629] -2.75048487531864 ;\n",
+      "Epoch 100/1000, Cost: 3.7138\n",
+      " and the parameters are [-1.55426681  2.3000956 ] -2.750475670519229 ;\n",
+      "Epoch 100/1000, Cost: 5.6020\n",
+      " and the parameters are [-1.55431196  2.30018668] -2.7505003583611938 ;\n",
+      "Epoch 100/1000, Cost: 5.4617\n",
+      " and the parameters are [-1.55437143  2.30014846] -2.750600931134213 ;\n",
+      "Epoch 100/1000, Cost: 5.8827\n",
+      " and the parameters are [-1.55447468  2.30015472] -2.7506546922025032 ;\n",
+      "Epoch 100/1000, Cost: 6.7247\n",
+      " and the parameters are [-1.55447222  2.30019533] -2.750743499520008 ;\n",
+      "Epoch 100/1000, Cost: 5.8314\n",
+      " and the parameters are [-1.55441729  2.30030113] -2.7508126517507048 ;\n",
+      "Epoch 100/1000, Cost: 5.3691\n",
+      " and the parameters are [-1.55439756  2.30027217] -2.7509648656760057 ;\n",
+      "Epoch 100/1000, Cost: 4.4541\n",
+      " and the parameters are [-1.55443164  2.30035275] -2.750983114918675 ;\n",
+      "Epoch 100/1000, Cost: 5.6541\n",
+      " and the parameters are [-1.55459295  2.30037502] -2.7509995508825584 ;\n",
+      "Epoch 100/1000, Cost: 6.7889\n",
+      " and the parameters are [-1.55457323  2.30048067] -2.751045413115087 ;\n",
+      "Epoch 110/1000, Cost: 5.2208\n",
+      " and the parameters are [-1.61290331  2.36864316] -2.8543365254995465 ;\n",
+      "Epoch 110/1000, Cost: 5.3977\n",
+      " and the parameters are [-1.61291724  2.3686669 ] -2.854387692443739 ;\n",
+      "Epoch 110/1000, Cost: 4.6225\n",
+      " and the parameters are [-1.61290881  2.36876984] -2.8544241947336486 ;\n",
+      "Epoch 110/1000, Cost: 3.1011\n",
+      " and the parameters are [-1.61292977  2.36882181] -2.8544718581972788 ;\n",
+      "Epoch 110/1000, Cost: 6.2304\n",
+      " and the parameters are [-1.61299908  2.36880178] -2.8545454105508936 ;\n",
+      "Epoch 110/1000, Cost: 4.8454\n",
+      " and the parameters are [-1.61302778  2.36880536] -2.8546466532453265 ;\n",
+      "Epoch 110/1000, Cost: 8.0427\n",
+      " and the parameters are [-1.61302236  2.36886899] -2.8546574073175077 ;\n",
+      "Epoch 110/1000, Cost: 4.2739\n",
+      " and the parameters are [-1.61304315  2.36884559] -2.8547765659630913 ;\n",
+      "Epoch 110/1000, Cost: 5.0419\n",
+      " and the parameters are [-1.61308995  2.36895859] -2.8547915719603303 ;\n",
+      "Epoch 110/1000, Cost: 6.8811\n",
+      " and the parameters are [-1.61309506  2.36894552] -2.854898413780466 ;\n",
+      "Epoch 110/1000, Cost: 6.6160\n",
+      " and the parameters are [-1.61300309  2.36909102] -2.8549263178505155 ;\n",
+      "Epoch 110/1000, Cost: 8.1166\n",
+      " and the parameters are [-1.61315529  2.36899854] -2.8550175080496234 ;\n",
+      "Epoch 110/1000, Cost: 4.5745\n",
+      " and the parameters are [-1.61319982  2.36913346] -2.8550074387059143 ;\n",
+      "Epoch 110/1000, Cost: 5.0662\n",
+      " and the parameters are [-1.61319951  2.36916882] -2.8551006419277836 ;\n",
+      "Epoch 110/1000, Cost: 4.9173\n",
+      " and the parameters are [-1.61317785  2.36916952] -2.855214945016127 ;\n",
+      "Epoch 110/1000, Cost: 7.4743\n",
+      " and the parameters are [-1.6132378   2.36902171] -2.855396225766914 ;\n",
+      "Epoch 110/1000, Cost: 5.4934\n",
+      " and the parameters are [-1.6133502   2.36907275] -2.8553898907536333 ;\n",
+      "Epoch 110/1000, Cost: 8.9300\n",
+      " and the parameters are [-1.61335229  2.36911477] -2.8554359772667586 ;\n",
+      "Epoch 110/1000, Cost: 4.6163\n",
+      " and the parameters are [-1.61331497  2.36919295] -2.855493547209193 ;\n",
+      "Epoch 110/1000, Cost: 5.3271\n",
+      " and the parameters are [-1.61347652  2.36909181] -2.8555733708325577 ;\n",
+      "Epoch 110/1000, Cost: 5.8773\n",
+      " and the parameters are [-1.61362957  2.36900093] -2.8556714204473495 ;\n",
+      "Epoch 110/1000, Cost: 5.9683\n",
+      " and the parameters are [-1.61377377  2.3689827 ] -2.8557081492996246 ;\n",
+      "Epoch 110/1000, Cost: 4.2921\n",
+      " and the parameters are [-1.61378535  2.36911904] -2.8556876493614602 ;\n",
+      "Epoch 110/1000, Cost: 4.1088\n",
+      " and the parameters are [-1.6137509   2.36923326] -2.8557371450646096 ;\n",
+      "Epoch 110/1000, Cost: 5.5213\n",
+      " and the parameters are [-1.61380811  2.36931213] -2.8557415564269357 ;\n",
+      "Epoch 110/1000, Cost: 6.3041\n",
+      " and the parameters are [-1.61375247  2.36937014] -2.8557867115479794 ;\n",
+      "Epoch 110/1000, Cost: 7.8190\n",
+      " and the parameters are [-1.61377041  2.36940446] -2.855850752384216 ;\n",
+      "Epoch 110/1000, Cost: 7.2259\n",
+      " and the parameters are [-1.61386077  2.36922948] -2.8560219130267717 ;\n",
+      "Epoch 110/1000, Cost: 7.5120\n",
+      " and the parameters are [-1.61395042  2.36908379] -2.856143647576581 ;\n",
+      "Epoch 110/1000, Cost: 3.5439\n",
+      " and the parameters are [-1.61398211  2.36911778] -2.85620422387546 ;\n",
+      "Epoch 110/1000, Cost: 6.8598\n",
+      " and the parameters are [-1.61392381  2.36918666] -2.8562783724938785 ;\n",
+      "Epoch 110/1000, Cost: 5.4074\n",
+      " and the parameters are [-1.61394029  2.36918684] -2.85637701563181 ;\n",
+      "Epoch 110/1000, Cost: 7.6618\n",
+      " and the parameters are [-1.61388627  2.36922529] -2.8564877119481693 ;\n",
+      "Epoch 110/1000, Cost: 8.0310\n",
+      " and the parameters are [-1.61389491  2.36904948] -2.8566922051892236 ;\n",
+      "Epoch 110/1000, Cost: 4.2186\n",
+      " and the parameters are [-1.61396138  2.36911319] -2.8567195357968744 ;\n",
+      "Epoch 110/1000, Cost: 2.6856\n",
+      " and the parameters are [-1.61403302  2.36915693] -2.85673694819823 ;\n",
+      "Epoch 110/1000, Cost: 4.8291\n",
+      " and the parameters are [-1.61409235  2.36917745] -2.856807098847402 ;\n",
+      "Epoch 110/1000, Cost: 6.3152\n",
+      " and the parameters are [-1.61420626  2.36920926] -2.8568065695655593 ;\n",
+      "Epoch 110/1000, Cost: 3.9597\n",
+      " and the parameters are [-1.61428192  2.36925621] -2.8568403657683357 ;\n",
+      "Epoch 110/1000, Cost: 4.7993\n",
+      " and the parameters are [-1.61429196  2.36937323] -2.8568447173128977 ;\n",
+      "Epoch 110/1000, Cost: 3.9518\n",
+      " and the parameters are [-1.61430375  2.36945554] -2.8568777226807356 ;\n",
+      "Epoch 110/1000, Cost: 5.7083\n",
+      " and the parameters are [-1.61443499  2.3693363 ] -2.857001777878285 ;\n",
+      "Epoch 110/1000, Cost: 4.1272\n",
+      " and the parameters are [-1.61441182  2.36942968] -2.8570193742794636 ;\n",
+      "Epoch 110/1000, Cost: 3.5425\n",
+      " and the parameters are [-1.61442487  2.36952372] -2.8570454849141225 ;\n",
+      "Epoch 110/1000, Cost: 5.7428\n",
+      " and the parameters are [-1.61459218  2.36940708] -2.8571458739937303 ;\n",
+      "Epoch 110/1000, Cost: 4.7834\n",
+      " and the parameters are [-1.61457046  2.36953423] -2.8571539731994067 ;\n",
+      "Epoch 110/1000, Cost: 4.4458\n",
+      " and the parameters are [-1.61449953  2.36968819] -2.8571989954595387 ;\n",
+      "Epoch 110/1000, Cost: 4.1587\n",
+      " and the parameters are [-1.61450712  2.36980653] -2.857221703064876 ;\n",
+      "Epoch 110/1000, Cost: 6.1310\n",
+      " and the parameters are [-1.61458823  2.36980415] -2.8573040458811936 ;\n",
+      "Epoch 110/1000, Cost: 4.3776\n",
+      " and the parameters are [-1.61461987  2.36978774] -2.8574138546351286 ;\n",
+      "Epoch 110/1000, Cost: 6.9804\n",
+      " and the parameters are [-1.61465159  2.36980298] -2.8574555901173095 ;\n",
+      "Epoch 110/1000, Cost: 9.3759\n",
+      " and the parameters are [-1.61468683  2.36991302] -2.85744065309306 ;\n",
+      "Epoch 110/1000, Cost: 6.7590\n",
+      " and the parameters are [-1.6147812   2.36998026] -2.8574102601093077 ;\n",
+      "Epoch 110/1000, Cost: 6.1086\n",
+      " and the parameters are [-1.61480681  2.37004676] -2.857448609169408 ;\n",
+      "Epoch 110/1000, Cost: 5.2315\n",
+      " and the parameters are [-1.61491107  2.36993666] -2.8575749959110905 ;\n",
+      "Epoch 110/1000, Cost: 7.1338\n",
+      " and the parameters are [-1.6150521  2.3699233] -2.8576133753351125 ;\n",
+      "Epoch 110/1000, Cost: 4.6170\n",
+      " and the parameters are [-1.61506169  2.3699067 ] -2.857741031045058 ;\n",
+      "Epoch 110/1000, Cost: 4.9670\n",
+      " and the parameters are [-1.61501914  2.37006692] -2.8577558447706313 ;\n",
+      "Epoch 110/1000, Cost: 5.7590\n",
+      " and the parameters are [-1.61501913  2.37006349] -2.857860614863711 ;\n",
+      "Epoch 110/1000, Cost: 5.3437\n",
+      " and the parameters are [-1.61505388  2.370135  ] -2.8579004138314272 ;\n",
+      "Epoch 110/1000, Cost: 7.0396\n",
+      " and the parameters are [-1.61510038  2.37008942] -2.857991467191338 ;\n",
+      "Epoch 110/1000, Cost: 4.0815\n",
+      " and the parameters are [-1.61518521  2.37004368] -2.8580780989206835 ;\n",
+      "Epoch 110/1000, Cost: 5.4836\n",
+      " and the parameters are [-1.61519759  2.37015363] -2.858103039191176 ;\n",
+      "Epoch 110/1000, Cost: 5.8334\n",
+      " and the parameters are [-1.61533106  2.37019567] -2.858112898281398 ;\n",
+      "Epoch 110/1000, Cost: 4.0917\n",
+      " and the parameters are [-1.6153613   2.37018981] -2.858197527212899 ;\n",
+      "Epoch 110/1000, Cost: 8.7989\n",
+      " and the parameters are [-1.61545708  2.3701104 ] -2.8582990586326704 ;\n",
+      "Epoch 110/1000, Cost: 4.5291\n",
+      " and the parameters are [-1.61539582  2.37017095] -2.8583923746998807 ;\n",
+      "Epoch 110/1000, Cost: 5.2259\n",
+      " and the parameters are [-1.61542327  2.37022982] -2.8584498965380187 ;\n",
+      "Epoch 110/1000, Cost: 5.2288\n",
+      " and the parameters are [-1.61546504  2.37028386] -2.8584958972105787 ;\n",
+      "Epoch 110/1000, Cost: 7.3345\n",
+      " and the parameters are [-1.61563611  2.37019865] -2.8585643006870853 ;\n",
+      "Epoch 110/1000, Cost: 4.5496\n",
+      " and the parameters are [-1.61562598  2.37030805] -2.858590036279923 ;\n",
+      "Epoch 110/1000, Cost: 4.4336\n",
+      " and the parameters are [-1.61564745  2.37044509] -2.858585451000335 ;\n",
+      "Epoch 110/1000, Cost: 5.4409\n",
+      " and the parameters are [-1.61566467  2.37048349] -2.8586467503751334 ;\n",
+      "Epoch 110/1000, Cost: 6.5199\n",
+      " and the parameters are [-1.61577357  2.3704228 ] -2.858720074991614 ;\n",
+      "Epoch 110/1000, Cost: 6.9153\n",
+      " and the parameters are [-1.61589728  2.37033072] -2.858826156161112 ;\n",
+      "Epoch 110/1000, Cost: 4.3028\n",
+      " and the parameters are [-1.61584923  2.37043071] -2.8588596178587253 ;\n",
+      "Epoch 110/1000, Cost: 5.1488\n",
+      " and the parameters are [-1.61581794  2.37055376] -2.8588929384994652 ;\n",
+      "Epoch 110/1000, Cost: 6.1961\n",
+      " and the parameters are [-1.6158053   2.37061771] -2.8589060847923022 ;\n",
+      "Epoch 110/1000, Cost: 5.9318\n",
+      " and the parameters are [-1.61587864  2.37060354] -2.858983479215287 ;\n",
+      "Epoch 110/1000, Cost: 3.6718\n",
+      " and the parameters are [-1.6159346   2.37063104] -2.8590456095861754 ;\n",
+      "Epoch 110/1000, Cost: 5.4676\n",
+      " and the parameters are [-1.61589928  2.37069315] -2.8590994472323232 ;\n",
+      "Epoch 110/1000, Cost: 5.9044\n",
+      " and the parameters are [-1.61594799  2.37077999] -2.8591145651708927 ;\n",
+      "Epoch 110/1000, Cost: 3.3695\n",
+      " and the parameters are [-1.61592488  2.37092901] -2.8591137244646987 ;\n",
+      "Epoch 110/1000, Cost: 4.0546\n",
+      " and the parameters are [-1.61589737  2.37101043] -2.8591666088966674 ;\n",
+      "Epoch 110/1000, Cost: 5.9002\n",
+      " and the parameters are [-1.61587324  2.3711654 ] -2.859175896938646 ;\n",
+      "Epoch 110/1000, Cost: 3.5018\n",
+      " and the parameters are [-1.6158646  2.3712588] -2.859203773845759 ;\n",
+      "Epoch 110/1000, Cost: 5.5153\n",
+      " and the parameters are [-1.61598599  2.37128711] -2.8592051826857356 ;\n",
+      "Epoch 110/1000, Cost: 3.7967\n",
+      " and the parameters are [-1.61598905  2.37141242] -2.8592026186020565 ;\n",
+      "Epoch 110/1000, Cost: 2.9728\n",
+      " and the parameters are [-1.61598797  2.37147153] -2.8592602799790012 ;\n",
+      "Epoch 110/1000, Cost: 5.8139\n",
+      " and the parameters are [-1.61613118  2.3713141 ] -2.859423466067996 ;\n",
+      "Epoch 110/1000, Cost: 6.0842\n",
+      " and the parameters are [-1.61617185  2.37136087] -2.8594700672121416 ;\n",
+      "Epoch 110/1000, Cost: 6.7223\n",
+      " and the parameters are [-1.61609214  2.37150281] -2.8594532388228058 ;\n",
+      "Epoch 110/1000, Cost: 5.8168\n",
+      " and the parameters are [-1.61610165  2.37147557] -2.8595723575355216 ;\n",
+      "Epoch 110/1000, Cost: 5.6980\n",
+      " and the parameters are [-1.61611973  2.37154976] -2.8596174174935913 ;\n",
+      "Epoch 110/1000, Cost: 3.8204\n",
+      " and the parameters are [-1.61616567  2.37160263] -2.859651747984015 ;\n",
+      "Epoch 110/1000, Cost: 5.1906\n",
+      " and the parameters are [-1.61613275  2.37161952] -2.8597746673856355 ;\n",
+      "Epoch 110/1000, Cost: 5.4204\n",
+      " and the parameters are [-1.6161675   2.37162945] -2.8598650727521613 ;\n",
+      "Epoch 110/1000, Cost: 5.2935\n",
+      " and the parameters are [-1.6161884   2.37159315] -2.859947126918803 ;\n",
+      "Epoch 110/1000, Cost: 5.5551\n",
+      " and the parameters are [-1.61617571  2.37175629] -2.8599245818487455 ;\n",
+      "Epoch 110/1000, Cost: 4.4250\n",
+      " and the parameters are [-1.61619984  2.37174513] -2.8600270014720146 ;\n",
+      "Epoch 110/1000, Cost: 4.7439\n",
+      " and the parameters are [-1.61616776  2.37184522] -2.860061864273292 ;\n",
+      "Epoch 110/1000, Cost: 8.1128\n",
+      " and the parameters are [-1.61619321  2.37190298] -2.8601013386735996 ;\n",
+      "Epoch 110/1000, Cost: 6.7425\n",
+      " and the parameters are [-1.6162106   2.37181189] -2.86023735627523 ;\n",
+      "Epoch 110/1000, Cost: 5.5757\n",
+      " and the parameters are [-1.61623785  2.37179705] -2.860346126018241 ;\n",
+      "Epoch 110/1000, Cost: 4.2861\n",
+      " and the parameters are [-1.61624588  2.37185302] -2.860403901989232 ;\n",
+      "Epoch 110/1000, Cost: 8.9695\n",
+      " and the parameters are [-1.61631829  2.37186066] -2.8604458812477715 ;\n",
+      "Epoch 110/1000, Cost: 7.8690\n",
+      " and the parameters are [-1.61639898  2.37184687] -2.860521417197276 ;\n",
+      "Epoch 110/1000, Cost: 6.7683\n",
+      " and the parameters are [-1.61642749  2.37193824] -2.8605504075037027 ;\n",
+      "Epoch 110/1000, Cost: 3.7716\n",
+      " and the parameters are [-1.61643799  2.37203671] -2.8605713275553937 ;\n",
+      "Epoch 110/1000, Cost: 3.6582\n",
+      " and the parameters are [-1.61644636  2.3720812 ] -2.8606316717292244 ;\n",
+      "Epoch 110/1000, Cost: 5.9301\n",
+      " and the parameters are [-1.61653727  2.37209374] -2.8606901648268837 ;\n",
+      "Epoch 110/1000, Cost: 8.3059\n",
+      " and the parameters are [-1.61658643  2.37202554] -2.860795438513119 ;\n",
+      "Epoch 110/1000, Cost: 6.7360\n",
+      " and the parameters are [-1.61668525  2.37214167] -2.8607530802190704 ;\n",
+      "Epoch 110/1000, Cost: 6.7689\n",
+      " and the parameters are [-1.61669541  2.37227441] -2.860760507662422 ;\n",
+      "Epoch 110/1000, Cost: 4.1178\n",
+      " and the parameters are [-1.61664687  2.37241754] -2.8607793834174733 ;\n",
+      "Epoch 110/1000, Cost: 4.7685\n",
+      " and the parameters are [-1.61665182  2.37244384] -2.860869052177765 ;\n",
+      "Epoch 110/1000, Cost: 3.6060\n",
+      " and the parameters are [-1.61665922  2.37254826] -2.860896049164701 ;\n",
+      "Epoch 110/1000, Cost: 6.1259\n",
+      " and the parameters are [-1.61669149  2.37259324] -2.8609721615691623 ;\n",
+      "Epoch 110/1000, Cost: 6.1985\n",
+      " and the parameters are [-1.61671037  2.37248974] -2.8611267359186776 ;\n",
+      "Epoch 110/1000, Cost: 6.2026\n",
+      " and the parameters are [-1.61679187  2.37254153] -2.8611504994406407 ;\n",
+      "Epoch 110/1000, Cost: 6.2409\n",
+      " and the parameters are [-1.61683128  2.37272683] -2.861090137412585 ;\n",
+      "Epoch 110/1000, Cost: 6.4058\n",
+      " and the parameters are [-1.61683774  2.37283857] -2.8610765564968474 ;\n",
+      "Epoch 110/1000, Cost: 4.8026\n",
+      " and the parameters are [-1.61689118  2.37281225] -2.8611447550724973 ;\n",
+      "Epoch 110/1000, Cost: 5.5137\n",
+      " and the parameters are [-1.61700231  2.37273303] -2.861220783106057 ;\n",
+      "Epoch 110/1000, Cost: 7.0895\n",
+      " and the parameters are [-1.6170407   2.37279441] -2.861246211107064 ;\n",
+      "Epoch 110/1000, Cost: 4.3853\n",
+      " and the parameters are [-1.61703586  2.37283356] -2.861343907331389 ;\n",
+      "Epoch 110/1000, Cost: 5.6167\n",
+      " and the parameters are [-1.6170353   2.37297263] -2.861347581666591 ;\n",
+      "Epoch 110/1000, Cost: 7.5416\n",
+      " and the parameters are [-1.61717881  2.3729013 ] -2.8614470250659303 ;\n",
+      "Epoch 110/1000, Cost: 7.1417\n",
+      " and the parameters are [-1.61719696  2.37290099] -2.8615377870966276 ;\n",
+      "Epoch 110/1000, Cost: 3.2022\n",
+      " and the parameters are [-1.61720635  2.37294987] -2.8616012140863507 ;\n",
+      "Epoch 110/1000, Cost: 3.8168\n",
+      " and the parameters are [-1.61723031  2.37300202] -2.861657924254433 ;\n",
+      "Epoch 110/1000, Cost: 6.4479\n",
+      " and the parameters are [-1.61715675  2.37306585] -2.8617540029691066 ;\n",
+      "Epoch 110/1000, Cost: 7.4123\n",
+      " and the parameters are [-1.61720752  2.3729805 ] -2.8618957451120752 ;\n",
+      "Epoch 110/1000, Cost: 5.7569\n",
+      " and the parameters are [-1.61720461  2.37297245] -2.8620241479698185 ;\n",
+      "Epoch 110/1000, Cost: 3.9816\n",
+      " and the parameters are [-1.61717994  2.37310049] -2.862050164651839 ;\n",
+      "Epoch 110/1000, Cost: 3.9512\n",
+      " and the parameters are [-1.6172082   2.37318659] -2.8620776474895466 ;\n",
+      "Epoch 110/1000, Cost: 5.4105\n",
+      " and the parameters are [-1.61727081  2.37322378] -2.8621205078856793 ;\n",
+      "Epoch 110/1000, Cost: 5.1297\n",
+      " and the parameters are [-1.61728165  2.37322822] -2.8622340509211526 ;\n",
+      "Epoch 110/1000, Cost: 4.1317\n",
+      " and the parameters are [-1.6173635   2.37321017] -2.862289718683545 ;\n",
+      "Epoch 110/1000, Cost: 5.7704\n",
+      " and the parameters are [-1.61736638  2.37318648] -2.86241229616331 ;\n",
+      "Epoch 110/1000, Cost: 6.9160\n",
+      " and the parameters are [-1.61745728  2.37327689] -2.862358959964163 ;\n",
+      "Epoch 110/1000, Cost: 6.3252\n",
+      " and the parameters are [-1.61751111  2.37335873] -2.8623753568858015 ;\n",
+      "Epoch 110/1000, Cost: 5.4258\n",
+      " and the parameters are [-1.61749941  2.37327462] -2.8625241290939853 ;\n",
+      "Epoch 110/1000, Cost: 6.6370\n",
+      " and the parameters are [-1.61761122  2.37316348] -2.86264844977863 ;\n",
+      "Epoch 110/1000, Cost: 4.0449\n",
+      " and the parameters are [-1.61768646  2.37321871] -2.862645827836784 ;\n",
+      "Epoch 110/1000, Cost: 4.1053\n",
+      " and the parameters are [-1.61771944  2.37325651] -2.8627028896747353 ;\n",
+      "Epoch 110/1000, Cost: 3.3331\n",
+      " and the parameters are [-1.61774668  2.37338541] -2.8627012941606176 ;\n",
+      "Epoch 110/1000, Cost: 3.8531\n",
+      " and the parameters are [-1.61776317  2.37351985] -2.8627077062131194 ;\n",
+      "Epoch 110/1000, Cost: 5.9966\n",
+      " and the parameters are [-1.61784573  2.37343159] -2.8628404558245575 ;\n",
+      "Epoch 110/1000, Cost: 6.9554\n",
+      " and the parameters are [-1.61787618  2.37351659] -2.8628700950099457 ;\n",
+      "Epoch 110/1000, Cost: 3.6561\n",
+      " and the parameters are [-1.6178903   2.37358195] -2.862905146296523 ;\n",
+      "Epoch 110/1000, Cost: 4.3093\n",
+      " and the parameters are [-1.61789457  2.37364523] -2.862965618141547 ;\n",
+      "Epoch 110/1000, Cost: 4.4574\n",
+      " and the parameters are [-1.61785704  2.37378432] -2.8629640519299993 ;\n",
+      "Epoch 110/1000, Cost: 5.9221\n",
+      " and the parameters are [-1.61792422  2.37385223] -2.862991553246629 ;\n",
+      "Epoch 110/1000, Cost: 5.3098\n",
+      " and the parameters are [-1.61795344  2.37392104] -2.8630417687527148 ;\n",
+      "Epoch 110/1000, Cost: 4.7838\n",
+      " and the parameters are [-1.61798645  2.37398489] -2.863091800297042 ;\n",
+      "Epoch 110/1000, Cost: 4.4559\n",
+      " and the parameters are [-1.61803967  2.37404   ] -2.863131341196851 ;\n",
+      "Epoch 110/1000, Cost: 5.4904\n",
+      " and the parameters are [-1.61804988  2.37407247] -2.8632052608272525 ;\n",
+      "Epoch 110/1000, Cost: 5.5304\n",
+      " and the parameters are [-1.61810409  2.37405429] -2.8633005394606323 ;\n",
+      "Epoch 110/1000, Cost: 2.4012\n",
+      " and the parameters are [-1.61811709  2.37415571] -2.863308456775791 ;\n",
+      "Epoch 110/1000, Cost: 3.7367\n",
+      " and the parameters are [-1.61817337  2.37422633] -2.8633269451372074 ;\n",
+      "Epoch 110/1000, Cost: 5.1911\n",
+      " and the parameters are [-1.61830952  2.3742261 ] -2.8633452288750685 ;\n",
+      "Epoch 110/1000, Cost: 5.7731\n",
+      " and the parameters are [-1.61831578  2.37422796] -2.863467358367143 ;\n",
+      "Epoch 110/1000, Cost: 5.5919\n",
+      " and the parameters are [-1.61833621  2.37418779] -2.863597351268497 ;\n",
+      "Epoch 110/1000, Cost: 7.5841\n",
+      " and the parameters are [-1.6183101   2.37432209] -2.863583442382445 ;\n",
+      "Epoch 110/1000, Cost: 6.8306\n",
+      " and the parameters are [-1.61836078  2.37437469] -2.8636087073472267 ;\n",
+      "Epoch 110/1000, Cost: 6.8515\n",
+      " and the parameters are [-1.61846269  2.3742893 ] -2.86371241457888 ;\n",
+      "Epoch 110/1000, Cost: 7.8567\n",
+      " and the parameters are [-1.61843752  2.37427904] -2.863798191716853 ;\n",
+      "Epoch 110/1000, Cost: 4.7913\n",
+      " and the parameters are [-1.61843034  2.37436177] -2.8638535074987446 ;\n",
+      "Epoch 110/1000, Cost: 5.3493\n",
+      " and the parameters are [-1.61846177  2.37432832] -2.8639694844308883 ;\n",
+      "Epoch 110/1000, Cost: 3.7853\n",
+      " and the parameters are [-1.61839917  2.37451014] -2.8639514830031847 ;\n",
+      "Epoch 110/1000, Cost: 5.9925\n",
+      " and the parameters are [-1.61847652  2.37457661] -2.863965318909473 ;\n",
+      "Epoch 110/1000, Cost: 8.5609\n",
+      " and the parameters are [-1.61837601  2.37449106] -2.864133583560642 ;\n",
+      "Epoch 110/1000, Cost: 5.4848\n",
+      " and the parameters are [-1.61837554  2.37457899] -2.864157196954834 ;\n",
+      "Epoch 110/1000, Cost: 3.9263\n",
+      " and the parameters are [-1.61836493  2.37466661] -2.86420367332196 ;\n",
+      "Epoch 110/1000, Cost: 5.9702\n",
+      " and the parameters are [-1.61846735  2.3746989 ] -2.8642343998461297 ;\n",
+      "Epoch 110/1000, Cost: 4.1124\n",
+      " and the parameters are [-1.6184551   2.37480049] -2.864261468490471 ;\n",
+      "Epoch 110/1000, Cost: 6.7953\n",
+      " and the parameters are [-1.6183747   2.37502962] -2.864220490340317 ;\n",
+      "Epoch 110/1000, Cost: 4.7591\n",
+      " and the parameters are [-1.61834804  2.37512923] -2.8642595408635403 ;\n",
+      "Epoch 110/1000, Cost: 4.6474\n",
+      " and the parameters are [-1.61833605  2.37528929] -2.8642273270322516 ;\n",
+      "Epoch 110/1000, Cost: 5.1840\n",
+      " and the parameters are [-1.61839334  2.37529875] -2.8642662718198735 ;\n",
+      "Epoch 110/1000, Cost: 6.3782\n",
+      " and the parameters are [-1.61837602  2.37541749] -2.8642921159912174 ;\n",
+      "Epoch 110/1000, Cost: 6.7932\n",
+      " and the parameters are [-1.61843724  2.37540217] -2.8643462476200248 ;\n",
+      "Epoch 110/1000, Cost: 4.9106\n",
+      " and the parameters are [-1.61847143  2.3754878 ] -2.864373314977854 ;\n",
+      "Epoch 110/1000, Cost: 6.1335\n",
+      " and the parameters are [-1.61854562  2.37544487] -2.8644609478567884 ;\n",
+      "Epoch 110/1000, Cost: 5.4781\n",
+      " and the parameters are [-1.61863915  2.37549421] -2.8644675869365255 ;\n",
+      "Epoch 110/1000, Cost: 3.1445\n",
+      " and the parameters are [-1.6186561  2.3755132] -2.8645454293250805 ;\n",
+      "Epoch 110/1000, Cost: 5.8884\n",
+      " and the parameters are [-1.61871722  2.37555633] -2.8645789923209146 ;\n",
+      "Epoch 110/1000, Cost: 3.4864\n",
+      " and the parameters are [-1.61872305  2.37558262] -2.8646633414093388 ;\n",
+      "Epoch 110/1000, Cost: 5.1642\n",
+      " and the parameters are [-1.61873208  2.37566018] -2.864716013532216 ;\n",
+      "Epoch 110/1000, Cost: 6.7904\n",
+      " and the parameters are [-1.61883442  2.37552229] -2.8648746772782956 ;\n",
+      "Epoch 110/1000, Cost: 3.5345\n",
+      " and the parameters are [-1.61885358  2.37557284] -2.8649158478193897 ;\n",
+      "Epoch 110/1000, Cost: 4.5836\n",
+      " and the parameters are [-1.61886388  2.37566047] -2.8649461479888685 ;\n",
+      "Epoch 110/1000, Cost: 3.4622\n",
+      " and the parameters are [-1.61891973  2.37567221] -2.8649974285643705 ;\n",
+      "Epoch 110/1000, Cost: 4.3455\n",
+      " and the parameters are [-1.61887418  2.37578816] -2.8650285845500365 ;\n",
+      "Epoch 110/1000, Cost: 4.4152\n",
+      " and the parameters are [-1.61889585  2.37579096] -2.8651038951548724 ;\n",
+      "Epoch 110/1000, Cost: 5.8253\n",
+      " and the parameters are [-1.61894392  2.37575206] -2.8652054473326634 ;\n",
+      "Epoch 110/1000, Cost: 3.6904\n",
+      " and the parameters are [-1.61897625  2.37579102] -2.86526205582478 ;\n",
+      "Epoch 110/1000, Cost: 6.3905\n",
+      " and the parameters are [-1.61906112  2.37582602] -2.865268227470203 ;\n",
+      "Epoch 110/1000, Cost: 3.4254\n",
+      " and the parameters are [-1.61905311  2.37596533] -2.86525657523624 ;\n",
+      "Epoch 120/1000, Cost: 5.2650\n",
+      " and the parameters are [-1.6729389   2.43916709] -2.9607542516635688 ;\n",
+      "Epoch 120/1000, Cost: 5.6156\n",
+      " and the parameters are [-1.67296653  2.43915908] -2.9608498956595573 ;\n",
+      "Epoch 120/1000, Cost: 6.6811\n",
+      " and the parameters are [-1.67300746  2.43920121] -2.9608833194605655 ;\n",
+      "Epoch 120/1000, Cost: 2.9002\n",
+      " and the parameters are [-1.6730231   2.43933157] -2.9608608697852197 ;\n",
+      "Epoch 120/1000, Cost: 5.4460\n",
+      " and the parameters are [-1.67303978  2.43927138] -2.9609797991543316 ;\n",
+      "Epoch 120/1000, Cost: 4.4246\n",
+      " and the parameters are [-1.67302288  2.43934079] -2.9610330470208206 ;\n",
+      "Epoch 120/1000, Cost: 5.7764\n",
+      " and the parameters are [-1.67307857  2.43939334] -2.961068149849045 ;\n",
+      "Epoch 120/1000, Cost: 4.7997\n",
+      " and the parameters are [-1.67312644  2.43937704] -2.9611654368812053 ;\n",
+      "Epoch 120/1000, Cost: 5.6229\n",
+      " and the parameters are [-1.67308681  2.43944633] -2.9612478869781036 ;\n",
+      "Epoch 120/1000, Cost: 4.2800\n",
+      " and the parameters are [-1.67311139  2.43959424] -2.961212630835318 ;\n",
+      "Epoch 120/1000, Cost: 3.6035\n",
+      " and the parameters are [-1.67307886  2.43964049] -2.9613067274801366 ;\n",
+      "Epoch 120/1000, Cost: 5.7682\n",
+      " and the parameters are [-1.67302288  2.43976799] -2.9612852574574937 ;\n",
+      "Epoch 120/1000, Cost: 5.2452\n",
+      " and the parameters are [-1.67303029  2.4398112 ] -2.961330764834287 ;\n",
+      "Epoch 120/1000, Cost: 4.0607\n",
+      " and the parameters are [-1.67308365  2.43974273] -2.961458112164805 ;\n",
+      "Epoch 120/1000, Cost: 5.9794\n",
+      " and the parameters are [-1.67309306  2.43974701] -2.9615465061146913 ;\n",
+      "Epoch 120/1000, Cost: 7.2192\n",
+      " and the parameters are [-1.67305178  2.43990027] -2.9615477870611433 ;\n",
+      "Epoch 120/1000, Cost: 3.2678\n",
+      " and the parameters are [-1.67300661  2.44001164] -2.9615867545868464 ;\n",
+      "Epoch 120/1000, Cost: 1.8935\n",
+      " and the parameters are [-1.67303033  2.44008287] -2.9615980547594303 ;\n",
+      "Epoch 120/1000, Cost: 9.9737\n",
+      " and the parameters are [-1.67290224  2.43996256] -2.9618171111816545 ;\n",
+      "Epoch 120/1000, Cost: 6.1039\n",
+      " and the parameters are [-1.67293618  2.43994145] -2.961932590280053 ;\n",
+      "Epoch 120/1000, Cost: 5.6495\n",
+      " and the parameters are [-1.67295809  2.43994815] -2.9619958211651705 ;\n",
+      "Epoch 120/1000, Cost: 4.2773\n",
+      " and the parameters are [-1.67300274  2.43993153] -2.96209649575546 ;\n",
+      "Epoch 120/1000, Cost: 4.4538\n",
+      " and the parameters are [-1.67301816  2.43997236] -2.9621578363750034 ;\n",
+      "Epoch 120/1000, Cost: 5.9983\n",
+      " and the parameters are [-1.67305283  2.44001979] -2.9621895485318563 ;\n",
+      "Epoch 120/1000, Cost: 2.4580\n",
+      " and the parameters are [-1.67307468  2.44013289] -2.962177227929447 ;\n",
+      "Epoch 120/1000, Cost: 2.4536\n",
+      " and the parameters are [-1.67305368  2.44026035] -2.9621746451899216 ;\n",
+      "Epoch 120/1000, Cost: 5.1983\n",
+      " and the parameters are [-1.67309581  2.44036048] -2.962139314918075 ;\n",
+      "Epoch 120/1000, Cost: 4.3401\n",
+      " and the parameters are [-1.67311859  2.44035905] -2.9622129187601716 ;\n",
+      "Epoch 120/1000, Cost: 4.5605\n",
+      " and the parameters are [-1.67318496  2.44031549] -2.96232145214178 ;\n",
+      "Epoch 120/1000, Cost: 5.0455\n",
+      " and the parameters are [-1.67325705  2.44027039] -2.9624202041780294 ;\n",
+      "Epoch 120/1000, Cost: 3.1251\n",
+      " and the parameters are [-1.67329556  2.44036044] -2.9624142028902045 ;\n",
+      "Epoch 120/1000, Cost: 3.8265\n",
+      " and the parameters are [-1.67329436  2.44041925] -2.9624723625140947 ;\n",
+      "Epoch 120/1000, Cost: 5.4377\n",
+      " and the parameters are [-1.67331558  2.44054977] -2.962453950404983 ;\n",
+      "Epoch 120/1000, Cost: 3.4641\n",
+      " and the parameters are [-1.67327233  2.44068858] -2.9624838072825095 ;\n",
+      "Epoch 120/1000, Cost: 4.5660\n",
+      " and the parameters are [-1.67329822  2.44073746] -2.962541456642407 ;\n",
+      "Epoch 120/1000, Cost: 4.0394\n",
+      " and the parameters are [-1.67336783  2.44080074] -2.9625500771378976 ;\n",
+      "Epoch 120/1000, Cost: 4.7334\n",
+      " and the parameters are [-1.67336577  2.44087353] -2.9626008933426617 ;\n",
+      "Epoch 120/1000, Cost: 4.8690\n",
+      " and the parameters are [-1.673384    2.44092432] -2.9626624227245775 ;\n",
+      "Epoch 120/1000, Cost: 5.4927\n",
+      " and the parameters are [-1.6734092   2.44099328] -2.962667108465948 ;\n",
+      "Epoch 120/1000, Cost: 6.9875\n",
+      " and the parameters are [-1.67337134  2.44105727] -2.9627146398533113 ;\n",
+      "Epoch 120/1000, Cost: 6.6075\n",
+      " and the parameters are [-1.67337152  2.44097587] -2.962843895353312 ;\n",
+      "Epoch 120/1000, Cost: 4.8704\n",
+      " and the parameters are [-1.67340585  2.44108566] -2.962848746443244 ;\n",
+      "Epoch 120/1000, Cost: 8.3855\n",
+      " and the parameters are [-1.67331217  2.44134561] -2.9627529159352717 ;\n",
+      "Epoch 120/1000, Cost: 5.8248\n",
+      " and the parameters are [-1.67335448  2.44135802] -2.962837611499631 ;\n",
+      "Epoch 120/1000, Cost: 4.9712\n",
+      " and the parameters are [-1.67341983  2.44131564] -2.9629403275843864 ;\n",
+      "Epoch 120/1000, Cost: 3.8901\n",
+      " and the parameters are [-1.67344059  2.44137114] -2.9629696254042868 ;\n",
+      "Epoch 120/1000, Cost: 2.9369\n",
+      " and the parameters are [-1.67344447  2.44144492] -2.962986522746915 ;\n",
+      "Epoch 120/1000, Cost: 2.8332\n",
+      " and the parameters are [-1.67343915  2.44156853] -2.962981666677149 ;\n",
+      "Epoch 120/1000, Cost: 4.4093\n",
+      " and the parameters are [-1.67352323  2.44152683] -2.9630777633782888 ;\n",
+      "Epoch 120/1000, Cost: 5.5710\n",
+      " and the parameters are [-1.67358062  2.44152013] -2.9631273926017183 ;\n",
+      "Epoch 120/1000, Cost: 5.3031\n",
+      " and the parameters are [-1.67361501  2.44146567] -2.963263002926491 ;\n",
+      "Epoch 120/1000, Cost: 3.3339\n",
+      " and the parameters are [-1.67359051  2.44156446] -2.9632855289899758 ;\n",
+      "Epoch 120/1000, Cost: 6.2808\n",
+      " and the parameters are [-1.67372758  2.44138706] -2.9634232172611763 ;\n",
+      "Epoch 120/1000, Cost: 4.7797\n",
+      " and the parameters are [-1.67379605  2.44143096] -2.96345739544087 ;\n",
+      "Epoch 120/1000, Cost: 6.2590\n",
+      " and the parameters are [-1.67379316  2.44145274] -2.9635299309483605 ;\n",
+      "Epoch 120/1000, Cost: 3.8324\n",
+      " and the parameters are [-1.67381663  2.44148627] -2.963578511191025 ;\n",
+      "Epoch 120/1000, Cost: 6.3066\n",
+      " and the parameters are [-1.67379026  2.44143794] -2.9637408383566437 ;\n",
+      "Epoch 120/1000, Cost: 4.6527\n",
+      " and the parameters are [-1.6737767   2.44146704] -2.9638220553919354 ;\n",
+      "Epoch 120/1000, Cost: 4.3523\n",
+      " and the parameters are [-1.67378059  2.44157526] -2.9638356232149654 ;\n",
+      "Epoch 120/1000, Cost: 5.0305\n",
+      " and the parameters are [-1.67377161  2.44158777] -2.963949350531316 ;\n",
+      "Epoch 120/1000, Cost: 4.7447\n",
+      " and the parameters are [-1.67378575  2.44160479] -2.9640475296171127 ;\n",
+      "Epoch 120/1000, Cost: 6.0682\n",
+      " and the parameters are [-1.67370856  2.4417529 ] -2.9640798382779434 ;\n",
+      "Epoch 120/1000, Cost: 5.2636\n",
+      " and the parameters are [-1.67384988  2.44171688] -2.96413557857595 ;\n",
+      "Epoch 120/1000, Cost: 4.1671\n",
+      " and the parameters are [-1.67373144  2.44176043] -2.964233105152971 ;\n",
+      "Epoch 120/1000, Cost: 5.3197\n",
+      " and the parameters are [-1.67376958  2.44172887] -2.9643185644734644 ;\n",
+      "Epoch 120/1000, Cost: 3.3557\n",
+      " and the parameters are [-1.67382924  2.44172687] -2.9643811486296907 ;\n",
+      "Epoch 120/1000, Cost: 5.7340\n",
+      " and the parameters are [-1.67393383  2.44165645] -2.964481399259913 ;\n",
+      "Epoch 120/1000, Cost: 5.3196\n",
+      " and the parameters are [-1.67405097  2.44159387] -2.96457120438403 ;\n",
+      "Epoch 120/1000, Cost: 5.9366\n",
+      " and the parameters are [-1.67409012  2.44172455] -2.9645176755046907 ;\n",
+      "Epoch 120/1000, Cost: 6.4379\n",
+      " and the parameters are [-1.67409439  2.44163874] -2.964673144031 ;\n",
+      "Epoch 120/1000, Cost: 7.5926\n",
+      " and the parameters are [-1.67414631  2.44166339] -2.964720844908652 ;\n",
+      "Epoch 120/1000, Cost: 5.3228\n",
+      " and the parameters are [-1.67415149  2.44169344] -2.964791779578169 ;\n",
+      "Epoch 120/1000, Cost: 7.3562\n",
+      " and the parameters are [-1.67418691  2.44173041] -2.9648313378234383 ;\n",
+      "Epoch 120/1000, Cost: 7.7628\n",
+      " and the parameters are [-1.67426122  2.44170064] -2.964915610354627 ;\n",
+      "Epoch 120/1000, Cost: 5.1409\n",
+      " and the parameters are [-1.67436049  2.44167785] -2.9649703662584845 ;\n",
+      "Epoch 120/1000, Cost: 7.3921\n",
+      " and the parameters are [-1.67434414  2.44170171] -2.965004319705256 ;\n",
+      "Epoch 120/1000, Cost: 7.2131\n",
+      " and the parameters are [-1.67440417  2.44170899] -2.9650086287011663 ;\n",
+      "Epoch 120/1000, Cost: 4.1525\n",
+      " and the parameters are [-1.67452785  2.44173698] -2.9650331637326515 ;\n",
+      "Epoch 120/1000, Cost: 3.7664\n",
+      " and the parameters are [-1.67459212  2.4417605 ] -2.965089782892311 ;\n",
+      "Epoch 120/1000, Cost: 5.3853\n",
+      " and the parameters are [-1.67457321  2.4419342 ] -2.965057366354983 ;\n",
+      "Epoch 120/1000, Cost: 5.1556\n",
+      " and the parameters are [-1.67471357  2.44196537] -2.965031367870746 ;\n",
+      "Epoch 120/1000, Cost: 6.2333\n",
+      " and the parameters are [-1.67486107  2.44198859] -2.9650092021879146 ;\n",
+      "Epoch 120/1000, Cost: 5.2440\n",
+      " and the parameters are [-1.67498949  2.44182754] -2.965178376227114 ;\n",
+      "Epoch 120/1000, Cost: 4.6550\n",
+      " and the parameters are [-1.67500593  2.44183431] -2.9652544241419148 ;\n",
+      "Epoch 120/1000, Cost: 3.0877\n",
+      " and the parameters are [-1.67502987  2.44188419] -2.965288958707283 ;\n",
+      "Epoch 120/1000, Cost: 3.8008\n",
+      " and the parameters are [-1.67507329  2.44193265] -2.9653365858739926 ;\n",
+      "Epoch 120/1000, Cost: 6.5152\n",
+      " and the parameters are [-1.6751695   2.44192308] -2.96537166635517 ;\n",
+      "Epoch 120/1000, Cost: 7.5666\n",
+      " and the parameters are [-1.6751898   2.44182565] -2.965515946381753 ;\n",
+      "Epoch 120/1000, Cost: 5.9813\n",
+      " and the parameters are [-1.67529302  2.44183043] -2.965532909570603 ;\n",
+      "Epoch 120/1000, Cost: 7.1067\n",
+      " and the parameters are [-1.67534848  2.44180174] -2.9655924000048812 ;\n",
+      "Epoch 120/1000, Cost: 5.2540\n",
+      " and the parameters are [-1.67543764  2.4417786 ] -2.965673823882464 ;\n",
+      "Epoch 120/1000, Cost: 4.8785\n",
+      " and the parameters are [-1.67545339  2.44179211] -2.9657700944814636 ;\n",
+      "Epoch 120/1000, Cost: 6.2778\n",
+      " and the parameters are [-1.67546442  2.44192027] -2.9657720159759373 ;\n",
+      "Epoch 120/1000, Cost: 4.3484\n",
+      " and the parameters are [-1.67543223  2.44202561] -2.9658218435564545 ;\n",
+      "Epoch 120/1000, Cost: 7.4666\n",
+      " and the parameters are [-1.67551257  2.44199955] -2.965891583926695 ;\n",
+      "Epoch 120/1000, Cost: 5.2021\n",
+      " and the parameters are [-1.67550585  2.44212513] -2.9658864758963865 ;\n",
+      "Epoch 120/1000, Cost: 4.3990\n",
+      " and the parameters are [-1.67552456  2.44218736] -2.9659292421601386 ;\n",
+      "Epoch 120/1000, Cost: 5.4628\n",
+      " and the parameters are [-1.67556315  2.44217699] -2.96599621828688 ;\n",
+      "Epoch 120/1000, Cost: 4.3366\n",
+      " and the parameters are [-1.67559474  2.44229882] -2.9659883812132564 ;\n",
+      "Epoch 120/1000, Cost: 3.7395\n",
+      " and the parameters are [-1.67552994  2.44246901] -2.9659937235286833 ;\n",
+      "Epoch 120/1000, Cost: 8.7812\n",
+      " and the parameters are [-1.67558194  2.44227676] -2.96619604175383 ;\n",
+      "Epoch 120/1000, Cost: 6.2033\n",
+      " and the parameters are [-1.6757472   2.44222641] -2.966220270023998 ;\n",
+      "Epoch 120/1000, Cost: 3.3560\n",
+      " and the parameters are [-1.67576404  2.4423575 ] -2.9662017099189346 ;\n",
+      "Epoch 120/1000, Cost: 6.7592\n",
+      " and the parameters are [-1.67574614  2.44227821] -2.966356313962513 ;\n",
+      "Epoch 120/1000, Cost: 5.5064\n",
+      " and the parameters are [-1.67578098  2.4423283 ] -2.966381309468769 ;\n",
+      "Epoch 120/1000, Cost: 6.6341\n",
+      " and the parameters are [-1.6758677   2.44231523] -2.966458273132798 ;\n",
+      "Epoch 120/1000, Cost: 5.2672\n",
+      " and the parameters are [-1.67587721  2.44246058] -2.966447750360011 ;\n",
+      "Epoch 120/1000, Cost: 7.2080\n",
+      " and the parameters are [-1.67595094  2.4424433 ] -2.966495844350882 ;\n",
+      "Epoch 120/1000, Cost: 5.6660\n",
+      " and the parameters are [-1.67600988  2.4424888 ] -2.966527130533794 ;\n",
+      "Epoch 120/1000, Cost: 3.5315\n",
+      " and the parameters are [-1.67604666  2.44258223] -2.966523885519539 ;\n",
+      "Epoch 120/1000, Cost: 5.6442\n",
+      " and the parameters are [-1.67608262  2.4425711 ] -2.966615242708615 ;\n",
+      "Epoch 120/1000, Cost: 5.4890\n",
+      " and the parameters are [-1.67609241  2.44252086] -2.9667437656184807 ;\n",
+      "Epoch 120/1000, Cost: 3.2830\n",
+      " and the parameters are [-1.67616615  2.44253979] -2.9667649512991177 ;\n",
+      "Epoch 120/1000, Cost: 5.9876\n",
+      " and the parameters are [-1.67622418  2.44257747] -2.9667894031746176 ;\n",
+      "Epoch 120/1000, Cost: 6.4105\n",
+      " and the parameters are [-1.67622932  2.44259241] -2.966887469315383 ;\n",
+      "Epoch 120/1000, Cost: 3.8052\n",
+      " and the parameters are [-1.67634256  2.44262514] -2.966895556586057 ;\n",
+      "Epoch 120/1000, Cost: 6.7875\n",
+      " and the parameters are [-1.67624407  2.44279776] -2.966902658812459 ;\n",
+      "Epoch 120/1000, Cost: 3.1697\n",
+      " and the parameters are [-1.67631363  2.44286857] -2.9669026896081023 ;\n",
+      "Epoch 120/1000, Cost: 3.2570\n",
+      " and the parameters are [-1.67636249  2.44297792] -2.9668827697940214 ;\n",
+      "Epoch 120/1000, Cost: 4.2773\n",
+      " and the parameters are [-1.67638459  2.44302586] -2.966940434744677 ;\n",
+      "Epoch 120/1000, Cost: 4.6801\n",
+      " and the parameters are [-1.67651719  2.44305589] -2.966945804249013 ;\n",
+      "Epoch 120/1000, Cost: 8.3899\n",
+      " and the parameters are [-1.67654842  2.4430308 ] -2.9670140335923025 ;\n",
+      "Epoch 120/1000, Cost: 5.4589\n",
+      " and the parameters are [-1.6766891  2.4430324] -2.9670358981555003 ;\n",
+      "Epoch 120/1000, Cost: 5.6251\n",
+      " and the parameters are [-1.67664408  2.44312805] -2.9670891930154366 ;\n",
+      "Epoch 120/1000, Cost: 5.7574\n",
+      " and the parameters are [-1.67662171  2.4431449 ] -2.9672010044047963 ;\n",
+      "Epoch 120/1000, Cost: 4.2293\n",
+      " and the parameters are [-1.67668182  2.44320202] -2.967221927029097 ;\n",
+      "Epoch 120/1000, Cost: 5.5522\n",
+      " and the parameters are [-1.67674785  2.44330227] -2.96719210393673 ;\n",
+      "Epoch 120/1000, Cost: 9.7274\n",
+      " and the parameters are [-1.67671271  2.4433078 ] -2.967247522708979 ;\n",
+      "Epoch 120/1000, Cost: 3.6078\n",
+      " and the parameters are [-1.67672213  2.44338584] -2.967279468083983 ;\n",
+      "Epoch 120/1000, Cost: 4.1235\n",
+      " and the parameters are [-1.6767807   2.44338474] -2.967362642618931 ;\n",
+      "Epoch 120/1000, Cost: 4.8727\n",
+      " and the parameters are [-1.67678813  2.44349584] -2.967379602118292 ;\n",
+      "Epoch 120/1000, Cost: 3.9109\n",
+      " and the parameters are [-1.676855    2.44339893] -2.967506888585872 ;\n",
+      "Epoch 120/1000, Cost: 3.6855\n",
+      " and the parameters are [-1.67681849  2.443433  ] -2.9676073605837754 ;\n",
+      "Epoch 120/1000, Cost: 4.6866\n",
+      " and the parameters are [-1.67681756  2.44351952] -2.9676390378028383 ;\n",
+      "Epoch 120/1000, Cost: 3.2401\n",
+      " and the parameters are [-1.67686804  2.44360232] -2.967637220047796 ;\n",
+      "Epoch 120/1000, Cost: 7.1939\n",
+      " and the parameters are [-1.67679355  2.44360605] -2.9677604131926527 ;\n",
+      "Epoch 120/1000, Cost: 4.7881\n",
+      " and the parameters are [-1.67687113  2.4435653 ] -2.967856851470201 ;\n",
+      "Epoch 120/1000, Cost: 4.6001\n",
+      " and the parameters are [-1.67690315  2.44366594] -2.967853112245544 ;\n",
+      "Epoch 120/1000, Cost: 6.6329\n",
+      " and the parameters are [-1.67689668  2.44383464] -2.9678080002702134 ;\n",
+      "Epoch 120/1000, Cost: 4.8854\n",
+      " and the parameters are [-1.67680794  2.44387488] -2.967912748420735 ;\n",
+      "Epoch 120/1000, Cost: 6.7421\n",
+      " and the parameters are [-1.67679662  2.44397677] -2.967944094378487 ;\n",
+      "Epoch 120/1000, Cost: 7.0120\n",
+      " and the parameters are [-1.67677056  2.44408407] -2.9679758851445133 ;\n",
+      "Epoch 120/1000, Cost: 5.5457\n",
+      " and the parameters are [-1.67676466  2.4442092 ] -2.9679665687487664 ;\n",
+      "Epoch 120/1000, Cost: 6.9075\n",
+      " and the parameters are [-1.67674825  2.44438388] -2.967937454508617 ;\n",
+      "Epoch 120/1000, Cost: 6.2516\n",
+      " and the parameters are [-1.67670944  2.44442042] -2.9680271357905204 ;\n",
+      "Epoch 120/1000, Cost: 5.2737\n",
+      " and the parameters are [-1.6767191   2.44448912] -2.9680739108666554 ;\n",
+      "Epoch 120/1000, Cost: 5.7148\n",
+      " and the parameters are [-1.67674931  2.44442504] -2.968195672131006 ;\n",
+      "Epoch 120/1000, Cost: 5.9588\n",
+      " and the parameters are [-1.67676955  2.44441271] -2.9682659623162495 ;\n",
+      "Epoch 120/1000, Cost: 7.0677\n",
+      " and the parameters are [-1.67692869  2.44428879] -2.9683601472054053 ;\n",
+      "Epoch 120/1000, Cost: 4.6292\n",
+      " and the parameters are [-1.67703954  2.4441751 ] -2.968491878772183 ;\n",
+      "Epoch 120/1000, Cost: 7.6123\n",
+      " and the parameters are [-1.67722696  2.44418183] -2.9684617404833378 ;\n",
+      "Epoch 120/1000, Cost: 4.0920\n",
+      " and the parameters are [-1.6771734   2.44431915] -2.9684795017669763 ;\n",
+      "Epoch 120/1000, Cost: 4.4757\n",
+      " and the parameters are [-1.67721258  2.4444505 ] -2.9684567323528515 ;\n",
+      "Epoch 120/1000, Cost: 4.9042\n",
+      " and the parameters are [-1.67725476  2.44460793] -2.968404104319555 ;\n",
+      "Epoch 120/1000, Cost: 4.4696\n",
+      " and the parameters are [-1.67729671  2.44462484] -2.9684726937269104 ;\n",
+      "Epoch 120/1000, Cost: 4.3866\n",
+      " and the parameters are [-1.67728014  2.44477174] -2.968464884638361 ;\n",
+      "Epoch 120/1000, Cost: 7.4785\n",
+      " and the parameters are [-1.67726521  2.44476786] -2.968542377209253 ;\n",
+      "Epoch 120/1000, Cost: 4.3694\n",
+      " and the parameters are [-1.67721872  2.44480994] -2.9686397893227556 ;\n",
+      "Epoch 120/1000, Cost: 5.9017\n",
+      " and the parameters are [-1.67730419  2.44484189] -2.968665893292464 ;\n",
+      "Epoch 120/1000, Cost: 5.1793\n",
+      " and the parameters are [-1.67734248  2.44485163] -2.968734143052493 ;\n",
+      "Epoch 120/1000, Cost: 7.2409\n",
+      " and the parameters are [-1.67741553  2.44475977] -2.9688168447020367 ;\n",
+      "Epoch 120/1000, Cost: 3.5444\n",
+      " and the parameters are [-1.67745395  2.44478204] -2.9688758046482246 ;\n",
+      "Epoch 120/1000, Cost: 4.6816\n",
+      " and the parameters are [-1.67748836  2.44478007] -2.9689632411479914 ;\n",
+      "Epoch 120/1000, Cost: 4.8383\n",
+      " and the parameters are [-1.67752642  2.44483193] -2.968993573172936 ;\n",
+      "Epoch 120/1000, Cost: 2.9298\n",
+      " and the parameters are [-1.67756416  2.44492177] -2.9689936955002825 ;\n",
+      "Epoch 120/1000, Cost: 6.2976\n",
+      " and the parameters are [-1.67755143  2.44494805] -2.969078430926694 ;\n",
+      "Epoch 120/1000, Cost: 4.1481\n",
+      " and the parameters are [-1.67757614  2.44501767] -2.9690982480962496 ;\n",
+      "Epoch 120/1000, Cost: 6.1524\n",
+      " and the parameters are [-1.67762904  2.44505579] -2.9691271814862734 ;\n",
+      "Epoch 120/1000, Cost: 3.6206\n",
+      " and the parameters are [-1.67762413  2.44514349] -2.9691557432601794 ;\n",
+      "Epoch 120/1000, Cost: 6.2287\n",
+      " and the parameters are [-1.67771924  2.44513957] -2.9692131148431344 ;\n",
+      "Epoch 120/1000, Cost: 7.0051\n",
+      " and the parameters are [-1.67774305  2.445048  ] -2.9693298718638523 ;\n",
+      "Epoch 120/1000, Cost: 4.5043\n",
+      " and the parameters are [-1.67777625  2.44520452] -2.969301293761947 ;\n",
+      "Epoch 120/1000, Cost: 6.8421\n",
+      " and the parameters are [-1.67784223  2.4451728 ] -2.9694256840033124 ;\n",
+      "Epoch 120/1000, Cost: 5.3768\n",
+      " and the parameters are [-1.67791643  2.44520843] -2.969467722349868 ;\n",
+      "Epoch 120/1000, Cost: 6.2294\n",
+      " and the parameters are [-1.67788302  2.44522652] -2.9695776670035023 ;\n",
+      "Epoch 120/1000, Cost: 5.2269\n",
+      " and the parameters are [-1.67786477  2.44519863] -2.9697157961449183 ;\n",
+      "Epoch 120/1000, Cost: 3.3345\n",
+      " and the parameters are [-1.67786774  2.44525335] -2.9697776014366 ;\n",
+      "Epoch 120/1000, Cost: 5.3181\n",
+      " and the parameters are [-1.67796906  2.4452507 ] -2.9698311618121322 ;\n",
+      "Epoch 120/1000, Cost: 4.3406\n",
+      " and the parameters are [-1.67798914  2.44531596] -2.9698846674533113 ;\n",
+      "Epoch 120/1000, Cost: 4.0323\n",
+      " and the parameters are [-1.67800918  2.44543042] -2.9698934038266205 ;\n",
+      "Epoch 120/1000, Cost: 3.8582\n",
+      " and the parameters are [-1.67801754  2.44544303] -2.969966982313738 ;\n",
+      "Epoch 120/1000, Cost: 3.3112\n",
+      " and the parameters are [-1.67800192  2.44551728] -2.9700023301301193 ;\n",
+      "Epoch 120/1000, Cost: 3.7591\n",
+      " and the parameters are [-1.67808822  2.44555796] -2.9700233273798387 ;\n",
+      "Epoch 120/1000, Cost: 5.3408\n",
+      " and the parameters are [-1.67814     2.44562731] -2.9700545250927917 ;\n",
+      "Epoch 120/1000, Cost: 2.9690\n",
+      " and the parameters are [-1.67810866  2.4457396 ] -2.970069418140944 ;\n",
+      "Epoch 120/1000, Cost: 6.3195\n",
+      " and the parameters are [-1.67822181  2.44564174] -2.970188543082734 ;\n",
+      "Epoch 120/1000, Cost: 6.0963\n",
+      " and the parameters are [-1.67832005  2.44564476] -2.970221893685677 ;\n",
+      "Epoch 120/1000, Cost: 5.1364\n",
+      " and the parameters are [-1.6783718   2.44579617] -2.9701671314388336 ;\n",
+      "Epoch 120/1000, Cost: 7.3771\n",
+      " and the parameters are [-1.67852164  2.44564406] -2.9702854326216017 ;\n",
+      "Epoch 120/1000, Cost: 5.4749\n",
+      " and the parameters are [-1.67854677  2.44565752] -2.9703606928376627 ;\n",
+      "Epoch 120/1000, Cost: 7.6159\n",
+      " and the parameters are [-1.67851715  2.44570419] -2.970409694216803 ;\n",
+      "Epoch 120/1000, Cost: 3.4620\n",
+      " and the parameters are [-1.67854943  2.44581891] -2.970398852217115 ;\n",
+      "Epoch 120/1000, Cost: 5.8154\n",
+      " and the parameters are [-1.6786821   2.44577802] -2.970424696248175 ;\n",
+      "Epoch 120/1000, Cost: 4.6808\n",
+      " and the parameters are [-1.67870752  2.44577227] -2.9705078488065917 ;\n",
+      "Epoch 120/1000, Cost: 4.0736\n",
+      " and the parameters are [-1.67871932  2.44578343] -2.9705580549833366 ;\n",
+      "Epoch 120/1000, Cost: 8.6146\n",
+      " and the parameters are [-1.67873195  2.44582163] -2.9705979597481207 ;\n",
+      "Epoch 120/1000, Cost: 5.0065\n",
+      " and the parameters are [-1.67875656  2.44573512] -2.9707383831736207 ;\n",
+      "Epoch 120/1000, Cost: 5.8568\n",
+      " and the parameters are [-1.67873333  2.44575461] -2.970834573399165 ;\n",
+      "Epoch 120/1000, Cost: 4.5186\n",
+      " and the parameters are [-1.67873743  2.44591435] -2.970800859834417 ;\n",
+      "Epoch 120/1000, Cost: 6.7548\n",
+      " and the parameters are [-1.67869196  2.44583941] -2.970949118423108 ;\n",
+      "Epoch 130/1000, Cost: 4.1402\n",
+      " and the parameters are [-1.72875494  2.50506358] -3.059627385694067 ;\n",
+      "Epoch 130/1000, Cost: 9.6228\n",
+      " and the parameters are [-1.72887658  2.50481785] -3.05979991558141 ;\n",
+      "Epoch 130/1000, Cost: 8.4665\n",
+      " and the parameters are [-1.7289297   2.50466479] -3.059971815007847 ;\n",
+      "Epoch 130/1000, Cost: 4.3957\n",
+      " and the parameters are [-1.72890439  2.50472051] -3.0600396552220954 ;\n",
+      "Epoch 130/1000, Cost: 3.2237\n",
+      " and the parameters are [-1.7289737   2.50481265] -3.060026103008601 ;\n",
+      "Epoch 130/1000, Cost: 2.6005\n",
+      " and the parameters are [-1.72902505  2.5048425 ] -3.06005617152342 ;\n",
+      "Epoch 130/1000, Cost: 3.9687\n",
+      " and the parameters are [-1.72909624  2.50485784] -3.0601094974360294 ;\n",
+      "Epoch 130/1000, Cost: 5.0103\n",
+      " and the parameters are [-1.72925813  2.50477538] -3.060178279118438 ;\n",
+      "Epoch 130/1000, Cost: 4.1755\n",
+      " and the parameters are [-1.72926614  2.50486659] -3.060214257758113 ;\n",
+      "Epoch 130/1000, Cost: 3.6975\n",
+      " and the parameters are [-1.72930104  2.50491625] -3.060249239563452 ;\n",
+      "Epoch 130/1000, Cost: 5.3466\n",
+      " and the parameters are [-1.72927345  2.50493583] -3.060365296095483 ;\n",
+      "Epoch 130/1000, Cost: 6.4364\n",
+      " and the parameters are [-1.72939672  2.50479616] -3.0604827365849636 ;\n",
+      "Epoch 130/1000, Cost: 7.4828\n",
+      " and the parameters are [-1.72953053  2.50468868] -3.060607992113326 ;\n",
+      "Epoch 130/1000, Cost: 4.5826\n",
+      " and the parameters are [-1.72957765  2.50461342] -3.0607311932939663 ;\n",
+      "Epoch 130/1000, Cost: 4.9544\n",
+      " and the parameters are [-1.7295808  2.5047229] -3.0607356468887663 ;\n",
+      "Epoch 130/1000, Cost: 3.2266\n",
+      " and the parameters are [-1.72956923  2.50484846] -3.0607243110229967 ;\n",
+      "Epoch 130/1000, Cost: 4.4177\n",
+      " and the parameters are [-1.7295876   2.50485496] -3.060797038794026 ;\n",
+      "Epoch 130/1000, Cost: 5.3474\n",
+      " and the parameters are [-1.7295757  2.5049026] -3.060842989604663 ;\n",
+      "Epoch 130/1000, Cost: 7.2128\n",
+      " and the parameters are [-1.7297248   2.50482916] -3.060902938424818 ;\n",
+      "Epoch 130/1000, Cost: 5.3550\n",
+      " and the parameters are [-1.7297237  2.5047955] -3.061036811086574 ;\n",
+      "Epoch 130/1000, Cost: 6.3143\n",
+      " and the parameters are [-1.7297487   2.50480547] -3.0610790068226996 ;\n",
+      "Epoch 130/1000, Cost: 3.5599\n",
+      " and the parameters are [-1.72972345  2.50488501] -3.0611169801155618 ;\n",
+      "Epoch 130/1000, Cost: 5.2473\n",
+      " and the parameters are [-1.72974443  2.50485876] -3.0612301244129108 ;\n",
+      "Epoch 130/1000, Cost: 4.2219\n",
+      " and the parameters are [-1.72970407  2.50499541] -3.061239739638465 ;\n",
+      "Epoch 130/1000, Cost: 5.5662\n",
+      " and the parameters are [-1.72975085  2.50494476] -3.061350979618771 ;\n",
+      "Epoch 130/1000, Cost: 5.3413\n",
+      " and the parameters are [-1.72971704  2.50506846] -3.0613517349891035 ;\n",
+      "Epoch 130/1000, Cost: 6.1943\n",
+      " and the parameters are [-1.72975788  2.50506476] -3.061401838436575 ;\n",
+      "Epoch 130/1000, Cost: 5.2763\n",
+      " and the parameters are [-1.72974739  2.50514926] -3.0614273345320733 ;\n",
+      "Epoch 130/1000, Cost: 4.2449\n",
+      " and the parameters are [-1.72982585  2.50519601] -3.0614422885969375 ;\n",
+      "Epoch 130/1000, Cost: 3.7159\n",
+      " and the parameters are [-1.72987992  2.50524058] -3.061480652175915 ;\n",
+      "Epoch 130/1000, Cost: 5.6191\n",
+      " and the parameters are [-1.72990192  2.50528695] -3.0614811250121443 ;\n",
+      "Epoch 130/1000, Cost: 2.5494\n",
+      " and the parameters are [-1.72990831  2.50534357] -3.061527525418641 ;\n",
+      "Epoch 130/1000, Cost: 4.7396\n",
+      " and the parameters are [-1.72990684  2.50549054] -3.0615233649618387 ;\n",
+      "Epoch 130/1000, Cost: 6.2399\n",
+      " and the parameters are [-1.72986246  2.50540544] -3.0616956186253548 ;\n",
+      "Epoch 130/1000, Cost: 4.1253\n",
+      " and the parameters are [-1.72987155  2.50540213] -3.0617762216537865 ;\n",
+      "Epoch 130/1000, Cost: 5.4367\n",
+      " and the parameters are [-1.72991917  2.50541558] -3.061815379419722 ;\n",
+      "Epoch 130/1000, Cost: 4.2120\n",
+      " and the parameters are [-1.7299297   2.50547244] -3.0618463549211534 ;\n",
+      "Epoch 130/1000, Cost: 5.8611\n",
+      " and the parameters are [-1.72988128  2.50553271] -3.0619277135673837 ;\n",
+      "Epoch 130/1000, Cost: 3.8667\n",
+      " and the parameters are [-1.72991583  2.50554397] -3.0619956148579903 ;\n",
+      "Epoch 130/1000, Cost: 6.1242\n",
+      " and the parameters are [-1.72990124  2.50565073] -3.061997275343846 ;\n",
+      "Epoch 130/1000, Cost: 5.5866\n",
+      " and the parameters are [-1.72984201  2.50571184] -3.0620707616089438 ;\n",
+      "Epoch 130/1000, Cost: 3.8774\n",
+      " and the parameters are [-1.72991116  2.50567575] -3.0621452939079528 ;\n",
+      "Epoch 130/1000, Cost: 5.2207\n",
+      " and the parameters are [-1.7298551   2.50565164] -3.0622827618953767 ;\n",
+      "Epoch 130/1000, Cost: 6.2664\n",
+      " and the parameters are [-1.72980261  2.50566447] -3.062370213594311 ;\n",
+      "Epoch 130/1000, Cost: 3.8356\n",
+      " and the parameters are [-1.72988412  2.5057365 ] -3.0623622854268 ;\n",
+      "Epoch 130/1000, Cost: 4.1975\n",
+      " and the parameters are [-1.72991673  2.50581001] -3.0623771708014647 ;\n",
+      "Epoch 130/1000, Cost: 5.0985\n",
+      " and the parameters are [-1.72994626  2.50586529] -3.062404938597143 ;\n",
+      "Epoch 130/1000, Cost: 8.2330\n",
+      " and the parameters are [-1.72998446  2.50576968] -3.0625054070709674 ;\n",
+      "Epoch 130/1000, Cost: 7.2106\n",
+      " and the parameters are [-1.72998046  2.5057093 ] -3.062635886973008 ;\n",
+      "Epoch 130/1000, Cost: 5.2874\n",
+      " and the parameters are [-1.7299826   2.50568901] -3.062736188497552 ;\n",
+      "Epoch 130/1000, Cost: 5.8367\n",
+      " and the parameters are [-1.72997266  2.50570687] -3.062779104523648 ;\n",
+      "Epoch 130/1000, Cost: 4.8401\n",
+      " and the parameters are [-1.7299414   2.50577671] -3.0628419979091914 ;\n",
+      "Epoch 130/1000, Cost: 6.7257\n",
+      " and the parameters are [-1.73004832  2.50558154] -3.0630023708640257 ;\n",
+      "Epoch 130/1000, Cost: 3.1709\n",
+      " and the parameters are [-1.73002449  2.50567717] -3.063035917554262 ;\n",
+      "Epoch 130/1000, Cost: 7.4087\n",
+      " and the parameters are [-1.7299378   2.50558525] -3.063220765020733 ;\n",
+      "Epoch 130/1000, Cost: 7.8413\n",
+      " and the parameters are [-1.73011643  2.50544462] -3.0632983438805983 ;\n",
+      "Epoch 130/1000, Cost: 3.5631\n",
+      " and the parameters are [-1.73017165  2.50550601] -3.063302856566605 ;\n",
+      "Epoch 130/1000, Cost: 6.5382\n",
+      " and the parameters are [-1.73017823  2.5055293 ] -3.063342318453537 ;\n",
+      "Epoch 130/1000, Cost: 3.9865\n",
+      " and the parameters are [-1.73020831  2.50557567] -3.0633893978821223 ;\n",
+      "Epoch 130/1000, Cost: 6.4650\n",
+      " and the parameters are [-1.73034703  2.50559849] -3.0633847050204337 ;\n",
+      "Epoch 130/1000, Cost: 4.1950\n",
+      " and the parameters are [-1.73039863  2.50569102] -3.06338049482144 ;\n",
+      "Epoch 130/1000, Cost: 3.5759\n",
+      " and the parameters are [-1.7304456   2.50570366] -3.063430274672386 ;\n",
+      "Epoch 130/1000, Cost: 5.5851\n",
+      " and the parameters are [-1.7304519   2.50573684] -3.0635054212195527 ;\n",
+      "Epoch 130/1000, Cost: 4.8860\n",
+      " and the parameters are [-1.73054387  2.50566972] -3.0635925519011944 ;\n",
+      "Epoch 130/1000, Cost: 4.4016\n",
+      " and the parameters are [-1.73056832  2.50570228] -3.063633452802858 ;\n",
+      "Epoch 130/1000, Cost: 4.9655\n",
+      " and the parameters are [-1.73052129  2.50592379] -3.063579140082533 ;\n",
+      "Epoch 130/1000, Cost: 4.0216\n",
+      " and the parameters are [-1.73049951  2.50610054] -3.0635418837836554 ;\n",
+      "Epoch 130/1000, Cost: 3.4422\n",
+      " and the parameters are [-1.73050196  2.5061236 ] -3.0636221219268274 ;\n",
+      "Epoch 130/1000, Cost: 5.5312\n",
+      " and the parameters are [-1.73055415  2.50602623] -3.0637541521374896 ;\n",
+      "Epoch 130/1000, Cost: 5.5668\n",
+      " and the parameters are [-1.73056001  2.50602217] -3.0638409510429105 ;\n",
+      "Epoch 130/1000, Cost: 6.0000\n",
+      " and the parameters are [-1.73062345  2.50602016] -3.0638790234671696 ;\n",
+      "Epoch 130/1000, Cost: 4.1022\n",
+      " and the parameters are [-1.73064389  2.50615798] -3.0638552689338328 ;\n",
+      "Epoch 130/1000, Cost: 5.7742\n",
+      " and the parameters are [-1.7306039   2.50639373] -3.063787185162326 ;\n",
+      "Epoch 130/1000, Cost: 5.3991\n",
+      " and the parameters are [-1.73071879  2.50645132] -3.0637881594810814 ;\n",
+      "Epoch 130/1000, Cost: 2.8510\n",
+      " and the parameters are [-1.73069907  2.50656382] -3.0637969588560257 ;\n",
+      "Epoch 130/1000, Cost: 4.2189\n",
+      " and the parameters are [-1.73066138  2.50664238] -3.063858793163712 ;\n",
+      "Epoch 130/1000, Cost: 7.6738\n",
+      " and the parameters are [-1.73069554  2.50652605] -3.064023959420399 ;\n",
+      "Epoch 130/1000, Cost: 4.9843\n",
+      " and the parameters are [-1.73067665  2.50653596] -3.0641319297868503 ;\n",
+      "Epoch 130/1000, Cost: 3.1765\n",
+      " and the parameters are [-1.73069599  2.50649978] -3.064238748192239 ;\n",
+      "Epoch 130/1000, Cost: 4.7836\n",
+      " and the parameters are [-1.73077041  2.50659025] -3.064196517256139 ;\n",
+      "Epoch 130/1000, Cost: 5.6611\n",
+      " and the parameters are [-1.73091606  2.50662448] -3.064183480510668 ;\n",
+      "Epoch 130/1000, Cost: 4.4444\n",
+      " and the parameters are [-1.73091158  2.50669762] -3.064233691966159 ;\n",
+      "Epoch 130/1000, Cost: 3.4658\n",
+      " and the parameters are [-1.73098894  2.50670321] -3.064294175658308 ;\n",
+      "Epoch 130/1000, Cost: 3.2880\n",
+      " and the parameters are [-1.73107539  2.50678928] -3.0642763466424854 ;\n",
+      "Epoch 130/1000, Cost: 3.4245\n",
+      " and the parameters are [-1.73108324  2.50691697] -3.0642717005941917 ;\n",
+      "Epoch 130/1000, Cost: 3.9898\n",
+      " and the parameters are [-1.73105799  2.50693237] -3.064372001663403 ;\n",
+      "Epoch 130/1000, Cost: 4.2154\n",
+      " and the parameters are [-1.73106961  2.50704375] -3.064372832371827 ;\n",
+      "Epoch 130/1000, Cost: 5.4036\n",
+      " and the parameters are [-1.73115873  2.50696732] -3.064484974758267 ;\n",
+      "Epoch 130/1000, Cost: 6.2703\n",
+      " and the parameters are [-1.7312344   2.50693682] -3.0645646838779563 ;\n",
+      "Epoch 130/1000, Cost: 3.8403\n",
+      " and the parameters are [-1.73125086  2.50701691] -3.06457706069187 ;\n",
+      "Epoch 130/1000, Cost: 5.1117\n",
+      " and the parameters are [-1.73129762  2.50711745] -3.0645716295613696 ;\n",
+      "Epoch 130/1000, Cost: 4.1048\n",
+      " and the parameters are [-1.7313989   2.50721556] -3.0645022041617596 ;\n",
+      "Epoch 130/1000, Cost: 4.0410\n",
+      " and the parameters are [-1.73144149  2.50721064] -3.06458022315205 ;\n",
+      "Epoch 130/1000, Cost: 4.1098\n",
+      " and the parameters are [-1.7315092   2.50726012] -3.0645908966934323 ;\n",
+      "Epoch 130/1000, Cost: 4.9496\n",
+      " and the parameters are [-1.73147198  2.50726881] -3.0646938406634 ;\n",
+      "Epoch 130/1000, Cost: 5.3291\n",
+      " and the parameters are [-1.73141927  2.50738857] -3.064724911182147 ;\n",
+      "Epoch 130/1000, Cost: 5.0944\n",
+      " and the parameters are [-1.73145835  2.50758553] -3.06464176364844 ;\n",
+      "Epoch 130/1000, Cost: 3.7678\n",
+      " and the parameters are [-1.73141134  2.50781274] -3.0645818670075475 ;\n",
+      "Epoch 130/1000, Cost: 4.2379\n",
+      " and the parameters are [-1.73137651  2.50790415] -3.0646084379591083 ;\n",
+      "Epoch 130/1000, Cost: 5.5295\n",
+      " and the parameters are [-1.7314249   2.50787395] -3.0647065985005577 ;\n",
+      "Epoch 130/1000, Cost: 3.0937\n",
+      " and the parameters are [-1.73142737  2.50797521] -3.064717442278929 ;\n",
+      "Epoch 130/1000, Cost: 4.8776\n",
+      " and the parameters are [-1.7313671   2.50803941] -3.064792622862096 ;\n",
+      "Epoch 130/1000, Cost: 6.2629\n",
+      " and the parameters are [-1.73139953  2.50804421] -3.064851922764802 ;\n",
+      "Epoch 130/1000, Cost: 6.4009\n",
+      " and the parameters are [-1.73146628  2.50794541] -3.064995988695936 ;\n",
+      "Epoch 130/1000, Cost: 7.8112\n",
+      " and the parameters are [-1.73154543  2.50783429] -3.065107029353046 ;\n",
+      "Epoch 130/1000, Cost: 2.6195\n",
+      " and the parameters are [-1.73155984  2.50791696] -3.0651240144347565 ;\n",
+      "Epoch 130/1000, Cost: 6.4317\n",
+      " and the parameters are [-1.73164139  2.50794384] -3.0651398864668944 ;\n",
+      "Epoch 130/1000, Cost: 3.6280\n",
+      " and the parameters are [-1.7317146   2.50799631] -3.0651388271867654 ;\n",
+      "Epoch 130/1000, Cost: 4.4474\n",
+      " and the parameters are [-1.73177223  2.50799103] -3.065209220203694 ;\n",
+      "Epoch 130/1000, Cost: 5.7064\n",
+      " and the parameters are [-1.73174134  2.50808664] -3.065262973906476 ;\n",
+      "Epoch 130/1000, Cost: 5.7626\n",
+      " and the parameters are [-1.73173228  2.50810609] -3.0653455727279035 ;\n",
+      "Epoch 130/1000, Cost: 5.5494\n",
+      " and the parameters are [-1.73170678  2.50835575] -3.0652325314332765 ;\n",
+      "Epoch 130/1000, Cost: 3.4727\n",
+      " and the parameters are [-1.73177203  2.50854506] -3.065154205521249 ;\n",
+      "Epoch 130/1000, Cost: 7.0624\n",
+      " and the parameters are [-1.73172416  2.50864183] -3.065206333568088 ;\n",
+      "Epoch 130/1000, Cost: 4.7740\n",
+      " and the parameters are [-1.73174022  2.50866981] -3.065260846303094 ;\n",
+      "Epoch 130/1000, Cost: 3.5097\n",
+      " and the parameters are [-1.73177487  2.50868927] -3.065322431406524 ;\n",
+      "Epoch 130/1000, Cost: 3.2624\n",
+      " and the parameters are [-1.73178897  2.50875587] -3.0653519526947415 ;\n",
+      "Epoch 130/1000, Cost: 5.7601\n",
+      " and the parameters are [-1.73176114  2.50889049] -3.0653390201890516 ;\n",
+      "Epoch 130/1000, Cost: 4.4701\n",
+      " and the parameters are [-1.7317209   2.50900565] -3.0653678356633303 ;\n",
+      "Epoch 130/1000, Cost: 4.3135\n",
+      " and the parameters are [-1.73175763  2.5090781 ] -3.0653954115846256 ;\n",
+      "Epoch 130/1000, Cost: 5.3007\n",
+      " and the parameters are [-1.73175278  2.50909109] -3.06549773180064 ;\n",
+      "Epoch 130/1000, Cost: 4.9948\n",
+      " and the parameters are [-1.73182854  2.50916998] -3.065506664755471 ;\n",
+      "Epoch 130/1000, Cost: 4.1808\n",
+      " and the parameters are [-1.73180296  2.50939049] -3.0654352003924012 ;\n",
+      "Epoch 130/1000, Cost: 4.7827\n",
+      " and the parameters are [-1.73184078  2.50938779] -3.065498367911924 ;\n",
+      "Epoch 130/1000, Cost: 5.4027\n",
+      " and the parameters are [-1.73179731  2.50945933] -3.0655358369956507 ;\n",
+      "Epoch 130/1000, Cost: 3.6742\n",
+      " and the parameters are [-1.73177705  2.50953006] -3.065581911973248 ;\n",
+      "Epoch 130/1000, Cost: 4.5514\n",
+      " and the parameters are [-1.73170823  2.50970593] -3.0655614300620146 ;\n",
+      "Epoch 130/1000, Cost: 2.9965\n",
+      " and the parameters are [-1.73175108  2.5097458 ] -3.065598112654299 ;\n",
+      "Epoch 130/1000, Cost: 4.1095\n",
+      " and the parameters are [-1.7317802   2.50983444] -3.0656180916024445 ;\n",
+      "Epoch 130/1000, Cost: 3.5929\n",
+      " and the parameters are [-1.73178828  2.51000841] -3.065551229097398 ;\n",
+      "Epoch 130/1000, Cost: 3.2490\n",
+      " and the parameters are [-1.73180862  2.51007324] -3.065590357262576 ;\n",
+      "Epoch 130/1000, Cost: 7.0426\n",
+      " and the parameters are [-1.73191681  2.50989089] -3.0657293665197964 ;\n",
+      "Epoch 130/1000, Cost: 7.7800\n",
+      " and the parameters are [-1.73191443  2.51001661] -3.065704683937029 ;\n",
+      "Epoch 130/1000, Cost: 5.6891\n",
+      " and the parameters are [-1.73195435  2.51004048] -3.06575783569177 ;\n",
+      "Epoch 130/1000, Cost: 7.0951\n",
+      " and the parameters are [-1.7320654   2.51002332] -3.0657851401559166 ;\n",
+      "Epoch 130/1000, Cost: 5.2613\n",
+      " and the parameters are [-1.73215584  2.51010881] -3.0657540444631803 ;\n",
+      "Epoch 130/1000, Cost: 5.6161\n",
+      " and the parameters are [-1.73218408  2.51021543] -3.065747510770832 ;\n",
+      "Epoch 130/1000, Cost: 5.1456\n",
+      " and the parameters are [-1.73221519  2.51017336] -3.065882525037408 ;\n",
+      "Epoch 130/1000, Cost: 7.6665\n",
+      " and the parameters are [-1.73221193  2.51025627] -3.065879641983157 ;\n",
+      "Epoch 130/1000, Cost: 3.5831\n",
+      " and the parameters are [-1.73228211  2.51021854] -3.065951872549395 ;\n",
+      "Epoch 130/1000, Cost: 3.1929\n",
+      " and the parameters are [-1.73223693  2.51033655] -3.0659618663631916 ;\n",
+      "Epoch 130/1000, Cost: 4.0909\n",
+      " and the parameters are [-1.7323355   2.51042732] -3.065928806668835 ;\n",
+      "Epoch 130/1000, Cost: 5.3943\n",
+      " and the parameters are [-1.7323156  2.5105418] -3.0659484731590667 ;\n",
+      "Epoch 130/1000, Cost: 4.6596\n",
+      " and the parameters are [-1.73228973  2.51057271] -3.0660133654473882 ;\n",
+      "Epoch 130/1000, Cost: 3.1443\n",
+      " and the parameters are [-1.73230844  2.51063014] -3.066050981802586 ;\n",
+      "Epoch 130/1000, Cost: 3.0747\n",
+      " and the parameters are [-1.73228692  2.51072533] -3.0660720073286956 ;\n",
+      "Epoch 130/1000, Cost: 7.7622\n",
+      " and the parameters are [-1.73233238  2.51062986] -3.066175202580816 ;\n",
+      "Epoch 130/1000, Cost: 3.4112\n",
+      " and the parameters are [-1.73240492  2.51071468] -3.0661596520588192 ;\n",
+      "Epoch 130/1000, Cost: 4.3216\n",
+      " and the parameters are [-1.73237435  2.51082315] -3.06618529975 ;\n",
+      "Epoch 130/1000, Cost: 4.8811\n",
+      " and the parameters are [-1.73238296  2.51077699] -3.066286714488255 ;\n",
+      "Epoch 130/1000, Cost: 4.2821\n",
+      " and the parameters are [-1.73242888  2.510787  ] -3.066363072177527 ;\n",
+      "Epoch 130/1000, Cost: 4.5649\n",
+      " and the parameters are [-1.7325073   2.51084801] -3.0663666087671615 ;\n",
+      "Epoch 130/1000, Cost: 5.8710\n",
+      " and the parameters are [-1.73251    2.5108743] -3.0663970579971322 ;\n",
+      "Epoch 130/1000, Cost: 5.6425\n",
+      " and the parameters are [-1.73263402  2.51090054] -3.0663992453243054 ;\n",
+      "Epoch 130/1000, Cost: 3.4573\n",
+      " and the parameters are [-1.73265577  2.51091037] -3.066479471344659 ;\n",
+      "Epoch 130/1000, Cost: 5.3857\n",
+      " and the parameters are [-1.73274574  2.51095924] -3.0664578765314627 ;\n",
+      "Epoch 130/1000, Cost: 4.9202\n",
+      " and the parameters are [-1.73273013  2.5109278 ] -3.0665650065328585 ;\n",
+      "Epoch 130/1000, Cost: 4.2985\n",
+      " and the parameters are [-1.73267715  2.51103378] -3.066594583606095 ;\n",
+      "Epoch 130/1000, Cost: 6.7545\n",
+      " and the parameters are [-1.73265599  2.51099761] -3.0666880174358204 ;\n",
+      "Epoch 130/1000, Cost: 9.4195\n",
+      " and the parameters are [-1.73273634  2.51074378] -3.066899026855917 ;\n",
+      "Epoch 130/1000, Cost: 7.1609\n",
+      " and the parameters are [-1.73283154  2.51066619] -3.067017501228453 ;\n",
+      "Epoch 130/1000, Cost: 6.2176\n",
+      " and the parameters are [-1.73278588  2.51070472] -3.0671103676197022 ;\n",
+      "Epoch 130/1000, Cost: 4.2553\n",
+      " and the parameters are [-1.73278861  2.5107331 ] -3.0671757667395 ;\n",
+      "Epoch 130/1000, Cost: 4.2878\n",
+      " and the parameters are [-1.73278324  2.51085422] -3.0671676383572364 ;\n",
+      "Epoch 130/1000, Cost: 7.3872\n",
+      " and the parameters are [-1.73270686  2.51091283] -3.0671846163230367 ;\n",
+      "Epoch 130/1000, Cost: 3.6678\n",
+      " and the parameters are [-1.73272958  2.51095789] -3.0672454801793423 ;\n",
+      "Epoch 130/1000, Cost: 4.3605\n",
+      " and the parameters are [-1.7327569   2.51091161] -3.0673445565252546 ;\n",
+      "Epoch 130/1000, Cost: 3.3746\n",
+      " and the parameters are [-1.73278906  2.51100619] -3.067339228684457 ;\n",
+      "Epoch 130/1000, Cost: 5.8200\n",
+      " and the parameters are [-1.7328091   2.51096655] -3.067454209992488 ;\n",
+      "Epoch 130/1000, Cost: 5.7725\n",
+      " and the parameters are [-1.73281966  2.51107176] -3.067452792717603 ;\n",
+      "Epoch 130/1000, Cost: 4.8726\n",
+      " and the parameters are [-1.73287752  2.51114235] -3.0674670699809385 ;\n",
+      "Epoch 130/1000, Cost: 5.4020\n",
+      " and the parameters are [-1.73293625  2.51129613] -3.0674076102829027 ;\n",
+      "Epoch 130/1000, Cost: 4.5568\n",
+      " and the parameters are [-1.7329716   2.51138677] -3.0674048886508727 ;\n",
+      "Epoch 130/1000, Cost: 6.2058\n",
+      " and the parameters are [-1.73306951  2.51126401] -3.06750862959717 ;\n",
+      "Epoch 130/1000, Cost: 3.6532\n",
+      " and the parameters are [-1.73308126  2.51143285] -3.0674640909658137 ;\n",
+      "Epoch 130/1000, Cost: 8.1231\n",
+      " and the parameters are [-1.73309721  2.51133242] -3.0676091401273906 ;\n",
+      "Epoch 130/1000, Cost: 5.4340\n",
+      " and the parameters are [-1.73315318  2.51139377] -3.0676159300448 ;\n",
+      "Epoch 130/1000, Cost: 5.5599\n",
+      " and the parameters are [-1.73313083  2.51155281] -3.067609256544717 ;\n",
+      "Epoch 130/1000, Cost: 5.9755\n",
+      " and the parameters are [-1.73313063  2.5115824 ] -3.067677406229243 ;\n",
+      "Epoch 130/1000, Cost: 6.2550\n",
+      " and the parameters are [-1.73320429  2.51148582] -3.0677925638484744 ;\n",
+      "Epoch 130/1000, Cost: 5.4603\n",
+      " and the parameters are [-1.73334801  2.5113796 ] -3.0678668439623884 ;\n",
+      "Epoch 130/1000, Cost: 5.6707\n",
+      " and the parameters are [-1.7334472   2.51132308] -3.067920809474084 ;\n",
+      "Epoch 130/1000, Cost: 6.7732\n",
+      " and the parameters are [-1.73345809  2.51123177] -3.0680652985598815 ;\n",
+      "Epoch 130/1000, Cost: 4.3739\n",
+      " and the parameters are [-1.73355572  2.51123084] -3.0681140588530216 ;\n",
+      "Epoch 130/1000, Cost: 7.3374\n",
+      " and the parameters are [-1.73364574  2.51114407] -3.0681811929547225 ;\n",
+      "Epoch 130/1000, Cost: 6.3484\n",
+      " and the parameters are [-1.73367615  2.51119773] -3.0682197645209532 ;\n",
+      "Epoch 130/1000, Cost: 6.7170\n",
+      " and the parameters are [-1.73357115  2.51122037] -3.0683424663759418 ;\n",
+      "Epoch 130/1000, Cost: 4.3507\n",
+      " and the parameters are [-1.7336082  2.5112766] -3.0683704073116296 ;\n",
+      "Epoch 130/1000, Cost: 5.0559\n",
+      " and the parameters are [-1.73368193  2.51123798] -3.068445377964078 ;\n",
+      "Epoch 130/1000, Cost: 5.4021\n",
+      " and the parameters are [-1.73372008  2.51122572] -3.0685213588115388 ;\n",
+      "Epoch 130/1000, Cost: 7.1461\n",
+      " and the parameters are [-1.73381338  2.51105237] -3.068688312581085 ;\n",
+      "Epoch 130/1000, Cost: 5.8866\n",
+      " and the parameters are [-1.73393436  2.51102769] -3.0686977604961294 ;\n",
+      "Epoch 130/1000, Cost: 6.0947\n",
+      " and the parameters are [-1.73393311  2.51103686] -3.068773090757221 ;\n",
+      "Epoch 130/1000, Cost: 5.5597\n",
+      " and the parameters are [-1.73388016  2.51107492] -3.0688654487635865 ;\n",
+      "Epoch 130/1000, Cost: 5.4092\n",
+      " and the parameters are [-1.73382658  2.51106329] -3.068990762758277 ;\n",
+      "Epoch 130/1000, Cost: 3.8114\n",
+      " and the parameters are [-1.73383082  2.51116567] -3.069010806386526 ;\n",
+      "Epoch 130/1000, Cost: 3.7789\n",
+      " and the parameters are [-1.73385521  2.51125088] -3.069036243025796 ;\n",
+      "Epoch 130/1000, Cost: 4.9743\n",
+      " and the parameters are [-1.73398898  2.5112323 ] -3.0690652053226057 ;\n",
+      "Epoch 130/1000, Cost: 4.3474\n",
+      " and the parameters are [-1.7340564   2.51133314] -3.069036981371588 ;\n",
+      "Epoch 130/1000, Cost: 4.7831\n",
+      " and the parameters are [-1.73406282  2.51138523] -3.069111590984683 ;\n",
+      "Epoch 140/1000, Cost: 4.0541\n",
+      " and the parameters are [-1.78075542  2.56699122] -3.152008910765628 ;\n",
+      "Epoch 140/1000, Cost: 5.3565\n",
+      " and the parameters are [-1.78073235  2.56702904] -3.1520812730144683 ;\n",
+      "Epoch 140/1000, Cost: 4.6513\n",
+      " and the parameters are [-1.78071835  2.56705625] -3.152139299923577 ;\n",
+      "Epoch 140/1000, Cost: 4.3869\n",
+      " and the parameters are [-1.78069933  2.56723389] -3.152099877986017 ;\n",
+      "Epoch 140/1000, Cost: 5.4246\n",
+      " and the parameters are [-1.78082535  2.56712563] -3.152211096637864 ;\n",
+      "Epoch 140/1000, Cost: 4.2516\n",
+      " and the parameters are [-1.78079693  2.56739741] -3.152090791690159 ;\n",
+      "Epoch 140/1000, Cost: 5.5175\n",
+      " and the parameters are [-1.7808187   2.56736053] -3.1521895739833146 ;\n",
+      "Epoch 140/1000, Cost: 4.2577\n",
+      " and the parameters are [-1.78084331  2.5673924 ] -3.15224372948743 ;\n",
+      "Epoch 140/1000, Cost: 3.7136\n",
+      " and the parameters are [-1.78092068  2.56750814] -3.152187585282957 ;\n",
+      "Epoch 140/1000, Cost: 5.6352\n",
+      " and the parameters are [-1.78088243  2.56755801] -3.1522672160609555 ;\n",
+      "Epoch 140/1000, Cost: 3.8663\n",
+      " and the parameters are [-1.78081343  2.56761752] -3.152329940782397 ;\n",
+      "Epoch 140/1000, Cost: 3.0163\n",
+      " and the parameters are [-1.78083417  2.56769762] -3.15232502966796 ;\n",
+      "Epoch 140/1000, Cost: 2.5929\n",
+      " and the parameters are [-1.7808441   2.56773451] -3.152376294455002 ;\n",
+      "Epoch 140/1000, Cost: 1.6042\n",
+      " and the parameters are [-1.78085055  2.56781017] -3.1523787491530366 ;\n",
+      "Epoch 140/1000, Cost: 4.9713\n",
+      " and the parameters are [-1.78086076  2.56791088] -3.152396999485608 ;\n",
+      "Epoch 140/1000, Cost: 6.1785\n",
+      " and the parameters are [-1.78084993  2.56785708] -3.1525150449256456 ;\n",
+      "Epoch 140/1000, Cost: 3.6414\n",
+      " and the parameters are [-1.78084906  2.56791269] -3.1525714833710206 ;\n",
+      "Epoch 140/1000, Cost: 6.5245\n",
+      " and the parameters are [-1.78093437  2.56799928] -3.152529162133322 ;\n",
+      "Epoch 140/1000, Cost: 9.7597\n",
+      " and the parameters are [-1.78091165  2.56801736] -3.1526051499520045 ;\n",
+      "Epoch 140/1000, Cost: 5.1183\n",
+      " and the parameters are [-1.78092872  2.56805345] -3.1526698650199374 ;\n",
+      "Epoch 140/1000, Cost: 8.7856\n",
+      " and the parameters are [-1.78119056  2.56774645] -3.1528430204370332 ;\n",
+      "Epoch 140/1000, Cost: 3.7252\n",
+      " and the parameters are [-1.78120489  2.56785153] -3.152846623564521 ;\n",
+      "Epoch 140/1000, Cost: 6.8617\n",
+      " and the parameters are [-1.78137237  2.5677331 ] -3.1529138587882635 ;\n",
+      "Epoch 140/1000, Cost: 4.3230\n",
+      " and the parameters are [-1.78140816  2.56776091] -3.1529703228755155 ;\n",
+      "Epoch 140/1000, Cost: 4.4101\n",
+      " and the parameters are [-1.78145246  2.56775515] -3.1530360184441486 ;\n",
+      "Epoch 140/1000, Cost: 3.7144\n",
+      " and the parameters are [-1.78140778  2.56776643] -3.1531353459503446 ;\n",
+      "Epoch 140/1000, Cost: 3.1332\n",
+      " and the parameters are [-1.78139742  2.56788975] -3.153131212325827 ;\n",
+      "Epoch 140/1000, Cost: 4.4817\n",
+      " and the parameters are [-1.78143158  2.56795419] -3.153140403199412 ;\n",
+      "Epoch 140/1000, Cost: 3.7648\n",
+      " and the parameters are [-1.78147436  2.56800332] -3.1531741811135285 ;\n",
+      "Epoch 140/1000, Cost: 3.9552\n",
+      " and the parameters are [-1.78146144  2.56807701] -3.1532177060051496 ;\n",
+      "Epoch 140/1000, Cost: 4.6236\n",
+      " and the parameters are [-1.78151274  2.56805346] -3.1532984765931324 ;\n",
+      "Epoch 140/1000, Cost: 5.3017\n",
+      " and the parameters are [-1.78147629  2.568128  ] -3.1533561306504767 ;\n",
+      "Epoch 140/1000, Cost: 4.5910\n",
+      " and the parameters are [-1.78150718  2.56820021] -3.153357468375411 ;\n",
+      "Epoch 140/1000, Cost: 3.6323\n",
+      " and the parameters are [-1.78148317  2.56827327] -3.1534029575215285 ;\n",
+      "Epoch 140/1000, Cost: 3.3797\n",
+      " and the parameters are [-1.78145892  2.56836878] -3.153430086249527 ;\n",
+      "Epoch 140/1000, Cost: 4.6680\n",
+      " and the parameters are [-1.78147543  2.56837631] -3.1535064936773276 ;\n",
+      "Epoch 140/1000, Cost: 5.2177\n",
+      " and the parameters are [-1.78154948  2.56829055] -3.153630197469475 ;\n",
+      "Epoch 140/1000, Cost: 6.3799\n",
+      " and the parameters are [-1.78160272  2.56827476] -3.153684437536507 ;\n",
+      "Epoch 140/1000, Cost: 3.5210\n",
+      " and the parameters are [-1.7816413   2.56837102] -3.153674259748183 ;\n",
+      "Epoch 140/1000, Cost: 4.6517\n",
+      " and the parameters are [-1.78164863  2.56842497] -3.1537166617545633 ;\n",
+      "Epoch 140/1000, Cost: 5.6828\n",
+      " and the parameters are [-1.7818031   2.56845084] -3.153695275453608 ;\n",
+      "Epoch 140/1000, Cost: 3.6849\n",
+      " and the parameters are [-1.78178556  2.56857431] -3.1536912418721803 ;\n",
+      "Epoch 140/1000, Cost: 4.8687\n",
+      " and the parameters are [-1.78177262  2.56864351] -3.1537447495374584 ;\n",
+      "Epoch 140/1000, Cost: 5.7311\n",
+      " and the parameters are [-1.78181687  2.56870187] -3.153753112049111 ;\n",
+      "Epoch 140/1000, Cost: 3.3703\n",
+      " and the parameters are [-1.78186864  2.56877865] -3.1537639705975162 ;\n",
+      "Epoch 140/1000, Cost: 5.6608\n",
+      " and the parameters are [-1.7819467   2.56874788] -3.1538344081708933 ;\n",
+      "Epoch 140/1000, Cost: 6.7191\n",
+      " and the parameters are [-1.78195482  2.56874149] -3.1538772500313605 ;\n",
+      "Epoch 140/1000, Cost: 3.1617\n",
+      " and the parameters are [-1.78191225  2.5689379 ] -3.1538267368751978 ;\n",
+      "Epoch 140/1000, Cost: 7.1591\n",
+      " and the parameters are [-1.78201241  2.56882029] -3.1539315428210357 ;\n",
+      "Epoch 140/1000, Cost: 3.0267\n",
+      " and the parameters are [-1.78197933  2.56887158] -3.153996741344875 ;\n",
+      "Epoch 140/1000, Cost: 3.2589\n",
+      " and the parameters are [-1.78191824  2.56907031] -3.1539493912721674 ;\n",
+      "Epoch 140/1000, Cost: 3.9440\n",
+      " and the parameters are [-1.78193698  2.56910227] -3.1539931873239953 ;\n",
+      "Epoch 140/1000, Cost: 5.5896\n",
+      " and the parameters are [-1.78196771  2.56908015] -3.1540843711459146 ;\n",
+      "Epoch 140/1000, Cost: 3.6364\n",
+      " and the parameters are [-1.78199388  2.56910493] -3.1541353023670777 ;\n",
+      "Epoch 140/1000, Cost: 3.3402\n",
+      " and the parameters are [-1.78204863  2.56916501] -3.154125393790982 ;\n",
+      "Epoch 140/1000, Cost: 3.5349\n",
+      " and the parameters are [-1.78204242  2.5692303 ] -3.1541646163106374 ;\n",
+      "Epoch 140/1000, Cost: 4.0715\n",
+      " and the parameters are [-1.78201396  2.5693843 ] -3.154152209587478 ;\n",
+      "Epoch 140/1000, Cost: 6.2490\n",
+      " and the parameters are [-1.78203089  2.56935564] -3.1542388588039816 ;\n",
+      "Epoch 140/1000, Cost: 4.7377\n",
+      " and the parameters are [-1.7820075   2.56951513] -3.15420615616895 ;\n",
+      "Epoch 140/1000, Cost: 4.8311\n",
+      " and the parameters are [-1.78202198  2.56948606] -3.154311209784398 ;\n",
+      "Epoch 140/1000, Cost: 4.8394\n",
+      " and the parameters are [-1.78205516  2.56949662] -3.1543821886136154 ;\n",
+      "Epoch 140/1000, Cost: 5.3286\n",
+      " and the parameters are [-1.78208792  2.56936847] -3.1545392737816607 ;\n",
+      "Epoch 140/1000, Cost: 5.2479\n",
+      " and the parameters are [-1.78217844  2.56931304] -3.1546347328492574 ;\n",
+      "Epoch 140/1000, Cost: 5.0149\n",
+      " and the parameters are [-1.78213957  2.56938813] -3.1546616502929337 ;\n",
+      "Epoch 140/1000, Cost: 3.3309\n",
+      " and the parameters are [-1.78210957  2.56940203] -3.1547470884171327 ;\n",
+      "Epoch 140/1000, Cost: 5.3564\n",
+      " and the parameters are [-1.78209437  2.5694259 ] -3.1548208172920167 ;\n",
+      "Epoch 140/1000, Cost: 4.1845\n",
+      " and the parameters are [-1.78214975  2.56937212] -3.1549248401315593 ;\n",
+      "Epoch 140/1000, Cost: 5.4660\n",
+      " and the parameters are [-1.78224015  2.56934829] -3.154989638484592 ;\n",
+      "Epoch 140/1000, Cost: 4.9745\n",
+      " and the parameters are [-1.78230623  2.56938117] -3.1550063676053304 ;\n",
+      "Epoch 140/1000, Cost: 3.2392\n",
+      " and the parameters are [-1.78228956  2.56939255] -3.155090946253871 ;\n",
+      "Epoch 140/1000, Cost: 3.6117\n",
+      " and the parameters are [-1.78229587  2.56955706] -3.155054362945047 ;\n",
+      "Epoch 140/1000, Cost: 3.7095\n",
+      " and the parameters are [-1.78232993  2.56957291] -3.155123165678236 ;\n",
+      "Epoch 140/1000, Cost: 6.6479\n",
+      " and the parameters are [-1.78246697  2.56948751] -3.155184506069043 ;\n",
+      "Epoch 140/1000, Cost: 3.6353\n",
+      " and the parameters are [-1.78249044  2.56964902] -3.155115700487728 ;\n",
+      "Epoch 140/1000, Cost: 6.0234\n",
+      " and the parameters are [-1.78257515  2.5695455 ] -3.1551952254337605 ;\n",
+      "Epoch 140/1000, Cost: 5.1525\n",
+      " and the parameters are [-1.78262061  2.56953351] -3.1552737897838217 ;\n",
+      "Epoch 140/1000, Cost: 4.1229\n",
+      " and the parameters are [-1.78269846  2.56948049] -3.155358554609876 ;\n",
+      "Epoch 140/1000, Cost: 6.9342\n",
+      " and the parameters are [-1.78280963  2.5694016 ] -3.1554348392823317 ;\n",
+      "Epoch 140/1000, Cost: 6.0592\n",
+      " and the parameters are [-1.78285634  2.56941201] -3.155505630809382 ;\n",
+      "Epoch 140/1000, Cost: 3.7179\n",
+      " and the parameters are [-1.78281501  2.56944218] -3.1555791125240478 ;\n",
+      "Epoch 140/1000, Cost: 5.2309\n",
+      " and the parameters are [-1.78293789  2.56939844] -3.155641122891754 ;\n",
+      "Epoch 140/1000, Cost: 3.5813\n",
+      " and the parameters are [-1.78285472  2.56945868] -3.1557206616476985 ;\n",
+      "Epoch 140/1000, Cost: 5.8091\n",
+      " and the parameters are [-1.78298673  2.56945762] -3.155710238355115 ;\n",
+      "Epoch 140/1000, Cost: 3.4823\n",
+      " and the parameters are [-1.78307232  2.56940101] -3.1557977629436045 ;\n",
+      "Epoch 140/1000, Cost: 4.0172\n",
+      " and the parameters are [-1.78306376  2.56953667] -3.1557822179318995 ;\n",
+      "Epoch 140/1000, Cost: 7.5670\n",
+      " and the parameters are [-1.78303829  2.56948571] -3.155880488208962 ;\n",
+      "Epoch 140/1000, Cost: 4.7165\n",
+      " and the parameters are [-1.78305878  2.56961487] -3.1558414169934017 ;\n",
+      "Epoch 140/1000, Cost: 3.7199\n",
+      " and the parameters are [-1.78317273  2.56956442] -3.155899451986302 ;\n",
+      "Epoch 140/1000, Cost: 5.3883\n",
+      " and the parameters are [-1.78320174  2.56955493] -3.1559655796126234 ;\n",
+      "Epoch 140/1000, Cost: 5.2087\n",
+      " and the parameters are [-1.78318017  2.5695843 ] -3.1560336588435676 ;\n",
+      "Epoch 140/1000, Cost: 4.5436\n",
+      " and the parameters are [-1.78325639  2.56959903] -3.1560835531229374 ;\n",
+      "Epoch 140/1000, Cost: 6.1270\n",
+      " and the parameters are [-1.78323524  2.56963533] -3.1561429316891125 ;\n",
+      "Epoch 140/1000, Cost: 4.2725\n",
+      " and the parameters are [-1.7832682   2.56969115] -3.1561583329521183 ;\n",
+      "Epoch 140/1000, Cost: 4.1341\n",
+      " and the parameters are [-1.7832525   2.56964814] -3.15629113627368 ;\n",
+      "Epoch 140/1000, Cost: 5.7898\n",
+      " and the parameters are [-1.78327633  2.56956774] -3.1564172200430263 ;\n",
+      "Epoch 140/1000, Cost: 5.3896\n",
+      " and the parameters are [-1.78318723  2.56963038] -3.156529297857418 ;\n",
+      "Epoch 140/1000, Cost: 4.6128\n",
+      " and the parameters are [-1.78324169  2.56966943] -3.156570631637651 ;\n",
+      "Epoch 140/1000, Cost: 10.9793\n",
+      " and the parameters are [-1.78319617  2.56975431] -3.156542902697901 ;\n",
+      "Epoch 140/1000, Cost: 7.3773\n",
+      " and the parameters are [-1.78325196  2.56980982] -3.1565621444549956 ;\n",
+      "Epoch 140/1000, Cost: 5.0624\n",
+      " and the parameters are [-1.78327278  2.56984483] -3.156576154102742 ;\n",
+      "Epoch 140/1000, Cost: 4.1734\n",
+      " and the parameters are [-1.78329767  2.56980693] -3.156690946808364 ;\n",
+      "Epoch 140/1000, Cost: 3.9326\n",
+      " and the parameters are [-1.78330104  2.5699034 ] -3.156715217406554 ;\n",
+      "Epoch 140/1000, Cost: 3.7272\n",
+      " and the parameters are [-1.78333193  2.56992531] -3.1567705452915384 ;\n",
+      "Epoch 140/1000, Cost: 4.8644\n",
+      " and the parameters are [-1.7832026   2.57022375] -3.156714505218958 ;\n",
+      "Epoch 140/1000, Cost: 3.3767\n",
+      " and the parameters are [-1.7832185   2.57023748] -3.1567807732741078 ;\n",
+      "Epoch 140/1000, Cost: 2.4261\n",
+      " and the parameters are [-1.78325637  2.57024625] -3.156834394237875 ;\n",
+      "Epoch 140/1000, Cost: 7.2246\n",
+      " and the parameters are [-1.78325182  2.57028674] -3.1568760584377795 ;\n",
+      "Epoch 140/1000, Cost: 4.1426\n",
+      " and the parameters are [-1.78330044  2.57026207] -3.1569661687649466 ;\n",
+      "Epoch 140/1000, Cost: 5.1447\n",
+      " and the parameters are [-1.78341837  2.57024952] -3.1570097650672952 ;\n",
+      "Epoch 140/1000, Cost: 3.2214\n",
+      " and the parameters are [-1.78343167  2.57033594] -3.1570256737889744 ;\n",
+      "Epoch 140/1000, Cost: 5.4379\n",
+      " and the parameters are [-1.78349996  2.57028438] -3.157114983021719 ;\n",
+      "Epoch 140/1000, Cost: 6.2188\n",
+      " and the parameters are [-1.78350087  2.57017545] -3.15729808537122 ;\n",
+      "Epoch 140/1000, Cost: 3.4590\n",
+      " and the parameters are [-1.78346713  2.57023398] -3.1573643690181776 ;\n",
+      "Epoch 140/1000, Cost: 4.3870\n",
+      " and the parameters are [-1.7835438   2.57016566] -3.1574521684753916 ;\n",
+      "Epoch 140/1000, Cost: 4.3933\n",
+      " and the parameters are [-1.78355993  2.57029485] -3.1574353226997744 ;\n",
+      "Epoch 140/1000, Cost: 6.3605\n",
+      " and the parameters are [-1.78361085  2.57022455] -3.157562133610894 ;\n",
+      "Epoch 140/1000, Cost: 6.2127\n",
+      " and the parameters are [-1.78364708  2.57023971] -3.1575959206607886 ;\n",
+      "Epoch 140/1000, Cost: 4.9237\n",
+      " and the parameters are [-1.78364364  2.57028912] -3.157632676240822 ;\n",
+      "Epoch 140/1000, Cost: 3.8496\n",
+      " and the parameters are [-1.78369031  2.57036698] -3.1576307379395354 ;\n",
+      "Epoch 140/1000, Cost: 2.9866\n",
+      " and the parameters are [-1.78369615  2.57045826] -3.1576246827953294 ;\n",
+      "Epoch 140/1000, Cost: 3.7107\n",
+      " and the parameters are [-1.78375094  2.57049021] -3.1576586324341336 ;\n",
+      "Epoch 140/1000, Cost: 6.4784\n",
+      " and the parameters are [-1.78378546  2.57055979] -3.157650478262812 ;\n",
+      "Epoch 140/1000, Cost: 3.5198\n",
+      " and the parameters are [-1.78384754  2.5705174 ] -3.1577533996089375 ;\n",
+      "Epoch 140/1000, Cost: 3.6798\n",
+      " and the parameters are [-1.78389912  2.57061599] -3.157727310069025 ;\n",
+      "Epoch 140/1000, Cost: 7.1736\n",
+      " and the parameters are [-1.78390457  2.5705697 ] -3.157799774100253 ;\n",
+      "Epoch 140/1000, Cost: 4.1517\n",
+      " and the parameters are [-1.78382269  2.57060146] -3.1578969045743253 ;\n",
+      "Epoch 140/1000, Cost: 7.5789\n",
+      " and the parameters are [-1.78380903  2.57068166] -3.1579020032038754 ;\n",
+      "Epoch 140/1000, Cost: 7.0476\n",
+      " and the parameters are [-1.7837807   2.57069179] -3.157987612966025 ;\n",
+      "Epoch 140/1000, Cost: 6.4222\n",
+      " and the parameters are [-1.7837244   2.57069799] -3.1580979317672155 ;\n",
+      "Epoch 140/1000, Cost: 5.9123\n",
+      " and the parameters are [-1.78378498  2.57074014] -3.1580909698620676 ;\n",
+      "Epoch 140/1000, Cost: 7.2774\n",
+      " and the parameters are [-1.78386144  2.5708313 ] -3.1580409968361742 ;\n",
+      "Epoch 140/1000, Cost: 5.8869\n",
+      " and the parameters are [-1.78394267  2.57089245] -3.158026337354959 ;\n",
+      "Epoch 140/1000, Cost: 6.1307\n",
+      " and the parameters are [-1.78388286  2.57094288] -3.158065945621668 ;\n",
+      "Epoch 140/1000, Cost: 6.0430\n",
+      " and the parameters are [-1.78386972  2.57094579] -3.1581365749610795 ;\n",
+      "Epoch 140/1000, Cost: 4.9886\n",
+      " and the parameters are [-1.78399332  2.57085391] -3.158203570707006 ;\n",
+      "Epoch 140/1000, Cost: 4.7791\n",
+      " and the parameters are [-1.78393597  2.57096265] -3.158243209555723 ;\n",
+      "Epoch 140/1000, Cost: 4.3862\n",
+      " and the parameters are [-1.78397652  2.5709873 ] -3.1582951461981246 ;\n",
+      "Epoch 140/1000, Cost: 3.8107\n",
+      " and the parameters are [-1.78403621  2.57099546] -3.1583232191119484 ;\n",
+      "Epoch 140/1000, Cost: 4.1651\n",
+      " and the parameters are [-1.78399488  2.57102441] -3.1584189680277595 ;\n",
+      "Epoch 140/1000, Cost: 3.3055\n",
+      " and the parameters are [-1.78399847  2.57109628] -3.1584575956531755 ;\n",
+      "Epoch 140/1000, Cost: 4.9881\n",
+      " and the parameters are [-1.78408353  2.57107054] -3.1584986597847142 ;\n",
+      "Epoch 140/1000, Cost: 2.2568\n",
+      " and the parameters are [-1.78409877  2.57116549] -3.158495212427141 ;\n",
+      "Epoch 140/1000, Cost: 4.9327\n",
+      " and the parameters are [-1.78408163  2.571241  ] -3.1585245527056522 ;\n",
+      "Epoch 140/1000, Cost: 7.5892\n",
+      " and the parameters are [-1.78411448  2.57127601] -3.1585275741050505 ;\n",
+      "Epoch 140/1000, Cost: 3.9880\n",
+      " and the parameters are [-1.78422545  2.5712839 ] -3.1585505364712363 ;\n",
+      "Epoch 140/1000, Cost: 3.9440\n",
+      " and the parameters are [-1.7842196   2.57137798] -3.1585915019824387 ;\n",
+      "Epoch 140/1000, Cost: 3.2548\n",
+      " and the parameters are [-1.78423584  2.57137933] -3.1586692526427393 ;\n",
+      "Epoch 140/1000, Cost: 5.1958\n",
+      " and the parameters are [-1.78422941  2.57134194] -3.1587877348577216 ;\n",
+      "Epoch 140/1000, Cost: 3.9865\n",
+      " and the parameters are [-1.78423838  2.57129567] -3.1588914087286235 ;\n",
+      "Epoch 140/1000, Cost: 4.3378\n",
+      " and the parameters are [-1.78430677  2.5713666 ] -3.1588784557376837 ;\n",
+      "Epoch 140/1000, Cost: 3.4668\n",
+      " and the parameters are [-1.78430761  2.57143468] -3.158903705176603 ;\n",
+      "Epoch 140/1000, Cost: 5.6865\n",
+      " and the parameters are [-1.78442643  2.57135909] -3.1589760432077925 ;\n",
+      "Epoch 140/1000, Cost: 5.3549\n",
+      " and the parameters are [-1.78447182  2.57130931] -3.15907050659738 ;\n",
+      "Epoch 140/1000, Cost: 5.6154\n",
+      " and the parameters are [-1.78453861  2.57118305] -3.159224027717569 ;\n",
+      "Epoch 140/1000, Cost: 5.8622\n",
+      " and the parameters are [-1.78468902  2.57116152] -3.1592473626392947 ;\n",
+      "Epoch 140/1000, Cost: 5.3746\n",
+      " and the parameters are [-1.7846699   2.57119333] -3.1593133561912383 ;\n",
+      "Epoch 140/1000, Cost: 4.1480\n",
+      " and the parameters are [-1.78471728  2.57132314] -3.1592859777357747 ;\n",
+      "Epoch 140/1000, Cost: 5.8564\n",
+      " and the parameters are [-1.78475993  2.57131433] -3.159348922842024 ;\n",
+      "Epoch 140/1000, Cost: 4.1981\n",
+      " and the parameters are [-1.78481137  2.57129225] -3.1594357022568014 ;\n",
+      "Epoch 140/1000, Cost: 5.0179\n",
+      " and the parameters are [-1.78493893  2.57120599] -3.1594840447513732 ;\n",
+      "Epoch 140/1000, Cost: 6.9374\n",
+      " and the parameters are [-1.78505736  2.57123495] -3.1594748981880016 ;\n",
+      "Epoch 140/1000, Cost: 3.7466\n",
+      " and the parameters are [-1.78507794  2.57135855] -3.159454089703705 ;\n",
+      "Epoch 140/1000, Cost: 7.0709\n",
+      " and the parameters are [-1.78506946  2.57132481] -3.1595675645066206 ;\n",
+      "Epoch 140/1000, Cost: 3.6201\n",
+      " and the parameters are [-1.78508104  2.57138693] -3.159600562493128 ;\n",
+      "Epoch 140/1000, Cost: 7.0130\n",
+      " and the parameters are [-1.78525659  2.57141703] -3.1595642731307025 ;\n",
+      "Epoch 140/1000, Cost: 4.2641\n",
+      " and the parameters are [-1.78529542  2.5714347 ] -3.1596160110681453 ;\n",
+      "Epoch 140/1000, Cost: 5.2831\n",
+      " and the parameters are [-1.78538237  2.57137879] -3.159698468611263 ;\n",
+      "Epoch 140/1000, Cost: 5.9043\n",
+      " and the parameters are [-1.78531074  2.57151268] -3.159661854242622 ;\n",
+      "Epoch 140/1000, Cost: 5.1436\n",
+      " and the parameters are [-1.78539676  2.57149051] -3.1597037515003876 ;\n",
+      "Epoch 140/1000, Cost: 3.9190\n",
+      " and the parameters are [-1.78536617  2.57163191] -3.1597002171675523 ;\n",
+      "Epoch 140/1000, Cost: 4.5802\n",
+      " and the parameters are [-1.78539954  2.57162433] -3.1597620192886824 ;\n",
+      "Epoch 140/1000, Cost: 3.0432\n",
+      " and the parameters are [-1.78541996  2.57171762] -3.1597722813238556 ;\n",
+      "Epoch 140/1000, Cost: 5.1624\n",
+      " and the parameters are [-1.78542251  2.57172729] -3.1598470860874253 ;\n",
+      "Epoch 140/1000, Cost: 6.8649\n",
+      " and the parameters are [-1.78547779  2.57166311] -3.1599383576438584 ;\n",
+      "Epoch 140/1000, Cost: 4.1715\n",
+      " and the parameters are [-1.78540578  2.5717332 ] -3.160002374214631 ;\n",
+      "Epoch 140/1000, Cost: 5.3322\n",
+      " and the parameters are [-1.7854119  2.5717498] -3.160054741236559 ;\n",
+      "Epoch 140/1000, Cost: 6.6921\n",
+      " and the parameters are [-1.78552657  2.57173421] -3.16009418846158 ;\n",
+      "Epoch 140/1000, Cost: 5.3881\n",
+      " and the parameters are [-1.78553847  2.57171357] -3.160185900916315 ;\n",
+      "Epoch 140/1000, Cost: 5.7113\n",
+      " and the parameters are [-1.78546969  2.57188494] -3.1601957132979774 ;\n",
+      "Epoch 140/1000, Cost: 4.3165\n",
+      " and the parameters are [-1.78549554  2.57188277] -3.160276347585901 ;\n",
+      "Epoch 140/1000, Cost: 5.3542\n",
+      " and the parameters are [-1.78549407  2.57207114] -3.160200068225162 ;\n",
+      "Epoch 140/1000, Cost: 4.4954\n",
+      " and the parameters are [-1.78551567  2.57205361] -3.160281193246589 ;\n",
+      "Epoch 140/1000, Cost: 4.3335\n",
+      " and the parameters are [-1.78553137  2.5720315 ] -3.1603868290009958 ;\n",
+      "Epoch 140/1000, Cost: 3.6086\n",
+      " and the parameters are [-1.78552534  2.57221904] -3.1603371376239133 ;\n",
+      "Epoch 140/1000, Cost: 4.5999\n",
+      " and the parameters are [-1.78547448  2.57242817] -3.1602706815438144 ;\n",
+      "Epoch 140/1000, Cost: 3.7840\n",
+      " and the parameters are [-1.78556686  2.57242111] -3.160324606894745 ;\n",
+      "Epoch 140/1000, Cost: 4.2969\n",
+      " and the parameters are [-1.78554981  2.57244951] -3.1603888207630084 ;\n",
+      "Epoch 140/1000, Cost: 4.2363\n",
+      " and the parameters are [-1.78554501  2.57249386] -3.160441949325623 ;\n",
+      "Epoch 140/1000, Cost: 5.0290\n",
+      " and the parameters are [-1.78558266  2.57259486] -3.160413820322251 ;\n",
+      "Epoch 140/1000, Cost: 5.9061\n",
+      " and the parameters are [-1.78558012  2.57267263] -3.160426865444004 ;\n",
+      "Epoch 140/1000, Cost: 4.8275\n",
+      " and the parameters are [-1.78554953  2.57281279] -3.1604327982414935 ;\n",
+      "Epoch 140/1000, Cost: 7.4359\n",
+      " and the parameters are [-1.78561524  2.57270977] -3.160525562040041 ;\n",
+      "Epoch 140/1000, Cost: 6.7520\n",
+      " and the parameters are [-1.7855299   2.57285169] -3.1605477478852437 ;\n",
+      "Epoch 140/1000, Cost: 8.1981\n",
+      " and the parameters are [-1.78559671  2.57281734] -3.160596944498724 ;\n",
+      "Epoch 140/1000, Cost: 5.1650\n",
+      " and the parameters are [-1.78564035  2.57281365] -3.1606586513322164 ;\n",
+      "Epoch 140/1000, Cost: 3.6130\n",
+      " and the parameters are [-1.78559001  2.57285027] -3.1607367791832317 ;\n",
+      "Epoch 140/1000, Cost: 5.5935\n",
+      " and the parameters are [-1.78560307  2.57295556] -3.160735614859366 ;\n",
+      "Epoch 140/1000, Cost: 6.1931\n",
+      " and the parameters are [-1.78567842  2.57288736] -3.1608384833251266 ;\n",
+      "Epoch 140/1000, Cost: 7.0624\n",
+      " and the parameters are [-1.78574963  2.5728541 ] -3.1608693138328645 ;\n",
+      "Epoch 140/1000, Cost: 5.7140\n",
+      " and the parameters are [-1.78581463  2.57275824] -3.160992039855021 ;\n",
+      "Epoch 150/1000, Cost: 3.8966\n",
+      " and the parameters are [-1.82975155  2.62506418] -3.238876905127819 ;\n",
+      "Epoch 150/1000, Cost: 6.0679\n",
+      " and the parameters are [-1.82982776  2.62511013] -3.238858033592982 ;\n",
+      "Epoch 150/1000, Cost: 3.1023\n",
+      " and the parameters are [-1.82989314  2.62510732] -3.2389063473339017 ;\n",
+      "Epoch 150/1000, Cost: 3.7166\n",
+      " and the parameters are [-1.82990117  2.62513894] -3.23896642881649 ;\n",
+      "Epoch 150/1000, Cost: 3.4791\n",
+      " and the parameters are [-1.8299474   2.62518337] -3.238987001505757 ;\n",
+      "Epoch 150/1000, Cost: 3.3255\n",
+      " and the parameters are [-1.83001488  2.62513349] -3.2390661981272375 ;\n",
+      "Epoch 150/1000, Cost: 3.6143\n",
+      " and the parameters are [-1.83004832  2.62518568] -3.2390794107570207 ;\n",
+      "Epoch 150/1000, Cost: 3.9528\n",
+      " and the parameters are [-1.83003706  2.62522182] -3.2391100052957604 ;\n",
+      "Epoch 150/1000, Cost: 4.9164\n",
+      " and the parameters are [-1.83005445  2.62532286] -3.239101906548537 ;\n",
+      "Epoch 150/1000, Cost: 6.2153\n",
+      " and the parameters are [-1.83016155  2.62517388] -3.239233159539643 ;\n",
+      "Epoch 150/1000, Cost: 5.8313\n",
+      " and the parameters are [-1.83023106  2.62511827] -3.2393051411418448 ;\n",
+      "Epoch 150/1000, Cost: 4.0524\n",
+      " and the parameters are [-1.83032751  2.6252282 ] -3.2392515747983808 ;\n",
+      "Epoch 150/1000, Cost: 3.8007\n",
+      " and the parameters are [-1.830378    2.62525489] -3.2392856431398473 ;\n",
+      "Epoch 150/1000, Cost: 3.0996\n",
+      " and the parameters are [-1.83041222  2.6252573 ] -3.239352188562552 ;\n",
+      "Epoch 150/1000, Cost: 3.4960\n",
+      " and the parameters are [-1.83041656  2.62532405] -3.2393834771288574 ;\n",
+      "Epoch 150/1000, Cost: 5.6783\n",
+      " and the parameters are [-1.83045248  2.62533269] -3.239417313181183 ;\n",
+      "Epoch 150/1000, Cost: 5.0619\n",
+      " and the parameters are [-1.83038579  2.62541529] -3.2394834865055446 ;\n",
+      "Epoch 150/1000, Cost: 4.7974\n",
+      " and the parameters are [-1.83041079  2.62548853] -3.239502676654879 ;\n",
+      "Epoch 150/1000, Cost: 4.8451\n",
+      " and the parameters are [-1.83042228  2.62541697] -3.239629802593582 ;\n",
+      "Epoch 150/1000, Cost: 3.7235\n",
+      " and the parameters are [-1.83039237  2.62542188] -3.2397362457108625 ;\n",
+      "Epoch 150/1000, Cost: 4.4630\n",
+      " and the parameters are [-1.83033046  2.62566914] -3.239659844256744 ;\n",
+      "Epoch 150/1000, Cost: 4.9967\n",
+      " and the parameters are [-1.8303567   2.62573851] -3.2396792987464322 ;\n",
+      "Epoch 150/1000, Cost: 10.7435\n",
+      " and the parameters are [-1.83032046  2.62570848] -3.239750441059688 ;\n",
+      "Epoch 150/1000, Cost: 3.3062\n",
+      " and the parameters are [-1.83030617  2.62578046] -3.2397719558137137 ;\n",
+      "Epoch 150/1000, Cost: 5.3122\n",
+      " and the parameters are [-1.8303488   2.62574282] -3.2398437462971854 ;\n",
+      "Epoch 150/1000, Cost: 3.7728\n",
+      " and the parameters are [-1.83034957  2.62572022] -3.239935888325927 ;\n",
+      "Epoch 150/1000, Cost: 2.3150\n",
+      " and the parameters are [-1.83041616  2.625763  ] -3.2399472475185513 ;\n",
+      "Epoch 150/1000, Cost: 4.3046\n",
+      " and the parameters are [-1.83044444  2.62570796] -3.2400457703693903 ;\n",
+      "Epoch 150/1000, Cost: 4.6175\n",
+      " and the parameters are [-1.83046296  2.62578304] -3.2400679561304235 ;\n",
+      "Epoch 150/1000, Cost: 5.0116\n",
+      " and the parameters are [-1.83042328  2.62586957] -3.2400948144451487 ;\n",
+      "Epoch 150/1000, Cost: 5.6639\n",
+      " and the parameters are [-1.8305003  2.6258652] -3.2401309534120193 ;\n",
+      "Epoch 150/1000, Cost: 7.4961\n",
+      " and the parameters are [-1.83038242  2.62587412] -3.240226319767919 ;\n",
+      "Epoch 150/1000, Cost: 4.6756\n",
+      " and the parameters are [-1.8303727   2.62596989] -3.2402245294143506 ;\n",
+      "Epoch 150/1000, Cost: 3.8460\n",
+      " and the parameters are [-1.83042138  2.62590058] -3.2403387338015044 ;\n",
+      "Epoch 150/1000, Cost: 6.4017\n",
+      " and the parameters are [-1.83059902  2.62586772] -3.2403386839239716 ;\n",
+      "Epoch 150/1000, Cost: 4.0689\n",
+      " and the parameters are [-1.83066491  2.62583721] -3.2404085386988597 ;\n",
+      "Epoch 150/1000, Cost: 5.3444\n",
+      " and the parameters are [-1.830717    2.62579373] -3.2404729557904735 ;\n",
+      "Epoch 150/1000, Cost: 5.8109\n",
+      " and the parameters are [-1.8307867   2.62576271] -3.2405657993100934 ;\n",
+      "Epoch 150/1000, Cost: 2.8515\n",
+      " and the parameters are [-1.83080987  2.62582767] -3.2405933705294796 ;\n",
+      "Epoch 150/1000, Cost: 4.8903\n",
+      " and the parameters are [-1.83090406  2.62584392] -3.240614219604131 ;\n",
+      "Epoch 150/1000, Cost: 5.0827\n",
+      " and the parameters are [-1.83097342  2.62599024] -3.2405339841174894 ;\n",
+      "Epoch 150/1000, Cost: 5.5192\n",
+      " and the parameters are [-1.83100934  2.62599398] -3.2405973389903493 ;\n",
+      "Epoch 150/1000, Cost: 4.6102\n",
+      " and the parameters are [-1.8309774   2.62613456] -3.2405787601716334 ;\n",
+      "Epoch 150/1000, Cost: 4.0301\n",
+      " and the parameters are [-1.83101515  2.62609163] -3.240675396487517 ;\n",
+      "Epoch 150/1000, Cost: 4.0101\n",
+      " and the parameters are [-1.8310076   2.62626785] -3.240626290027518 ;\n",
+      "Epoch 150/1000, Cost: 6.2928\n",
+      " and the parameters are [-1.83104049  2.62638432] -3.240578140826969 ;\n",
+      "Epoch 150/1000, Cost: 3.5195\n",
+      " and the parameters are [-1.83106177  2.6264965 ] -3.2405675952272115 ;\n",
+      "Epoch 150/1000, Cost: 4.1238\n",
+      " and the parameters are [-1.83107452  2.62648253] -3.2406464595286963 ;\n",
+      "Epoch 150/1000, Cost: 4.1105\n",
+      " and the parameters are [-1.83111086  2.62648694] -3.2407032858716143 ;\n",
+      "Epoch 150/1000, Cost: 5.6045\n",
+      " and the parameters are [-1.83110194  2.62657301] -3.2407274215141575 ;\n",
+      "Epoch 150/1000, Cost: 4.1016\n",
+      " and the parameters are [-1.83110584  2.62667822] -3.240713777325833 ;\n",
+      "Epoch 150/1000, Cost: 4.0685\n",
+      " and the parameters are [-1.83114367  2.62673573] -3.2407277273493804 ;\n",
+      "Epoch 150/1000, Cost: 3.9910\n",
+      " and the parameters are [-1.83111677  2.62680253] -3.2407745597047346 ;\n",
+      "Epoch 150/1000, Cost: 4.4196\n",
+      " and the parameters are [-1.83102575  2.62690705] -3.240823885174701 ;\n",
+      "Epoch 150/1000, Cost: 7.4780\n",
+      " and the parameters are [-1.83103148  2.62691229] -3.240865177178006 ;\n",
+      "Epoch 150/1000, Cost: 7.4472\n",
+      " and the parameters are [-1.83100266  2.62680052] -3.2410508610738344 ;\n",
+      "Epoch 150/1000, Cost: 3.8176\n",
+      " and the parameters are [-1.83099404  2.62687035] -3.2410900599616568 ;\n",
+      "Epoch 150/1000, Cost: 3.2272\n",
+      " and the parameters are [-1.83105284  2.62685414] -3.2411483583411913 ;\n",
+      "Epoch 150/1000, Cost: 6.3246\n",
+      " and the parameters are [-1.8312563   2.62679745] -3.2411669885155345 ;\n",
+      "Epoch 150/1000, Cost: 5.6234\n",
+      " and the parameters are [-1.83125267  2.62676667] -3.241271342705015 ;\n",
+      "Epoch 150/1000, Cost: 4.8992\n",
+      " and the parameters are [-1.83127456  2.62670207] -3.2413828546176506 ;\n",
+      "Epoch 150/1000, Cost: 6.6540\n",
+      " and the parameters are [-1.83119952  2.62677276] -3.241441483396819 ;\n",
+      "Epoch 150/1000, Cost: 5.6334\n",
+      " and the parameters are [-1.83126148  2.62672376] -3.2415304396393907 ;\n",
+      "Epoch 150/1000, Cost: 8.3566\n",
+      " and the parameters are [-1.83135405  2.6264829 ] -3.241711187692704 ;\n",
+      "Epoch 150/1000, Cost: 6.5032\n",
+      " and the parameters are [-1.83135745  2.62660076] -3.2416987973234996 ;\n",
+      "Epoch 150/1000, Cost: 4.3801\n",
+      " and the parameters are [-1.83123316  2.62674254] -3.2417477242875905 ;\n",
+      "Epoch 150/1000, Cost: 4.9957\n",
+      " and the parameters are [-1.8313034   2.62683328] -3.2417468343697537 ;\n",
+      "Epoch 150/1000, Cost: 4.8687\n",
+      " and the parameters are [-1.83136983  2.62685645] -3.241793527463827 ;\n",
+      "Epoch 150/1000, Cost: 4.2163\n",
+      " and the parameters are [-1.83143037  2.62683269] -3.241855917328796 ;\n",
+      "Epoch 150/1000, Cost: 4.9694\n",
+      " and the parameters are [-1.83143053  2.6269272 ] -3.2418499683615183 ;\n",
+      "Epoch 150/1000, Cost: 8.1741\n",
+      " and the parameters are [-1.83151377  2.62687586] -3.241854420426705 ;\n",
+      "Epoch 150/1000, Cost: 3.8597\n",
+      " and the parameters are [-1.83157965  2.62688439] -3.2418785423481626 ;\n",
+      "Epoch 150/1000, Cost: 3.5662\n",
+      " and the parameters are [-1.83156636  2.62691452] -3.2419259951901545 ;\n",
+      "Epoch 150/1000, Cost: 5.8260\n",
+      " and the parameters are [-1.83150479  2.62691073] -3.242021279309197 ;\n",
+      "Epoch 150/1000, Cost: 4.5451\n",
+      " and the parameters are [-1.83153341  2.62685903] -3.242118149831337 ;\n",
+      "Epoch 150/1000, Cost: 3.5481\n",
+      " and the parameters are [-1.83160256  2.62689252] -3.2421364829390344 ;\n",
+      "Epoch 150/1000, Cost: 3.3517\n",
+      " and the parameters are [-1.83155703  2.6269619 ] -3.2421925398348916 ;\n",
+      "Epoch 150/1000, Cost: 2.8187\n",
+      " and the parameters are [-1.83161076  2.62701154] -3.2422049948304177 ;\n",
+      "Epoch 150/1000, Cost: 5.0297\n",
+      " and the parameters are [-1.83158275  2.6270352 ] -3.242278782032059 ;\n",
+      "Epoch 150/1000, Cost: 3.3456\n",
+      " and the parameters are [-1.83163457  2.6270955 ] -3.242279206093059 ;\n",
+      "Epoch 150/1000, Cost: 6.6312\n",
+      " and the parameters are [-1.83159928  2.62710748] -3.2423587678048853 ;\n",
+      "Epoch 150/1000, Cost: 6.8460\n",
+      " and the parameters are [-1.83160833  2.62717746] -3.242389042070524 ;\n",
+      "Epoch 150/1000, Cost: 2.0675\n",
+      " and the parameters are [-1.83168518  2.62721707] -3.242392332468136 ;\n",
+      "Epoch 150/1000, Cost: 2.8631\n",
+      " and the parameters are [-1.83163992  2.62734146] -3.242399235881576 ;\n",
+      "Epoch 150/1000, Cost: 5.1735\n",
+      " and the parameters are [-1.83158091  2.62748189] -3.2424015092078213 ;\n",
+      "Epoch 150/1000, Cost: 3.8865\n",
+      " and the parameters are [-1.83157256  2.62758749] -3.2423873099290508 ;\n",
+      "Epoch 150/1000, Cost: 4.9606\n",
+      " and the parameters are [-1.83161957  2.62753664] -3.242505438517246 ;\n",
+      "Epoch 150/1000, Cost: 4.4658\n",
+      " and the parameters are [-1.83159691  2.62767084] -3.242518213653404 ;\n",
+      "Epoch 150/1000, Cost: 2.4548\n",
+      " and the parameters are [-1.83160047  2.62771051] -3.242555421517765 ;\n",
+      "Epoch 150/1000, Cost: 5.0577\n",
+      " and the parameters are [-1.83169267  2.62762606] -3.2426234008552717 ;\n",
+      "Epoch 150/1000, Cost: 7.1495\n",
+      " and the parameters are [-1.83177754  2.62749278] -3.242739199947625 ;\n",
+      "Epoch 150/1000, Cost: 4.7536\n",
+      " and the parameters are [-1.83189885  2.62743409] -3.242804373218348 ;\n",
+      "Epoch 150/1000, Cost: 3.3263\n",
+      " and the parameters are [-1.83191674  2.62754263] -3.242762659842361 ;\n",
+      "Epoch 150/1000, Cost: 6.7232\n",
+      " and the parameters are [-1.83200198  2.6274757 ] -3.242827016844389 ;\n",
+      "Epoch 150/1000, Cost: 4.7156\n",
+      " and the parameters are [-1.8319415   2.62762915] -3.242804948046139 ;\n",
+      "Epoch 150/1000, Cost: 4.9458\n",
+      " and the parameters are [-1.8319549   2.62765031] -3.242847444307022 ;\n",
+      "Epoch 150/1000, Cost: 6.5916\n",
+      " and the parameters are [-1.83212654  2.6275634 ] -3.2429024119518948 ;\n",
+      "Epoch 150/1000, Cost: 4.8480\n",
+      " and the parameters are [-1.83215734  2.62761668] -3.2429210871567364 ;\n",
+      "Epoch 150/1000, Cost: 7.1426\n",
+      " and the parameters are [-1.83220586  2.62756383] -3.2429987386268477 ;\n",
+      "Epoch 150/1000, Cost: 3.0598\n",
+      " and the parameters are [-1.83223241  2.62756188] -3.243068850306545 ;\n",
+      "Epoch 150/1000, Cost: 4.0480\n",
+      " and the parameters are [-1.83230717  2.6274927 ] -3.243174791039882 ;\n",
+      "Epoch 150/1000, Cost: 3.5405\n",
+      " and the parameters are [-1.8323233   2.62760919] -3.2431741644681837 ;\n",
+      "Epoch 150/1000, Cost: 4.2589\n",
+      " and the parameters are [-1.83233981  2.62768521] -3.2431944179190904 ;\n",
+      "Epoch 150/1000, Cost: 4.0000\n",
+      " and the parameters are [-1.83237065  2.62774999] -3.243217880116911 ;\n",
+      "Epoch 150/1000, Cost: 3.5230\n",
+      " and the parameters are [-1.83240971  2.62783544] -3.2432213844704054 ;\n",
+      "Epoch 150/1000, Cost: 5.6450\n",
+      " and the parameters are [-1.83244921  2.62782373] -3.2432874556309894 ;\n",
+      "Epoch 150/1000, Cost: 2.9789\n",
+      " and the parameters are [-1.83247454  2.62784283] -3.2433449058037223 ;\n",
+      "Epoch 150/1000, Cost: 3.7033\n",
+      " and the parameters are [-1.83254283  2.627908  ] -3.2433579106645416 ;\n",
+      "Epoch 150/1000, Cost: 5.3405\n",
+      " and the parameters are [-1.83258256  2.62788737] -3.24345353001964 ;\n",
+      "Epoch 150/1000, Cost: 5.4291\n",
+      " and the parameters are [-1.83257836  2.62794386] -3.2434825136704384 ;\n",
+      "Epoch 150/1000, Cost: 2.8736\n",
+      " and the parameters are [-1.83258447  2.62801511] -3.243502634694003 ;\n",
+      "Epoch 150/1000, Cost: 4.0824\n",
+      " and the parameters are [-1.83265145  2.62794601] -3.243586226470897 ;\n",
+      "Epoch 150/1000, Cost: 4.9350\n",
+      " and the parameters are [-1.83268043  2.62802259] -3.2435873561990167 ;\n",
+      "Epoch 150/1000, Cost: 8.6770\n",
+      " and the parameters are [-1.8326511   2.62797764] -3.243700738757636 ;\n",
+      "Epoch 150/1000, Cost: 6.3356\n",
+      " and the parameters are [-1.8326729   2.62787994] -3.243837424869513 ;\n",
+      "Epoch 150/1000, Cost: 3.9145\n",
+      " and the parameters are [-1.83271957  2.62787594] -3.243903504224005 ;\n",
+      "Epoch 150/1000, Cost: 6.5114\n",
+      " and the parameters are [-1.83271662  2.62785308] -3.2440123149224402 ;\n",
+      "Epoch 150/1000, Cost: 5.9369\n",
+      " and the parameters are [-1.83270213  2.62792597] -3.244025573078426 ;\n",
+      "Epoch 150/1000, Cost: 4.3235\n",
+      " and the parameters are [-1.83271321  2.6279784 ] -3.2440551266892435 ;\n",
+      "Epoch 150/1000, Cost: 4.7012\n",
+      " and the parameters are [-1.83270658  2.62795971] -3.2441549145576176 ;\n",
+      "Epoch 150/1000, Cost: 4.5911\n",
+      " and the parameters are [-1.83267095  2.62808581] -3.2441641638799217 ;\n",
+      "Epoch 150/1000, Cost: 3.3842\n",
+      " and the parameters are [-1.83269771  2.62819002] -3.2441302918018136 ;\n",
+      "Epoch 150/1000, Cost: 5.1079\n",
+      " and the parameters are [-1.83278257  2.62818489] -3.2441868656713955 ;\n",
+      "Epoch 150/1000, Cost: 7.1505\n",
+      " and the parameters are [-1.83276953  2.62813748] -3.244302259836394 ;\n",
+      "Epoch 150/1000, Cost: 5.2147\n",
+      " and the parameters are [-1.83279322  2.62810636] -3.244376324680553 ;\n",
+      "Epoch 150/1000, Cost: 9.4653\n",
+      " and the parameters are [-1.83292338  2.62802272] -3.2444042396039503 ;\n",
+      "Epoch 150/1000, Cost: 3.4684\n",
+      " and the parameters are [-1.83286628  2.62813423] -3.24443373910053 ;\n",
+      "Epoch 150/1000, Cost: 3.6060\n",
+      " and the parameters are [-1.83297021  2.62820092] -3.244405229723745 ;\n",
+      "Epoch 150/1000, Cost: 5.0677\n",
+      " and the parameters are [-1.83301592  2.62835347] -3.2443400638633255 ;\n",
+      "Epoch 150/1000, Cost: 2.5600\n",
+      " and the parameters are [-1.83299847  2.62841563] -3.2443782805011803 ;\n",
+      "Epoch 150/1000, Cost: 2.8196\n",
+      " and the parameters are [-1.83301072  2.62848221] -3.2443954393907015 ;\n",
+      "Epoch 150/1000, Cost: 5.3467\n",
+      " and the parameters are [-1.833083    2.62849552] -3.244428004618076 ;\n",
+      "Epoch 150/1000, Cost: 5.2324\n",
+      " and the parameters are [-1.83306589  2.62851708] -3.2445066137168532 ;\n",
+      "Epoch 150/1000, Cost: 5.8118\n",
+      " and the parameters are [-1.83309653  2.62838346] -3.2446864664861224 ;\n",
+      "Epoch 150/1000, Cost: 4.7452\n",
+      " and the parameters are [-1.83305956  2.62852212] -3.244684882946918 ;\n",
+      "Epoch 150/1000, Cost: 3.9470\n",
+      " and the parameters are [-1.83304199  2.62858501] -3.244720319629895 ;\n",
+      "Epoch 150/1000, Cost: 3.9614\n",
+      " and the parameters are [-1.83305368  2.62866012] -3.2447530553134656 ;\n",
+      "Epoch 150/1000, Cost: 5.8045\n",
+      " and the parameters are [-1.83310376  2.62875127] -3.2447207433023793 ;\n",
+      "Epoch 150/1000, Cost: 4.5298\n",
+      " and the parameters are [-1.8331194   2.62876576] -3.244788590311627 ;\n",
+      "Epoch 150/1000, Cost: 3.6412\n",
+      " and the parameters are [-1.83308165  2.6287858 ] -3.244884303535929 ;\n",
+      "Epoch 150/1000, Cost: 4.2107\n",
+      " and the parameters are [-1.83305218  2.62881753] -3.2449525857139747 ;\n",
+      "Epoch 150/1000, Cost: 6.6151\n",
+      " and the parameters are [-1.8331707   2.62872224] -3.2450432975705867 ;\n",
+      "Epoch 150/1000, Cost: 3.6983\n",
+      " and the parameters are [-1.83314066  2.62883571] -3.245065362531026 ;\n",
+      "Epoch 150/1000, Cost: 2.4482\n",
+      " and the parameters are [-1.83314476  2.62893641] -3.245055077244315 ;\n",
+      "Epoch 150/1000, Cost: 4.1729\n",
+      " and the parameters are [-1.83320498  2.62898442] -3.245061578812557 ;\n",
+      "Epoch 150/1000, Cost: 8.1586\n",
+      " and the parameters are [-1.83323952  2.62891122] -3.245180494772103 ;\n",
+      "Epoch 150/1000, Cost: 5.9792\n",
+      " and the parameters are [-1.83320806  2.62894208] -3.245262819765378 ;\n",
+      "Epoch 150/1000, Cost: 5.4195\n",
+      " and the parameters are [-1.83323433  2.6290025 ] -3.245273522105312 ;\n",
+      "Epoch 150/1000, Cost: 6.1848\n",
+      " and the parameters are [-1.83316438  2.62911465] -3.245270294127596 ;\n",
+      "Epoch 150/1000, Cost: 7.1857\n",
+      " and the parameters are [-1.83320695  2.62906332] -3.2453409629074983 ;\n",
+      "Epoch 150/1000, Cost: 6.7804\n",
+      " and the parameters are [-1.83328032  2.6289952 ] -3.2453821243569805 ;\n",
+      "Epoch 150/1000, Cost: 3.8666\n",
+      " and the parameters are [-1.83331314  2.62901018] -3.2454470987526656 ;\n",
+      "Epoch 150/1000, Cost: 4.1445\n",
+      " and the parameters are [-1.83325775  2.62902292] -3.245524574389415 ;\n",
+      "Epoch 150/1000, Cost: 3.8172\n",
+      " and the parameters are [-1.83320353  2.62925779] -3.2454411177322937 ;\n",
+      "Epoch 150/1000, Cost: 6.3142\n",
+      " and the parameters are [-1.83328863  2.62915552] -3.245576485675863 ;\n",
+      "Epoch 150/1000, Cost: 5.0298\n",
+      " and the parameters are [-1.83329161  2.62917119] -3.2456321054980917 ;\n",
+      "Epoch 150/1000, Cost: 6.0113\n",
+      " and the parameters are [-1.83329269  2.62925502] -3.2456663371638457 ;\n",
+      "Epoch 150/1000, Cost: 3.4084\n",
+      " and the parameters are [-1.83329596  2.62938532] -3.245651787088451 ;\n",
+      "Epoch 150/1000, Cost: 2.1736\n",
+      " and the parameters are [-1.83327726  2.62944983] -3.2456833689327684 ;\n",
+      "Epoch 150/1000, Cost: 6.3214\n",
+      " and the parameters are [-1.83333173  2.62940407] -3.2457754116844524 ;\n",
+      "Epoch 150/1000, Cost: 4.0599\n",
+      " and the parameters are [-1.83332567  2.62953758] -3.2457606724518935 ;\n",
+      "Epoch 150/1000, Cost: 5.5098\n",
+      " and the parameters are [-1.83335415  2.62947454] -3.245837374984826 ;\n",
+      "Epoch 150/1000, Cost: 4.5161\n",
+      " and the parameters are [-1.8333998   2.62940245] -3.245969980078182 ;\n",
+      "Epoch 150/1000, Cost: 4.3231\n",
+      " and the parameters are [-1.83341113  2.62942131] -3.246023425469048 ;\n",
+      "Epoch 150/1000, Cost: 3.9460\n",
+      " and the parameters are [-1.83348799  2.62954661] -3.2459725953821708 ;\n",
+      "Epoch 150/1000, Cost: 3.2184\n",
+      " and the parameters are [-1.83344668  2.62960538] -3.246020923213702 ;\n",
+      "Epoch 150/1000, Cost: 4.1060\n",
+      " and the parameters are [-1.83346224  2.62969919] -3.246013508752006 ;\n",
+      "Epoch 150/1000, Cost: 3.9300\n",
+      " and the parameters are [-1.83351212  2.62980378] -3.2459866534404003 ;\n",
+      "Epoch 150/1000, Cost: 4.2835\n",
+      " and the parameters are [-1.83354489  2.62991394] -3.245961002681483 ;\n",
+      "Epoch 150/1000, Cost: 6.9646\n",
+      " and the parameters are [-1.83354131  2.6299542 ] -3.245982481839155 ;\n",
+      "Epoch 150/1000, Cost: 6.1290\n",
+      " and the parameters are [-1.83352563  2.63010944] -3.2458995203275363 ;\n",
+      "Epoch 150/1000, Cost: 4.9051\n",
+      " and the parameters are [-1.83350957  2.63018491] -3.245964556023213 ;\n",
+      "Epoch 150/1000, Cost: 4.2866\n",
+      " and the parameters are [-1.83350481  2.63024752] -3.2460234562346972 ;\n",
+      "Epoch 150/1000, Cost: 4.2770\n",
+      " and the parameters are [-1.83354587  2.63030508] -3.2460345075503305 ;\n",
+      "Epoch 150/1000, Cost: 4.2191\n",
+      " and the parameters are [-1.83361356  2.63035504] -3.246048610129664 ;\n",
+      "Epoch 150/1000, Cost: 6.1691\n",
+      " and the parameters are [-1.83381773  2.63018861] -3.2461295123950578 ;\n",
+      "Epoch 150/1000, Cost: 5.1767\n",
+      " and the parameters are [-1.83386442  2.63012884] -3.2462146852698694 ;\n",
+      "Epoch 150/1000, Cost: 5.4066\n",
+      " and the parameters are [-1.83386792  2.63007272] -3.2463325435293577 ;\n",
+      "Epoch 150/1000, Cost: 5.2080\n",
+      " and the parameters are [-1.83394548  2.62996277] -3.2464647383522376 ;\n",
+      "Epoch 150/1000, Cost: 4.7131\n",
+      " and the parameters are [-1.83394875  2.6301197 ] -3.2464263926624763 ;\n",
+      "Epoch 150/1000, Cost: 2.6876\n",
+      " and the parameters are [-1.8339716  2.6301572] -3.246454112750231 ;\n",
+      "Epoch 150/1000, Cost: 4.5154\n",
+      " and the parameters are [-1.83393031  2.63016121] -3.2465507611558118 ;\n",
+      "Epoch 150/1000, Cost: 4.9297\n",
+      " and the parameters are [-1.83398073  2.63025082] -3.2465361991535033 ;\n",
+      "Epoch 150/1000, Cost: 2.7114\n",
+      " and the parameters are [-1.83400276  2.63030806] -3.246559573430335 ;\n",
+      "Epoch 150/1000, Cost: 4.8422\n",
+      " and the parameters are [-1.83404067  2.63035726] -3.2465912380501645 ;\n",
+      "Epoch 150/1000, Cost: 6.4407\n",
+      " and the parameters are [-1.83405553  2.63026652] -3.246719525514771 ;\n",
+      "Epoch 150/1000, Cost: 3.9860\n",
+      " and the parameters are [-1.83413719  2.63021469] -3.2467971934572697 ;\n",
+      "Epoch 150/1000, Cost: 4.5121\n",
+      " and the parameters are [-1.8341548   2.63035327] -3.246763585296215 ;\n",
+      "Epoch 150/1000, Cost: 6.0682\n",
+      " and the parameters are [-1.83415505  2.63043655] -3.246767422383474 ;\n",
+      "Epoch 150/1000, Cost: 2.3868\n",
+      " and the parameters are [-1.83414277  2.63054025] -3.246772819268148 ;\n",
+      "Epoch 150/1000, Cost: 3.8368\n",
+      " and the parameters are [-1.83415411  2.63061263] -3.246786945430241 ;\n",
+      "Epoch 150/1000, Cost: 3.8921\n",
+      " and the parameters are [-1.83422787  2.63058259] -3.24684477670218 ;\n",
+      "Epoch 150/1000, Cost: 6.6019\n",
+      " and the parameters are [-1.83419197  2.63061586] -3.2468812589115736 ;\n",
+      "Epoch 150/1000, Cost: 3.9321\n",
+      " and the parameters are [-1.8341721   2.63060465] -3.246993882335713 ;\n",
+      "Epoch 150/1000, Cost: 5.7123\n",
+      " and the parameters are [-1.83430433  2.63055723] -3.2470090480521643 ;\n",
+      "Epoch 150/1000, Cost: 3.4471\n",
+      " and the parameters are [-1.83430891  2.63062281] -3.247052641452425 ;\n",
+      "Epoch 150/1000, Cost: 7.0563\n",
+      " and the parameters are [-1.83440678  2.630538  ] -3.24714151347913 ;\n",
+      "Epoch 150/1000, Cost: 3.1469\n",
+      " and the parameters are [-1.83439532  2.63061396] -3.2471726901377753 ;\n",
+      "Epoch 150/1000, Cost: 5.6233\n",
+      " and the parameters are [-1.83447232  2.63047937] -3.2472850826436894 ;\n",
+      "Epoch 150/1000, Cost: 4.3589\n",
+      " and the parameters are [-1.83441069  2.63063121] -3.2472782692960855 ;\n",
+      "Epoch 160/1000, Cost: 3.8406\n",
+      " and the parameters are [-1.87583997  2.67989177] -3.3208412446735127 ;\n",
+      "Epoch 160/1000, Cost: 2.4605\n",
+      " and the parameters are [-1.8758819   2.67995693] -3.3208425554259215 ;\n",
+      "Epoch 160/1000, Cost: 3.6771\n",
+      " and the parameters are [-1.87586331  2.67999952] -3.3208838619109273 ;\n",
+      "Epoch 160/1000, Cost: 4.1884\n",
+      " and the parameters are [-1.87584533  2.68005771] -3.320941366236607 ;\n",
+      "Epoch 160/1000, Cost: 3.7075\n",
+      " and the parameters are [-1.87587341  2.68012165] -3.320947608362042 ;\n",
+      "Epoch 160/1000, Cost: 7.0452\n",
+      " and the parameters are [-1.87591267  2.680278  ] -3.320866428673257 ;\n",
+      "Epoch 160/1000, Cost: 2.9911\n",
+      " and the parameters are [-1.8758994   2.68028864] -3.3209441608323984 ;\n",
+      "Epoch 160/1000, Cost: 3.7467\n",
+      " and the parameters are [-1.87589579  2.68038012] -3.3209315340195644 ;\n",
+      "Epoch 160/1000, Cost: 6.0224\n",
+      " and the parameters are [-1.87597348  2.68030572] -3.321024853925549 ;\n",
+      "Epoch 160/1000, Cost: 3.1584\n",
+      " and the parameters are [-1.87590685  2.68038658] -3.3210735602466914 ;\n",
+      "Epoch 160/1000, Cost: 5.0974\n",
+      " and the parameters are [-1.87594384  2.68037702] -3.321124528637277 ;\n",
+      "Epoch 160/1000, Cost: 3.7950\n",
+      " and the parameters are [-1.87600401  2.68049878] -3.3210786749037187 ;\n",
+      "Epoch 160/1000, Cost: 4.4497\n",
+      " and the parameters are [-1.87613081  2.68042592] -3.3211462608914197 ;\n",
+      "Epoch 160/1000, Cost: 4.1466\n",
+      " and the parameters are [-1.87616728  2.68045281] -3.3211837281221332 ;\n",
+      "Epoch 160/1000, Cost: 5.0571\n",
+      " and the parameters are [-1.87625973  2.68042667] -3.321213153267377 ;\n",
+      "Epoch 160/1000, Cost: 7.8116\n",
+      " and the parameters are [-1.8762525   2.68021963] -3.321419651679969 ;\n",
+      "Epoch 160/1000, Cost: 3.9574\n",
+      " and the parameters are [-1.8762824   2.68023749] -3.321478723077037 ;\n",
+      "Epoch 160/1000, Cost: 4.8616\n",
+      " and the parameters are [-1.87629355  2.6802839 ] -3.3215022677288966 ;\n",
+      "Epoch 160/1000, Cost: 4.4975\n",
+      " and the parameters are [-1.87629322  2.68034854] -3.321510896754764 ;\n",
+      "Epoch 160/1000, Cost: 2.7903\n",
+      " and the parameters are [-1.87628521  2.68046941] -3.321497625861063 ;\n",
+      "Epoch 160/1000, Cost: 6.0150\n",
+      " and the parameters are [-1.87633894  2.6804862 ] -3.3214899159407203 ;\n",
+      "Epoch 160/1000, Cost: 4.4834\n",
+      " and the parameters are [-1.87632488  2.68065954] -3.3214353101216587 ;\n",
+      "Epoch 160/1000, Cost: 2.5434\n",
+      " and the parameters are [-1.87630169  2.68072194] -3.3214787669535624 ;\n",
+      "Epoch 160/1000, Cost: 4.6628\n",
+      " and the parameters are [-1.87639757  2.68076121] -3.3214851565242993 ;\n",
+      "Epoch 160/1000, Cost: 4.7141\n",
+      " and the parameters are [-1.87645965  2.68076683] -3.321534885148769 ;\n",
+      "Epoch 160/1000, Cost: 4.2411\n",
+      " and the parameters are [-1.87649187  2.68084937] -3.321541898250896 ;\n",
+      "Epoch 160/1000, Cost: 2.9457\n",
+      " and the parameters are [-1.87650972  2.68097387] -3.3215057225526032 ;\n",
+      "Epoch 160/1000, Cost: 3.6651\n",
+      " and the parameters are [-1.87648495  2.6811037 ] -3.321493980013464 ;\n",
+      "Epoch 160/1000, Cost: 7.4240\n",
+      " and the parameters are [-1.87656535  2.68100162] -3.3215926621041323 ;\n",
+      "Epoch 160/1000, Cost: 4.8887\n",
+      " and the parameters are [-1.87666289  2.68094417] -3.3216568676892875 ;\n",
+      "Epoch 160/1000, Cost: 4.4995\n",
+      " and the parameters are [-1.87669693  2.68094295] -3.321732834102587 ;\n",
+      "Epoch 160/1000, Cost: 3.8766\n",
+      " and the parameters are [-1.87679744  2.68086316] -3.321807471529916 ;\n",
+      "Epoch 160/1000, Cost: 5.9459\n",
+      " and the parameters are [-1.87676222  2.68093996] -3.321787283061722 ;\n",
+      "Epoch 160/1000, Cost: 4.3017\n",
+      " and the parameters are [-1.87677734  2.68089087] -3.321893074938038 ;\n",
+      "Epoch 160/1000, Cost: 3.9723\n",
+      " and the parameters are [-1.87681352  2.68095299] -3.3219037114746266 ;\n",
+      "Epoch 160/1000, Cost: 4.0884\n",
+      " and the parameters are [-1.87682077  2.68094938] -3.3219793703026594 ;\n",
+      "Epoch 160/1000, Cost: 3.5439\n",
+      " and the parameters are [-1.87681038  2.68113043] -3.3219231046166255 ;\n",
+      "Epoch 160/1000, Cost: 3.3411\n",
+      " and the parameters are [-1.87683358  2.68119754] -3.321937705348188 ;\n",
+      "Epoch 160/1000, Cost: 4.0218\n",
+      " and the parameters are [-1.87679082  2.68138905] -3.3218919883470814 ;\n",
+      "Epoch 160/1000, Cost: 4.8616\n",
+      " and the parameters are [-1.87684131  2.68145607] -3.3218717920707737 ;\n",
+      "Epoch 160/1000, Cost: 2.6079\n",
+      " and the parameters are [-1.87685923  2.68152674] -3.3218779846805178 ;\n",
+      "Epoch 160/1000, Cost: 3.8891\n",
+      " and the parameters are [-1.87681881  2.68163223] -3.321899193155856 ;\n",
+      "Epoch 160/1000, Cost: 3.1997\n",
+      " and the parameters are [-1.87684804  2.68165952] -3.321941946622299 ;\n",
+      "Epoch 160/1000, Cost: 4.2706\n",
+      " and the parameters are [-1.87688607  2.68157336] -3.3220664641186963 ;\n",
+      "Epoch 160/1000, Cost: 8.0698\n",
+      " and the parameters are [-1.87681486  2.68159752] -3.3221201631356254 ;\n",
+      "Epoch 160/1000, Cost: 2.6583\n",
+      " and the parameters are [-1.87684021  2.68164139] -3.3221504538089697 ;\n",
+      "Epoch 160/1000, Cost: 7.1610\n",
+      " and the parameters are [-1.87685619  2.68157498] -3.322238378961923 ;\n",
+      "Epoch 160/1000, Cost: 4.5196\n",
+      " and the parameters are [-1.87687634  2.68163336] -3.3222613445199785 ;\n",
+      "Epoch 160/1000, Cost: 5.1270\n",
+      " and the parameters are [-1.87682311  2.6816303 ] -3.3223431486933377 ;\n",
+      "Epoch 160/1000, Cost: 6.8274\n",
+      " and the parameters are [-1.87696794  2.68148539] -3.3224202815683936 ;\n",
+      "Epoch 160/1000, Cost: 3.5493\n",
+      " and the parameters are [-1.87693565  2.6815645 ] -3.322460347828984 ;\n",
+      "Epoch 160/1000, Cost: 6.9515\n",
+      " and the parameters are [-1.87704327  2.68160551] -3.3224502058395515 ;\n",
+      "Epoch 160/1000, Cost: 5.4139\n",
+      " and the parameters are [-1.87720468  2.68156429] -3.3224717882029133 ;\n",
+      "Epoch 160/1000, Cost: 3.0352\n",
+      " and the parameters are [-1.87716536  2.68169521] -3.3224646088313654 ;\n",
+      "Epoch 160/1000, Cost: 4.5982\n",
+      " and the parameters are [-1.87724473  2.68163818] -3.3225310633963185 ;\n",
+      "Epoch 160/1000, Cost: 4.1014\n",
+      " and the parameters are [-1.87720042  2.68159801] -3.322653073011719 ;\n",
+      "Epoch 160/1000, Cost: 6.7981\n",
+      " and the parameters are [-1.87710092  2.68176782] -3.322626005511421 ;\n",
+      "Epoch 160/1000, Cost: 3.7741\n",
+      " and the parameters are [-1.87710675  2.68194187] -3.322564845134959 ;\n",
+      "Epoch 160/1000, Cost: 5.2277\n",
+      " and the parameters are [-1.87709837  2.68204002] -3.322582220872068 ;\n",
+      "Epoch 160/1000, Cost: 5.1010\n",
+      " and the parameters are [-1.87714981  2.68198207] -3.3226849980952617 ;\n",
+      "Epoch 160/1000, Cost: 5.8503\n",
+      " and the parameters are [-1.87725687  2.68187677] -3.3227765018451203 ;\n",
+      "Epoch 160/1000, Cost: 2.9461\n",
+      " and the parameters are [-1.87728136  2.68195038] -3.322788360211197 ;\n",
+      "Epoch 160/1000, Cost: 6.0739\n",
+      " and the parameters are [-1.87731251  2.6821482 ] -3.322660679042149 ;\n",
+      "Epoch 160/1000, Cost: 3.5446\n",
+      " and the parameters are [-1.87731159  2.68226118] -3.322661785189779 ;\n",
+      "Epoch 160/1000, Cost: 5.0377\n",
+      " and the parameters are [-1.87728233  2.6822687 ] -3.322737467283526 ;\n",
+      "Epoch 160/1000, Cost: 4.7378\n",
+      " and the parameters are [-1.87731035  2.68224281] -3.322808160897792 ;\n",
+      "Epoch 160/1000, Cost: 5.2201\n",
+      " and the parameters are [-1.8773817   2.68227233] -3.3228243212125794 ;\n",
+      "Epoch 160/1000, Cost: 8.4473\n",
+      " and the parameters are [-1.87745643  2.68205371] -3.3230101020576495 ;\n",
+      "Epoch 160/1000, Cost: 4.2989\n",
+      " and the parameters are [-1.87754194  2.68194676] -3.3231230902361713 ;\n",
+      "Epoch 160/1000, Cost: 4.9366\n",
+      " and the parameters are [-1.87757319  2.68197514] -3.323158552871758 ;\n",
+      "Epoch 160/1000, Cost: 8.1454\n",
+      " and the parameters are [-1.87771393  2.6819841 ] -3.3231276910749754 ;\n",
+      "Epoch 160/1000, Cost: 3.6917\n",
+      " and the parameters are [-1.87771357  2.68205987] -3.3231481077372176 ;\n",
+      "Epoch 160/1000, Cost: 4.8692\n",
+      " and the parameters are [-1.87767727  2.68214573] -3.3231484054884057 ;\n",
+      "Epoch 160/1000, Cost: 6.1134\n",
+      " and the parameters are [-1.87776165  2.68221896] -3.3231293589312347 ;\n",
+      "Epoch 160/1000, Cost: 4.7106\n",
+      " and the parameters are [-1.87790058  2.68211905] -3.3231872268701736 ;\n",
+      "Epoch 160/1000, Cost: 4.3061\n",
+      " and the parameters are [-1.87796989  2.68214789] -3.3232043731787493 ;\n",
+      "Epoch 160/1000, Cost: 2.9371\n",
+      " and the parameters are [-1.87793515  2.68223274] -3.3232362156801822 ;\n",
+      "Epoch 160/1000, Cost: 6.2012\n",
+      " and the parameters are [-1.87794846  2.6821409 ] -3.32335683632212 ;\n",
+      "Epoch 160/1000, Cost: 3.7581\n",
+      " and the parameters are [-1.8780142   2.68205982] -3.3234797595921233 ;\n",
+      "Epoch 160/1000, Cost: 3.3766\n",
+      " and the parameters are [-1.87806871  2.68210967] -3.323464306076839 ;\n",
+      "Epoch 160/1000, Cost: 4.4843\n",
+      " and the parameters are [-1.87809555  2.68217498] -3.3234995673935157 ;\n",
+      "Epoch 160/1000, Cost: 4.6194\n",
+      " and the parameters are [-1.87804064  2.68224011] -3.3235630204417266 ;\n",
+      "Epoch 160/1000, Cost: 4.8137\n",
+      " and the parameters are [-1.87804904  2.68222612] -3.3236510370512056 ;\n",
+      "Epoch 160/1000, Cost: 4.3747\n",
+      " and the parameters are [-1.87810481  2.6821278 ] -3.3237737297712266 ;\n",
+      "Epoch 160/1000, Cost: 2.9226\n",
+      " and the parameters are [-1.87809886  2.68220777] -3.323786439697613 ;\n",
+      "Epoch 160/1000, Cost: 5.4776\n",
+      " and the parameters are [-1.87820558  2.68202441] -3.323956095291764 ;\n",
+      "Epoch 160/1000, Cost: 2.9642\n",
+      " and the parameters are [-1.87828057  2.68212212] -3.323913330883998 ;\n",
+      "Epoch 160/1000, Cost: 4.1904\n",
+      " and the parameters are [-1.87833282  2.68215865] -3.3239257888155618 ;\n",
+      "Epoch 160/1000, Cost: 4.3315\n",
+      " and the parameters are [-1.87837162  2.68209631] -3.3240278867404847 ;\n",
+      "Epoch 160/1000, Cost: 6.1939\n",
+      " and the parameters are [-1.878323    2.68209276] -3.3241329350266255 ;\n",
+      "Epoch 160/1000, Cost: 5.0033\n",
+      " and the parameters are [-1.8783241   2.68224162] -3.32410171991182 ;\n",
+      "Epoch 160/1000, Cost: 4.1291\n",
+      " and the parameters are [-1.8782773   2.68232244] -3.324152556790141 ;\n",
+      "Epoch 160/1000, Cost: 5.2247\n",
+      " and the parameters are [-1.87829108  2.68238754] -3.3241817094460235 ;\n",
+      "Epoch 160/1000, Cost: 4.6899\n",
+      " and the parameters are [-1.87833348  2.68233228] -3.324281122051179 ;\n",
+      "Epoch 160/1000, Cost: 5.6409\n",
+      " and the parameters are [-1.87835548  2.68223051] -3.324437467046114 ;\n",
+      "Epoch 160/1000, Cost: 3.4213\n",
+      " and the parameters are [-1.87833885  2.68232132] -3.324451125585065 ;\n",
+      "Epoch 160/1000, Cost: 4.8357\n",
+      " and the parameters are [-1.87839888  2.68242192] -3.324414210775657 ;\n",
+      "Epoch 160/1000, Cost: 5.5134\n",
+      " and the parameters are [-1.87840881  2.68234077] -3.3245663134640315 ;\n",
+      "Epoch 160/1000, Cost: 4.2177\n",
+      " and the parameters are [-1.87843422  2.68243796] -3.324574308398144 ;\n",
+      "Epoch 160/1000, Cost: 4.6029\n",
+      " and the parameters are [-1.87847352  2.68248683] -3.3245961280459104 ;\n",
+      "Epoch 160/1000, Cost: 2.8928\n",
+      " and the parameters are [-1.87849409  2.68255541] -3.3245954630619248 ;\n",
+      "Epoch 160/1000, Cost: 4.9921\n",
+      " and the parameters are [-1.87847235  2.68260534] -3.324616043481645 ;\n",
+      "Epoch 160/1000, Cost: 4.6491\n",
+      " and the parameters are [-1.87850713  2.6825798 ] -3.324688268932277 ;\n",
+      "Epoch 160/1000, Cost: 1.9690\n",
+      " and the parameters are [-1.87853426  2.68265846] -3.324681147343638 ;\n",
+      "Epoch 160/1000, Cost: 10.0357\n",
+      " and the parameters are [-1.8784259   2.68252377] -3.324849181782301 ;\n",
+      "Epoch 160/1000, Cost: 2.5847\n",
+      " and the parameters are [-1.878391    2.68259192] -3.3248928272884637 ;\n",
+      "Epoch 160/1000, Cost: 5.1408\n",
+      " and the parameters are [-1.87840888  2.6825771 ] -3.3249778307705093 ;\n",
+      "Epoch 160/1000, Cost: 6.4957\n",
+      " and the parameters are [-1.87856847  2.6824353 ] -3.32506718883109 ;\n",
+      "Epoch 160/1000, Cost: 6.4708\n",
+      " and the parameters are [-1.87856434  2.68258063] -3.325019119833573 ;\n",
+      "Epoch 160/1000, Cost: 4.0522\n",
+      " and the parameters are [-1.87857315  2.68268809] -3.3250102557746315 ;\n",
+      "Epoch 160/1000, Cost: 5.3277\n",
+      " and the parameters are [-1.87871314  2.68260203] -3.325075039747305 ;\n",
+      "Epoch 160/1000, Cost: 5.4183\n",
+      " and the parameters are [-1.87871341  2.68264174] -3.325121589983103 ;\n",
+      "Epoch 160/1000, Cost: 5.7661\n",
+      " and the parameters are [-1.87880627  2.68261628] -3.325166029666808 ;\n",
+      "Epoch 160/1000, Cost: 5.6657\n",
+      " and the parameters are [-1.87882372  2.68259126] -3.3252100514322285 ;\n",
+      "Epoch 160/1000, Cost: 4.6818\n",
+      " and the parameters are [-1.87877557  2.68275427] -3.3252089784571592 ;\n",
+      "Epoch 160/1000, Cost: 2.7364\n",
+      " and the parameters are [-1.8787264   2.68281549] -3.3252755580791042 ;\n",
+      "Epoch 160/1000, Cost: 3.6073\n",
+      " and the parameters are [-1.87872374  2.68285116] -3.325323824818445 ;\n",
+      "Epoch 160/1000, Cost: 5.3962\n",
+      " and the parameters are [-1.87873629  2.6828853 ] -3.3253840177785805 ;\n",
+      "Epoch 160/1000, Cost: 5.3665\n",
+      " and the parameters are [-1.87863226  2.68300159] -3.325407755651985 ;\n",
+      "Epoch 160/1000, Cost: 2.6446\n",
+      " and the parameters are [-1.87861817  2.6831066 ] -3.325416213232048 ;\n",
+      "Epoch 160/1000, Cost: 4.9616\n",
+      " and the parameters are [-1.87863794  2.68302699] -3.3255508546190016 ;\n",
+      "Epoch 160/1000, Cost: 7.3388\n",
+      " and the parameters are [-1.87873205  2.68294534] -3.325623016665356 ;\n",
+      "Epoch 160/1000, Cost: 4.4027\n",
+      " and the parameters are [-1.87879326  2.68298844] -3.3256289054742387 ;\n",
+      "Epoch 160/1000, Cost: 1.6908\n",
+      " and the parameters are [-1.87882079  2.68302756] -3.3256442814165292 ;\n",
+      "Epoch 160/1000, Cost: 6.7122\n",
+      " and the parameters are [-1.87877467  2.68297317] -3.325744618761768 ;\n",
+      "Epoch 160/1000, Cost: 6.8574\n",
+      " and the parameters are [-1.8787306   2.68299458] -3.325789240756996 ;\n",
+      "Epoch 160/1000, Cost: 5.0072\n",
+      " and the parameters are [-1.87874153  2.68296268] -3.3258805878410564 ;\n",
+      "Epoch 160/1000, Cost: 3.6626\n",
+      " and the parameters are [-1.87877782  2.68291194] -3.3259800596125717 ;\n",
+      "Epoch 160/1000, Cost: 5.2708\n",
+      " and the parameters are [-1.87885185  2.68280352] -3.326096029641202 ;\n",
+      "Epoch 160/1000, Cost: 2.5658\n",
+      " and the parameters are [-1.8789339   2.68284729] -3.3260914265785115 ;\n",
+      "Epoch 160/1000, Cost: 3.4071\n",
+      " and the parameters are [-1.87900854  2.68279225] -3.326161981654714 ;\n",
+      "Epoch 160/1000, Cost: 4.4360\n",
+      " and the parameters are [-1.87895403  2.68281987] -3.326251211500953 ;\n",
+      "Epoch 160/1000, Cost: 4.2550\n",
+      " and the parameters are [-1.878996    2.68278931] -3.326331363570713 ;\n",
+      "Epoch 160/1000, Cost: 6.2393\n",
+      " and the parameters are [-1.87905055  2.68276315] -3.3263921155896066 ;\n",
+      "Epoch 160/1000, Cost: 4.5756\n",
+      " and the parameters are [-1.87904049  2.68298027] -3.3263018856796926 ;\n",
+      "Epoch 160/1000, Cost: 6.6425\n",
+      " and the parameters are [-1.87908589  2.68287   ] -3.326431081652711 ;\n",
+      "Epoch 160/1000, Cost: 4.0642\n",
+      " and the parameters are [-1.87902458  2.68288176] -3.3265342981037302 ;\n",
+      "Epoch 160/1000, Cost: 4.1874\n",
+      " and the parameters are [-1.87901594  2.68290475] -3.3265893541761042 ;\n",
+      "Epoch 160/1000, Cost: 3.4110\n",
+      " and the parameters are [-1.87897448  2.68302999] -3.3265975815085125 ;\n",
+      "Epoch 160/1000, Cost: 5.9189\n",
+      " and the parameters are [-1.87908417  2.68298875] -3.326632297484474 ;\n",
+      "Epoch 160/1000, Cost: 3.2467\n",
+      " and the parameters are [-1.87909699  2.68303046] -3.3266701209669414 ;\n",
+      "Epoch 160/1000, Cost: 5.6550\n",
+      " and the parameters are [-1.87913969  2.6830299 ] -3.3267356737096354 ;\n",
+      "Epoch 160/1000, Cost: 7.3684\n",
+      " and the parameters are [-1.87908561  2.68305032] -3.32683245077225 ;\n",
+      "Epoch 160/1000, Cost: 3.3424\n",
+      " and the parameters are [-1.8791084   2.68308426] -3.326871365464127 ;\n",
+      "Epoch 160/1000, Cost: 3.5141\n",
+      " and the parameters are [-1.87914561  2.68311384] -3.3269175909739244 ;\n",
+      "Epoch 160/1000, Cost: 6.1865\n",
+      " and the parameters are [-1.87917474  2.68314455] -3.3269762829504868 ;\n",
+      "Epoch 160/1000, Cost: 6.5507\n",
+      " and the parameters are [-1.87911289  2.6831263 ] -3.327097385353161 ;\n",
+      "Epoch 160/1000, Cost: 6.8625\n",
+      " and the parameters are [-1.87919148  2.6830432 ] -3.3271478971082273 ;\n",
+      "Epoch 160/1000, Cost: 3.6262\n",
+      " and the parameters are [-1.87923267  2.68318891] -3.327089677245199 ;\n",
+      "Epoch 160/1000, Cost: 4.5078\n",
+      " and the parameters are [-1.87929682  2.68321995] -3.3270954039546976 ;\n",
+      "Epoch 160/1000, Cost: 4.4466\n",
+      " and the parameters are [-1.87936132  2.68313924] -3.327190473616178 ;\n",
+      "Epoch 160/1000, Cost: 6.1343\n",
+      " and the parameters are [-1.87932931  2.68329009] -3.3271690507008254 ;\n",
+      "Epoch 160/1000, Cost: 5.2964\n",
+      " and the parameters are [-1.87935206  2.68335139] -3.327185953329144 ;\n",
+      "Epoch 160/1000, Cost: 3.8628\n",
+      " and the parameters are [-1.87937598  2.68341957] -3.32717618025312 ;\n",
+      "Epoch 160/1000, Cost: 3.9401\n",
+      " and the parameters are [-1.87935137  2.68335375] -3.3273045416359643 ;\n",
+      "Epoch 160/1000, Cost: 3.0431\n",
+      " and the parameters are [-1.87936849  2.68346884] -3.327294665071098 ;\n",
+      "Epoch 160/1000, Cost: 5.3378\n",
+      " and the parameters are [-1.87943276  2.68335355] -3.3274093338287414 ;\n",
+      "Epoch 160/1000, Cost: 4.6187\n",
+      " and the parameters are [-1.87943197  2.68333372] -3.327473685741727 ;\n",
+      "Epoch 160/1000, Cost: 4.8760\n",
+      " and the parameters are [-1.87943413  2.68342386] -3.327474802721721 ;\n",
+      "Epoch 160/1000, Cost: 5.8486\n",
+      " and the parameters are [-1.87942692  2.68347339] -3.3275241766228376 ;\n",
+      "Epoch 160/1000, Cost: 4.4615\n",
+      " and the parameters are [-1.8794628   2.68350192] -3.3275726033909168 ;\n",
+      "Epoch 160/1000, Cost: 3.8690\n",
+      " and the parameters are [-1.87957855  2.683379  ] -3.3276757320357997 ;\n",
+      "Epoch 160/1000, Cost: 3.7620\n",
+      " and the parameters are [-1.87963857  2.68350302] -3.327632008071674 ;\n",
+      "Epoch 160/1000, Cost: 5.2986\n",
+      " and the parameters are [-1.87972312  2.68352638] -3.327647441649161 ;\n",
+      "Epoch 160/1000, Cost: 4.5308\n",
+      " and the parameters are [-1.87971504  2.68350988] -3.3277244994885145 ;\n",
+      "Epoch 160/1000, Cost: 2.5281\n",
+      " and the parameters are [-1.87974259  2.68356812] -3.3277438241368626 ;\n",
+      "Epoch 160/1000, Cost: 4.2026\n",
+      " and the parameters are [-1.87975035  2.68367113] -3.3277240597549387 ;\n",
+      "Epoch 160/1000, Cost: 6.5404\n",
+      " and the parameters are [-1.87980906  2.68361355] -3.3278121083881835 ;\n",
+      "Epoch 160/1000, Cost: 6.0992\n",
+      " and the parameters are [-1.8798198   2.68357184] -3.3279244159739294 ;\n",
+      "Epoch 160/1000, Cost: 4.2392\n",
+      " and the parameters are [-1.87984359  2.68368217] -3.3278947443989715 ;\n",
+      "Epoch 160/1000, Cost: 3.9534\n",
+      " and the parameters are [-1.87986924  2.68366726] -3.3279663191140822 ;\n",
+      "Epoch 160/1000, Cost: 3.9518\n",
+      " and the parameters are [-1.87986296  2.68376342] -3.3279810222708397 ;\n",
+      "Epoch 160/1000, Cost: 5.8868\n",
+      " and the parameters are [-1.87994613  2.68361598] -3.328127367764839 ;\n",
+      "Epoch 160/1000, Cost: 7.5678\n",
+      " and the parameters are [-1.87991997  2.68370341] -3.328110602920636 ;\n",
+      "Epoch 160/1000, Cost: 6.8407\n",
+      " and the parameters are [-1.8800033   2.68371938] -3.328113584856148 ;\n",
+      "Epoch 160/1000, Cost: 4.2489\n",
+      " and the parameters are [-1.87998987  2.68369829] -3.3282230678433105 ;\n",
+      "Epoch 160/1000, Cost: 8.2363\n",
+      " and the parameters are [-1.88005325  2.68368671] -3.3282700541810604 ;\n",
+      "Epoch 160/1000, Cost: 4.9700\n",
+      " and the parameters are [-1.87999928  2.68381308] -3.328277408251198 ;\n",
+      "Epoch 160/1000, Cost: 4.6201\n",
+      " and the parameters are [-1.88008865  2.68380976] -3.3283228166803744 ;\n",
+      "Epoch 160/1000, Cost: 2.9049\n",
+      " and the parameters are [-1.88012516  2.68390224] -3.3283178366692483 ;\n",
+      "Epoch 160/1000, Cost: 2.7099\n",
+      " and the parameters are [-1.8800808   2.68406536] -3.3282896576261183 ;\n",
+      "Epoch 160/1000, Cost: 3.1866\n",
+      " and the parameters are [-1.88021496  2.68401285] -3.3283351358599185 ;\n",
+      "Epoch 160/1000, Cost: 4.6992\n",
+      " and the parameters are [-1.88022568  2.68418735] -3.328287468140923 ;\n",
+      "Epoch 160/1000, Cost: 4.1856\n",
+      " and the parameters are [-1.88025219  2.68432176] -3.3282441180260522 ;\n",
+      "Epoch 160/1000, Cost: 4.2386\n",
+      " and the parameters are [-1.88029481  2.6843545 ] -3.328264284906239 ;\n",
+      "Epoch 160/1000, Cost: 6.7912\n",
+      " and the parameters are [-1.88039401  2.68429071] -3.3283388522969095 ;\n",
+      "Epoch 160/1000, Cost: 6.4590\n",
+      " and the parameters are [-1.88026519  2.68437213] -3.3283997338465268 ;\n",
+      "Epoch 160/1000, Cost: 2.5288\n",
+      " and the parameters are [-1.8802753   2.68441835] -3.328434406747308 ;\n",
+      "Epoch 160/1000, Cost: 5.7793\n",
+      " and the parameters are [-1.88025114  2.68441415] -3.3285237349430234 ;\n",
+      "Epoch 160/1000, Cost: 2.9506\n",
+      " and the parameters are [-1.88028902  2.68449262] -3.3285150525483997 ;\n",
+      "Epoch 160/1000, Cost: 4.5775\n",
+      " and the parameters are [-1.88023595  2.68469165] -3.3284767590282347 ;\n",
+      "Epoch 160/1000, Cost: 7.5874\n",
+      " and the parameters are [-1.88021061  2.68458662] -3.328626797660106 ;\n",
+      "Epoch 160/1000, Cost: 4.4099\n",
+      " and the parameters are [-1.88023562  2.68465537] -3.3286554642861907 ;\n",
+      "Epoch 160/1000, Cost: 3.6207\n",
+      " and the parameters are [-1.88026793  2.68473178] -3.3286599050878 ;\n",
+      "Epoch 160/1000, Cost: 3.6900\n",
+      " and the parameters are [-1.88027248  2.68490477] -3.3285983252640046 ;\n",
+      "Epoch 160/1000, Cost: 2.6390\n",
+      " and the parameters are [-1.88025438  2.68499789] -3.3286029634379295 ;\n",
+      "Epoch 160/1000, Cost: 3.5797\n",
+      " and the parameters are [-1.88028475  2.68515003] -3.3285455513987845 ;\n",
+      "Epoch 160/1000, Cost: 3.7211\n",
+      " and the parameters are [-1.88031169  2.68521232] -3.328568411638605 ;\n",
+      "Epoch 160/1000, Cost: 3.7054\n",
+      " and the parameters are [-1.88033088  2.68520115] -3.3286419565479526 ;\n",
+      "Epoch 160/1000, Cost: 3.1744\n",
+      " and the parameters are [-1.88027421  2.6852354 ] -3.3287212707080696 ;\n",
+      "Epoch 170/1000, Cost: 4.8299\n",
+      " and the parameters are [-1.91944725  2.73210032] -3.3982323504915306 ;\n",
+      "Epoch 170/1000, Cost: 4.3971\n",
+      " and the parameters are [-1.91951248  2.73206481] -3.398316310448321 ;\n",
+      "Epoch 170/1000, Cost: 2.6579\n",
+      " and the parameters are [-1.91955886  2.73215763] -3.398292779056975 ;\n",
+      "Epoch 170/1000, Cost: 5.7116\n",
+      " and the parameters are [-1.91961959  2.73211192] -3.398360130575407 ;\n",
+      "Epoch 170/1000, Cost: 3.7767\n",
+      " and the parameters are [-1.91957527  2.73216587] -3.3984176670865627 ;\n",
+      "Epoch 170/1000, Cost: 5.0930\n",
+      " and the parameters are [-1.91966822  2.73208788] -3.3985022943125576 ;\n",
+      "Epoch 170/1000, Cost: 4.8929\n",
+      " and the parameters are [-1.9196824   2.73201439] -3.3986323262509295 ;\n",
+      "Epoch 170/1000, Cost: 5.0849\n",
+      " and the parameters are [-1.91968546  2.73197264] -3.3987431207970324 ;\n",
+      "Epoch 170/1000, Cost: 2.7592\n",
+      " and the parameters are [-1.91971996  2.73203798] -3.3987454763343727 ;\n",
+      "Epoch 170/1000, Cost: 4.4306\n",
+      " and the parameters are [-1.91975699  2.73192953] -3.3988587468586764 ;\n",
+      "Epoch 170/1000, Cost: 2.6651\n",
+      " and the parameters are [-1.91972833  2.7320304 ] -3.398864584996495 ;\n",
+      "Epoch 170/1000, Cost: 5.5958\n",
+      " and the parameters are [-1.91980818  2.73197628] -3.3989366724773706 ;\n",
+      "Epoch 170/1000, Cost: 6.5672\n",
+      " and the parameters are [-1.91984647  2.73192769] -3.399010784953744 ;\n",
+      "Epoch 170/1000, Cost: 4.1539\n",
+      " and the parameters are [-1.91984377  2.73201934] -3.3990066012576365 ;\n",
+      "Epoch 170/1000, Cost: 4.6313\n",
+      " and the parameters are [-1.91994824  2.73193828] -3.3990838829763503 ;\n",
+      "Epoch 170/1000, Cost: 3.6277\n",
+      " and the parameters are [-1.92002783  2.73189318] -3.399149959751689 ;\n",
+      "Epoch 170/1000, Cost: 3.7265\n",
+      " and the parameters are [-1.92014376  2.73188352] -3.399172092171678 ;\n",
+      "Epoch 170/1000, Cost: 3.1306\n",
+      " and the parameters are [-1.92025721  2.73189088] -3.3991798299025717 ;\n",
+      "Epoch 170/1000, Cost: 6.1301\n",
+      " and the parameters are [-1.92011004  2.73208739] -3.3991795449764597 ;\n",
+      "Epoch 170/1000, Cost: 2.7017\n",
+      " and the parameters are [-1.92010518  2.73211155] -3.3992348928064433 ;\n",
+      "Epoch 170/1000, Cost: 3.0708\n",
+      " and the parameters are [-1.92011846  2.73217705] -3.399260493411869 ;\n",
+      "Epoch 170/1000, Cost: 3.6096\n",
+      " and the parameters are [-1.92008835  2.7322597 ] -3.3992814895895433 ;\n",
+      "Epoch 170/1000, Cost: 3.7674\n",
+      " and the parameters are [-1.92009569  2.73226711] -3.399353778929637 ;\n",
+      "Epoch 170/1000, Cost: 3.4305\n",
+      " and the parameters are [-1.92013382  2.73226469] -3.3994043923148647 ;\n",
+      "Epoch 170/1000, Cost: 5.6900\n",
+      " and the parameters are [-1.92021674  2.73216284] -3.3995279758062003 ;\n",
+      "Epoch 170/1000, Cost: 4.2266\n",
+      " and the parameters are [-1.92019534  2.73215935] -3.3995943275235816 ;\n",
+      "Epoch 170/1000, Cost: 2.1511\n",
+      " and the parameters are [-1.9201863   2.73224655] -3.3996028159197116 ;\n",
+      "Epoch 170/1000, Cost: 7.6254\n",
+      " and the parameters are [-1.92020556  2.73223938] -3.399628187712465 ;\n",
+      "Epoch 170/1000, Cost: 5.4372\n",
+      " and the parameters are [-1.92035333  2.73206849] -3.399749346356932 ;\n",
+      "Epoch 170/1000, Cost: 4.5806\n",
+      " and the parameters are [-1.92036576  2.73210801] -3.399792854569888 ;\n",
+      "Epoch 170/1000, Cost: 5.3530\n",
+      " and the parameters are [-1.92042956  2.73205904] -3.3998686346237843 ;\n",
+      "Epoch 170/1000, Cost: 2.8290\n",
+      " and the parameters are [-1.92044425  2.73214561] -3.3998568761516488 ;\n",
+      "Epoch 170/1000, Cost: 5.0213\n",
+      " and the parameters are [-1.92042112  2.73223629] -3.3998232240187463 ;\n",
+      "Epoch 170/1000, Cost: 3.9159\n",
+      " and the parameters are [-1.9204848   2.73228051] -3.3998291295053154 ;\n",
+      "Epoch 170/1000, Cost: 4.2800\n",
+      " and the parameters are [-1.92051103  2.73226604] -3.399867612198476 ;\n",
+      "Epoch 170/1000, Cost: 4.8431\n",
+      " and the parameters are [-1.92074536  2.7322156 ] -3.3998220819413802 ;\n",
+      "Epoch 170/1000, Cost: 3.5360\n",
+      " and the parameters are [-1.92081811  2.73225232] -3.3998281858072357 ;\n",
+      "Epoch 170/1000, Cost: 5.4384\n",
+      " and the parameters are [-1.92091776  2.73214943] -3.399940425238154 ;\n",
+      "Epoch 170/1000, Cost: 4.3691\n",
+      " and the parameters are [-1.92088529  2.73218774] -3.3999771833937893 ;\n",
+      "Epoch 170/1000, Cost: 5.6993\n",
+      " and the parameters are [-1.92096761  2.73214445] -3.400031026670275 ;\n",
+      "Epoch 170/1000, Cost: 4.4343\n",
+      " and the parameters are [-1.92100654  2.73220099] -3.400031835062803 ;\n",
+      "Epoch 170/1000, Cost: 3.1238\n",
+      " and the parameters are [-1.92109864  2.73221183] -3.4000406920872335 ;\n",
+      "Epoch 170/1000, Cost: 6.0001\n",
+      " and the parameters are [-1.92100279  2.73236175] -3.4000487470301644 ;\n",
+      "Epoch 170/1000, Cost: 5.1196\n",
+      " and the parameters are [-1.92103366  2.73237495] -3.400093338795222 ;\n",
+      "Epoch 170/1000, Cost: 2.6004\n",
+      " and the parameters are [-1.92098329  2.73249137] -3.4001078456931046 ;\n",
+      "Epoch 170/1000, Cost: 3.0093\n",
+      " and the parameters are [-1.92099592  2.73249623] -3.4001859951363973 ;\n",
+      "Epoch 170/1000, Cost: 4.7099\n",
+      " and the parameters are [-1.92107078  2.73243867] -3.4002278696970465 ;\n",
+      "Epoch 170/1000, Cost: 4.5171\n",
+      " and the parameters are [-1.92103844  2.73246804] -3.4002923266697214 ;\n",
+      "Epoch 170/1000, Cost: 3.7532\n",
+      " and the parameters are [-1.92112046  2.73246447] -3.400344360995736 ;\n",
+      "Epoch 170/1000, Cost: 4.2341\n",
+      " and the parameters are [-1.92115605  2.73238822] -3.4004460226410034 ;\n",
+      "Epoch 170/1000, Cost: 3.0181\n",
+      " and the parameters are [-1.92109633  2.73247745] -3.4004888256430075 ;\n",
+      "Epoch 170/1000, Cost: 3.7580\n",
+      " and the parameters are [-1.92105924  2.7325466 ] -3.40054802681234 ;\n",
+      "Epoch 170/1000, Cost: 3.2408\n",
+      " and the parameters are [-1.92106071  2.73266683] -3.4005346710775894 ;\n",
+      "Epoch 170/1000, Cost: 3.7015\n",
+      " and the parameters are [-1.92106302  2.73268968] -3.4005798379792576 ;\n",
+      "Epoch 170/1000, Cost: 4.9295\n",
+      " and the parameters are [-1.9210722   2.73262832] -3.4006656490658056 ;\n",
+      "Epoch 170/1000, Cost: 3.9439\n",
+      " and the parameters are [-1.92102872  2.73262439] -3.400755743204204 ;\n",
+      "Epoch 170/1000, Cost: 3.4842\n",
+      " and the parameters are [-1.92107106  2.73260661] -3.4008271239945294 ;\n",
+      "Epoch 170/1000, Cost: 4.4721\n",
+      " and the parameters are [-1.92111561  2.73252177] -3.4009287586392425 ;\n",
+      "Epoch 170/1000, Cost: 3.7995\n",
+      " and the parameters are [-1.92109273  2.7325019 ] -3.4009955570246535 ;\n",
+      "Epoch 170/1000, Cost: 3.7205\n",
+      " and the parameters are [-1.92110494  2.73252985] -3.401053526548105 ;\n",
+      "Epoch 170/1000, Cost: 2.8633\n",
+      " and the parameters are [-1.92112187  2.73253629] -3.4011114821823707 ;\n",
+      "Epoch 170/1000, Cost: 4.7855\n",
+      " and the parameters are [-1.9212244  2.7324859] -3.4011907276647775 ;\n",
+      "Epoch 170/1000, Cost: 6.1342\n",
+      " and the parameters are [-1.92119443  2.73267201] -3.401137724984837 ;\n",
+      "Epoch 170/1000, Cost: 8.0578\n",
+      " and the parameters are [-1.92122268  2.73268565] -3.4011943919363623 ;\n",
+      "Epoch 170/1000, Cost: 3.8004\n",
+      " and the parameters are [-1.92123771  2.73269458] -3.401242238729322 ;\n",
+      "Epoch 170/1000, Cost: 4.8427\n",
+      " and the parameters are [-1.92132513  2.73268236] -3.4012817861548954 ;\n",
+      "Epoch 170/1000, Cost: 2.7071\n",
+      " and the parameters are [-1.92136442  2.73269383] -3.401317758767225 ;\n",
+      "Epoch 170/1000, Cost: 2.9486\n",
+      " and the parameters are [-1.92140048  2.73282258] -3.4012662282643467 ;\n",
+      "Epoch 170/1000, Cost: 4.4615\n",
+      " and the parameters are [-1.92146093  2.73283459] -3.4012909953627184 ;\n",
+      "Epoch 170/1000, Cost: 7.8567\n",
+      " and the parameters are [-1.92141123  2.73290987] -3.4012943515498204 ;\n",
+      "Epoch 170/1000, Cost: 3.4882\n",
+      " and the parameters are [-1.92141372  2.73303384] -3.401281234731431 ;\n",
+      "Epoch 170/1000, Cost: 4.3757\n",
+      " and the parameters are [-1.92145983  2.73308519] -3.401295819773519 ;\n",
+      "Epoch 170/1000, Cost: 6.6694\n",
+      " and the parameters are [-1.92152505  2.73297418] -3.4014166304667044 ;\n",
+      "Epoch 170/1000, Cost: 4.1288\n",
+      " and the parameters are [-1.92149388  2.73302017] -3.401463104693224 ;\n",
+      "Epoch 170/1000, Cost: 2.9894\n",
+      " and the parameters are [-1.92148658  2.7329951 ] -3.4015467870301475 ;\n",
+      "Epoch 170/1000, Cost: 4.9314\n",
+      " and the parameters are [-1.92148933  2.73323728] -3.4014308576210777 ;\n",
+      "Epoch 170/1000, Cost: 5.1316\n",
+      " and the parameters are [-1.92147119  2.73331228] -3.401465532986997 ;\n",
+      "Epoch 170/1000, Cost: 5.9585\n",
+      " and the parameters are [-1.92148025  2.73329378] -3.4015178303680327 ;\n",
+      "Epoch 170/1000, Cost: 3.7802\n",
+      " and the parameters are [-1.92151413  2.73341007] -3.401492081409995 ;\n",
+      "Epoch 170/1000, Cost: 8.0067\n",
+      " and the parameters are [-1.92150675  2.73349374] -3.4014779191585904 ;\n",
+      "Epoch 170/1000, Cost: 3.5953\n",
+      " and the parameters are [-1.92155054  2.73353303] -3.4015056545895748 ;\n",
+      "Epoch 170/1000, Cost: 3.0824\n",
+      " and the parameters are [-1.92154006  2.73352614] -3.4015856050102093 ;\n",
+      "Epoch 170/1000, Cost: 7.6022\n",
+      " and the parameters are [-1.92158511  2.73361831] -3.4015397243624412 ;\n",
+      "Epoch 170/1000, Cost: 4.4082\n",
+      " and the parameters are [-1.92158405  2.73369654] -3.4015475780635436 ;\n",
+      "Epoch 170/1000, Cost: 5.5159\n",
+      " and the parameters are [-1.92160731  2.73364592] -3.4016595985509297 ;\n",
+      "Epoch 170/1000, Cost: 2.8076\n",
+      " and the parameters are [-1.92158442  2.73375168] -3.4016665086006377 ;\n",
+      "Epoch 170/1000, Cost: 7.0044\n",
+      " and the parameters are [-1.92159901  2.73361566] -3.401804919451185 ;\n",
+      "Epoch 170/1000, Cost: 3.1968\n",
+      " and the parameters are [-1.92156917  2.73371356] -3.4018263063183607 ;\n",
+      "Epoch 170/1000, Cost: 5.3533\n",
+      " and the parameters are [-1.92150922  2.73382209] -3.4018608471187344 ;\n",
+      "Epoch 170/1000, Cost: 6.3274\n",
+      " and the parameters are [-1.92154114  2.73378646] -3.4019471838602113 ;\n",
+      "Epoch 170/1000, Cost: 4.2343\n",
+      " and the parameters are [-1.92152052  2.73382092] -3.401976953874663 ;\n",
+      "Epoch 170/1000, Cost: 3.4235\n",
+      " and the parameters are [-1.92152021  2.73380322] -3.4020589048430834 ;\n",
+      "Epoch 170/1000, Cost: 4.4668\n",
+      " and the parameters are [-1.92154896  2.73385403] -3.4020762469281287 ;\n",
+      "Epoch 170/1000, Cost: 3.5253\n",
+      " and the parameters are [-1.92159801  2.7338081 ] -3.4021667312027684 ;\n",
+      "Epoch 170/1000, Cost: 4.2593\n",
+      " and the parameters are [-1.92166564  2.73380119] -3.402198256570651 ;\n",
+      "Epoch 170/1000, Cost: 6.9057\n",
+      " and the parameters are [-1.92164499  2.73383961] -3.4022145865409237 ;\n",
+      "Epoch 170/1000, Cost: 5.1102\n",
+      " and the parameters are [-1.9216694   2.73395745] -3.4021858997859424 ;\n",
+      "Epoch 170/1000, Cost: 3.6149\n",
+      " and the parameters are [-1.92165583  2.73406596] -3.4021903636686575 ;\n",
+      "Epoch 170/1000, Cost: 3.7684\n",
+      " and the parameters are [-1.92163466  2.73413199] -3.402226189481611 ;\n",
+      "Epoch 170/1000, Cost: 6.3551\n",
+      " and the parameters are [-1.92160191  2.7342022 ] -3.4022362985247336 ;\n",
+      "Epoch 170/1000, Cost: 6.1231\n",
+      " and the parameters are [-1.92164627  2.7342073 ] -3.402241748451146 ;\n",
+      "Epoch 170/1000, Cost: 3.4361\n",
+      " and the parameters are [-1.921668    2.73423928] -3.4022796743933332 ;\n",
+      "Epoch 170/1000, Cost: 4.9731\n",
+      " and the parameters are [-1.92163932  2.73435372] -3.4022764411037256 ;\n",
+      "Epoch 170/1000, Cost: 2.7337\n",
+      " and the parameters are [-1.92163421  2.73453022] -3.4022106735604787 ;\n",
+      "Epoch 170/1000, Cost: 2.7642\n",
+      " and the parameters are [-1.92165084  2.73463865] -3.402193364368107 ;\n",
+      "Epoch 170/1000, Cost: 5.6163\n",
+      " and the parameters are [-1.92163715  2.7345826 ] -3.4022947243417105 ;\n",
+      "Epoch 170/1000, Cost: 3.9735\n",
+      " and the parameters are [-1.92156574  2.73474762] -3.402285564785678 ;\n",
+      "Epoch 170/1000, Cost: 3.5012\n",
+      " and the parameters are [-1.9215735   2.73476754] -3.4023400822194887 ;\n",
+      "Epoch 170/1000, Cost: 7.6286\n",
+      " and the parameters are [-1.92157116  2.73479553] -3.4023904953530106 ;\n",
+      "Epoch 170/1000, Cost: 6.8152\n",
+      " and the parameters are [-1.92151942  2.73487805] -3.402410966816767 ;\n",
+      "Epoch 170/1000, Cost: 2.6970\n",
+      " and the parameters are [-1.92152036  2.73488628] -3.4024748519652377 ;\n",
+      "Epoch 170/1000, Cost: 3.9109\n",
+      " and the parameters are [-1.9215302   2.73492565] -3.402494384513749 ;\n",
+      "Epoch 170/1000, Cost: 7.2587\n",
+      " and the parameters are [-1.92169922  2.73466423] -3.4026407163576446 ;\n",
+      "Epoch 170/1000, Cost: 6.7842\n",
+      " and the parameters are [-1.92165148  2.73461306] -3.402771414713665 ;\n",
+      "Epoch 170/1000, Cost: 4.7487\n",
+      " and the parameters are [-1.92158993  2.73473969] -3.4027937662341388 ;\n",
+      "Epoch 170/1000, Cost: 7.3650\n",
+      " and the parameters are [-1.92164398  2.73459604] -3.402938500454015 ;\n",
+      "Epoch 170/1000, Cost: 3.8060\n",
+      " and the parameters are [-1.92167407  2.73463204] -3.4029660331351317 ;\n",
+      "Epoch 170/1000, Cost: 4.1103\n",
+      " and the parameters are [-1.92159849  2.73466387] -3.403055606709334 ;\n",
+      "Epoch 170/1000, Cost: 4.0720\n",
+      " and the parameters are [-1.92168084  2.73456583] -3.40316429688199 ;\n",
+      "Epoch 170/1000, Cost: 5.5173\n",
+      " and the parameters are [-1.92166461  2.7346863 ] -3.4031371723227717 ;\n",
+      "Epoch 170/1000, Cost: 4.9807\n",
+      " and the parameters are [-1.92171363  2.73463457] -3.4032326511042252 ;\n",
+      "Epoch 170/1000, Cost: 4.0741\n",
+      " and the parameters are [-1.92164813  2.73474997] -3.403243056262237 ;\n",
+      "Epoch 170/1000, Cost: 3.8081\n",
+      " and the parameters are [-1.92164    2.7347445] -3.40330604569888 ;\n",
+      "Epoch 170/1000, Cost: 2.7149\n",
+      " and the parameters are [-1.92166544  2.73478044] -3.4033365086942333 ;\n",
+      "Epoch 170/1000, Cost: 3.9651\n",
+      " and the parameters are [-1.92164343  2.73494625] -3.4032979686414566 ;\n",
+      "Epoch 170/1000, Cost: 7.1268\n",
+      " and the parameters are [-1.92178856  2.73481753] -3.403383781962916 ;\n",
+      "Epoch 170/1000, Cost: 3.4568\n",
+      " and the parameters are [-1.92185162  2.73490559] -3.403342124823768 ;\n",
+      "Epoch 170/1000, Cost: 5.3621\n",
+      " and the parameters are [-1.92196519  2.73482465] -3.4034173482989103 ;\n",
+      "Epoch 170/1000, Cost: 5.7964\n",
+      " and the parameters are [-1.9218775  2.7347998] -3.403559145426102 ;\n",
+      "Epoch 170/1000, Cost: 2.8003\n",
+      " and the parameters are [-1.92183068  2.73498553] -3.403517709200912 ;\n",
+      "Epoch 170/1000, Cost: 4.4415\n",
+      " and the parameters are [-1.92183541  2.7349405 ] -3.4036109266376893 ;\n",
+      "Epoch 170/1000, Cost: 4.6308\n",
+      " and the parameters are [-1.92183774  2.73495899] -3.403664126811923 ;\n",
+      "Epoch 170/1000, Cost: 4.0057\n",
+      " and the parameters are [-1.92187831  2.73492981] -3.403739889703955 ;\n",
+      "Epoch 170/1000, Cost: 6.8425\n",
+      " and the parameters are [-1.92186565  2.73500508] -3.4037550466581927 ;\n",
+      "Epoch 170/1000, Cost: 3.7859\n",
+      " and the parameters are [-1.92193143  2.73496193] -3.403841578752123 ;\n",
+      "Epoch 170/1000, Cost: 5.5083\n",
+      " and the parameters are [-1.92191229  2.73509309] -3.4038274567892595 ;\n",
+      "Epoch 170/1000, Cost: 2.7006\n",
+      " and the parameters are [-1.92193237  2.7351115 ] -3.403879565208388 ;\n",
+      "Epoch 170/1000, Cost: 4.9797\n",
+      " and the parameters are [-1.92195445  2.73515379] -3.403912272969213 ;\n",
+      "Epoch 170/1000, Cost: 5.6079\n",
+      " and the parameters are [-1.92197548  2.73525124] -3.4039049155857346 ;\n",
+      "Epoch 170/1000, Cost: 5.8941\n",
+      " and the parameters are [-1.92202785  2.73521029] -3.4039594516001297 ;\n",
+      "Epoch 170/1000, Cost: 3.7920\n",
+      " and the parameters are [-1.92199421  2.73534938] -3.4039499950948513 ;\n",
+      "Epoch 170/1000, Cost: 4.3941\n",
+      " and the parameters are [-1.92204841  2.73538146] -3.4039480642480484 ;\n",
+      "Epoch 170/1000, Cost: 5.8362\n",
+      " and the parameters are [-1.92214672  2.73539268] -3.4039652048243916 ;\n",
+      "Epoch 170/1000, Cost: 3.3974\n",
+      " and the parameters are [-1.92216683  2.73537786] -3.4040394470857605 ;\n",
+      "Epoch 170/1000, Cost: 3.0688\n",
+      " and the parameters are [-1.92223034  2.73534574] -3.4041072725144725 ;\n",
+      "Epoch 170/1000, Cost: 3.0485\n",
+      " and the parameters are [-1.9222497   2.73538118] -3.404138576185438 ;\n",
+      "Epoch 170/1000, Cost: 4.6459\n",
+      " and the parameters are [-1.92229853  2.73543085] -3.404158397722197 ;\n",
+      "Epoch 170/1000, Cost: 3.0207\n",
+      " and the parameters are [-1.9222744   2.73550349] -3.4041852269506294 ;\n",
+      "Epoch 170/1000, Cost: 6.1021\n",
+      " and the parameters are [-1.92231944  2.73550942] -3.40420901364783 ;\n",
+      "Epoch 170/1000, Cost: 3.5994\n",
+      " and the parameters are [-1.92229538  2.73559861] -3.404215737147524 ;\n",
+      "Epoch 170/1000, Cost: 4.2679\n",
+      " and the parameters are [-1.92223907  2.735634  ] -3.40429589795927 ;\n",
+      "Epoch 170/1000, Cost: 2.6192\n",
+      " and the parameters are [-1.92227143  2.73566575] -3.4043243192231545 ;\n",
+      "Epoch 170/1000, Cost: 6.5770\n",
+      " and the parameters are [-1.92238933  2.7354959 ] -3.4044624645548285 ;\n",
+      "Epoch 170/1000, Cost: 2.6642\n",
+      " and the parameters are [-1.92243107  2.73561082] -3.404413377573078 ;\n",
+      "Epoch 170/1000, Cost: 4.7661\n",
+      " and the parameters are [-1.92248915  2.73573125] -3.4043399791236943 ;\n",
+      "Epoch 170/1000, Cost: 5.7318\n",
+      " and the parameters are [-1.92253583  2.73564071] -3.404415186404009 ;\n",
+      "Epoch 170/1000, Cost: 4.6197\n",
+      " and the parameters are [-1.92252791  2.73561208] -3.4045197117906367 ;\n",
+      "Epoch 170/1000, Cost: 4.3431\n",
+      " and the parameters are [-1.92256524  2.73569045] -3.404518729991163 ;\n",
+      "Epoch 170/1000, Cost: 7.7000\n",
+      " and the parameters are [-1.92256408  2.7357458 ] -3.404538754901859 ;\n",
+      "Epoch 170/1000, Cost: 4.1541\n",
+      " and the parameters are [-1.92266869  2.73575242] -3.404575756517715 ;\n",
+      "Epoch 170/1000, Cost: 4.8183\n",
+      " and the parameters are [-1.92277779  2.73569329] -3.404638967832199 ;\n",
+      "Epoch 170/1000, Cost: 4.5340\n",
+      " and the parameters are [-1.92283004  2.73569605] -3.4046805479485274 ;\n",
+      "Epoch 170/1000, Cost: 7.1764\n",
+      " and the parameters are [-1.92291028  2.73570549] -3.404681204373286 ;\n",
+      "Epoch 170/1000, Cost: 5.6772\n",
+      " and the parameters are [-1.92288591  2.7356441 ] -3.4047929181859637 ;\n",
+      "Epoch 170/1000, Cost: 5.2351\n",
+      " and the parameters are [-1.92284033  2.73557656] -3.4049265636658164 ;\n",
+      "Epoch 170/1000, Cost: 4.6845\n",
+      " and the parameters are [-1.92282806  2.7355778 ] -3.405008552387886 ;\n",
+      "Epoch 170/1000, Cost: 3.8677\n",
+      " and the parameters are [-1.92281274  2.73556089] -3.4051024726793724 ;\n",
+      "Epoch 170/1000, Cost: 3.2048\n",
+      " and the parameters are [-1.92283731  2.73558798] -3.405149676784652 ;\n",
+      "Epoch 170/1000, Cost: 5.3697\n",
+      " and the parameters are [-1.92284999  2.73570977] -3.4051295620994804 ;\n",
+      "Epoch 170/1000, Cost: 5.5167\n",
+      " and the parameters are [-1.92293765  2.73573482] -3.405148477952204 ;\n",
+      "Epoch 170/1000, Cost: 4.1099\n",
+      " and the parameters are [-1.92295552  2.73577765] -3.40518780979299 ;\n",
+      "Epoch 170/1000, Cost: 3.0682\n",
+      " and the parameters are [-1.92296358  2.73580318] -3.40521542096055 ;\n",
+      "Epoch 170/1000, Cost: 7.7602\n",
+      " and the parameters are [-1.92301132  2.7358554 ] -3.405203837360847 ;\n",
+      "Epoch 170/1000, Cost: 9.2134\n",
+      " and the parameters are [-1.92305887  2.73579204] -3.40523122542499 ;\n",
+      "Epoch 170/1000, Cost: 5.2724\n",
+      " and the parameters are [-1.92312602  2.7357056 ] -3.4053427233866556 ;\n",
+      "Epoch 170/1000, Cost: 4.1228\n",
+      " and the parameters are [-1.92313585  2.73574064] -3.4053964652739643 ;\n",
+      "Epoch 170/1000, Cost: 6.7402\n",
+      " and the parameters are [-1.92317943  2.73582136] -3.405364526779086 ;\n",
+      "Epoch 170/1000, Cost: 4.2432\n",
+      " and the parameters are [-1.92318878  2.73588209] -3.4053915367411363 ;\n",
+      "Epoch 170/1000, Cost: 4.4093\n",
+      " and the parameters are [-1.92319019  2.73602182] -3.4053619257025796 ;\n",
+      "Epoch 170/1000, Cost: 3.6411\n",
+      " and the parameters are [-1.92317343  2.73611138] -3.4053774332494284 ;\n",
+      "Epoch 170/1000, Cost: 4.0161\n",
+      " and the parameters are [-1.92322063  2.73611026] -3.4054303504373173 ;\n",
+      "Epoch 170/1000, Cost: 3.5285\n",
+      " and the parameters are [-1.92319766  2.73619539] -3.4054466580721967 ;\n",
+      "Epoch 170/1000, Cost: 5.3202\n",
+      " and the parameters are [-1.92322838  2.7363161 ] -3.405395003884049 ;\n",
+      "Epoch 170/1000, Cost: 5.1172\n",
+      " and the parameters are [-1.923331    2.73634516] -3.4054091154750417 ;\n",
+      "Epoch 170/1000, Cost: 4.6921\n",
+      " and the parameters are [-1.92332965  2.73637358] -3.4054680856749147 ;\n",
+      "Epoch 170/1000, Cost: 4.7241\n",
+      " and the parameters are [-1.92331472  2.73655715] -3.4054001916156555 ;\n",
+      "Epoch 170/1000, Cost: 3.4375\n",
+      " and the parameters are [-1.92333967  2.73651724] -3.40546947909777 ;\n",
+      "Epoch 170/1000, Cost: 3.6454\n",
+      " and the parameters are [-1.92332339  2.73657068] -3.4055034518726446 ;\n",
+      "Epoch 170/1000, Cost: 4.7764\n",
+      " and the parameters are [-1.92343873  2.73649684] -3.4055578792751815 ;\n",
+      "Epoch 170/1000, Cost: 2.9158\n",
+      " and the parameters are [-1.92344664  2.73652477] -3.4056089226540958 ;\n",
+      "Epoch 170/1000, Cost: 3.2842\n",
+      " and the parameters are [-1.92350016  2.73650336] -3.4056743906710265 ;\n",
+      "Epoch 170/1000, Cost: 3.5965\n",
+      " and the parameters are [-1.92353092  2.73657307] -3.405661600649961 ;\n",
+      "Epoch 170/1000, Cost: 4.7567\n",
+      " and the parameters are [-1.92356383  2.73664154] -3.405659391295806 ;\n",
+      "Epoch 170/1000, Cost: 4.0591\n",
+      " and the parameters are [-1.92356894  2.73675021] -3.4056568179628255 ;\n",
+      "Epoch 170/1000, Cost: 4.3573\n",
+      " and the parameters are [-1.92358008  2.73684392] -3.405659979870457 ;\n",
+      "Epoch 170/1000, Cost: 4.4277\n",
+      " and the parameters are [-1.92369643  2.73686125] -3.4056548717509076 ;\n",
+      "Epoch 170/1000, Cost: 7.2883\n",
+      " and the parameters are [-1.92359252  2.73694811] -3.4057041645367674 ;\n",
+      "Epoch 170/1000, Cost: 3.6475\n",
+      " and the parameters are [-1.92364075  2.73705459] -3.4056778459789627 ;\n",
+      "Epoch 170/1000, Cost: 3.9794\n",
+      " and the parameters are [-1.92364986  2.73708105] -3.4057142473271336 ;\n",
+      "Epoch 170/1000, Cost: 4.2721\n",
+      " and the parameters are [-1.92368333  2.73706122] -3.405782314512859 ;\n",
+      "Epoch 180/1000, Cost: 5.4713\n",
+      " and the parameters are [-1.96088604  2.78159089] -3.471815806982311 ;\n",
+      "Epoch 180/1000, Cost: 3.2977\n",
+      " and the parameters are [-1.96092636  2.78164404] -3.471827418889298 ;\n",
+      "Epoch 180/1000, Cost: 2.9002\n",
+      " and the parameters are [-1.96087629  2.78175526] -3.471850374625253 ;\n",
+      "Epoch 180/1000, Cost: 2.1898\n",
+      " and the parameters are [-1.96093426  2.78174523] -3.471882465938088 ;\n",
+      "Epoch 180/1000, Cost: 5.5657\n",
+      " and the parameters are [-1.96104736  2.78160634] -3.4719833836693557 ;\n",
+      "Epoch 180/1000, Cost: 6.8030\n",
+      " and the parameters are [-1.96112722  2.78152541] -3.4720509140804223 ;\n",
+      "Epoch 180/1000, Cost: 3.6854\n",
+      " and the parameters are [-1.96109333  2.78166017] -3.4720456908540727 ;\n",
+      "Epoch 180/1000, Cost: 6.3587\n",
+      " and the parameters are [-1.96101114  2.78169908] -3.472147824365301 ;\n",
+      "Epoch 180/1000, Cost: 3.8211\n",
+      " and the parameters are [-1.96105537  2.78178363] -3.4721386262844556 ;\n",
+      "Epoch 180/1000, Cost: 2.3331\n",
+      " and the parameters are [-1.96107045  2.78178085] -3.4721965291569763 ;\n",
+      "Epoch 180/1000, Cost: 6.6900\n",
+      " and the parameters are [-1.96115726  2.78168396] -3.472290124147924 ;\n",
+      "Epoch 180/1000, Cost: 5.8685\n",
+      " and the parameters are [-1.96124476  2.78157279] -3.4723743479689144 ;\n",
+      "Epoch 180/1000, Cost: 3.1580\n",
+      " and the parameters are [-1.96130562  2.78159287] -3.4724071683560513 ;\n",
+      "Epoch 180/1000, Cost: 3.5168\n",
+      " and the parameters are [-1.96132848  2.78166791] -3.4724217064027902 ;\n",
+      "Epoch 180/1000, Cost: 2.7884\n",
+      " and the parameters are [-1.9612852   2.78171698] -3.472463860774834 ;\n",
+      "Epoch 180/1000, Cost: 4.3417\n",
+      " and the parameters are [-1.96126282  2.78171625] -3.4725471808043737 ;\n",
+      "Epoch 180/1000, Cost: 3.2358\n",
+      " and the parameters are [-1.96135508  2.78167546] -3.4725975713450583 ;\n",
+      "Epoch 180/1000, Cost: 5.9443\n",
+      " and the parameters are [-1.96142597  2.78155915] -3.472726720682551 ;\n",
+      "Epoch 180/1000, Cost: 6.8122\n",
+      " and the parameters are [-1.96135584  2.78160619] -3.4727925547667247 ;\n",
+      "Epoch 180/1000, Cost: 3.4218\n",
+      " and the parameters are [-1.96138121  2.78168445] -3.4727944954834684 ;\n",
+      "Epoch 180/1000, Cost: 6.9348\n",
+      " and the parameters are [-1.96140342  2.78170962] -3.4728061366893104 ;\n",
+      "Epoch 180/1000, Cost: 5.7271\n",
+      " and the parameters are [-1.96151052  2.78154814] -3.472919118634231 ;\n",
+      "Epoch 180/1000, Cost: 3.8369\n",
+      " and the parameters are [-1.9615554   2.78156642] -3.4729692871521305 ;\n",
+      "Epoch 180/1000, Cost: 4.1668\n",
+      " and the parameters are [-1.96152944  2.78155418] -3.4730613638828096 ;\n",
+      "Epoch 180/1000, Cost: 4.7199\n",
+      " and the parameters are [-1.96157135  2.78164996] -3.473028407481876 ;\n",
+      "Epoch 180/1000, Cost: 3.4966\n",
+      " and the parameters are [-1.96163516  2.7817013 ] -3.473026812455877 ;\n",
+      "Epoch 180/1000, Cost: 5.5065\n",
+      " and the parameters are [-1.96165076  2.78155116] -3.473192156890852 ;\n",
+      "Epoch 180/1000, Cost: 3.2231\n",
+      " and the parameters are [-1.96165086  2.78156961] -3.4732421534290876 ;\n",
+      "Epoch 180/1000, Cost: 6.8062\n",
+      " and the parameters are [-1.96168858  2.78151692] -3.473322925395064 ;\n",
+      "Epoch 180/1000, Cost: 2.5853\n",
+      " and the parameters are [-1.96165466  2.78164504] -3.4733150668686688 ;\n",
+      "Epoch 180/1000, Cost: 4.6171\n",
+      " and the parameters are [-1.96162941  2.78171545] -3.4733423164288153 ;\n",
+      "Epoch 180/1000, Cost: 3.3924\n",
+      " and the parameters are [-1.96164153  2.78179552] -3.47334884580136 ;\n",
+      "Epoch 180/1000, Cost: 6.6186\n",
+      " and the parameters are [-1.96166557  2.78182023] -3.4733861291568586 ;\n",
+      "Epoch 180/1000, Cost: 3.7605\n",
+      " and the parameters are [-1.96167879  2.78193666] -3.4733728857022306 ;\n",
+      "Epoch 180/1000, Cost: 3.8639\n",
+      " and the parameters are [-1.96173427  2.78194028] -3.4733958493199677 ;\n",
+      "Epoch 180/1000, Cost: 4.5598\n",
+      " and the parameters are [-1.96182182  2.78186671] -3.4734743687371616 ;\n",
+      "Epoch 180/1000, Cost: 3.9451\n",
+      " and the parameters are [-1.96177486  2.78197674] -3.473493710649728 ;\n",
+      "Epoch 180/1000, Cost: 3.1255\n",
+      " and the parameters are [-1.96177946  2.78208847] -3.473467868234203 ;\n",
+      "Epoch 180/1000, Cost: 5.6983\n",
+      " and the parameters are [-1.96180301  2.78206233] -3.473553361424327 ;\n",
+      "Epoch 180/1000, Cost: 5.2477\n",
+      " and the parameters are [-1.96182374  2.78199617] -3.473659151799009 ;\n",
+      "Epoch 180/1000, Cost: 3.0717\n",
+      " and the parameters are [-1.96182935  2.78198185] -3.473718125390599 ;\n",
+      "Epoch 180/1000, Cost: 2.5467\n",
+      " and the parameters are [-1.96183407  2.7820716 ] -3.473713385573075 ;\n",
+      "Epoch 180/1000, Cost: 4.9920\n",
+      " and the parameters are [-1.96192068  2.78200224] -3.473778017160345 ;\n",
+      "Epoch 180/1000, Cost: 3.0087\n",
+      " and the parameters are [-1.96191553  2.78207651] -3.4738019820475103 ;\n",
+      "Epoch 180/1000, Cost: 2.5476\n",
+      " and the parameters are [-1.96188215  2.78220354] -3.473796574397543 ;\n",
+      "Epoch 180/1000, Cost: 8.4071\n",
+      " and the parameters are [-1.9618416   2.78212773] -3.4739261632214484 ;\n",
+      "Epoch 180/1000, Cost: 5.7528\n",
+      " and the parameters are [-1.96193646  2.78216909] -3.4738930770543033 ;\n",
+      "Epoch 180/1000, Cost: 5.3442\n",
+      " and the parameters are [-1.96199803  2.78216951] -3.473926281926913 ;\n",
+      "Epoch 180/1000, Cost: 3.1529\n",
+      " and the parameters are [-1.96204992  2.7821658 ] -3.473985082032143 ;\n",
+      "Epoch 180/1000, Cost: 6.0045\n",
+      " and the parameters are [-1.96205039  2.78226708] -3.473969466551454 ;\n",
+      "Epoch 180/1000, Cost: 5.4365\n",
+      " and the parameters are [-1.96214371  2.78222462] -3.4740255034767062 ;\n",
+      "Epoch 180/1000, Cost: 5.0880\n",
+      " and the parameters are [-1.96223569  2.78222628] -3.4740289328482317 ;\n",
+      "Epoch 180/1000, Cost: 5.6812\n",
+      " and the parameters are [-1.96223633  2.78217661] -3.474146974028965 ;\n",
+      "Epoch 180/1000, Cost: 3.7647\n",
+      " and the parameters are [-1.96225693  2.78231138] -3.4741143152441074 ;\n",
+      "Epoch 180/1000, Cost: 4.7324\n",
+      " and the parameters are [-1.96215266  2.78242418] -3.4741538570463395 ;\n",
+      "Epoch 180/1000, Cost: 2.7956\n",
+      " and the parameters are [-1.96214065  2.78256123] -3.4741325414062847 ;\n",
+      "Epoch 180/1000, Cost: 4.4876\n",
+      " and the parameters are [-1.96208691  2.78256286] -3.474203154952522 ;\n",
+      "Epoch 180/1000, Cost: 3.7722\n",
+      " and the parameters are [-1.96210971  2.7825753 ] -3.4742660674209427 ;\n",
+      "Epoch 180/1000, Cost: 7.2721\n",
+      " and the parameters are [-1.96219451  2.78242798] -3.474384189139296 ;\n",
+      "Epoch 180/1000, Cost: 6.0330\n",
+      " and the parameters are [-1.96216365  2.78233161] -3.4745460969934543 ;\n",
+      "Epoch 180/1000, Cost: 5.4279\n",
+      " and the parameters are [-1.96214244  2.78234602] -3.474620190815483 ;\n",
+      "Epoch 180/1000, Cost: 4.2301\n",
+      " and the parameters are [-1.96226562  2.78224866] -3.4746712305403946 ;\n",
+      "Epoch 180/1000, Cost: 4.9339\n",
+      " and the parameters are [-1.96222826  2.7824645 ] -3.4745736566112884 ;\n",
+      "Epoch 180/1000, Cost: 4.3617\n",
+      " and the parameters are [-1.96221908  2.78247745] -3.474627010064682 ;\n",
+      "Epoch 180/1000, Cost: 3.4651\n",
+      " and the parameters are [-1.96217905  2.7824888 ] -3.4747085884201123 ;\n",
+      "Epoch 180/1000, Cost: 3.6331\n",
+      " and the parameters are [-1.96213939  2.7824889 ] -3.4747918926422185 ;\n",
+      "Epoch 180/1000, Cost: 2.9792\n",
+      " and the parameters are [-1.96218854  2.78252641] -3.4748120721732594 ;\n",
+      "Epoch 180/1000, Cost: 4.1244\n",
+      " and the parameters are [-1.96223019  2.7824939 ] -3.4748692190795687 ;\n",
+      "Epoch 180/1000, Cost: 2.5097\n",
+      " and the parameters are [-1.96225357  2.78252991] -3.474886018977863 ;\n",
+      "Epoch 180/1000, Cost: 5.9551\n",
+      " and the parameters are [-1.96220579  2.78264154] -3.4748809710974577 ;\n",
+      "Epoch 180/1000, Cost: 4.8605\n",
+      " and the parameters are [-1.96222662  2.78265213] -3.4749070955516412 ;\n",
+      "Epoch 180/1000, Cost: 5.6550\n",
+      " and the parameters are [-1.96237751  2.78256445] -3.474945492497422 ;\n",
+      "Epoch 180/1000, Cost: 7.1691\n",
+      " and the parameters are [-1.96244382  2.78246404] -3.4750270107354275 ;\n",
+      "Epoch 180/1000, Cost: 3.0080\n",
+      " and the parameters are [-1.96244913  2.78254589] -3.475029140191093 ;\n",
+      "Epoch 180/1000, Cost: 3.2110\n",
+      " and the parameters are [-1.96242799  2.78256714] -3.475083123477773 ;\n",
+      "Epoch 180/1000, Cost: 3.0867\n",
+      " and the parameters are [-1.96239426  2.78270713] -3.475070411883677 ;\n",
+      "Epoch 180/1000, Cost: 3.2334\n",
+      " and the parameters are [-1.96246698  2.78269682] -3.475107713621878 ;\n",
+      "Epoch 180/1000, Cost: 2.5063\n",
+      " and the parameters are [-1.9624642   2.78273527] -3.475142033232113 ;\n",
+      "Epoch 180/1000, Cost: 4.4578\n",
+      " and the parameters are [-1.96249366  2.78280239] -3.475154379323019 ;\n",
+      "Epoch 180/1000, Cost: 4.0445\n",
+      " and the parameters are [-1.96255518  2.78288635] -3.475125793370089 ;\n",
+      "Epoch 180/1000, Cost: 4.2529\n",
+      " and the parameters are [-1.96257471  2.78299182] -3.4751046905762006 ;\n",
+      "Epoch 180/1000, Cost: 5.7776\n",
+      " and the parameters are [-1.96258939  2.7829956 ] -3.47514576404941 ;\n",
+      "Epoch 180/1000, Cost: 5.0230\n",
+      " and the parameters are [-1.96262987  2.78289011] -3.475269664322096 ;\n",
+      "Epoch 180/1000, Cost: 5.9387\n",
+      " and the parameters are [-1.96266262  2.78290479] -3.4753072452831515 ;\n",
+      "Epoch 180/1000, Cost: 3.0554\n",
+      " and the parameters are [-1.96268842  2.78294314] -3.4753378192053224 ;\n",
+      "Epoch 180/1000, Cost: 8.6059\n",
+      " and the parameters are [-1.96281387  2.78289026] -3.475329504866942 ;\n",
+      "Epoch 180/1000, Cost: 4.9810\n",
+      " and the parameters are [-1.96288213  2.78288008] -3.475372240084934 ;\n",
+      "Epoch 180/1000, Cost: 2.2347\n",
+      " and the parameters are [-1.96288929  2.78292398] -3.475398145968952 ;\n",
+      "Epoch 180/1000, Cost: 3.4687\n",
+      " and the parameters are [-1.96282116  2.78297247] -3.4754671691570205 ;\n",
+      "Epoch 180/1000, Cost: 5.4293\n",
+      " and the parameters are [-1.96298575  2.78290631] -3.4754835879428985 ;\n",
+      "Epoch 180/1000, Cost: 4.7383\n",
+      " and the parameters are [-1.96310574  2.78287301] -3.4755059589036112 ;\n",
+      "Epoch 180/1000, Cost: 3.4664\n",
+      " and the parameters are [-1.96319693  2.78291458] -3.475503616896898 ;\n",
+      "Epoch 180/1000, Cost: 2.5044\n",
+      " and the parameters are [-1.96317976  2.7830159 ] -3.4754990323493558 ;\n",
+      "Epoch 180/1000, Cost: 3.4531\n",
+      " and the parameters are [-1.96321171  2.78306573] -3.4755246998601312 ;\n",
+      "Epoch 180/1000, Cost: 4.9407\n",
+      " and the parameters are [-1.96325203  2.78313548] -3.4755074084499933 ;\n",
+      "Epoch 180/1000, Cost: 3.1778\n",
+      " and the parameters are [-1.96322948  2.78322882] -3.4754973460589427 ;\n",
+      "Epoch 180/1000, Cost: 2.8586\n",
+      " and the parameters are [-1.96325696  2.78326036] -3.475507652723631 ;\n",
+      "Epoch 180/1000, Cost: 7.1691\n",
+      " and the parameters are [-1.96341842  2.78293709] -3.475724340661843 ;\n",
+      "Epoch 180/1000, Cost: 3.1626\n",
+      " and the parameters are [-1.96346779  2.78298656] -3.4757387445478987 ;\n",
+      "Epoch 180/1000, Cost: 5.7639\n",
+      " and the parameters are [-1.96353066  2.78292536] -3.4758430279219352 ;\n",
+      "Epoch 180/1000, Cost: 4.9381\n",
+      " and the parameters are [-1.96355738  2.78293655] -3.475885206829085 ;\n",
+      "Epoch 180/1000, Cost: 3.1663\n",
+      " and the parameters are [-1.9635976   2.78302254] -3.4758699756075098 ;\n",
+      "Epoch 180/1000, Cost: 3.8678\n",
+      " and the parameters are [-1.96362203  2.78316537] -3.475838922359026 ;\n",
+      "Epoch 180/1000, Cost: 2.8703\n",
+      " and the parameters are [-1.96364336  2.78316273] -3.4758792170408017 ;\n",
+      "Epoch 180/1000, Cost: 3.2292\n",
+      " and the parameters are [-1.96365656  2.78330923] -3.4758320614903804 ;\n",
+      "Epoch 180/1000, Cost: 4.3933\n",
+      " and the parameters are [-1.96360547  2.78335436] -3.475898298144893 ;\n",
+      "Epoch 180/1000, Cost: 4.0793\n",
+      " and the parameters are [-1.96371054  2.78333538] -3.475920925539529 ;\n",
+      "Epoch 180/1000, Cost: 3.5520\n",
+      " and the parameters are [-1.96370018  2.78338828] -3.4759574977514216 ;\n",
+      "Epoch 180/1000, Cost: 3.4932\n",
+      " and the parameters are [-1.96371043  2.78343833] -3.475980983842354 ;\n",
+      "Epoch 180/1000, Cost: 3.5713\n",
+      " and the parameters are [-1.96374128  2.78343461] -3.4760410817395524 ;\n",
+      "Epoch 180/1000, Cost: 4.8848\n",
+      " and the parameters are [-1.96380745  2.78333766] -3.4761478324988584 ;\n",
+      "Epoch 180/1000, Cost: 3.5879\n",
+      " and the parameters are [-1.96378249  2.78339787] -3.476187434337332 ;\n",
+      "Epoch 180/1000, Cost: 5.7905\n",
+      " and the parameters are [-1.96377426  2.78330572] -3.476313218290314 ;\n",
+      "Epoch 180/1000, Cost: 2.5978\n",
+      " and the parameters are [-1.96376686  2.78339826] -3.4763127456330083 ;\n",
+      "Epoch 180/1000, Cost: 4.4210\n",
+      " and the parameters are [-1.96380138  2.78342995] -3.4763277248489737 ;\n",
+      "Epoch 180/1000, Cost: 3.2364\n",
+      " and the parameters are [-1.96385351  2.78348011] -3.4763309804858733 ;\n",
+      "Epoch 180/1000, Cost: 2.6305\n",
+      " and the parameters are [-1.96386775  2.78351031] -3.4763663706893624 ;\n",
+      "Epoch 180/1000, Cost: 5.0582\n",
+      " and the parameters are [-1.96391833  2.78346307] -3.476439658203545 ;\n",
+      "Epoch 180/1000, Cost: 4.1979\n",
+      " and the parameters are [-1.96401727  2.78337904] -3.476521115512092 ;\n",
+      "Epoch 180/1000, Cost: 5.7630\n",
+      " and the parameters are [-1.96419986  2.78330539] -3.4765606230300423 ;\n",
+      "Epoch 180/1000, Cost: 4.1600\n",
+      " and the parameters are [-1.96424225  2.78331143] -3.476586721889988 ;\n",
+      "Epoch 180/1000, Cost: 5.4766\n",
+      " and the parameters are [-1.9642412   2.78331263] -3.4766477674253404 ;\n",
+      "Epoch 180/1000, Cost: 1.9156\n",
+      " and the parameters are [-1.96427483  2.78338801] -3.476632466685657 ;\n",
+      "Epoch 180/1000, Cost: 4.1520\n",
+      " and the parameters are [-1.96434055  2.78351376] -3.476575509380144 ;\n",
+      "Epoch 180/1000, Cost: 4.0331\n",
+      " and the parameters are [-1.96439191  2.78354426] -3.4765954888622006 ;\n",
+      "Epoch 180/1000, Cost: 4.8243\n",
+      " and the parameters are [-1.96441085  2.78365593] -3.476573033751533 ;\n",
+      "Epoch 180/1000, Cost: 7.4146\n",
+      " and the parameters are [-1.96442688  2.78369821] -3.4765787788081397 ;\n",
+      "Epoch 180/1000, Cost: 7.7120\n",
+      " and the parameters are [-1.96437603  2.7836817 ] -3.476665103611212 ;\n",
+      "Epoch 180/1000, Cost: 3.3772\n",
+      " and the parameters are [-1.96439981  2.7836403 ] -3.4767303236601923 ;\n",
+      "Epoch 180/1000, Cost: 3.1188\n",
+      " and the parameters are [-1.9643926   2.78380035] -3.4766733763764064 ;\n",
+      "Epoch 180/1000, Cost: 5.8593\n",
+      " and the parameters are [-1.9643405   2.78385316] -3.47670473536213 ;\n",
+      "Epoch 180/1000, Cost: 6.0848\n",
+      " and the parameters are [-1.96433402  2.78397088] -3.4766569454544043 ;\n",
+      "Epoch 180/1000, Cost: 2.7610\n",
+      " and the parameters are [-1.96438818  2.78400545] -3.476684700906824 ;\n",
+      "Epoch 180/1000, Cost: 2.0394\n",
+      " and the parameters are [-1.96439571  2.78405137] -3.476705981250529 ;\n",
+      "Epoch 180/1000, Cost: 4.6424\n",
+      " and the parameters are [-1.96443728  2.78419343] -3.4766466652497074 ;\n",
+      "Epoch 180/1000, Cost: 3.6411\n",
+      " and the parameters are [-1.96445338  2.78429764] -3.476646016676376 ;\n",
+      "Epoch 180/1000, Cost: 4.2435\n",
+      " and the parameters are [-1.96441117  2.78433725] -3.476719825536776 ;\n",
+      "Epoch 180/1000, Cost: 4.6018\n",
+      " and the parameters are [-1.96438785  2.78444196] -3.4767306151549073 ;\n",
+      "Epoch 180/1000, Cost: 5.5462\n",
+      " and the parameters are [-1.96440743  2.78443183] -3.4767773550794137 ;\n",
+      "Epoch 180/1000, Cost: 7.5065\n",
+      " and the parameters are [-1.96437229  2.78438089] -3.476885927245012 ;\n",
+      "Epoch 180/1000, Cost: 5.1693\n",
+      " and the parameters are [-1.96446135  2.78431159] -3.4769766641420574 ;\n",
+      "Epoch 180/1000, Cost: 4.2319\n",
+      " and the parameters are [-1.96449994  2.78431387] -3.4770187951899967 ;\n",
+      "Epoch 180/1000, Cost: 4.2102\n",
+      " and the parameters are [-1.96449882  2.78430754] -3.4770738774741616 ;\n",
+      "Epoch 180/1000, Cost: 3.6163\n",
+      " and the parameters are [-1.96455328  2.78430524] -3.4771133771204004 ;\n",
+      "Epoch 180/1000, Cost: 6.0091\n",
+      " and the parameters are [-1.96450123  2.78440631] -3.4770796500439154 ;\n",
+      "Epoch 180/1000, Cost: 6.6580\n",
+      " and the parameters are [-1.96441053  2.78449587] -3.477135909435704 ;\n",
+      "Epoch 180/1000, Cost: 5.1648\n",
+      " and the parameters are [-1.9643798   2.78443465] -3.4772710366684016 ;\n",
+      "Epoch 180/1000, Cost: 5.4032\n",
+      " and the parameters are [-1.96434132  2.78458952] -3.477244635871283 ;\n",
+      "Epoch 180/1000, Cost: 5.2779\n",
+      " and the parameters are [-1.96430557  2.78463289] -3.477286309956853 ;\n",
+      "Epoch 180/1000, Cost: 3.4180\n",
+      " and the parameters are [-1.96437103  2.78453409] -3.4773835805002977 ;\n",
+      "Epoch 180/1000, Cost: 8.1513\n",
+      " and the parameters are [-1.9643223   2.78448293] -3.477481923157158 ;\n",
+      "Epoch 180/1000, Cost: 3.3197\n",
+      " and the parameters are [-1.96431744  2.78458274] -3.4774902283134534 ;\n",
+      "Epoch 180/1000, Cost: 4.5862\n",
+      " and the parameters are [-1.9643836   2.78449657] -3.4775972971900018 ;\n",
+      "Epoch 180/1000, Cost: 2.8346\n",
+      " and the parameters are [-1.96436829  2.78451407] -3.4776560845390927 ;\n",
+      "Epoch 180/1000, Cost: 4.1317\n",
+      " and the parameters are [-1.96434407  2.78470476] -3.47759606677379 ;\n",
+      "Epoch 180/1000, Cost: 8.2839\n",
+      " and the parameters are [-1.9642991   2.78482304] -3.4775716200444413 ;\n",
+      "Epoch 180/1000, Cost: 5.5875\n",
+      " and the parameters are [-1.96433408  2.78474231] -3.477673490248933 ;\n",
+      "Epoch 180/1000, Cost: 4.3937\n",
+      " and the parameters are [-1.96438256  2.7848219 ] -3.4776437227119703 ;\n",
+      "Epoch 180/1000, Cost: 2.2414\n",
+      " and the parameters are [-1.9643371   2.78494056] -3.4776427077699172 ;\n",
+      "Epoch 180/1000, Cost: 2.8481\n",
+      " and the parameters are [-1.96436103  2.78501192] -3.4776392747083937 ;\n",
+      "Epoch 180/1000, Cost: 3.7721\n",
+      " and the parameters are [-1.96434048  2.78506101] -3.4776824400767916 ;\n",
+      "Epoch 180/1000, Cost: 4.8397\n",
+      " and the parameters are [-1.96439129  2.78503059] -3.4777490038229564 ;\n",
+      "Epoch 180/1000, Cost: 3.3263\n",
+      " and the parameters are [-1.96439289  2.78509431] -3.477779447652746 ;\n",
+      "Epoch 180/1000, Cost: 5.9675\n",
+      " and the parameters are [-1.96438175  2.78515567] -3.4778089231745564 ;\n",
+      "Epoch 180/1000, Cost: 3.2508\n",
+      " and the parameters are [-1.96440887  2.78512383] -3.47789110628859 ;\n",
+      "Epoch 180/1000, Cost: 6.6698\n",
+      " and the parameters are [-1.96429184  2.7851662 ] -3.477970480598686 ;\n",
+      "Epoch 180/1000, Cost: 4.2974\n",
+      " and the parameters are [-1.96427503  2.78516016] -3.478044730472413 ;\n",
+      "Epoch 180/1000, Cost: 5.0734\n",
+      " and the parameters are [-1.96428432  2.78513941] -3.4781340641386285 ;\n",
+      "Epoch 180/1000, Cost: 3.3792\n",
+      " and the parameters are [-1.96430639  2.7851605 ] -3.4781622830646217 ;\n",
+      "Epoch 180/1000, Cost: 3.8800\n",
+      " and the parameters are [-1.96426068  2.78531045] -3.47814134397307 ;\n",
+      "Epoch 180/1000, Cost: 4.8525\n",
+      " and the parameters are [-1.96427029  2.78532353] -3.4782275306918202 ;\n",
+      "Epoch 180/1000, Cost: 9.0567\n",
+      " and the parameters are [-1.96434832  2.78523462] -3.4782673502949693 ;\n",
+      "Epoch 180/1000, Cost: 2.7570\n",
+      " and the parameters are [-1.9643888   2.78528655] -3.4782771928601464 ;\n",
+      "Epoch 180/1000, Cost: 4.2742\n",
+      " and the parameters are [-1.96441576  2.78532615] -3.478303485982667 ;\n",
+      "Epoch 180/1000, Cost: 6.6667\n",
+      " and the parameters are [-1.96440632  2.78537394] -3.4783428365550115 ;\n",
+      "Epoch 180/1000, Cost: 2.5354\n",
+      " and the parameters are [-1.96441691  2.78545144] -3.478337295208764 ;\n",
+      "Epoch 180/1000, Cost: 3.5365\n",
+      " and the parameters are [-1.96441818  2.78551885] -3.4783594999442107 ;\n",
+      "Epoch 180/1000, Cost: 5.5531\n",
+      " and the parameters are [-1.96445432  2.78541477] -3.47845860374738 ;\n",
+      "Epoch 180/1000, Cost: 2.9122\n",
+      " and the parameters are [-1.96444455  2.78558831] -3.478406692013649 ;\n",
+      "Epoch 180/1000, Cost: 3.0852\n",
+      " and the parameters are [-1.96441975  2.78567603] -3.4784190154234573 ;\n",
+      "Epoch 180/1000, Cost: 4.7267\n",
+      " and the parameters are [-1.96446267  2.78577961] -3.478396147128998 ;\n",
+      "Epoch 180/1000, Cost: 5.4711\n",
+      " and the parameters are [-1.96450966  2.78585493] -3.478393305792719 ;\n",
+      "Epoch 180/1000, Cost: 4.6030\n",
+      " and the parameters are [-1.96451126  2.78589044] -3.4784401551863553 ;\n",
+      "Epoch 180/1000, Cost: 5.4040\n",
+      " and the parameters are [-1.96446903  2.78596203] -3.4784452484287938 ;\n",
+      "Epoch 180/1000, Cost: 5.1990\n",
+      " and the parameters are [-1.96442712  2.7860381 ] -3.478486266257331 ;\n",
+      "Epoch 180/1000, Cost: 4.6852\n",
+      " and the parameters are [-1.96436706  2.7862074 ] -3.4784622649159895 ;\n",
+      "Epoch 180/1000, Cost: 4.1755\n",
+      " and the parameters are [-1.96438883  2.78621146] -3.4785224932662513 ;\n",
+      "Epoch 180/1000, Cost: 6.4470\n",
+      " and the parameters are [-1.96441874  2.78620656] -3.4785515987504656 ;\n",
+      "Epoch 180/1000, Cost: 4.1112\n",
+      " and the parameters are [-1.96441336  2.78627358] -3.4785652032464074 ;\n",
+      "Epoch 180/1000, Cost: 4.1490\n",
+      " and the parameters are [-1.96440838  2.78622025] -3.4786568613969098 ;\n",
+      "Epoch 180/1000, Cost: 4.0067\n",
+      " and the parameters are [-1.96442872  2.78627265] -3.478685393879702 ;\n",
+      "Epoch 180/1000, Cost: 5.5517\n",
+      " and the parameters are [-1.96455476  2.78618733] -3.478744246225562 ;\n",
+      "Epoch 180/1000, Cost: 4.7799\n",
+      " and the parameters are [-1.96459112  2.78617877] -3.478770558732262 ;\n",
+      "Epoch 180/1000, Cost: 3.1334\n",
+      " and the parameters are [-1.96461609  2.78622193] -3.478799280490507 ;\n",
+      "Epoch 180/1000, Cost: 5.5884\n",
+      " and the parameters are [-1.96469934  2.78612152] -3.478882242970864 ;\n",
+      "Epoch 180/1000, Cost: 3.7305\n",
+      " and the parameters are [-1.96474264  2.78626558] -3.4788191947255953 ;\n",
+      "Epoch 180/1000, Cost: 3.8648\n",
+      " and the parameters are [-1.96478852  2.78627475] -3.478867036551664 ;\n",
+      "Epoch 180/1000, Cost: 3.4568\n",
+      " and the parameters are [-1.96485004  2.78625503] -3.4789284690649103 ;\n",
+      "Epoch 180/1000, Cost: 3.5172\n",
+      " and the parameters are [-1.96485138  2.78634035] -3.4789171911329557 ;\n",
+      "Epoch 180/1000, Cost: 4.5489\n",
+      " and the parameters are [-1.9648669   2.78641413] -3.4789268980130994 ;\n",
+      "Epoch 190/1000, Cost: 4.3735\n",
+      " and the parameters are [-2.00026534  2.82881552] -3.54185785194027 ;\n",
+      "Epoch 190/1000, Cost: 6.6881\n",
+      " and the parameters are [-2.00020644  2.82890632] -3.541860590683913 ;\n",
+      "Epoch 190/1000, Cost: 3.9430\n",
+      " and the parameters are [-2.0001792   2.82893536] -3.5419080634626985 ;\n",
+      "Epoch 190/1000, Cost: 4.5922\n",
+      " and the parameters are [-2.00024054  2.82888477] -3.5419829705788644 ;\n",
+      "Epoch 190/1000, Cost: 6.1348\n",
+      " and the parameters are [-2.00022878  2.82900745] -3.5419224325325516 ;\n",
+      "Epoch 190/1000, Cost: 3.5027\n",
+      " and the parameters are [-2.00024223  2.82900966] -3.541988946116005 ;\n",
+      "Epoch 190/1000, Cost: 3.6683\n",
+      " and the parameters are [-2.00030539  2.8290244 ] -3.542015365924644 ;\n",
+      "Epoch 190/1000, Cost: 4.5309\n",
+      " and the parameters are [-2.00031527  2.82904134] -3.5420795781276477 ;\n",
+      "Epoch 190/1000, Cost: 5.3448\n",
+      " and the parameters are [-2.00032672  2.82905989] -3.542138736701336 ;\n",
+      "Epoch 190/1000, Cost: 6.1242\n",
+      " and the parameters are [-2.00040642  2.82902107] -3.5421903565936166 ;\n",
+      "Epoch 190/1000, Cost: 3.2077\n",
+      " and the parameters are [-2.00052493  2.82898699] -3.542219009837176 ;\n",
+      "Epoch 190/1000, Cost: 6.1818\n",
+      " and the parameters are [-2.00050789  2.82901084] -3.542295214740976 ;\n",
+      "Epoch 190/1000, Cost: 3.6346\n",
+      " and the parameters are [-2.00058978  2.82906508] -3.542286963917057 ;\n",
+      "Epoch 190/1000, Cost: 3.0283\n",
+      " and the parameters are [-2.00057979  2.82913245] -3.5423088218303183 ;\n",
+      "Epoch 190/1000, Cost: 5.6402\n",
+      " and the parameters are [-2.00057668  2.82921977] -3.542269288007164 ;\n",
+      "Epoch 190/1000, Cost: 3.0548\n",
+      " and the parameters are [-2.00061898  2.82921824] -3.542308388249242 ;\n",
+      "Epoch 190/1000, Cost: 6.1189\n",
+      " and the parameters are [-2.00056916  2.82915877] -3.5424262935522925 ;\n",
+      "Epoch 190/1000, Cost: 3.9619\n",
+      " and the parameters are [-2.00052628  2.82921503] -3.542479298556476 ;\n",
+      "Epoch 190/1000, Cost: 3.1502\n",
+      " and the parameters are [-2.00058186  2.82916793] -3.5425361760250897 ;\n",
+      "Epoch 190/1000, Cost: 4.8870\n",
+      " and the parameters are [-2.0007291   2.82919456] -3.542485021724928 ;\n",
+      "Epoch 190/1000, Cost: 2.7715\n",
+      " and the parameters are [-2.00074601  2.82925898] -3.542503473134652 ;\n",
+      "Epoch 190/1000, Cost: 4.1466\n",
+      " and the parameters are [-2.00071654  2.82925669] -3.5425983844866673 ;\n",
+      "Epoch 190/1000, Cost: 4.6434\n",
+      " and the parameters are [-2.00071156  2.82932232] -3.542619788461915 ;\n",
+      "Epoch 190/1000, Cost: 4.4224\n",
+      " and the parameters are [-2.00073394  2.82938716] -3.542617633811037 ;\n",
+      "Epoch 190/1000, Cost: 3.9841\n",
+      " and the parameters are [-2.00068077  2.82941881] -3.542666557295815 ;\n",
+      "Epoch 190/1000, Cost: 3.6122\n",
+      " and the parameters are [-2.0007246   2.82944893] -3.542684634453959 ;\n",
+      "Epoch 190/1000, Cost: 6.1257\n",
+      " and the parameters are [-2.00073652  2.82940816] -3.5427626895024193 ;\n",
+      "Epoch 190/1000, Cost: 2.5156\n",
+      " and the parameters are [-2.00074134  2.82941196] -3.5428186280491496 ;\n",
+      "Epoch 190/1000, Cost: 5.8686\n",
+      " and the parameters are [-2.00065098  2.82955699] -3.542782273036451 ;\n",
+      "Epoch 190/1000, Cost: 2.6855\n",
+      " and the parameters are [-2.00068044  2.82953789] -3.5428451055203034 ;\n",
+      "Epoch 190/1000, Cost: 6.4431\n",
+      " and the parameters are [-2.00072418  2.82952575] -3.5429016785236773 ;\n",
+      "Epoch 190/1000, Cost: 4.5657\n",
+      " and the parameters are [-2.00077834  2.82943431] -3.5429978519158896 ;\n",
+      "Epoch 190/1000, Cost: 3.5139\n",
+      " and the parameters are [-2.00080652  2.82945487] -3.54304558550464 ;\n",
+      "Epoch 190/1000, Cost: 3.8320\n",
+      " and the parameters are [-2.00076252  2.82956524] -3.5430382675394636 ;\n",
+      "Epoch 190/1000, Cost: 2.9419\n",
+      " and the parameters are [-2.00078593  2.82957502] -3.543067728727666 ;\n",
+      "Epoch 190/1000, Cost: 5.5350\n",
+      " and the parameters are [-2.00088358  2.82960008] -3.543068374324815 ;\n",
+      "Epoch 190/1000, Cost: 3.9047\n",
+      " and the parameters are [-2.00091559  2.82958951] -3.543127871209597 ;\n",
+      "Epoch 190/1000, Cost: 3.5612\n",
+      " and the parameters are [-2.00098403  2.82953696] -3.543194519765131 ;\n",
+      "Epoch 190/1000, Cost: 4.8060\n",
+      " and the parameters are [-2.00101339  2.82956387] -3.5432232408530067 ;\n",
+      "Epoch 190/1000, Cost: 5.1715\n",
+      " and the parameters are [-2.00103045  2.8295136 ] -3.5433197669871435 ;\n",
+      "Epoch 190/1000, Cost: 5.6173\n",
+      " and the parameters are [-2.00101029  2.82964551] -3.543255777081089 ;\n",
+      "Epoch 190/1000, Cost: 4.3083\n",
+      " and the parameters are [-2.00102476  2.82977398] -3.5432202060661253 ;\n",
+      "Epoch 190/1000, Cost: 2.8577\n",
+      " and the parameters are [-2.00105406  2.82985656] -3.5432125644173533 ;\n",
+      "Epoch 190/1000, Cost: 2.4514\n",
+      " and the parameters are [-2.00108994  2.82989453] -3.5432294882595583 ;\n",
+      "Epoch 190/1000, Cost: 3.4855\n",
+      " and the parameters are [-2.0011554   2.82989405] -3.543276176061905 ;\n",
+      "Epoch 190/1000, Cost: 4.9142\n",
+      " and the parameters are [-2.00113674  2.82991814] -3.5433380044146388 ;\n",
+      "Epoch 190/1000, Cost: 2.3809\n",
+      " and the parameters are [-2.00113434  2.82994486] -3.5433768654326654 ;\n",
+      "Epoch 190/1000, Cost: 2.7726\n",
+      " and the parameters are [-2.00118715  2.82999352] -3.5433652205191817 ;\n",
+      "Epoch 190/1000, Cost: 4.5617\n",
+      " and the parameters are [-2.00122075  2.82992676] -3.5434809243976164 ;\n",
+      "Epoch 190/1000, Cost: 2.6699\n",
+      " and the parameters are [-2.00118409  2.82996317] -3.5435265888794434 ;\n",
+      "Epoch 190/1000, Cost: 6.5711\n",
+      " and the parameters are [-2.00122664  2.82995415] -3.543577374991426 ;\n",
+      "Epoch 190/1000, Cost: 5.9838\n",
+      " and the parameters are [-2.00114674  2.82998843] -3.5436377787608846 ;\n",
+      "Epoch 190/1000, Cost: 3.4854\n",
+      " and the parameters are [-2.00121288  2.83002955] -3.5436197934988 ;\n",
+      "Epoch 190/1000, Cost: 8.0818\n",
+      " and the parameters are [-2.0012939   2.82995368] -3.5436384746166025 ;\n",
+      "Epoch 190/1000, Cost: 2.9979\n",
+      " and the parameters are [-2.00128951  2.82995523] -3.5437108792586955 ;\n",
+      "Epoch 190/1000, Cost: 7.3053\n",
+      " and the parameters are [-2.00128159  2.83005977] -3.5436930313876793 ;\n",
+      "Epoch 190/1000, Cost: 4.1784\n",
+      " and the parameters are [-2.00137813  2.8300759 ] -3.543706134211762 ;\n",
+      "Epoch 190/1000, Cost: 4.4307\n",
+      " and the parameters are [-2.00136681  2.83022483] -3.543654432078891 ;\n",
+      "Epoch 190/1000, Cost: 4.3322\n",
+      " and the parameters are [-2.00141918  2.83012172] -3.5437617126460075 ;\n",
+      "Epoch 190/1000, Cost: 2.5755\n",
+      " and the parameters are [-2.00148128  2.83009411] -3.543789332893556 ;\n",
+      "Epoch 190/1000, Cost: 3.9258\n",
+      " and the parameters are [-2.00146154  2.83006481] -3.543880348777818 ;\n",
+      "Epoch 190/1000, Cost: 4.0420\n",
+      " and the parameters are [-2.00155092  2.83004385] -3.543901595877187 ;\n",
+      "Epoch 190/1000, Cost: 4.8170\n",
+      " and the parameters are [-2.00152215  2.82997937] -3.5440217785573167 ;\n",
+      "Epoch 190/1000, Cost: 3.3006\n",
+      " and the parameters are [-2.00158097  2.82992445] -3.544093774563678 ;\n",
+      "Epoch 190/1000, Cost: 4.2898\n",
+      " and the parameters are [-2.00159337  2.82993672] -3.5441584101604495 ;\n",
+      "Epoch 190/1000, Cost: 4.5367\n",
+      " and the parameters are [-2.00169765  2.82989961] -3.5442109782532287 ;\n",
+      "Epoch 190/1000, Cost: 3.9102\n",
+      " and the parameters are [-2.00163004  2.83002697] -3.5442160361401847 ;\n",
+      "Epoch 190/1000, Cost: 5.1270\n",
+      " and the parameters are [-2.00162362  2.83026188] -3.5440943539919227 ;\n",
+      "Epoch 190/1000, Cost: 5.0588\n",
+      " and the parameters are [-2.00168033  2.83018046] -3.5441793029748 ;\n",
+      "Epoch 190/1000, Cost: 4.0879\n",
+      " and the parameters are [-2.001726    2.83023286] -3.544176984538286 ;\n",
+      "Epoch 190/1000, Cost: 6.4597\n",
+      " and the parameters are [-2.00181347  2.83015577] -3.544234902182854 ;\n",
+      "Epoch 190/1000, Cost: 4.5634\n",
+      " and the parameters are [-2.00183497  2.83022564] -3.5442317823748395 ;\n",
+      "Epoch 190/1000, Cost: 2.9865\n",
+      " and the parameters are [-2.00179396  2.83030724] -3.5442653323862716 ;\n",
+      "Epoch 190/1000, Cost: 2.5146\n",
+      " and the parameters are [-2.00185012  2.83031656] -3.5442993498251196 ;\n",
+      "Epoch 190/1000, Cost: 8.6625\n",
+      " and the parameters are [-2.00171768  2.83035828] -3.5443732986380647 ;\n",
+      "Epoch 190/1000, Cost: 2.2981\n",
+      " and the parameters are [-2.0017992   2.83041138] -3.544346364605404 ;\n",
+      "Epoch 190/1000, Cost: 5.2284\n",
+      " and the parameters are [-2.00180422  2.83037791] -3.5444440206374312 ;\n",
+      "Epoch 190/1000, Cost: 4.9852\n",
+      " and the parameters are [-2.00180778  2.8304168 ] -3.5444637676179838 ;\n",
+      "Epoch 190/1000, Cost: 3.2544\n",
+      " and the parameters are [-2.00183888  2.83042027] -3.544514583388899 ;\n",
+      "Epoch 190/1000, Cost: 4.1890\n",
+      " and the parameters are [-2.00187323  2.83045437] -3.544498214224435 ;\n",
+      "Epoch 190/1000, Cost: 5.9698\n",
+      " and the parameters are [-2.00192544  2.83040144] -3.5445318374415766 ;\n",
+      "Epoch 190/1000, Cost: 1.9290\n",
+      " and the parameters are [-2.00191512  2.83048491] -3.5445367487535258 ;\n",
+      "Epoch 190/1000, Cost: 2.8175\n",
+      " and the parameters are [-2.0019058   2.83049914] -3.544600490154926 ;\n",
+      "Epoch 190/1000, Cost: 2.9212\n",
+      " and the parameters are [-2.00185362  2.83061643] -3.544609996713132 ;\n",
+      "Epoch 190/1000, Cost: 6.6868\n",
+      " and the parameters are [-2.00185542  2.83069115] -3.544583342025252 ;\n",
+      "Epoch 190/1000, Cost: 3.7707\n",
+      " and the parameters are [-2.00188805  2.83079848] -3.544543143328411 ;\n",
+      "Epoch 190/1000, Cost: 4.9159\n",
+      " and the parameters are [-2.0018763  2.8307877] -3.5446270500070383 ;\n",
+      "Epoch 190/1000, Cost: 5.3115\n",
+      " and the parameters are [-2.00184774  2.83081273] -3.544709740044031 ;\n",
+      "Epoch 190/1000, Cost: 4.0043\n",
+      " and the parameters are [-2.001868    2.83092244] -3.5446948653802117 ;\n",
+      "Epoch 190/1000, Cost: 4.7858\n",
+      " and the parameters are [-2.0019179   2.83092166] -3.5447410544174436 ;\n",
+      "Epoch 190/1000, Cost: 3.5798\n",
+      " and the parameters are [-2.00194473  2.83106904] -3.5446913953797012 ;\n",
+      "Epoch 190/1000, Cost: 4.3896\n",
+      " and the parameters are [-2.00196283  2.83107767] -3.544707120973401 ;\n",
+      "Epoch 190/1000, Cost: 4.2031\n",
+      " and the parameters are [-2.00198639  2.83112422] -3.544725978137114 ;\n",
+      "Epoch 190/1000, Cost: 3.8431\n",
+      " and the parameters are [-2.00201334  2.83123552] -3.5446999899140486 ;\n",
+      "Epoch 190/1000, Cost: 5.1756\n",
+      " and the parameters are [-2.00199025  2.83143983] -3.5446029959832575 ;\n",
+      "Epoch 190/1000, Cost: 4.9149\n",
+      " and the parameters are [-2.00193518  2.83153096] -3.544617760463753 ;\n",
+      "Epoch 190/1000, Cost: 5.1337\n",
+      " and the parameters are [-2.00198442  2.8315569 ] -3.544646154937754 ;\n",
+      "Epoch 190/1000, Cost: 3.1657\n",
+      " and the parameters are [-2.00195523  2.83170416] -3.5446207424390233 ;\n",
+      "Epoch 190/1000, Cost: 3.8561\n",
+      " and the parameters are [-2.00199378  2.83189721] -3.5445232431222533 ;\n",
+      "Epoch 190/1000, Cost: 4.8623\n",
+      " and the parameters are [-2.00199537  2.83187818] -3.5446002863921837 ;\n",
+      "Epoch 190/1000, Cost: 3.5275\n",
+      " and the parameters are [-2.00198154  2.83192259] -3.544635197497687 ;\n",
+      "Epoch 190/1000, Cost: 4.1082\n",
+      " and the parameters are [-2.0019764   2.83198067] -3.5446631689506587 ;\n",
+      "Epoch 190/1000, Cost: 3.3128\n",
+      " and the parameters are [-2.00198159  2.83198375] -3.5447089298634116 ;\n",
+      "Epoch 190/1000, Cost: 7.9986\n",
+      " and the parameters are [-2.00199156  2.83191748] -3.5447861613428087 ;\n",
+      "Epoch 190/1000, Cost: 6.4434\n",
+      " and the parameters are [-2.00204213  2.83198807] -3.544785157003432 ;\n",
+      "Epoch 190/1000, Cost: 8.0418\n",
+      " and the parameters are [-2.00207325  2.83185335] -3.5449225363706245 ;\n",
+      "Epoch 190/1000, Cost: 6.2525\n",
+      " and the parameters are [-2.00209896  2.83183082] -3.5449679233092732 ;\n",
+      "Epoch 190/1000, Cost: 3.8471\n",
+      " and the parameters are [-2.00212612  2.83193425] -3.5449129788371203 ;\n",
+      "Epoch 190/1000, Cost: 3.0762\n",
+      " and the parameters are [-2.00215073  2.83201553] -3.544898431237316 ;\n",
+      "Epoch 190/1000, Cost: 3.5026\n",
+      " and the parameters are [-2.00217652  2.83215659] -3.5448478900546077 ;\n",
+      "Epoch 190/1000, Cost: 4.1380\n",
+      " and the parameters are [-2.00223882  2.83219689] -3.5448678652836745 ;\n",
+      "Epoch 190/1000, Cost: 3.9517\n",
+      " and the parameters are [-2.00232034  2.83214069] -3.544932624863161 ;\n",
+      "Epoch 190/1000, Cost: 5.1178\n",
+      " and the parameters are [-2.00241235  2.83214928] -3.5449199776070928 ;\n",
+      "Epoch 190/1000, Cost: 3.5482\n",
+      " and the parameters are [-2.00247042  2.83221133] -3.5449116722808065 ;\n",
+      "Epoch 190/1000, Cost: 3.0161\n",
+      " and the parameters are [-2.00245268  2.83222283] -3.544977809758392 ;\n",
+      "Epoch 190/1000, Cost: 4.1274\n",
+      " and the parameters are [-2.00249436  2.8321937 ] -3.545039777908389 ;\n",
+      "Epoch 190/1000, Cost: 4.4992\n",
+      " and the parameters are [-2.00249451  2.83226677] -3.545048938982237 ;\n",
+      "Epoch 190/1000, Cost: 3.1878\n",
+      " and the parameters are [-2.00246817  2.83235013] -3.5450732606155775 ;\n",
+      "Epoch 190/1000, Cost: 4.7207\n",
+      " and the parameters are [-2.00248072  2.83228049] -3.5451995336161017 ;\n",
+      "Epoch 190/1000, Cost: 6.9062\n",
+      " and the parameters are [-2.00254546  2.83221708] -3.5452847558147758 ;\n",
+      "Epoch 190/1000, Cost: 4.1573\n",
+      " and the parameters are [-2.00260183  2.8322873 ] -3.54526814473812 ;\n",
+      "Epoch 190/1000, Cost: 3.3198\n",
+      " and the parameters are [-2.00258419  2.83244848] -3.5452243216906885 ;\n",
+      "Epoch 190/1000, Cost: 4.0730\n",
+      " and the parameters are [-2.00258502  2.83251405] -3.545240559048329 ;\n",
+      "Epoch 190/1000, Cost: 4.5689\n",
+      " and the parameters are [-2.00265314  2.83252125] -3.5452641583375497 ;\n",
+      "Epoch 190/1000, Cost: 3.1714\n",
+      " and the parameters are [-2.00269819  2.83259959] -3.5452366946060145 ;\n",
+      "Epoch 190/1000, Cost: 4.5818\n",
+      " and the parameters are [-2.00276673  2.83277776] -3.5451346583732892 ;\n",
+      "Epoch 190/1000, Cost: 3.2779\n",
+      " and the parameters are [-2.00279398  2.8327364 ] -3.5452348212926075 ;\n",
+      "Epoch 190/1000, Cost: 3.7381\n",
+      " and the parameters are [-2.0029063   2.83270015] -3.545267181155315 ;\n",
+      "Epoch 190/1000, Cost: 4.7008\n",
+      " and the parameters are [-2.00294757  2.83265617] -3.5453418255809614 ;\n",
+      "Epoch 190/1000, Cost: 2.4617\n",
+      " and the parameters are [-2.00298486  2.83267049] -3.5453753520342066 ;\n",
+      "Epoch 190/1000, Cost: 6.7185\n",
+      " and the parameters are [-2.00296808  2.83260951] -3.5454501243260164 ;\n",
+      "Epoch 190/1000, Cost: 2.8606\n",
+      " and the parameters are [-2.00300202  2.83255108] -3.5455390728784004 ;\n",
+      "Epoch 190/1000, Cost: 4.5456\n",
+      " and the parameters are [-2.00299552  2.83254994] -3.545593490444662 ;\n",
+      "Epoch 190/1000, Cost: 3.0172\n",
+      " and the parameters are [-2.0029814   2.83259263] -3.5456297197788147 ;\n",
+      "Epoch 190/1000, Cost: 3.9331\n",
+      " and the parameters are [-2.00299712  2.83265221] -3.545646029178688 ;\n",
+      "Epoch 190/1000, Cost: 7.5290\n",
+      " and the parameters are [-2.003042    2.83251004] -3.5457857484971615 ;\n",
+      "Epoch 190/1000, Cost: 7.1999\n",
+      " and the parameters are [-2.00299358  2.83261119] -3.5457614701978413 ;\n",
+      "Epoch 190/1000, Cost: 2.6969\n",
+      " and the parameters are [-2.00298989  2.83276283] -3.5457113167958063 ;\n",
+      "Epoch 190/1000, Cost: 4.8236\n",
+      " and the parameters are [-2.00309549  2.83271743] -3.545765738646233 ;\n",
+      "Epoch 190/1000, Cost: 3.0334\n",
+      " and the parameters are [-2.00311467  2.83275467] -3.5457988848026063 ;\n",
+      "Epoch 190/1000, Cost: 6.1089\n",
+      " and the parameters are [-2.00311608  2.83270049] -3.5458916756629706 ;\n",
+      "Epoch 190/1000, Cost: 4.1056\n",
+      " and the parameters are [-2.00314633  2.8327535 ] -3.5459009075260597 ;\n",
+      "Epoch 190/1000, Cost: 5.9116\n",
+      " and the parameters are [-2.0030525  2.8329096] -3.545870561296091 ;\n",
+      "Epoch 190/1000, Cost: 5.7039\n",
+      " and the parameters are [-2.00303558  2.83287612] -3.5459997617823307 ;\n",
+      "Epoch 190/1000, Cost: 2.5236\n",
+      " and the parameters are [-2.00300262  2.83293363] -3.5460502991437686 ;\n",
+      "Epoch 190/1000, Cost: 5.5760\n",
+      " and the parameters are [-2.00301953  2.83284816] -3.5461575984245597 ;\n",
+      "Epoch 190/1000, Cost: 3.5579\n",
+      " and the parameters are [-2.00300044  2.83293466] -3.54617058005803 ;\n",
+      "Epoch 190/1000, Cost: 3.8671\n",
+      " and the parameters are [-2.00298204  2.83298754] -3.5462075504214687 ;\n",
+      "Epoch 190/1000, Cost: 5.5696\n",
+      " and the parameters are [-2.00310336  2.83277261] -3.5463686921420408 ;\n",
+      "Epoch 190/1000, Cost: 4.4191\n",
+      " and the parameters are [-2.00314035  2.83278848] -3.5464050780337075 ;\n",
+      "Epoch 190/1000, Cost: 3.6099\n",
+      " and the parameters are [-2.00312188  2.83275909] -3.546492420394262 ;\n",
+      "Epoch 190/1000, Cost: 4.6419\n",
+      " and the parameters are [-2.00311587  2.83268964] -3.5466239341111465 ;\n",
+      "Epoch 190/1000, Cost: 2.6152\n",
+      " and the parameters are [-2.00312557  2.83267727] -3.546692050145341 ;\n",
+      "Epoch 190/1000, Cost: 2.8047\n",
+      " and the parameters are [-2.00317486  2.83265559] -3.5467400734444827 ;\n",
+      "Epoch 190/1000, Cost: 2.4085\n",
+      " and the parameters are [-2.00319979  2.83275651] -3.546724585470063 ;\n",
+      "Epoch 190/1000, Cost: 4.3505\n",
+      " and the parameters are [-2.00315769  2.83284401] -3.5467503111614946 ;\n",
+      "Epoch 190/1000, Cost: 3.6527\n",
+      " and the parameters are [-2.00324324  2.83275491] -3.546852612473951 ;\n",
+      "Epoch 190/1000, Cost: 3.9924\n",
+      " and the parameters are [-2.00327178  2.83271666] -3.546946000426935 ;\n",
+      "Epoch 190/1000, Cost: 4.0700\n",
+      " and the parameters are [-2.003335    2.83273014] -3.5469740211272613 ;\n",
+      "Epoch 190/1000, Cost: 6.4719\n",
+      " and the parameters are [-2.00330143  2.83291835] -3.5469120595253965 ;\n",
+      "Epoch 190/1000, Cost: 4.1869\n",
+      " and the parameters are [-2.00332322  2.83293756] -3.5469454069575392 ;\n",
+      "Epoch 190/1000, Cost: 3.2421\n",
+      " and the parameters are [-2.00335558  2.83298477] -3.546972729598554 ;\n",
+      "Epoch 190/1000, Cost: 3.8719\n",
+      " and the parameters are [-2.00343757  2.83293737] -3.547026060636627 ;\n",
+      "Epoch 190/1000, Cost: 1.9186\n",
+      " and the parameters are [-2.00344196  2.83305095] -3.5469895573103822 ;\n",
+      "Epoch 190/1000, Cost: 5.8946\n",
+      " and the parameters are [-2.00347737  2.83313731] -3.546966286951434 ;\n",
+      "Epoch 190/1000, Cost: 2.1481\n",
+      " and the parameters are [-2.00348637  2.83323887] -3.5469471398274863 ;\n",
+      "Epoch 190/1000, Cost: 6.4232\n",
+      " and the parameters are [-2.00366341  2.83302718] -3.5470613208182997 ;\n",
+      "Epoch 190/1000, Cost: 6.1199\n",
+      " and the parameters are [-2.00370243  2.83306074] -3.5470371701211842 ;\n",
+      "Epoch 190/1000, Cost: 2.4365\n",
+      " and the parameters are [-2.00370144  2.83315208] -3.5470341969814245 ;\n",
+      "Epoch 190/1000, Cost: 6.8234\n",
+      " and the parameters are [-2.00365787  2.83309354] -3.547160320860946 ;\n",
+      "Epoch 190/1000, Cost: 3.8061\n",
+      " and the parameters are [-2.0037002   2.83306631] -3.5472269769404106 ;\n",
+      "Epoch 190/1000, Cost: 4.6020\n",
+      " and the parameters are [-2.00370417  2.83303213] -3.547325817535255 ;\n",
+      "Epoch 190/1000, Cost: 4.3890\n",
+      " and the parameters are [-2.00382043  2.83296717] -3.5473701970398928 ;\n",
+      "Epoch 190/1000, Cost: 3.9043\n",
+      " and the parameters are [-2.00389865  2.83294542] -3.5474190119126128 ;\n",
+      "Epoch 190/1000, Cost: 5.2269\n",
+      " and the parameters are [-2.00383325  2.83294542] -3.547508698439532 ;\n",
+      "Epoch 190/1000, Cost: 3.0874\n",
+      " and the parameters are [-2.00386     2.83297514] -3.5475443192512977 ;\n",
+      "Epoch 190/1000, Cost: 2.0840\n",
+      " and the parameters are [-2.00387966  2.8329973 ] -3.547576754222368 ;\n",
+      "Epoch 190/1000, Cost: 2.6156\n",
+      " and the parameters are [-2.00387728  2.8330564 ] -3.547601869156417 ;\n",
+      "Epoch 190/1000, Cost: 5.2067\n",
+      " and the parameters are [-2.00392095  2.83302819] -3.547673206027113 ;\n",
+      "Epoch 190/1000, Cost: 3.4712\n",
+      " and the parameters are [-2.00386734  2.83315485] -3.5476847776628233 ;\n",
+      "Epoch 190/1000, Cost: 3.6216\n",
+      " and the parameters are [-2.00382794  2.83327644] -3.547667796430811 ;\n",
+      "Epoch 190/1000, Cost: 5.6221\n",
+      " and the parameters are [-2.00371858  2.83331643] -3.547764117076076 ;\n",
+      "Epoch 190/1000, Cost: 3.7070\n",
+      " and the parameters are [-2.00370425  2.83335447] -3.547809447283178 ;\n",
+      "Epoch 190/1000, Cost: 5.8845\n",
+      " and the parameters are [-2.00371232  2.83334419] -3.547862867381968 ;\n",
+      "Epoch 190/1000, Cost: 6.9952\n",
+      " and the parameters are [-2.00368843  2.83333929] -3.547919868978977 ;\n",
+      "Epoch 190/1000, Cost: 6.9646\n",
+      " and the parameters are [-2.00383471  2.83317523] -3.547993300828986 ;\n",
+      "Epoch 190/1000, Cost: 3.5647\n",
+      " and the parameters are [-2.00387324  2.83326351] -3.5479717856670665 ;\n",
+      "Epoch 190/1000, Cost: 3.0151\n",
+      " and the parameters are [-2.00388482  2.83326254] -3.5480355279078606 ;\n",
+      "Epoch 190/1000, Cost: 4.9951\n",
+      " and the parameters are [-2.00388413  2.83328298] -3.548110022115244 ;\n",
+      "Epoch 190/1000, Cost: 3.8636\n",
+      " and the parameters are [-2.00389595  2.83329568] -3.548142212964809 ;\n",
+      "Epoch 190/1000, Cost: 6.1969\n",
+      " and the parameters are [-2.00390178  2.83332083] -3.548187168464278 ;\n",
+      "Epoch 190/1000, Cost: 4.4125\n",
+      " and the parameters are [-2.00400579  2.83323491] -3.548259618861346 ;\n",
+      "Epoch 190/1000, Cost: 9.1122\n",
+      " and the parameters are [-2.00400623  2.83315296] -3.5483722490845313 ;\n",
+      "Epoch 190/1000, Cost: 1.8638\n",
+      " and the parameters are [-2.00404773  2.83317632] -3.548392298376132 ;\n",
+      "Epoch 190/1000, Cost: 5.1099\n",
+      " and the parameters are [-2.00405872  2.83321644] -3.5484246138541975 ;\n",
+      "Epoch 190/1000, Cost: 7.2757\n",
+      " and the parameters are [-2.00408845  2.83320663] -3.548470379921089 ;\n",
+      "Epoch 190/1000, Cost: 3.5028\n",
+      " and the parameters are [-2.00410782  2.83322509] -3.5484991369685193 ;\n",
+      "Epoch 190/1000, Cost: 2.7444\n",
+      " and the parameters are [-2.0041074  2.8332913] -3.54852537645553 ;\n",
+      "Epoch 190/1000, Cost: 4.4736\n",
+      " and the parameters are [-2.00411469  2.83327983] -3.5486265356455173 ;\n",
+      "Epoch 190/1000, Cost: 2.9742\n",
+      " and the parameters are [-2.00408842  2.8333819 ] -3.548626242317596 ;\n",
+      "Epoch 200/1000, Cost: 3.1858\n",
+      " and the parameters are [-2.03787114  2.87394945] -3.608650330436447 ;\n",
+      "Epoch 200/1000, Cost: 4.7541\n",
+      " and the parameters are [-2.0378637   2.87388575] -3.608776561866202 ;\n",
+      "Epoch 200/1000, Cost: 3.8989\n",
+      " and the parameters are [-2.03783368  2.87401966] -3.6087616049856637 ;\n",
+      "Epoch 200/1000, Cost: 5.7926\n",
+      " and the parameters are [-2.03776881  2.87402613] -3.6088339027862557 ;\n",
+      "Epoch 200/1000, Cost: 5.7658\n",
+      " and the parameters are [-2.03775073  2.87401387] -3.6089256499017344 ;\n",
+      "Epoch 200/1000, Cost: 3.8143\n",
+      " and the parameters are [-2.03775334  2.87418505] -3.6088488645481864 ;\n",
+      "Epoch 200/1000, Cost: 5.5760\n",
+      " and the parameters are [-2.03790664  2.8739373 ] -3.609019220591113 ;\n",
+      "Epoch 200/1000, Cost: 1.5969\n",
+      " and the parameters are [-2.03793356  2.87397747] -3.6090231298787607 ;\n",
+      "Epoch 200/1000, Cost: 2.3295\n",
+      " and the parameters are [-2.03796144  2.87401239] -3.6090443036758955 ;\n",
+      "Epoch 200/1000, Cost: 4.4284\n",
+      " and the parameters are [-2.03802349  2.87392477] -3.6091378896251545 ;\n",
+      "Epoch 200/1000, Cost: 3.0196\n",
+      " and the parameters are [-2.03805027  2.87405567] -3.6090929831932144 ;\n",
+      "Epoch 200/1000, Cost: 3.7468\n",
+      " and the parameters are [-2.03809186  2.87398332] -3.6091808484702854 ;\n",
+      "Epoch 200/1000, Cost: 3.9017\n",
+      " and the parameters are [-2.03820013  2.8740127 ] -3.609174643127705 ;\n",
+      "Epoch 200/1000, Cost: 3.6217\n",
+      " and the parameters are [-2.03818758  2.87417469] -3.6091126496345383 ;\n",
+      "Epoch 200/1000, Cost: 4.9415\n",
+      " and the parameters are [-2.03828726  2.87410202] -3.609177087038513 ;\n",
+      "Epoch 200/1000, Cost: 3.1149\n",
+      " and the parameters are [-2.03833646  2.87405746] -3.6092554871800373 ;\n",
+      "Epoch 200/1000, Cost: 6.3023\n",
+      " and the parameters are [-2.03832194  2.87407247] -3.609281052811409 ;\n",
+      "Epoch 200/1000, Cost: 5.8674\n",
+      " and the parameters are [-2.03829892  2.87395039] -3.60943603122272 ;\n",
+      "Epoch 200/1000, Cost: 8.3585\n",
+      " and the parameters are [-2.03826737  2.8738947 ] -3.6094727907534643 ;\n",
+      "Epoch 200/1000, Cost: 5.1531\n",
+      " and the parameters are [-2.0383342   2.87397104] -3.609431523915283 ;\n",
+      "Epoch 200/1000, Cost: 3.9015\n",
+      " and the parameters are [-2.03842325  2.87384268] -3.6095454183203413 ;\n",
+      "Epoch 200/1000, Cost: 4.8959\n",
+      " and the parameters are [-2.03835647  2.87393769] -3.6095594722462536 ;\n",
+      "Epoch 200/1000, Cost: 2.4595\n",
+      " and the parameters are [-2.03834707  2.87398379] -3.609590598423806 ;\n",
+      "Epoch 200/1000, Cost: 3.9942\n",
+      " and the parameters are [-2.03832551  2.87391771] -3.609704253517469 ;\n",
+      "Epoch 200/1000, Cost: 5.2467\n",
+      " and the parameters are [-2.03833954  2.87395759] -3.609710827721168 ;\n",
+      "Epoch 200/1000, Cost: 5.1055\n",
+      " and the parameters are [-2.03843742  2.87393363] -3.6097347223341534 ;\n",
+      "Epoch 200/1000, Cost: 3.6545\n",
+      " and the parameters are [-2.03853971  2.87384658] -3.6098019866751914 ;\n",
+      "Epoch 200/1000, Cost: 6.4536\n",
+      " and the parameters are [-2.03859532  2.8738796 ] -3.6097990730419336 ;\n",
+      "Epoch 200/1000, Cost: 2.6283\n",
+      " and the parameters are [-2.03864988  2.87387243] -3.6098433511654275 ;\n",
+      "Epoch 200/1000, Cost: 5.6668\n",
+      " and the parameters are [-2.03865151  2.8738115 ] -3.609954794541834 ;\n",
+      "Epoch 200/1000, Cost: 2.6026\n",
+      " and the parameters are [-2.03865257  2.8738768 ] -3.6099721161764933 ;\n",
+      "Epoch 200/1000, Cost: 3.8827\n",
+      " and the parameters are [-2.0386943   2.87389989] -3.6099957576886172 ;\n",
+      "Epoch 200/1000, Cost: 4.1106\n",
+      " and the parameters are [-2.03878386  2.87390073] -3.6100185466711783 ;\n",
+      "Epoch 200/1000, Cost: 3.5001\n",
+      " and the parameters are [-2.03878194  2.87391908] -3.6100479347630534 ;\n",
+      "Epoch 200/1000, Cost: 3.6973\n",
+      " and the parameters are [-2.03877071  2.8739907 ] -3.6100668440590242 ;\n",
+      "Epoch 200/1000, Cost: 3.6550\n",
+      " and the parameters are [-2.03881553  2.87398234] -3.610111094520546 ;\n",
+      "Epoch 200/1000, Cost: 3.3341\n",
+      " and the parameters are [-2.03882675  2.87400521] -3.610162256581674 ;\n",
+      "Epoch 200/1000, Cost: 4.1361\n",
+      " and the parameters are [-2.03877874  2.87410561] -3.610189879522136 ;\n",
+      "Epoch 200/1000, Cost: 5.5243\n",
+      " and the parameters are [-2.03890803  2.87395947] -3.6102631140202037 ;\n",
+      "Epoch 200/1000, Cost: 4.6170\n",
+      " and the parameters are [-2.03885757  2.87401194] -3.610317860242679 ;\n",
+      "Epoch 200/1000, Cost: 6.5085\n",
+      " and the parameters are [-2.0388452   2.87399515] -3.610411680315703 ;\n",
+      "Epoch 200/1000, Cost: 3.2482\n",
+      " and the parameters are [-2.03892617  2.87405086] -3.6103736751259716 ;\n",
+      "Epoch 200/1000, Cost: 2.7338\n",
+      " and the parameters are [-2.03887827  2.87410238] -3.6104343073339193 ;\n",
+      "Epoch 200/1000, Cost: 4.4954\n",
+      " and the parameters are [-2.03902803  2.87410587] -3.610395417186326 ;\n",
+      "Epoch 200/1000, Cost: 8.0272\n",
+      " and the parameters are [-2.03913382  2.87389467] -3.610537538747015 ;\n",
+      "Epoch 200/1000, Cost: 3.8711\n",
+      " and the parameters are [-2.03908267  2.87389871] -3.610650026635086 ;\n",
+      "Epoch 200/1000, Cost: 5.3189\n",
+      " and the parameters are [-2.03903915  2.87404777] -3.6106225518499264 ;\n",
+      "Epoch 200/1000, Cost: 4.0328\n",
+      " and the parameters are [-2.03910646  2.87404404] -3.610678856860441 ;\n",
+      "Epoch 200/1000, Cost: 3.8437\n",
+      " and the parameters are [-2.03910458  2.87404005] -3.6107482207801738 ;\n",
+      "Epoch 200/1000, Cost: 3.9789\n",
+      " and the parameters are [-2.0391444   2.87415226] -3.610713215977893 ;\n",
+      "Epoch 200/1000, Cost: 3.8736\n",
+      " and the parameters are [-2.03916395  2.87420042] -3.61074196193901 ;\n",
+      "Epoch 200/1000, Cost: 4.4323\n",
+      " and the parameters are [-2.03921822  2.87423449] -3.610750196291967 ;\n",
+      "Epoch 200/1000, Cost: 2.7012\n",
+      " and the parameters are [-2.03921062  2.87431796] -3.6107594851438325 ;\n",
+      "Epoch 200/1000, Cost: 3.1287\n",
+      " and the parameters are [-2.03923123  2.87445235] -3.6107121838105334 ;\n",
+      "Epoch 200/1000, Cost: 6.2992\n",
+      " and the parameters are [-2.03919687  2.87437972] -3.61081785489715 ;\n",
+      "Epoch 200/1000, Cost: 6.0008\n",
+      " and the parameters are [-2.03928026  2.87421465] -3.610964187179366 ;\n",
+      "Epoch 200/1000, Cost: 4.4304\n",
+      " and the parameters are [-2.03922715  2.8742827 ] -3.610996278121298 ;\n",
+      "Epoch 200/1000, Cost: 3.1866\n",
+      " and the parameters are [-2.03923038  2.8743911 ] -3.6109488671365364 ;\n",
+      "Epoch 200/1000, Cost: 3.3402\n",
+      " and the parameters are [-2.03927811  2.87448069] -3.610919530662479 ;\n",
+      "Epoch 200/1000, Cost: 3.2474\n",
+      " and the parameters are [-2.0393371   2.87453039] -3.6109051175650118 ;\n",
+      "Epoch 200/1000, Cost: 3.5459\n",
+      " and the parameters are [-2.0393583   2.87458439] -3.6109336220808412 ;\n",
+      "Epoch 200/1000, Cost: 3.5769\n",
+      " and the parameters are [-2.03939504  2.8745874 ] -3.610984623376973 ;\n",
+      "Epoch 200/1000, Cost: 4.7166\n",
+      " and the parameters are [-2.03946346  2.87460031] -3.6110106816011314 ;\n",
+      "Epoch 200/1000, Cost: 4.6348\n",
+      " and the parameters are [-2.03953087  2.87464322] -3.6109935108917646 ;\n",
+      "Epoch 200/1000, Cost: 4.4718\n",
+      " and the parameters are [-2.03957705  2.87471269] -3.6109863966422626 ;\n",
+      "Epoch 200/1000, Cost: 5.1477\n",
+      " and the parameters are [-2.03961972  2.87475134] -3.6109635937422304 ;\n",
+      "Epoch 200/1000, Cost: 3.7200\n",
+      " and the parameters are [-2.03965867  2.87485137] -3.6109248076651324 ;\n",
+      "Epoch 200/1000, Cost: 4.6952\n",
+      " and the parameters are [-2.03966473  2.87490618] -3.6109426617310754 ;\n",
+      "Epoch 200/1000, Cost: 7.9141\n",
+      " and the parameters are [-2.03967185  2.87488928] -3.6109876570375996 ;\n",
+      "Epoch 200/1000, Cost: 6.3520\n",
+      " and the parameters are [-2.03970538  2.87486245] -3.6110365028984424 ;\n",
+      "Epoch 200/1000, Cost: 6.4743\n",
+      " and the parameters are [-2.03970836  2.87487093] -3.6110965085160274 ;\n",
+      "Epoch 200/1000, Cost: 5.4053\n",
+      " and the parameters are [-2.03975839  2.87489094] -3.6111195826418316 ;\n",
+      "Epoch 200/1000, Cost: 3.4898\n",
+      " and the parameters are [-2.0397917   2.87491596] -3.6111353727009403 ;\n",
+      "Epoch 200/1000, Cost: 3.4637\n",
+      " and the parameters are [-2.03974512  2.87495792] -3.6111843559614156 ;\n",
+      "Epoch 200/1000, Cost: 4.0437\n",
+      " and the parameters are [-2.03972499  2.87506483] -3.611174794512225 ;\n",
+      "Epoch 200/1000, Cost: 7.3601\n",
+      " and the parameters are [-2.03980242  2.87501452] -3.611202292664495 ;\n",
+      "Epoch 200/1000, Cost: 4.8937\n",
+      " and the parameters are [-2.03967325  2.87509896] -3.6112497375324617 ;\n",
+      "Epoch 200/1000, Cost: 3.3583\n",
+      " and the parameters are [-2.03970722  2.87508991] -3.6112889601406404 ;\n",
+      "Epoch 200/1000, Cost: 2.5616\n",
+      " and the parameters are [-2.03967364  2.87524287] -3.6112543091865525 ;\n",
+      "Epoch 200/1000, Cost: 3.0924\n",
+      " and the parameters are [-2.03968614  2.87524495] -3.611305528818263 ;\n",
+      "Epoch 200/1000, Cost: 7.3039\n",
+      " and the parameters are [-2.03973922  2.8750383 ] -3.611479026665521 ;\n",
+      "Epoch 200/1000, Cost: 4.1526\n",
+      " and the parameters are [-2.03967231  2.87507249] -3.611561501343994 ;\n",
+      "Epoch 200/1000, Cost: 3.8283\n",
+      " and the parameters are [-2.03969045  2.87518519] -3.611523153315584 ;\n",
+      "Epoch 200/1000, Cost: 4.1101\n",
+      " and the parameters are [-2.03973602  2.87520045] -3.6115469148815293 ;\n",
+      "Epoch 200/1000, Cost: 2.0732\n",
+      " and the parameters are [-2.03973748  2.87526577] -3.6115590739200085 ;\n",
+      "Epoch 200/1000, Cost: 3.7326\n",
+      " and the parameters are [-2.03970293  2.8752901 ] -3.611629460414289 ;\n",
+      "Epoch 200/1000, Cost: 3.0760\n",
+      " and the parameters are [-2.0397343   2.87527719] -3.6117008353808484 ;\n",
+      "Epoch 200/1000, Cost: 3.9611\n",
+      " and the parameters are [-2.03972049  2.87530775] -3.611748148883464 ;\n",
+      "Epoch 200/1000, Cost: 4.5246\n",
+      " and the parameters are [-2.03960492  2.87535774] -3.611828935007151 ;\n",
+      "Epoch 200/1000, Cost: 2.7222\n",
+      " and the parameters are [-2.03960671  2.87543321] -3.6118289128126984 ;\n",
+      "Epoch 200/1000, Cost: 6.2192\n",
+      " and the parameters are [-2.03975838  2.87521668] -3.611978412381376 ;\n",
+      "Epoch 200/1000, Cost: 3.8338\n",
+      " and the parameters are [-2.03974106  2.8752357 ] -3.612030976823073 ;\n",
+      "Epoch 200/1000, Cost: 5.3457\n",
+      " and the parameters are [-2.03977563  2.87528065] -3.612056098494042 ;\n",
+      "Epoch 200/1000, Cost: 2.5203\n",
+      " and the parameters are [-2.03987249  2.87524446] -3.612096281072069 ;\n",
+      "Epoch 200/1000, Cost: 4.2281\n",
+      " and the parameters are [-2.03995228  2.8752018 ] -3.612163598852851 ;\n",
+      "Epoch 200/1000, Cost: 2.6721\n",
+      " and the parameters are [-2.03996744  2.87520162] -3.612222889187817 ;\n",
+      "Epoch 200/1000, Cost: 2.8296\n",
+      " and the parameters are [-2.03994816  2.8752607 ] -3.612257294630605 ;\n",
+      "Epoch 200/1000, Cost: 4.6703\n",
+      " and the parameters are [-2.03990377  2.87540086] -3.6122523721036615 ;\n",
+      "Epoch 200/1000, Cost: 3.9550\n",
+      " and the parameters are [-2.03989237  2.87551103] -3.6122244986158316 ;\n",
+      "Epoch 200/1000, Cost: 3.7341\n",
+      " and the parameters are [-2.03989801  2.87559506] -3.6122037162367806 ;\n",
+      "Epoch 200/1000, Cost: 3.1176\n",
+      " and the parameters are [-2.03997354  2.87556281] -3.612262713473584 ;\n",
+      "Epoch 200/1000, Cost: 3.6397\n",
+      " and the parameters are [-2.03998719  2.87561969] -3.612276687312825 ;\n",
+      "Epoch 200/1000, Cost: 4.1810\n",
+      " and the parameters are [-2.03993757  2.87577558] -3.6122476617129293 ;\n",
+      "Epoch 200/1000, Cost: 4.6683\n",
+      " and the parameters are [-2.03996787  2.87581131] -3.6122710470960198 ;\n",
+      "Epoch 200/1000, Cost: 4.5377\n",
+      " and the parameters are [-2.03996809  2.87591414] -3.612264825948103 ;\n",
+      "Epoch 200/1000, Cost: 4.7367\n",
+      " and the parameters are [-2.0400444   2.87593557] -3.612263539500529 ;\n",
+      "Epoch 200/1000, Cost: 6.4529\n",
+      " and the parameters are [-2.04017227  2.87576446] -3.6123952288972823 ;\n",
+      "Epoch 200/1000, Cost: 3.0906\n",
+      " and the parameters are [-2.04023939  2.87585476] -3.612352834519187 ;\n",
+      "Epoch 200/1000, Cost: 3.7553\n",
+      " and the parameters are [-2.04025884  2.87582545] -3.612446431903774 ;\n",
+      "Epoch 200/1000, Cost: 4.8864\n",
+      " and the parameters are [-2.04022674  2.87594729] -3.6124306225065137 ;\n",
+      "Epoch 200/1000, Cost: 5.0928\n",
+      " and the parameters are [-2.04020481  2.8760657 ] -3.612405093712755 ;\n",
+      "Epoch 200/1000, Cost: 3.4536\n",
+      " and the parameters are [-2.04016217  2.87614987] -3.6124277227012147 ;\n",
+      "Epoch 200/1000, Cost: 3.1659\n",
+      " and the parameters are [-2.04011239  2.87629277] -3.612410547553322 ;\n",
+      "Epoch 200/1000, Cost: 5.2126\n",
+      " and the parameters are [-2.0401816   2.87616016] -3.612536821172228 ;\n",
+      "Epoch 200/1000, Cost: 2.6585\n",
+      " and the parameters are [-2.04017804  2.87622209] -3.6125154335156604 ;\n",
+      "Epoch 200/1000, Cost: 1.9004\n",
+      " and the parameters are [-2.04017368  2.87625213] -3.6125450310687173 ;\n",
+      "Epoch 200/1000, Cost: 3.4062\n",
+      " and the parameters are [-2.04012786  2.87638191] -3.6125438772185126 ;\n",
+      "Epoch 200/1000, Cost: 3.0249\n",
+      " and the parameters are [-2.04011586  2.87641598] -3.612586476100566 ;\n",
+      "Epoch 200/1000, Cost: 5.3314\n",
+      " and the parameters are [-2.04012632  2.87659062] -3.612506420899788 ;\n",
+      "Epoch 200/1000, Cost: 7.4834\n",
+      " and the parameters are [-2.04022662  2.87636084] -3.612649389664299 ;\n",
+      "Epoch 200/1000, Cost: 4.2043\n",
+      " and the parameters are [-2.04022693  2.87634788] -3.612712208651318 ;\n",
+      "Epoch 200/1000, Cost: 3.5617\n",
+      " and the parameters are [-2.04028352  2.87630066] -3.6127790207961086 ;\n",
+      "Epoch 200/1000, Cost: 4.6179\n",
+      " and the parameters are [-2.04037459  2.87628651] -3.612812632113755 ;\n",
+      "Epoch 200/1000, Cost: 3.5762\n",
+      " and the parameters are [-2.04040584  2.87637513] -3.6128016498073467 ;\n",
+      "Epoch 200/1000, Cost: 4.0179\n",
+      " and the parameters are [-2.04039825  2.87635229] -3.6128832533298425 ;\n",
+      "Epoch 200/1000, Cost: 2.9772\n",
+      " and the parameters are [-2.04040298  2.87633311] -3.612952496528027 ;\n",
+      "Epoch 200/1000, Cost: 5.4226\n",
+      " and the parameters are [-2.04047566  2.87641862] -3.6129157292655987 ;\n",
+      "Epoch 200/1000, Cost: 3.4869\n",
+      " and the parameters are [-2.04040141  2.87649097] -3.6129605695245517 ;\n",
+      "Epoch 200/1000, Cost: 5.0095\n",
+      " and the parameters are [-2.04044556  2.87658599] -3.6128910277362265 ;\n",
+      "Epoch 200/1000, Cost: 1.9005\n",
+      " and the parameters are [-2.04041743  2.87666951] -3.612908935578942 ;\n",
+      "Epoch 200/1000, Cost: 5.0682\n",
+      " and the parameters are [-2.04038535  2.87658181] -3.6130406625587734 ;\n",
+      "Epoch 200/1000, Cost: 2.9951\n",
+      " and the parameters are [-2.04043832  2.87665642] -3.6130147166098627 ;\n",
+      "Epoch 200/1000, Cost: 4.6375\n",
+      " and the parameters are [-2.04042102  2.87667243] -3.6130929976724047 ;\n",
+      "Epoch 200/1000, Cost: 4.3315\n",
+      " and the parameters are [-2.04040029  2.876727  ] -3.61313097834022 ;\n",
+      "Epoch 200/1000, Cost: 4.3334\n",
+      " and the parameters are [-2.04039651  2.87667445] -3.6132369242728366 ;\n",
+      "Epoch 200/1000, Cost: 2.6019\n",
+      " and the parameters are [-2.04039979  2.87673824] -3.613259713541917 ;\n",
+      "Epoch 200/1000, Cost: 4.3798\n",
+      " and the parameters are [-2.04050314  2.87662149] -3.6133408269177063 ;\n",
+      "Epoch 200/1000, Cost: 4.3101\n",
+      " and the parameters are [-2.04046538  2.87669595] -3.6133649638208816 ;\n",
+      "Epoch 200/1000, Cost: 3.6316\n",
+      " and the parameters are [-2.04057669  2.87671896] -3.61333392987825 ;\n",
+      "Epoch 200/1000, Cost: 4.9137\n",
+      " and the parameters are [-2.04068819  2.8766341 ] -3.613390495635032 ;\n",
+      "Epoch 200/1000, Cost: 4.1796\n",
+      " and the parameters are [-2.04072621  2.87670471] -3.6133670006037018 ;\n",
+      "Epoch 200/1000, Cost: 3.2421\n",
+      " and the parameters are [-2.04073191  2.87673995] -3.613401354700896 ;\n",
+      "Epoch 200/1000, Cost: 4.9416\n",
+      " and the parameters are [-2.04078171  2.87672913] -3.613441991509792 ;\n",
+      "Epoch 200/1000, Cost: 3.6455\n",
+      " and the parameters are [-2.04081794  2.87673396] -3.6134931299719164 ;\n",
+      "Epoch 200/1000, Cost: 4.1348\n",
+      " and the parameters are [-2.04079531  2.87680587] -3.613514850554604 ;\n",
+      "Epoch 200/1000, Cost: 5.3888\n",
+      " and the parameters are [-2.04075584  2.8769281 ] -3.613502286178953 ;\n",
+      "Epoch 200/1000, Cost: 4.7497\n",
+      " and the parameters are [-2.04080772  2.87683502] -3.6136118846675904 ;\n",
+      "Epoch 200/1000, Cost: 3.4957\n",
+      " and the parameters are [-2.04077629  2.87688919] -3.6136509548995086 ;\n",
+      "Epoch 200/1000, Cost: 3.4084\n",
+      " and the parameters are [-2.04077533  2.8769487 ] -3.61367505504258 ;\n",
+      "Epoch 200/1000, Cost: 6.3511\n",
+      " and the parameters are [-2.04077108  2.87690356] -3.6137602330113685 ;\n",
+      "Epoch 200/1000, Cost: 3.4944\n",
+      " and the parameters are [-2.04077726  2.87696772] -3.6137842210491398 ;\n",
+      "Epoch 200/1000, Cost: 4.3145\n",
+      " and the parameters are [-2.04074688  2.8769753 ] -3.613854444338527 ;\n",
+      "Epoch 200/1000, Cost: 3.8550\n",
+      " and the parameters are [-2.04075683  2.87706995] -3.613849867662752 ;\n",
+      "Epoch 200/1000, Cost: 2.9755\n",
+      " and the parameters are [-2.04078585  2.87707156] -3.613906037741834 ;\n",
+      "Epoch 200/1000, Cost: 2.8498\n",
+      " and the parameters are [-2.04079054  2.87709457] -3.6139586930944243 ;\n",
+      "Epoch 200/1000, Cost: 3.8852\n",
+      " and the parameters are [-2.04077161  2.87719536] -3.613953174986317 ;\n",
+      "Epoch 200/1000, Cost: 4.8540\n",
+      " and the parameters are [-2.0407931   2.87723958] -3.6139749059108253 ;\n",
+      "Epoch 200/1000, Cost: 2.9035\n",
+      " and the parameters are [-2.04083349  2.87729331] -3.613963502722815 ;\n",
+      "Epoch 200/1000, Cost: 4.7472\n",
+      " and the parameters are [-2.04080975  2.87723294] -3.614074579532313 ;\n",
+      "Epoch 200/1000, Cost: 6.3308\n",
+      " and the parameters are [-2.04088675  2.87736255] -3.6140012930676306 ;\n",
+      "Epoch 200/1000, Cost: 3.3193\n",
+      " and the parameters are [-2.04088917  2.87743316] -3.6140115592845374 ;\n",
+      "Epoch 200/1000, Cost: 2.3721\n",
+      " and the parameters are [-2.04088542  2.8774953 ] -3.6140320202061753 ;\n",
+      "Epoch 200/1000, Cost: 6.3320\n",
+      " and the parameters are [-2.04089897  2.87751553] -3.614042198222746 ;\n",
+      "Epoch 200/1000, Cost: 5.8439\n",
+      " and the parameters are [-2.04090161  2.8775175 ] -3.61410054743452 ;\n",
+      "Epoch 200/1000, Cost: 6.3117\n",
+      " and the parameters are [-2.04095244  2.87742098] -3.6141677500693365 ;\n",
+      "Epoch 200/1000, Cost: 2.0347\n",
+      " and the parameters are [-2.04098539  2.87745192] -3.6141889399655005 ;\n",
+      "Epoch 200/1000, Cost: 9.6504\n",
+      " and the parameters are [-2.04114572  2.87721395] -3.6142684154132403 ;\n",
+      "Epoch 200/1000, Cost: 3.8649\n",
+      " and the parameters are [-2.04113286  2.87717411] -3.6143630631913934 ;\n",
+      "Epoch 200/1000, Cost: 3.5197\n",
+      " and the parameters are [-2.04113655  2.87729079] -3.6143351139446 ;\n",
+      "Epoch 200/1000, Cost: 3.7871\n",
+      " and the parameters are [-2.04116762  2.87720366] -3.614433827115841 ;\n",
+      "Epoch 200/1000, Cost: 4.3965\n",
+      " and the parameters are [-2.0411081   2.87724852] -3.6144925021110783 ;\n",
+      "Epoch 200/1000, Cost: 6.4515\n",
+      " and the parameters are [-2.04102705  2.87728326] -3.614570795237548 ;\n",
+      "Epoch 200/1000, Cost: 4.9193\n",
+      " and the parameters are [-2.04113494  2.87718463] -3.6146429232119375 ;\n",
+      "Epoch 200/1000, Cost: 4.0584\n",
+      " and the parameters are [-2.04121162  2.8772455 ] -3.61461867502779 ;\n",
+      "Epoch 200/1000, Cost: 2.8486\n",
+      " and the parameters are [-2.04127208  2.87723353] -3.614672832908994 ;\n",
+      "Epoch 200/1000, Cost: 4.6216\n",
+      " and the parameters are [-2.0412785   2.87737007] -3.6146001213899206 ;\n",
+      "Epoch 200/1000, Cost: 3.0151\n",
+      " and the parameters are [-2.04132952  2.87736927] -3.614641663904354 ;\n",
+      "Epoch 200/1000, Cost: 4.9276\n",
+      " and the parameters are [-2.04138784  2.87747002] -3.6145721792251826 ;\n",
+      "Epoch 200/1000, Cost: 3.3156\n",
+      " and the parameters are [-2.04132789  2.87752952] -3.614618552205642 ;\n",
+      "Epoch 200/1000, Cost: 2.9457\n",
+      " and the parameters are [-2.04139309  2.87748346] -3.6146828454702553 ;\n",
+      "Epoch 200/1000, Cost: 2.8408\n",
+      " and the parameters are [-2.04142561  2.87744653] -3.6147560948855193 ;\n",
+      "Epoch 200/1000, Cost: 4.6594\n",
+      " and the parameters are [-2.04147135  2.87739867] -3.6148202779247813 ;\n",
+      "Epoch 200/1000, Cost: 6.5214\n",
+      " and the parameters are [-2.04150562  2.87729488] -3.614911346501168 ;\n",
+      "Epoch 200/1000, Cost: 4.1786\n",
+      " and the parameters are [-2.04143866  2.87732903] -3.6149869841391977 ;\n",
+      "Epoch 200/1000, Cost: 2.3225\n",
+      " and the parameters are [-2.04143687  2.87742109] -3.6149718449247983 ;\n",
+      "Epoch 200/1000, Cost: 4.9875\n",
+      " and the parameters are [-2.04142404  2.87741568] -3.6150554061152245 ;\n",
+      "Epoch 200/1000, Cost: 6.7560\n",
+      " and the parameters are [-2.04137997  2.87753274] -3.6150590684209156 ;\n",
+      "Epoch 200/1000, Cost: 3.6857\n",
+      " and the parameters are [-2.04140613  2.87763404] -3.61502798558096 ;\n",
+      "Epoch 200/1000, Cost: 3.7625\n",
+      " and the parameters are [-2.04132023  2.87769945] -3.615070961437426 ;\n",
+      "Epoch 200/1000, Cost: 5.1181\n",
+      " and the parameters are [-2.04140922  2.87779007] -3.6150166245646203 ;\n",
+      "Epoch 200/1000, Cost: 6.7459\n",
+      " and the parameters are [-2.04135491  2.87795744] -3.6149583813679054 ;\n",
+      "Epoch 200/1000, Cost: 4.2122\n",
+      " and the parameters are [-2.04140211  2.87794668] -3.615021755422031 ;\n",
+      "Epoch 200/1000, Cost: 4.6054\n",
+      " and the parameters are [-2.0414099   2.87803839] -3.6150177042598277 ;\n",
+      "Epoch 200/1000, Cost: 2.5926\n",
+      " and the parameters are [-2.04144277  2.87807169] -3.61504112266679 ;\n",
+      "Epoch 200/1000, Cost: 6.1738\n",
+      " and the parameters are [-2.04139341  2.87829638] -3.614919105617102 ;\n",
+      "Epoch 200/1000, Cost: 5.4105\n",
+      " and the parameters are [-2.04136712  2.87826262] -3.6150256745069527 ;\n",
+      "Epoch 200/1000, Cost: 4.0474\n",
+      " and the parameters are [-2.04136856  2.87840498] -3.61498282985842 ;\n",
+      "Epoch 200/1000, Cost: 5.2484\n",
+      " and the parameters are [-2.04139076  2.87845604] -3.614992707901281 ;\n",
+      "Epoch 200/1000, Cost: 5.3472\n",
+      " and the parameters are [-2.04144892  2.87840026] -3.615078549403253 ;\n",
+      "Epoch 200/1000, Cost: 5.9242\n",
+      " and the parameters are [-2.04147852  2.87847402] -3.615041187880653 ;\n",
+      "Epoch 210/1000, Cost: 2.7634\n",
+      " and the parameters are [-2.07371708  2.91743819] -3.672398162231933 ;\n",
+      "Epoch 210/1000, Cost: 1.9578\n",
+      " and the parameters are [-2.07371652  2.91748948] -3.67240493006174 ;\n",
+      "Epoch 210/1000, Cost: 5.1542\n",
+      " and the parameters are [-2.07374139  2.91753975] -3.6724065181229215 ;\n",
+      "Epoch 210/1000, Cost: 4.6417\n",
+      " and the parameters are [-2.07369217  2.91759506] -3.672436644771295 ;\n",
+      "Epoch 210/1000, Cost: 3.3357\n",
+      " and the parameters are [-2.07372353  2.91755519] -3.6725183179189234 ;\n",
+      "Epoch 210/1000, Cost: 2.6347\n",
+      " and the parameters are [-2.07374651  2.91753713] -3.6725766444180286 ;\n",
+      "Epoch 210/1000, Cost: 3.5178\n",
+      " and the parameters are [-2.07369726  2.91760111] -3.6726246475984516 ;\n",
+      "Epoch 210/1000, Cost: 2.1117\n",
+      " and the parameters are [-2.07368747  2.91763704] -3.672659457027123 ;\n",
+      "Epoch 210/1000, Cost: 3.4190\n",
+      " and the parameters are [-2.07370738  2.91773278] -3.6726226345369497 ;\n",
+      "Epoch 210/1000, Cost: 4.4258\n",
+      " and the parameters are [-2.07374896  2.91777227] -3.672637461037864 ;\n",
+      "Epoch 210/1000, Cost: 2.6143\n",
+      " and the parameters are [-2.07373566  2.91784485] -3.672658473067138 ;\n",
+      "Epoch 210/1000, Cost: 5.8234\n",
+      " and the parameters are [-2.07366607  2.91780333] -3.672771503173525 ;\n",
+      "Epoch 210/1000, Cost: 2.9900\n",
+      " and the parameters are [-2.07372132  2.91779562] -3.672813142621507 ;\n",
+      "Epoch 210/1000, Cost: 3.3130\n",
+      " and the parameters are [-2.07377173  2.91789727] -3.6727717756146396 ;\n",
+      "Epoch 210/1000, Cost: 3.9287\n",
+      " and the parameters are [-2.07380038  2.91791148] -3.672812692653163 ;\n",
+      "Epoch 210/1000, Cost: 5.5691\n",
+      " and the parameters are [-2.0737644   2.91799364] -3.6728044740785735 ;\n",
+      "Epoch 210/1000, Cost: 3.7183\n",
+      " and the parameters are [-2.07381832  2.9180383 ] -3.6727890627999518 ;\n",
+      "Epoch 210/1000, Cost: 5.4971\n",
+      " and the parameters are [-2.07385964  2.91810303] -3.6727450068266463 ;\n",
+      "Epoch 210/1000, Cost: 4.5803\n",
+      " and the parameters are [-2.07382553  2.91815927] -3.6728019894913695 ;\n",
+      "Epoch 210/1000, Cost: 4.4299\n",
+      " and the parameters are [-2.07390976  2.91810882] -3.672851374951594 ;\n",
+      "Epoch 210/1000, Cost: 4.3707\n",
+      " and the parameters are [-2.07395372  2.91804629] -3.672932731597122 ;\n",
+      "Epoch 210/1000, Cost: 3.1628\n",
+      " and the parameters are [-2.0739975   2.91799344] -3.6730183976683732 ;\n",
+      "Epoch 210/1000, Cost: 5.1063\n",
+      " and the parameters are [-2.07398227  2.91789102] -3.673161287862035 ;\n",
+      "Epoch 210/1000, Cost: 5.0343\n",
+      " and the parameters are [-2.07404768  2.91799419] -3.673106825431774 ;\n",
+      "Epoch 210/1000, Cost: 5.5196\n",
+      " and the parameters are [-2.07407204  2.91807455] -3.6730836299785112 ;\n",
+      "Epoch 210/1000, Cost: 3.4403\n",
+      " and the parameters are [-2.07411967  2.91818327] -3.673013995822708 ;\n",
+      "Epoch 210/1000, Cost: 3.4571\n",
+      " and the parameters are [-2.07411069  2.91825053] -3.6730367544696523 ;\n",
+      "Epoch 210/1000, Cost: 3.2008\n",
+      " and the parameters are [-2.07419309  2.91823444] -3.6730583030816586 ;\n",
+      "Epoch 210/1000, Cost: 3.3373\n",
+      " and the parameters are [-2.07416374  2.91837646] -3.673026689650111 ;\n",
+      "Epoch 210/1000, Cost: 4.5016\n",
+      " and the parameters are [-2.07417415  2.91843049] -3.6730579243435164 ;\n",
+      "Epoch 210/1000, Cost: 5.7763\n",
+      " and the parameters are [-2.07428889  2.91828305] -3.6731645131394157 ;\n",
+      "Epoch 210/1000, Cost: 4.7150\n",
+      " and the parameters are [-2.07433708  2.91824831] -3.673250905761905 ;\n",
+      "Epoch 210/1000, Cost: 2.9308\n",
+      " and the parameters are [-2.0743349  2.9183964] -3.6732043245144923 ;\n",
+      "Epoch 210/1000, Cost: 2.2400\n",
+      " and the parameters are [-2.07437288  2.91836014] -3.6732638610214265 ;\n",
+      "Epoch 210/1000, Cost: 7.2932\n",
+      " and the parameters are [-2.07436577  2.91852721] -3.673167827841506 ;\n",
+      "Epoch 210/1000, Cost: 3.4942\n",
+      " and the parameters are [-2.07441422  2.9184927 ] -3.6732384014309676 ;\n",
+      "Epoch 210/1000, Cost: 6.0602\n",
+      " and the parameters are [-2.07453278  2.91840846] -3.6733145134279894 ;\n",
+      "Epoch 210/1000, Cost: 4.3547\n",
+      " and the parameters are [-2.07454553  2.91844639] -3.673349787485118 ;\n",
+      "Epoch 210/1000, Cost: 3.5604\n",
+      " and the parameters are [-2.07460978  2.9183922 ] -3.6734236761058585 ;\n",
+      "Epoch 210/1000, Cost: 3.3262\n",
+      " and the parameters are [-2.0746363   2.91841827] -3.6734360843663563 ;\n",
+      "Epoch 210/1000, Cost: 2.9091\n",
+      " and the parameters are [-2.0745844   2.91853575] -3.673432437169135 ;\n",
+      "Epoch 210/1000, Cost: 4.2024\n",
+      " and the parameters are [-2.07467583  2.91850269] -3.673469118028413 ;\n",
+      "Epoch 210/1000, Cost: 5.4208\n",
+      " and the parameters are [-2.07479398  2.91850049] -3.673456880405576 ;\n",
+      "Epoch 210/1000, Cost: 4.8964\n",
+      " and the parameters are [-2.07477251  2.91849857] -3.6735398742506047 ;\n",
+      "Epoch 210/1000, Cost: 4.1583\n",
+      " and the parameters are [-2.07482597  2.91863688] -3.673435730135738 ;\n",
+      "Epoch 210/1000, Cost: 4.6585\n",
+      " and the parameters are [-2.07483264  2.91871784] -3.67342732217946 ;\n",
+      "Epoch 210/1000, Cost: 5.5201\n",
+      " and the parameters are [-2.0748365   2.91882621] -3.673361716147039 ;\n",
+      "Epoch 210/1000, Cost: 6.9436\n",
+      " and the parameters are [-2.07493191  2.91872476] -3.673439969723141 ;\n",
+      "Epoch 210/1000, Cost: 4.7804\n",
+      " and the parameters are [-2.07502685  2.91863965] -3.6735061275225203 ;\n",
+      "Epoch 210/1000, Cost: 3.4487\n",
+      " and the parameters are [-2.07505365  2.91857901] -3.6736042036187913 ;\n",
+      "Epoch 210/1000, Cost: 2.4717\n",
+      " and the parameters are [-2.07508309  2.91861959] -3.6736190169163363 ;\n",
+      "Epoch 210/1000, Cost: 2.6700\n",
+      " and the parameters are [-2.07505206  2.91870765] -3.6736323701143996 ;\n",
+      "Epoch 210/1000, Cost: 2.8220\n",
+      " and the parameters are [-2.07497996  2.91870811] -3.673723183001684 ;\n",
+      "Epoch 210/1000, Cost: 4.6112\n",
+      " and the parameters are [-2.07496082  2.91874354] -3.6737733611412655 ;\n",
+      "Epoch 210/1000, Cost: 4.5880\n",
+      " and the parameters are [-2.07498041  2.91872594] -3.6738476241890092 ;\n",
+      "Epoch 210/1000, Cost: 3.5768\n",
+      " and the parameters are [-2.0750285   2.91866521] -3.6739175642789865 ;\n",
+      "Epoch 210/1000, Cost: 2.7477\n",
+      " and the parameters are [-2.07500775  2.91865266] -3.6739810002834297 ;\n",
+      "Epoch 210/1000, Cost: 4.4087\n",
+      " and the parameters are [-2.07506946  2.91861149] -3.674035819895663 ;\n",
+      "Epoch 210/1000, Cost: 3.1421\n",
+      " and the parameters are [-2.07508164  2.91869061] -3.674028757480035 ;\n",
+      "Epoch 210/1000, Cost: 3.9887\n",
+      " and the parameters are [-2.07508989  2.91871015] -3.6740646277392957 ;\n",
+      "Epoch 210/1000, Cost: 3.1882\n",
+      " and the parameters are [-2.07507     2.91875445] -3.6741175836232745 ;\n",
+      "Epoch 210/1000, Cost: 3.9959\n",
+      " and the parameters are [-2.07505805  2.91883245] -3.6741204171022543 ;\n",
+      "Epoch 210/1000, Cost: 4.6645\n",
+      " and the parameters are [-2.07520133  2.91873133] -3.6741853892158116 ;\n",
+      "Epoch 210/1000, Cost: 3.6649\n",
+      " and the parameters are [-2.07527721  2.91871058] -3.6742129818524925 ;\n",
+      "Epoch 210/1000, Cost: 2.8925\n",
+      " and the parameters are [-2.07532922  2.91878049] -3.6741917298774642 ;\n",
+      "Epoch 210/1000, Cost: 4.7195\n",
+      " and the parameters are [-2.07534984  2.9189748 ] -3.674076829554761 ;\n",
+      "Epoch 210/1000, Cost: 4.0842\n",
+      " and the parameters are [-2.07538585  2.91892824] -3.67414395748415 ;\n",
+      "Epoch 210/1000, Cost: 2.8079\n",
+      " and the parameters are [-2.07543235  2.91892095] -3.6742013806115175 ;\n",
+      "Epoch 210/1000, Cost: 3.4911\n",
+      " and the parameters are [-2.07547026  2.91892154] -3.674238898611913 ;\n",
+      "Epoch 210/1000, Cost: 8.2996\n",
+      " and the parameters are [-2.07541498  2.91890557] -3.6743223691977005 ;\n",
+      "Epoch 210/1000, Cost: 5.2252\n",
+      " and the parameters are [-2.07549867  2.91887948] -3.674351177316176 ;\n",
+      "Epoch 210/1000, Cost: 2.8840\n",
+      " and the parameters are [-2.07553484  2.91891531] -3.6743652194630574 ;\n",
+      "Epoch 210/1000, Cost: 3.6671\n",
+      " and the parameters are [-2.07559168  2.91881544] -3.6744890189726727 ;\n",
+      "Epoch 210/1000, Cost: 2.8551\n",
+      " and the parameters are [-2.07559834  2.91890249] -3.674485398928684 ;\n",
+      "Epoch 210/1000, Cost: 7.6445\n",
+      " and the parameters are [-2.07557123  2.91898371] -3.674488515355982 ;\n",
+      "Epoch 210/1000, Cost: 7.7581\n",
+      " and the parameters are [-2.0755817  2.9190969] -3.674396936698859 ;\n",
+      "Epoch 210/1000, Cost: 3.2746\n",
+      " and the parameters are [-2.07567182  2.91900813] -3.674459871703512 ;\n",
+      "Epoch 210/1000, Cost: 3.8185\n",
+      " and the parameters are [-2.07570859  2.91892025] -3.674566665879439 ;\n",
+      "Epoch 210/1000, Cost: 3.6864\n",
+      " and the parameters are [-2.07575488  2.91892195] -3.6746046905487164 ;\n",
+      "Epoch 210/1000, Cost: 3.2286\n",
+      " and the parameters are [-2.07573744  2.91900653] -3.674621049312919 ;\n",
+      "Epoch 210/1000, Cost: 3.0267\n",
+      " and the parameters are [-2.07577236  2.91900474] -3.674671474356395 ;\n",
+      "Epoch 210/1000, Cost: 3.5143\n",
+      " and the parameters are [-2.0758362   2.91898627] -3.674729692946034 ;\n",
+      "Epoch 210/1000, Cost: 5.1508\n",
+      " and the parameters are [-2.07583772  2.91905361] -3.674758459280948 ;\n",
+      "Epoch 210/1000, Cost: 3.5807\n",
+      " and the parameters are [-2.07584727  2.91911275] -3.6747862792664554 ;\n",
+      "Epoch 210/1000, Cost: 6.0531\n",
+      " and the parameters are [-2.07589271  2.91899055] -3.6749183452061183 ;\n",
+      "Epoch 210/1000, Cost: 2.7862\n",
+      " and the parameters are [-2.07587888  2.91905458] -3.6749257044073405 ;\n",
+      "Epoch 210/1000, Cost: 2.8824\n",
+      " and the parameters are [-2.07587182  2.91919186] -3.6748834163281203 ;\n",
+      "Epoch 210/1000, Cost: 5.1711\n",
+      " and the parameters are [-2.07582671  2.91933363] -3.6748379826316255 ;\n",
+      "Epoch 210/1000, Cost: 3.3112\n",
+      " and the parameters are [-2.07583907  2.9193861 ] -3.674868768361568 ;\n",
+      "Epoch 210/1000, Cost: 5.3758\n",
+      " and the parameters are [-2.0758604   2.91938703] -3.674931677703117 ;\n",
+      "Epoch 210/1000, Cost: 3.0286\n",
+      " and the parameters are [-2.07589919  2.91940299] -3.674964872405417 ;\n",
+      "Epoch 210/1000, Cost: 2.6804\n",
+      " and the parameters are [-2.07591883  2.91945689] -3.6749753866828243 ;\n",
+      "Epoch 210/1000, Cost: 3.3404\n",
+      " and the parameters are [-2.07594693  2.91949996] -3.6749898544281305 ;\n",
+      "Epoch 210/1000, Cost: 3.3007\n",
+      " and the parameters are [-2.07594214  2.9196337 ] -3.674942449450511 ;\n",
+      "Epoch 210/1000, Cost: 4.4840\n",
+      " and the parameters are [-2.07592912  2.91968464] -3.6749574072569198 ;\n",
+      "Epoch 210/1000, Cost: 5.4046\n",
+      " and the parameters are [-2.07585026  2.9197148 ] -3.6750475792050215 ;\n",
+      "Epoch 210/1000, Cost: 3.2199\n",
+      " and the parameters are [-2.07586116  2.91979459] -3.675061109115301 ;\n",
+      "Epoch 210/1000, Cost: 3.2434\n",
+      " and the parameters are [-2.07586057  2.91980696] -3.6751314132501944 ;\n",
+      "Epoch 210/1000, Cost: 5.3736\n",
+      " and the parameters are [-2.07585561  2.9197777 ] -3.6752307305319247 ;\n",
+      "Epoch 210/1000, Cost: 2.5972\n",
+      " and the parameters are [-2.07587658  2.91987316] -3.6751985160717373 ;\n",
+      "Epoch 210/1000, Cost: 3.5317\n",
+      " and the parameters are [-2.07588     2.91999428] -3.675152899408542 ;\n",
+      "Epoch 210/1000, Cost: 3.7457\n",
+      " and the parameters are [-2.07587705  2.92007174] -3.6751575807629786 ;\n",
+      "Epoch 210/1000, Cost: 7.6127\n",
+      " and the parameters are [-2.07588731  2.91995649] -3.675257288106833 ;\n",
+      "Epoch 210/1000, Cost: 4.7426\n",
+      " and the parameters are [-2.0759479  2.9199491] -3.675279672928087 ;\n",
+      "Epoch 210/1000, Cost: 4.2042\n",
+      " and the parameters are [-2.07593137  2.91996537] -3.6753328586406657 ;\n",
+      "Epoch 210/1000, Cost: 3.5419\n",
+      " and the parameters are [-2.07591975  2.92011074] -3.675285304180442 ;\n",
+      "Epoch 210/1000, Cost: 4.6095\n",
+      " and the parameters are [-2.07597725  2.92001217] -3.675375019099249 ;\n",
+      "Epoch 210/1000, Cost: 6.6197\n",
+      " and the parameters are [-2.0758961   2.92009427] -3.6753934311393595 ;\n",
+      "Epoch 210/1000, Cost: 3.8227\n",
+      " and the parameters are [-2.07586802  2.92018044] -3.6754211822445906 ;\n",
+      "Epoch 210/1000, Cost: 4.5260\n",
+      " and the parameters are [-2.07593866  2.92016151] -3.6754580794471843 ;\n",
+      "Epoch 210/1000, Cost: 3.2580\n",
+      " and the parameters are [-2.0758734   2.92025471] -3.675469942285895 ;\n",
+      "Epoch 210/1000, Cost: 1.8815\n",
+      " and the parameters are [-2.07591419  2.92025421] -3.675510398772702 ;\n",
+      "Epoch 210/1000, Cost: 3.7042\n",
+      " and the parameters are [-2.07587525  2.92034824] -3.6755239590256985 ;\n",
+      "Epoch 210/1000, Cost: 3.1572\n",
+      " and the parameters are [-2.0758677   2.92043475] -3.6755176332913293 ;\n",
+      "Epoch 210/1000, Cost: 3.3352\n",
+      " and the parameters are [-2.07585265  2.92048883] -3.675556010012748 ;\n",
+      "Epoch 210/1000, Cost: 4.2510\n",
+      " and the parameters are [-2.0759445   2.92044469] -3.6755951188026526 ;\n",
+      "Epoch 210/1000, Cost: 4.4171\n",
+      " and the parameters are [-2.07595333  2.92041456] -3.675674110350272 ;\n",
+      "Epoch 210/1000, Cost: 3.7032\n",
+      " and the parameters are [-2.07600691  2.92043274] -3.6756897586931054 ;\n",
+      "Epoch 210/1000, Cost: 7.0880\n",
+      " and the parameters are [-2.07602898  2.92057363] -3.675614886398739 ;\n",
+      "Epoch 210/1000, Cost: 3.7077\n",
+      " and the parameters are [-2.07613706  2.92057289] -3.6756073540844656 ;\n",
+      "Epoch 210/1000, Cost: 1.6786\n",
+      " and the parameters are [-2.07611916  2.92066141] -3.6756038910277664 ;\n",
+      "Epoch 210/1000, Cost: 1.9419\n",
+      " and the parameters are [-2.07610986  2.92072689] -3.675613819014749 ;\n",
+      "Epoch 210/1000, Cost: 3.1670\n",
+      " and the parameters are [-2.07611099  2.92086996] -3.675564919765991 ;\n",
+      "Epoch 210/1000, Cost: 6.3182\n",
+      " and the parameters are [-2.07620225  2.92083749] -3.67556908667603 ;\n",
+      "Epoch 210/1000, Cost: 2.5948\n",
+      " and the parameters are [-2.07614164  2.92088974] -3.6756316541438028 ;\n",
+      "Epoch 210/1000, Cost: 6.6369\n",
+      " and the parameters are [-2.07621134  2.92080968] -3.675718287143562 ;\n",
+      "Epoch 210/1000, Cost: 3.7067\n",
+      " and the parameters are [-2.07626271  2.92080401] -3.6757696793919106 ;\n",
+      "Epoch 210/1000, Cost: 9.0275\n",
+      " and the parameters are [-2.07624964  2.92075338] -3.6758200586171714 ;\n",
+      "Epoch 210/1000, Cost: 2.4145\n",
+      " and the parameters are [-2.07630148  2.9208194 ] -3.6758081515604575 ;\n",
+      "Epoch 210/1000, Cost: 6.3318\n",
+      " and the parameters are [-2.0763461   2.92083585] -3.6758238466581687 ;\n",
+      "Epoch 210/1000, Cost: 2.3826\n",
+      " and the parameters are [-2.07636904  2.92085789] -3.67585315096018 ;\n",
+      "Epoch 210/1000, Cost: 3.2061\n",
+      " and the parameters are [-2.07640693  2.92090146] -3.675855222052398 ;\n",
+      "Epoch 210/1000, Cost: 3.2988\n",
+      " and the parameters are [-2.07639548  2.92096792] -3.6758784886920854 ;\n",
+      "Epoch 210/1000, Cost: 5.8126\n",
+      " and the parameters are [-2.07647133  2.92093851] -3.6759217696804942 ;\n",
+      "Epoch 210/1000, Cost: 4.7951\n",
+      " and the parameters are [-2.07645686  2.92095037] -3.6759643484390043 ;\n",
+      "Epoch 210/1000, Cost: 4.6961\n",
+      " and the parameters are [-2.0765807  2.9208865] -3.67600742362921 ;\n",
+      "Epoch 210/1000, Cost: 9.5158\n",
+      " and the parameters are [-2.07659905  2.92074173] -3.676114758387626 ;\n",
+      "Epoch 210/1000, Cost: 4.3789\n",
+      " and the parameters are [-2.07667684  2.92063258] -3.676213464326839 ;\n",
+      "Epoch 210/1000, Cost: 5.4018\n",
+      " and the parameters are [-2.07663748  2.92057656] -3.6763310852833757 ;\n",
+      "Epoch 210/1000, Cost: 3.4892\n",
+      " and the parameters are [-2.076695    2.92061943] -3.6763151154892895 ;\n",
+      "Epoch 210/1000, Cost: 4.5636\n",
+      " and the parameters are [-2.07672003  2.92056184] -3.6764021162347067 ;\n",
+      "Epoch 210/1000, Cost: 3.7429\n",
+      " and the parameters are [-2.07672484  2.92053854] -3.676476178388429 ;\n",
+      "Epoch 210/1000, Cost: 2.7820\n",
+      " and the parameters are [-2.07667876  2.9205721 ] -3.6765320996373876 ;\n",
+      "Epoch 210/1000, Cost: 6.1707\n",
+      " and the parameters are [-2.07669536  2.92048448] -3.676648060617763 ;\n",
+      "Epoch 210/1000, Cost: 4.7644\n",
+      " and the parameters are [-2.07667654  2.92056705] -3.6766652410041116 ;\n",
+      "Epoch 210/1000, Cost: 2.6736\n",
+      " and the parameters are [-2.07663971  2.92061776] -3.676695544370444 ;\n",
+      "Epoch 210/1000, Cost: 4.2721\n",
+      " and the parameters are [-2.07661821  2.92070102] -3.6766793045115587 ;\n",
+      "Epoch 210/1000, Cost: 4.0057\n",
+      " and the parameters are [-2.07656445  2.92085056] -3.6766398584340982 ;\n",
+      "Epoch 210/1000, Cost: 6.4771\n",
+      " and the parameters are [-2.07647098  2.92082877] -3.6767804690680874 ;\n",
+      "Epoch 210/1000, Cost: 5.4935\n",
+      " and the parameters are [-2.07648352  2.92072022] -3.6769068126329607 ;\n",
+      "Epoch 210/1000, Cost: 3.3391\n",
+      " and the parameters are [-2.07651069  2.92077058] -3.676927835296393 ;\n",
+      "Epoch 210/1000, Cost: 5.1397\n",
+      " and the parameters are [-2.07649433  2.9206975 ] -3.6770530778864017 ;\n",
+      "Epoch 210/1000, Cost: 4.1712\n",
+      " and the parameters are [-2.0765503   2.92060047] -3.67715472860175 ;\n",
+      "Epoch 210/1000, Cost: 4.9520\n",
+      " and the parameters are [-2.07655566  2.92074127] -3.6771008019593094 ;\n",
+      "Epoch 210/1000, Cost: 3.7807\n",
+      " and the parameters are [-2.0765478   2.92075926] -3.6771652495857183 ;\n",
+      "Epoch 210/1000, Cost: 4.2358\n",
+      " and the parameters are [-2.07655082  2.92076791] -3.677215044016702 ;\n",
+      "Epoch 210/1000, Cost: 7.0081\n",
+      " and the parameters are [-2.07664425  2.92059883] -3.677356854522924 ;\n",
+      "Epoch 210/1000, Cost: 3.0997\n",
+      " and the parameters are [-2.07668214  2.92064844] -3.6773574153795154 ;\n",
+      "Epoch 210/1000, Cost: 5.6987\n",
+      " and the parameters are [-2.07656147  2.92087128] -3.677309246251092 ;\n",
+      "Epoch 210/1000, Cost: 4.2059\n",
+      " and the parameters are [-2.07663308  2.92073622] -3.6774115623018213 ;\n",
+      "Epoch 210/1000, Cost: 2.9996\n",
+      " and the parameters are [-2.07669535  2.92076224] -3.677414127995774 ;\n",
+      "Epoch 210/1000, Cost: 4.2557\n",
+      " and the parameters are [-2.07671835  2.92085428] -3.677401508098535 ;\n",
+      "Epoch 210/1000, Cost: 4.9024\n",
+      " and the parameters are [-2.07676172  2.92099229] -3.677341946785721 ;\n",
+      "Epoch 210/1000, Cost: 8.4166\n",
+      " and the parameters are [-2.07667362  2.92116215] -3.6772660075404406 ;\n",
+      "Epoch 210/1000, Cost: 5.3401\n",
+      " and the parameters are [-2.07665014  2.92127073] -3.6772309677974726 ;\n",
+      "Epoch 210/1000, Cost: 3.3824\n",
+      " and the parameters are [-2.07670303  2.92126219] -3.677263665226616 ;\n",
+      "Epoch 210/1000, Cost: 2.8432\n",
+      " and the parameters are [-2.07667742  2.92133607] -3.6772893263800586 ;\n",
+      "Epoch 210/1000, Cost: 3.1859\n",
+      " and the parameters are [-2.07668832  2.92133649] -3.677346068882418 ;\n",
+      "Epoch 210/1000, Cost: 3.8178\n",
+      " and the parameters are [-2.0766691   2.92140586] -3.6773531305741765 ;\n",
+      "Epoch 210/1000, Cost: 8.7741\n",
+      " and the parameters are [-2.07675468  2.92120952] -3.6774739419437243 ;\n",
+      "Epoch 210/1000, Cost: 3.7177\n",
+      " and the parameters are [-2.07674816  2.92131045] -3.677472274470594 ;\n",
+      "Epoch 210/1000, Cost: 7.1065\n",
+      " and the parameters are [-2.07664712  2.92130115] -3.677594093499173 ;\n",
+      "Epoch 210/1000, Cost: 2.3363\n",
+      " and the parameters are [-2.07664872  2.92144466] -3.6775458888984143 ;\n",
+      "Epoch 210/1000, Cost: 2.1866\n",
+      " and the parameters are [-2.07665635  2.92146623] -3.67758944819403 ;\n",
+      "Epoch 210/1000, Cost: 4.2118\n",
+      " and the parameters are [-2.07671574  2.92161338] -3.6774986206174076 ;\n",
+      "Epoch 210/1000, Cost: 2.7001\n",
+      " and the parameters are [-2.07671381  2.92161046] -3.6775541792992374 ;\n",
+      "Epoch 210/1000, Cost: 2.4284\n",
+      " and the parameters are [-2.07669116  2.92168753] -3.6775538422584435 ;\n",
+      "Epoch 210/1000, Cost: 5.2791\n",
+      " and the parameters are [-2.07670193  2.92165057] -3.6776397673879107 ;\n",
+      "Epoch 210/1000, Cost: 5.5052\n",
+      " and the parameters are [-2.0766322   2.92164476] -3.677731993111164 ;\n",
+      "Epoch 210/1000, Cost: 4.8373\n",
+      " and the parameters are [-2.07661112  2.92169107] -3.6777799801439714 ;\n",
+      "Epoch 210/1000, Cost: 3.3473\n",
+      " and the parameters are [-2.07661397  2.92161563] -3.6778892362266147 ;\n",
+      "Epoch 210/1000, Cost: 2.6430\n",
+      " and the parameters are [-2.07659646  2.92161731] -3.6779569704222848 ;\n",
+      "Epoch 210/1000, Cost: 2.4484\n",
+      " and the parameters are [-2.07664132  2.92161772] -3.6779868664386917 ;\n",
+      "Epoch 210/1000, Cost: 5.3417\n",
+      " and the parameters are [-2.0766909  2.9214442] -3.6781320145558114 ;\n",
+      "Epoch 210/1000, Cost: 3.7054\n",
+      " and the parameters are [-2.07677786  2.92148823] -3.6781094226751803 ;\n",
+      "Epoch 210/1000, Cost: 6.5445\n",
+      " and the parameters are [-2.07695982  2.92128334] -3.6781999366028937 ;\n",
+      "Epoch 210/1000, Cost: 3.3763\n",
+      " and the parameters are [-2.0769948  2.9213058] -3.6782303500259097 ;\n",
+      "Epoch 210/1000, Cost: 5.0288\n",
+      " and the parameters are [-2.07705055  2.92142575] -3.678176852698752 ;\n",
+      "Epoch 210/1000, Cost: 3.3085\n",
+      " and the parameters are [-2.07704008  2.92143519] -3.6782333762502404 ;\n",
+      "Epoch 210/1000, Cost: 3.7491\n",
+      " and the parameters are [-2.0770286   2.92145046] -3.6782878603627966 ;\n",
+      "Epoch 210/1000, Cost: 9.2298\n",
+      " and the parameters are [-2.07705378  2.92134505] -3.6783629519366223 ;\n",
+      "Epoch 210/1000, Cost: 4.1165\n",
+      " and the parameters are [-2.07716073  2.92137744] -3.6783475860036123 ;\n",
+      "Epoch 210/1000, Cost: 3.7635\n",
+      " and the parameters are [-2.07712633  2.9214534 ] -3.678371932984904 ;\n",
+      "Epoch 210/1000, Cost: 3.2962\n",
+      " and the parameters are [-2.07714704  2.92141645] -3.678452773837953 ;\n",
+      "Epoch 210/1000, Cost: 5.6281\n",
+      " and the parameters are [-2.07723656  2.92119994] -3.6786120668764406 ;\n",
+      "Epoch 210/1000, Cost: 2.8913\n",
+      " and the parameters are [-2.07724403  2.92134497] -3.67856510284686 ;\n",
+      "Epoch 210/1000, Cost: 3.2026\n",
+      " and the parameters are [-2.07724743  2.92134786] -3.6786092518747906 ;\n",
+      "Epoch 210/1000, Cost: 4.1176\n",
+      " and the parameters are [-2.07723201  2.92137988] -3.678668091803794 ;\n",
+      "Epoch 210/1000, Cost: 5.4084\n",
+      " and the parameters are [-2.07727173  2.92145919] -3.6786604909420677 ;\n",
+      "Epoch 210/1000, Cost: 5.2660\n",
+      " and the parameters are [-2.0772407   2.92156753] -3.6786426436089616 ;\n",
+      "Epoch 220/1000, Cost: 4.0572\n",
+      " and the parameters are [-2.1081334   2.95890608] -3.7336737178138115 ;\n",
+      "Epoch 220/1000, Cost: 4.6333\n",
+      " and the parameters are [-2.10816621  2.95891819] -3.73370770306174 ;\n",
+      "Epoch 220/1000, Cost: 6.7205\n",
+      " and the parameters are [-2.10817143  2.95886922] -3.733761713116836 ;\n",
+      "Epoch 220/1000, Cost: 6.5755\n",
+      " and the parameters are [-2.10822732  2.95895331] -3.733724581695932 ;\n",
+      "Epoch 220/1000, Cost: 4.0108\n",
+      " and the parameters are [-2.10828728  2.95891234] -3.7337702128937362 ;\n",
+      "Epoch 220/1000, Cost: 3.5615\n",
+      " and the parameters are [-2.10836558  2.95904662] -3.733662285297771 ;\n",
+      "Epoch 220/1000, Cost: 2.8555\n",
+      " and the parameters are [-2.10841551  2.95901989] -3.7337127331226725 ;\n",
+      "Epoch 220/1000, Cost: 4.0359\n",
+      " and the parameters are [-2.10842443  2.95909827] -3.7337139993974477 ;\n",
+      "Epoch 220/1000, Cost: 2.9768\n",
+      " and the parameters are [-2.10848277  2.95915022] -3.7336902990943077 ;\n",
+      "Epoch 220/1000, Cost: 5.8778\n",
+      " and the parameters are [-2.10851626  2.95920141] -3.7336588498360452 ;\n",
+      "Epoch 220/1000, Cost: 4.0574\n",
+      " and the parameters are [-2.10855894  2.95924355] -3.733668388928896 ;\n",
+      "Epoch 220/1000, Cost: 1.8740\n",
+      " and the parameters are [-2.10851746  2.95932107] -3.733683408407243 ;\n",
+      "Epoch 220/1000, Cost: 8.1002\n",
+      " and the parameters are [-2.1084604   2.95931822] -3.733725124414179 ;\n",
+      "Epoch 220/1000, Cost: 3.8054\n",
+      " and the parameters are [-2.10855179  2.959353  ] -3.7337144308589214 ;\n",
+      "Epoch 220/1000, Cost: 3.6257\n",
+      " and the parameters are [-2.10851974  2.95939749] -3.7337716571099175 ;\n",
+      "Epoch 220/1000, Cost: 4.1007\n",
+      " and the parameters are [-2.10855425  2.95935634] -3.733846339662327 ;\n",
+      "Epoch 220/1000, Cost: 3.7316\n",
+      " and the parameters are [-2.10865113  2.95937401] -3.7338355607962512 ;\n",
+      "Epoch 220/1000, Cost: 3.1735\n",
+      " and the parameters are [-2.10866287  2.95938739] -3.7338696515212604 ;\n",
+      "Epoch 220/1000, Cost: 2.8359\n",
+      " and the parameters are [-2.10868528  2.95937737] -3.733925015068426 ;\n",
+      "Epoch 220/1000, Cost: 5.7170\n",
+      " and the parameters are [-2.10877044  2.9594197 ] -3.733893918388925 ;\n",
+      "Epoch 220/1000, Cost: 6.1652\n",
+      " and the parameters are [-2.10876562  2.95939743] -3.733968918490259 ;\n",
+      "Epoch 220/1000, Cost: 3.3820\n",
+      " and the parameters are [-2.10876498  2.95935148] -3.734071052048984 ;\n",
+      "Epoch 220/1000, Cost: 3.1216\n",
+      " and the parameters are [-2.10875726  2.959412  ] -3.7340797866446844 ;\n",
+      "Epoch 220/1000, Cost: 6.3714\n",
+      " and the parameters are [-2.10887268  2.95933875] -3.7341129904969907 ;\n",
+      "Epoch 220/1000, Cost: 3.2966\n",
+      " and the parameters are [-2.10888655  2.95940275] -3.734118753416996 ;\n",
+      "Epoch 220/1000, Cost: 4.3613\n",
+      " and the parameters are [-2.1089301   2.95943045] -3.734130690482355 ;\n",
+      "Epoch 220/1000, Cost: 2.7218\n",
+      " and the parameters are [-2.10895684  2.95942261] -3.7341722325572766 ;\n",
+      "Epoch 220/1000, Cost: 5.6768\n",
+      " and the parameters are [-2.1090264   2.95925764] -3.7343045189857005 ;\n",
+      "Epoch 220/1000, Cost: 3.0132\n",
+      " and the parameters are [-2.10906779  2.95935119] -3.734278304421507 ;\n",
+      "Epoch 220/1000, Cost: 2.2226\n",
+      " and the parameters are [-2.10907311  2.95937051] -3.7343236175914387 ;\n",
+      "Epoch 220/1000, Cost: 3.4449\n",
+      " and the parameters are [-2.10907978  2.95933741] -3.734406000869668 ;\n",
+      "Epoch 220/1000, Cost: 3.1989\n",
+      " and the parameters are [-2.10910902  2.95939791] -3.7344108230630724 ;\n",
+      "Epoch 220/1000, Cost: 4.5832\n",
+      " and the parameters are [-2.1090061   2.95951956] -3.7344316441529264 ;\n",
+      "Epoch 220/1000, Cost: 3.7832\n",
+      " and the parameters are [-2.10903925  2.95963517] -3.734390859748781 ;\n",
+      "Epoch 220/1000, Cost: 5.3285\n",
+      " and the parameters are [-2.10900946  2.95969925] -3.7343963654897028 ;\n",
+      "Epoch 220/1000, Cost: 2.6094\n",
+      " and the parameters are [-2.10900901  2.95976261] -3.7344099579513625 ;\n",
+      "Epoch 220/1000, Cost: 3.1539\n",
+      " and the parameters are [-2.10902031  2.95975814] -3.7344734442754293 ;\n",
+      "Epoch 220/1000, Cost: 4.1093\n",
+      " and the parameters are [-2.10914084  2.95967949] -3.734531418057745 ;\n",
+      "Epoch 220/1000, Cost: 1.6796\n",
+      " and the parameters are [-2.10915643  2.95975574] -3.7345195053609173 ;\n",
+      "Epoch 220/1000, Cost: 8.7029\n",
+      " and the parameters are [-2.1091679   2.95976044] -3.7345195050323867 ;\n",
+      "Epoch 220/1000, Cost: 4.5784\n",
+      " and the parameters are [-2.1091442   2.95978077] -3.734574517691642 ;\n",
+      "Epoch 220/1000, Cost: 2.8643\n",
+      " and the parameters are [-2.10914563  2.95984506] -3.7345862169131863 ;\n",
+      "Epoch 220/1000, Cost: 5.3967\n",
+      " and the parameters are [-2.10911744  2.95976283] -3.7347109987320977 ;\n",
+      "Epoch 220/1000, Cost: 3.7290\n",
+      " and the parameters are [-2.10907042  2.95986355] -3.7347302276849828 ;\n",
+      "Epoch 220/1000, Cost: 2.7385\n",
+      " and the parameters are [-2.10907932  2.95997881] -3.7347028824202964 ;\n",
+      "Epoch 220/1000, Cost: 3.5828\n",
+      " and the parameters are [-2.10910018  2.9600922 ] -3.7346736840802865 ;\n",
+      "Epoch 220/1000, Cost: 3.9822\n",
+      " and the parameters are [-2.10920792  2.96008118] -3.734674177184771 ;\n",
+      "Epoch 220/1000, Cost: 4.2616\n",
+      " and the parameters are [-2.10924574  2.96018962] -3.734631142154738 ;\n",
+      "Epoch 220/1000, Cost: 3.6664\n",
+      " and the parameters are [-2.10927747  2.96021538] -3.734654687943784 ;\n",
+      "Epoch 220/1000, Cost: 3.8702\n",
+      " and the parameters are [-2.1092987   2.96025885] -3.7346837724756887 ;\n",
+      "Epoch 220/1000, Cost: 3.0854\n",
+      " and the parameters are [-2.10934067  2.96035496] -3.7346482890333683 ;\n",
+      "Epoch 220/1000, Cost: 2.6473\n",
+      " and the parameters are [-2.10936433  2.96034586] -3.734707561274677 ;\n",
+      "Epoch 220/1000, Cost: 4.2523\n",
+      " and the parameters are [-2.10938035  2.96031153] -3.7347549686611785 ;\n",
+      "Epoch 220/1000, Cost: 3.7802\n",
+      " and the parameters are [-2.10937222  2.96026456] -3.73485652114793 ;\n",
+      "Epoch 220/1000, Cost: 8.0642\n",
+      " and the parameters are [-2.10943611  2.96008149] -3.735008995574581 ;\n",
+      "Epoch 220/1000, Cost: 4.2651\n",
+      " and the parameters are [-2.1095033   2.96017439] -3.734955943389437 ;\n",
+      "Epoch 220/1000, Cost: 5.5949\n",
+      " and the parameters are [-2.10951949  2.96014807] -3.7350078059650635 ;\n",
+      "Epoch 220/1000, Cost: 4.0620\n",
+      " and the parameters are [-2.10950478  2.96033904] -3.7349178574167636 ;\n",
+      "Epoch 220/1000, Cost: 2.5178\n",
+      " and the parameters are [-2.10953962  2.96032113] -3.7349755122534907 ;\n",
+      "Epoch 220/1000, Cost: 3.0362\n",
+      " and the parameters are [-2.10955414  2.96036643] -3.73499347855798 ;\n",
+      "Epoch 220/1000, Cost: 5.0631\n",
+      " and the parameters are [-2.1095615   2.96036075] -3.7350551003979566 ;\n",
+      "Epoch 220/1000, Cost: 4.5926\n",
+      " and the parameters are [-2.1094997   2.96041658] -3.7351082832050286 ;\n",
+      "Epoch 220/1000, Cost: 3.6334\n",
+      " and the parameters are [-2.10953394  2.96046095] -3.7351067696431066 ;\n",
+      "Epoch 220/1000, Cost: 3.8792\n",
+      " and the parameters are [-2.10955558  2.96052027] -3.735114177174353 ;\n",
+      "Epoch 220/1000, Cost: 1.7816\n",
+      " and the parameters are [-2.10952604  2.96055659] -3.7351507953373653 ;\n",
+      "Epoch 220/1000, Cost: 3.8224\n",
+      " and the parameters are [-2.10954256  2.96055669] -3.735205562761517 ;\n",
+      "Epoch 220/1000, Cost: 6.4091\n",
+      " and the parameters are [-2.10951365  2.96063515] -3.7351949518101613 ;\n",
+      "Epoch 220/1000, Cost: 3.8196\n",
+      " and the parameters are [-2.10956309  2.9605808 ] -3.7352786910096305 ;\n",
+      "Epoch 220/1000, Cost: 4.1582\n",
+      " and the parameters are [-2.10961566  2.96050022] -3.7353655374676413 ;\n",
+      "Epoch 220/1000, Cost: 5.4780\n",
+      " and the parameters are [-2.10960587  2.96046894] -3.7354327742860614 ;\n",
+      "Epoch 220/1000, Cost: 2.9600\n",
+      " and the parameters are [-2.10962917  2.96053489] -3.7354344388873755 ;\n",
+      "Epoch 220/1000, Cost: 6.8803\n",
+      " and the parameters are [-2.10974959  2.96049165] -3.735452823147649 ;\n",
+      "Epoch 220/1000, Cost: 3.1159\n",
+      " and the parameters are [-2.10978061  2.96053892] -3.7354672644154805 ;\n",
+      "Epoch 220/1000, Cost: 3.2394\n",
+      " and the parameters are [-2.10978999  2.96057913] -3.735490783404063 ;\n",
+      "Epoch 220/1000, Cost: 4.5048\n",
+      " and the parameters are [-2.10970179  2.9606235 ] -3.735552946170802 ;\n",
+      "Epoch 220/1000, Cost: 4.2491\n",
+      " and the parameters are [-2.10970952  2.96061225] -3.7356231024486664 ;\n",
+      "Epoch 220/1000, Cost: 4.0180\n",
+      " and the parameters are [-2.10964087  2.96067577] -3.735677477467178 ;\n",
+      "Epoch 220/1000, Cost: 4.7793\n",
+      " and the parameters are [-2.10967519  2.96075421] -3.7356527336277288 ;\n",
+      "Epoch 220/1000, Cost: 3.7164\n",
+      " and the parameters are [-2.10966819  2.96081305] -3.7356723784949413 ;\n",
+      "Epoch 220/1000, Cost: 2.8828\n",
+      " and the parameters are [-2.10972367  2.96079684] -3.7357058775998966 ;\n",
+      "Epoch 220/1000, Cost: 3.0770\n",
+      " and the parameters are [-2.10971903  2.9608349 ] -3.735739245070659 ;\n",
+      "Epoch 220/1000, Cost: 3.8046\n",
+      " and the parameters are [-2.1097956  2.9607678] -3.7358017886351123 ;\n",
+      "Epoch 220/1000, Cost: 2.9979\n",
+      " and the parameters are [-2.10977381  2.96094119] -3.7357314214628 ;\n",
+      "Epoch 220/1000, Cost: 5.0886\n",
+      " and the parameters are [-2.10975531  2.96087377] -3.7358728132349523 ;\n",
+      "Epoch 220/1000, Cost: 4.6131\n",
+      " and the parameters are [-2.10975195  2.96096806] -3.735873538816809 ;\n",
+      "Epoch 220/1000, Cost: 2.8260\n",
+      " and the parameters are [-2.10972651  2.96109541] -3.735861748457659 ;\n",
+      "Epoch 220/1000, Cost: 4.5993\n",
+      " and the parameters are [-2.10961686  2.96112785] -3.7359695866360085 ;\n",
+      "Epoch 220/1000, Cost: 3.1106\n",
+      " and the parameters are [-2.10963407  2.96124954] -3.735938546161388 ;\n",
+      "Epoch 220/1000, Cost: 4.3294\n",
+      " and the parameters are [-2.1096756   2.96119451] -3.736019239082728 ;\n",
+      "Epoch 220/1000, Cost: 4.1382\n",
+      " and the parameters are [-2.10971235  2.9611372 ] -3.736089732045098 ;\n",
+      "Epoch 220/1000, Cost: 3.8930\n",
+      " and the parameters are [-2.10968039  2.96112233] -3.7361768692168096 ;\n",
+      "Epoch 220/1000, Cost: 3.5525\n",
+      " and the parameters are [-2.10972294  2.96110009] -3.7362247993627067 ;\n",
+      "Epoch 220/1000, Cost: 5.2053\n",
+      " and the parameters are [-2.10977321  2.96107761] -3.736280252343181 ;\n",
+      "Epoch 220/1000, Cost: 2.7166\n",
+      " and the parameters are [-2.10980971  2.96115332] -3.73626525572517 ;\n",
+      "Epoch 220/1000, Cost: 2.7158\n",
+      " and the parameters are [-2.10979897  2.96115885] -3.7363152622464577 ;\n",
+      "Epoch 220/1000, Cost: 4.3744\n",
+      " and the parameters are [-2.10975672  2.96124282] -3.7363462653372723 ;\n",
+      "Epoch 220/1000, Cost: 4.4211\n",
+      " and the parameters are [-2.10983459  2.96119198] -3.736407357139542 ;\n",
+      "Epoch 220/1000, Cost: 4.2666\n",
+      " and the parameters are [-2.10989825  2.96123313] -3.736417120096665 ;\n",
+      "Epoch 220/1000, Cost: 3.3819\n",
+      " and the parameters are [-2.1098518  2.961331 ] -3.736429665763869 ;\n",
+      "Epoch 220/1000, Cost: 4.3888\n",
+      " and the parameters are [-2.10995016  2.9612309 ] -3.7365177451043583 ;\n",
+      "Epoch 220/1000, Cost: 4.5830\n",
+      " and the parameters are [-2.10995829  2.96122229] -3.7365695142811717 ;\n",
+      "Epoch 220/1000, Cost: 3.6627\n",
+      " and the parameters are [-2.11004087  2.96119757] -3.7366038597163223 ;\n",
+      "Epoch 220/1000, Cost: 5.2043\n",
+      " and the parameters are [-2.11002489  2.96119025] -3.736652685033226 ;\n",
+      "Epoch 220/1000, Cost: 3.4177\n",
+      " and the parameters are [-2.11000291  2.96126702] -3.7366807389752594 ;\n",
+      "Epoch 220/1000, Cost: 7.1393\n",
+      " and the parameters are [-2.11010885  2.9611585 ] -3.7367594901237404 ;\n",
+      "Epoch 220/1000, Cost: 2.0746\n",
+      " and the parameters are [-2.11011038  2.96127379] -3.7367293772091115 ;\n",
+      "Epoch 220/1000, Cost: 2.2065\n",
+      " and the parameters are [-2.11008944  2.96127709] -3.7367948815121776 ;\n",
+      "Epoch 220/1000, Cost: 3.9578\n",
+      " and the parameters are [-2.11012098  2.96128442] -3.7368079381613177 ;\n",
+      "Epoch 220/1000, Cost: 3.9979\n",
+      " and the parameters are [-2.11012704  2.96131002] -3.7368261069079303 ;\n",
+      "Epoch 220/1000, Cost: 3.4204\n",
+      " and the parameters are [-2.11014216  2.96126772] -3.736919347771041 ;\n",
+      "Epoch 220/1000, Cost: 2.1856\n",
+      " and the parameters are [-2.1101185   2.96136764] -3.7369160002708557 ;\n",
+      "Epoch 220/1000, Cost: 5.4741\n",
+      " and the parameters are [-2.11021219  2.96129967] -3.7369752469382793 ;\n",
+      "Epoch 220/1000, Cost: 4.0616\n",
+      " and the parameters are [-2.11021818  2.96136874] -3.7370090629232298 ;\n",
+      "Epoch 220/1000, Cost: 6.1427\n",
+      " and the parameters are [-2.11028541  2.96143906] -3.7369465307900422 ;\n",
+      "Epoch 220/1000, Cost: 7.5486\n",
+      " and the parameters are [-2.11036333  2.96134994] -3.7369813659210935 ;\n",
+      "Epoch 220/1000, Cost: 7.4781\n",
+      " and the parameters are [-2.11041869  2.9612478 ] -3.7370377566329256 ;\n",
+      "Epoch 220/1000, Cost: 3.5174\n",
+      " and the parameters are [-2.11047577  2.96132812] -3.737013322755205 ;\n",
+      "Epoch 220/1000, Cost: 2.1335\n",
+      " and the parameters are [-2.11047674  2.96139154] -3.737021179678258 ;\n",
+      "Epoch 220/1000, Cost: 4.9714\n",
+      " and the parameters are [-2.11047731  2.96150241] -3.7369901097858986 ;\n",
+      "Epoch 220/1000, Cost: 3.7010\n",
+      " and the parameters are [-2.11058787  2.96145513] -3.7370187466019558 ;\n",
+      "Epoch 220/1000, Cost: 7.4564\n",
+      " and the parameters are [-2.11052673  2.96141086] -3.737123814625494 ;\n",
+      "Epoch 220/1000, Cost: 4.3222\n",
+      " and the parameters are [-2.11056541  2.96152198] -3.737071970165472 ;\n",
+      "Epoch 220/1000, Cost: 3.2419\n",
+      " and the parameters are [-2.11052103  2.9614819 ] -3.7371781915661435 ;\n",
+      "Epoch 220/1000, Cost: 4.0767\n",
+      " and the parameters are [-2.11058035  2.96141854] -3.737254846533082 ;\n",
+      "Epoch 220/1000, Cost: 5.3504\n",
+      " and the parameters are [-2.11050777  2.96148969] -3.7373024823940173 ;\n",
+      "Epoch 220/1000, Cost: 2.4727\n",
+      " and the parameters are [-2.11046065  2.9616336 ] -3.7372781986474033 ;\n",
+      "Epoch 220/1000, Cost: 3.8653\n",
+      " and the parameters are [-2.11042829  2.96163657] -3.737350000965808 ;\n",
+      "Epoch 220/1000, Cost: 2.7519\n",
+      " and the parameters are [-2.1104029   2.96170924] -3.7373649552517354 ;\n",
+      "Epoch 220/1000, Cost: 2.1528\n",
+      " and the parameters are [-2.11048155  2.96170502] -3.737370097650748 ;\n",
+      "Epoch 220/1000, Cost: 3.0022\n",
+      " and the parameters are [-2.11052757  2.96176284] -3.7373509312049498 ;\n",
+      "Epoch 220/1000, Cost: 3.6034\n",
+      " and the parameters are [-2.11054155  2.96185798] -3.737329992092502 ;\n",
+      "Epoch 220/1000, Cost: 4.0125\n",
+      " and the parameters are [-2.11051568  2.96187098] -3.7373935699863363 ;\n",
+      "Epoch 220/1000, Cost: 5.5479\n",
+      " and the parameters are [-2.11047803  2.96181397] -3.737520908707189 ;\n",
+      "Epoch 220/1000, Cost: 6.1282\n",
+      " and the parameters are [-2.11044568  2.96197734] -3.737450795637628 ;\n",
+      "Epoch 220/1000, Cost: 2.1902\n",
+      " and the parameters are [-2.11042566  2.96204648] -3.737470641013733 ;\n",
+      "Epoch 220/1000, Cost: 4.7584\n",
+      " and the parameters are [-2.11054237  2.96203542] -3.7374722199808854 ;\n",
+      "Epoch 220/1000, Cost: 2.9264\n",
+      " and the parameters are [-2.11056696  2.96201003] -3.737535100870403 ;\n",
+      "Epoch 220/1000, Cost: 3.9262\n",
+      " and the parameters are [-2.11055209  2.96209501] -3.7375469759334603 ;\n",
+      "Epoch 220/1000, Cost: 2.3918\n",
+      " and the parameters are [-2.11056582  2.96217066] -3.7375255470985675 ;\n",
+      "Epoch 220/1000, Cost: 3.5793\n",
+      " and the parameters are [-2.11053788  2.96214446] -3.737620062629601 ;\n",
+      "Epoch 220/1000, Cost: 4.0303\n",
+      " and the parameters are [-2.11064101  2.96207925] -3.73767195148488 ;\n",
+      "Epoch 220/1000, Cost: 3.3339\n",
+      " and the parameters are [-2.11068005  2.96217223] -3.7376403293909988 ;\n",
+      "Epoch 220/1000, Cost: 4.7709\n",
+      " and the parameters are [-2.11063558  2.96236771] -3.7375543304888446 ;\n",
+      "Epoch 220/1000, Cost: 3.5763\n",
+      " and the parameters are [-2.11062006  2.96239032] -3.7375937009727793 ;\n",
+      "Epoch 220/1000, Cost: 4.2023\n",
+      " and the parameters are [-2.11060234  2.96239195] -3.737662832923049 ;\n",
+      "Epoch 220/1000, Cost: 5.1852\n",
+      " and the parameters are [-2.1106486  2.9624764] -3.7376571018694205 ;\n",
+      "Epoch 220/1000, Cost: 3.0779\n",
+      " and the parameters are [-2.11063178  2.96258875] -3.7376384550540354 ;\n",
+      "Epoch 220/1000, Cost: 3.7662\n",
+      " and the parameters are [-2.11060375  2.96262939] -3.737667942499741 ;\n",
+      "Epoch 220/1000, Cost: 4.7503\n",
+      " and the parameters are [-2.11060311  2.96260326] -3.7377385810655603 ;\n",
+      "Epoch 220/1000, Cost: 4.2849\n",
+      " and the parameters are [-2.11061445  2.96263677] -3.7377713138223263 ;\n",
+      "Epoch 220/1000, Cost: 4.1400\n",
+      " and the parameters are [-2.11061264  2.96279012] -3.7377090963948216 ;\n",
+      "Epoch 220/1000, Cost: 5.1257\n",
+      " and the parameters are [-2.11065234  2.96267898] -3.737830203992437 ;\n",
+      "Epoch 220/1000, Cost: 4.5881\n",
+      " and the parameters are [-2.11068032  2.96279122] -3.737804156004567 ;\n",
+      "Epoch 220/1000, Cost: 3.8004\n",
+      " and the parameters are [-2.11075048  2.96272405] -3.737877791499435 ;\n",
+      "Epoch 220/1000, Cost: 5.0377\n",
+      " and the parameters are [-2.11066478  2.96278858] -3.7379468255651753 ;\n",
+      "Epoch 220/1000, Cost: 3.2982\n",
+      " and the parameters are [-2.11062553  2.96290981] -3.7379413596222206 ;\n",
+      "Epoch 220/1000, Cost: 6.3498\n",
+      " and the parameters are [-2.11066298  2.96296746] -3.737924664131712 ;\n",
+      "Epoch 220/1000, Cost: 3.4978\n",
+      " and the parameters are [-2.11065378  2.96299277] -3.7379757790329573 ;\n",
+      "Epoch 220/1000, Cost: 4.5207\n",
+      " and the parameters are [-2.11071314  2.96305453] -3.7379629907927714 ;\n",
+      "Epoch 220/1000, Cost: 1.7299\n",
+      " and the parameters are [-2.11073701  2.96308432] -3.737982813733456 ;\n",
+      "Epoch 220/1000, Cost: 1.7437\n",
+      " and the parameters are [-2.11073428  2.96314743] -3.7379881389975895 ;\n",
+      "Epoch 220/1000, Cost: 10.1795\n",
+      " and the parameters are [-2.11073867  2.96305635] -3.7380692755339733 ;\n",
+      "Epoch 220/1000, Cost: 4.7957\n",
+      " and the parameters are [-2.11072145  2.96308325] -3.738114624693437 ;\n",
+      "Epoch 220/1000, Cost: 7.0475\n",
+      " and the parameters are [-2.11080647  2.96306448] -3.738102669268927 ;\n",
+      "Epoch 220/1000, Cost: 5.8025\n",
+      " and the parameters are [-2.11077309  2.96302196] -3.738198880496553 ;\n",
+      "Epoch 220/1000, Cost: 4.3348\n",
+      " and the parameters are [-2.11076879  2.96316489] -3.738144125971145 ;\n",
+      "Epoch 220/1000, Cost: 3.4348\n",
+      " and the parameters are [-2.11077476  2.96311681] -3.738241045342182 ;\n",
+      "Epoch 220/1000, Cost: 2.8628\n",
+      " and the parameters are [-2.11072141  2.96311431] -3.7383281185492314 ;\n",
+      "Epoch 220/1000, Cost: 3.3793\n",
+      " and the parameters are [-2.11075402  2.96311449] -3.7383829629703906 ;\n",
+      "Epoch 220/1000, Cost: 4.3973\n",
+      " and the parameters are [-2.11067488  2.96311306] -3.7384780770391695 ;\n",
+      "Epoch 220/1000, Cost: 4.9759\n",
+      " and the parameters are [-2.11073556  2.96305055] -3.7385459585297123 ;\n",
+      "Epoch 220/1000, Cost: 3.3161\n",
+      " and the parameters are [-2.11077965  2.96298293] -3.7386288633413396 ;\n",
+      "Epoch 220/1000, Cost: 6.7529\n",
+      " and the parameters are [-2.11095793  2.96266501] -3.73877634788609 ;\n",
+      "Epoch 220/1000, Cost: 1.8521\n",
+      " and the parameters are [-2.11096867  2.96273548] -3.738770591964482 ;\n",
+      "Epoch 220/1000, Cost: 4.8693\n",
+      " and the parameters are [-2.11102228  2.96275505] -3.7387713003414667 ;\n",
+      "Epoch 220/1000, Cost: 3.9703\n",
+      " and the parameters are [-2.11099727  2.96285337] -3.7387661247853474 ;\n",
+      "Epoch 220/1000, Cost: 4.3282\n",
+      " and the parameters are [-2.11103455  2.96290809] -3.7387761854335575 ;\n",
+      "Epoch 220/1000, Cost: 2.8588\n",
+      " and the parameters are [-2.11106913  2.9629201 ] -3.7388086769859545 ;\n",
+      "Epoch 220/1000, Cost: 3.5640\n",
+      " and the parameters are [-2.11107205  2.96301091] -3.7388121170321478 ;\n",
+      "Epoch 220/1000, Cost: 6.9561\n",
+      " and the parameters are [-2.11104442  2.96302146] -3.738855155591712 ;\n",
+      "Epoch 220/1000, Cost: 4.5008\n",
+      " and the parameters are [-2.11105662  2.96310774] -3.738844056273327 ;\n",
+      "Epoch 220/1000, Cost: 6.5041\n",
+      " and the parameters are [-2.11108549  2.96314683] -3.7388006422860305 ;\n",
+      "Epoch 220/1000, Cost: 4.0620\n",
+      " and the parameters are [-2.11106082  2.96316896] -3.7388539300383585 ;\n",
+      "Epoch 220/1000, Cost: 5.9068\n",
+      " and the parameters are [-2.11101907  2.96308009] -3.7389737816709427 ;\n",
+      "Epoch 220/1000, Cost: 3.2687\n",
+      " and the parameters are [-2.11104388  2.96309169] -3.7389798800432996 ;\n",
+      "Epoch 220/1000, Cost: 3.7017\n",
+      " and the parameters are [-2.1109975   2.96324717] -3.7389501605292486 ;\n",
+      "Epoch 220/1000, Cost: 2.9233\n",
+      " and the parameters are [-2.1110192   2.96332933] -3.7389213092566638 ;\n",
+      "Epoch 220/1000, Cost: 6.0556\n",
+      " and the parameters are [-2.11112187  2.96320579] -3.738988125854019 ;\n",
+      "Epoch 220/1000, Cost: 3.9014\n",
+      " and the parameters are [-2.11110819  2.96323937] -3.7390402384461527 ;\n",
+      "Epoch 220/1000, Cost: 4.0801\n",
+      " and the parameters are [-2.11110311  2.96321195] -3.7391102875263234 ;\n",
+      "Epoch 220/1000, Cost: 2.4437\n",
+      " and the parameters are [-2.11109397  2.96326201] -3.7391456302587627 ;\n",
+      "Epoch 220/1000, Cost: 5.0361\n",
+      " and the parameters are [-2.11112536  2.96318832] -3.739230145253373 ;\n",
+      "Epoch 220/1000, Cost: 3.0529\n",
+      " and the parameters are [-2.11110001  2.96323773] -3.739272917245045 ;\n",
+      "Epoch 220/1000, Cost: 4.4550\n",
+      " and the parameters are [-2.11114542  2.96314599] -3.7393895489866336 ;\n",
+      "Epoch 220/1000, Cost: 4.8398\n",
+      " and the parameters are [-2.11123839  2.9630193 ] -3.7394817748028726 ;\n",
+      "Epoch 220/1000, Cost: 4.2677\n",
+      " and the parameters are [-2.11134228  2.96297252] -3.739500723243345 ;\n",
+      "Epoch 220/1000, Cost: 5.7451\n",
+      " and the parameters are [-2.11139063  2.96285403] -3.7395936364586233 ;\n",
+      "Epoch 220/1000, Cost: 2.1912\n",
+      " and the parameters are [-2.11146081  2.96285991] -3.739609026048803 ;\n",
+      "Epoch 220/1000, Cost: 8.5680\n",
+      " and the parameters are [-2.11151382  2.96284451] -3.7396112485750668 ;\n",
+      "Epoch 220/1000, Cost: 2.5232\n",
+      " and the parameters are [-2.11152706  2.96292207] -3.7396022828006847 ;\n",
+      "Epoch 230/1000, Cost: 1.5349\n",
+      " and the parameters are [-2.14119101  2.99894773] -3.7923366028555097 ;\n",
+      "Epoch 230/1000, Cost: 5.2681\n",
+      " and the parameters are [-2.14121999  2.99904005] -3.792278729597684 ;\n",
+      "Epoch 230/1000, Cost: 4.9066\n",
+      " and the parameters are [-2.14131148  2.99894251] -3.7923652819988947 ;\n",
+      "Epoch 230/1000, Cost: 3.2657\n",
+      " and the parameters are [-2.14135027  2.99895512] -3.7923946490618548 ;\n",
+      "Epoch 230/1000, Cost: 3.6069\n",
+      " and the parameters are [-2.1413677   2.99905517] -3.792358513638744 ;\n",
+      "Epoch 230/1000, Cost: 3.7338\n",
+      " and the parameters are [-2.1413224   2.99916401] -3.79236609363451 ;\n",
+      "Epoch 230/1000, Cost: 3.8080\n",
+      " and the parameters are [-2.14136874  2.99911863] -3.79244449550819 ;\n",
+      "Epoch 230/1000, Cost: 4.4390\n",
+      " and the parameters are [-2.14133175  2.9993035 ] -3.792385464280741 ;\n",
+      "Epoch 230/1000, Cost: 2.3223\n",
+      " and the parameters are [-2.14138539  2.99932151] -3.792393648432353 ;\n",
+      "Epoch 230/1000, Cost: 4.7094\n",
+      " and the parameters are [-2.1414907   2.99926517] -3.792443742311932 ;\n",
+      "Epoch 230/1000, Cost: 7.0066\n",
+      " and the parameters are [-2.14151139  2.99910845] -3.792570407434652 ;\n",
+      "Epoch 230/1000, Cost: 2.7313\n",
+      " and the parameters are [-2.14149658  2.99910449] -3.792643546894197 ;\n",
+      "Epoch 230/1000, Cost: 2.8763\n",
+      " and the parameters are [-2.14150896  2.9991516 ] -3.7926671940758134 ;\n",
+      "Epoch 230/1000, Cost: 4.4316\n",
+      " and the parameters are [-2.1416186   2.99915347] -3.7926751338775704 ;\n",
+      "Epoch 230/1000, Cost: 2.1025\n",
+      " and the parameters are [-2.14162677  2.99918056] -3.792699266829049 ;\n",
+      "Epoch 230/1000, Cost: 2.3219\n",
+      " and the parameters are [-2.14165695  2.99925233] -3.7926821617895414 ;\n",
+      "Epoch 230/1000, Cost: 2.5560\n",
+      " and the parameters are [-2.14163112  2.9993133 ] -3.7927041257460323 ;\n",
+      "Epoch 230/1000, Cost: 4.3629\n",
+      " and the parameters are [-2.14162942  2.99935461] -3.792734961284611 ;\n",
+      "Epoch 230/1000, Cost: 4.5016\n",
+      " and the parameters are [-2.14164463  2.99938938] -3.792752653372949 ;\n",
+      "Epoch 230/1000, Cost: 5.3353\n",
+      " and the parameters are [-2.141708   2.9993739] -3.7927587755874677 ;\n",
+      "Epoch 230/1000, Cost: 3.2236\n",
+      " and the parameters are [-2.14170182  2.99943568] -3.7927712556506816 ;\n",
+      "Epoch 230/1000, Cost: 4.5823\n",
+      " and the parameters are [-2.14178245  2.99930018] -3.79289917797755 ;\n",
+      "Epoch 230/1000, Cost: 3.5859\n",
+      " and the parameters are [-2.14181148  2.99925056] -3.7929812749200558 ;\n",
+      "Epoch 230/1000, Cost: 3.6392\n",
+      " and the parameters are [-2.14181931  2.99923468] -3.793052559016852 ;\n",
+      "Epoch 230/1000, Cost: 5.1467\n",
+      " and the parameters are [-2.14191947  2.99920599] -3.7930782357897845 ;\n",
+      "Epoch 230/1000, Cost: 4.0889\n",
+      " and the parameters are [-2.14200276  2.99925836] -3.7930665440978117 ;\n",
+      "Epoch 230/1000, Cost: 4.0922\n",
+      " and the parameters are [-2.14201221  2.99931658] -3.793061771554549 ;\n",
+      "Epoch 230/1000, Cost: 3.6684\n",
+      " and the parameters are [-2.14203785  2.99926832] -3.793140842048638 ;\n",
+      "Epoch 230/1000, Cost: 2.8048\n",
+      " and the parameters are [-2.1420532   2.99929378] -3.793164543762886 ;\n",
+      "Epoch 230/1000, Cost: 4.7385\n",
+      " and the parameters are [-2.14206192  2.99934055] -3.7931822771704984 ;\n",
+      "Epoch 230/1000, Cost: 4.5663\n",
+      " and the parameters are [-2.14198396  2.99954787] -3.793123628364901 ;\n",
+      "Epoch 230/1000, Cost: 3.5996\n",
+      " and the parameters are [-2.14204175  2.99970208] -3.793022231568837 ;\n",
+      "Epoch 230/1000, Cost: 4.4686\n",
+      " and the parameters are [-2.1421162   2.99955218] -3.793151305974179 ;\n",
+      "Epoch 230/1000, Cost: 3.1885\n",
+      " and the parameters are [-2.14218216  2.99957021] -3.7931731983452064 ;\n",
+      "Epoch 230/1000, Cost: 2.6899\n",
+      " and the parameters are [-2.14219809  2.99963986] -3.793169689600935 ;\n",
+      "Epoch 230/1000, Cost: 4.1058\n",
+      " and the parameters are [-2.14227233  2.99958997] -3.793224094515977 ;\n",
+      "Epoch 230/1000, Cost: 4.2389\n",
+      " and the parameters are [-2.14231174  2.9995306 ] -3.7933224507241627 ;\n",
+      "Epoch 230/1000, Cost: 5.2086\n",
+      " and the parameters are [-2.14238769  2.99953861] -3.7933211762276047 ;\n",
+      "Epoch 230/1000, Cost: 2.9406\n",
+      " and the parameters are [-2.14239847  2.99965822] -3.7932794378097547 ;\n",
+      "Epoch 230/1000, Cost: 4.7398\n",
+      " and the parameters are [-2.14246716  2.99961096] -3.793345575039268 ;\n",
+      "Epoch 230/1000, Cost: 4.5875\n",
+      " and the parameters are [-2.14258909  2.99947746] -3.793429357877904 ;\n",
+      "Epoch 230/1000, Cost: 6.1919\n",
+      " and the parameters are [-2.14256556  2.99953305] -3.79344077865855 ;\n",
+      "Epoch 230/1000, Cost: 3.7029\n",
+      " and the parameters are [-2.14258209  2.99963528] -3.7934041562364653 ;\n",
+      "Epoch 230/1000, Cost: 5.1724\n",
+      " and the parameters are [-2.14275248  2.99950859] -3.793462240364727 ;\n",
+      "Epoch 230/1000, Cost: 6.4655\n",
+      " and the parameters are [-2.14287835  2.99925272] -3.7936413414026084 ;\n",
+      "Epoch 230/1000, Cost: 3.1208\n",
+      " and the parameters are [-2.14291709  2.99938402] -3.793580034149101 ;\n",
+      "Epoch 230/1000, Cost: 6.1432\n",
+      " and the parameters are [-2.14293288  2.99934167] -3.793643146326585 ;\n",
+      "Epoch 230/1000, Cost: 4.9166\n",
+      " and the parameters are [-2.14298402  2.99931886] -3.793675456052084 ;\n",
+      "Epoch 230/1000, Cost: 5.4486\n",
+      " and the parameters are [-2.14310909  2.9991364 ] -3.793783736797308 ;\n",
+      "Epoch 230/1000, Cost: 4.7155\n",
+      " and the parameters are [-2.14317096  2.99906824] -3.7938692552405553 ;\n",
+      "Epoch 230/1000, Cost: 2.9656\n",
+      " and the parameters are [-2.14320224  2.99913863] -3.793854863838372 ;\n",
+      "Epoch 230/1000, Cost: 5.8378\n",
+      " and the parameters are [-2.14317649  2.99919436] -3.793860349910198 ;\n",
+      "Epoch 230/1000, Cost: 2.4967\n",
+      " and the parameters are [-2.14321476  2.99920199] -3.7938883114652326 ;\n",
+      "Epoch 230/1000, Cost: 2.5076\n",
+      " and the parameters are [-2.14324628  2.9991896 ] -3.7939413441300163 ;\n",
+      "Epoch 230/1000, Cost: 6.1914\n",
+      " and the parameters are [-2.14322985  2.99912466] -3.7940588994918647 ;\n",
+      "Epoch 230/1000, Cost: 2.5919\n",
+      " and the parameters are [-2.14327033  2.99912313] -3.7940914773053795 ;\n",
+      "Epoch 230/1000, Cost: 2.7702\n",
+      " and the parameters are [-2.14325922  2.99925814] -3.7940411092996262 ;\n",
+      "Epoch 230/1000, Cost: 5.3351\n",
+      " and the parameters are [-2.14316364  2.99929172] -3.7941316670703076 ;\n",
+      "Epoch 230/1000, Cost: 2.7236\n",
+      " and the parameters are [-2.14318685  2.99933851] -3.7941528635903223 ;\n",
+      "Epoch 230/1000, Cost: 4.9908\n",
+      " and the parameters are [-2.14325782  2.99924156] -3.794253457344853 ;\n",
+      "Epoch 230/1000, Cost: 3.5793\n",
+      " and the parameters are [-2.1433174   2.99922935] -3.7942975023311933 ;\n",
+      "Epoch 230/1000, Cost: 2.6306\n",
+      " and the parameters are [-2.14332873  2.99925612] -3.7943388158075115 ;\n",
+      "Epoch 230/1000, Cost: 5.7026\n",
+      " and the parameters are [-2.14337691  2.99926876] -3.7943455028997546 ;\n",
+      "Epoch 230/1000, Cost: 5.3918\n",
+      " and the parameters are [-2.14332727  2.99939569] -3.7943212841096665 ;\n",
+      "Epoch 230/1000, Cost: 5.3610\n",
+      " and the parameters are [-2.14339238  2.99934815] -3.7943836663761847 ;\n",
+      "Epoch 230/1000, Cost: 2.3597\n",
+      " and the parameters are [-2.14344862  2.99937802] -3.7943867438475447 ;\n",
+      "Epoch 230/1000, Cost: 3.0990\n",
+      " and the parameters are [-2.14345737  2.99943558] -3.794405441559766 ;\n",
+      "Epoch 230/1000, Cost: 6.6516\n",
+      " and the parameters are [-2.14347657  2.99940667] -3.7944429894462286 ;\n",
+      "Epoch 230/1000, Cost: 3.8462\n",
+      " and the parameters are [-2.14347595  2.99947728] -3.7944498493580667 ;\n",
+      "Epoch 230/1000, Cost: 3.4223\n",
+      " and the parameters are [-2.14351164  2.99954021] -3.7944367977801914 ;\n",
+      "Epoch 230/1000, Cost: 3.0239\n",
+      " and the parameters are [-2.14345883  2.99958453] -3.794478125134206 ;\n",
+      "Epoch 230/1000, Cost: 2.0204\n",
+      " and the parameters are [-2.14347415  2.99962583] -3.7944953782457813 ;\n",
+      "Epoch 230/1000, Cost: 4.7744\n",
+      " and the parameters are [-2.14350422  2.99976866] -3.7944078094868035 ;\n",
+      "Epoch 230/1000, Cost: 4.1226\n",
+      " and the parameters are [-2.14360399  2.99980826] -3.7943733748891506 ;\n",
+      "Epoch 230/1000, Cost: 3.2580\n",
+      " and the parameters are [-2.1435998  2.999887 ] -3.794369331984726 ;\n",
+      "Epoch 230/1000, Cost: 3.6439\n",
+      " and the parameters are [-2.14360686  2.99992147] -3.794401026297606 ;\n",
+      "Epoch 230/1000, Cost: 2.6789\n",
+      " and the parameters are [-2.1436299   2.99999337] -3.794385683738305 ;\n",
+      "Epoch 230/1000, Cost: 7.1860\n",
+      " and the parameters are [-2.14359742  3.00002954] -3.794443357636099 ;\n",
+      "Epoch 230/1000, Cost: 3.8451\n",
+      " and the parameters are [-2.14359582  3.00010707] -3.7944470851381524 ;\n",
+      "Epoch 230/1000, Cost: 3.1676\n",
+      " and the parameters are [-2.1436576   3.00007378] -3.794502965228916 ;\n",
+      "Epoch 230/1000, Cost: 2.6244\n",
+      " and the parameters are [-2.14369791  3.00019666] -3.7944402546351164 ;\n",
+      "Epoch 230/1000, Cost: 7.1161\n",
+      " and the parameters are [-2.14357794  3.00021918] -3.794511923043972 ;\n",
+      "Epoch 230/1000, Cost: 3.6951\n",
+      " and the parameters are [-2.14359266  3.00040883] -3.7944136845407463 ;\n",
+      "Epoch 230/1000, Cost: 3.6606\n",
+      " and the parameters are [-2.1437064  3.0002457] -3.7945009023713796 ;\n",
+      "Epoch 230/1000, Cost: 2.7657\n",
+      " and the parameters are [-2.14374761  3.00026188] -3.7945256853159988 ;\n",
+      "Epoch 230/1000, Cost: 2.1403\n",
+      " and the parameters are [-2.14379374  3.00029079] -3.7945288506879846 ;\n",
+      "Epoch 230/1000, Cost: 2.5933\n",
+      " and the parameters are [-2.14386603  3.00037261] -3.7944783046633668 ;\n",
+      "Epoch 230/1000, Cost: 5.5866\n",
+      " and the parameters are [-2.14394504  3.00041643] -3.794459879199961 ;\n",
+      "Epoch 230/1000, Cost: 2.6119\n",
+      " and the parameters are [-2.14393329  3.00046321] -3.794484021776529 ;\n",
+      "Epoch 230/1000, Cost: 4.6267\n",
+      " and the parameters are [-2.14400893  3.00038462] -3.7945259210676334 ;\n",
+      "Epoch 230/1000, Cost: 6.0146\n",
+      " and the parameters are [-2.14402506  3.00026738] -3.794649728484874 ;\n",
+      "Epoch 230/1000, Cost: 2.1872\n",
+      " and the parameters are [-2.14400911  3.00040296] -3.7946109728991755 ;\n",
+      "Epoch 230/1000, Cost: 3.6759\n",
+      " and the parameters are [-2.14398303  3.00047073] -3.7946223549242237 ;\n",
+      "Epoch 230/1000, Cost: 3.4696\n",
+      " and the parameters are [-2.14391659  3.00048165] -3.79471534067075 ;\n",
+      "Epoch 230/1000, Cost: 3.4131\n",
+      " and the parameters are [-2.1439174   3.00055516] -3.794733989230074 ;\n",
+      "Epoch 230/1000, Cost: 2.4114\n",
+      " and the parameters are [-2.14394549  3.0005165 ] -3.794815415780919 ;\n",
+      "Epoch 230/1000, Cost: 3.2871\n",
+      " and the parameters are [-2.14395945  3.00052522] -3.7948612462396234 ;\n",
+      "Epoch 230/1000, Cost: 3.3124\n",
+      " and the parameters are [-2.14394288  3.00060007] -3.7948748651810598 ;\n",
+      "Epoch 230/1000, Cost: 6.4229\n",
+      " and the parameters are [-2.14394061  3.00064753] -3.7948399906977195 ;\n",
+      "Epoch 230/1000, Cost: 4.3492\n",
+      " and the parameters are [-2.14391719  3.00059995] -3.7949340114574115 ;\n",
+      "Epoch 230/1000, Cost: 7.4702\n",
+      " and the parameters are [-2.14397439  3.00044763] -3.795044405993332 ;\n",
+      "Epoch 230/1000, Cost: 5.1672\n",
+      " and the parameters are [-2.1439288   3.00057623] -3.7950213725551722 ;\n",
+      "Epoch 230/1000, Cost: 3.9827\n",
+      " and the parameters are [-2.14396217  3.00073335] -3.7949411872374763 ;\n",
+      "Epoch 230/1000, Cost: 5.1988\n",
+      " and the parameters are [-2.14395533  3.00088482] -3.794847729342862 ;\n",
+      "Epoch 230/1000, Cost: 4.5552\n",
+      " and the parameters are [-2.14389433  3.00102906] -3.7947985638294375 ;\n",
+      "Epoch 230/1000, Cost: 4.3909\n",
+      " and the parameters are [-2.143956    3.00100779] -3.794837400109187 ;\n",
+      "Epoch 230/1000, Cost: 3.7839\n",
+      " and the parameters are [-2.14393928  3.00097305] -3.794915382370121 ;\n",
+      "Epoch 230/1000, Cost: 3.1944\n",
+      " and the parameters are [-2.14396232  3.00097128] -3.7949715191725937 ;\n",
+      "Epoch 230/1000, Cost: 4.4005\n",
+      " and the parameters are [-2.14396359  3.00098597] -3.795028314944251 ;\n",
+      "Epoch 230/1000, Cost: 5.6028\n",
+      " and the parameters are [-2.14406696  3.0008196 ] -3.7951386674859173 ;\n",
+      "Epoch 230/1000, Cost: 5.6933\n",
+      " and the parameters are [-2.14401959  3.0007703 ] -3.7952254739339955 ;\n",
+      "Epoch 230/1000, Cost: 6.9916\n",
+      " and the parameters are [-2.1440258   3.00092763] -3.7951400379669202 ;\n",
+      "Epoch 230/1000, Cost: 4.4770\n",
+      " and the parameters are [-2.14402541  3.0009878 ] -3.7951525153958476 ;\n",
+      "Epoch 230/1000, Cost: 6.3521\n",
+      " and the parameters are [-2.14399038  3.00093095] -3.7952757192778765 ;\n",
+      "Epoch 230/1000, Cost: 1.9302\n",
+      " and the parameters are [-2.14399962  3.00102258] -3.795258458244189 ;\n",
+      "Epoch 230/1000, Cost: 5.7771\n",
+      " and the parameters are [-2.14400561  3.00102415] -3.79530065676597 ;\n",
+      "Epoch 230/1000, Cost: 7.2910\n",
+      " and the parameters are [-2.14412784  3.00089661] -3.795358585931752 ;\n",
+      "Epoch 230/1000, Cost: 4.0195\n",
+      " and the parameters are [-2.14415619  3.0008692 ] -3.795434884531312 ;\n",
+      "Epoch 230/1000, Cost: 2.7788\n",
+      " and the parameters are [-2.1441398   3.00088261] -3.7954891603058565 ;\n",
+      "Epoch 230/1000, Cost: 3.5965\n",
+      " and the parameters are [-2.14417887  3.00094138] -3.7954769255378054 ;\n",
+      "Epoch 230/1000, Cost: 5.6839\n",
+      " and the parameters are [-2.1441583   3.00101546] -3.7954906483762114 ;\n",
+      "Epoch 230/1000, Cost: 2.7034\n",
+      " and the parameters are [-2.14410105  3.00114381] -3.795495831301098 ;\n",
+      "Epoch 230/1000, Cost: 2.7138\n",
+      " and the parameters are [-2.14404057  3.00125119] -3.7955061483529398 ;\n",
+      "Epoch 230/1000, Cost: 2.1270\n",
+      " and the parameters are [-2.1440256   3.00134725] -3.79549336707041 ;\n",
+      "Epoch 230/1000, Cost: 4.0282\n",
+      " and the parameters are [-2.14394963  3.00148854] -3.7954959663353267 ;\n",
+      "Epoch 230/1000, Cost: 2.6774\n",
+      " and the parameters are [-2.14395467  3.00150792] -3.7955439179191273 ;\n",
+      "Epoch 230/1000, Cost: 2.8395\n",
+      " and the parameters are [-2.14395098  3.00158065] -3.79554569205815 ;\n",
+      "Epoch 230/1000, Cost: 5.0874\n",
+      " and the parameters are [-2.14398669  3.00161848] -3.7955419026345454 ;\n",
+      "Epoch 230/1000, Cost: 5.0500\n",
+      " and the parameters are [-2.14406931  3.00147159] -3.7956375924391716 ;\n",
+      "Epoch 230/1000, Cost: 4.0843\n",
+      " and the parameters are [-2.14406708  3.0014564 ] -3.795699126975744 ;\n",
+      "Epoch 230/1000, Cost: 4.5215\n",
+      " and the parameters are [-2.14414665  3.00129872] -3.795793555425993 ;\n",
+      "Epoch 230/1000, Cost: 3.5696\n",
+      " and the parameters are [-2.14412809  3.00127577] -3.795874533091078 ;\n",
+      "Epoch 230/1000, Cost: 2.1467\n",
+      " and the parameters are [-2.14415306  3.00136164] -3.795855184677685 ;\n",
+      "Epoch 230/1000, Cost: 4.8345\n",
+      " and the parameters are [-2.14413419  3.00138645] -3.7959063867798766 ;\n",
+      "Epoch 230/1000, Cost: 6.6181\n",
+      " and the parameters are [-2.144112    3.00127797] -3.7960270672506233 ;\n",
+      "Epoch 230/1000, Cost: 1.8425\n",
+      " and the parameters are [-2.14412753  3.00132164] -3.796036953973176 ;\n",
+      "Epoch 230/1000, Cost: 2.5096\n",
+      " and the parameters are [-2.14410588  3.0013929 ] -3.7960420216494675 ;\n",
+      "Epoch 230/1000, Cost: 3.1970\n",
+      " and the parameters are [-2.14409763  3.00147084] -3.796053459720241 ;\n",
+      "Epoch 230/1000, Cost: 2.6914\n",
+      " and the parameters are [-2.14409538  3.0015749 ] -3.7960367084208446 ;\n",
+      "Epoch 230/1000, Cost: 4.1517\n",
+      " and the parameters are [-2.14410288  3.00150948] -3.796134629702017 ;\n",
+      "Epoch 230/1000, Cost: 7.6770\n",
+      " and the parameters are [-2.14401484  3.0015454 ] -3.796163649247024 ;\n",
+      "Epoch 230/1000, Cost: 4.8722\n",
+      " and the parameters are [-2.14403167  3.00151278] -3.796229460528827 ;\n",
+      "Epoch 230/1000, Cost: 1.4291\n",
+      " and the parameters are [-2.14401309  3.00160339] -3.796216033371374 ;\n",
+      "Epoch 230/1000, Cost: 3.2847\n",
+      " and the parameters are [-2.14405226  3.0016554 ] -3.796198929416008 ;\n",
+      "Epoch 230/1000, Cost: 3.2320\n",
+      " and the parameters are [-2.144057    3.00162796] -3.7962699273541567 ;\n",
+      "Epoch 230/1000, Cost: 2.5426\n",
+      " and the parameters are [-2.14409902  3.00164801] -3.7962891921701005 ;\n",
+      "Epoch 230/1000, Cost: 4.9715\n",
+      " and the parameters are [-2.1441815   3.00159786] -3.796334032461877 ;\n",
+      "Epoch 230/1000, Cost: 6.0157\n",
+      " and the parameters are [-2.14419226  3.0016561 ] -3.7963488102506253 ;\n",
+      "Epoch 230/1000, Cost: 3.4844\n",
+      " and the parameters are [-2.14420069  3.00163297] -3.796423908583725 ;\n",
+      "Epoch 230/1000, Cost: 6.3252\n",
+      " and the parameters are [-2.14416753  3.00168505] -3.7964407177128927 ;\n",
+      "Epoch 230/1000, Cost: 6.2289\n",
+      " and the parameters are [-2.1442441   3.00163535] -3.796480215902493 ;\n",
+      "Epoch 230/1000, Cost: 2.6021\n",
+      " and the parameters are [-2.14426214  3.00172756] -3.7964541217776677 ;\n",
+      "Epoch 230/1000, Cost: 2.5561\n",
+      " and the parameters are [-2.14424603  3.00180783] -3.796459428937024 ;\n",
+      "Epoch 230/1000, Cost: 4.0529\n",
+      " and the parameters are [-2.14427374  3.00182032] -3.796480374592731 ;\n",
+      "Epoch 230/1000, Cost: 3.8412\n",
+      " and the parameters are [-2.14430422  3.00180427] -3.796537435842503 ;\n",
+      "Epoch 230/1000, Cost: 2.5464\n",
+      " and the parameters are [-2.14429445  3.00181484] -3.7965884297293706 ;\n",
+      "Epoch 230/1000, Cost: 3.6333\n",
+      " and the parameters are [-2.14428421  3.00173076] -3.796693966946039 ;\n",
+      "Epoch 230/1000, Cost: 2.9117\n",
+      " and the parameters are [-2.14432284  3.00166783] -3.7967833765406174 ;\n",
+      "Epoch 230/1000, Cost: 2.2237\n",
+      " and the parameters are [-2.14429832  3.0017284 ] -3.79680438350099 ;\n",
+      "Epoch 230/1000, Cost: 6.2573\n",
+      " and the parameters are [-2.14425986  3.00177349] -3.796859859468537 ;\n",
+      "Epoch 230/1000, Cost: 6.6459\n",
+      " and the parameters are [-2.14423853  3.00188958] -3.796814441366196 ;\n",
+      "Epoch 230/1000, Cost: 3.5502\n",
+      " and the parameters are [-2.14414697  3.00197298] -3.7968657796591385 ;\n",
+      "Epoch 230/1000, Cost: 5.1895\n",
+      " and the parameters are [-2.14417072  3.00201482] -3.7968635967500575 ;\n",
+      "Epoch 230/1000, Cost: 4.5793\n",
+      " and the parameters are [-2.14412378  3.00216728] -3.796841748476399 ;\n",
+      "Epoch 230/1000, Cost: 4.4346\n",
+      " and the parameters are [-2.144046    3.00238813] -3.7967658884417137 ;\n",
+      "Epoch 230/1000, Cost: 3.2897\n",
+      " and the parameters are [-2.14408704  3.00238148] -3.7968101946852646 ;\n",
+      "Epoch 230/1000, Cost: 3.0350\n",
+      " and the parameters are [-2.14413887  3.0023468 ] -3.7968648397059876 ;\n",
+      "Epoch 230/1000, Cost: 4.5568\n",
+      " and the parameters are [-2.14412655  3.00234625] -3.7969029485475527 ;\n",
+      "Epoch 230/1000, Cost: 3.8176\n",
+      " and the parameters are [-2.14419717  3.00237749] -3.7969004043342 ;\n",
+      "Epoch 230/1000, Cost: 3.7979\n",
+      " and the parameters are [-2.1442399   3.00233273] -3.7969742543283407 ;\n",
+      "Epoch 230/1000, Cost: 4.4633\n",
+      " and the parameters are [-2.14423805  3.0024788 ] -3.79692133205699 ;\n",
+      "Epoch 230/1000, Cost: 9.0297\n",
+      " and the parameters are [-2.14419717  3.00257961] -3.7969000108522657 ;\n",
+      "Epoch 230/1000, Cost: 3.5476\n",
+      " and the parameters are [-2.14417377  3.00271666] -3.796872546252192 ;\n",
+      "Epoch 230/1000, Cost: 5.5891\n",
+      " and the parameters are [-2.14415438  3.00264106] -3.7969943544269764 ;\n",
+      "Epoch 230/1000, Cost: 2.4143\n",
+      " and the parameters are [-2.14415378  3.00266617] -3.7970376311251264 ;\n",
+      "Epoch 230/1000, Cost: 4.1545\n",
+      " and the parameters are [-2.14418896  3.00260408] -3.7971207607755932 ;\n",
+      "Epoch 230/1000, Cost: 4.0181\n",
+      " and the parameters are [-2.14426845  3.00251443] -3.7972206905715464 ;\n",
+      "Epoch 230/1000, Cost: 3.1686\n",
+      " and the parameters are [-2.14426287  3.00245134] -3.7973121549481044 ;\n",
+      "Epoch 230/1000, Cost: 1.9421\n",
+      " and the parameters are [-2.14428494  3.00254238] -3.797292128894459 ;\n",
+      "Epoch 230/1000, Cost: 4.3327\n",
+      " and the parameters are [-2.14436694  3.0024225 ] -3.797373475391627 ;\n",
+      "Epoch 230/1000, Cost: 2.1471\n",
+      " and the parameters are [-2.144393    3.00251534] -3.7973253727893694 ;\n",
+      "Epoch 230/1000, Cost: 3.5532\n",
+      " and the parameters are [-2.14440811  3.00256853] -3.7973470492213415 ;\n",
+      "Epoch 230/1000, Cost: 4.3985\n",
+      " and the parameters are [-2.14440809  3.00254757] -3.797406211241878 ;\n",
+      "Epoch 230/1000, Cost: 3.6849\n",
+      " and the parameters are [-2.14443565  3.00263569] -3.7973756738494204 ;\n",
+      "Epoch 230/1000, Cost: 3.3937\n",
+      " and the parameters are [-2.14448091  3.00266199] -3.7973943663946863 ;\n",
+      "Epoch 230/1000, Cost: 6.1507\n",
+      " and the parameters are [-2.14438883  3.00263294] -3.7974960410696696 ;\n",
+      "Epoch 230/1000, Cost: 6.8044\n",
+      " and the parameters are [-2.14453832  3.00241803] -3.7976406081970038 ;\n",
+      "Epoch 230/1000, Cost: 3.9332\n",
+      " and the parameters are [-2.14457434  3.00242922] -3.797664569419566 ;\n",
+      "Epoch 230/1000, Cost: 3.3729\n",
+      " and the parameters are [-2.14457612  3.00250912] -3.7976526992776143 ;\n",
+      "Epoch 230/1000, Cost: 4.8495\n",
+      " and the parameters are [-2.14456442  3.00255975] -3.7976340512492452 ;\n",
+      "Epoch 230/1000, Cost: 3.6675\n",
+      " and the parameters are [-2.14459226  3.00260587] -3.7976259088901236 ;\n",
+      "Epoch 230/1000, Cost: 7.0604\n",
+      " and the parameters are [-2.14456799  3.00266799] -3.797620885599888 ;\n",
+      "Epoch 230/1000, Cost: 2.9753\n",
+      " and the parameters are [-2.14459627  3.00273518] -3.797615816800437 ;\n",
+      "Epoch 230/1000, Cost: 4.0150\n",
+      " and the parameters are [-2.14450693  3.00274358] -3.7977109270105407 ;\n",
+      "Epoch 230/1000, Cost: 5.1611\n",
+      " and the parameters are [-2.14452229  3.00276437] -3.7977560684457945 ;\n",
+      "Epoch 230/1000, Cost: 4.4361\n",
+      " and the parameters are [-2.14446067  3.00277182] -3.7978473919709725 ;\n",
+      "Epoch 230/1000, Cost: 2.3644\n",
+      " and the parameters are [-2.14446035  3.00281975] -3.7978746844136424 ;\n",
+      "Epoch 230/1000, Cost: 3.6749\n",
+      " and the parameters are [-2.14444538  3.00281291] -3.7979489090411978 ;\n",
+      "Epoch 230/1000, Cost: 5.4063\n",
+      " and the parameters are [-2.14440735  3.0029098 ] -3.7979516185019326 ;\n",
+      "Epoch 230/1000, Cost: 5.8595\n",
+      " and the parameters are [-2.14440624  3.00283463] -3.7980608461239944 ;\n",
+      "Epoch 240/1000, Cost: 5.6584\n",
+      " and the parameters are [-2.17301287  3.03741012] -3.8488034949274588 ;\n",
+      "Epoch 240/1000, Cost: 3.3924\n",
+      " and the parameters are [-2.1729261  3.0375158] -3.8488297111024727 ;\n",
+      "Epoch 240/1000, Cost: 2.5324\n",
+      " and the parameters are [-2.17292557  3.03755713] -3.848854818965528 ;\n",
+      "Epoch 240/1000, Cost: 4.7184\n",
+      " and the parameters are [-2.17297135  3.03751122] -3.8489159201122045 ;\n",
+      "Epoch 240/1000, Cost: 2.6299\n",
+      " and the parameters are [-2.17298203  3.03762042] -3.848895416546887 ;\n",
+      "Epoch 240/1000, Cost: 3.4491\n",
+      " and the parameters are [-2.17294364  3.03774973] -3.8488787172131613 ;\n",
+      "Epoch 240/1000, Cost: 3.3492\n",
+      " and the parameters are [-2.17295912  3.03779703] -3.8488897498492967 ;\n",
+      "Epoch 240/1000, Cost: 4.2438\n",
+      " and the parameters are [-2.17297414  3.0377575 ] -3.8489688146527814 ;\n",
+      "Epoch 240/1000, Cost: 3.6169\n",
+      " and the parameters are [-2.17298657  3.03776009] -3.849027681670255 ;\n",
+      "Epoch 240/1000, Cost: 2.1605\n",
+      " and the parameters are [-2.17300634  3.0377447 ] -3.8490765387305688 ;\n",
+      "Epoch 240/1000, Cost: 2.0548\n",
+      " and the parameters are [-2.1730524  3.0377646] -3.849095070791704 ;\n",
+      "Epoch 240/1000, Cost: 7.3467\n",
+      " and the parameters are [-2.17305632  3.03781335] -3.8490645824067777 ;\n",
+      "Epoch 240/1000, Cost: 4.4258\n",
+      " and the parameters are [-2.17305889  3.0377989 ] -3.84911175535293 ;\n",
+      "Epoch 240/1000, Cost: 3.0146\n",
+      " and the parameters are [-2.17314389  3.0378675 ] -3.8490735267382186 ;\n",
+      "Epoch 240/1000, Cost: 4.9446\n",
+      " and the parameters are [-2.17319823  3.03788761] -3.8490984434436797 ;\n",
+      "Epoch 240/1000, Cost: 2.6818\n",
+      " and the parameters are [-2.17325386  3.03793234] -3.849095663434669 ;\n",
+      "Epoch 240/1000, Cost: 3.4305\n",
+      " and the parameters are [-2.17325583  3.03799862] -3.8491117294659767 ;\n",
+      "Epoch 240/1000, Cost: 2.8152\n",
+      " and the parameters are [-2.17325262  3.03810029] -3.8491051176275803 ;\n",
+      "Epoch 240/1000, Cost: 3.7297\n",
+      " and the parameters are [-2.17330199  3.03812374] -3.849114631080323 ;\n",
+      "Epoch 240/1000, Cost: 2.8960\n",
+      " and the parameters are [-2.17333275  3.03818304] -3.8491065474577604 ;\n",
+      "Epoch 240/1000, Cost: 2.4357\n",
+      " and the parameters are [-2.17334479  3.03827138] -3.849080699837779 ;\n",
+      "Epoch 240/1000, Cost: 2.5413\n",
+      " and the parameters are [-2.17335556  3.03826549] -3.8491331325253175 ;\n",
+      "Epoch 240/1000, Cost: 2.6868\n",
+      " and the parameters are [-2.17333217  3.03825237] -3.849209828211071 ;\n",
+      "Epoch 240/1000, Cost: 3.2219\n",
+      " and the parameters are [-2.1733251   3.03826594] -3.849253533404137 ;\n",
+      "Epoch 240/1000, Cost: 2.7983\n",
+      " and the parameters are [-2.17337599  3.03821742] -3.84931312063304 ;\n",
+      "Epoch 240/1000, Cost: 3.1255\n",
+      " and the parameters are [-2.17340669  3.03830318] -3.849289881412875 ;\n",
+      "Epoch 240/1000, Cost: 4.5530\n",
+      " and the parameters are [-2.1733956   3.03833982] -3.849332878363189 ;\n",
+      "Epoch 240/1000, Cost: 3.1473\n",
+      " and the parameters are [-2.17339368  3.03832801] -3.8493897433189725 ;\n",
+      "Epoch 240/1000, Cost: 4.0221\n",
+      " and the parameters are [-2.17347264  3.03835635] -3.8493976810474706 ;\n",
+      "Epoch 240/1000, Cost: 4.4696\n",
+      " and the parameters are [-2.17349443  3.03834774] -3.849443465287853 ;\n",
+      "Epoch 240/1000, Cost: 10.1504\n",
+      " and the parameters are [-2.17350533  3.0383435 ] -3.8494416724979734 ;\n",
+      "Epoch 240/1000, Cost: 3.0049\n",
+      " and the parameters are [-2.17344209  3.03846527] -3.849434112100547 ;\n",
+      "Epoch 240/1000, Cost: 2.3841\n",
+      " and the parameters are [-2.17344685  3.03851091] -3.8494584506086507 ;\n",
+      "Epoch 240/1000, Cost: 4.8668\n",
+      " and the parameters are [-2.17353893  3.03849187] -3.849448602867422 ;\n",
+      "Epoch 240/1000, Cost: 3.2760\n",
+      " and the parameters are [-2.17369534  3.03837878] -3.849494361945698 ;\n",
+      "Epoch 240/1000, Cost: 3.0310\n",
+      " and the parameters are [-2.17369633  3.03846136] -3.8494875907555386 ;\n",
+      "Epoch 240/1000, Cost: 4.0359\n",
+      " and the parameters are [-2.17379374  3.03851807] -3.849431842386186 ;\n",
+      "Epoch 240/1000, Cost: 4.7618\n",
+      " and the parameters are [-2.17386989  3.03853229] -3.8494115704070357 ;\n",
+      "Epoch 240/1000, Cost: 1.6182\n",
+      " and the parameters are [-2.1738696   3.03854166] -3.8494487047280375 ;\n",
+      "Epoch 240/1000, Cost: 2.3866\n",
+      " and the parameters are [-2.17383073  3.038579  ] -3.8494934061515798 ;\n",
+      "Epoch 240/1000, Cost: 2.3296\n",
+      " and the parameters are [-2.17388394  3.03852645] -3.8495641495708344 ;\n",
+      "Epoch 240/1000, Cost: 4.5065\n",
+      " and the parameters are [-2.17385361  3.0385655 ] -3.849613476457118 ;\n",
+      "Epoch 240/1000, Cost: 2.5933\n",
+      " and the parameters are [-2.17386636  3.03867764] -3.8495797625513526 ;\n",
+      "Epoch 240/1000, Cost: 4.2670\n",
+      " and the parameters are [-2.17385752  3.03873108] -3.849589650055854 ;\n",
+      "Epoch 240/1000, Cost: 4.7643\n",
+      " and the parameters are [-2.17392653  3.03870286] -3.8496509269936934 ;\n",
+      "Epoch 240/1000, Cost: 2.8763\n",
+      " and the parameters are [-2.17398944  3.03878139] -3.8496127557299897 ;\n",
+      "Epoch 240/1000, Cost: 6.7417\n",
+      " and the parameters are [-2.17400245  3.03866918] -3.849734456417076 ;\n",
+      "Epoch 240/1000, Cost: 2.3677\n",
+      " and the parameters are [-2.17406346  3.03860572] -3.8497955670843083 ;\n",
+      "Epoch 240/1000, Cost: 3.1252\n",
+      " and the parameters are [-2.17401837  3.03860607] -3.8498777784140756 ;\n",
+      "Epoch 240/1000, Cost: 2.7039\n",
+      " and the parameters are [-2.17407544  3.03865197] -3.8498626344300226 ;\n",
+      "Epoch 240/1000, Cost: 7.1188\n",
+      " and the parameters are [-2.17403491  3.03860615] -3.849933362736607 ;\n",
+      "Epoch 240/1000, Cost: 4.0604\n",
+      " and the parameters are [-2.17410597  3.03846029] -3.8500621536122344 ;\n",
+      "Epoch 240/1000, Cost: 3.5611\n",
+      " and the parameters are [-2.1741495   3.03841221] -3.8501196479713213 ;\n",
+      "Epoch 240/1000, Cost: 5.6630\n",
+      " and the parameters are [-2.1740947  3.0384455] -3.8501622366225265 ;\n",
+      "Epoch 240/1000, Cost: 4.9764\n",
+      " and the parameters are [-2.1741323   3.03837114] -3.8502414946910792 ;\n",
+      "Epoch 240/1000, Cost: 2.1116\n",
+      " and the parameters are [-2.17416169  3.03844196] -3.850218190631361 ;\n",
+      "Epoch 240/1000, Cost: 2.9520\n",
+      " and the parameters are [-2.17419998  3.03848936] -3.850218227832229 ;\n",
+      "Epoch 240/1000, Cost: 4.4266\n",
+      " and the parameters are [-2.17418716  3.03845284] -3.8503095453764953 ;\n",
+      "Epoch 240/1000, Cost: 3.7955\n",
+      " and the parameters are [-2.17417445  3.0384277 ] -3.8503911478853476 ;\n",
+      "Epoch 240/1000, Cost: 3.7055\n",
+      " and the parameters are [-2.17420427  3.03843464] -3.8504204191778757 ;\n",
+      "Epoch 240/1000, Cost: 5.9005\n",
+      " and the parameters are [-2.17423913  3.03847858] -3.8503886978251822 ;\n",
+      "Epoch 240/1000, Cost: 2.6039\n",
+      " and the parameters are [-2.17420526  3.03859352] -3.8503694460476012 ;\n",
+      "Epoch 240/1000, Cost: 4.1102\n",
+      " and the parameters are [-2.17414351  3.03861358] -3.850434700414932 ;\n",
+      "Epoch 240/1000, Cost: 5.5561\n",
+      " and the parameters are [-2.17423354  3.03852222] -3.8505017845648726 ;\n",
+      "Epoch 240/1000, Cost: 3.3399\n",
+      " and the parameters are [-2.1742697   3.03866506] -3.850433265591709 ;\n",
+      "Epoch 240/1000, Cost: 4.0392\n",
+      " and the parameters are [-2.17425127  3.03884359] -3.850347261788595 ;\n",
+      "Epoch 240/1000, Cost: 2.2082\n",
+      " and the parameters are [-2.17428201  3.03884649] -3.8503880709514413 ;\n",
+      "Epoch 240/1000, Cost: 5.3496\n",
+      " and the parameters are [-2.17431476  3.03894243] -3.850347161251653 ;\n",
+      "Epoch 240/1000, Cost: 5.0305\n",
+      " and the parameters are [-2.17434316  3.03902429] -3.85031193037802 ;\n",
+      "Epoch 240/1000, Cost: 4.8323\n",
+      " and the parameters are [-2.17430202  3.0390052 ] -3.8503949284460113 ;\n",
+      "Epoch 240/1000, Cost: 3.6696\n",
+      " and the parameters are [-2.17436503  3.03901885] -3.850391732759933 ;\n",
+      "Epoch 240/1000, Cost: 3.8980\n",
+      " and the parameters are [-2.17442403  3.03903137] -3.8504042508691247 ;\n",
+      "Epoch 240/1000, Cost: 6.5682\n",
+      " and the parameters are [-2.1744181   3.03903846] -3.850453516934103 ;\n",
+      "Epoch 240/1000, Cost: 5.5458\n",
+      " and the parameters are [-2.17442368  3.03909983] -3.8504235519278853 ;\n",
+      "Epoch 240/1000, Cost: 4.4575\n",
+      " and the parameters are [-2.1743841   3.03926277] -3.8503972568394085 ;\n",
+      "Epoch 240/1000, Cost: 2.4090\n",
+      " and the parameters are [-2.17437058  3.03931595] -3.8504173010287337 ;\n",
+      "Epoch 240/1000, Cost: 5.9119\n",
+      " and the parameters are [-2.17444145  3.03917405] -3.8505338646344818 ;\n",
+      "Epoch 240/1000, Cost: 9.0316\n",
+      " and the parameters are [-2.17437353  3.03915026] -3.8506204261003814 ;\n",
+      "Epoch 240/1000, Cost: 4.1251\n",
+      " and the parameters are [-2.17434933  3.03930113] -3.850571048944611 ;\n",
+      "Epoch 240/1000, Cost: 2.8131\n",
+      " and the parameters are [-2.17442099  3.03925339] -3.8506268914913555 ;\n",
+      "Epoch 240/1000, Cost: 2.3495\n",
+      " and the parameters are [-2.1744426   3.03929761] -3.8506414755870493 ;\n",
+      "Epoch 240/1000, Cost: 3.1251\n",
+      " and the parameters are [-2.17447302  3.03936117] -3.850627904839786 ;\n",
+      "Epoch 240/1000, Cost: 3.7332\n",
+      " and the parameters are [-2.17453083  3.03932417] -3.8506893809213762 ;\n",
+      "Epoch 240/1000, Cost: 6.3927\n",
+      " and the parameters are [-2.17458263  3.03927016] -3.8507516300822044 ;\n",
+      "Epoch 240/1000, Cost: 5.5691\n",
+      " and the parameters are [-2.17465732  3.0392219 ] -3.8508209644019256 ;\n",
+      "Epoch 240/1000, Cost: 5.0975\n",
+      " and the parameters are [-2.17455334  3.039206  ] -3.850906016959997 ;\n",
+      "Epoch 240/1000, Cost: 1.9149\n",
+      " and the parameters are [-2.17453767  3.0392829 ] -3.8509068931615813 ;\n",
+      "Epoch 240/1000, Cost: 5.5062\n",
+      " and the parameters are [-2.17450059  3.0393718 ] -3.8509180756093104 ;\n",
+      "Epoch 240/1000, Cost: 3.0462\n",
+      " and the parameters are [-2.17454426  3.03940638] -3.8509283245884993 ;\n",
+      "Epoch 240/1000, Cost: 5.3768\n",
+      " and the parameters are [-2.17458668  3.03949349] -3.850884779461804 ;\n",
+      "Epoch 240/1000, Cost: 7.0501\n",
+      " and the parameters are [-2.17460823  3.03931981] -3.8510285391662373 ;\n",
+      "Epoch 240/1000, Cost: 3.8471\n",
+      " and the parameters are [-2.17463026  3.0394044 ] -3.850998978797554 ;\n",
+      "Epoch 240/1000, Cost: 4.8811\n",
+      " and the parameters are [-2.1746305   3.03945475] -3.85103801809687 ;\n",
+      "Epoch 240/1000, Cost: 3.2635\n",
+      " and the parameters are [-2.17471078  3.03945282] -3.8510399981012013 ;\n",
+      "Epoch 240/1000, Cost: 4.1078\n",
+      " and the parameters are [-2.1747521   3.03939993] -3.8511095158675754 ;\n",
+      "Epoch 240/1000, Cost: 5.9024\n",
+      " and the parameters are [-2.17476706  3.03940566] -3.851143812433631 ;\n",
+      "Epoch 240/1000, Cost: 7.7741\n",
+      " and the parameters are [-2.17485519  3.0393174 ] -3.851173958237893 ;\n",
+      "Epoch 240/1000, Cost: 5.0132\n",
+      " and the parameters are [-2.17489353  3.03920974] -3.851263707494697 ;\n",
+      "Epoch 240/1000, Cost: 4.9264\n",
+      " and the parameters are [-2.1749911   3.03914688] -3.8512774443751074 ;\n",
+      "Epoch 240/1000, Cost: 3.7106\n",
+      " and the parameters are [-2.17499891  3.03922029] -3.8512578991968267 ;\n",
+      "Epoch 240/1000, Cost: 3.6996\n",
+      " and the parameters are [-2.17502058  3.03923009] -3.851276909276836 ;\n",
+      "Epoch 240/1000, Cost: 5.3590\n",
+      " and the parameters are [-2.17497066  3.03927432] -3.8513129384739004 ;\n",
+      "Epoch 240/1000, Cost: 4.2761\n",
+      " and the parameters are [-2.17496042  3.03929336] -3.851362005146192 ;\n",
+      "Epoch 240/1000, Cost: 4.5194\n",
+      " and the parameters are [-2.17494304  3.03936106] -3.8513858201779585 ;\n",
+      "Epoch 240/1000, Cost: 2.7963\n",
+      " and the parameters are [-2.17493143  3.03936167] -3.8514553389935027 ;\n",
+      "Epoch 240/1000, Cost: 3.1452\n",
+      " and the parameters are [-2.1749461   3.03936704] -3.8514868799903907 ;\n",
+      "Epoch 240/1000, Cost: 3.2480\n",
+      " and the parameters are [-2.17500521  3.03940392] -3.8514883164417606 ;\n",
+      "Epoch 240/1000, Cost: 2.9516\n",
+      " and the parameters are [-2.17506148  3.0393782 ] -3.851535677358079 ;\n",
+      "Epoch 240/1000, Cost: 6.9079\n",
+      " and the parameters are [-2.17511689  3.03921317] -3.851656777500108 ;\n",
+      "Epoch 240/1000, Cost: 2.8957\n",
+      " and the parameters are [-2.17510877  3.0392371 ] -3.8516968623031542 ;\n",
+      "Epoch 240/1000, Cost: 2.9661\n",
+      " and the parameters are [-2.17513994  3.03928791] -3.8516910580953314 ;\n",
+      "Epoch 240/1000, Cost: 2.9359\n",
+      " and the parameters are [-2.17513769  3.03940566] -3.851664686879451 ;\n",
+      "Epoch 240/1000, Cost: 4.2168\n",
+      " and the parameters are [-2.17525761  3.03931492] -3.8517140933585723 ;\n",
+      "Epoch 240/1000, Cost: 2.8944\n",
+      " and the parameters are [-2.17530861  3.03934213] -3.8517266751694903 ;\n",
+      "Epoch 240/1000, Cost: 3.6312\n",
+      " and the parameters are [-2.175313    3.03927219] -3.8518301343737797 ;\n",
+      "Epoch 240/1000, Cost: 5.4127\n",
+      " and the parameters are [-2.17538467  3.03905566] -3.8520060441619637 ;\n",
+      "Epoch 240/1000, Cost: 1.6132\n",
+      " and the parameters are [-2.17539941  3.03914474] -3.8519808770764215 ;\n",
+      "Epoch 240/1000, Cost: 4.8554\n",
+      " and the parameters are [-2.17532507  3.03926258] -3.851980996470422 ;\n",
+      "Epoch 240/1000, Cost: 3.8833\n",
+      " and the parameters are [-2.17529108  3.03930233] -3.852014395490304 ;\n",
+      "Epoch 240/1000, Cost: 3.7216\n",
+      " and the parameters are [-2.1752231   3.03931864] -3.85209923544172 ;\n",
+      "Epoch 240/1000, Cost: 4.1386\n",
+      " and the parameters are [-2.17522678  3.03934712] -3.8521157758525946 ;\n",
+      "Epoch 240/1000, Cost: 3.7397\n",
+      " and the parameters are [-2.17521186  3.03952557] -3.8520445826024297 ;\n",
+      "Epoch 240/1000, Cost: 4.2970\n",
+      " and the parameters are [-2.17524176  3.03960524] -3.8520236800396144 ;\n",
+      "Epoch 240/1000, Cost: 2.7318\n",
+      " and the parameters are [-2.17521764  3.03963299] -3.8520653445438024 ;\n",
+      "Epoch 240/1000, Cost: 2.8747\n",
+      " and the parameters are [-2.17527233  3.03966848] -3.852055673544407 ;\n",
+      "Epoch 240/1000, Cost: 3.4100\n",
+      " and the parameters are [-2.17523396  3.0396501 ] -3.852133247510559 ;\n",
+      "Epoch 240/1000, Cost: 2.6959\n",
+      " and the parameters are [-2.17526119  3.03961709] -3.8521992058196455 ;\n",
+      "Epoch 240/1000, Cost: 3.7256\n",
+      " and the parameters are [-2.17520012  3.039804  ] -3.852155330501917 ;\n",
+      "Epoch 240/1000, Cost: 2.8525\n",
+      " and the parameters are [-2.17514213  3.03981591] -3.8522295781342804 ;\n",
+      "Epoch 240/1000, Cost: 1.8769\n",
+      " and the parameters are [-2.17512054  3.03994185] -3.8521974995905213 ;\n",
+      "Epoch 240/1000, Cost: 2.8998\n",
+      " and the parameters are [-2.17517351  3.03987529] -3.8522642577342663 ;\n",
+      "Epoch 240/1000, Cost: 5.5047\n",
+      " and the parameters are [-2.17529647  3.03972504] -3.852323847747213 ;\n",
+      "Epoch 240/1000, Cost: 4.1481\n",
+      " and the parameters are [-2.175346   3.0396961] -3.8523704227282183 ;\n",
+      "Epoch 240/1000, Cost: 2.9479\n",
+      " and the parameters are [-2.17526912  3.03971834] -3.8524522356450235 ;\n",
+      "Epoch 240/1000, Cost: 5.0968\n",
+      " and the parameters are [-2.17526234  3.03971175] -3.8525330453543356 ;\n",
+      "Epoch 240/1000, Cost: 5.2995\n",
+      " and the parameters are [-2.17529084  3.03961238] -3.8526530613526435 ;\n",
+      "Epoch 240/1000, Cost: 3.1347\n",
+      " and the parameters are [-2.17530242  3.03969396] -3.8526476803947736 ;\n",
+      "Epoch 240/1000, Cost: 3.5481\n",
+      " and the parameters are [-2.175322    3.03964733] -3.852727556415809 ;\n",
+      "Epoch 240/1000, Cost: 3.4810\n",
+      " and the parameters are [-2.17537134  3.03971375] -3.8526866170722776 ;\n",
+      "Epoch 240/1000, Cost: 3.8549\n",
+      " and the parameters are [-2.17536577  3.03968877] -3.8527708547951036 ;\n",
+      "Epoch 240/1000, Cost: 4.4510\n",
+      " and the parameters are [-2.17538496  3.03981253] -3.8527302853752365 ;\n",
+      "Epoch 240/1000, Cost: 2.2606\n",
+      " and the parameters are [-2.17539619  3.03989638] -3.852709952199237 ;\n",
+      "Epoch 240/1000, Cost: 6.4384\n",
+      " and the parameters are [-2.17543814  3.03983822] -3.8527862306673595 ;\n",
+      "Epoch 240/1000, Cost: 4.6776\n",
+      " and the parameters are [-2.17541136  3.03980078] -3.8528725057985933 ;\n",
+      "Epoch 240/1000, Cost: 2.2116\n",
+      " and the parameters are [-2.17546095  3.03984721] -3.8528606833062695 ;\n",
+      "Epoch 240/1000, Cost: 4.8471\n",
+      " and the parameters are [-2.17549081  3.03984108] -3.852920653951061 ;\n",
+      "Epoch 240/1000, Cost: 8.9830\n",
+      " and the parameters are [-2.17553385  3.03977028] -3.852979898781169 ;\n",
+      "Epoch 240/1000, Cost: 5.9739\n",
+      " and the parameters are [-2.17546426  3.03987642] -3.852978298147463 ;\n",
+      "Epoch 240/1000, Cost: 3.9814\n",
+      " and the parameters are [-2.1755029   3.03990401] -3.8530033571312368 ;\n",
+      "Epoch 240/1000, Cost: 1.6198\n",
+      " and the parameters are [-2.17551811  3.03993561] -3.8530266429483118 ;\n",
+      "Epoch 240/1000, Cost: 4.0510\n",
+      " and the parameters are [-2.1755883   3.03987373] -3.8530815652311086 ;\n",
+      "Epoch 240/1000, Cost: 4.6892\n",
+      " and the parameters are [-2.17552458  3.0399336 ] -3.853138402711643 ;\n",
+      "Epoch 240/1000, Cost: 4.1599\n",
+      " and the parameters are [-2.17557232  3.04004374] -3.8530848438814966 ;\n",
+      "Epoch 240/1000, Cost: 8.2705\n",
+      " and the parameters are [-2.17565919  3.03990514] -3.8531447460283372 ;\n",
+      "Epoch 240/1000, Cost: 3.2156\n",
+      " and the parameters are [-2.17565374  3.03991301] -3.8531976017704666 ;\n",
+      "Epoch 240/1000, Cost: 5.4870\n",
+      " and the parameters are [-2.17564488  3.03999551] -3.8531889118820413 ;\n",
+      "Epoch 240/1000, Cost: 3.0094\n",
+      " and the parameters are [-2.17557751  3.04003463] -3.8532544525913375 ;\n",
+      "Epoch 240/1000, Cost: 3.9839\n",
+      " and the parameters are [-2.17562452  3.04001838] -3.8532943147748395 ;\n",
+      "Epoch 240/1000, Cost: 6.2300\n",
+      " and the parameters are [-2.17564834  3.04014643] -3.8531959329469228 ;\n",
+      "Epoch 240/1000, Cost: 2.4263\n",
+      " and the parameters are [-2.17571984  3.04011441] -3.8532192804332537 ;\n",
+      "Epoch 240/1000, Cost: 3.7601\n",
+      " and the parameters are [-2.17578347  3.04012985] -3.853225432394516 ;\n",
+      "Epoch 240/1000, Cost: 3.0002\n",
+      " and the parameters are [-2.17581777  3.04015271] -3.853244703025753 ;\n",
+      "Epoch 240/1000, Cost: 3.4793\n",
+      " and the parameters are [-2.17575547  3.04022018] -3.8532922988538925 ;\n",
+      "Epoch 240/1000, Cost: 2.3391\n",
+      " and the parameters are [-2.17579745  3.04024443] -3.8533125154498444 ;\n",
+      "Epoch 240/1000, Cost: 4.2868\n",
+      " and the parameters are [-2.1757069   3.04026439] -3.8533939992662076 ;\n",
+      "Epoch 240/1000, Cost: 3.8709\n",
+      " and the parameters are [-2.17565883  3.0402732 ] -3.8534540726298747 ;\n",
+      "Epoch 240/1000, Cost: 3.2749\n",
+      " and the parameters are [-2.17568727  3.04023352] -3.8535307239965464 ;\n",
+      "Epoch 240/1000, Cost: 2.8108\n",
+      " and the parameters are [-2.17569385  3.04027283] -3.8535533577792016 ;\n",
+      "Epoch 240/1000, Cost: 5.0221\n",
+      " and the parameters are [-2.1756537  3.0403664] -3.853558437713892 ;\n",
+      "Epoch 240/1000, Cost: 6.7687\n",
+      " and the parameters are [-2.17567723  3.04036338] -3.8535907817952517 ;\n",
+      "Epoch 240/1000, Cost: 2.8431\n",
+      " and the parameters are [-2.17565073  3.04042982] -3.8536177287318876 ;\n",
+      "Epoch 240/1000, Cost: 8.1055\n",
+      " and the parameters are [-2.17566076  3.04033022] -3.8536843522898367 ;\n",
+      "Epoch 240/1000, Cost: 2.0415\n",
+      " and the parameters are [-2.17562568  3.04039654] -3.8537091183170533 ;\n",
+      "Epoch 240/1000, Cost: 3.5391\n",
+      " and the parameters are [-2.17561584  3.04046091] -3.8537427658942787 ;\n",
+      "Epoch 240/1000, Cost: 3.3967\n",
+      " and the parameters are [-2.17566317  3.04040179] -3.853813996420373 ;\n",
+      "Epoch 240/1000, Cost: 5.1788\n",
+      " and the parameters are [-2.17568658  3.04045748] -3.85380073916242 ;\n",
+      "Epoch 240/1000, Cost: 2.9844\n",
+      " and the parameters are [-2.17574003  3.04045357] -3.8538331712269334 ;\n",
+      "Epoch 240/1000, Cost: 3.8040\n",
+      " and the parameters are [-2.17576304  3.04045778] -3.8538672451741096 ;\n",
+      "Epoch 240/1000, Cost: 3.8413\n",
+      " and the parameters are [-2.17575032  3.04056897] -3.8538431141604663 ;\n",
+      "Epoch 240/1000, Cost: 3.6598\n",
+      " and the parameters are [-2.17575232  3.04057791] -3.8538771767494153 ;\n",
+      "Epoch 240/1000, Cost: 2.0288\n",
+      " and the parameters are [-2.17577255  3.04062847] -3.853885753387318 ;\n",
+      "Epoch 240/1000, Cost: 3.4430\n",
+      " and the parameters are [-2.17580481  3.04063369] -3.853940387367903 ;\n",
+      "Epoch 240/1000, Cost: 3.6287\n",
+      " and the parameters are [-2.1757977   3.04065468] -3.8539835658650925 ;\n",
+      "Epoch 240/1000, Cost: 3.4900\n",
+      " and the parameters are [-2.17574332  3.04075384] -3.8540014151261475 ;\n",
+      "Epoch 240/1000, Cost: 4.9635\n",
+      " and the parameters are [-2.17576508  3.04063878] -3.8541276132467073 ;\n",
+      "Epoch 240/1000, Cost: 5.2889\n",
+      " and the parameters are [-2.17583026  3.0406572 ] -3.854156374160074 ;\n",
+      "Epoch 240/1000, Cost: 4.8842\n",
+      " and the parameters are [-2.1759016  3.0406841] -3.854159286596712 ;\n",
+      "Epoch 240/1000, Cost: 7.2309\n",
+      " and the parameters are [-2.17591467  3.04063718] -3.8541969848531545 ;\n",
+      "Epoch 240/1000, Cost: 2.5084\n",
+      " and the parameters are [-2.17589517  3.04067538] -3.854240719573438 ;\n",
+      "Epoch 240/1000, Cost: 3.6142\n",
+      " and the parameters are [-2.17586349  3.04081981] -3.8542009479758423 ;\n",
+      "Epoch 240/1000, Cost: 5.0013\n",
+      " and the parameters are [-2.17587325  3.04085475] -3.854237391571845 ;\n",
+      "Epoch 240/1000, Cost: 8.4815\n",
+      " and the parameters are [-2.17597436  3.04089682] -3.854186090661241 ;\n",
+      "Epoch 240/1000, Cost: 3.6702\n",
+      " and the parameters are [-2.17602048  3.04101927] -3.8541177699448204 ;\n",
+      "Epoch 240/1000, Cost: 6.8822\n",
+      " and the parameters are [-2.17608148  3.0408237 ] -3.85425588296773 ;\n",
+      "Epoch 240/1000, Cost: 6.0237\n",
+      " and the parameters are [-2.17605361  3.04087594] -3.8542654847477813 ;\n",
+      "Epoch 240/1000, Cost: 3.4757\n",
+      " and the parameters are [-2.17610161  3.04097981] -3.854221375648906 ;\n",
+      "Epoch 240/1000, Cost: 3.5476\n",
+      " and the parameters are [-2.17608905  3.04106088] -3.8542274351749226 ;\n",
+      "Epoch 240/1000, Cost: 2.2420\n",
+      " and the parameters are [-2.17607363  3.0410573 ] -3.854295422624434 ;\n",
+      "Epoch 240/1000, Cost: 2.7830\n",
+      " and the parameters are [-2.17605545  3.04111139] -3.8543267644571575 ;\n",
+      "Epoch 240/1000, Cost: 2.7187\n",
+      " and the parameters are [-2.17606696  3.04110725] -3.8543804127611687 ;\n",
+      "Epoch 250/1000, Cost: 2.4137\n",
+      " and the parameters are [-2.20354797  3.07444968] -3.903325109462258 ;\n",
+      "Epoch 250/1000, Cost: 5.0386\n",
+      " and the parameters are [-2.2035871   3.07452863] -3.903300753646865 ;\n",
+      "Epoch 250/1000, Cost: 4.3087\n",
+      " and the parameters are [-2.20366229  3.07441515] -3.903406401629771 ;\n",
+      "Epoch 250/1000, Cost: 3.7578\n",
+      " and the parameters are [-2.20373462  3.07431408] -3.903489114830313 ;\n",
+      "Epoch 250/1000, Cost: 3.7150\n",
+      " and the parameters are [-2.20375282  3.0743879 ] -3.903485949360321 ;\n",
+      "Epoch 250/1000, Cost: 4.2960\n",
+      " and the parameters are [-2.20375846  3.07439677] -3.9035278126524453 ;\n",
+      "Epoch 250/1000, Cost: 3.5984\n",
+      " and the parameters are [-2.20380613  3.07439592] -3.9035623045730685 ;\n",
+      "Epoch 250/1000, Cost: 4.7612\n",
+      " and the parameters are [-2.20379146  3.07446921] -3.90355309276448 ;\n",
+      "Epoch 250/1000, Cost: 4.3111\n",
+      " and the parameters are [-2.20380691  3.07465719] -3.903446521189002 ;\n",
+      "Epoch 250/1000, Cost: 2.6441\n",
+      " and the parameters are [-2.20386344  3.07462557] -3.9035005281959427 ;\n",
+      "Epoch 250/1000, Cost: 2.6701\n",
+      " and the parameters are [-2.2038853   3.07467068] -3.9035121387444636 ;\n",
+      "Epoch 250/1000, Cost: 3.1273\n",
+      " and the parameters are [-2.20383378  3.07476537] -3.9035225119296832 ;\n",
+      "Epoch 250/1000, Cost: 7.8858\n",
+      " and the parameters are [-2.2038301   3.07491984] -3.903401256377299 ;\n",
+      "Epoch 250/1000, Cost: 4.4928\n",
+      " and the parameters are [-2.20385037  3.07495831] -3.9034132010019467 ;\n",
+      "Epoch 250/1000, Cost: 4.8002\n",
+      " and the parameters are [-2.20386095  3.07501826] -3.9034184994347423 ;\n",
+      "Epoch 250/1000, Cost: 4.9910\n",
+      " and the parameters are [-2.20392988  3.07491124] -3.9035118750288857 ;\n",
+      "Epoch 250/1000, Cost: 3.3623\n",
+      " and the parameters are [-2.20394376  3.07506124] -3.9034548959082342 ;\n",
+      "Epoch 250/1000, Cost: 4.4535\n",
+      " and the parameters are [-2.20399522  3.07500813] -3.9035082237411416 ;\n",
+      "Epoch 250/1000, Cost: 4.6207\n",
+      " and the parameters are [-2.20400664  3.07506522] -3.9035102487767377 ;\n",
+      "Epoch 250/1000, Cost: 2.8236\n",
+      " and the parameters are [-2.20400622  3.07511566] -3.9035310895865982 ;\n",
+      "Epoch 250/1000, Cost: 3.9653\n",
+      " and the parameters are [-2.20410073  3.07501494] -3.9036038153330637 ;\n",
+      "Epoch 250/1000, Cost: 4.7808\n",
+      " and the parameters are [-2.20414861  3.07507261] -3.9035804370402367 ;\n",
+      "Epoch 250/1000, Cost: 2.1319\n",
+      " and the parameters are [-2.20417152  3.07506376] -3.903631435449355 ;\n",
+      "Epoch 250/1000, Cost: 4.7081\n",
+      " and the parameters are [-2.2041582   3.07502988] -3.9037109396577176 ;\n",
+      "Epoch 250/1000, Cost: 4.0199\n",
+      " and the parameters are [-2.20416913  3.07503301] -3.9037521010695944 ;\n",
+      "Epoch 250/1000, Cost: 4.4035\n",
+      " and the parameters are [-2.20421263  3.07513215] -3.9036901024943913 ;\n",
+      "Epoch 250/1000, Cost: 4.9456\n",
+      " and the parameters are [-2.20424633  3.07508114] -3.9037511736811026 ;\n",
+      "Epoch 250/1000, Cost: 4.6425\n",
+      " and the parameters are [-2.20427982  3.07505461] -3.9037943886507462 ;\n",
+      "Epoch 250/1000, Cost: 1.0562\n",
+      " and the parameters are [-2.20428133  3.07509573] -3.90380416463207 ;\n",
+      "Epoch 250/1000, Cost: 4.0263\n",
+      " and the parameters are [-2.20427513  3.07509841] -3.903846255637607 ;\n",
+      "Epoch 250/1000, Cost: 2.9996\n",
+      " and the parameters are [-2.20427914  3.07521705] -3.903813783272005 ;\n",
+      "Epoch 250/1000, Cost: 3.6509\n",
+      " and the parameters are [-2.20430554  3.07527756] -3.903817044717721 ;\n",
+      "Epoch 250/1000, Cost: 2.2212\n",
+      " and the parameters are [-2.20432295  3.07536371] -3.9037932671950704 ;\n",
+      "Epoch 250/1000, Cost: 4.9876\n",
+      " and the parameters are [-2.20430223  3.0752727 ] -3.9039206151107435 ;\n",
+      "Epoch 250/1000, Cost: 4.0619\n",
+      " and the parameters are [-2.20426011  3.07544141] -3.90387526740767 ;\n",
+      "Epoch 250/1000, Cost: 5.1081\n",
+      " and the parameters are [-2.20424863  3.0754773 ] -3.9038908656673983 ;\n",
+      "Epoch 250/1000, Cost: 3.7087\n",
+      " and the parameters are [-2.20423795  3.07562669] -3.9038423822046537 ;\n",
+      "Epoch 250/1000, Cost: 2.5072\n",
+      " and the parameters are [-2.20425715  3.07561993] -3.9038884086571946 ;\n",
+      "Epoch 250/1000, Cost: 4.0962\n",
+      " and the parameters are [-2.20428506  3.07567298] -3.903884270282867 ;\n",
+      "Epoch 250/1000, Cost: 5.4966\n",
+      " and the parameters are [-2.20416588  3.0756694 ] -3.9039835235237126 ;\n",
+      "Epoch 250/1000, Cost: 3.4969\n",
+      " and the parameters are [-2.20412119  3.07580203] -3.9039626072113784 ;\n",
+      "Epoch 250/1000, Cost: 2.7823\n",
+      " and the parameters are [-2.20408303  3.07585149] -3.904007592817205 ;\n",
+      "Epoch 250/1000, Cost: 2.3404\n",
+      " and the parameters are [-2.20406034  3.07591713] -3.9040235133831 ;\n",
+      "Epoch 250/1000, Cost: 3.3230\n",
+      " and the parameters are [-2.20406454  3.07595522] -3.9040481652320667 ;\n",
+      "Epoch 250/1000, Cost: 3.4564\n",
+      " and the parameters are [-2.20399774  3.07601807] -3.9040714748361824 ;\n",
+      "Epoch 250/1000, Cost: 1.6979\n",
+      " and the parameters are [-2.20396286  3.0760787 ] -3.90409264655727 ;\n",
+      "Epoch 250/1000, Cost: 4.1012\n",
+      " and the parameters are [-2.20391702  3.07617154] -3.9040894927355327 ;\n",
+      "Epoch 250/1000, Cost: 3.5115\n",
+      " and the parameters are [-2.203932    3.07618223] -3.904119661235295 ;\n",
+      "Epoch 250/1000, Cost: 7.6930\n",
+      " and the parameters are [-2.20403079  3.07596313] -3.90427211224771 ;\n",
+      "Epoch 250/1000, Cost: 4.3039\n",
+      " and the parameters are [-2.20404495  3.0758744 ] -3.904371632518258 ;\n",
+      "Epoch 250/1000, Cost: 3.2021\n",
+      " and the parameters are [-2.20399508  3.07587445] -3.9044545299827775 ;\n",
+      "Epoch 250/1000, Cost: 1.7052\n",
+      " and the parameters are [-2.20402988  3.07584453] -3.904504704563759 ;\n",
+      "Epoch 250/1000, Cost: 5.7859\n",
+      " and the parameters are [-2.20411505  3.07593804] -3.904442260810674 ;\n",
+      "Epoch 250/1000, Cost: 3.8253\n",
+      " and the parameters are [-2.20416653  3.07585819] -3.904534933334112 ;\n",
+      "Epoch 250/1000, Cost: 5.5265\n",
+      " and the parameters are [-2.20426235  3.07577966] -3.904591983779412 ;\n",
+      "Epoch 250/1000, Cost: 3.6160\n",
+      " and the parameters are [-2.20428013  3.07576506] -3.9046460914020584 ;\n",
+      "Epoch 250/1000, Cost: 3.2519\n",
+      " and the parameters are [-2.20427485  3.07585629] -3.904632806584575 ;\n",
+      "Epoch 250/1000, Cost: 3.3338\n",
+      " and the parameters are [-2.20430799  3.07580044] -3.9046930954763237 ;\n",
+      "Epoch 250/1000, Cost: 4.8008\n",
+      " and the parameters are [-2.20435135  3.07577239] -3.904751494388192 ;\n",
+      "Epoch 250/1000, Cost: 4.5589\n",
+      " and the parameters are [-2.20444949  3.07570592] -3.904807726520835 ;\n",
+      "Epoch 250/1000, Cost: 1.6483\n",
+      " and the parameters are [-2.20444201  3.07576341] -3.904817279259341 ;\n",
+      "Epoch 250/1000, Cost: 3.8373\n",
+      " and the parameters are [-2.20442054  3.07579789] -3.904862341072841 ;\n",
+      "Epoch 250/1000, Cost: 2.6354\n",
+      " and the parameters are [-2.20445095  3.07585643] -3.9048601678198525 ;\n",
+      "Epoch 250/1000, Cost: 6.4688\n",
+      " and the parameters are [-2.20444297  3.07595381] -3.9048342899703057 ;\n",
+      "Epoch 250/1000, Cost: 7.4940\n",
+      " and the parameters are [-2.20441966  3.07594332] -3.904848143419501 ;\n",
+      "Epoch 250/1000, Cost: 4.7755\n",
+      " and the parameters are [-2.20441195  3.07601538] -3.9048565752549025 ;\n",
+      "Epoch 250/1000, Cost: 2.0522\n",
+      " and the parameters are [-2.20442807  3.07601319] -3.9048915649397555 ;\n",
+      "Epoch 250/1000, Cost: 4.3694\n",
+      " and the parameters are [-2.20449211  3.07602442] -3.9048732209424686 ;\n",
+      "Epoch 250/1000, Cost: 6.1920\n",
+      " and the parameters are [-2.2045371   3.07602058] -3.9048700735390622 ;\n",
+      "Epoch 250/1000, Cost: 4.2100\n",
+      " and the parameters are [-2.20455581  3.07595305] -3.90496585403205 ;\n",
+      "Epoch 250/1000, Cost: 3.5226\n",
+      " and the parameters are [-2.2045514   3.07608269] -3.9049223856967124 ;\n",
+      "Epoch 250/1000, Cost: 5.2168\n",
+      " and the parameters are [-2.20459899  3.07598539] -3.904993239436253 ;\n",
+      "Epoch 250/1000, Cost: 6.0209\n",
+      " and the parameters are [-2.2045999   3.07588267] -3.9051052417916647 ;\n",
+      "Epoch 250/1000, Cost: 3.6918\n",
+      " and the parameters are [-2.20461944  3.07580113] -3.9052176901226745 ;\n",
+      "Epoch 250/1000, Cost: 4.5248\n",
+      " and the parameters are [-2.20458763  3.07585739] -3.905248142241186 ;\n",
+      "Epoch 250/1000, Cost: 6.1421\n",
+      " and the parameters are [-2.20467491  3.07561995] -3.905425069338355 ;\n",
+      "Epoch 250/1000, Cost: 5.0055\n",
+      " and the parameters are [-2.20469718  3.0756925 ] -3.9053728420001117 ;\n",
+      "Epoch 250/1000, Cost: 3.1342\n",
+      " and the parameters are [-2.20476099  3.07559917] -3.905455191211385 ;\n",
+      "Epoch 250/1000, Cost: 4.0818\n",
+      " and the parameters are [-2.20477296  3.07555829] -3.905529913333145 ;\n",
+      "Epoch 250/1000, Cost: 5.3152\n",
+      " and the parameters are [-2.20476162  3.07560234] -3.9055459093392972 ;\n",
+      "Epoch 250/1000, Cost: 4.3919\n",
+      " and the parameters are [-2.20477054  3.07562252] -3.9055757257355963 ;\n",
+      "Epoch 250/1000, Cost: 3.2058\n",
+      " and the parameters are [-2.20481817  3.07563374] -3.9056036946943378 ;\n",
+      "Epoch 250/1000, Cost: 6.3148\n",
+      " and the parameters are [-2.20492067  3.07542729] -3.905730758206086 ;\n",
+      "Epoch 250/1000, Cost: 3.0993\n",
+      " and the parameters are [-2.20488861  3.07552348] -3.9057286558938324 ;\n",
+      "Epoch 250/1000, Cost: 3.3329\n",
+      " and the parameters are [-2.20491673  3.07553765] -3.905742146366364 ;\n",
+      "Epoch 250/1000, Cost: 5.0069\n",
+      " and the parameters are [-2.20488886  3.07563741] -3.9057485665436307 ;\n",
+      "Epoch 250/1000, Cost: 2.4888\n",
+      " and the parameters are [-2.2048923   3.07567231] -3.9057709311968116 ;\n",
+      "Epoch 250/1000, Cost: 2.8458\n",
+      " and the parameters are [-2.20490391  3.07568249] -3.9057977487050115 ;\n",
+      "Epoch 250/1000, Cost: 3.4828\n",
+      " and the parameters are [-2.20485416  3.07579829] -3.905794971281291 ;\n",
+      "Epoch 250/1000, Cost: 4.1667\n",
+      " and the parameters are [-2.20487182  3.07585157] -3.905808233418355 ;\n",
+      "Epoch 250/1000, Cost: 2.9788\n",
+      " and the parameters are [-2.20487446  3.0758414 ] -3.9058637775712257 ;\n",
+      "Epoch 250/1000, Cost: 3.4224\n",
+      " and the parameters are [-2.20479883  3.07586057] -3.905931787754817 ;\n",
+      "Epoch 250/1000, Cost: 3.5729\n",
+      " and the parameters are [-2.20481566  3.07595221] -3.9059195872109584 ;\n",
+      "Epoch 250/1000, Cost: 6.1580\n",
+      " and the parameters are [-2.20482818  3.07594895] -3.905949798728862 ;\n",
+      "Epoch 250/1000, Cost: 4.5075\n",
+      " and the parameters are [-2.20495883  3.07588513] -3.9059690496564343 ;\n",
+      "Epoch 250/1000, Cost: 6.6565\n",
+      " and the parameters are [-2.20506952  3.07575608] -3.906052110926744 ;\n",
+      "Epoch 250/1000, Cost: 7.5656\n",
+      " and the parameters are [-2.20501802  3.07567977] -3.906157668252583 ;\n",
+      "Epoch 250/1000, Cost: 4.5316\n",
+      " and the parameters are [-2.20498682  3.07568599] -3.906192495178979 ;\n",
+      "Epoch 250/1000, Cost: 3.0610\n",
+      " and the parameters are [-2.20496747  3.07576908] -3.906186703451524 ;\n",
+      "Epoch 250/1000, Cost: 1.5639\n",
+      " and the parameters are [-2.20496045  3.075787  ] -3.906222482992374 ;\n",
+      "Epoch 250/1000, Cost: 1.8355\n",
+      " and the parameters are [-2.2049736  3.0758645] -3.906208426395686 ;\n",
+      "Epoch 250/1000, Cost: 2.9582\n",
+      " and the parameters are [-2.2049385   3.07590951] -3.906257339427878 ;\n",
+      "Epoch 250/1000, Cost: 4.2463\n",
+      " and the parameters are [-2.20488919  3.07608615] -3.9062021886191256 ;\n",
+      "Epoch 250/1000, Cost: 2.8996\n",
+      " and the parameters are [-2.20486299  3.07619275] -3.9061854950446575 ;\n",
+      "Epoch 250/1000, Cost: 3.7948\n",
+      " and the parameters are [-2.20490532  3.0761739 ] -3.9062205949452693 ;\n",
+      "Epoch 250/1000, Cost: 4.3175\n",
+      " and the parameters are [-2.20486697  3.0763502 ] -3.9061616627833904 ;\n",
+      "Epoch 250/1000, Cost: 3.0571\n",
+      " and the parameters are [-2.20492492  3.07641213] -3.9061439409240655 ;\n",
+      "Epoch 250/1000, Cost: 3.3601\n",
+      " and the parameters are [-2.20491385  3.07647531] -3.906153814839188 ;\n",
+      "Epoch 250/1000, Cost: 2.0354\n",
+      " and the parameters are [-2.20489886  3.07657286] -3.9061308298870316 ;\n",
+      "Epoch 250/1000, Cost: 2.9920\n",
+      " and the parameters are [-2.2048885   3.07660381] -3.906169959919649 ;\n",
+      "Epoch 250/1000, Cost: 4.8999\n",
+      " and the parameters are [-2.20493448  3.07669625] -3.9061355941442573 ;\n",
+      "Epoch 250/1000, Cost: 3.0709\n",
+      " and the parameters are [-2.20499808  3.0766957 ] -3.9061688040515556 ;\n",
+      "Epoch 250/1000, Cost: 2.5666\n",
+      " and the parameters are [-2.20500481  3.0767459 ] -3.9061848252389026 ;\n",
+      "Epoch 250/1000, Cost: 5.9443\n",
+      " and the parameters are [-2.20507652  3.07661328] -3.906277130381486 ;\n",
+      "Epoch 250/1000, Cost: 3.8525\n",
+      " and the parameters are [-2.20510773  3.07657027] -3.9063521916091704 ;\n",
+      "Epoch 250/1000, Cost: 2.3589\n",
+      " and the parameters are [-2.20511836  3.07659778] -3.9063763229370148 ;\n",
+      "Epoch 250/1000, Cost: 4.0701\n",
+      " and the parameters are [-2.2051528  3.0765886] -3.9064230055646894 ;\n",
+      "Epoch 250/1000, Cost: 3.8607\n",
+      " and the parameters are [-2.20527206  3.07659832] -3.9063969671387158 ;\n",
+      "Epoch 250/1000, Cost: 4.1676\n",
+      " and the parameters are [-2.20523271  3.07655956] -3.9065180357911977 ;\n",
+      "Epoch 250/1000, Cost: 4.5667\n",
+      " and the parameters are [-2.20520833  3.07650991] -3.9066293436071273 ;\n",
+      "Epoch 250/1000, Cost: 3.8548\n",
+      " and the parameters are [-2.20522992  3.07643206] -3.9067249373924566 ;\n",
+      "Epoch 250/1000, Cost: 4.5060\n",
+      " and the parameters are [-2.2051945   3.07650427] -3.906751503794445 ;\n",
+      "Epoch 250/1000, Cost: 6.0289\n",
+      " and the parameters are [-2.20506503  3.07651468] -3.9068625229518554 ;\n",
+      "Epoch 250/1000, Cost: 4.9297\n",
+      " and the parameters are [-2.20513182  3.07663963] -3.9067668009714835 ;\n",
+      "Epoch 250/1000, Cost: 2.9692\n",
+      " and the parameters are [-2.2051064   3.07668303] -3.906795189990078 ;\n",
+      "Epoch 250/1000, Cost: 6.4317\n",
+      " and the parameters are [-2.2051206   3.07661298] -3.906861890813155 ;\n",
+      "Epoch 250/1000, Cost: 2.6567\n",
+      " and the parameters are [-2.20510993  3.07670075] -3.9068511673516277 ;\n",
+      "Epoch 250/1000, Cost: 3.7702\n",
+      " and the parameters are [-2.20512655  3.07669007] -3.9068981312317668 ;\n",
+      "Epoch 250/1000, Cost: 3.5860\n",
+      " and the parameters are [-2.20510778  3.0767494 ] -3.9069183217501946 ;\n",
+      "Epoch 250/1000, Cost: 1.8608\n",
+      " and the parameters are [-2.2051293   3.07682029] -3.9069049380867673 ;\n",
+      "Epoch 250/1000, Cost: 5.8907\n",
+      " and the parameters are [-2.2051718   3.07693096] -3.9068522490282214 ;\n",
+      "Epoch 250/1000, Cost: 4.7711\n",
+      " and the parameters are [-2.20517254  3.07690097] -3.9069090016719206 ;\n",
+      "Epoch 250/1000, Cost: 4.9054\n",
+      " and the parameters are [-2.20522209  3.07687589] -3.9069621224979807 ;\n",
+      "Epoch 250/1000, Cost: 3.6546\n",
+      " and the parameters are [-2.20523653  3.0768655 ] -3.9069950544282412 ;\n",
+      "Epoch 250/1000, Cost: 2.8008\n",
+      " and the parameters are [-2.20526525  3.07689133] -3.9070142970845834 ;\n",
+      "Epoch 250/1000, Cost: 2.2421\n",
+      " and the parameters are [-2.2052314   3.07693523] -3.9070561337163676 ;\n",
+      "Epoch 250/1000, Cost: 4.3540\n",
+      " and the parameters are [-2.20527006  3.07686986] -3.9071358669409175 ;\n",
+      "Epoch 250/1000, Cost: 4.5071\n",
+      " and the parameters are [-2.20528753  3.07704152] -3.907055900181766 ;\n",
+      "Epoch 250/1000, Cost: 4.6328\n",
+      " and the parameters are [-2.2054245   3.07690404] -3.9071405091254077 ;\n",
+      "Epoch 250/1000, Cost: 4.0858\n",
+      " and the parameters are [-2.20540964  3.07680168] -3.907263812719551 ;\n",
+      "Epoch 250/1000, Cost: 6.8914\n",
+      " and the parameters are [-2.2054636   3.07674867] -3.9072836841547454 ;\n",
+      "Epoch 250/1000, Cost: 1.7396\n",
+      " and the parameters are [-2.20547783  3.07682379] -3.9072693603512327 ;\n",
+      "Epoch 250/1000, Cost: 3.8394\n",
+      " and the parameters are [-2.20547713  3.07687919] -3.907290891344582 ;\n",
+      "Epoch 250/1000, Cost: 2.8654\n",
+      " and the parameters are [-2.20549106  3.0769717 ] -3.9072761408850054 ;\n",
+      "Epoch 250/1000, Cost: 2.6704\n",
+      " and the parameters are [-2.20552495  3.07698179] -3.907301219320444 ;\n",
+      "Epoch 250/1000, Cost: 3.6611\n",
+      " and the parameters are [-2.20562012  3.07698949] -3.907301459529314 ;\n",
+      "Epoch 250/1000, Cost: 3.8610\n",
+      " and the parameters are [-2.20564091  3.07706814] -3.9073127852949514 ;\n",
+      "Epoch 250/1000, Cost: 7.9170\n",
+      " and the parameters are [-2.2056308   3.07708669] -3.9072977892154395 ;\n",
+      "Epoch 250/1000, Cost: 4.7644\n",
+      " and the parameters are [-2.20560437  3.07718382] -3.9072970497580215 ;\n",
+      "Epoch 250/1000, Cost: 6.9149\n",
+      " and the parameters are [-2.20560093  3.07713486] -3.907344790920171 ;\n",
+      "Epoch 250/1000, Cost: 6.1080\n",
+      " and the parameters are [-2.20557017  3.07718395] -3.9073302537144556 ;\n",
+      "Epoch 250/1000, Cost: 4.6200\n",
+      " and the parameters are [-2.20572055  3.07715736] -3.9073372733581184 ;\n",
+      "Epoch 250/1000, Cost: 4.0083\n",
+      " and the parameters are [-2.20574369  3.07717104] -3.907389960695435 ;\n",
+      "Epoch 250/1000, Cost: 4.0998\n",
+      " and the parameters are [-2.20577863  3.07717888] -3.907429134340018 ;\n",
+      "Epoch 250/1000, Cost: 3.0016\n",
+      " and the parameters are [-2.20576701  3.07723235] -3.9074575713297373 ;\n",
+      "Epoch 250/1000, Cost: 4.2703\n",
+      " and the parameters are [-2.20584825  3.07715524] -3.907526864544648 ;\n",
+      "Epoch 250/1000, Cost: 3.4084\n",
+      " and the parameters are [-2.20583091  3.07721164] -3.907546055621258 ;\n",
+      "Epoch 250/1000, Cost: 3.5056\n",
+      " and the parameters are [-2.20582817  3.07730101] -3.907537931223466 ;\n",
+      "Epoch 250/1000, Cost: 4.7641\n",
+      " and the parameters are [-2.20581784  3.07726835] -3.907603514306462 ;\n",
+      "Epoch 250/1000, Cost: 5.2295\n",
+      " and the parameters are [-2.20589099  3.07713149] -3.9077081207059643 ;\n",
+      "Epoch 250/1000, Cost: 2.8268\n",
+      " and the parameters are [-2.20583127  3.0771695 ] -3.907765331093913 ;\n",
+      "Epoch 250/1000, Cost: 7.7948\n",
+      " and the parameters are [-2.20581331  3.07710699] -3.907850250010557 ;\n",
+      "Epoch 250/1000, Cost: 2.5344\n",
+      " and the parameters are [-2.20582574  3.07710653] -3.9079089254907102 ;\n",
+      "Epoch 250/1000, Cost: 2.5039\n",
+      " and the parameters are [-2.20586663  3.07713057] -3.9079284050101055 ;\n",
+      "Epoch 250/1000, Cost: 2.5196\n",
+      " and the parameters are [-2.20587829  3.07715572] -3.907945287407326 ;\n",
+      "Epoch 250/1000, Cost: 4.5081\n",
+      " and the parameters are [-2.20585432  3.07724798] -3.9079520044519613 ;\n",
+      "Epoch 250/1000, Cost: 3.8235\n",
+      " and the parameters are [-2.20586479  3.07730558] -3.9079386644084186 ;\n",
+      "Epoch 250/1000, Cost: 2.2218\n",
+      " and the parameters are [-2.2059673   3.07729649] -3.907938803303366 ;\n",
+      "Epoch 250/1000, Cost: 4.8194\n",
+      " and the parameters are [-2.20599324  3.07723672] -3.9080228736008147 ;\n",
+      "Epoch 250/1000, Cost: 1.5355\n",
+      " and the parameters are [-2.20597268  3.07730217] -3.908032771166085 ;\n",
+      "Epoch 250/1000, Cost: 4.5336\n",
+      " and the parameters are [-2.20597915  3.07728281] -3.9080907164494416 ;\n",
+      "Epoch 250/1000, Cost: 8.6950\n",
+      " and the parameters are [-2.20612683  3.07721875] -3.908078107461902 ;\n",
+      "Epoch 250/1000, Cost: 2.1521\n",
+      " and the parameters are [-2.20611585  3.07734227] -3.9080363635726774 ;\n",
+      "Epoch 250/1000, Cost: 8.3906\n",
+      " and the parameters are [-2.20606577  3.07725184] -3.908165850397776 ;\n",
+      "Epoch 250/1000, Cost: 2.0808\n",
+      " and the parameters are [-2.20609313  3.07721307] -3.9082218029760623 ;\n",
+      "Epoch 250/1000, Cost: 4.2744\n",
+      " and the parameters are [-2.20614885  3.07720572] -3.9082406503691502 ;\n",
+      "Epoch 250/1000, Cost: 3.2243\n",
+      " and the parameters are [-2.20612303  3.07727414] -3.9082434175367236 ;\n",
+      "Epoch 250/1000, Cost: 2.7987\n",
+      " and the parameters are [-2.20615306  3.07734248] -3.9082304532488377 ;\n",
+      "Epoch 250/1000, Cost: 3.2030\n",
+      " and the parameters are [-2.20615577  3.07741721] -3.9082264702502405 ;\n",
+      "Epoch 250/1000, Cost: 5.3192\n",
+      " and the parameters are [-2.20614757  3.07751093] -3.908201584085948 ;\n",
+      "Epoch 250/1000, Cost: 6.6854\n",
+      " and the parameters are [-2.20619684  3.07757324] -3.9081609200689416 ;\n",
+      "Epoch 250/1000, Cost: 3.1084\n",
+      " and the parameters are [-2.20622117  3.07767886] -3.9081336019975046 ;\n",
+      "Epoch 250/1000, Cost: 3.6348\n",
+      " and the parameters are [-2.20619604  3.07773761] -3.9081391194059063 ;\n",
+      "Epoch 250/1000, Cost: 3.1984\n",
+      " and the parameters are [-2.20619128  3.07775819] -3.908198358357353 ;\n",
+      "Epoch 250/1000, Cost: 1.7094\n",
+      " and the parameters are [-2.20618697  3.07784705] -3.9081774136852485 ;\n",
+      "Epoch 250/1000, Cost: 3.6027\n",
+      " and the parameters are [-2.20620033  3.07777546] -3.9082784402773343 ;\n",
+      "Epoch 250/1000, Cost: 3.5851\n",
+      " and the parameters are [-2.2062233   3.07780249] -3.908297050506107 ;\n",
+      "Epoch 250/1000, Cost: 2.6812\n",
+      " and the parameters are [-2.2062197   3.07793012] -3.9082592093141506 ;\n",
+      "Epoch 250/1000, Cost: 3.1925\n",
+      " and the parameters are [-2.20620973  3.07799511] -3.9082797057658634 ;\n",
+      "Epoch 250/1000, Cost: 3.8958\n",
+      " and the parameters are [-2.2062185   3.07806612] -3.9082891719536854 ;\n",
+      "Epoch 250/1000, Cost: 5.4874\n",
+      " and the parameters are [-2.20631107  3.07797529] -3.908358583948709 ;\n",
+      "Epoch 250/1000, Cost: 3.2921\n",
+      " and the parameters are [-2.20637857  3.07792846] -3.9084022189577268 ;\n",
+      "Epoch 250/1000, Cost: 4.8832\n",
+      " and the parameters are [-2.20650088  3.07779375] -3.9084713873724652 ;\n",
+      "Epoch 250/1000, Cost: 4.5849\n",
+      " and the parameters are [-2.20648814  3.07776482] -3.908568047125219 ;\n",
+      "Epoch 250/1000, Cost: 2.0500\n",
+      " and the parameters are [-2.20650138  3.07784346] -3.9085501553982556 ;\n",
+      "Epoch 250/1000, Cost: 2.7269\n",
+      " and the parameters are [-2.20652027  3.07783855] -3.9085994562538144 ;\n",
+      "Epoch 250/1000, Cost: 4.3533\n",
+      " and the parameters are [-2.20648771  3.07795412] -3.908574861359809 ;\n",
+      "Epoch 250/1000, Cost: 3.1955\n",
+      " and the parameters are [-2.20654324  3.07796163] -3.9085960763538106 ;\n",
+      "Epoch 250/1000, Cost: 2.4799\n",
+      " and the parameters are [-2.20654291  3.07802124] -3.9086062764278404 ;\n",
+      "Epoch 250/1000, Cost: 2.6606\n",
+      " and the parameters are [-2.20656527  3.07805742] -3.9086118860286025 ;\n",
+      "Epoch 260/1000, Cost: 3.7075\n",
+      " and the parameters are [-2.2330969   3.11040238] -3.955713310734121 ;\n",
+      "Epoch 260/1000, Cost: 3.0257\n",
+      " and the parameters are [-2.23306884  3.11041887] -3.95575938478739 ;\n",
+      "Epoch 260/1000, Cost: 3.1433\n",
+      " and the parameters are [-2.23309603  3.11036989] -3.9558378082553536 ;\n",
+      "Epoch 260/1000, Cost: 4.1572\n",
+      " and the parameters are [-2.23315615  3.11040631] -3.955850384803884 ;\n",
+      "Epoch 260/1000, Cost: 4.5015\n",
+      " and the parameters are [-2.23322946  3.11052558] -3.9557807522732644 ;\n",
+      "Epoch 260/1000, Cost: 4.6178\n",
+      " and the parameters are [-2.23323026  3.110574  ] -3.9557814431793 ;\n",
+      "Epoch 260/1000, Cost: 3.1022\n",
+      " and the parameters are [-2.23326464  3.1106636 ] -3.9557506235277233 ;\n",
+      "Epoch 260/1000, Cost: 2.1251\n",
+      " and the parameters are [-2.23326168  3.11069051] -3.9557802662284027 ;\n",
+      "Epoch 260/1000, Cost: 5.4374\n",
+      " and the parameters are [-2.23330698  3.11064408] -3.9558230539058914 ;\n",
+      "Epoch 260/1000, Cost: 2.3340\n",
+      " and the parameters are [-2.23331613  3.11075908] -3.9557727162892595 ;\n",
+      "Epoch 260/1000, Cost: 3.6095\n",
+      " and the parameters are [-2.23329049  3.11072605] -3.9558711680048626 ;\n",
+      "Epoch 260/1000, Cost: 5.0468\n",
+      " and the parameters are [-2.23333499  3.11078408] -3.955841795796989 ;\n",
+      "Epoch 260/1000, Cost: 3.9059\n",
+      " and the parameters are [-2.23333436  3.11075055] -3.9559144562336304 ;\n",
+      "Epoch 260/1000, Cost: 1.6647\n",
+      " and the parameters are [-2.23330943  3.1108336 ] -3.9559106841485865 ;\n",
+      "Epoch 260/1000, Cost: 4.2160\n",
+      " and the parameters are [-2.23327622  3.11080384] -3.9560010811431607 ;\n",
+      "Epoch 260/1000, Cost: 3.2545\n",
+      " and the parameters are [-2.23330003  3.11088496] -3.9559772133398243 ;\n",
+      "Epoch 260/1000, Cost: 3.0484\n",
+      " and the parameters are [-2.2332693  3.1109139] -3.9560306125634797 ;\n",
+      "Epoch 260/1000, Cost: 2.7013\n",
+      " and the parameters are [-2.23334089  3.11086121] -3.9560835066668383 ;\n",
+      "Epoch 260/1000, Cost: 2.9282\n",
+      " and the parameters are [-2.23338511  3.11094802] -3.956023981630172 ;\n",
+      "Epoch 260/1000, Cost: 6.4954\n",
+      " and the parameters are [-2.23344823  3.11090869] -3.9560506876073265 ;\n",
+      "Epoch 260/1000, Cost: 2.4060\n",
+      " and the parameters are [-2.23345386  3.11096727] -3.9560569074828402 ;\n",
+      "Epoch 260/1000, Cost: 2.1879\n",
+      " and the parameters are [-2.23348417  3.11095958] -3.9560822101323683 ;\n",
+      "Epoch 260/1000, Cost: 3.8588\n",
+      " and the parameters are [-2.23352811  3.11093598] -3.9561315964707258 ;\n",
+      "Epoch 260/1000, Cost: 3.1516\n",
+      " and the parameters are [-2.23350376  3.1109352 ] -3.956181219269775 ;\n",
+      "Epoch 260/1000, Cost: 3.6934\n",
+      " and the parameters are [-2.23353009  3.11093866] -3.956213144349955 ;\n",
+      "Epoch 260/1000, Cost: 2.9097\n",
+      " and the parameters are [-2.23350441  3.11094182] -3.9562797987258675 ;\n",
+      "Epoch 260/1000, Cost: 3.1068\n",
+      " and the parameters are [-2.2335478   3.11093554] -3.956306356256072 ;\n",
+      "Epoch 260/1000, Cost: 5.8652\n",
+      " and the parameters are [-2.23355163  3.11103736] -3.9562358728543097 ;\n",
+      "Epoch 260/1000, Cost: 3.4344\n",
+      " and the parameters are [-2.23353698  3.11107471] -3.956265335065404 ;\n",
+      "Epoch 260/1000, Cost: 4.7680\n",
+      " and the parameters are [-2.23347008  3.11114063] -3.956313931460669 ;\n",
+      "Epoch 260/1000, Cost: 3.7805\n",
+      " and the parameters are [-2.23350366  3.11110074] -3.956375247109017 ;\n",
+      "Epoch 260/1000, Cost: 3.4128\n",
+      " and the parameters are [-2.23358014  3.1110225 ] -3.9564541412920877 ;\n",
+      "Epoch 260/1000, Cost: 4.9480\n",
+      " and the parameters are [-2.2336664   3.11098724] -3.956472995664925 ;\n",
+      "Epoch 260/1000, Cost: 4.1604\n",
+      " and the parameters are [-2.23369664  3.11093507] -3.9565635309313345 ;\n",
+      "Epoch 260/1000, Cost: 5.0045\n",
+      " and the parameters are [-2.23373365  3.11082634] -3.9566593533107426 ;\n",
+      "Epoch 260/1000, Cost: 7.1996\n",
+      " and the parameters are [-2.23379976  3.11066105] -3.9567764547111723 ;\n",
+      "Epoch 260/1000, Cost: 2.3038\n",
+      " and the parameters are [-2.23380279  3.11068887] -3.95679659137162 ;\n",
+      "Epoch 260/1000, Cost: 6.5223\n",
+      " and the parameters are [-2.23380979  3.11064806] -3.9568633008246654 ;\n",
+      "Epoch 260/1000, Cost: 4.9385\n",
+      " and the parameters are [-2.23393619  3.11049829] -3.9569330316646742 ;\n",
+      "Epoch 260/1000, Cost: 4.1068\n",
+      " and the parameters are [-2.23398342  3.11044091] -3.9570106670064678 ;\n",
+      "Epoch 260/1000, Cost: 7.3669\n",
+      " and the parameters are [-2.23396194  3.1104803 ] -3.957010610036283 ;\n",
+      "Epoch 260/1000, Cost: 4.8572\n",
+      " and the parameters are [-2.23393258  3.11050289] -3.9570450947134437 ;\n",
+      "Epoch 260/1000, Cost: 4.0574\n",
+      " and the parameters are [-2.23397155  3.11046931] -3.9571055107397473 ;\n",
+      "Epoch 260/1000, Cost: 3.7794\n",
+      " and the parameters are [-2.23404453  3.11037581] -3.9572014240240274 ;\n",
+      "Epoch 260/1000, Cost: 4.8384\n",
+      " and the parameters are [-2.23405818  3.11049813] -3.95714708628432 ;\n",
+      "Epoch 260/1000, Cost: 6.4810\n",
+      " and the parameters are [-2.23410489  3.11037231] -3.957243031901273 ;\n",
+      "Epoch 260/1000, Cost: 5.5228\n",
+      " and the parameters are [-2.23414807  3.11038724] -3.9572591869670495 ;\n",
+      "Epoch 260/1000, Cost: 2.0211\n",
+      " and the parameters are [-2.23417969  3.11036409] -3.9573160622652317 ;\n",
+      "Epoch 260/1000, Cost: 2.7132\n",
+      " and the parameters are [-2.23412094  3.11046406] -3.957315667517382 ;\n",
+      "Epoch 260/1000, Cost: 6.2165\n",
+      " and the parameters are [-2.23419324  3.11035131] -3.9573717379726934 ;\n",
+      "Epoch 260/1000, Cost: 2.2186\n",
+      " and the parameters are [-2.2341913   3.11034458] -3.957428078838671 ;\n",
+      "Epoch 260/1000, Cost: 8.0744\n",
+      " and the parameters are [-2.23416432  3.11032404] -3.9574747998213726 ;\n",
+      "Epoch 260/1000, Cost: 3.8816\n",
+      " and the parameters are [-2.23418429  3.11036452] -3.95749526101025 ;\n",
+      "Epoch 260/1000, Cost: 3.9926\n",
+      " and the parameters are [-2.23425047  3.1102638 ] -3.957599148231569 ;\n",
+      "Epoch 260/1000, Cost: 3.8371\n",
+      " and the parameters are [-2.23416503  3.11040891] -3.957592782440822 ;\n",
+      "Epoch 260/1000, Cost: 1.7004\n",
+      " and the parameters are [-2.23414632  3.11047777] -3.957589524742657 ;\n",
+      "Epoch 260/1000, Cost: 5.0460\n",
+      " and the parameters are [-2.23430945  3.11030819] -3.957677003357386 ;\n",
+      "Epoch 260/1000, Cost: 1.8463\n",
+      " and the parameters are [-2.23428581  3.11036047] -3.957702068069125 ;\n",
+      "Epoch 260/1000, Cost: 4.6301\n",
+      " and the parameters are [-2.23438448  3.1102901 ] -3.9577553279051183 ;\n",
+      "Epoch 260/1000, Cost: 2.8295\n",
+      " and the parameters are [-2.23441571  3.11038756] -3.957713162937255 ;\n",
+      "Epoch 260/1000, Cost: 8.9391\n",
+      " and the parameters are [-2.23434301  3.11044421] -3.9576998853333465 ;\n",
+      "Epoch 260/1000, Cost: 3.4740\n",
+      " and the parameters are [-2.2343788   3.11041515] -3.957760607982211 ;\n",
+      "Epoch 260/1000, Cost: 3.0354\n",
+      " and the parameters are [-2.23431307  3.11051795] -3.9577794926193035 ;\n",
+      "Epoch 260/1000, Cost: 5.8776\n",
+      " and the parameters are [-2.23446591  3.11041025] -3.9578040115099142 ;\n",
+      "Epoch 260/1000, Cost: 4.1470\n",
+      " and the parameters are [-2.23455837  3.11037907] -3.957817353609831 ;\n",
+      "Epoch 260/1000, Cost: 2.7172\n",
+      " and the parameters are [-2.23448718  3.11044433] -3.9578455713995413 ;\n",
+      "Epoch 260/1000, Cost: 2.8285\n",
+      " and the parameters are [-2.234474    3.11049081] -3.957878222016312 ;\n",
+      "Epoch 260/1000, Cost: 2.6348\n",
+      " and the parameters are [-2.23446664  3.11057873] -3.9578779700386186 ;\n",
+      "Epoch 260/1000, Cost: 5.2329\n",
+      " and the parameters are [-2.23444157  3.11061274] -3.957907830146162 ;\n",
+      "Epoch 260/1000, Cost: 2.0923\n",
+      " and the parameters are [-2.23446124  3.11070227] -3.9578864292430147 ;\n",
+      "Epoch 260/1000, Cost: 3.5780\n",
+      " and the parameters are [-2.23450756  3.1106656 ] -3.9579257169878352 ;\n",
+      "Epoch 260/1000, Cost: 2.7494\n",
+      " and the parameters are [-2.23453721  3.11061698] -3.9579897222482647 ;\n",
+      "Epoch 260/1000, Cost: 2.3977\n",
+      " and the parameters are [-2.23451904  3.11071249] -3.957983048099451 ;\n",
+      "Epoch 260/1000, Cost: 2.3991\n",
+      " and the parameters are [-2.23454045  3.11078662] -3.9579603321488874 ;\n",
+      "Epoch 260/1000, Cost: 5.6682\n",
+      " and the parameters are [-2.23461285  3.110661  ] -3.958081850934968 ;\n",
+      "Epoch 260/1000, Cost: 5.2918\n",
+      " and the parameters are [-2.23459073  3.11062889] -3.958165431998322 ;\n",
+      "Epoch 260/1000, Cost: 1.7488\n",
+      " and the parameters are [-2.2345572   3.11069287] -3.958181715740519 ;\n",
+      "Epoch 260/1000, Cost: 4.3497\n",
+      " and the parameters are [-2.23458922  3.11065261] -3.95824787099825 ;\n",
+      "Epoch 260/1000, Cost: 4.1636\n",
+      " and the parameters are [-2.23460548  3.11055874] -3.9583506506824966 ;\n",
+      "Epoch 260/1000, Cost: 4.0159\n",
+      " and the parameters are [-2.23459695  3.11059367] -3.958389594343495 ;\n",
+      "Epoch 260/1000, Cost: 3.0546\n",
+      " and the parameters are [-2.23456762  3.11063045] -3.9584305435351164 ;\n",
+      "Epoch 260/1000, Cost: 6.5601\n",
+      " and the parameters are [-2.23459549  3.11060857] -3.958456027458167 ;\n",
+      "Epoch 260/1000, Cost: 3.2597\n",
+      " and the parameters are [-2.23461005  3.11058085] -3.9585200101091282 ;\n",
+      "Epoch 260/1000, Cost: 4.8422\n",
+      " and the parameters are [-2.23464316  3.11054263] -3.958588205847856 ;\n",
+      "Epoch 260/1000, Cost: 3.3060\n",
+      " and the parameters are [-2.23468619  3.1106176 ] -3.9585653737562283 ;\n",
+      "Epoch 260/1000, Cost: 3.2005\n",
+      " and the parameters are [-2.23467761  3.11070878] -3.9585715277693594 ;\n",
+      "Epoch 260/1000, Cost: 2.0355\n",
+      " and the parameters are [-2.23464197  3.11071384] -3.958625121108933 ;\n",
+      "Epoch 260/1000, Cost: 5.3169\n",
+      " and the parameters are [-2.23469271  3.11075704] -3.958575058107279 ;\n",
+      "Epoch 260/1000, Cost: 4.5851\n",
+      " and the parameters are [-2.23472468  3.11073955] -3.9586267312791015 ;\n",
+      "Epoch 260/1000, Cost: 3.4376\n",
+      " and the parameters are [-2.23473319  3.11093689] -3.9585117897542723 ;\n",
+      "Epoch 260/1000, Cost: 1.9004\n",
+      " and the parameters are [-2.23469051  3.11101449] -3.9585263520906335 ;\n",
+      "Epoch 260/1000, Cost: 2.8578\n",
+      " and the parameters are [-2.23467138  3.11104123] -3.958574398480117 ;\n",
+      "Epoch 260/1000, Cost: 4.6817\n",
+      " and the parameters are [-2.2347043   3.11091083] -3.9586995381580756 ;\n",
+      "Epoch 260/1000, Cost: 5.0889\n",
+      " and the parameters are [-2.23467243  3.11092551] -3.9587488077309314 ;\n",
+      "Epoch 260/1000, Cost: 3.6280\n",
+      " and the parameters are [-2.23474546  3.11089659] -3.9587982728780147 ;\n",
+      "Epoch 260/1000, Cost: 5.8546\n",
+      " and the parameters are [-2.23472777  3.11093094] -3.9588165558918016 ;\n",
+      "Epoch 260/1000, Cost: 4.0473\n",
+      " and the parameters are [-2.23469788  3.1109668 ] -3.958873527084034 ;\n",
+      "Epoch 260/1000, Cost: 7.5319\n",
+      " and the parameters are [-2.23474837  3.11074659] -3.959044757030642 ;\n",
+      "Epoch 260/1000, Cost: 2.9196\n",
+      " and the parameters are [-2.23480131  3.11082668] -3.9590130520337405 ;\n",
+      "Epoch 260/1000, Cost: 2.1134\n",
+      " and the parameters are [-2.23483107  3.11086738] -3.9589993119894102 ;\n",
+      "Epoch 260/1000, Cost: 2.7345\n",
+      " and the parameters are [-2.23483959  3.11092675] -3.959010421645946 ;\n",
+      "Epoch 260/1000, Cost: 1.9011\n",
+      " and the parameters are [-2.23480812  3.11098442] -3.9590391583671574 ;\n",
+      "Epoch 260/1000, Cost: 4.4530\n",
+      " and the parameters are [-2.2349257   3.11079603] -3.959173102607539 ;\n",
+      "Epoch 260/1000, Cost: 3.2358\n",
+      " and the parameters are [-2.23495243  3.11069679] -3.9592727578956604 ;\n",
+      "Epoch 260/1000, Cost: 4.7815\n",
+      " and the parameters are [-2.23480851  3.11066479] -3.959401589955186 ;\n",
+      "Epoch 260/1000, Cost: 2.9105\n",
+      " and the parameters are [-2.23480157  3.11068742] -3.95944607266165 ;\n",
+      "Epoch 260/1000, Cost: 4.8124\n",
+      " and the parameters are [-2.23483048  3.11072429] -3.9594629810246493 ;\n",
+      "Epoch 260/1000, Cost: 3.2360\n",
+      " and the parameters are [-2.23478819  3.11078656] -3.959503432540719 ;\n",
+      "Epoch 260/1000, Cost: 4.7562\n",
+      " and the parameters are [-2.23472676  3.11100587] -3.95942077312275 ;\n",
+      "Epoch 260/1000, Cost: 1.5538\n",
+      " and the parameters are [-2.23476967  3.11098674] -3.9594568926322085 ;\n",
+      "Epoch 260/1000, Cost: 4.3586\n",
+      " and the parameters are [-2.23474032  3.11104343] -3.9594650388869366 ;\n",
+      "Epoch 260/1000, Cost: 4.4921\n",
+      " and the parameters are [-2.23481953  3.1109029 ] -3.9595765177350035 ;\n",
+      "Epoch 260/1000, Cost: 3.9209\n",
+      " and the parameters are [-2.23482476  3.11097224] -3.9595644161486296 ;\n",
+      "Epoch 260/1000, Cost: 3.3710\n",
+      " and the parameters are [-2.23489753  3.11093831] -3.9596047093545694 ;\n",
+      "Epoch 260/1000, Cost: 2.0128\n",
+      " and the parameters are [-2.23492667  3.11094981] -3.9596156076550946 ;\n",
+      "Epoch 260/1000, Cost: 3.1255\n",
+      " and the parameters are [-2.23497127  3.11101758] -3.9595722455620437 ;\n",
+      "Epoch 260/1000, Cost: 4.1575\n",
+      " and the parameters are [-2.23500565  3.111058  ] -3.959571705282268 ;\n",
+      "Epoch 260/1000, Cost: 4.2945\n",
+      " and the parameters are [-2.2350126   3.11116429] -3.9595295681693896 ;\n",
+      "Epoch 260/1000, Cost: 3.4059\n",
+      " and the parameters are [-2.23497886  3.11122894] -3.9595674072016966 ;\n",
+      "Epoch 260/1000, Cost: 2.3680\n",
+      " and the parameters are [-2.23505735  3.11126442] -3.9595488599454187 ;\n",
+      "Epoch 260/1000, Cost: 4.2740\n",
+      " and the parameters are [-2.23509761  3.11137302] -3.9595067024472717 ;\n",
+      "Epoch 260/1000, Cost: 1.1489\n",
+      " and the parameters are [-2.23511488  3.11139536] -3.9595236786558896 ;\n",
+      "Epoch 260/1000, Cost: 3.8157\n",
+      " and the parameters are [-2.23518435  3.11131637] -3.9595883692318576 ;\n",
+      "Epoch 260/1000, Cost: 2.9756\n",
+      " and the parameters are [-2.2351657  3.1113899] -3.9595800397935683 ;\n",
+      "Epoch 260/1000, Cost: 3.1403\n",
+      " and the parameters are [-2.2351197  3.1115224] -3.9595492291247063 ;\n",
+      "Epoch 260/1000, Cost: 3.4106\n",
+      " and the parameters are [-2.23512692  3.11149742] -3.9596218009579354 ;\n",
+      "Epoch 260/1000, Cost: 8.3263\n",
+      " and the parameters are [-2.23511368  3.11161262] -3.959542074575449 ;\n",
+      "Epoch 260/1000, Cost: 8.1253\n",
+      " and the parameters are [-2.23509028  3.11144935] -3.9597242626528484 ;\n",
+      "Epoch 260/1000, Cost: 2.9640\n",
+      " and the parameters are [-2.23503792  3.11155701] -3.9597227569416145 ;\n",
+      "Epoch 260/1000, Cost: 9.2546\n",
+      " and the parameters are [-2.23497728  3.11178623] -3.959604624426697 ;\n",
+      "Epoch 260/1000, Cost: 4.7519\n",
+      " and the parameters are [-2.23494     3.11180211] -3.959653929292451 ;\n",
+      "Epoch 260/1000, Cost: 3.4883\n",
+      " and the parameters are [-2.23495059  3.11195571] -3.959584768149458 ;\n",
+      "Epoch 260/1000, Cost: 5.2284\n",
+      " and the parameters are [-2.23489923  3.11198275] -3.9596274361066457 ;\n",
+      "Epoch 260/1000, Cost: 7.7933\n",
+      " and the parameters are [-2.23480002  3.11211575] -3.9596094838704814 ;\n",
+      "Epoch 260/1000, Cost: 4.1380\n",
+      " and the parameters are [-2.23482651  3.11215516] -3.959609254763373 ;\n",
+      "Epoch 260/1000, Cost: 4.3359\n",
+      " and the parameters are [-2.23486529  3.11214654] -3.9596497903598316 ;\n",
+      "Epoch 260/1000, Cost: 1.9191\n",
+      " and the parameters are [-2.23486597  3.11219046] -3.959667377216485 ;\n",
+      "Epoch 260/1000, Cost: 4.5315\n",
+      " and the parameters are [-2.23493549  3.11232517] -3.9595717584921557 ;\n",
+      "Epoch 260/1000, Cost: 2.5829\n",
+      " and the parameters are [-2.23494389  3.11243116] -3.9595287526661727 ;\n",
+      "Epoch 260/1000, Cost: 6.7183\n",
+      " and the parameters are [-2.23491999  3.11255891] -3.9594793156619805 ;\n",
+      "Epoch 260/1000, Cost: 5.4340\n",
+      " and the parameters are [-2.23494307  3.11249989] -3.9595582946815346 ;\n",
+      "Epoch 260/1000, Cost: 3.6342\n",
+      " and the parameters are [-2.23499585  3.11238755] -3.9596488221461135 ;\n",
+      "Epoch 260/1000, Cost: 2.3982\n",
+      " and the parameters are [-2.23499567  3.11247692] -3.959643766707629 ;\n",
+      "Epoch 260/1000, Cost: 2.0118\n",
+      " and the parameters are [-2.2350392   3.11251107] -3.959636504288211 ;\n",
+      "Epoch 260/1000, Cost: 4.0209\n",
+      " and the parameters are [-2.23518111  3.11244792] -3.9596344620095083 ;\n",
+      "Epoch 260/1000, Cost: 3.3082\n",
+      " and the parameters are [-2.23520586  3.11242792] -3.9596836253446104 ;\n",
+      "Epoch 260/1000, Cost: 2.7321\n",
+      " and the parameters are [-2.2352002  3.1125195] -3.9596687826263963 ;\n",
+      "Epoch 260/1000, Cost: 4.4375\n",
+      " and the parameters are [-2.23522362  3.11240883] -3.9598018626850684 ;\n",
+      "Epoch 260/1000, Cost: 4.6653\n",
+      " and the parameters are [-2.23527333  3.11246145] -3.959768719734676 ;\n",
+      "Epoch 260/1000, Cost: 5.5703\n",
+      " and the parameters are [-2.23534808  3.11240495] -3.9598154004501507 ;\n",
+      "Epoch 260/1000, Cost: 5.9840\n",
+      " and the parameters are [-2.23536955  3.11226911] -3.9599497891671653 ;\n",
+      "Epoch 260/1000, Cost: 4.8811\n",
+      " and the parameters are [-2.23531003  3.11230291] -3.960001806005297 ;\n",
+      "Epoch 260/1000, Cost: 3.3719\n",
+      " and the parameters are [-2.23524778  3.11231201] -3.960077790578603 ;\n",
+      "Epoch 260/1000, Cost: 5.4280\n",
+      " and the parameters are [-2.23527943  3.11235805] -3.960053949035171 ;\n",
+      "Epoch 260/1000, Cost: 5.8333\n",
+      " and the parameters are [-2.23534552  3.1122493 ] -3.960138361429119 ;\n",
+      "Epoch 260/1000, Cost: 4.2979\n",
+      " and the parameters are [-2.23532993  3.11238777] -3.9601145586474837 ;\n",
+      "Epoch 260/1000, Cost: 3.0503\n",
+      " and the parameters are [-2.23533078  3.11245216] -3.9601234759405797 ;\n",
+      "Epoch 260/1000, Cost: 1.8712\n",
+      " and the parameters are [-2.23529547  3.11246417] -3.9601816107298107 ;\n",
+      "Epoch 260/1000, Cost: 5.2740\n",
+      " and the parameters are [-2.23531553  3.11238708] -3.9602700232038806 ;\n",
+      "Epoch 260/1000, Cost: 2.8579\n",
+      " and the parameters are [-2.2352992   3.11239576] -3.9603317299482854 ;\n",
+      "Epoch 260/1000, Cost: 2.8756\n",
+      " and the parameters are [-2.23528534  3.11251097] -3.9603138013713477 ;\n",
+      "Epoch 260/1000, Cost: 3.6652\n",
+      " and the parameters are [-2.23532994  3.11250524] -3.960350666927519 ;\n",
+      "Epoch 260/1000, Cost: 7.1001\n",
+      " and the parameters are [-2.2353653   3.11258381] -3.960299046949924 ;\n",
+      "Epoch 260/1000, Cost: 5.1958\n",
+      " and the parameters are [-2.23535507  3.1124638 ] -3.9604440903962517 ;\n",
+      "Epoch 260/1000, Cost: 1.9076\n",
+      " and the parameters are [-2.23537338  3.11248331] -3.960469947709258 ;\n",
+      "Epoch 260/1000, Cost: 2.5657\n",
+      " and the parameters are [-2.23536368  3.11250695] -3.960513217089015 ;\n",
+      "Epoch 260/1000, Cost: 2.4844\n",
+      " and the parameters are [-2.2353729   3.11253629] -3.9605234836199665 ;\n",
+      "Epoch 260/1000, Cost: 4.0538\n",
+      " and the parameters are [-2.23535829  3.11256584] -3.9605703796878062 ;\n",
+      "Epoch 260/1000, Cost: 4.2257\n",
+      " and the parameters are [-2.23537651  3.11269999] -3.960523986446064 ;\n",
+      "Epoch 260/1000, Cost: 5.0449\n",
+      " and the parameters are [-2.23540662  3.11271   ] -3.9605388224790303 ;\n",
+      "Epoch 260/1000, Cost: 2.8414\n",
+      " and the parameters are [-2.23542456  3.11283977] -3.9604893854578225 ;\n",
+      "Epoch 260/1000, Cost: 2.2341\n",
+      " and the parameters are [-2.23542413  3.11295698] -3.9604423836159177 ;\n",
+      "Epoch 260/1000, Cost: 5.2566\n",
+      " and the parameters are [-2.2354658   3.11288851] -3.9605051329956997 ;\n",
+      "Epoch 260/1000, Cost: 4.0361\n",
+      " and the parameters are [-2.23540643  3.11299971] -3.960497161425051 ;\n",
+      "Epoch 260/1000, Cost: 2.6323\n",
+      " and the parameters are [-2.23539277  3.11307976] -3.9604945913117873 ;\n",
+      "Epoch 260/1000, Cost: 2.5717\n",
+      " and the parameters are [-2.23541276  3.11322997] -3.9604213667410395 ;\n",
+      "Epoch 260/1000, Cost: 4.9855\n",
+      " and the parameters are [-2.23536114  3.11328445] -3.960449269808033 ;\n",
+      "Epoch 260/1000, Cost: 3.5498\n",
+      " and the parameters are [-2.23537648  3.11334315] -3.960462651645118 ;\n",
+      "Epoch 260/1000, Cost: 3.2210\n",
+      " and the parameters are [-2.2354625   3.11337633] -3.960457383067482 ;\n",
+      "Epoch 260/1000, Cost: 6.0182\n",
+      " and the parameters are [-2.23543631  3.11341508] -3.960483132823354 ;\n",
+      "Epoch 260/1000, Cost: 1.2640\n",
+      " and the parameters are [-2.23542486  3.11348127] -3.9604833167077977 ;\n",
+      "Epoch 260/1000, Cost: 4.8156\n",
+      " and the parameters are [-2.23545074  3.11359191] -3.96044933931432 ;\n",
+      "Epoch 260/1000, Cost: 2.8766\n",
+      " and the parameters are [-2.23548406  3.11368124] -3.960415888217201 ;\n",
+      "Epoch 260/1000, Cost: 4.5110\n",
+      " and the parameters are [-2.23543573  3.11377861] -3.960420559300857 ;\n",
+      "Epoch 260/1000, Cost: 4.5230\n",
+      " and the parameters are [-2.2354839   3.11373433] -3.960494549243974 ;\n",
+      "Epoch 260/1000, Cost: 3.4358\n",
+      " and the parameters are [-2.23566266  3.11360846] -3.9605486376752768 ;\n",
+      "Epoch 260/1000, Cost: 3.4089\n",
+      " and the parameters are [-2.23565226  3.11374518] -3.960509211279672 ;\n",
+      "Epoch 260/1000, Cost: 4.5296\n",
+      " and the parameters are [-2.2356944   3.11369421] -3.960588312795411 ;\n",
+      "Epoch 260/1000, Cost: 2.4418\n",
+      " and the parameters are [-2.23574567  3.11372237] -3.960583115381988 ;\n",
+      "Epoch 260/1000, Cost: 2.1202\n",
+      " and the parameters are [-2.23573569  3.11383071] -3.960548542409927 ;\n",
+      "Epoch 260/1000, Cost: 7.1078\n",
+      " and the parameters are [-2.23572512  3.11373398] -3.960633061018674 ;\n",
+      "Epoch 260/1000, Cost: 2.8341\n",
+      " and the parameters are [-2.23574812  3.1137985 ] -3.9606096198190297 ;\n",
+      "Epoch 260/1000, Cost: 2.1007\n",
+      " and the parameters are [-2.23580235  3.11382962] -3.96060810669303 ;\n",
+      "Epoch 260/1000, Cost: 3.3468\n",
+      " and the parameters are [-2.23575287  3.11385924] -3.9606589032701662 ;\n",
+      "Epoch 260/1000, Cost: 4.5553\n",
+      " and the parameters are [-2.23578312  3.11380838] -3.9607302838669725 ;\n",
+      "Epoch 260/1000, Cost: 3.3176\n",
+      " and the parameters are [-2.23584276  3.11376122] -3.9607903862788123 ;\n",
+      "Epoch 260/1000, Cost: 5.7039\n",
+      " and the parameters are [-2.23584275  3.1138348 ] -3.960782538027226 ;\n",
+      "Epoch 260/1000, Cost: 2.2865\n",
+      " and the parameters are [-2.23583854  3.11393543] -3.960765092410528 ;\n",
+      "Epoch 260/1000, Cost: 2.2500\n",
+      " and the parameters are [-2.2358129   3.11400751] -3.9607634029524466 ;\n",
+      "Epoch 260/1000, Cost: 4.9895\n",
+      " and the parameters are [-2.23593807  3.11389347] -3.9608537510690565 ;\n",
+      "Epoch 270/1000, Cost: 3.5522\n",
+      " and the parameters are [-2.2615905   3.14500145] -4.0064634869040345 ;\n",
+      "Epoch 270/1000, Cost: 3.5230\n",
+      " and the parameters are [-2.26160901  3.14503856] -4.006484791273116 ;\n",
+      "Epoch 270/1000, Cost: 3.9550\n",
+      " and the parameters are [-2.26167712  3.14507454] -4.006487833217932 ;\n",
+      "Epoch 270/1000, Cost: 3.3433\n",
+      " and the parameters are [-2.26171843  3.14501516] -4.006562539163111 ;\n",
+      "Epoch 270/1000, Cost: 6.0045\n",
+      " and the parameters are [-2.26175104  3.14494738] -4.006649008631972 ;\n",
+      "Epoch 270/1000, Cost: 4.0312\n",
+      " and the parameters are [-2.26179055  3.14489085] -4.006721078774207 ;\n",
+      "Epoch 270/1000, Cost: 5.9967\n",
+      " and the parameters are [-2.26188932  3.14480718] -4.006781136605068 ;\n",
+      "Epoch 270/1000, Cost: 3.8558\n",
+      " and the parameters are [-2.26186848  3.14488741] -4.006792682401901 ;\n",
+      "Epoch 270/1000, Cost: 2.7665\n",
+      " and the parameters are [-2.26184953  3.14489731] -4.006841004197387 ;\n",
+      "Epoch 270/1000, Cost: 4.2178\n",
+      " and the parameters are [-2.26174321  3.14496365] -4.006920581886913 ;\n",
+      "Epoch 270/1000, Cost: 4.1201\n",
+      " and the parameters are [-2.2617387   3.14493275] -4.00700464270964 ;\n",
+      "Epoch 270/1000, Cost: 1.6800\n",
+      " and the parameters are [-2.26177356  3.14496573] -4.006998136572449 ;\n",
+      "Epoch 270/1000, Cost: 4.6006\n",
+      " and the parameters are [-2.26177392  3.14491849] -4.0070642365893585 ;\n",
+      "Epoch 270/1000, Cost: 6.9417\n",
+      " and the parameters are [-2.26183827  3.14473911] -4.007204163041752 ;\n",
+      "Epoch 270/1000, Cost: 4.7125\n",
+      " and the parameters are [-2.26185854  3.14465939] -4.007305388429209 ;\n",
+      "Epoch 270/1000, Cost: 3.5367\n",
+      " and the parameters are [-2.26188808  3.14461741] -4.007374841998574 ;\n",
+      "Epoch 270/1000, Cost: 2.7344\n",
+      " and the parameters are [-2.26187645  3.14468845] -4.007374675085995 ;\n",
+      "Epoch 270/1000, Cost: 3.9234\n",
+      " and the parameters are [-2.26182366  3.14471715] -4.007429314322876 ;\n",
+      "Epoch 270/1000, Cost: 2.0937\n",
+      " and the parameters are [-2.2617821   3.14484445] -4.007408328463425 ;\n",
+      "Epoch 270/1000, Cost: 2.8680\n",
+      " and the parameters are [-2.26180204  3.14490698] -4.007410332676388 ;\n",
+      "Epoch 270/1000, Cost: 2.9738\n",
+      " and the parameters are [-2.26175827  3.14503975] -4.007382927670711 ;\n",
+      "Epoch 270/1000, Cost: 1.9763\n",
+      " and the parameters are [-2.26172609  3.14515015] -4.007368147261106 ;\n",
+      "Epoch 270/1000, Cost: 4.4578\n",
+      " and the parameters are [-2.26182517  3.14510069] -4.007405906258891 ;\n",
+      "Epoch 270/1000, Cost: 1.5601\n",
+      " and the parameters are [-2.26185191  3.14514742] -4.007404422920239 ;\n",
+      "Epoch 270/1000, Cost: 3.2865\n",
+      " and the parameters are [-2.26186665  3.14523145] -4.007384606463721 ;\n",
+      "Epoch 270/1000, Cost: 4.5154\n",
+      " and the parameters are [-2.26191734  3.14527418] -4.007374874437246 ;\n",
+      "Epoch 270/1000, Cost: 4.8349\n",
+      " and the parameters are [-2.26189866  3.14520993] -4.0074732515355835 ;\n",
+      "Epoch 270/1000, Cost: 2.2294\n",
+      " and the parameters are [-2.26195146  3.14521741] -4.007498759704472 ;\n",
+      "Epoch 270/1000, Cost: 4.0504\n",
+      " and the parameters are [-2.26204809  3.14514277] -4.007553535907587 ;\n",
+      "Epoch 270/1000, Cost: 2.6860\n",
+      " and the parameters are [-2.26205384  3.14522455] -4.00754445085635 ;\n",
+      "Epoch 270/1000, Cost: 3.5471\n",
+      " and the parameters are [-2.26199148  3.14527957] -4.007595401267772 ;\n",
+      "Epoch 270/1000, Cost: 2.2130\n",
+      " and the parameters are [-2.26200588  3.14532485] -4.007606530925481 ;\n",
+      "Epoch 270/1000, Cost: 3.9735\n",
+      " and the parameters are [-2.26206497  3.14518997] -4.007723868921704 ;\n",
+      "Epoch 270/1000, Cost: 3.1869\n",
+      " and the parameters are [-2.26198389  3.14537529] -4.007682966406203 ;\n",
+      "Epoch 270/1000, Cost: 5.5935\n",
+      " and the parameters are [-2.26190329  3.14552734] -4.007677263584751 ;\n",
+      "Epoch 270/1000, Cost: 5.6786\n",
+      " and the parameters are [-2.26185149  3.14551522] -4.007756474123149 ;\n",
+      "Epoch 270/1000, Cost: 4.6421\n",
+      " and the parameters are [-2.26192794  3.14544046] -4.007798934790628 ;\n",
+      "Epoch 270/1000, Cost: 4.3011\n",
+      " and the parameters are [-2.26195831  3.1454484 ] -4.007814650115672 ;\n",
+      "Epoch 270/1000, Cost: 2.2902\n",
+      " and the parameters are [-2.26194795  3.14551941] -4.00781026745075 ;\n",
+      "Epoch 270/1000, Cost: 3.9576\n",
+      " and the parameters are [-2.26198118  3.14549661] -4.007856556109376 ;\n",
+      "Epoch 270/1000, Cost: 5.4747\n",
+      " and the parameters are [-2.26192175  3.14555295] -4.007882316194604 ;\n",
+      "Epoch 270/1000, Cost: 5.5977\n",
+      " and the parameters are [-2.26192778  3.14542037] -4.008037774706101 ;\n",
+      "Epoch 270/1000, Cost: 3.8163\n",
+      " and the parameters are [-2.26197903  3.14543768] -4.008056177561382 ;\n",
+      "Epoch 270/1000, Cost: 4.5185\n",
+      " and the parameters are [-2.26205737  3.1454224 ] -4.008051162101737 ;\n",
+      "Epoch 270/1000, Cost: 4.4275\n",
+      " and the parameters are [-2.26206813  3.14546859] -4.0080484354059775 ;\n",
+      "Epoch 270/1000, Cost: 4.4497\n",
+      " and the parameters are [-2.26209211  3.14554897] -4.007989133660443 ;\n",
+      "Epoch 270/1000, Cost: 2.0128\n",
+      " and the parameters are [-2.26210384  3.14559564] -4.0079982502513625 ;\n",
+      "Epoch 270/1000, Cost: 2.3428\n",
+      " and the parameters are [-2.26212166  3.1457054 ] -4.007944020883208 ;\n",
+      "Epoch 270/1000, Cost: 4.6978\n",
+      " and the parameters are [-2.26215439  3.14565199] -4.007998581914478 ;\n",
+      "Epoch 270/1000, Cost: 4.1591\n",
+      " and the parameters are [-2.26220316  3.14556718] -4.008056393605863 ;\n",
+      "Epoch 270/1000, Cost: 2.4739\n",
+      " and the parameters are [-2.26222744  3.14562523] -4.008049567042344 ;\n",
+      "Epoch 270/1000, Cost: 4.7105\n",
+      " and the parameters are [-2.26226611  3.14558893] -4.008124405130232 ;\n",
+      "Epoch 270/1000, Cost: 3.3133\n",
+      " and the parameters are [-2.26229206  3.14552018] -4.008202631946536 ;\n",
+      "Epoch 270/1000, Cost: 1.6232\n",
+      " and the parameters are [-2.26228534  3.14559519] -4.008197170921791 ;\n",
+      "Epoch 270/1000, Cost: 4.7970\n",
+      " and the parameters are [-2.26232591  3.14561652] -4.0082196757348285 ;\n",
+      "Epoch 270/1000, Cost: 5.0022\n",
+      " and the parameters are [-2.26233062  3.1457316 ] -4.008157239360475 ;\n",
+      "Epoch 270/1000, Cost: 2.2810\n",
+      " and the parameters are [-2.26240873  3.14576778] -4.008131042501622 ;\n",
+      "Epoch 270/1000, Cost: 4.7771\n",
+      " and the parameters are [-2.26242544  3.14579456] -4.0081557315330185 ;\n",
+      "Epoch 270/1000, Cost: 4.2693\n",
+      " and the parameters are [-2.26241683  3.14576499] -4.008243212709394 ;\n",
+      "Epoch 270/1000, Cost: 4.6154\n",
+      " and the parameters are [-2.2624709   3.14572089] -4.008292153048871 ;\n",
+      "Epoch 270/1000, Cost: 2.2831\n",
+      " and the parameters are [-2.26245536  3.14577818] -4.008309206219512 ;\n",
+      "Epoch 270/1000, Cost: 1.4290\n",
+      " and the parameters are [-2.26245768  3.14584225] -4.008302082887399 ;\n",
+      "Epoch 270/1000, Cost: 3.7414\n",
+      " and the parameters are [-2.26245658  3.14598384] -4.008242171992749 ;\n",
+      "Epoch 270/1000, Cost: 3.2218\n",
+      " and the parameters are [-2.26243557  3.14616177] -4.008179882544386 ;\n",
+      "Epoch 270/1000, Cost: 1.6572\n",
+      " and the parameters are [-2.26244466  3.14618029] -4.008208470168611 ;\n",
+      "Epoch 270/1000, Cost: 2.5481\n",
+      " and the parameters are [-2.26246118  3.14613964] -4.008279025667313 ;\n",
+      "Epoch 270/1000, Cost: 5.2921\n",
+      " and the parameters are [-2.26254062  3.14606656] -4.008304293495568 ;\n",
+      "Epoch 270/1000, Cost: 4.7600\n",
+      " and the parameters are [-2.26255927  3.1460674 ] -4.008332028174969 ;\n",
+      "Epoch 270/1000, Cost: 9.5748\n",
+      " and the parameters are [-2.26250508  3.14618681] -4.008235201376513 ;\n",
+      "Epoch 270/1000, Cost: 3.6993\n",
+      " and the parameters are [-2.26259605  3.14616885] -4.008245737055682 ;\n",
+      "Epoch 270/1000, Cost: 3.7527\n",
+      " and the parameters are [-2.26260467  3.14625623] -4.008216481651437 ;\n",
+      "Epoch 270/1000, Cost: 5.0213\n",
+      " and the parameters are [-2.26254695  3.1462576 ] -4.008278178226594 ;\n",
+      "Epoch 270/1000, Cost: 1.8711\n",
+      " and the parameters are [-2.26255862  3.14627445] -4.008311585687047 ;\n",
+      "Epoch 270/1000, Cost: 5.4305\n",
+      " and the parameters are [-2.262554    3.14635695] -4.0082829435301255 ;\n",
+      "Epoch 270/1000, Cost: 4.3199\n",
+      " and the parameters are [-2.26252361  3.1464762 ] -4.008240889649825 ;\n",
+      "Epoch 270/1000, Cost: 5.3875\n",
+      " and the parameters are [-2.26247376  3.14650969] -4.008256573935284 ;\n",
+      "Epoch 270/1000, Cost: 2.7378\n",
+      " and the parameters are [-2.26246622  3.14656073] -4.008272666147299 ;\n",
+      "Epoch 270/1000, Cost: 4.5011\n",
+      " and the parameters are [-2.26247063  3.14663555] -4.008259741853243 ;\n",
+      "Epoch 270/1000, Cost: 6.4576\n",
+      " and the parameters are [-2.26263665  3.14633756] -4.008431403346236 ;\n",
+      "Epoch 270/1000, Cost: 5.3075\n",
+      " and the parameters are [-2.26269333  3.14628504] -4.008450134873333 ;\n",
+      "Epoch 270/1000, Cost: 5.8335\n",
+      " and the parameters are [-2.26271361  3.14626542] -4.008488004795865 ;\n",
+      "Epoch 270/1000, Cost: 5.2124\n",
+      " and the parameters are [-2.26275383  3.14631736] -4.008477375243079 ;\n",
+      "Epoch 270/1000, Cost: 2.3367\n",
+      " and the parameters are [-2.26269734  3.14642294] -4.0084769310997785 ;\n",
+      "Epoch 270/1000, Cost: 5.4789\n",
+      " and the parameters are [-2.26269924  3.14647199] -4.008453533870417 ;\n",
+      "Epoch 270/1000, Cost: 2.5465\n",
+      " and the parameters are [-2.26271612  3.14647068] -4.008493251871729 ;\n",
+      "Epoch 270/1000, Cost: 5.2889\n",
+      " and the parameters are [-2.26277995  3.14650772] -4.008459866831007 ;\n",
+      "Epoch 270/1000, Cost: 4.5927\n",
+      " and the parameters are [-2.2626298   3.14656556] -4.008557028591563 ;\n",
+      "Epoch 270/1000, Cost: 3.9055\n",
+      " and the parameters are [-2.26262421  3.146532  ] -4.008641258745314 ;\n",
+      "Epoch 270/1000, Cost: 3.0985\n",
+      " and the parameters are [-2.26262815  3.14659412] -4.008645476643057 ;\n",
+      "Epoch 270/1000, Cost: 4.6679\n",
+      " and the parameters are [-2.26265061  3.14658586] -4.008666773663774 ;\n",
+      "Epoch 270/1000, Cost: 3.7196\n",
+      " and the parameters are [-2.26266373  3.14655854] -4.008726585099352 ;\n",
+      "Epoch 270/1000, Cost: 3.8050\n",
+      " and the parameters are [-2.26267036  3.14664276] -4.008715106304532 ;\n",
+      "Epoch 270/1000, Cost: 3.3241\n",
+      " and the parameters are [-2.26264719  3.14677141] -4.008676086994901 ;\n",
+      "Epoch 270/1000, Cost: 2.6497\n",
+      " and the parameters are [-2.26270625  3.14675332] -4.008714250783642 ;\n",
+      "Epoch 270/1000, Cost: 6.8051\n",
+      " and the parameters are [-2.26269242  3.14664121] -4.008841858884523 ;\n",
+      "Epoch 270/1000, Cost: 3.0170\n",
+      " and the parameters are [-2.26268204  3.14667525] -4.008876563717942 ;\n",
+      "Epoch 270/1000, Cost: 3.5765\n",
+      " and the parameters are [-2.26265678  3.14675777] -4.008885333840609 ;\n",
+      "Epoch 270/1000, Cost: 2.6307\n",
+      " and the parameters are [-2.26269209  3.14677854] -4.008913077111097 ;\n",
+      "Epoch 270/1000, Cost: 4.9898\n",
+      " and the parameters are [-2.26263929  3.14679625] -4.008954655473733 ;\n",
+      "Epoch 270/1000, Cost: 4.1707\n",
+      " and the parameters are [-2.26267661  3.14669206] -4.009064611690687 ;\n",
+      "Epoch 270/1000, Cost: 3.6244\n",
+      " and the parameters are [-2.26264907  3.14677179] -4.009061894368116 ;\n",
+      "Epoch 270/1000, Cost: 3.0846\n",
+      " and the parameters are [-2.26268269  3.14678495] -4.009084508327353 ;\n",
+      "Epoch 270/1000, Cost: 5.3255\n",
+      " and the parameters are [-2.26265807  3.14681574] -4.0091143282323065 ;\n",
+      "Epoch 270/1000, Cost: 4.7335\n",
+      " and the parameters are [-2.26264842  3.14673308] -4.00923605785991 ;\n",
+      "Epoch 270/1000, Cost: 3.4020\n",
+      " and the parameters are [-2.26265953  3.14680867] -4.009216027397966 ;\n",
+      "Epoch 270/1000, Cost: 3.0200\n",
+      " and the parameters are [-2.26272893  3.146724  ] -4.009279550786851 ;\n",
+      "Epoch 270/1000, Cost: 2.7999\n",
+      " and the parameters are [-2.26272001  3.14673518] -4.009322197650095 ;\n",
+      "Epoch 270/1000, Cost: 6.0929\n",
+      " and the parameters are [-2.26281889  3.14666811] -4.0093705223845495 ;\n",
+      "Epoch 270/1000, Cost: 2.5977\n",
+      " and the parameters are [-2.262845    3.14659368] -4.009460602260949 ;\n",
+      "Epoch 270/1000, Cost: 2.1039\n",
+      " and the parameters are [-2.26286543  3.14663548] -4.009472115016509 ;\n",
+      "Epoch 270/1000, Cost: 3.5106\n",
+      " and the parameters are [-2.26283863  3.14664164] -4.009536746116971 ;\n",
+      "Epoch 270/1000, Cost: 3.3074\n",
+      " and the parameters are [-2.26279527  3.14670449] -4.00953655930253 ;\n",
+      "Epoch 270/1000, Cost: 3.8811\n",
+      " and the parameters are [-2.26281846  3.1467889 ] -4.009505676991411 ;\n",
+      "Epoch 270/1000, Cost: 2.9468\n",
+      " and the parameters are [-2.26284541  3.14686323] -4.009475976263373 ;\n",
+      "Epoch 270/1000, Cost: 1.9679\n",
+      " and the parameters are [-2.26291493  3.14678943] -4.0095394057880185 ;\n",
+      "Epoch 270/1000, Cost: 3.5864\n",
+      " and the parameters are [-2.26292357  3.14691621] -4.009473495455271 ;\n",
+      "Epoch 270/1000, Cost: 3.1368\n",
+      " and the parameters are [-2.26299309  3.14686305] -4.0095441482618215 ;\n",
+      "Epoch 270/1000, Cost: 5.5538\n",
+      " and the parameters are [-2.26317179  3.14676928] -4.009540516877726 ;\n",
+      "Epoch 270/1000, Cost: 4.3090\n",
+      " and the parameters are [-2.26311503  3.14685867] -4.009554783003267 ;\n",
+      "Epoch 270/1000, Cost: 5.9119\n",
+      " and the parameters are [-2.26312896  3.14681243] -4.009602544276191 ;\n",
+      "Epoch 270/1000, Cost: 4.4782\n",
+      " and the parameters are [-2.26314654  3.14677586] -4.009650717248309 ;\n",
+      "Epoch 270/1000, Cost: 3.7773\n",
+      " and the parameters are [-2.26309813  3.14681304] -4.009703459687048 ;\n",
+      "Epoch 270/1000, Cost: 4.2983\n",
+      " and the parameters are [-2.26312387  3.14682794] -4.0097311534760625 ;\n",
+      "Epoch 270/1000, Cost: 4.4877\n",
+      " and the parameters are [-2.26308794  3.14683608] -4.009796524728206 ;\n",
+      "Epoch 270/1000, Cost: 4.0954\n",
+      " and the parameters are [-2.26306801  3.14684304] -4.009871498468566 ;\n",
+      "Epoch 270/1000, Cost: 5.8695\n",
+      " and the parameters are [-2.26305823  3.14689173] -4.009874501678434 ;\n",
+      "Epoch 270/1000, Cost: 4.3856\n",
+      " and the parameters are [-2.26307687  3.14695683] -4.009840883193101 ;\n",
+      "Epoch 270/1000, Cost: 4.5200\n",
+      " and the parameters are [-2.26307961  3.14697396] -4.009858055746768 ;\n",
+      "Epoch 270/1000, Cost: 3.7936\n",
+      " and the parameters are [-2.26311465  3.14697716] -4.00986305979965 ;\n",
+      "Epoch 270/1000, Cost: 3.1329\n",
+      " and the parameters are [-2.26309563  3.14709007] -4.00984295203555 ;\n",
+      "Epoch 270/1000, Cost: 3.6117\n",
+      " and the parameters are [-2.26304467  3.14714591] -4.009871194704151 ;\n",
+      "Epoch 270/1000, Cost: 2.7187\n",
+      " and the parameters are [-2.26303745  3.14720401] -4.009876789810364 ;\n",
+      "Epoch 270/1000, Cost: 2.6197\n",
+      " and the parameters are [-2.2630495  3.1472424] -4.009894036336883 ;\n",
+      "Epoch 270/1000, Cost: 3.3813\n",
+      " and the parameters are [-2.26313397  3.14721778] -4.0099070968422215 ;\n",
+      "Epoch 270/1000, Cost: 3.4655\n",
+      " and the parameters are [-2.26314146  3.14732466] -4.0098838807265835 ;\n",
+      "Epoch 270/1000, Cost: 3.0743\n",
+      " and the parameters are [-2.26314648  3.14739802] -4.009890342801272 ;\n",
+      "Epoch 270/1000, Cost: 3.3635\n",
+      " and the parameters are [-2.26314476  3.14743916] -4.009924855933285 ;\n",
+      "Epoch 270/1000, Cost: 3.8350\n",
+      " and the parameters are [-2.26316651  3.14741646] -4.009969278851373 ;\n",
+      "Epoch 270/1000, Cost: 3.2609\n",
+      " and the parameters are [-2.26321282  3.14731871] -4.010062107765708 ;\n",
+      "Epoch 270/1000, Cost: 3.5718\n",
+      " and the parameters are [-2.26318491  3.14748772] -4.0099952991513685 ;\n",
+      "Epoch 270/1000, Cost: 2.4044\n",
+      " and the parameters are [-2.26311367  3.1475646 ] -4.0100243977839884 ;\n",
+      "Epoch 270/1000, Cost: 2.9993\n",
+      " and the parameters are [-2.26313204  3.1475548 ] -4.010078439336636 ;\n",
+      "Epoch 270/1000, Cost: 6.0943\n",
+      " and the parameters are [-2.26316074  3.14752282] -4.010101094783614 ;\n",
+      "Epoch 270/1000, Cost: 2.7001\n",
+      " and the parameters are [-2.26321227  3.1474997 ] -4.010135681634536 ;\n",
+      "Epoch 270/1000, Cost: 3.1957\n",
+      " and the parameters are [-2.26329888  3.14749735] -4.010146183896346 ;\n",
+      "Epoch 270/1000, Cost: 5.4086\n",
+      " and the parameters are [-2.26330131  3.14748097] -4.010188147593352 ;\n",
+      "Epoch 270/1000, Cost: 3.9344\n",
+      " and the parameters are [-2.26329774  3.14746263] -4.010241658411933 ;\n",
+      "Epoch 270/1000, Cost: 6.1192\n",
+      " and the parameters are [-2.2632347   3.14761068] -4.010194423497653 ;\n",
+      "Epoch 270/1000, Cost: 3.2970\n",
+      " and the parameters are [-2.26329461  3.14757781] -4.010244594340852 ;\n",
+      "Epoch 270/1000, Cost: 6.3804\n",
+      " and the parameters are [-2.26326773  3.14743451] -4.010397344823271 ;\n",
+      "Epoch 270/1000, Cost: 2.2920\n",
+      " and the parameters are [-2.26330042  3.14746085] -4.010415803852361 ;\n",
+      "Epoch 270/1000, Cost: 4.5600\n",
+      " and the parameters are [-2.26330858  3.14757058] -4.010353445211584 ;\n",
+      "Epoch 270/1000, Cost: 4.5905\n",
+      " and the parameters are [-2.26344502  3.14760604] -4.010283552169767 ;\n",
+      "Epoch 270/1000, Cost: 5.9786\n",
+      " and the parameters are [-2.26344637  3.14760867] -4.010301826377983 ;\n",
+      "Epoch 270/1000, Cost: 4.1260\n",
+      " and the parameters are [-2.26338413  3.14758794] -4.010400382205808 ;\n",
+      "Epoch 270/1000, Cost: 2.6360\n",
+      " and the parameters are [-2.26341611  3.14758625] -4.010439440787659 ;\n",
+      "Epoch 270/1000, Cost: 2.2368\n",
+      " and the parameters are [-2.26345969  3.14752126] -4.010503224397671 ;\n",
+      "Epoch 270/1000, Cost: 5.3663\n",
+      " and the parameters are [-2.26342332  3.14764379] -4.010469917136833 ;\n",
+      "Epoch 270/1000, Cost: 3.9426\n",
+      " and the parameters are [-2.26352566  3.14760866] -4.010497656550932 ;\n",
+      "Epoch 270/1000, Cost: 3.2627\n",
+      " and the parameters are [-2.26356035  3.14757464] -4.010567509148262 ;\n",
+      "Epoch 270/1000, Cost: 5.0391\n",
+      " and the parameters are [-2.26351605  3.14766548] -4.010575479811193 ;\n",
+      "Epoch 270/1000, Cost: 2.5038\n",
+      " and the parameters are [-2.26358464  3.14767096] -4.010587039331721 ;\n",
+      "Epoch 270/1000, Cost: 3.6945\n",
+      " and the parameters are [-2.26357402  3.1477476 ] -4.010583066228837 ;\n",
+      "Epoch 270/1000, Cost: 5.0642\n",
+      " and the parameters are [-2.26364968  3.14774436] -4.01059452301451 ;\n",
+      "Epoch 270/1000, Cost: 4.5387\n",
+      " and the parameters are [-2.26371832  3.14774398] -4.010606417162273 ;\n",
+      "Epoch 270/1000, Cost: 3.1414\n",
+      " and the parameters are [-2.26370039  3.14781817] -4.010615279715338 ;\n",
+      "Epoch 270/1000, Cost: 2.0002\n",
+      " and the parameters are [-2.26369426  3.14787454] -4.010613890143401 ;\n",
+      "Epoch 270/1000, Cost: 1.5685\n",
+      " and the parameters are [-2.26371049  3.14785895] -4.010663387532573 ;\n",
+      "Epoch 270/1000, Cost: 2.9021\n",
+      " and the parameters are [-2.26371643  3.14784249] -4.010712223963612 ;\n",
+      "Epoch 270/1000, Cost: 4.1063\n",
+      " and the parameters are [-2.26380711  3.14773037] -4.010807548698436 ;\n",
+      "Epoch 270/1000, Cost: 5.4245\n",
+      " and the parameters are [-2.26377271  3.14778221] -4.010848247535381 ;\n",
+      "Epoch 270/1000, Cost: 5.7848\n",
+      " and the parameters are [-2.26386654  3.14784619] -4.0108062979945105 ;\n",
+      "Epoch 270/1000, Cost: 5.3040\n",
+      " and the parameters are [-2.26386636  3.14783209] -4.010856634496933 ;\n",
+      "Epoch 270/1000, Cost: 4.6397\n",
+      " and the parameters are [-2.26389896  3.14778315] -4.010905387320475 ;\n",
+      "Epoch 270/1000, Cost: 1.9359\n",
+      " and the parameters are [-2.26387416  3.14789005] -4.010891612727663 ;\n",
+      "Epoch 270/1000, Cost: 2.3801\n",
+      " and the parameters are [-2.26391691  3.14786419] -4.010934290720139 ;\n",
+      "Epoch 270/1000, Cost: 2.8340\n",
+      " and the parameters are [-2.26391453  3.14793984] -4.010927945696181 ;\n",
+      "Epoch 270/1000, Cost: 4.3699\n",
+      " and the parameters are [-2.26393659  3.14795308] -4.010963606317333 ;\n",
+      "Epoch 270/1000, Cost: 6.3036\n",
+      " and the parameters are [-2.26399162  3.14783171] -4.0110686931527715 ;\n",
+      "Epoch 270/1000, Cost: 8.8220\n",
+      " and the parameters are [-2.26394177  3.14781529] -4.011124974870277 ;\n",
+      "Epoch 270/1000, Cost: 2.6102\n",
+      " and the parameters are [-2.2639386   3.14793159] -4.011095037261024 ;\n",
+      "Epoch 270/1000, Cost: 3.3551\n",
+      " and the parameters are [-2.26396022  3.14792957] -4.01112546849601 ;\n",
+      "Epoch 270/1000, Cost: 2.6254\n",
+      " and the parameters are [-2.26386521  3.14804447] -4.011133860134257 ;\n",
+      "Epoch 270/1000, Cost: 5.4774\n",
+      " and the parameters are [-2.26392252  3.14797489] -4.011202489996313 ;\n",
+      "Epoch 270/1000, Cost: 3.6296\n",
+      " and the parameters are [-2.26398579  3.14796196] -4.011231567078499 ;\n",
+      "Epoch 270/1000, Cost: 4.6489\n",
+      " and the parameters are [-2.2640324   3.14788792] -4.011306267305048 ;\n",
+      "Epoch 270/1000, Cost: 2.8904\n",
+      " and the parameters are [-2.26401826  3.14791065] -4.011357967655299 ;\n",
+      "Epoch 270/1000, Cost: 4.4559\n",
+      " and the parameters are [-2.26404717  3.14801098] -4.011308324413914 ;\n",
+      "Epoch 270/1000, Cost: 2.8940\n",
+      " and the parameters are [-2.26409178  3.14805482] -4.01129829861193 ;\n",
+      "Epoch 270/1000, Cost: 6.2049\n",
+      " and the parameters are [-2.26419498  3.14802403] -4.011295276649026 ;\n",
+      "Epoch 270/1000, Cost: 4.0015\n",
+      " and the parameters are [-2.26423651  3.14804666] -4.0113078981364705 ;\n",
+      "Epoch 270/1000, Cost: 1.9451\n",
+      " and the parameters are [-2.26423416  3.14815063] -4.0112748433953245 ;\n",
+      "Epoch 270/1000, Cost: 5.1979\n",
+      " and the parameters are [-2.2642942  3.1481707] -4.011281160645927 ;\n",
+      "Epoch 270/1000, Cost: 5.1062\n",
+      " and the parameters are [-2.26426494  3.14824728] -4.011259952290256 ;\n",
+      "Epoch 270/1000, Cost: 2.7404\n",
+      " and the parameters are [-2.26431265  3.14824038] -4.01128879340733 ;\n",
+      "Epoch 270/1000, Cost: 2.4275\n",
+      " and the parameters are [-2.26433498  3.14821272] -4.011356446373562 ;\n",
+      "Epoch 270/1000, Cost: 2.9090\n",
+      " and the parameters are [-2.26437853  3.14824486] -4.01135312112845 ;\n",
+      "Epoch 270/1000, Cost: 4.3078\n",
+      " and the parameters are [-2.26436438  3.14835616] -4.011328369849378 ;\n",
+      "Epoch 270/1000, Cost: 2.3902\n",
+      " and the parameters are [-2.2643626   3.14844698] -4.011310708853303 ;\n",
+      "Epoch 270/1000, Cost: 3.1236\n",
+      " and the parameters are [-2.26436122  3.14842252] -4.011373942560314 ;\n",
+      "Epoch 280/1000, Cost: 2.8084\n",
+      " and the parameters are [-2.28911236  3.17859729] -4.05546453162691 ;\n",
+      "Epoch 280/1000, Cost: 3.7334\n",
+      " and the parameters are [-2.28910549  3.17850659] -4.055577138602547 ;\n",
+      "Epoch 280/1000, Cost: 4.0805\n",
+      " and the parameters are [-2.28915019  3.17852834] -4.055587542380535 ;\n",
+      "Epoch 280/1000, Cost: 1.9469\n",
+      " and the parameters are [-2.2892005   3.17853551] -4.055609035198998 ;\n",
+      "Epoch 280/1000, Cost: 6.7774\n",
+      " and the parameters are [-2.28929252  3.17844526] -4.0556458930247965 ;\n",
+      "Epoch 280/1000, Cost: 2.7860\n",
+      " and the parameters are [-2.28934698  3.17846934] -4.055648969011337 ;\n",
+      "Epoch 280/1000, Cost: 3.7834\n",
+      " and the parameters are [-2.28934841  3.17855632] -4.055630875550704 ;\n",
+      "Epoch 280/1000, Cost: 3.6470\n",
+      " and the parameters are [-2.28936176  3.17862648] -4.055624579827785 ;\n",
+      "Epoch 280/1000, Cost: 3.8666\n",
+      " and the parameters are [-2.289326    3.17863946] -4.055698907735819 ;\n",
+      "Epoch 280/1000, Cost: 2.9616\n",
+      " and the parameters are [-2.28930166  3.1787104 ] -4.055701342468079 ;\n",
+      "Epoch 280/1000, Cost: 2.6522\n",
+      " and the parameters are [-2.28925894  3.17878766] -4.055722868950692 ;\n",
+      "Epoch 280/1000, Cost: 3.1983\n",
+      " and the parameters are [-2.2893144   3.17881301] -4.0557232366659015 ;\n",
+      "Epoch 280/1000, Cost: 4.0690\n",
+      " and the parameters are [-2.28931159  3.178916  ] -4.055694932553539 ;\n",
+      "Epoch 280/1000, Cost: 2.2398\n",
+      " and the parameters are [-2.2892598   3.17893309] -4.055760913002649 ;\n",
+      "Epoch 280/1000, Cost: 1.8933\n",
+      " and the parameters are [-2.28927919  3.1789401 ] -4.055788849945197 ;\n",
+      "Epoch 280/1000, Cost: 3.7103\n",
+      " and the parameters are [-2.28932077  3.17901347] -4.055771255803704 ;\n",
+      "Epoch 280/1000, Cost: 2.1073\n",
+      " and the parameters are [-2.2893437  3.1791205] -4.055724242904713 ;\n",
+      "Epoch 280/1000, Cost: 3.6181\n",
+      " and the parameters are [-2.28941525  3.17902063] -4.055798407131863 ;\n",
+      "Epoch 280/1000, Cost: 8.0874\n",
+      " and the parameters are [-2.28942708  3.17897732] -4.05579813252261 ;\n",
+      "Epoch 280/1000, Cost: 4.2863\n",
+      " and the parameters are [-2.28935322  3.17903118] -4.055847201339916 ;\n",
+      "Epoch 280/1000, Cost: 2.5158\n",
+      " and the parameters are [-2.28930491  3.1791099 ] -4.0558706547700245 ;\n",
+      "Epoch 280/1000, Cost: 3.5799\n",
+      " and the parameters are [-2.28928568  3.17914439] -4.0558957451706705 ;\n",
+      "Epoch 280/1000, Cost: 5.1517\n",
+      " and the parameters are [-2.28934822  3.17921783] -4.055840014733174 ;\n",
+      "Epoch 280/1000, Cost: 7.4790\n",
+      " and the parameters are [-2.28931927  3.1792331 ] -4.055871103259401 ;\n",
+      "Epoch 280/1000, Cost: 3.7117\n",
+      " and the parameters are [-2.28931264  3.17918065] -4.0559655221811814 ;\n",
+      "Epoch 280/1000, Cost: 2.9029\n",
+      " and the parameters are [-2.2893559   3.17919629] -4.055976598870356 ;\n",
+      "Epoch 280/1000, Cost: 3.0510\n",
+      " and the parameters are [-2.28937081  3.17926078] -4.05597479541135 ;\n",
+      "Epoch 280/1000, Cost: 4.4971\n",
+      " and the parameters are [-2.2894061   3.17927429] -4.056000958540557 ;\n",
+      "Epoch 280/1000, Cost: 3.2598\n",
+      " and the parameters are [-2.28943586  3.17927917] -4.056027148952002 ;\n",
+      "Epoch 280/1000, Cost: 7.1794\n",
+      " and the parameters are [-2.28945102  3.17917075] -4.05613149210508 ;\n",
+      "Epoch 280/1000, Cost: 1.9118\n",
+      " and the parameters are [-2.28943611  3.17921854] -4.0561498649035945 ;\n",
+      "Epoch 280/1000, Cost: 3.1499\n",
+      " and the parameters are [-2.2894815   3.17923228] -4.0561623871354575 ;\n",
+      "Epoch 280/1000, Cost: 6.2843\n",
+      " and the parameters are [-2.28948418  3.17926881] -4.056175471790126 ;\n",
+      "Epoch 280/1000, Cost: 2.9186\n",
+      " and the parameters are [-2.28955092  3.17928456] -4.056182197353832 ;\n",
+      "Epoch 280/1000, Cost: 4.4985\n",
+      " and the parameters are [-2.28948831  3.17932116] -4.056217857851585 ;\n",
+      "Epoch 280/1000, Cost: 4.6623\n",
+      " and the parameters are [-2.28943722  3.1793027 ] -4.056309812975717 ;\n",
+      "Epoch 280/1000, Cost: 2.7117\n",
+      " and the parameters are [-2.28941134  3.17933513] -4.056349349109238 ;\n",
+      "Epoch 280/1000, Cost: 2.9855\n",
+      " and the parameters are [-2.28941704  3.17941728] -4.056333323957535 ;\n",
+      "Epoch 280/1000, Cost: 5.6462\n",
+      " and the parameters are [-2.28936281  3.1795747 ] -4.056280646564797 ;\n",
+      "Epoch 280/1000, Cost: 2.6258\n",
+      " and the parameters are [-2.28942581  3.17958259] -4.056288899483313 ;\n",
+      "Epoch 280/1000, Cost: 5.8437\n",
+      " and the parameters are [-2.28931517  3.17964563] -4.056332925001725 ;\n",
+      "Epoch 280/1000, Cost: 1.8109\n",
+      " and the parameters are [-2.28931195  3.17969544] -4.05634277634698 ;\n",
+      "Epoch 280/1000, Cost: 4.9096\n",
+      " and the parameters are [-2.28936553  3.17965242] -4.056367185516141 ;\n",
+      "Epoch 280/1000, Cost: 3.3994\n",
+      " and the parameters are [-2.28932542  3.17965178] -4.056439472231351 ;\n",
+      "Epoch 280/1000, Cost: 2.0832\n",
+      " and the parameters are [-2.28935646  3.179657  ] -4.056459878451403 ;\n",
+      "Epoch 280/1000, Cost: 5.0988\n",
+      " and the parameters are [-2.28941851  3.17960534] -4.056518177487414 ;\n",
+      "Epoch 280/1000, Cost: 3.4118\n",
+      " and the parameters are [-2.28939915  3.17955542] -4.056607535786762 ;\n",
+      "Epoch 280/1000, Cost: 2.8726\n",
+      " and the parameters are [-2.2894093   3.17956324] -4.056623332242991 ;\n",
+      "Epoch 280/1000, Cost: 2.7796\n",
+      " and the parameters are [-2.28942764  3.17962476] -4.056628554213274 ;\n",
+      "Epoch 280/1000, Cost: 1.3591\n",
+      " and the parameters are [-2.28939665  3.1796699 ] -4.056652013927744 ;\n",
+      "Epoch 280/1000, Cost: 3.9930\n",
+      " and the parameters are [-2.28945922  3.17973179] -4.0566090281124065 ;\n",
+      "Epoch 280/1000, Cost: 4.3160\n",
+      " and the parameters are [-2.28942692  3.1798137 ] -4.056580853077663 ;\n",
+      "Epoch 280/1000, Cost: 2.7802\n",
+      " and the parameters are [-2.28942484  3.17982985] -4.0566131008419966 ;\n",
+      "Epoch 280/1000, Cost: 3.6626\n",
+      " and the parameters are [-2.28933113  3.17991457] -4.056661059296564 ;\n",
+      "Epoch 280/1000, Cost: 3.6308\n",
+      " and the parameters are [-2.28925953  3.1800273 ] -4.056659595275897 ;\n",
+      "Epoch 280/1000, Cost: 4.9672\n",
+      " and the parameters are [-2.28930496  3.18005151] -4.056655747268781 ;\n",
+      "Epoch 280/1000, Cost: 4.3838\n",
+      " and the parameters are [-2.28930314  3.18008873] -4.0566774012770015 ;\n",
+      "Epoch 280/1000, Cost: 2.8668\n",
+      " and the parameters are [-2.28932717  3.18014575] -4.056678257608397 ;\n",
+      "Epoch 280/1000, Cost: 2.9751\n",
+      " and the parameters are [-2.28926688  3.18016957] -4.056747818826896 ;\n",
+      "Epoch 280/1000, Cost: 3.8288\n",
+      " and the parameters are [-2.28927182  3.18025151] -4.056726715481184 ;\n",
+      "Epoch 280/1000, Cost: 3.3938\n",
+      " and the parameters are [-2.28926003  3.18021462] -4.056812810995365 ;\n",
+      "Epoch 280/1000, Cost: 3.2103\n",
+      " and the parameters are [-2.28925999  3.18037359] -4.056749148233459 ;\n",
+      "Epoch 280/1000, Cost: 3.1370\n",
+      " and the parameters are [-2.28934549  3.18030367] -4.056796906461969 ;\n",
+      "Epoch 280/1000, Cost: 3.0070\n",
+      " and the parameters are [-2.2893897   3.18024623] -4.056864550480308 ;\n",
+      "Epoch 280/1000, Cost: 3.9097\n",
+      " and the parameters are [-2.28945617  3.18015145] -4.056946659962413 ;\n",
+      "Epoch 280/1000, Cost: 6.0406\n",
+      " and the parameters are [-2.28947081  3.1801794 ] -4.0569358804736915 ;\n",
+      "Epoch 280/1000, Cost: 5.1844\n",
+      " and the parameters are [-2.28952405  3.1801627 ] -4.056919955151657 ;\n",
+      "Epoch 280/1000, Cost: 3.8108\n",
+      " and the parameters are [-2.28957706  3.1801705 ] -4.056929256486231 ;\n",
+      "Epoch 280/1000, Cost: 4.1612\n",
+      " and the parameters are [-2.28954562  3.18026717] -4.056888879991539 ;\n",
+      "Epoch 280/1000, Cost: 2.4591\n",
+      " and the parameters are [-2.28956468  3.18035238] -4.056867351766868 ;\n",
+      "Epoch 280/1000, Cost: 2.7492\n",
+      " and the parameters are [-2.28951785  3.18046669] -4.056857290280953 ;\n",
+      "Epoch 280/1000, Cost: 4.0674\n",
+      " and the parameters are [-2.28956551  3.18063168] -4.056746885446598 ;\n",
+      "Epoch 280/1000, Cost: 6.0843\n",
+      " and the parameters are [-2.28963794  3.18051628] -4.056841622884824 ;\n",
+      "Epoch 280/1000, Cost: 3.9781\n",
+      " and the parameters are [-2.28965352  3.18042231] -4.05695620266828 ;\n",
+      "Epoch 280/1000, Cost: 3.6067\n",
+      " and the parameters are [-2.28968034  3.18041277] -4.056986966082742 ;\n",
+      "Epoch 280/1000, Cost: 3.8042\n",
+      " and the parameters are [-2.2897701   3.18034028] -4.057033830016151 ;\n",
+      "Epoch 280/1000, Cost: 3.0006\n",
+      " and the parameters are [-2.28975399  3.18040267] -4.057046168095185 ;\n",
+      "Epoch 280/1000, Cost: 5.4318\n",
+      " and the parameters are [-2.28972096  3.18040492] -4.0570949819401525 ;\n",
+      "Epoch 280/1000, Cost: 2.7468\n",
+      " and the parameters are [-2.28976907  3.18041846] -4.057100938036954 ;\n",
+      "Epoch 280/1000, Cost: 5.2786\n",
+      " and the parameters are [-2.28978608  3.18036049] -4.057167045619334 ;\n",
+      "Epoch 280/1000, Cost: 3.5514\n",
+      " and the parameters are [-2.28977434  3.18049698] -4.057121776522322 ;\n",
+      "Epoch 280/1000, Cost: 4.0811\n",
+      " and the parameters are [-2.28979512  3.18051773] -4.057134290324476 ;\n",
+      "Epoch 280/1000, Cost: 7.3593\n",
+      " and the parameters are [-2.28999461  3.18044262] -4.057110673506758 ;\n",
+      "Epoch 280/1000, Cost: 4.9784\n",
+      " and the parameters are [-2.29001008  3.1804486 ] -4.057141278829618 ;\n",
+      "Epoch 280/1000, Cost: 2.6208\n",
+      " and the parameters are [-2.29004864  3.18046661] -4.057156622143303 ;\n",
+      "Epoch 280/1000, Cost: 3.5736\n",
+      " and the parameters are [-2.29014088  3.18039325] -4.057218040767523 ;\n",
+      "Epoch 280/1000, Cost: 4.5376\n",
+      " and the parameters are [-2.29014098  3.18043697] -4.057249321958805 ;\n",
+      "Epoch 280/1000, Cost: 2.9765\n",
+      " and the parameters are [-2.29021038  3.18045107] -4.057250668268515 ;\n",
+      "Epoch 280/1000, Cost: 6.4013\n",
+      " and the parameters are [-2.29020923  3.18048084] -4.057253876224396 ;\n",
+      "Epoch 280/1000, Cost: 4.3164\n",
+      " and the parameters are [-2.29032642  3.18048727] -4.057225674555886 ;\n",
+      "Epoch 280/1000, Cost: 5.5197\n",
+      " and the parameters are [-2.29037952  3.18059485] -4.057136356116067 ;\n",
+      "Epoch 280/1000, Cost: 4.7782\n",
+      " and the parameters are [-2.2904787  3.18064  ] -4.057099608551029 ;\n",
+      "Epoch 280/1000, Cost: 3.5945\n",
+      " and the parameters are [-2.29043562  3.18072739] -4.057108085370887 ;\n",
+      "Epoch 280/1000, Cost: 1.9137\n",
+      " and the parameters are [-2.29044726  3.18070185] -4.057162538724932 ;\n",
+      "Epoch 280/1000, Cost: 3.5661\n",
+      " and the parameters are [-2.29043643  3.1806093 ] -4.057286871273327 ;\n",
+      "Epoch 280/1000, Cost: 2.3433\n",
+      " and the parameters are [-2.29046765  3.18069324] -4.0572589817956075 ;\n",
+      "Epoch 280/1000, Cost: 2.8683\n",
+      " and the parameters are [-2.29047161  3.18068515] -4.057309683073781 ;\n",
+      "Epoch 280/1000, Cost: 5.7520\n",
+      " and the parameters are [-2.29046914  3.1806449 ] -4.057389551639882 ;\n",
+      "Epoch 280/1000, Cost: 3.6878\n",
+      " and the parameters are [-2.29045241  3.18081212] -4.057320202490954 ;\n",
+      "Epoch 280/1000, Cost: 4.1108\n",
+      " and the parameters are [-2.29052704  3.18076737] -4.057368829713229 ;\n",
+      "Epoch 280/1000, Cost: 2.5281\n",
+      " and the parameters are [-2.29050771  3.18083865] -4.0573816076034435 ;\n",
+      "Epoch 280/1000, Cost: 2.8466\n",
+      " and the parameters are [-2.29053295  3.18091073] -4.0573479866676525 ;\n",
+      "Epoch 280/1000, Cost: 2.4826\n",
+      " and the parameters are [-2.29048037  3.18100327] -4.057351781893665 ;\n",
+      "Epoch 280/1000, Cost: 4.6589\n",
+      " and the parameters are [-2.29048036  3.18109499] -4.057334300774153 ;\n",
+      "Epoch 280/1000, Cost: 3.2684\n",
+      " and the parameters are [-2.29046734  3.1810555 ] -4.057425142970523 ;\n",
+      "Epoch 280/1000, Cost: 3.4586\n",
+      " and the parameters are [-2.29057069  3.18105067] -4.057413055042082 ;\n",
+      "Epoch 280/1000, Cost: 2.5400\n",
+      " and the parameters are [-2.29058728  3.18101854] -4.057473945214001 ;\n",
+      "Epoch 280/1000, Cost: 2.1496\n",
+      " and the parameters are [-2.29061265  3.18103482] -4.057488977957846 ;\n",
+      "Epoch 280/1000, Cost: 6.8145\n",
+      " and the parameters are [-2.29058002  3.18091505] -4.057626842928235 ;\n",
+      "Epoch 280/1000, Cost: 3.0582\n",
+      " and the parameters are [-2.29058442  3.1810159 ] -4.0576072000108105 ;\n",
+      "Epoch 280/1000, Cost: 3.0219\n",
+      " and the parameters are [-2.29059829  3.1810214 ] -4.05764506176913 ;\n",
+      "Epoch 280/1000, Cost: 2.8845\n",
+      " and the parameters are [-2.29062174  3.18103515] -4.057677616595058 ;\n",
+      "Epoch 280/1000, Cost: 3.4672\n",
+      " and the parameters are [-2.29064468  3.18113955] -4.057641318409261 ;\n",
+      "Epoch 280/1000, Cost: 5.6300\n",
+      " and the parameters are [-2.29063951  3.18116163] -4.057641302869572 ;\n",
+      "Epoch 280/1000, Cost: 3.9203\n",
+      " and the parameters are [-2.29068929  3.18112446] -4.057679549773063 ;\n",
+      "Epoch 280/1000, Cost: 2.5637\n",
+      " and the parameters are [-2.29069011  3.18123417] -4.057656332660189 ;\n",
+      "Epoch 280/1000, Cost: 2.8853\n",
+      " and the parameters are [-2.29072336  3.18121246] -4.057699046708961 ;\n",
+      "Epoch 280/1000, Cost: 3.3935\n",
+      " and the parameters are [-2.29071707  3.18126405] -4.057727232099021 ;\n",
+      "Epoch 280/1000, Cost: 3.8553\n",
+      " and the parameters are [-2.29078781  3.18119549] -4.0578023716497125 ;\n",
+      "Epoch 280/1000, Cost: 2.8644\n",
+      " and the parameters are [-2.29075013  3.18120305] -4.057859168534795 ;\n",
+      "Epoch 280/1000, Cost: 3.2024\n",
+      " and the parameters are [-2.29082446  3.18120418] -4.057881854177013 ;\n",
+      "Epoch 280/1000, Cost: 7.6410\n",
+      " and the parameters are [-2.29093345  3.18110386] -4.057897636142866 ;\n",
+      "Epoch 280/1000, Cost: 2.2792\n",
+      " and the parameters are [-2.29095284  3.18116466] -4.0579025709126375 ;\n",
+      "Epoch 280/1000, Cost: 3.7373\n",
+      " and the parameters are [-2.29088093  3.18122547] -4.057942938277145 ;\n",
+      "Epoch 280/1000, Cost: 3.7235\n",
+      " and the parameters are [-2.29090477  3.18128341] -4.057928540319846 ;\n",
+      "Epoch 280/1000, Cost: 3.8020\n",
+      " and the parameters are [-2.29089144  3.18131473] -4.057955813113637 ;\n",
+      "Epoch 280/1000, Cost: 2.7738\n",
+      " and the parameters are [-2.29095535  3.18133979] -4.057953187340191 ;\n",
+      "Epoch 280/1000, Cost: 3.0763\n",
+      " and the parameters are [-2.29090193  3.1814554 ] -4.057937614684014 ;\n",
+      "Epoch 280/1000, Cost: 3.0506\n",
+      " and the parameters are [-2.29096365  3.18154015] -4.057887192262134 ;\n",
+      "Epoch 280/1000, Cost: 3.9000\n",
+      " and the parameters are [-2.29095733  3.18152776] -4.057949948789138 ;\n",
+      "Epoch 280/1000, Cost: 3.4125\n",
+      " and the parameters are [-2.29104137  3.18157317] -4.057913835806056 ;\n",
+      "Epoch 280/1000, Cost: 2.4711\n",
+      " and the parameters are [-2.29109793  3.18162928] -4.057882640095883 ;\n",
+      "Epoch 280/1000, Cost: 2.3966\n",
+      " and the parameters are [-2.29109058  3.18168942] -4.057888953773055 ;\n",
+      "Epoch 280/1000, Cost: 5.3280\n",
+      " and the parameters are [-2.29106518  3.18166941] -4.0579732299534985 ;\n",
+      "Epoch 280/1000, Cost: 6.1175\n",
+      " and the parameters are [-2.29098165  3.18173156] -4.057986957023336 ;\n",
+      "Epoch 280/1000, Cost: 4.6235\n",
+      " and the parameters are [-2.29096008  3.18185756] -4.057939439239562 ;\n",
+      "Epoch 280/1000, Cost: 3.8369\n",
+      " and the parameters are [-2.29097848  3.18183362] -4.058015564037577 ;\n",
+      "Epoch 280/1000, Cost: 2.2649\n",
+      " and the parameters are [-2.29095563  3.18194731] -4.05799477758105 ;\n",
+      "Epoch 280/1000, Cost: 3.6721\n",
+      " and the parameters are [-2.29094792  3.18203865] -4.057992232654926 ;\n",
+      "Epoch 280/1000, Cost: 3.5950\n",
+      " and the parameters are [-2.2909167   3.18213575] -4.0579931415392725 ;\n",
+      "Epoch 280/1000, Cost: 6.7726\n",
+      " and the parameters are [-2.29095719  3.18208315] -4.0580433795105275 ;\n",
+      "Epoch 280/1000, Cost: 4.2365\n",
+      " and the parameters are [-2.29099936  3.18203163] -4.058108463801038 ;\n",
+      "Epoch 280/1000, Cost: 3.3073\n",
+      " and the parameters are [-2.29101881  3.18195106] -4.058204424133298 ;\n",
+      "Epoch 280/1000, Cost: 3.0201\n",
+      " and the parameters are [-2.2910855   3.18186464] -4.058278300298781 ;\n",
+      "Epoch 280/1000, Cost: 4.3682\n",
+      " and the parameters are [-2.29115853  3.18172636] -4.058383247263665 ;\n",
+      "Epoch 280/1000, Cost: 4.2939\n",
+      " and the parameters are [-2.29113267  3.18180463] -4.058375076528969 ;\n",
+      "Epoch 280/1000, Cost: 3.9371\n",
+      " and the parameters are [-2.29111553  3.18184162] -4.058389796966091 ;\n",
+      "Epoch 280/1000, Cost: 3.9337\n",
+      " and the parameters are [-2.29117372  3.18181853] -4.058419566208482 ;\n",
+      "Epoch 280/1000, Cost: 7.6501\n",
+      " and the parameters are [-2.29113342  3.1816941 ] -4.05854743787712 ;\n",
+      "Epoch 280/1000, Cost: 5.4917\n",
+      " and the parameters are [-2.29132634  3.18155984] -4.058576228044795 ;\n",
+      "Epoch 280/1000, Cost: 4.1715\n",
+      " and the parameters are [-2.29124116  3.18170775] -4.058556510213404 ;\n",
+      "Epoch 280/1000, Cost: 1.7469\n",
+      " and the parameters are [-2.29123111  3.181751  ] -4.058579310657206 ;\n",
+      "Epoch 280/1000, Cost: 2.0024\n",
+      " and the parameters are [-2.29123122  3.18182328] -4.058576603140411 ;\n",
+      "Epoch 280/1000, Cost: 5.4656\n",
+      " and the parameters are [-2.2912338   3.18175484] -4.058664356100842 ;\n",
+      "Epoch 280/1000, Cost: 4.0230\n",
+      " and the parameters are [-2.29132021  3.18165263] -4.058757366795861 ;\n",
+      "Epoch 280/1000, Cost: 1.9463\n",
+      " and the parameters are [-2.29129533  3.18169601] -4.058784843531261 ;\n",
+      "Epoch 280/1000, Cost: 4.9023\n",
+      " and the parameters are [-2.2912901   3.18184624] -4.0587160709010135 ;\n",
+      "Epoch 280/1000, Cost: 3.7453\n",
+      " and the parameters are [-2.2913319  3.1818423] -4.058728134058371 ;\n",
+      "Epoch 280/1000, Cost: 4.0888\n",
+      " and the parameters are [-2.29142782  3.1817941 ] -4.058766405625458 ;\n",
+      "Epoch 280/1000, Cost: 2.2440\n",
+      " and the parameters are [-2.29139922  3.18183188] -4.05880567074342 ;\n",
+      "Epoch 280/1000, Cost: 3.9521\n",
+      " and the parameters are [-2.29142308  3.18188883] -4.058779665259355 ;\n",
+      "Epoch 280/1000, Cost: 5.6357\n",
+      " and the parameters are [-2.29142824  3.1818921 ] -4.058824998375121 ;\n",
+      "Epoch 280/1000, Cost: 3.4005\n",
+      " and the parameters are [-2.29147765  3.18195913] -4.058793742315429 ;\n",
+      "Epoch 280/1000, Cost: 2.7981\n",
+      " and the parameters are [-2.29147155  3.18194948] -4.058853047900824 ;\n",
+      "Epoch 280/1000, Cost: 3.8613\n",
+      " and the parameters are [-2.29146027  3.18203469] -4.058831004703141 ;\n",
+      "Epoch 280/1000, Cost: 3.6280\n",
+      " and the parameters are [-2.29142569  3.18200039] -4.058894594514002 ;\n",
+      "Epoch 280/1000, Cost: 6.7867\n",
+      " and the parameters are [-2.29137642  3.18201539] -4.058939261525943 ;\n",
+      "Epoch 280/1000, Cost: 1.8758\n",
+      " and the parameters are [-2.29138924  3.18208087] -4.058933670300181 ;\n",
+      "Epoch 280/1000, Cost: 2.4096\n",
+      " and the parameters are [-2.29145506  3.18206715] -4.058943977224992 ;\n",
+      "Epoch 280/1000, Cost: 6.5723\n",
+      " and the parameters are [-2.29151871  3.18187041] -4.059080574930572 ;\n",
+      "Epoch 280/1000, Cost: 2.9156\n",
+      " and the parameters are [-2.29150869  3.18199647] -4.059035659232533 ;\n",
+      "Epoch 280/1000, Cost: 4.8075\n",
+      " and the parameters are [-2.29163329  3.18187341] -4.059093930719704 ;\n",
+      "Epoch 280/1000, Cost: 2.8611\n",
+      " and the parameters are [-2.29167156  3.18181556] -4.059168386734089 ;\n",
+      "Epoch 280/1000, Cost: 1.5830\n",
+      " and the parameters are [-2.29171169  3.18181899] -4.059186500169746 ;\n",
+      "Epoch 280/1000, Cost: 6.9678\n",
+      " and the parameters are [-2.29175891  3.18186699] -4.059197363501679 ;\n",
+      "Epoch 280/1000, Cost: 8.5546\n",
+      " and the parameters are [-2.29173687  3.18188088] -4.059176205584478 ;\n",
+      "Epoch 280/1000, Cost: 3.2646\n",
+      " and the parameters are [-2.29176786  3.18181539] -4.059261644803973 ;\n",
+      "Epoch 280/1000, Cost: 4.0853\n",
+      " and the parameters are [-2.291813    3.18187294] -4.059233306825497 ;\n",
+      "Epoch 280/1000, Cost: 7.4649\n",
+      " and the parameters are [-2.29169893  3.18183191] -4.05933350352315 ;\n",
+      "Epoch 280/1000, Cost: 3.5894\n",
+      " and the parameters are [-2.29172202  3.18181077] -4.059378997661566 ;\n",
+      "Epoch 280/1000, Cost: 5.8064\n",
+      " and the parameters are [-2.29176551  3.1817809 ] -4.059432886868553 ;\n",
+      "Epoch 280/1000, Cost: 2.7018\n",
+      " and the parameters are [-2.29172454  3.18183724] -4.059462702085472 ;\n",
+      "Epoch 280/1000, Cost: 4.5563\n",
+      " and the parameters are [-2.29168286  3.18188402] -4.059503777459922 ;\n",
+      "Epoch 280/1000, Cost: 2.2783\n",
+      " and the parameters are [-2.2916616   3.18192231] -4.059537640860849 ;\n",
+      "Epoch 280/1000, Cost: 2.5292\n",
+      " and the parameters are [-2.29168267  3.18193904] -4.059557984348689 ;\n",
+      "Epoch 280/1000, Cost: 3.9327\n",
+      " and the parameters are [-2.29173151  3.18199671] -4.059547564047583 ;\n",
+      "Epoch 280/1000, Cost: 3.0797\n",
+      " and the parameters are [-2.29176471  3.18195422] -4.05962034008052 ;\n",
+      "Epoch 280/1000, Cost: 2.9136\n",
+      " and the parameters are [-2.29180461  3.18197114] -4.059632030496709 ;\n",
+      "Epoch 280/1000, Cost: 5.1014\n",
+      " and the parameters are [-2.29179042  3.18199947] -4.059681849557412 ;\n",
+      "Epoch 280/1000, Cost: 3.1984\n",
+      " and the parameters are [-2.29180576  3.18205208] -4.059688163613478 ;\n",
+      "Epoch 280/1000, Cost: 6.3910\n",
+      " and the parameters are [-2.29175444  3.18199524] -4.05978789635081 ;\n",
+      "Epoch 280/1000, Cost: 3.9372\n",
+      " and the parameters are [-2.29174499  3.18201137] -4.059829447609133 ;\n",
+      "Epoch 280/1000, Cost: 2.4700\n",
+      " and the parameters are [-2.29181232  3.18198241] -4.0598655730334885 ;\n",
+      "Epoch 280/1000, Cost: 3.0444\n",
+      " and the parameters are [-2.2918457   3.18193884] -4.059915405224677 ;\n",
+      "Epoch 280/1000, Cost: 2.7631\n",
+      " and the parameters are [-2.29186291  3.18197926] -4.059925823847129 ;\n",
+      "Epoch 280/1000, Cost: 1.7745\n",
+      " and the parameters are [-2.29190373  3.18198588] -4.059943538071046 ;\n",
+      "Epoch 280/1000, Cost: 3.7761\n",
+      " and the parameters are [-2.29187675  3.18199813] -4.059998544964874 ;\n",
+      "Epoch 280/1000, Cost: 3.7274\n",
+      " and the parameters are [-2.29184626  3.18202268] -4.060047883182683 ;\n",
+      "Epoch 280/1000, Cost: 3.5980\n",
+      " and the parameters are [-2.29183596  3.18195486] -4.060152858723591 ;\n",
+      "Epoch 280/1000, Cost: 8.6478\n",
+      " and the parameters are [-2.29185283  3.18179897] -4.060268368645145 ;\n",
+      "Epoch 290/1000, Cost: 3.2488\n",
+      " and the parameters are [-2.31590131  3.2111046 ] -4.102851851859788 ;\n",
+      "Epoch 290/1000, Cost: 1.8793\n",
+      " and the parameters are [-2.315933    3.21112632] -4.102867630771706 ;\n",
+      "Epoch 290/1000, Cost: 2.7603\n",
+      " and the parameters are [-2.31586906  3.21122757] -4.102866654962023 ;\n",
+      "Epoch 290/1000, Cost: 3.4590\n",
+      " and the parameters are [-2.31594327  3.21116105] -4.102923512918905 ;\n",
+      "Epoch 290/1000, Cost: 5.2446\n",
+      " and the parameters are [-2.31598035  3.21102972] -4.103061849440966 ;\n",
+      "Epoch 290/1000, Cost: 3.5330\n",
+      " and the parameters are [-2.316045    3.21108278] -4.1030445078766515 ;\n",
+      "Epoch 290/1000, Cost: 5.6469\n",
+      " and the parameters are [-2.31605873  3.210996  ] -4.103136944932585 ;\n",
+      "Epoch 290/1000, Cost: 3.1201\n",
+      " and the parameters are [-2.31603704  3.21099148] -4.103198635926414 ;\n",
+      "Epoch 290/1000, Cost: 3.4793\n",
+      " and the parameters are [-2.31611005  3.21097731] -4.1032352800183265 ;\n",
+      "Epoch 290/1000, Cost: 2.5403\n",
+      " and the parameters are [-2.31608549  3.21110094] -4.103199600792818 ;\n",
+      "Epoch 290/1000, Cost: 4.9449\n",
+      " and the parameters are [-2.31608759  3.21102888] -4.103278721907629 ;\n",
+      "Epoch 290/1000, Cost: 1.8157\n",
+      " and the parameters are [-2.31610132  3.21109918] -4.103261660712098 ;\n",
+      "Epoch 290/1000, Cost: 3.6931\n",
+      " and the parameters are [-2.31615392  3.21128446] -4.103132772967878 ;\n",
+      "Epoch 290/1000, Cost: 6.7776\n",
+      " and the parameters are [-2.31612776  3.21135381] -4.10310889777221 ;\n",
+      "Epoch 290/1000, Cost: 2.2813\n",
+      " and the parameters are [-2.31615228  3.21139085] -4.103114147464828 ;\n",
+      "Epoch 290/1000, Cost: 1.7700\n",
+      " and the parameters are [-2.31612696  3.21146619] -4.103123986142386 ;\n",
+      "Epoch 290/1000, Cost: 3.5098\n",
+      " and the parameters are [-2.31614785  3.21144061] -4.103173931421639 ;\n",
+      "Epoch 290/1000, Cost: 1.7420\n",
+      " and the parameters are [-2.3161842   3.21145503] -4.103185485554891 ;\n",
+      "Epoch 290/1000, Cost: 3.4192\n",
+      " and the parameters are [-2.31623129  3.2113841 ] -4.103259608713279 ;\n",
+      "Epoch 290/1000, Cost: 4.9242\n",
+      " and the parameters are [-2.31629227  3.21138877] -4.103271822260143 ;\n",
+      "Epoch 290/1000, Cost: 5.4515\n",
+      " and the parameters are [-2.31639574  3.21136589] -4.103277386265636 ;\n",
+      "Epoch 290/1000, Cost: 2.1436\n",
+      " and the parameters are [-2.31639158  3.21144137] -4.103267913291377 ;\n",
+      "Epoch 290/1000, Cost: 5.1702\n",
+      " and the parameters are [-2.31641383  3.21147824] -4.10324867409212 ;\n",
+      "Epoch 290/1000, Cost: 3.0230\n",
+      " and the parameters are [-2.31636184  3.21160619] -4.103218115515878 ;\n",
+      "Epoch 290/1000, Cost: 4.6398\n",
+      " and the parameters are [-2.31633415  3.21167348] -4.1031799115914005 ;\n",
+      "Epoch 290/1000, Cost: 4.3429\n",
+      " and the parameters are [-2.31629235  3.21180637] -4.103142744539913 ;\n",
+      "Epoch 290/1000, Cost: 4.8325\n",
+      " and the parameters are [-2.31629424  3.21187869] -4.103105254386483 ;\n",
+      "Epoch 290/1000, Cost: 2.3421\n",
+      " and the parameters are [-2.3163231   3.21192302] -4.103104912935763 ;\n",
+      "Epoch 290/1000, Cost: 3.7191\n",
+      " and the parameters are [-2.31638403  3.211868  ] -4.103148329280232 ;\n",
+      "Epoch 290/1000, Cost: 8.2004\n",
+      " and the parameters are [-2.31644118  3.21172302] -4.103243941966874 ;\n",
+      "Epoch 290/1000, Cost: 2.3719\n",
+      " and the parameters are [-2.31641559  3.21182808] -4.103212257116915 ;\n",
+      "Epoch 290/1000, Cost: 2.5761\n",
+      " and the parameters are [-2.31644574  3.21186375] -4.103220452595673 ;\n",
+      "Epoch 290/1000, Cost: 3.9449\n",
+      " and the parameters are [-2.31639587  3.21186941] -4.103309724603439 ;\n",
+      "Epoch 290/1000, Cost: 3.0670\n",
+      " and the parameters are [-2.31642846  3.21189532] -4.103326927588059 ;\n",
+      "Epoch 290/1000, Cost: 3.9580\n",
+      " and the parameters are [-2.31640453  3.21189975] -4.103388921330915 ;\n",
+      "Epoch 290/1000, Cost: 3.0957\n",
+      " and the parameters are [-2.31642685  3.21195048] -4.103396786483972 ;\n",
+      "Epoch 290/1000, Cost: 3.3895\n",
+      " and the parameters are [-2.31636766  3.21198173] -4.103443637140108 ;\n",
+      "Epoch 290/1000, Cost: 3.4440\n",
+      " and the parameters are [-2.31635642  3.21195705] -4.103500924604104 ;\n",
+      "Epoch 290/1000, Cost: 4.2615\n",
+      " and the parameters are [-2.31642548  3.21193488] -4.103531231865983 ;\n",
+      "Epoch 290/1000, Cost: 2.0300\n",
+      " and the parameters are [-2.31644573  3.21188786] -4.103591077489475 ;\n",
+      "Epoch 290/1000, Cost: 3.8608\n",
+      " and the parameters are [-2.3164141   3.21198741] -4.103576025086702 ;\n",
+      "Epoch 290/1000, Cost: 5.5676\n",
+      " and the parameters are [-2.31635663  3.21197777] -4.103638088095016 ;\n",
+      "Epoch 290/1000, Cost: 1.4713\n",
+      " and the parameters are [-2.31632877  3.21202713] -4.103653479767255 ;\n",
+      "Epoch 290/1000, Cost: 2.8510\n",
+      " and the parameters are [-2.31630191  3.21213902] -4.103634052447284 ;\n",
+      "Epoch 290/1000, Cost: 4.2509\n",
+      " and the parameters are [-2.31632857  3.21209178] -4.103692031032894 ;\n",
+      "Epoch 290/1000, Cost: 1.9170\n",
+      " and the parameters are [-2.31635298  3.21218017] -4.103655804626544 ;\n",
+      "Epoch 290/1000, Cost: 4.2178\n",
+      " and the parameters are [-2.31639212  3.21217223] -4.1036709848555555 ;\n",
+      "Epoch 290/1000, Cost: 2.5294\n",
+      " and the parameters are [-2.31636398  3.2121846 ] -4.1037324512705275 ;\n",
+      "Epoch 290/1000, Cost: 3.7441\n",
+      " and the parameters are [-2.31648086  3.21203064] -4.103826757460191 ;\n",
+      "Epoch 290/1000, Cost: 2.8887\n",
+      " and the parameters are [-2.31650791  3.21203981] -4.10384335002534 ;\n",
+      "Epoch 290/1000, Cost: 4.5285\n",
+      " and the parameters are [-2.31642139  3.21207726] -4.103900575552251 ;\n",
+      "Epoch 290/1000, Cost: 5.5063\n",
+      " and the parameters are [-2.31635605  3.2121689 ] -4.1039055525220896 ;\n",
+      "Epoch 290/1000, Cost: 2.8773\n",
+      " and the parameters are [-2.31636891  3.21216982] -4.103946646260671 ;\n",
+      "Epoch 290/1000, Cost: 2.8402\n",
+      " and the parameters are [-2.31643742  3.2121794 ] -4.103949284105642 ;\n",
+      "Epoch 290/1000, Cost: 3.6605\n",
+      " and the parameters are [-2.31649976  3.21207932] -4.104033795983924 ;\n",
+      "Epoch 290/1000, Cost: 7.0849\n",
+      " and the parameters are [-2.31660007  3.21194949] -4.104111944272194 ;\n",
+      "Epoch 290/1000, Cost: 3.4572\n",
+      " and the parameters are [-2.31664422  3.21198269] -4.104115751304468 ;\n",
+      "Epoch 290/1000, Cost: 4.1667\n",
+      " and the parameters are [-2.31665013  3.21209688] -4.104082016202605 ;\n",
+      "Epoch 290/1000, Cost: 3.1353\n",
+      " and the parameters are [-2.31662232  3.21211755] -4.104123853724828 ;\n",
+      "Epoch 290/1000, Cost: 4.3695\n",
+      " and the parameters are [-2.31660288  3.21223337] -4.104081265078387 ;\n",
+      "Epoch 290/1000, Cost: 3.4577\n",
+      " and the parameters are [-2.31663428  3.21223643] -4.10410948957488 ;\n",
+      "Epoch 290/1000, Cost: 3.2297\n",
+      " and the parameters are [-2.31660792  3.21229712] -4.104123016411282 ;\n",
+      "Epoch 290/1000, Cost: 4.3766\n",
+      " and the parameters are [-2.31663226  3.21221009] -4.104212507195681 ;\n",
+      "Epoch 290/1000, Cost: 2.9481\n",
+      " and the parameters are [-2.31674127  3.21222874] -4.104186569812821 ;\n",
+      "Epoch 290/1000, Cost: 2.9497\n",
+      " and the parameters are [-2.31672735  3.21229576] -4.104192913829193 ;\n",
+      "Epoch 290/1000, Cost: 4.7966\n",
+      " and the parameters are [-2.31678687  3.21232514] -4.104187412375274 ;\n",
+      "Epoch 290/1000, Cost: 3.5542\n",
+      " and the parameters are [-2.31676458  3.21229923] -4.104265167044471 ;\n",
+      "Epoch 290/1000, Cost: 3.3911\n",
+      " and the parameters are [-2.31676981  3.21235014] -4.104262293743402 ;\n",
+      "Epoch 290/1000, Cost: 3.6061\n",
+      " and the parameters are [-2.31681919  3.21237366] -4.104257835128436 ;\n",
+      "Epoch 290/1000, Cost: 5.1399\n",
+      " and the parameters are [-2.31683397  3.21246616] -4.104207114280601 ;\n",
+      "Epoch 290/1000, Cost: 3.9774\n",
+      " and the parameters are [-2.31680312  3.21242072] -4.104300730455791 ;\n",
+      "Epoch 290/1000, Cost: 4.0127\n",
+      " and the parameters are [-2.31682853  3.21241665] -4.1043494551426045 ;\n",
+      "Epoch 290/1000, Cost: 3.4415\n",
+      " and the parameters are [-2.31681982  3.21254089] -4.104304852111373 ;\n",
+      "Epoch 290/1000, Cost: 1.7868\n",
+      " and the parameters are [-2.31681265  3.21256871] -4.1043307588684526 ;\n",
+      "Epoch 290/1000, Cost: 2.4923\n",
+      " and the parameters are [-2.31676829  3.21259694] -4.1043847917083145 ;\n",
+      "Epoch 290/1000, Cost: 4.1356\n",
+      " and the parameters are [-2.31675211  3.21251905] -4.104521130973414 ;\n",
+      "Epoch 290/1000, Cost: 2.2822\n",
+      " and the parameters are [-2.31675796  3.21255129] -4.104528009720286 ;\n",
+      "Epoch 290/1000, Cost: 5.1423\n",
+      " and the parameters are [-2.31677711  3.21247641] -4.104598151858745 ;\n",
+      "Epoch 290/1000, Cost: 4.7089\n",
+      " and the parameters are [-2.31679638  3.21231651] -4.104726384286553 ;\n",
+      "Epoch 290/1000, Cost: 6.8650\n",
+      " and the parameters are [-2.31673396  3.21231902] -4.104794678023892 ;\n",
+      "Epoch 290/1000, Cost: 3.6554\n",
+      " and the parameters are [-2.3167795   3.21240348] -4.104740388280747 ;\n",
+      "Epoch 290/1000, Cost: 3.3671\n",
+      " and the parameters are [-2.3167727   3.21241956] -4.104786340778331 ;\n",
+      "Epoch 290/1000, Cost: 2.1042\n",
+      " and the parameters are [-2.31679918  3.21243992] -4.104809958926509 ;\n",
+      "Epoch 290/1000, Cost: 1.9229\n",
+      " and the parameters are [-2.31684359  3.2124476 ] -4.104826348638555 ;\n",
+      "Epoch 290/1000, Cost: 5.7143\n",
+      " and the parameters are [-2.31695099  3.21241013] -4.104844555681927 ;\n",
+      "Epoch 290/1000, Cost: 5.1128\n",
+      " and the parameters are [-2.31691766  3.21245475] -4.104861368417676 ;\n",
+      "Epoch 290/1000, Cost: 4.1462\n",
+      " and the parameters are [-2.31696254  3.21251845] -4.104843057395311 ;\n",
+      "Epoch 290/1000, Cost: 2.5007\n",
+      " and the parameters are [-2.31699052  3.21254984] -4.104853977655579 ;\n",
+      "Epoch 290/1000, Cost: 3.6580\n",
+      " and the parameters are [-2.31701762  3.21252974] -4.104883939480842 ;\n",
+      "Epoch 290/1000, Cost: 2.5818\n",
+      " and the parameters are [-2.31704506  3.21252838] -4.104923790498093 ;\n",
+      "Epoch 290/1000, Cost: 2.3582\n",
+      " and the parameters are [-2.31702593  3.21260377] -4.104918150090456 ;\n",
+      "Epoch 290/1000, Cost: 5.6368\n",
+      " and the parameters are [-2.31700584  3.21262888] -4.104933149066009 ;\n",
+      "Epoch 290/1000, Cost: 2.9033\n",
+      " and the parameters are [-2.31702844  3.2127026 ] -4.104912382044739 ;\n",
+      "Epoch 290/1000, Cost: 4.0992\n",
+      " and the parameters are [-2.31698742  3.2127404 ] -4.104959401467261 ;\n",
+      "Epoch 290/1000, Cost: 3.1913\n",
+      " and the parameters are [-2.31699622  3.21289161] -4.104889954667442 ;\n",
+      "Epoch 290/1000, Cost: 3.2336\n",
+      " and the parameters are [-2.31702513  3.21283996] -4.1049459667193045 ;\n",
+      "Epoch 290/1000, Cost: 3.8106\n",
+      " and the parameters are [-2.31701785  3.21286387] -4.10497552224712 ;\n",
+      "Epoch 290/1000, Cost: 7.2500\n",
+      " and the parameters are [-2.31707732  3.21291348] -4.104882934504145 ;\n",
+      "Epoch 290/1000, Cost: 3.0039\n",
+      " and the parameters are [-2.31710243  3.2128277 ] -4.104972701611685 ;\n",
+      "Epoch 290/1000, Cost: 4.8825\n",
+      " and the parameters are [-2.31707096  3.21291805] -4.104958021246167 ;\n",
+      "Epoch 290/1000, Cost: 1.9667\n",
+      " and the parameters are [-2.31704189  3.21299579] -4.104957302004736 ;\n",
+      "Epoch 290/1000, Cost: 2.5720\n",
+      " and the parameters are [-2.31699708  3.21310036] -4.104958588600433 ;\n",
+      "Epoch 290/1000, Cost: 4.7866\n",
+      " and the parameters are [-2.31699494  3.21311122] -4.104990767355127 ;\n",
+      "Epoch 290/1000, Cost: 2.9257\n",
+      " and the parameters are [-2.31700801  3.21306167] -4.1050729599994895 ;\n",
+      "Epoch 290/1000, Cost: 5.9750\n",
+      " and the parameters are [-2.3169228   3.21317125] -4.105072244328493 ;\n",
+      "Epoch 290/1000, Cost: 2.2959\n",
+      " and the parameters are [-2.31695026  3.21318303] -4.105089805960264 ;\n",
+      "Epoch 290/1000, Cost: 3.5461\n",
+      " and the parameters are [-2.31695211  3.21317145] -4.105157318867544 ;\n",
+      "Epoch 290/1000, Cost: 2.3018\n",
+      " and the parameters are [-2.31699622  3.21323357] -4.10514187398195 ;\n",
+      "Epoch 290/1000, Cost: 3.0103\n",
+      " and the parameters are [-2.31696798  3.21338015] -4.105090847144987 ;\n",
+      "Epoch 290/1000, Cost: 3.7590\n",
+      " and the parameters are [-2.31694979  3.21353829] -4.105018174238944 ;\n",
+      "Epoch 290/1000, Cost: 7.2020\n",
+      " and the parameters are [-2.31693036  3.21344832] -4.105129470201094 ;\n",
+      "Epoch 290/1000, Cost: 3.1920\n",
+      " and the parameters are [-2.31698781  3.21340964] -4.1051686732354495 ;\n",
+      "Epoch 290/1000, Cost: 3.5612\n",
+      " and the parameters are [-2.31698306  3.21344069] -4.105204007269245 ;\n",
+      "Epoch 290/1000, Cost: 5.7857\n",
+      " and the parameters are [-2.31706386  3.21338032] -4.105237470624368 ;\n",
+      "Epoch 290/1000, Cost: 5.3045\n",
+      " and the parameters are [-2.31704806  3.21339448] -4.1052770999579575 ;\n",
+      "Epoch 290/1000, Cost: 4.3299\n",
+      " and the parameters are [-2.31709009  3.21337993] -4.10532639239066 ;\n",
+      "Epoch 290/1000, Cost: 5.1962\n",
+      " and the parameters are [-2.31709379  3.21331703] -4.105427959042422 ;\n",
+      "Epoch 290/1000, Cost: 3.0882\n",
+      " and the parameters are [-2.31717475  3.21329333] -4.105452439177388 ;\n",
+      "Epoch 290/1000, Cost: 4.1814\n",
+      " and the parameters are [-2.31726288  3.21328112] -4.105470434075481 ;\n",
+      "Epoch 290/1000, Cost: 4.8181\n",
+      " and the parameters are [-2.31722954  3.21328104] -4.105505688992131 ;\n",
+      "Epoch 290/1000, Cost: 4.4216\n",
+      " and the parameters are [-2.31729444  3.21314876] -4.1056185282156905 ;\n",
+      "Epoch 290/1000, Cost: 4.9375\n",
+      " and the parameters are [-2.31722806  3.21327065] -4.105588469593905 ;\n",
+      "Epoch 290/1000, Cost: 4.0332\n",
+      " and the parameters are [-2.31729675  3.2131598 ] -4.105682977991825 ;\n",
+      "Epoch 290/1000, Cost: 4.3937\n",
+      " and the parameters are [-2.31731166  3.21311264] -4.105752706176062 ;\n",
+      "Epoch 290/1000, Cost: 1.5552\n",
+      " and the parameters are [-2.3173022   3.21318091] -4.10575037441465 ;\n",
+      "Epoch 290/1000, Cost: 4.7876\n",
+      " and the parameters are [-2.31739701  3.21311884] -4.105773822392357 ;\n",
+      "Epoch 290/1000, Cost: 5.5565\n",
+      " and the parameters are [-2.31749253  3.21311669] -4.105757649766126 ;\n",
+      "Epoch 290/1000, Cost: 3.8776\n",
+      " and the parameters are [-2.31751167  3.21318341] -4.105746120224681 ;\n",
+      "Epoch 290/1000, Cost: 3.8741\n",
+      " and the parameters are [-2.31746236  3.21324853] -4.105744431457119 ;\n",
+      "Epoch 290/1000, Cost: 3.2777\n",
+      " and the parameters are [-2.3174898   3.21330049] -4.105741596059124 ;\n",
+      "Epoch 290/1000, Cost: 3.5486\n",
+      " and the parameters are [-2.31745871  3.21330978] -4.105813583534498 ;\n",
+      "Epoch 290/1000, Cost: 5.9358\n",
+      " and the parameters are [-2.31750933  3.21329504] -4.105806112336524 ;\n",
+      "Epoch 290/1000, Cost: 8.0736\n",
+      " and the parameters are [-2.3174396   3.21334489] -4.105819799891402 ;\n",
+      "Epoch 290/1000, Cost: 3.0515\n",
+      " and the parameters are [-2.31743863  3.21329199] -4.105907705931652 ;\n",
+      "Epoch 290/1000, Cost: 2.7502\n",
+      " and the parameters are [-2.31744209  3.21332428] -4.105939774195136 ;\n",
+      "Epoch 290/1000, Cost: 1.3999\n",
+      " and the parameters are [-2.31742482  3.21340997] -4.1059269333155015 ;\n",
+      "Epoch 290/1000, Cost: 5.5572\n",
+      " and the parameters are [-2.31751871  3.21337924] -4.105930295826048 ;\n",
+      "Epoch 290/1000, Cost: 5.7070\n",
+      " and the parameters are [-2.31760717  3.21339529] -4.105906690136267 ;\n",
+      "Epoch 290/1000, Cost: 5.8104\n",
+      " and the parameters are [-2.31763097  3.21328466] -4.1060037199923896 ;\n",
+      "Epoch 290/1000, Cost: 2.7341\n",
+      " and the parameters are [-2.31763592  3.21343877] -4.105931801630205 ;\n",
+      "Epoch 290/1000, Cost: 2.5578\n",
+      " and the parameters are [-2.31763385  3.21342983] -4.106000459459915 ;\n",
+      "Epoch 290/1000, Cost: 5.2976\n",
+      " and the parameters are [-2.31772074  3.21338251] -4.10601440146624 ;\n",
+      "Epoch 290/1000, Cost: 2.6389\n",
+      " and the parameters are [-2.31777816  3.21330213] -4.106082243419663 ;\n",
+      "Epoch 290/1000, Cost: 3.8927\n",
+      " and the parameters are [-2.31778392  3.2132022 ] -4.106198106525742 ;\n",
+      "Epoch 290/1000, Cost: 2.5712\n",
+      " and the parameters are [-2.31774737  3.21322252] -4.106253244053738 ;\n",
+      "Epoch 290/1000, Cost: 3.6798\n",
+      " and the parameters are [-2.31778096  3.2132599 ] -4.106248413730219 ;\n",
+      "Epoch 290/1000, Cost: 4.1713\n",
+      " and the parameters are [-2.31778199  3.21327086] -4.10630479884013 ;\n",
+      "Epoch 290/1000, Cost: 3.5253\n",
+      " and the parameters are [-2.31780376  3.21318473] -4.106412022485751 ;\n",
+      "Epoch 290/1000, Cost: 2.5301\n",
+      " and the parameters are [-2.3178498   3.21319478] -4.106424434313751 ;\n",
+      "Epoch 290/1000, Cost: 1.8784\n",
+      " and the parameters are [-2.31786666  3.21319824] -4.106454273470036 ;\n",
+      "Epoch 290/1000, Cost: 7.3167\n",
+      " and the parameters are [-2.31788284  3.21314935] -4.1065139770703905 ;\n",
+      "Epoch 290/1000, Cost: 4.6165\n",
+      " and the parameters are [-2.31775673  3.2133483 ] -4.106480771957267 ;\n",
+      "Epoch 290/1000, Cost: 4.8009\n",
+      " and the parameters are [-2.31778417  3.213533  ] -4.1063565061550165 ;\n",
+      "Epoch 290/1000, Cost: 2.9527\n",
+      " and the parameters are [-2.31778631  3.21353757] -4.106409455343832 ;\n",
+      "Epoch 290/1000, Cost: 6.6731\n",
+      " and the parameters are [-2.31793495  3.21346148] -4.106399929563203 ;\n",
+      "Epoch 290/1000, Cost: 3.2333\n",
+      " and the parameters are [-2.31787088  3.21342573] -4.106493028661259 ;\n",
+      "Epoch 290/1000, Cost: 1.8791\n",
+      " and the parameters are [-2.3179061   3.21346005] -4.1064842282019365 ;\n",
+      "Epoch 290/1000, Cost: 1.9151\n",
+      " and the parameters are [-2.31785615  3.21358562] -4.106466552519072 ;\n",
+      "Epoch 290/1000, Cost: 3.3433\n",
+      " and the parameters are [-2.31782141  3.21370604] -4.106447918682935 ;\n",
+      "Epoch 290/1000, Cost: 2.5016\n",
+      " and the parameters are [-2.31783176  3.21373271] -4.106479516786387 ;\n",
+      "Epoch 290/1000, Cost: 1.7196\n",
+      " and the parameters are [-2.31786181  3.21379981] -4.106458297162256 ;\n",
+      "Epoch 290/1000, Cost: 2.5193\n",
+      " and the parameters are [-2.31788039  3.21383316] -4.1064718045237125 ;\n",
+      "Epoch 290/1000, Cost: 2.7606\n",
+      " and the parameters are [-2.31785435  3.21385927] -4.106515680658629 ;\n",
+      "Epoch 290/1000, Cost: 4.2617\n",
+      " and the parameters are [-2.3177796  3.2138702] -4.106593594381791 ;\n",
+      "Epoch 290/1000, Cost: 6.3373\n",
+      " and the parameters are [-2.31780047  3.21381663] -4.106663595806022 ;\n",
+      "Epoch 290/1000, Cost: 4.4722\n",
+      " and the parameters are [-2.31781945  3.2137903 ] -4.1067325744918195 ;\n",
+      "Epoch 290/1000, Cost: 4.3844\n",
+      " and the parameters are [-2.31787268  3.21374595] -4.106767230466172 ;\n",
+      "Epoch 290/1000, Cost: 3.5696\n",
+      " and the parameters are [-2.31788985  3.21372142] -4.10683003755601 ;\n",
+      "Epoch 290/1000, Cost: 4.5965\n",
+      " and the parameters are [-2.31794149  3.21365623] -4.106904951024538 ;\n",
+      "Epoch 290/1000, Cost: 6.0891\n",
+      " and the parameters are [-2.31785303  3.21387088] -4.106801403114821 ;\n",
+      "Epoch 290/1000, Cost: 4.2304\n",
+      " and the parameters are [-2.31784068  3.21395564] -4.106778607259073 ;\n",
+      "Epoch 290/1000, Cost: 3.4580\n",
+      " and the parameters are [-2.31785295  3.21404102] -4.1067482634780115 ;\n",
+      "Epoch 290/1000, Cost: 3.1104\n",
+      " and the parameters are [-2.3179023   3.21402666] -4.106791803891246 ;\n",
+      "Epoch 290/1000, Cost: 3.6286\n",
+      " and the parameters are [-2.31790611  3.2139727 ] -4.106880229868488 ;\n",
+      "Epoch 290/1000, Cost: 4.3911\n",
+      " and the parameters are [-2.31796526  3.2140603 ] -4.106842982806341 ;\n",
+      "Epoch 290/1000, Cost: 6.4269\n",
+      " and the parameters are [-2.31802769  3.21394936] -4.106912193849806 ;\n",
+      "Epoch 290/1000, Cost: 6.4950\n",
+      " and the parameters are [-2.31821983  3.21393551] -4.106858421448693 ;\n",
+      "Epoch 290/1000, Cost: 3.6317\n",
+      " and the parameters are [-2.31823354  3.21388251] -4.10693594844618 ;\n",
+      "Epoch 290/1000, Cost: 2.6421\n",
+      " and the parameters are [-2.31823496  3.21389127] -4.106978010239421 ;\n",
+      "Epoch 290/1000, Cost: 8.3869\n",
+      " and the parameters are [-2.31818563  3.21384872] -4.107072796143976 ;\n",
+      "Epoch 290/1000, Cost: 4.2001\n",
+      " and the parameters are [-2.31819055  3.2138872 ] -4.1070946004123 ;\n",
+      "Epoch 290/1000, Cost: 2.7584\n",
+      " and the parameters are [-2.31816514  3.213988  ] -4.107071218081541 ;\n",
+      "Epoch 290/1000, Cost: 3.6034\n",
+      " and the parameters are [-2.31822731  3.21396646] -4.107096167732293 ;\n",
+      "Epoch 290/1000, Cost: 3.4499\n",
+      " and the parameters are [-2.31820214  3.21397787] -4.107151800284969 ;\n",
+      "Epoch 290/1000, Cost: 1.5641\n",
+      " and the parameters are [-2.31817448  3.21404828] -4.107156724747765 ;\n",
+      "Epoch 290/1000, Cost: 2.0381\n",
+      " and the parameters are [-2.31817142  3.2141104 ] -4.10716157780758 ;\n",
+      "Epoch 290/1000, Cost: 2.6744\n",
+      " and the parameters are [-2.31818358  3.2140821 ] -4.107222502101935 ;\n",
+      "Epoch 290/1000, Cost: 2.7081\n",
+      " and the parameters are [-2.31821652  3.21416518] -4.107189295668294 ;\n",
+      "Epoch 290/1000, Cost: 2.7020\n",
+      " and the parameters are [-2.31820255  3.2142256 ] -4.107211558047038 ;\n",
+      "Epoch 290/1000, Cost: 3.5722\n",
+      " and the parameters are [-2.31823417  3.2142432 ] -4.10722437576682 ;\n",
+      "Epoch 290/1000, Cost: 1.7748\n",
+      " and the parameters are [-2.31823964  3.21430032] -4.107225465173433 ;\n",
+      "Epoch 290/1000, Cost: 4.8426\n",
+      " and the parameters are [-2.31826769  3.21432846] -4.107232132026053 ;\n",
+      "Epoch 290/1000, Cost: 2.8820\n",
+      " and the parameters are [-2.31824387  3.21437046] -4.107257902874466 ;\n",
+      "Epoch 290/1000, Cost: 3.0274\n",
+      " and the parameters are [-2.31828419  3.21440284] -4.107269179002155 ;\n",
+      "Epoch 290/1000, Cost: 2.3865\n",
+      " and the parameters are [-2.3182813   3.21445031] -4.107288477167026 ;\n",
+      "Epoch 290/1000, Cost: 9.2971\n",
+      " and the parameters are [-2.3184266  3.2141716] -4.107417065608645 ;\n",
+      "Epoch 290/1000, Cost: 3.0621\n",
+      " and the parameters are [-2.31839059  3.21426612] -4.107417277974939 ;\n",
+      "Epoch 290/1000, Cost: 5.9262\n",
+      " and the parameters are [-2.31840447  3.21422796] -4.107482849282481 ;\n",
+      "Epoch 290/1000, Cost: 1.9712\n",
+      " and the parameters are [-2.31842366  3.21428517] -4.107476062459549 ;\n",
+      "Epoch 290/1000, Cost: 4.5531\n",
+      " and the parameters are [-2.3184584   3.21427928] -4.107526079165139 ;\n",
+      "Epoch 300/1000, Cost: 3.9250\n",
+      " and the parameters are [-2.34169328  3.24266893] -4.148845738609842 ;\n",
+      "Epoch 300/1000, Cost: 5.4194\n",
+      " and the parameters are [-2.34168963  3.24255145] -4.148955725944713 ;\n",
+      "Epoch 300/1000, Cost: 2.5569\n",
+      " and the parameters are [-2.34172329  3.24253115] -4.148992040555181 ;\n",
+      "Epoch 300/1000, Cost: 3.6484\n",
+      " and the parameters are [-2.34182069  3.2424848 ] -4.1490182685199875 ;\n",
+      "Epoch 300/1000, Cost: 1.9679\n",
+      " and the parameters are [-2.34183112  3.24254514] -4.149016597364767 ;\n",
+      "Epoch 300/1000, Cost: 3.2337\n",
+      " and the parameters are [-2.34182216  3.2426091 ] -4.149017125762454 ;\n",
+      "Epoch 300/1000, Cost: 1.4279\n",
+      " and the parameters are [-2.34180303  3.24266381] -4.14902822714242 ;\n",
+      "Epoch 300/1000, Cost: 5.3425\n",
+      " and the parameters are [-2.3418012   3.24267126] -4.149040915602543 ;\n",
+      "Epoch 300/1000, Cost: 5.0010\n",
+      " and the parameters are [-2.34187659  3.24262722] -4.149065784818094 ;\n",
+      "Epoch 300/1000, Cost: 2.9281\n",
+      " and the parameters are [-2.34191227  3.24266935] -4.149059930345643 ;\n",
+      "Epoch 300/1000, Cost: 4.4473\n",
+      " and the parameters are [-2.34197842  3.24263042] -4.149088385124149 ;\n",
+      "Epoch 300/1000, Cost: 2.9185\n",
+      " and the parameters are [-2.34200309  3.24270942] -4.149056416358068 ;\n",
+      "Epoch 300/1000, Cost: 2.9896\n",
+      " and the parameters are [-2.34202233  3.2427    ] -4.14909186135247 ;\n",
+      "Epoch 300/1000, Cost: 2.8332\n",
+      " and the parameters are [-2.34199728  3.24269785] -4.149154002091837 ;\n",
+      "Epoch 300/1000, Cost: 3.3122\n",
+      " and the parameters are [-2.34201528  3.24278167] -4.149134560342063 ;\n",
+      "Epoch 300/1000, Cost: 4.7490\n",
+      " and the parameters are [-2.34205767  3.24283471] -4.1491397332526745 ;\n",
+      "Epoch 300/1000, Cost: 5.4746\n",
+      " and the parameters are [-2.34201145  3.24294403] -4.149071040631449 ;\n",
+      "Epoch 300/1000, Cost: 5.0558\n",
+      " and the parameters are [-2.34204248  3.24293106] -4.149095026234372 ;\n",
+      "Epoch 300/1000, Cost: 7.0704\n",
+      " and the parameters are [-2.34214281  3.24287946] -4.149109867298519 ;\n",
+      "Epoch 300/1000, Cost: 4.2057\n",
+      " and the parameters are [-2.34213163  3.24294212] -4.149116835954397 ;\n",
+      "Epoch 300/1000, Cost: 5.9686\n",
+      " and the parameters are [-2.34205693  3.24306   ] -4.149079291987837 ;\n",
+      "Epoch 300/1000, Cost: 2.2508\n",
+      " and the parameters are [-2.34209392  3.24308816] -4.149091055008619 ;\n",
+      "Epoch 300/1000, Cost: 5.3280\n",
+      " and the parameters are [-2.34215984  3.2430277 ] -4.149131950510464 ;\n",
+      "Epoch 300/1000, Cost: 3.4352\n",
+      " and the parameters are [-2.34215185  3.24310679] -4.149103385525503 ;\n",
+      "Epoch 300/1000, Cost: 4.3888\n",
+      " and the parameters are [-2.34219357  3.24303339] -4.14918243263021 ;\n",
+      "Epoch 300/1000, Cost: 3.5705\n",
+      " and the parameters are [-2.34218996  3.24297614] -4.1492713759228055 ;\n",
+      "Epoch 300/1000, Cost: 4.6760\n",
+      " and the parameters are [-2.34225917  3.2430544 ] -4.149228315297836 ;\n",
+      "Epoch 300/1000, Cost: 4.6371\n",
+      " and the parameters are [-2.34221361  3.24301399] -4.149333782240303 ;\n",
+      "Epoch 300/1000, Cost: 3.9102\n",
+      " and the parameters are [-2.34232596  3.24298752] -4.149340726245527 ;\n",
+      "Epoch 300/1000, Cost: 3.6257\n",
+      " and the parameters are [-2.34230704  3.24303431] -4.149362521817366 ;\n",
+      "Epoch 300/1000, Cost: 9.1302\n",
+      " and the parameters are [-2.34234378  3.24303087] -4.149325271196375 ;\n",
+      "Epoch 300/1000, Cost: 3.8089\n",
+      " and the parameters are [-2.34234273  3.24298761] -4.149384937672701 ;\n",
+      "Epoch 300/1000, Cost: 4.6805\n",
+      " and the parameters are [-2.34244056  3.24290669] -4.149438133256942 ;\n",
+      "Epoch 300/1000, Cost: 4.5768\n",
+      " and the parameters are [-2.34245141  3.24291145] -4.149467079746194 ;\n",
+      "Epoch 300/1000, Cost: 2.1100\n",
+      " and the parameters are [-2.34246676  3.24291766] -4.149493533911354 ;\n",
+      "Epoch 300/1000, Cost: 2.0469\n",
+      " and the parameters are [-2.34250104  3.24292679] -4.149510121746997 ;\n",
+      "Epoch 300/1000, Cost: 2.9977\n",
+      " and the parameters are [-2.34248803  3.24301441] -4.149504043744976 ;\n",
+      "Epoch 300/1000, Cost: 2.7185\n",
+      " and the parameters are [-2.34250872  3.24304889] -4.149512498601915 ;\n",
+      "Epoch 300/1000, Cost: 3.9093\n",
+      " and the parameters are [-2.34256518  3.24297861] -4.149560766850776 ;\n",
+      "Epoch 300/1000, Cost: 3.6169\n",
+      " and the parameters are [-2.34252016  3.24308942] -4.149548663073762 ;\n",
+      "Epoch 300/1000, Cost: 2.7324\n",
+      " and the parameters are [-2.3425161   3.24311823] -4.149576250486816 ;\n",
+      "Epoch 300/1000, Cost: 3.3418\n",
+      " and the parameters are [-2.34252187  3.24314588] -4.149583335218861 ;\n",
+      "Epoch 300/1000, Cost: 1.8097\n",
+      " and the parameters are [-2.34255878  3.24318901] -4.149567651125728 ;\n",
+      "Epoch 300/1000, Cost: 2.8288\n",
+      " and the parameters are [-2.34260499  3.24317101] -4.1496017878340306 ;\n",
+      "Epoch 300/1000, Cost: 2.8447\n",
+      " and the parameters are [-2.34264683  3.24311254] -4.149673743551688 ;\n",
+      "Epoch 300/1000, Cost: 2.4418\n",
+      " and the parameters are [-2.34267601  3.24309963] -4.149732732752853 ;\n",
+      "Epoch 300/1000, Cost: 2.7639\n",
+      " and the parameters are [-2.34268138  3.24317647] -4.149730268927699 ;\n",
+      "Epoch 300/1000, Cost: 4.0681\n",
+      " and the parameters are [-2.34274201  3.24307069] -4.1498347688078825 ;\n",
+      "Epoch 300/1000, Cost: 2.9521\n",
+      " and the parameters are [-2.34263657  3.24317729] -4.149850270772654 ;\n",
+      "Epoch 300/1000, Cost: 4.5564\n",
+      " and the parameters are [-2.34264878  3.24319777] -4.149867935206777 ;\n",
+      "Epoch 300/1000, Cost: 2.2814\n",
+      " and the parameters are [-2.34264962  3.24324717] -4.149866776868094 ;\n",
+      "Epoch 300/1000, Cost: 2.2328\n",
+      " and the parameters are [-2.34261484  3.24331054] -4.149890141270746 ;\n",
+      "Epoch 300/1000, Cost: 3.2377\n",
+      " and the parameters are [-2.34259937  3.24337383] -4.1498971449614235 ;\n",
+      "Epoch 300/1000, Cost: 2.8113\n",
+      " and the parameters are [-2.34263393  3.24341156] -4.149896695459324 ;\n",
+      "Epoch 300/1000, Cost: 2.3911\n",
+      " and the parameters are [-2.34270343  3.24342479] -4.149895362097867 ;\n",
+      "Epoch 300/1000, Cost: 3.3968\n",
+      " and the parameters are [-2.34265677  3.24348902] -4.149901997418568 ;\n",
+      "Epoch 300/1000, Cost: 2.3842\n",
+      " and the parameters are [-2.34265028  3.2435062 ] -4.149937208884019 ;\n",
+      "Epoch 300/1000, Cost: 2.2412\n",
+      " and the parameters are [-2.34266834  3.2435405 ] -4.149949426968781 ;\n",
+      "Epoch 300/1000, Cost: 6.8672\n",
+      " and the parameters are [-2.34268623  3.24353973] -4.149964439186325 ;\n",
+      "Epoch 300/1000, Cost: 3.1765\n",
+      " and the parameters are [-2.3427442   3.24341962] -4.150062730077109 ;\n",
+      "Epoch 300/1000, Cost: 3.0033\n",
+      " and the parameters are [-2.34272364  3.24355813] -4.150019901051944 ;\n",
+      "Epoch 300/1000, Cost: 4.6400\n",
+      " and the parameters are [-2.34281733  3.24348269] -4.150080910410333 ;\n",
+      "Epoch 300/1000, Cost: 1.4443\n",
+      " and the parameters are [-2.34280719  3.24356094] -4.150066098862466 ;\n",
+      "Epoch 300/1000, Cost: 2.3912\n",
+      " and the parameters are [-2.34280045  3.2436407 ] -4.150048239865807 ;\n",
+      "Epoch 300/1000, Cost: 7.6898\n",
+      " and the parameters are [-2.34284375  3.24346265] -4.150199721446762 ;\n",
+      "Epoch 300/1000, Cost: 4.5876\n",
+      " and the parameters are [-2.3428514   3.24349695] -4.150234521564805 ;\n",
+      "Epoch 300/1000, Cost: 4.0163\n",
+      " and the parameters are [-2.34300872  3.24340334] -4.1502668073492925 ;\n",
+      "Epoch 300/1000, Cost: 3.4228\n",
+      " and the parameters are [-2.34307421  3.2433489 ] -4.150326639584063 ;\n",
+      "Epoch 300/1000, Cost: 4.8249\n",
+      " and the parameters are [-2.34307605  3.24329532] -4.150401966989679 ;\n",
+      "Epoch 300/1000, Cost: 4.2961\n",
+      " and the parameters are [-2.34303191  3.24322359] -4.15049937692168 ;\n",
+      "Epoch 300/1000, Cost: 3.7891\n",
+      " and the parameters are [-2.34307526  3.24321861] -4.150545347790076 ;\n",
+      "Epoch 300/1000, Cost: 2.0382\n",
+      " and the parameters are [-2.34307546  3.24331589] -4.150515219879478 ;\n",
+      "Epoch 300/1000, Cost: 4.1902\n",
+      " and the parameters are [-2.34297085  3.24336225] -4.150569309155996 ;\n",
+      "Epoch 300/1000, Cost: 2.2701\n",
+      " and the parameters are [-2.34299638  3.24341063] -4.1505673975368405 ;\n",
+      "Epoch 300/1000, Cost: 4.7346\n",
+      " and the parameters are [-2.34297005  3.24349685] -4.15054215488486 ;\n",
+      "Epoch 300/1000, Cost: 1.7254\n",
+      " and the parameters are [-2.34299093  3.2435306 ] -4.1505478218672325 ;\n",
+      "Epoch 300/1000, Cost: 8.2898\n",
+      " and the parameters are [-2.34299044  3.24352592] -4.150556279505891 ;\n",
+      "Epoch 300/1000, Cost: 1.6131\n",
+      " and the parameters are [-2.34299752  3.24357555] -4.150550763698271 ;\n",
+      "Epoch 300/1000, Cost: 2.2792\n",
+      " and the parameters are [-2.34297934  3.24364203] -4.150560171724162 ;\n",
+      "Epoch 300/1000, Cost: 6.7262\n",
+      " and the parameters are [-2.34279251  3.24368695] -4.150667190463395 ;\n",
+      "Epoch 300/1000, Cost: 1.9047\n",
+      " and the parameters are [-2.34286008  3.24370463] -4.15065598514455 ;\n",
+      "Epoch 300/1000, Cost: 4.0710\n",
+      " and the parameters are [-2.34279641  3.24389979] -4.150593574126489 ;\n",
+      "Epoch 300/1000, Cost: 1.6183\n",
+      " and the parameters are [-2.34284405  3.24392398] -4.150588252808884 ;\n",
+      "Epoch 300/1000, Cost: 4.9199\n",
+      " and the parameters are [-2.34279507  3.24386799] -4.150673058728272 ;\n",
+      "Epoch 300/1000, Cost: 3.8654\n",
+      " and the parameters are [-2.34282999  3.24382649] -4.150735646144232 ;\n",
+      "Epoch 300/1000, Cost: 1.9802\n",
+      " and the parameters are [-2.34280824  3.24384373] -4.150782218286273 ;\n",
+      "Epoch 300/1000, Cost: 3.1640\n",
+      " and the parameters are [-2.34282015  3.2439396 ] -4.150759556528284 ;\n",
+      "Epoch 300/1000, Cost: 1.8383\n",
+      " and the parameters are [-2.34283878  3.24393736] -4.150792232259671 ;\n",
+      "Epoch 300/1000, Cost: 1.8959\n",
+      " and the parameters are [-2.34284678  3.24397289] -4.150808161523263 ;\n",
+      "Epoch 300/1000, Cost: 4.4142\n",
+      " and the parameters are [-2.34284575  3.24395629] -4.150865154396123 ;\n",
+      "Epoch 300/1000, Cost: 4.5020\n",
+      " and the parameters are [-2.34286127  3.24403448] -4.1508566412232755 ;\n",
+      "Epoch 300/1000, Cost: 3.3182\n",
+      " and the parameters are [-2.34284938  3.24408017] -4.150877347557151 ;\n",
+      "Epoch 300/1000, Cost: 3.7748\n",
+      " and the parameters are [-2.34287257  3.24405272] -4.150935822002027 ;\n",
+      "Epoch 300/1000, Cost: 3.7836\n",
+      " and the parameters are [-2.34287753  3.24398672] -4.15103543685396 ;\n",
+      "Epoch 300/1000, Cost: 3.0924\n",
+      " and the parameters are [-2.34285404  3.24407095] -4.151021977326263 ;\n",
+      "Epoch 300/1000, Cost: 6.4088\n",
+      " and the parameters are [-2.34289027  3.24416653] -4.150936924349085 ;\n",
+      "Epoch 300/1000, Cost: 3.3637\n",
+      " and the parameters are [-2.34286095  3.24431675] -4.150887472649635 ;\n",
+      "Epoch 300/1000, Cost: 3.8451\n",
+      " and the parameters are [-2.342917    3.24426234] -4.150952150477352 ;\n",
+      "Epoch 300/1000, Cost: 2.8744\n",
+      " and the parameters are [-2.3429931   3.24429531] -4.150931367573841 ;\n",
+      "Epoch 300/1000, Cost: 9.1927\n",
+      " and the parameters are [-2.34298125  3.24429337] -4.150922003309819 ;\n",
+      "Epoch 300/1000, Cost: 3.8481\n",
+      " and the parameters are [-2.34294116  3.24443251] -4.150890415352539 ;\n",
+      "Epoch 300/1000, Cost: 2.3526\n",
+      " and the parameters are [-2.34291013  3.2444865 ] -4.150914365824498 ;\n",
+      "Epoch 300/1000, Cost: 3.8015\n",
+      " and the parameters are [-2.34292541  3.24452484] -4.150926140380999 ;\n",
+      "Epoch 300/1000, Cost: 4.3860\n",
+      " and the parameters are [-2.34291299  3.24457825] -4.150940962834663 ;\n",
+      "Epoch 300/1000, Cost: 2.5951\n",
+      " and the parameters are [-2.34292918  3.24462495] -4.150949935969826 ;\n",
+      "Epoch 300/1000, Cost: 6.1330\n",
+      " and the parameters are [-2.34293655  3.24464771] -4.150961338416394 ;\n",
+      "Epoch 300/1000, Cost: 4.1941\n",
+      " and the parameters are [-2.34298898  3.24451755] -4.151091881302505 ;\n",
+      "Epoch 300/1000, Cost: 3.4228\n",
+      " and the parameters are [-2.34298788  3.24454217] -4.151139558533927 ;\n",
+      "Epoch 300/1000, Cost: 4.3328\n",
+      " and the parameters are [-2.34297709  3.24463924] -4.151129820610437 ;\n",
+      "Epoch 300/1000, Cost: 5.4061\n",
+      " and the parameters are [-2.34296704  3.24474854] -4.151082162742182 ;\n",
+      "Epoch 300/1000, Cost: 1.5274\n",
+      " and the parameters are [-2.34292905  3.24486102] -4.151055207028923 ;\n",
+      "Epoch 300/1000, Cost: 8.0476\n",
+      " and the parameters are [-2.34295838  3.24490005] -4.151015124109977 ;\n",
+      "Epoch 300/1000, Cost: 2.2094\n",
+      " and the parameters are [-2.34300421  3.24486408] -4.151068102671249 ;\n",
+      "Epoch 300/1000, Cost: 3.0464\n",
+      " and the parameters are [-2.34297998  3.24492039] -4.1510806280647135 ;\n",
+      "Epoch 300/1000, Cost: 4.8100\n",
+      " and the parameters are [-2.34299804  3.2449285 ] -4.151114434415144 ;\n",
+      "Epoch 300/1000, Cost: 5.2615\n",
+      " and the parameters are [-2.34303199  3.24483051] -4.151197226725653 ;\n",
+      "Epoch 300/1000, Cost: 5.0234\n",
+      " and the parameters are [-2.34310936  3.24499716] -4.151063644821841 ;\n",
+      "Epoch 300/1000, Cost: 1.7682\n",
+      " and the parameters are [-2.34313807  3.24501908] -4.151075953139529 ;\n",
+      "Epoch 300/1000, Cost: 2.1761\n",
+      " and the parameters are [-2.34312869  3.24510089] -4.151064838317027 ;\n",
+      "Epoch 300/1000, Cost: 5.0835\n",
+      " and the parameters are [-2.34322464  3.24505433] -4.151092980894917 ;\n",
+      "Epoch 300/1000, Cost: 3.5940\n",
+      " and the parameters are [-2.3432668   3.24509461] -4.151080461270255 ;\n",
+      "Epoch 300/1000, Cost: 5.1335\n",
+      " and the parameters are [-2.34323818  3.24508752] -4.151114627145794 ;\n",
+      "Epoch 300/1000, Cost: 2.9259\n",
+      " and the parameters are [-2.3432317   3.24522449] -4.151061113816977 ;\n",
+      "Epoch 300/1000, Cost: 5.1447\n",
+      " and the parameters are [-2.34319876  3.24523618] -4.151130161605576 ;\n",
+      "Epoch 300/1000, Cost: 3.4137\n",
+      " and the parameters are [-2.34321785  3.24527701] -4.15114438283944 ;\n",
+      "Epoch 300/1000, Cost: 3.3500\n",
+      " and the parameters are [-2.34314304  3.24541923] -4.151115889297753 ;\n",
+      "Epoch 300/1000, Cost: 2.0305\n",
+      " and the parameters are [-2.34310561  3.24548377] -4.151142033545872 ;\n",
+      "Epoch 300/1000, Cost: 4.0852\n",
+      " and the parameters are [-2.34315955  3.24549395] -4.1511548518772665 ;\n",
+      "Epoch 300/1000, Cost: 4.5438\n",
+      " and the parameters are [-2.34317581  3.24550338] -4.151186669330428 ;\n",
+      "Epoch 300/1000, Cost: 7.3504\n",
+      " and the parameters are [-2.34310535  3.2454478 ] -4.151275834197774 ;\n",
+      "Epoch 300/1000, Cost: 4.5602\n",
+      " and the parameters are [-2.34304982  3.24543684] -4.151371288144366 ;\n",
+      "Epoch 300/1000, Cost: 3.7945\n",
+      " and the parameters are [-2.34310933  3.24545334] -4.151387556966263 ;\n",
+      "Epoch 300/1000, Cost: 2.4649\n",
+      " and the parameters are [-2.34312227  3.24550516] -4.151390994006163 ;\n",
+      "Epoch 300/1000, Cost: 2.4781\n",
+      " and the parameters are [-2.34309907  3.24559153] -4.1513837263866735 ;\n",
+      "Epoch 300/1000, Cost: 2.3812\n",
+      " and the parameters are [-2.34308567  3.24562497] -4.151397256871733 ;\n",
+      "Epoch 300/1000, Cost: 2.5918\n",
+      " and the parameters are [-2.34308117  3.24565453] -4.151418844688779 ;\n",
+      "Epoch 300/1000, Cost: 5.9558\n",
+      " and the parameters are [-2.34310746  3.24555331] -4.151499257018225 ;\n",
+      "Epoch 300/1000, Cost: 3.5844\n",
+      " and the parameters are [-2.34309383  3.24556012] -4.151564583865589 ;\n",
+      "Epoch 300/1000, Cost: 3.6660\n",
+      " and the parameters are [-2.34313759  3.24561255] -4.151543732673388 ;\n",
+      "Epoch 300/1000, Cost: 4.2994\n",
+      " and the parameters are [-2.34313555  3.24558901] -4.151615231786682 ;\n",
+      "Epoch 300/1000, Cost: 4.6147\n",
+      " and the parameters are [-2.34315609  3.24549915] -4.151711511367756 ;\n",
+      "Epoch 300/1000, Cost: 1.7972\n",
+      " and the parameters are [-2.34321685  3.2455222 ] -4.15170411105105 ;\n",
+      "Epoch 300/1000, Cost: 3.1940\n",
+      " and the parameters are [-2.34325497  3.2455262 ] -4.1517395647533855 ;\n",
+      "Epoch 300/1000, Cost: 2.3682\n",
+      " and the parameters are [-2.34332213  3.24552693] -4.151741043184573 ;\n",
+      "Epoch 300/1000, Cost: 4.8465\n",
+      " and the parameters are [-2.34330993  3.24556459] -4.151768614507789 ;\n",
+      "Epoch 300/1000, Cost: 3.4121\n",
+      " and the parameters are [-2.34336602  3.24553508] -4.151797087350379 ;\n",
+      "Epoch 300/1000, Cost: 5.5394\n",
+      " and the parameters are [-2.34335843  3.24557404] -4.151813210240438 ;\n",
+      "Epoch 300/1000, Cost: 6.4497\n",
+      " and the parameters are [-2.34345894  3.24550077] -4.151843657207083 ;\n",
+      "Epoch 300/1000, Cost: 3.9508\n",
+      " and the parameters are [-2.34337948  3.24564887] -4.151835053370367 ;\n",
+      "Epoch 300/1000, Cost: 2.1673\n",
+      " and the parameters are [-2.34340067  3.24572991] -4.151808487698544 ;\n",
+      "Epoch 300/1000, Cost: 3.0324\n",
+      " and the parameters are [-2.34336787  3.24581951] -4.151801316440031 ;\n",
+      "Epoch 300/1000, Cost: 2.1522\n",
+      " and the parameters are [-2.34337016  3.24583924] -4.151820973989216 ;\n",
+      "Epoch 300/1000, Cost: 7.0953\n",
+      " and the parameters are [-2.3434272  3.245648 ] -4.151951481201036 ;\n",
+      "Epoch 300/1000, Cost: 2.3663\n",
+      " and the parameters are [-2.34346442  3.24564401] -4.151985927214676 ;\n",
+      "Epoch 300/1000, Cost: 4.7550\n",
+      " and the parameters are [-2.34346631  3.24558986] -4.152057493878162 ;\n",
+      "Epoch 300/1000, Cost: 5.2362\n",
+      " and the parameters are [-2.34361034  3.2456576 ] -4.151958572581426 ;\n",
+      "Epoch 300/1000, Cost: 3.0452\n",
+      " and the parameters are [-2.34367513  3.24558728] -4.15202640274988 ;\n",
+      "Epoch 300/1000, Cost: 4.1262\n",
+      " and the parameters are [-2.34369035  3.24557343] -4.15207656621399 ;\n",
+      "Epoch 300/1000, Cost: 4.6566\n",
+      " and the parameters are [-2.34372465  3.24559486] -4.152068841673603 ;\n",
+      "Epoch 300/1000, Cost: 3.8913\n",
+      " and the parameters are [-2.34363602  3.245672  ] -4.152117908156663 ;\n",
+      "Epoch 300/1000, Cost: 2.5089\n",
+      " and the parameters are [-2.34362448  3.2457887 ] -4.152078687963705 ;\n",
+      "Epoch 300/1000, Cost: 6.7283\n",
+      " and the parameters are [-2.34362735  3.24561842] -4.152243163914295 ;\n",
+      "Epoch 300/1000, Cost: 6.3592\n",
+      " and the parameters are [-2.34372852  3.24548976] -4.152297343570947 ;\n",
+      "Epoch 300/1000, Cost: 3.0691\n",
+      " and the parameters are [-2.34374099  3.24552612] -4.152315320916791 ;\n",
+      "Epoch 300/1000, Cost: 2.6291\n",
+      " and the parameters are [-2.34375688  3.24555296] -4.15233484636639 ;\n",
+      "Epoch 300/1000, Cost: 6.7805\n",
+      " and the parameters are [-2.34382232  3.2455038 ] -4.152355920981165 ;\n",
+      "Epoch 300/1000, Cost: 2.1646\n",
+      " and the parameters are [-2.34381947  3.24549332] -4.1524124425916265 ;\n",
+      "Epoch 300/1000, Cost: 2.6226\n",
+      " and the parameters are [-2.34381416  3.24554716] -4.1524140295762555 ;\n",
+      "Epoch 300/1000, Cost: 2.6922\n",
+      " and the parameters are [-2.34378595  3.24557386] -4.152461041508263 ;\n",
+      "Epoch 300/1000, Cost: 8.0938\n",
+      " and the parameters are [-2.34382944  3.24538991] -4.152582790565037 ;\n",
+      "Epoch 300/1000, Cost: 5.2669\n",
+      " and the parameters are [-2.34377789  3.24543688] -4.152608407633159 ;\n",
+      "Epoch 300/1000, Cost: 1.4806\n",
+      " and the parameters are [-2.34377703  3.24546366] -4.152632120339593 ;\n",
+      "Epoch 300/1000, Cost: 3.1551\n",
+      " and the parameters are [-2.34379866  3.24542006] -4.1527006362114465 ;\n",
+      "Epoch 300/1000, Cost: 5.9244\n",
+      " and the parameters are [-2.34379361  3.24532654] -4.152799472585294 ;\n",
+      "Epoch 300/1000, Cost: 2.4356\n",
+      " and the parameters are [-2.34381562  3.24531199] -4.152841637509418 ;\n",
+      "Epoch 300/1000, Cost: 4.3871\n",
+      " and the parameters are [-2.34390396  3.24531471] -4.152845756182292 ;\n",
+      "Epoch 300/1000, Cost: 5.7911\n",
+      " and the parameters are [-2.34382857  3.2455306 ] -4.152752576666799 ;\n",
+      "Epoch 300/1000, Cost: 2.8226\n",
+      " and the parameters are [-2.34391458  3.24541285] -4.15282712332659 ;\n",
+      "Epoch 300/1000, Cost: 3.2646\n",
+      " and the parameters are [-2.34395011  3.24539761] -4.152881726096836 ;\n",
+      "Epoch 300/1000, Cost: 3.3186\n",
+      " and the parameters are [-2.34392596  3.24542039] -4.152928794526459 ;\n",
+      "Epoch 300/1000, Cost: 2.7563\n",
+      " and the parameters are [-2.34390931  3.24556398] -4.152865539280975 ;\n",
+      "Epoch 300/1000, Cost: 3.7791\n",
+      " and the parameters are [-2.34390405  3.24569486] -4.152817348503814 ;\n",
+      "Epoch 300/1000, Cost: 2.5242\n",
+      " and the parameters are [-2.34388285  3.24570583] -4.152870955839693 ;\n",
+      "Epoch 300/1000, Cost: 2.1081\n",
+      " and the parameters are [-2.34392463  3.24571744] -4.15288982864679 ;\n",
+      "Epoch 300/1000, Cost: 5.1941\n",
+      " and the parameters are [-2.34395199  3.24564558] -4.152962980460826 ;\n",
+      "Epoch 300/1000, Cost: 3.2449\n",
+      " and the parameters are [-2.34396578  3.24571021] -4.15295042292016 ;\n",
+      "Epoch 300/1000, Cost: 1.8359\n",
+      " and the parameters are [-2.34402822  3.24570562] -4.152961569539865 ;\n",
+      "Epoch 300/1000, Cost: 2.2331\n",
+      " and the parameters are [-2.34403861  3.2457429 ] -4.152971176072057 ;\n",
+      "Epoch 300/1000, Cost: 2.8234\n",
+      " and the parameters are [-2.34408049  3.24571755] -4.153011108468238 ;\n",
+      "Epoch 300/1000, Cost: 3.1991\n",
+      " and the parameters are [-2.34410504  3.24563163] -4.153103125743675 ;\n",
+      "Epoch 300/1000, Cost: 3.8397\n",
+      " and the parameters are [-2.34404986  3.2455742 ] -4.153215679724327 ;\n",
+      "Epoch 300/1000, Cost: 3.7800\n",
+      " and the parameters are [-2.3441022   3.24566559] -4.153153994706109 ;\n",
+      "Epoch 300/1000, Cost: 4.6241\n",
+      " and the parameters are [-2.34407852  3.245659  ] -4.15321296531282 ;\n",
+      "Epoch 300/1000, Cost: 3.1179\n",
+      " and the parameters are [-2.34411863  3.24562615] -4.153272362851886 ;\n",
+      "Epoch 300/1000, Cost: 1.8685\n",
+      " and the parameters are [-2.34411823  3.24571782] -4.153246653050369 ;\n",
+      "Epoch 300/1000, Cost: 5.0428\n",
+      " and the parameters are [-2.34412085  3.24572305] -4.15325864540437 ;\n",
+      "Epoch 300/1000, Cost: 3.3098\n",
+      " and the parameters are [-2.34410472  3.245733  ] -4.153324877265354 ;\n",
+      "Epoch 300/1000, Cost: 4.8162\n",
+      " and the parameters are [-2.34407865  3.24585429] -4.153284606079335 ;\n",
+      "Epoch 300/1000, Cost: 5.4538\n",
+      " and the parameters are [-2.34417332  3.24581519] -4.15331218248134 ;\n",
+      "Epoch 300/1000, Cost: 2.2026\n",
+      " and the parameters are [-2.34421744  3.24580826] -4.153334484090428 ;\n",
+      "Epoch 310/1000, Cost: 3.4580\n",
+      " and the parameters are [-2.36676443  3.2734528 ] -4.193377815618554 ;\n",
+      "Epoch 310/1000, Cost: 2.9971\n",
+      " and the parameters are [-2.36679804  3.27344491] -4.1934088120361555 ;\n",
+      "Epoch 310/1000, Cost: 4.2822\n",
+      " and the parameters are [-2.36688947  3.27337612] -4.193456335003095 ;\n",
+      "Epoch 310/1000, Cost: 4.9576\n",
+      " and the parameters are [-2.36691732  3.27325459] -4.193552974619001 ;\n",
+      "Epoch 310/1000, Cost: 3.2163\n",
+      " and the parameters are [-2.36692833  3.2733081 ] -4.193563123911402 ;\n",
+      "Epoch 310/1000, Cost: 3.0361\n",
+      " and the parameters are [-2.36696885  3.27324859] -4.193630598508032 ;\n",
+      "Epoch 310/1000, Cost: 4.1872\n",
+      " and the parameters are [-2.36697412  3.27345168] -4.193519714574503 ;\n",
+      "Epoch 310/1000, Cost: 4.7367\n",
+      " and the parameters are [-2.36703791  3.27349204] -4.193493083230499 ;\n",
+      "Epoch 310/1000, Cost: 6.1215\n",
+      " and the parameters are [-2.36699374  3.2733658 ] -4.193636258461207 ;\n",
+      "Epoch 310/1000, Cost: 3.0742\n",
+      " and the parameters are [-2.36699315  3.27349051] -4.193588989506618 ;\n",
+      "Epoch 310/1000, Cost: 3.2558\n",
+      " and the parameters are [-2.36705586  3.27347524] -4.193625328703802 ;\n",
+      "Epoch 310/1000, Cost: 3.6372\n",
+      " and the parameters are [-2.36707629  3.27357098] -4.19359532135706 ;\n",
+      "Epoch 310/1000, Cost: 7.4430\n",
+      " and the parameters are [-2.36699574  3.27361988] -4.19359918170414 ;\n",
+      "Epoch 310/1000, Cost: 2.7822\n",
+      " and the parameters are [-2.36704559  3.27361492] -4.193624158293016 ;\n",
+      "Epoch 310/1000, Cost: 4.3927\n",
+      " and the parameters are [-2.36716559  3.27373549] -4.193488328468918 ;\n",
+      "Epoch 310/1000, Cost: 2.8582\n",
+      " and the parameters are [-2.36716905  3.27378988] -4.193487743272496 ;\n",
+      "Epoch 310/1000, Cost: 4.7054\n",
+      " and the parameters are [-2.36711026  3.27378791] -4.193538732952408 ;\n",
+      "Epoch 310/1000, Cost: 1.7865\n",
+      " and the parameters are [-2.36711817  3.27381321] -4.193555917637998 ;\n",
+      "Epoch 310/1000, Cost: 2.0196\n",
+      " and the parameters are [-2.36711415  3.27389496] -4.193535460023864 ;\n",
+      "Epoch 310/1000, Cost: 2.2949\n",
+      " and the parameters are [-2.36712884  3.2740039 ] -4.193490067345163 ;\n",
+      "Epoch 310/1000, Cost: 4.2507\n",
+      " and the parameters are [-2.36718709  3.2740127 ] -4.193491280274865 ;\n",
+      "Epoch 310/1000, Cost: 5.0629\n",
+      " and the parameters are [-2.36721902  3.27397944] -4.193535523390579 ;\n",
+      "Epoch 310/1000, Cost: 2.3531\n",
+      " and the parameters are [-2.36720813  3.27400127] -4.193567553981228 ;\n",
+      "Epoch 310/1000, Cost: 1.9677\n",
+      " and the parameters are [-2.36722062  3.2740059 ] -4.193608390690857 ;\n",
+      "Epoch 310/1000, Cost: 4.8625\n",
+      " and the parameters are [-2.36723523  3.27400599] -4.193635573556085 ;\n",
+      "Epoch 310/1000, Cost: 5.0711\n",
+      " and the parameters are [-2.36726045  3.27408311] -4.1935765191937735 ;\n",
+      "Epoch 310/1000, Cost: 4.3913\n",
+      " and the parameters are [-2.36725469  3.27417045] -4.193576542993956 ;\n",
+      "Epoch 310/1000, Cost: 6.4245\n",
+      " and the parameters are [-2.36734367  3.27403536] -4.193642427462829 ;\n",
+      "Epoch 310/1000, Cost: 3.4081\n",
+      " and the parameters are [-2.36740201  3.27401582] -4.193675734795156 ;\n",
+      "Epoch 310/1000, Cost: 3.5471\n",
+      " and the parameters are [-2.36736857  3.27408443] -4.193680603515371 ;\n",
+      "Epoch 310/1000, Cost: 7.4379\n",
+      " and the parameters are [-2.36748266  3.27386096] -4.193817389676331 ;\n",
+      "Epoch 310/1000, Cost: 4.4656\n",
+      " and the parameters are [-2.36743074  3.27384359] -4.19389212963706 ;\n",
+      "Epoch 310/1000, Cost: 2.8623\n",
+      " and the parameters are [-2.36746449  3.27376089] -4.193981087503702 ;\n",
+      "Epoch 310/1000, Cost: 4.4562\n",
+      " and the parameters are [-2.3674821   3.27377388] -4.194012335073183 ;\n",
+      "Epoch 310/1000, Cost: 2.5445\n",
+      " and the parameters are [-2.36747092  3.27384385] -4.19402289912973 ;\n",
+      "Epoch 310/1000, Cost: 4.0197\n",
+      " and the parameters are [-2.3674462   3.27377654] -4.194139325471897 ;\n",
+      "Epoch 310/1000, Cost: 4.6505\n",
+      " and the parameters are [-2.36737078  3.27380875] -4.194185867008816 ;\n",
+      "Epoch 310/1000, Cost: 6.6199\n",
+      " and the parameters are [-2.36741029  3.27379077] -4.19422289833875 ;\n",
+      "Epoch 310/1000, Cost: 1.4689\n",
+      " and the parameters are [-2.36740977  3.27381729] -4.194245280301613 ;\n",
+      "Epoch 310/1000, Cost: 3.6403\n",
+      " and the parameters are [-2.36740361  3.27389657] -4.194234578712615 ;\n",
+      "Epoch 310/1000, Cost: 3.0519\n",
+      " and the parameters are [-2.36743166  3.27389657] -4.194269239579422 ;\n",
+      "Epoch 310/1000, Cost: 5.2124\n",
+      " and the parameters are [-2.36755754  3.27378859] -4.194295867774632 ;\n",
+      "Epoch 310/1000, Cost: 2.9583\n",
+      " and the parameters are [-2.36751672  3.2738414 ] -4.194334469685587 ;\n",
+      "Epoch 310/1000, Cost: 3.2088\n",
+      " and the parameters are [-2.36750435  3.27395649] -4.1943021011829025 ;\n",
+      "Epoch 310/1000, Cost: 6.6916\n",
+      " and the parameters are [-2.36743774  3.2739981 ] -4.194295786987274 ;\n",
+      "Epoch 310/1000, Cost: 4.3178\n",
+      " and the parameters are [-2.3674849   3.27388651] -4.194419227714084 ;\n",
+      "Epoch 310/1000, Cost: 2.0306\n",
+      " and the parameters are [-2.36749133  3.27388646] -4.194456049045101 ;\n",
+      "Epoch 310/1000, Cost: 3.9863\n",
+      " and the parameters are [-2.3674831   3.27392984] -4.19447406934066 ;\n",
+      "Epoch 310/1000, Cost: 2.4613\n",
+      " and the parameters are [-2.36746651  3.27400979] -4.194461616864475 ;\n",
+      "Epoch 310/1000, Cost: 4.1148\n",
+      " and the parameters are [-2.36747688  3.27416062] -4.1944005595276685 ;\n",
+      "Epoch 310/1000, Cost: 4.8768\n",
+      " and the parameters are [-2.36746835  3.2743206 ] -4.194325515698295 ;\n",
+      "Epoch 310/1000, Cost: 2.6423\n",
+      " and the parameters are [-2.3674885   3.27434933] -4.194356168927346 ;\n",
+      "Epoch 310/1000, Cost: 3.3951\n",
+      " and the parameters are [-2.3675291   3.27433844] -4.194384080276152 ;\n",
+      "Epoch 310/1000, Cost: 4.4313\n",
+      " and the parameters are [-2.36759997  3.2742167 ] -4.194478864423984 ;\n",
+      "Epoch 310/1000, Cost: 4.0641\n",
+      " and the parameters are [-2.36753625  3.27435933] -4.194467975105282 ;\n",
+      "Epoch 310/1000, Cost: 3.8982\n",
+      " and the parameters are [-2.36757907  3.27441311] -4.194465751046162 ;\n",
+      "Epoch 310/1000, Cost: 4.3589\n",
+      " and the parameters are [-2.36749854  3.27457596] -4.194415567474231 ;\n",
+      "Epoch 310/1000, Cost: 1.9003\n",
+      " and the parameters are [-2.36751302  3.27468264] -4.194372269427847 ;\n",
+      "Epoch 310/1000, Cost: 4.5785\n",
+      " and the parameters are [-2.36750457  3.27471735] -4.19438888765539 ;\n",
+      "Epoch 310/1000, Cost: 5.0962\n",
+      " and the parameters are [-2.36752404  3.27478168] -4.1943758314770045 ;\n",
+      "Epoch 310/1000, Cost: 4.1114\n",
+      " and the parameters are [-2.3675805   3.27479286] -4.1943916596143715 ;\n",
+      "Epoch 310/1000, Cost: 3.2813\n",
+      " and the parameters are [-2.36762753  3.27472624] -4.19445986144674 ;\n",
+      "Epoch 310/1000, Cost: 3.1016\n",
+      " and the parameters are [-2.36763619  3.27479262] -4.194470294752326 ;\n",
+      "Epoch 310/1000, Cost: 2.0599\n",
+      " and the parameters are [-2.36764541  3.27476149] -4.194535901624091 ;\n",
+      "Epoch 310/1000, Cost: 2.0937\n",
+      " and the parameters are [-2.36765706  3.27474069] -4.194579987764568 ;\n",
+      "Epoch 310/1000, Cost: 4.5772\n",
+      " and the parameters are [-2.36771378  3.27468492] -4.194642403685225 ;\n",
+      "Epoch 310/1000, Cost: 3.7947\n",
+      " and the parameters are [-2.36776451  3.27458259] -4.194716993924248 ;\n",
+      "Epoch 310/1000, Cost: 3.6729\n",
+      " and the parameters are [-2.36774725  3.27462357] -4.194751764555545 ;\n",
+      "Epoch 310/1000, Cost: 5.3044\n",
+      " and the parameters are [-2.36777034  3.27458149] -4.194798674894041 ;\n",
+      "Epoch 310/1000, Cost: 3.9100\n",
+      " and the parameters are [-2.36784738  3.27456402] -4.194813927354317 ;\n",
+      "Epoch 310/1000, Cost: 4.7178\n",
+      " and the parameters are [-2.36787364  3.27454455] -4.194850452497074 ;\n",
+      "Epoch 310/1000, Cost: 7.1374\n",
+      " and the parameters are [-2.36785846  3.27438751] -4.194990178607185 ;\n",
+      "Epoch 310/1000, Cost: 3.2244\n",
+      " and the parameters are [-2.36784255  3.27447268] -4.194978282230963 ;\n",
+      "Epoch 310/1000, Cost: 3.0393\n",
+      " and the parameters are [-2.36784449  3.27443668] -4.195050960377211 ;\n",
+      "Epoch 310/1000, Cost: 4.4031\n",
+      " and the parameters are [-2.36782569  3.27439563] -4.195106389639123 ;\n",
+      "Epoch 310/1000, Cost: 4.4206\n",
+      " and the parameters are [-2.36778171  3.27429833] -4.195241687534345 ;\n",
+      "Epoch 310/1000, Cost: 3.8883\n",
+      " and the parameters are [-2.36784024  3.27425496] -4.195286515892355 ;\n",
+      "Epoch 310/1000, Cost: 3.5893\n",
+      " and the parameters are [-2.36784401  3.27425197] -4.1953371472776375 ;\n",
+      "Epoch 310/1000, Cost: 1.2495\n",
+      " and the parameters are [-2.36781764  3.27429229] -4.195362170967288 ;\n",
+      "Epoch 310/1000, Cost: 2.2758\n",
+      " and the parameters are [-2.36781803  3.27432483] -4.195387842500099 ;\n",
+      "Epoch 310/1000, Cost: 2.6843\n",
+      " and the parameters are [-2.36790113  3.27422529] -4.195456109368193 ;\n",
+      "Epoch 310/1000, Cost: 4.0081\n",
+      " and the parameters are [-2.36788634  3.27425816] -4.195477101180533 ;\n",
+      "Epoch 310/1000, Cost: 6.6242\n",
+      " and the parameters are [-2.36787597  3.2743064 ] -4.195497498489811 ;\n",
+      "Epoch 310/1000, Cost: 6.5065\n",
+      " and the parameters are [-2.36781956  3.27441974] -4.195433157214887 ;\n",
+      "Epoch 310/1000, Cost: 2.6402\n",
+      " and the parameters are [-2.36778116  3.27443156] -4.19549322430842 ;\n",
+      "Epoch 310/1000, Cost: 1.3221\n",
+      " and the parameters are [-2.36776446  3.27449419] -4.195489671613011 ;\n",
+      "Epoch 310/1000, Cost: 4.2524\n",
+      " and the parameters are [-2.36768686  3.27461087] -4.195479587906932 ;\n",
+      "Epoch 310/1000, Cost: 1.4955\n",
+      " and the parameters are [-2.36772303  3.27468686] -4.195437980822406 ;\n",
+      "Epoch 310/1000, Cost: 3.6302\n",
+      " and the parameters are [-2.36769341  3.27467437] -4.19551650202298 ;\n",
+      "Epoch 310/1000, Cost: 3.8946\n",
+      " and the parameters are [-2.36768415  3.27461072] -4.195594166299944 ;\n",
+      "Epoch 310/1000, Cost: 2.2887\n",
+      " and the parameters are [-2.3676367  3.2746545] -4.195629688912217 ;\n",
+      "Epoch 310/1000, Cost: 3.1152\n",
+      " and the parameters are [-2.36767045  3.27471379] -4.195619767789882 ;\n",
+      "Epoch 310/1000, Cost: 5.3512\n",
+      " and the parameters are [-2.36768687  3.27465491] -4.195688613807671 ;\n",
+      "Epoch 310/1000, Cost: 2.9034\n",
+      " and the parameters are [-2.36773384  3.27470924] -4.195654115753317 ;\n",
+      "Epoch 310/1000, Cost: 2.2121\n",
+      " and the parameters are [-2.36777811  3.27468172] -4.195697159057815 ;\n",
+      "Epoch 310/1000, Cost: 2.8463\n",
+      " and the parameters are [-2.36777219  3.27463785] -4.1957655928778514 ;\n",
+      "Epoch 310/1000, Cost: 1.6212\n",
+      " and the parameters are [-2.36779612  3.27461899] -4.195804236772926 ;\n",
+      "Epoch 310/1000, Cost: 4.0213\n",
+      " and the parameters are [-2.36787791  3.27449741] -4.195884532950739 ;\n",
+      "Epoch 310/1000, Cost: 1.8108\n",
+      " and the parameters are [-2.36781943  3.2745234 ] -4.1959437798553 ;\n",
+      "Epoch 310/1000, Cost: 3.3905\n",
+      " and the parameters are [-2.36782128  3.27458454] -4.195960600564637 ;\n",
+      "Epoch 310/1000, Cost: 5.1286\n",
+      " and the parameters are [-2.36781131  3.27472333] -4.195892195850184 ;\n",
+      "Epoch 310/1000, Cost: 4.4741\n",
+      " and the parameters are [-2.3678204   3.27483758] -4.195842397430936 ;\n",
+      "Epoch 310/1000, Cost: 3.0005\n",
+      " and the parameters are [-2.36791332  3.27483437] -4.195836958256343 ;\n",
+      "Epoch 310/1000, Cost: 3.7310\n",
+      " and the parameters are [-2.36794446  3.27488961] -4.1958139918294055 ;\n",
+      "Epoch 310/1000, Cost: 2.1917\n",
+      " and the parameters are [-2.36790705  3.27494174] -4.195842829957957 ;\n",
+      "Epoch 310/1000, Cost: 3.5842\n",
+      " and the parameters are [-2.3678538   3.27501119] -4.195871444322205 ;\n",
+      "Epoch 310/1000, Cost: 1.8536\n",
+      " and the parameters are [-2.3678611   3.27503641] -4.195896606954543 ;\n",
+      "Epoch 310/1000, Cost: 4.9616\n",
+      " and the parameters are [-2.36792764  3.27500959] -4.195902717004423 ;\n",
+      "Epoch 310/1000, Cost: 7.6163\n",
+      " and the parameters are [-2.36801353  3.2748576 ] -4.195970861822906 ;\n",
+      "Epoch 310/1000, Cost: 2.9930\n",
+      " and the parameters are [-2.36803934  3.27495079] -4.195936767541981 ;\n",
+      "Epoch 310/1000, Cost: 5.7906\n",
+      " and the parameters are [-2.36806131  3.27479091] -4.196062825524421 ;\n",
+      "Epoch 310/1000, Cost: 2.8498\n",
+      " and the parameters are [-2.36809331  3.27483391] -4.196050319106618 ;\n",
+      "Epoch 310/1000, Cost: 3.1426\n",
+      " and the parameters are [-2.36810969  3.27488062] -4.196053622335192 ;\n",
+      "Epoch 310/1000, Cost: 4.7872\n",
+      " and the parameters are [-2.36806138  3.27498191] -4.1960060925975915 ;\n",
+      "Epoch 310/1000, Cost: 3.1127\n",
+      " and the parameters are [-2.36810261  3.2749196 ] -4.196072926333536 ;\n",
+      "Epoch 310/1000, Cost: 1.7783\n",
+      " and the parameters are [-2.36815676  3.27495993] -4.196053137455188 ;\n",
+      "Epoch 310/1000, Cost: 3.8211\n",
+      " and the parameters are [-2.36819079  3.27499242] -4.196043582204731 ;\n",
+      "Epoch 310/1000, Cost: 1.3807\n",
+      " and the parameters are [-2.36820019  3.27500202] -4.196072154773121 ;\n",
+      "Epoch 310/1000, Cost: 2.6285\n",
+      " and the parameters are [-2.3682228   3.27496283] -4.196132614397451 ;\n",
+      "Epoch 310/1000, Cost: 4.7258\n",
+      " and the parameters are [-2.3682846   3.27493617] -4.1961463884756 ;\n",
+      "Epoch 310/1000, Cost: 1.6088\n",
+      " and the parameters are [-2.3682855   3.27494401] -4.196181724061117 ;\n",
+      "Epoch 310/1000, Cost: 2.6602\n",
+      " and the parameters are [-2.36830346  3.27490532] -4.1962467952931926 ;\n",
+      "Epoch 310/1000, Cost: 3.7957\n",
+      " and the parameters are [-2.36823477  3.27506303] -4.196201288473599 ;\n",
+      "Epoch 310/1000, Cost: 3.8132\n",
+      " and the parameters are [-2.36816712  3.2751798 ] -4.19619792619999 ;\n",
+      "Epoch 310/1000, Cost: 2.7571\n",
+      " and the parameters are [-2.36821616  3.27520051] -4.1962014228239815 ;\n",
+      "Epoch 310/1000, Cost: 3.5729\n",
+      " and the parameters are [-2.36818727  3.27519025] -4.1962753867117195 ;\n",
+      "Epoch 310/1000, Cost: 4.1252\n",
+      " and the parameters are [-2.36820315  3.27526716] -4.196254701533251 ;\n",
+      "Epoch 310/1000, Cost: 2.5417\n",
+      " and the parameters are [-2.3682303   3.27535673] -4.196224338572845 ;\n",
+      "Epoch 310/1000, Cost: 8.0054\n",
+      " and the parameters are [-2.36825737  3.27534502] -4.1962193233450655 ;\n",
+      "Epoch 310/1000, Cost: 1.8350\n",
+      " and the parameters are [-2.36822724  3.27538292] -4.196253160518268 ;\n",
+      "Epoch 310/1000, Cost: 1.8060\n",
+      " and the parameters are [-2.36828389  3.2753987 ] -4.196252387782088 ;\n",
+      "Epoch 310/1000, Cost: 5.5566\n",
+      " and the parameters are [-2.36829996  3.27551158] -4.196170847031786 ;\n",
+      "Epoch 310/1000, Cost: 2.8262\n",
+      " and the parameters are [-2.3682236   3.27562444] -4.196159449276623 ;\n",
+      "Epoch 310/1000, Cost: 3.4340\n",
+      " and the parameters are [-2.36824302  3.27567609] -4.196146771553533 ;\n",
+      "Epoch 310/1000, Cost: 2.0401\n",
+      " and the parameters are [-2.36822361  3.27570378] -4.196180486726382 ;\n",
+      "Epoch 310/1000, Cost: 3.6800\n",
+      " and the parameters are [-2.36820362  3.27565861] -4.196273757646858 ;\n",
+      "Epoch 310/1000, Cost: 2.2794\n",
+      " and the parameters are [-2.36816674  3.27567643] -4.196326245953195 ;\n",
+      "Epoch 310/1000, Cost: 4.5403\n",
+      " and the parameters are [-2.36828609  3.27566522] -4.1963153424699104 ;\n",
+      "Epoch 310/1000, Cost: 2.6250\n",
+      " and the parameters are [-2.36829348  3.27574452] -4.196302682653122 ;\n",
+      "Epoch 310/1000, Cost: 4.9243\n",
+      " and the parameters are [-2.36831749  3.27569275] -4.196375481391365 ;\n",
+      "Epoch 310/1000, Cost: 5.0994\n",
+      " and the parameters are [-2.36821822  3.27569758] -4.196444914751143 ;\n",
+      "Epoch 310/1000, Cost: 3.0642\n",
+      " and the parameters are [-2.36815949  3.27578231] -4.196449850692253 ;\n",
+      "Epoch 310/1000, Cost: 6.1087\n",
+      " and the parameters are [-2.36813776  3.27574869] -4.196493619516803 ;\n",
+      "Epoch 310/1000, Cost: 1.4678\n",
+      " and the parameters are [-2.36815345  3.27582021] -4.196463637870575 ;\n",
+      "Epoch 310/1000, Cost: 4.3493\n",
+      " and the parameters are [-2.36819695  3.27584279] -4.196480232265697 ;\n",
+      "Epoch 310/1000, Cost: 7.7412\n",
+      " and the parameters are [-2.36832329  3.27571684] -4.196537301232644 ;\n",
+      "Epoch 310/1000, Cost: 2.0674\n",
+      " and the parameters are [-2.36832664  3.27574905] -4.196547838870609 ;\n",
+      "Epoch 310/1000, Cost: 6.2257\n",
+      " and the parameters are [-2.36841225  3.27565413] -4.196609401999154 ;\n",
+      "Epoch 310/1000, Cost: 5.3287\n",
+      " and the parameters are [-2.36849198  3.27555442] -4.1966812474949915 ;\n",
+      "Epoch 310/1000, Cost: 2.8276\n",
+      " and the parameters are [-2.36853013  3.27562956] -4.196651569678967 ;\n",
+      "Epoch 310/1000, Cost: 2.9628\n",
+      " and the parameters are [-2.36854971  3.27567872] -4.19664089705592 ;\n",
+      "Epoch 310/1000, Cost: 3.3908\n",
+      " and the parameters are [-2.36857276  3.27562112] -4.196708815707879 ;\n",
+      "Epoch 310/1000, Cost: 2.7554\n",
+      " and the parameters are [-2.36856797  3.27564681] -4.196738653298842 ;\n",
+      "Epoch 310/1000, Cost: 1.8598\n",
+      " and the parameters are [-2.36856045  3.27572764] -4.196727303095996 ;\n",
+      "Epoch 310/1000, Cost: 2.2655\n",
+      " and the parameters are [-2.36854179  3.27582787] -4.196699927453562 ;\n",
+      "Epoch 310/1000, Cost: 3.2206\n",
+      " and the parameters are [-2.36848709  3.27587427] -4.1967427656355785 ;\n",
+      "Epoch 310/1000, Cost: 3.6899\n",
+      " and the parameters are [-2.36849109  3.27583422] -4.1968236452557655 ;\n",
+      "Epoch 310/1000, Cost: 3.6717\n",
+      " and the parameters are [-2.36856518  3.27581789] -4.196855004855907 ;\n",
+      "Epoch 310/1000, Cost: 3.6811\n",
+      " and the parameters are [-2.36861044  3.2758099 ] -4.196880724564868 ;\n",
+      "Epoch 310/1000, Cost: 4.4301\n",
+      " and the parameters are [-2.36855816  3.27579274] -4.1969526661812235 ;\n",
+      "Epoch 310/1000, Cost: 3.9798\n",
+      " and the parameters are [-2.36855894  3.27572845] -4.197045233910257 ;\n",
+      "Epoch 310/1000, Cost: 5.0405\n",
+      " and the parameters are [-2.36856162  3.27583451] -4.1969967175023735 ;\n",
+      "Epoch 310/1000, Cost: 3.0983\n",
+      " and the parameters are [-2.36855066  3.27588492] -4.197012730715154 ;\n",
+      "Epoch 310/1000, Cost: 4.1603\n",
+      " and the parameters are [-2.36846317  3.27598547] -4.197030326981343 ;\n",
+      "Epoch 310/1000, Cost: 6.0826\n",
+      " and the parameters are [-2.368413    3.27614954] -4.19695734086099 ;\n",
+      "Epoch 310/1000, Cost: 3.0412\n",
+      " and the parameters are [-2.36841574  3.27626866] -4.196916120605783 ;\n",
+      "Epoch 310/1000, Cost: 3.2251\n",
+      " and the parameters are [-2.36849548  3.27616393] -4.1969914037287 ;\n",
+      "Epoch 310/1000, Cost: 5.3403\n",
+      " and the parameters are [-2.36853217  3.27618425] -4.197006301421962 ;\n",
+      "Epoch 310/1000, Cost: 5.0116\n",
+      " and the parameters are [-2.36852938  3.27617575] -4.197057699282188 ;\n",
+      "Epoch 310/1000, Cost: 3.2366\n",
+      " and the parameters are [-2.36859926  3.27614176] -4.197087920985417 ;\n",
+      "Epoch 310/1000, Cost: 2.6324\n",
+      " and the parameters are [-2.36866228  3.27612526] -4.19711552032946 ;\n",
+      "Epoch 310/1000, Cost: 4.9201\n",
+      " and the parameters are [-2.36865205  3.27602441] -4.197240519017909 ;\n",
+      "Epoch 310/1000, Cost: 5.2619\n",
+      " and the parameters are [-2.36867631  3.2760174 ] -4.197270632186841 ;\n",
+      "Epoch 310/1000, Cost: 4.8711\n",
+      " and the parameters are [-2.3687159   3.27606153] -4.197266221518604 ;\n",
+      "Epoch 310/1000, Cost: 1.7269\n",
+      " and the parameters are [-2.36875374  3.27606012] -4.197291622270058 ;\n",
+      "Epoch 310/1000, Cost: 3.1066\n",
+      " and the parameters are [-2.36877843  3.27599827] -4.1973590940873695 ;\n",
+      "Epoch 310/1000, Cost: 3.3011\n",
+      " and the parameters are [-2.36882891  3.2759542 ] -4.197409738934782 ;\n",
+      "Epoch 310/1000, Cost: 3.4715\n",
+      " and the parameters are [-2.3688207   3.27601358] -4.197416846260369 ;\n",
+      "Epoch 310/1000, Cost: 2.0224\n",
+      " and the parameters are [-2.36884535  3.27599414] -4.19745862476015 ;\n",
+      "Epoch 310/1000, Cost: 3.4142\n",
+      " and the parameters are [-2.36884436  3.2760057 ] -4.1974964281125295 ;\n",
+      "Epoch 310/1000, Cost: 2.3370\n",
+      " and the parameters are [-2.3688474   3.27603437] -4.197519788935037 ;\n",
+      "Epoch 310/1000, Cost: 3.6605\n",
+      " and the parameters are [-2.36890253  3.27610651] -4.197471192621067 ;\n",
+      "Epoch 310/1000, Cost: 4.0029\n",
+      " and the parameters are [-2.36904557  3.27615494] -4.197404202361729 ;\n",
+      "Epoch 310/1000, Cost: 5.0216\n",
+      " and the parameters are [-2.3689872   3.27617491] -4.19745631303299 ;\n",
+      "Epoch 310/1000, Cost: 4.3289\n",
+      " and the parameters are [-2.36900417  3.27620469] -4.1974640556878 ;\n",
+      "Epoch 310/1000, Cost: 7.2639\n",
+      " and the parameters are [-2.36913809  3.27589389] -4.1976409251447935 ;\n",
+      "Epoch 310/1000, Cost: 2.6636\n",
+      " and the parameters are [-2.36909792  3.27592027] -4.197688629771325 ;\n",
+      "Epoch 310/1000, Cost: 7.3322\n",
+      " and the parameters are [-2.36900446  3.27596231] -4.197725873974093 ;\n",
+      "Epoch 310/1000, Cost: 5.4004\n",
+      " and the parameters are [-2.36903909  3.27608886] -4.197679645108802 ;\n",
+      "Epoch 310/1000, Cost: 3.6762\n",
+      " and the parameters are [-2.36905181  3.27606114] -4.197743283692027 ;\n",
+      "Epoch 310/1000, Cost: 2.2746\n",
+      " and the parameters are [-2.36906651  3.2761145 ] -4.197738302652594 ;\n",
+      "Epoch 310/1000, Cost: 2.5818\n",
+      " and the parameters are [-2.36907789  3.27616952] -4.197728040964206 ;\n",
+      "Epoch 310/1000, Cost: 3.9461\n",
+      " and the parameters are [-2.36900762  3.27629643] -4.197699667668103 ;\n",
+      "Epoch 310/1000, Cost: 1.7692\n",
+      " and the parameters are [-2.36901448  3.27633172] -4.197713785621582 ;\n",
+      "Epoch 310/1000, Cost: 3.5064\n",
+      " and the parameters are [-2.36908563  3.27635229] -4.197686958044928 ;\n",
+      "Epoch 310/1000, Cost: 4.3476\n",
+      " and the parameters are [-2.3690777   3.27636459] -4.197717179983332 ;\n",
+      "Epoch 310/1000, Cost: 2.2555\n",
+      " and the parameters are [-2.36907535  3.27641194] -4.197734437002565 ;\n",
+      "Epoch 310/1000, Cost: 3.6612\n",
+      " and the parameters are [-2.36912383  3.27636623] -4.197793676413748 ;\n",
+      "Epoch 310/1000, Cost: 6.0451\n",
+      " and the parameters are [-2.36914211  3.27631759] -4.197847742384658 ;\n",
+      "Epoch 310/1000, Cost: 2.9740\n",
+      " and the parameters are [-2.36921824  3.27632624] -4.197840768358093 ;\n",
+      "Epoch 320/1000, Cost: 4.7267\n",
+      " and the parameters are [-2.39107376  3.30320107] -4.236755319958872 ;\n",
+      "Epoch 320/1000, Cost: 4.1707\n",
+      " and the parameters are [-2.39110496  3.30305416] -4.236892842063781 ;\n",
+      "Epoch 320/1000, Cost: 5.1233\n",
+      " and the parameters are [-2.3910661   3.30306992] -4.23695626692251 ;\n",
+      "Epoch 320/1000, Cost: 5.8144\n",
+      " and the parameters are [-2.39084306  3.30314577] -4.237032963880231 ;\n",
+      "Epoch 320/1000, Cost: 4.1100\n",
+      " and the parameters are [-2.39085116  3.3032762 ] -4.236961437909459 ;\n",
+      "Epoch 320/1000, Cost: 2.7430\n",
+      " and the parameters are [-2.39085428  3.3032982 ] -4.236998950190541 ;\n",
+      "Epoch 320/1000, Cost: 2.1438\n",
+      " and the parameters are [-2.39089605  3.3033272 ] -4.236988484860337 ;\n",
+      "Epoch 320/1000, Cost: 4.6427\n",
+      " and the parameters are [-2.39086722  3.30338327] -4.237005580836277 ;\n",
+      "Epoch 320/1000, Cost: 2.0829\n",
+      " and the parameters are [-2.39086991  3.30344123] -4.23700256016366 ;\n",
+      "Epoch 320/1000, Cost: 4.2552\n",
+      " and the parameters are [-2.3910009   3.30325878] -4.237105028638604 ;\n",
+      "Epoch 320/1000, Cost: 5.6664\n",
+      " and the parameters are [-2.39098456  3.30317071] -4.23718992134568 ;\n",
+      "Epoch 320/1000, Cost: 5.5808\n",
+      " and the parameters are [-2.39104147  3.30305094] -4.237266876754602 ;\n",
+      "Epoch 320/1000, Cost: 6.2747\n",
+      " and the parameters are [-2.39105091  3.30290909] -4.2373891547105025 ;\n",
+      "Epoch 320/1000, Cost: 1.9824\n",
+      " and the parameters are [-2.39103559  3.30296766] -4.237402965064991 ;\n",
+      "Epoch 320/1000, Cost: 2.6939\n",
+      " and the parameters are [-2.39113892  3.30295775] -4.23740285757448 ;\n",
+      "Epoch 320/1000, Cost: 2.3381\n",
+      " and the parameters are [-2.39109007  3.30302012] -4.237431671798507 ;\n",
+      "Epoch 320/1000, Cost: 2.4100\n",
+      " and the parameters are [-2.39110554  3.30306358] -4.237434507029621 ;\n",
+      "Epoch 320/1000, Cost: 3.3904\n",
+      " and the parameters are [-2.39108058  3.30306863] -4.237494210477518 ;\n",
+      "Epoch 320/1000, Cost: 2.9908\n",
+      " and the parameters are [-2.39106802  3.30311131] -4.2375010164975775 ;\n",
+      "Epoch 320/1000, Cost: 3.8765\n",
+      " and the parameters are [-2.39106179  3.30321603] -4.237471575158086 ;\n",
+      "Epoch 320/1000, Cost: 3.6861\n",
+      " and the parameters are [-2.39105523  3.30324185] -4.237502610838318 ;\n",
+      "Epoch 320/1000, Cost: 2.2518\n",
+      " and the parameters are [-2.39109202  3.30323701] -4.237536163897561 ;\n",
+      "Epoch 320/1000, Cost: 3.8566\n",
+      " and the parameters are [-2.39109579  3.30328919] -4.2375463147370365 ;\n",
+      "Epoch 320/1000, Cost: 2.6752\n",
+      " and the parameters are [-2.39109136  3.30335411] -4.237542712170954 ;\n",
+      "Epoch 320/1000, Cost: 5.8854\n",
+      " and the parameters are [-2.39113943  3.30337266] -4.237511971093828 ;\n",
+      "Epoch 320/1000, Cost: 6.8076\n",
+      " and the parameters are [-2.39112927  3.3034654 ] -4.237469239674565 ;\n",
+      "Epoch 320/1000, Cost: 2.7210\n",
+      " and the parameters are [-2.39112635  3.30343192] -4.23753100825356 ;\n",
+      "Epoch 320/1000, Cost: 4.9027\n",
+      " and the parameters are [-2.39110005  3.30344999] -4.237567119155555 ;\n",
+      "Epoch 320/1000, Cost: 3.8615\n",
+      " and the parameters are [-2.39117752  3.30341753] -4.237576972336399 ;\n",
+      "Epoch 320/1000, Cost: 4.3924\n",
+      " and the parameters are [-2.39115313  3.30339817] -4.237635525367897 ;\n",
+      "Epoch 320/1000, Cost: 6.1516\n",
+      " and the parameters are [-2.39130131  3.30327732] -4.237672666913026 ;\n",
+      "Epoch 320/1000, Cost: 3.6855\n",
+      " and the parameters are [-2.391251    3.30335791] -4.237670542038053 ;\n",
+      "Epoch 320/1000, Cost: 3.7184\n",
+      " and the parameters are [-2.39134519  3.3032429 ] -4.237722323228243 ;\n",
+      "Epoch 320/1000, Cost: 3.7592\n",
+      " and the parameters are [-2.39132332  3.30332222] -4.2377137672521785 ;\n",
+      "Epoch 320/1000, Cost: 2.5853\n",
+      " and the parameters are [-2.39134548  3.30342351] -4.237680207403128 ;\n",
+      "Epoch 320/1000, Cost: 6.4625\n",
+      " and the parameters are [-2.3914155   3.30335057] -4.2377267262497025 ;\n",
+      "Epoch 320/1000, Cost: 2.9855\n",
+      " and the parameters are [-2.39142541  3.3033856 ] -4.2377408048349094 ;\n",
+      "Epoch 320/1000, Cost: 4.2030\n",
+      " and the parameters are [-2.39148567  3.30346768] -4.237673633393902 ;\n",
+      "Epoch 320/1000, Cost: 2.5435\n",
+      " and the parameters are [-2.39150777  3.30346006] -4.237721856630733 ;\n",
+      "Epoch 320/1000, Cost: 3.5401\n",
+      " and the parameters are [-2.39155239  3.30347454] -4.237742145908021 ;\n",
+      "Epoch 320/1000, Cost: 3.6837\n",
+      " and the parameters are [-2.39159524  3.30341754] -4.23780978555558 ;\n",
+      "Epoch 320/1000, Cost: 5.1393\n",
+      " and the parameters are [-2.39167659  3.30332312] -4.237877522853244 ;\n",
+      "Epoch 320/1000, Cost: 3.7892\n",
+      " and the parameters are [-2.3917099  3.303331 ] -4.237906091405137 ;\n",
+      "Epoch 320/1000, Cost: 5.4274\n",
+      " and the parameters are [-2.39168171  3.30324188] -4.238029900949006 ;\n",
+      "Epoch 320/1000, Cost: 4.5516\n",
+      " and the parameters are [-2.39169341  3.30335907] -4.237999494847192 ;\n",
+      "Epoch 320/1000, Cost: 4.8041\n",
+      " and the parameters are [-2.3916654   3.30346059] -4.2379463595311035 ;\n",
+      "Epoch 320/1000, Cost: 4.2723\n",
+      " and the parameters are [-2.39167679  3.30343736] -4.237989558354888 ;\n",
+      "Epoch 320/1000, Cost: 3.4026\n",
+      " and the parameters are [-2.39163865  3.30350466] -4.238015137903398 ;\n",
+      "Epoch 320/1000, Cost: 5.5256\n",
+      " and the parameters are [-2.39161756  3.30347906] -4.238065230073546 ;\n",
+      "Epoch 320/1000, Cost: 4.1285\n",
+      " and the parameters are [-2.39166219  3.30349384] -4.238066678273086 ;\n",
+      "Epoch 320/1000, Cost: 3.1777\n",
+      " and the parameters are [-2.39173823  3.30346928] -4.238070821916957 ;\n",
+      "Epoch 320/1000, Cost: 3.9023\n",
+      " and the parameters are [-2.39174063  3.3035105 ] -4.238090684647754 ;\n",
+      "Epoch 320/1000, Cost: 2.4346\n",
+      " and the parameters are [-2.39169824  3.30358284] -4.238107055912232 ;\n",
+      "Epoch 320/1000, Cost: 5.7789\n",
+      " and the parameters are [-2.39168144  3.30361053] -4.238115303232094 ;\n",
+      "Epoch 320/1000, Cost: 2.8236\n",
+      " and the parameters are [-2.39167245  3.30364771] -4.238131675691049 ;\n",
+      "Epoch 320/1000, Cost: 5.8963\n",
+      " and the parameters are [-2.39163899  3.30361912] -4.238187769162243 ;\n",
+      "Epoch 320/1000, Cost: 3.8146\n",
+      " and the parameters are [-2.39166086  3.30370515] -4.238140296508642 ;\n",
+      "Epoch 320/1000, Cost: 3.5629\n",
+      " and the parameters are [-2.39161409  3.30381269] -4.238129342100346 ;\n",
+      "Epoch 320/1000, Cost: 3.7005\n",
+      " and the parameters are [-2.39166922  3.3038031 ] -4.238138465570285 ;\n",
+      "Epoch 320/1000, Cost: 2.7970\n",
+      " and the parameters are [-2.39164191  3.30393162] -4.238090235356497 ;\n",
+      "Epoch 320/1000, Cost: 2.9867\n",
+      " and the parameters are [-2.39158577  3.30405785] -4.238071891757567 ;\n",
+      "Epoch 320/1000, Cost: 2.6155\n",
+      " and the parameters are [-2.39152597  3.30412964] -4.238090778285197 ;\n",
+      "Epoch 320/1000, Cost: 6.1738\n",
+      " and the parameters are [-2.39157563  3.3041209 ] -4.23808942509516 ;\n",
+      "Epoch 320/1000, Cost: 3.8293\n",
+      " and the parameters are [-2.39165982  3.30408869] -4.238112565745972 ;\n",
+      "Epoch 320/1000, Cost: 2.5022\n",
+      " and the parameters are [-2.39175701  3.3039965 ] -4.23817259834721 ;\n",
+      "Epoch 320/1000, Cost: 3.0759\n",
+      " and the parameters are [-2.39181735  3.3040173 ] -4.238157111116564 ;\n",
+      "Epoch 320/1000, Cost: 2.5437\n",
+      " and the parameters are [-2.39187557  3.30394357] -4.238216937132197 ;\n",
+      "Epoch 320/1000, Cost: 4.1739\n",
+      " and the parameters are [-2.39187458  3.30407613] -4.238149485016175 ;\n",
+      "Epoch 320/1000, Cost: 6.7279\n",
+      " and the parameters are [-2.39196871  3.30399767] -4.238174056045544 ;\n",
+      "Epoch 320/1000, Cost: 7.1213\n",
+      " and the parameters are [-2.39194067  3.30406151] -4.23818578390047 ;\n",
+      "Epoch 320/1000, Cost: 4.5431\n",
+      " and the parameters are [-2.39189683  3.30409525] -4.238228979458118 ;\n",
+      "Epoch 320/1000, Cost: 3.8382\n",
+      " and the parameters are [-2.39184739  3.30413908] -4.238272126034654 ;\n",
+      "Epoch 320/1000, Cost: 3.0406\n",
+      " and the parameters are [-2.39187898  3.30421873] -4.238251416381952 ;\n",
+      "Epoch 320/1000, Cost: 4.7282\n",
+      " and the parameters are [-2.39196284  3.30414306] -4.238292053323542 ;\n",
+      "Epoch 320/1000, Cost: 4.0512\n",
+      " and the parameters are [-2.39191549  3.30420913] -4.238312846557778 ;\n",
+      "Epoch 320/1000, Cost: 3.3038\n",
+      " and the parameters are [-2.39189648  3.30419729] -4.238388875333561 ;\n",
+      "Epoch 320/1000, Cost: 2.5912\n",
+      " and the parameters are [-2.39191256  3.30428767] -4.238359723334261 ;\n",
+      "Epoch 320/1000, Cost: 3.5498\n",
+      " and the parameters are [-2.39189353  3.30421955] -4.238446953891476 ;\n",
+      "Epoch 320/1000, Cost: 2.0599\n",
+      " and the parameters are [-2.39185724  3.30429162] -4.23846779020584 ;\n",
+      "Epoch 320/1000, Cost: 2.1727\n",
+      " and the parameters are [-2.39187892  3.30432847] -4.23847858436534 ;\n",
+      "Epoch 320/1000, Cost: 2.0368\n",
+      " and the parameters are [-2.39189437  3.30438497] -4.238466824460039 ;\n",
+      "Epoch 320/1000, Cost: 2.0017\n",
+      " and the parameters are [-2.39194625  3.30439665] -4.238472009783412 ;\n",
+      "Epoch 320/1000, Cost: 3.5865\n",
+      " and the parameters are [-2.39202218  3.30443479] -4.2384466129460945 ;\n",
+      "Epoch 320/1000, Cost: 3.6882\n",
+      " and the parameters are [-2.39207171  3.30450289] -4.23841512878282 ;\n",
+      "Epoch 320/1000, Cost: 4.3641\n",
+      " and the parameters are [-2.39207432  3.30451167] -4.238468121490471 ;\n",
+      "Epoch 320/1000, Cost: 2.8114\n",
+      " and the parameters are [-2.392081   3.3046027] -4.238442758010525 ;\n",
+      "Epoch 320/1000, Cost: 3.2995\n",
+      " and the parameters are [-2.39215084  3.30468496] -4.238392257015875 ;\n",
+      "Epoch 320/1000, Cost: 2.7118\n",
+      " and the parameters are [-2.39213494  3.30475846] -4.238383318974508 ;\n",
+      "Epoch 320/1000, Cost: 7.5097\n",
+      " and the parameters are [-2.39207128  3.30471062] -4.238472597198614 ;\n",
+      "Epoch 320/1000, Cost: 2.4807\n",
+      " and the parameters are [-2.39203067  3.30481778] -4.238454195487228 ;\n",
+      "Epoch 320/1000, Cost: 7.0293\n",
+      " and the parameters are [-2.3920558   3.30474797] -4.238504930149013 ;\n",
+      "Epoch 320/1000, Cost: 3.6054\n",
+      " and the parameters are [-2.39204675  3.30478314] -4.2385283122983815 ;\n",
+      "Epoch 320/1000, Cost: 2.9275\n",
+      " and the parameters are [-2.39201238  3.30492504] -4.238482191967431 ;\n",
+      "Epoch 320/1000, Cost: 2.5227\n",
+      " and the parameters are [-2.39207775  3.30494899] -4.238476597496157 ;\n",
+      "Epoch 320/1000, Cost: 7.7837\n",
+      " and the parameters are [-2.39210265  3.30491728] -4.238471226168309 ;\n",
+      "Epoch 320/1000, Cost: 3.7897\n",
+      " and the parameters are [-2.39219101  3.30489865] -4.238488616133325 ;\n",
+      "Epoch 320/1000, Cost: 7.1513\n",
+      " and the parameters are [-2.39223192  3.30494846] -4.238444813608607 ;\n",
+      "Epoch 320/1000, Cost: 2.4960\n",
+      " and the parameters are [-2.392219    3.30496301] -4.238494003134398 ;\n",
+      "Epoch 320/1000, Cost: 2.0057\n",
+      " and the parameters are [-2.39219343  3.30498384] -4.238534983628122 ;\n",
+      "Epoch 320/1000, Cost: 2.5132\n",
+      " and the parameters are [-2.39218666  3.30497135] -4.238584274099628 ;\n",
+      "Epoch 320/1000, Cost: 2.5408\n",
+      " and the parameters are [-2.39222414  3.30506677] -4.238523251302732 ;\n",
+      "Epoch 320/1000, Cost: 4.5062\n",
+      " and the parameters are [-2.39222849  3.30508343] -4.238529880750829 ;\n",
+      "Epoch 320/1000, Cost: 3.5695\n",
+      " and the parameters are [-2.39214503  3.30516066] -4.238562016136533 ;\n",
+      "Epoch 320/1000, Cost: 3.6719\n",
+      " and the parameters are [-2.39217136  3.30518571] -4.2385718354086634 ;\n",
+      "Epoch 320/1000, Cost: 2.6308\n",
+      " and the parameters are [-2.39216255  3.30523845] -4.238581367109718 ;\n",
+      "Epoch 320/1000, Cost: 4.7268\n",
+      " and the parameters are [-2.39212559  3.30540501] -4.238533257493087 ;\n",
+      "Epoch 320/1000, Cost: 4.7340\n",
+      " and the parameters are [-2.39215975  3.30528787] -4.23863877074584 ;\n",
+      "Epoch 320/1000, Cost: 1.8736\n",
+      " and the parameters are [-2.39216598  3.30531164] -4.2386599897768 ;\n",
+      "Epoch 320/1000, Cost: 4.2177\n",
+      " and the parameters are [-2.39214285  3.30527747] -4.238724540219854 ;\n",
+      "Epoch 320/1000, Cost: 2.5275\n",
+      " and the parameters are [-2.39216272  3.30527412] -4.238756696168973 ;\n",
+      "Epoch 320/1000, Cost: 2.4740\n",
+      " and the parameters are [-2.39216843  3.30537137] -4.238722915975486 ;\n",
+      "Epoch 320/1000, Cost: 4.6587\n",
+      " and the parameters are [-2.39211216  3.30551573] -4.238688559959391 ;\n",
+      "Epoch 320/1000, Cost: 2.9623\n",
+      " and the parameters are [-2.3921247   3.30547508] -4.2387480373275475 ;\n",
+      "Epoch 320/1000, Cost: 1.7257\n",
+      " and the parameters are [-2.39210967  3.30547513] -4.23880015373278 ;\n",
+      "Epoch 320/1000, Cost: 1.6483\n",
+      " and the parameters are [-2.39217218  3.30547367] -4.238813006565272 ;\n",
+      "Epoch 320/1000, Cost: 3.6738\n",
+      " and the parameters are [-2.39216493  3.30551608] -4.238818445229811 ;\n",
+      "Epoch 320/1000, Cost: 3.6110\n",
+      " and the parameters are [-2.39219046  3.30549745] -4.238862628896531 ;\n",
+      "Epoch 320/1000, Cost: 5.5924\n",
+      " and the parameters are [-2.39214     3.30545522] -4.238953236688731 ;\n",
+      "Epoch 320/1000, Cost: 2.4443\n",
+      " and the parameters are [-2.39217445  3.30554207] -4.238907305301071 ;\n",
+      "Epoch 320/1000, Cost: 4.2254\n",
+      " and the parameters are [-2.39221436  3.30545858] -4.2389939011116855 ;\n",
+      "Epoch 320/1000, Cost: 2.9773\n",
+      " and the parameters are [-2.3922652   3.30534574] -4.239090444757078 ;\n",
+      "Epoch 320/1000, Cost: 3.6982\n",
+      " and the parameters are [-2.39235586  3.30522332] -4.239175916482901 ;\n",
+      "Epoch 320/1000, Cost: 2.9989\n",
+      " and the parameters are [-2.39236445  3.30522659] -4.239218821458807 ;\n",
+      "Epoch 320/1000, Cost: 3.4846\n",
+      " and the parameters are [-2.39237038  3.30521013] -4.239267726216396 ;\n",
+      "Epoch 320/1000, Cost: 5.9139\n",
+      " and the parameters are [-2.39237645  3.30518776] -4.23931183439575 ;\n",
+      "Epoch 320/1000, Cost: 3.0597\n",
+      " and the parameters are [-2.39243019  3.3052222 ] -4.239291989343289 ;\n",
+      "Epoch 320/1000, Cost: 7.5155\n",
+      " and the parameters are [-2.39257502  3.30502497] -4.239410681958066 ;\n",
+      "Epoch 320/1000, Cost: 2.5163\n",
+      " and the parameters are [-2.39255795  3.30509495] -4.239410519165193 ;\n",
+      "Epoch 320/1000, Cost: 3.2851\n",
+      " and the parameters are [-2.39260981  3.305045  ] -4.239477820003417 ;\n",
+      "Epoch 320/1000, Cost: 2.1496\n",
+      " and the parameters are [-2.39262633  3.30508927] -4.239480681379076 ;\n",
+      "Epoch 320/1000, Cost: 2.4806\n",
+      " and the parameters are [-2.39263719  3.30520458] -4.239432193387762 ;\n",
+      "Epoch 320/1000, Cost: 3.5581\n",
+      " and the parameters are [-2.3926861   3.30518031] -4.239465458577283 ;\n",
+      "Epoch 320/1000, Cost: 5.4937\n",
+      " and the parameters are [-2.39265832  3.30512801] -4.239543161627527 ;\n",
+      "Epoch 320/1000, Cost: 3.2494\n",
+      " and the parameters are [-2.3926791   3.30516338] -4.239566282481935 ;\n",
+      "Epoch 320/1000, Cost: 2.5839\n",
+      " and the parameters are [-2.39276248  3.30518771] -4.239553237919682 ;\n",
+      "Epoch 320/1000, Cost: 4.9100\n",
+      " and the parameters are [-2.39274574  3.30528387] -4.239514633457696 ;\n",
+      "Epoch 320/1000, Cost: 3.0523\n",
+      " and the parameters are [-2.39271878  3.30539905] -4.239482040310716 ;\n",
+      "Epoch 320/1000, Cost: 3.2861\n",
+      " and the parameters are [-2.39273283  3.30539883] -4.239517792597737 ;\n",
+      "Epoch 320/1000, Cost: 2.0574\n",
+      " and the parameters are [-2.39274969  3.30542501] -4.239536375114816 ;\n",
+      "Epoch 320/1000, Cost: 3.0266\n",
+      " and the parameters are [-2.39277877  3.30543883] -4.239558408435522 ;\n",
+      "Epoch 320/1000, Cost: 3.9650\n",
+      " and the parameters are [-2.3926825   3.30556318] -4.23955908200293 ;\n",
+      "Epoch 320/1000, Cost: 3.2738\n",
+      " and the parameters are [-2.39265104  3.30563131] -4.239578268930969 ;\n",
+      "Epoch 320/1000, Cost: 3.0902\n",
+      " and the parameters are [-2.39271216  3.30569006] -4.239543225859382 ;\n",
+      "Epoch 320/1000, Cost: 2.7151\n",
+      " and the parameters are [-2.39272009  3.30579981] -4.239504856614822 ;\n",
+      "Epoch 320/1000, Cost: 1.8541\n",
+      " and the parameters are [-2.39271457  3.305819  ] -4.239536854454477 ;\n",
+      "Epoch 320/1000, Cost: 3.5914\n",
+      " and the parameters are [-2.39273903  3.30577388] -4.239600788039798 ;\n",
+      "Epoch 320/1000, Cost: 4.4730\n",
+      " and the parameters are [-2.39274466  3.30585358] -4.239591875341041 ;\n",
+      "Epoch 320/1000, Cost: 3.2010\n",
+      " and the parameters are [-2.39274394  3.30583381] -4.239661535612 ;\n",
+      "Epoch 320/1000, Cost: 1.2204\n",
+      " and the parameters are [-2.39274402  3.3059165 ] -4.239638420945233 ;\n",
+      "Epoch 320/1000, Cost: 3.5866\n",
+      " and the parameters are [-2.39276515  3.30587818] -4.239694089411255 ;\n",
+      "Epoch 320/1000, Cost: 3.9526\n",
+      " and the parameters are [-2.39284052  3.30575323] -4.239778201866028 ;\n",
+      "Epoch 320/1000, Cost: 3.7428\n",
+      " and the parameters are [-2.3928115  3.3058234] -4.239774710070675 ;\n",
+      "Epoch 320/1000, Cost: 2.7790\n",
+      " and the parameters are [-2.39282108  3.30591647] -4.239746119020877 ;\n",
+      "Epoch 320/1000, Cost: 3.0008\n",
+      " and the parameters are [-2.39286042  3.3059366 ] -4.239732897039402 ;\n",
+      "Epoch 320/1000, Cost: 3.3229\n",
+      " and the parameters are [-2.39282848  3.30593496] -4.239798218047244 ;\n",
+      "Epoch 320/1000, Cost: 6.0437\n",
+      " and the parameters are [-2.39277156  3.30602367] -4.23980365165462 ;\n",
+      "Epoch 320/1000, Cost: 2.4420\n",
+      " and the parameters are [-2.39268977  3.30620658] -4.239751809619679 ;\n",
+      "Epoch 320/1000, Cost: 2.2596\n",
+      " and the parameters are [-2.39272227  3.30627074] -4.239728848293981 ;\n",
+      "Epoch 320/1000, Cost: 2.5378\n",
+      " and the parameters are [-2.39269861  3.3063489 ] -4.2397200901453616 ;\n",
+      "Epoch 320/1000, Cost: 5.4808\n",
+      " and the parameters are [-2.39277971  3.30629991] -4.239747757301296 ;\n",
+      "Epoch 320/1000, Cost: 1.3865\n",
+      " and the parameters are [-2.3927889   3.30634184] -4.239756497032795 ;\n",
+      "Epoch 320/1000, Cost: 4.9656\n",
+      " and the parameters are [-2.39288801  3.30639903] -4.239699438455365 ;\n",
+      "Epoch 320/1000, Cost: 1.4704\n",
+      " and the parameters are [-2.39288257  3.30647396] -4.239680696398773 ;\n",
+      "Epoch 320/1000, Cost: 3.1226\n",
+      " and the parameters are [-2.39288008  3.30653567] -4.239656588170254 ;\n",
+      "Epoch 320/1000, Cost: 1.8779\n",
+      " and the parameters are [-2.39289385  3.30655165] -4.239684682997852 ;\n",
+      "Epoch 320/1000, Cost: 2.8408\n",
+      " and the parameters are [-2.39293728  3.30658554] -4.239687941693945 ;\n",
+      "Epoch 320/1000, Cost: 2.4756\n",
+      " and the parameters are [-2.39296906  3.30664893] -4.239666324294816 ;\n",
+      "Epoch 320/1000, Cost: 5.4685\n",
+      " and the parameters are [-2.39300669  3.30644855] -4.239818364045423 ;\n",
+      "Epoch 320/1000, Cost: 2.8918\n",
+      " and the parameters are [-2.39303048  3.30642522] -4.2398723018446605 ;\n",
+      "Epoch 320/1000, Cost: 3.4732\n",
+      " and the parameters are [-2.39305517  3.30641729] -4.239903844083629 ;\n",
+      "Epoch 320/1000, Cost: 2.9423\n",
+      " and the parameters are [-2.39305623  3.30649313] -4.239902455211318 ;\n",
+      "Epoch 320/1000, Cost: 5.1762\n",
+      " and the parameters are [-2.39296924  3.30661103] -4.239888221700215 ;\n",
+      "Epoch 320/1000, Cost: 4.5228\n",
+      " and the parameters are [-2.3929234   3.30655206] -4.239987330774597 ;\n",
+      "Epoch 320/1000, Cost: 4.1283\n",
+      " and the parameters are [-2.39295464  3.30651129] -4.240049858226628 ;\n",
+      "Epoch 320/1000, Cost: 5.6636\n",
+      " and the parameters are [-2.39303073  3.30654082] -4.240017163156454 ;\n",
+      "Epoch 320/1000, Cost: 2.2156\n",
+      " and the parameters are [-2.39303244  3.3065847 ] -4.240031865147457 ;\n",
+      "Epoch 320/1000, Cost: 5.4111\n",
+      " and the parameters are [-2.39295764  3.30668191] -4.239982540111748 ;\n",
+      "Epoch 320/1000, Cost: 2.8013\n",
+      " and the parameters are [-2.39299427  3.30667703] -4.240022080135364 ;\n",
+      "Epoch 320/1000, Cost: 3.6761\n",
+      " and the parameters are [-2.39304033  3.30667698] -4.240034854555729 ;\n",
+      "Epoch 320/1000, Cost: 3.1404\n",
+      " and the parameters are [-2.39307567  3.30672234] -4.240013017769145 ;\n",
+      "Epoch 320/1000, Cost: 6.0688\n",
+      " and the parameters are [-2.39312104  3.30671881] -4.240030207020091 ;\n",
+      "Epoch 320/1000, Cost: 1.4172\n",
+      " and the parameters are [-2.39310383  3.30677624] -4.240031533502042 ;\n",
+      "Epoch 320/1000, Cost: 2.3460\n",
+      " and the parameters are [-2.39311407  3.30680708] -4.240047318132649 ;\n",
+      "Epoch 320/1000, Cost: 0.9730\n",
+      " and the parameters are [-2.39311981  3.30684954] -4.240046539495311 ;\n",
+      "Epoch 320/1000, Cost: 2.1040\n",
+      " and the parameters are [-2.39320677  3.30678306] -4.240082222917622 ;\n",
+      "Epoch 320/1000, Cost: 3.4981\n",
+      " and the parameters are [-2.39315563  3.30684194] -4.240104475740272 ;\n",
+      "Epoch 320/1000, Cost: 4.4081\n",
+      " and the parameters are [-2.39322162  3.30673073] -4.240181650416151 ;\n",
+      "Epoch 320/1000, Cost: 2.9447\n",
+      " and the parameters are [-2.39318582  3.30678498] -4.240209733749892 ;\n",
+      "Epoch 320/1000, Cost: 4.6748\n",
+      " and the parameters are [-2.39310143  3.30676669] -4.240281024016675 ;\n",
+      "Epoch 320/1000, Cost: 3.2724\n",
+      " and the parameters are [-2.39306075  3.30686643] -4.2402749764829775 ;\n",
+      "Epoch 320/1000, Cost: 4.8779\n",
+      " and the parameters are [-2.3931376   3.30668469] -4.240408190705052 ;\n",
+      "Epoch 320/1000, Cost: 3.5209\n",
+      " and the parameters are [-2.39321181  3.3066684 ] -4.240434866030572 ;\n",
+      "Epoch 320/1000, Cost: 3.5287\n",
+      " and the parameters are [-2.39320553  3.30667221] -4.240491675743188 ;\n",
+      "Epoch 320/1000, Cost: 9.5361\n",
+      " and the parameters are [-2.39334175  3.30634204] -4.240657217303646 ;\n",
+      "Epoch 320/1000, Cost: 3.8737\n",
+      " and the parameters are [-2.39334407  3.30627619] -4.240741397754769 ;\n",
+      "Epoch 320/1000, Cost: 2.8554\n",
+      " and the parameters are [-2.39345066  3.30619175] -4.240785980190446 ;\n",
+      "Epoch 320/1000, Cost: 2.7122\n",
+      " and the parameters are [-2.39340561  3.3062784 ] -4.240786956356963 ;\n",
+      "Epoch 320/1000, Cost: 3.3353\n",
+      " and the parameters are [-2.39347609  3.30620442] -4.240841888398101 ;\n",
+      "Epoch 320/1000, Cost: 5.6490\n",
+      " and the parameters are [-2.39357888  3.30603147] -4.2409551817151785 ;\n",
+      "Epoch 320/1000, Cost: 4.6407\n",
+      " and the parameters are [-2.39350444  3.30601938] -4.241035019899408 ;\n",
+      "Epoch 330/1000, Cost: 3.2772\n",
+      " and the parameters are [-2.41474801  3.33213439] -4.278866669793085 ;\n",
+      "Epoch 330/1000, Cost: 1.0618\n",
+      " and the parameters are [-2.41472808  3.33217974] -4.278878670086098 ;\n",
+      "Epoch 330/1000, Cost: 4.9959\n",
+      " and the parameters are [-2.41467509  3.33231383] -4.278845282009216 ;\n",
+      "Epoch 330/1000, Cost: 4.0733\n",
+      " and the parameters are [-2.41461104  3.33239548] -4.278867465814208 ;\n",
+      "Epoch 330/1000, Cost: 3.6293\n",
+      " and the parameters are [-2.41466534  3.33242631] -4.278867010263363 ;\n",
+      "Epoch 330/1000, Cost: 2.9721\n",
+      " and the parameters are [-2.4146384   3.33247527] -4.278891705507856 ;\n",
+      "Epoch 330/1000, Cost: 4.5438\n",
+      " and the parameters are [-2.41467436  3.33253159] -4.278864438250715 ;\n",
+      "Epoch 330/1000, Cost: 2.9837\n",
+      " and the parameters are [-2.41472827  3.33255782] -4.2788699060729805 ;\n",
+      "Epoch 330/1000, Cost: 1.2943\n",
+      " and the parameters are [-2.41472272  3.33256838] -4.278902568626781 ;\n",
+      "Epoch 330/1000, Cost: 4.5002\n",
+      " and the parameters are [-2.41467378  3.33270341] -4.278830193899121 ;\n",
+      "Epoch 330/1000, Cost: 3.9797\n",
+      " and the parameters are [-2.41474836  3.33259185] -4.278902696359589 ;\n",
+      "Epoch 330/1000, Cost: 3.8564\n",
+      " and the parameters are [-2.41471236  3.33273433] -4.278862028337587 ;\n",
+      "Epoch 330/1000, Cost: 4.6240\n",
+      " and the parameters are [-2.41471207  3.33262059] -4.2789796566242195 ;\n",
+      "Epoch 330/1000, Cost: 6.0242\n",
+      " and the parameters are [-2.41483456  3.33265163] -4.278901299563505 ;\n",
+      "Epoch 330/1000, Cost: 7.0976\n",
+      " and the parameters are [-2.41498718  3.33255962] -4.278900709576241 ;\n",
+      "Epoch 330/1000, Cost: 4.2074\n",
+      " and the parameters are [-2.41496218  3.33261796] -4.278915095082477 ;\n",
+      "Epoch 330/1000, Cost: 4.4204\n",
+      " and the parameters are [-2.41500548  3.33255794] -4.278978319842466 ;\n",
+      "Epoch 330/1000, Cost: 3.5272\n",
+      " and the parameters are [-2.41499649  3.33252651] -4.279049070524309 ;\n",
+      "Epoch 330/1000, Cost: 4.6619\n",
+      " and the parameters are [-2.41509593  3.33244748] -4.279074068389608 ;\n",
+      "Epoch 330/1000, Cost: 6.1200\n",
+      " and the parameters are [-2.41499528  3.33244055] -4.27914397345071 ;\n",
+      "Epoch 330/1000, Cost: 3.7966\n",
+      " and the parameters are [-2.41502733  3.33244137] -4.279169077219889 ;\n",
+      "Epoch 330/1000, Cost: 2.8664\n",
+      " and the parameters are [-2.41504602  3.33242589] -4.27920612467191 ;\n",
+      "Epoch 330/1000, Cost: 4.4464\n",
+      " and the parameters are [-2.41499768  3.33238458] -4.279271172196311 ;\n",
+      "Epoch 330/1000, Cost: 3.5845\n",
+      " and the parameters are [-2.41498447  3.33228721] -4.279375554424663 ;\n",
+      "Epoch 330/1000, Cost: 2.3729\n",
+      " and the parameters are [-2.41502337  3.33233514] -4.279354107271708 ;\n",
+      "Epoch 330/1000, Cost: 2.0242\n",
+      " and the parameters are [-2.41502594  3.33243085] -4.279325583884464 ;\n",
+      "Epoch 330/1000, Cost: 4.3509\n",
+      " and the parameters are [-2.41503301  3.33238885] -4.279400014308108 ;\n",
+      "Epoch 330/1000, Cost: 1.6715\n",
+      " and the parameters are [-2.41504487  3.33243116] -4.279405888515528 ;\n",
+      "Epoch 330/1000, Cost: 1.9269\n",
+      " and the parameters are [-2.41504945  3.33246649] -4.279415580047565 ;\n",
+      "Epoch 330/1000, Cost: 2.1882\n",
+      " and the parameters are [-2.41503017  3.33253493] -4.279420955961607 ;\n",
+      "Epoch 330/1000, Cost: 1.4126\n",
+      " and the parameters are [-2.41507418  3.33251927] -4.279451557034265 ;\n",
+      "Epoch 330/1000, Cost: 2.4827\n",
+      " and the parameters are [-2.41510113  3.33262183] -4.27940670295389 ;\n",
+      "Epoch 330/1000, Cost: 4.9265\n",
+      " and the parameters are [-2.41513889  3.33260296] -4.279454643442834 ;\n",
+      "Epoch 330/1000, Cost: 9.1482\n",
+      " and the parameters are [-2.41508942  3.33260321] -4.279498414121047 ;\n",
+      "Epoch 330/1000, Cost: 5.7003\n",
+      " and the parameters are [-2.4150425   3.33264762] -4.279514718988675 ;\n",
+      "Epoch 330/1000, Cost: 1.0626\n",
+      " and the parameters are [-2.41502783  3.3326717 ] -4.27953724471453 ;\n",
+      "Epoch 330/1000, Cost: 3.7273\n",
+      " and the parameters are [-2.41499022  3.3327841 ] -4.2795173525766605 ;\n",
+      "Epoch 330/1000, Cost: 2.7064\n",
+      " and the parameters are [-2.41497403  3.33276455] -4.279598824857909 ;\n",
+      "Epoch 330/1000, Cost: 3.7981\n",
+      " and the parameters are [-2.41498627  3.33282362] -4.279589187819174 ;\n",
+      "Epoch 330/1000, Cost: 2.9495\n",
+      " and the parameters are [-2.415037    3.33283634] -4.279595317620663 ;\n",
+      "Epoch 330/1000, Cost: 7.1371\n",
+      " and the parameters are [-2.41498025  3.33286928] -4.279588658369486 ;\n",
+      "Epoch 330/1000, Cost: 3.4917\n",
+      " and the parameters are [-2.41500707  3.332814  ] -4.2796570732429 ;\n",
+      "Epoch 330/1000, Cost: 3.8178\n",
+      " and the parameters are [-2.41505571  3.33281665] -4.279665341473676 ;\n",
+      "Epoch 330/1000, Cost: 5.1214\n",
+      " and the parameters are [-2.41506574  3.33285192] -4.2796659857474175 ;\n",
+      "Epoch 330/1000, Cost: 7.2123\n",
+      " and the parameters are [-2.41515756  3.33282954] -4.2796368499805 ;\n",
+      "Epoch 330/1000, Cost: 3.7823\n",
+      " and the parameters are [-2.41516532  3.33282943] -4.279661945672604 ;\n",
+      "Epoch 330/1000, Cost: 4.5205\n",
+      " and the parameters are [-2.41521944  3.33271742] -4.2797597880122416 ;\n",
+      "Epoch 330/1000, Cost: 5.2063\n",
+      " and the parameters are [-2.41526776  3.33264918] -4.279814520984451 ;\n",
+      "Epoch 330/1000, Cost: 2.3783\n",
+      " and the parameters are [-2.41525532  3.33276086] -4.27978652761869 ;\n",
+      "Epoch 330/1000, Cost: 3.5908\n",
+      " and the parameters are [-2.41524516  3.33292072] -4.279724220454097 ;\n",
+      "Epoch 330/1000, Cost: 0.7578\n",
+      " and the parameters are [-2.41526142  3.33293704] -4.279728926619891 ;\n",
+      "Epoch 330/1000, Cost: 3.1854\n",
+      " and the parameters are [-2.41538668  3.33291544] -4.279694375210234 ;\n",
+      "Epoch 330/1000, Cost: 4.5785\n",
+      " and the parameters are [-2.41543617  3.33282819] -4.2798041574205135 ;\n",
+      "Epoch 330/1000, Cost: 4.8163\n",
+      " and the parameters are [-2.41549622  3.33275655] -4.2798599357625315 ;\n",
+      "Epoch 330/1000, Cost: 2.7160\n",
+      " and the parameters are [-2.41551993  3.33280282] -4.279858033820026 ;\n",
+      "Epoch 330/1000, Cost: 1.7715\n",
+      " and the parameters are [-2.4155141   3.33283809] -4.279870873178135 ;\n",
+      "Epoch 330/1000, Cost: 4.7998\n",
+      " and the parameters are [-2.41554786  3.33292029] -4.2798245159345125 ;\n",
+      "Epoch 330/1000, Cost: 2.3646\n",
+      " and the parameters are [-2.41555479  3.33304099] -4.279777303727493 ;\n",
+      "Epoch 330/1000, Cost: 4.7366\n",
+      " and the parameters are [-2.41563472  3.33307055] -4.279757646550719 ;\n",
+      "Epoch 330/1000, Cost: 2.2843\n",
+      " and the parameters are [-2.41563983  3.33312467] -4.279765165113369 ;\n",
+      "Epoch 330/1000, Cost: 2.2184\n",
+      " and the parameters are [-2.41569424  3.33313738] -4.2797794808866385 ;\n",
+      "Epoch 330/1000, Cost: 3.0335\n",
+      " and the parameters are [-2.4157176   3.33312265] -4.279817467649729 ;\n",
+      "Epoch 330/1000, Cost: 9.2271\n",
+      " and the parameters are [-2.41581627  3.33284028] -4.27997762314507 ;\n",
+      "Epoch 330/1000, Cost: 2.3718\n",
+      " and the parameters are [-2.4158695   3.33278623] -4.280035344871541 ;\n",
+      "Epoch 330/1000, Cost: 3.4393\n",
+      " and the parameters are [-2.41585861  3.33288244] -4.280001746046078 ;\n",
+      "Epoch 330/1000, Cost: 4.0299\n",
+      " and the parameters are [-2.4158996   3.33286389] -4.280042020507139 ;\n",
+      "Epoch 330/1000, Cost: 1.5417\n",
+      " and the parameters are [-2.41588976  3.33293408] -4.280031750039228 ;\n",
+      "Epoch 330/1000, Cost: 3.4748\n",
+      " and the parameters are [-2.415862   3.3328932] -4.280090858418749 ;\n",
+      "Epoch 330/1000, Cost: 2.0859\n",
+      " and the parameters are [-2.41586705  3.33291759] -4.280121780219573 ;\n",
+      "Epoch 330/1000, Cost: 4.2109\n",
+      " and the parameters are [-2.41587042  3.33292401] -4.280168658875993 ;\n",
+      "Epoch 330/1000, Cost: 3.5441\n",
+      " and the parameters are [-2.4159138   3.33291374] -4.280197239979022 ;\n",
+      "Epoch 330/1000, Cost: 3.6196\n",
+      " and the parameters are [-2.41598992  3.3328944 ] -4.280203520497617 ;\n",
+      "Epoch 330/1000, Cost: 4.8849\n",
+      " and the parameters are [-2.41589832  3.33300732] -4.280206589800546 ;\n",
+      "Epoch 330/1000, Cost: 5.8891\n",
+      " and the parameters are [-2.41600759  3.33283818] -4.280298103195003 ;\n",
+      "Epoch 330/1000, Cost: 3.1042\n",
+      " and the parameters are [-2.41596723  3.33278959] -4.280386963545592 ;\n",
+      "Epoch 330/1000, Cost: 3.4260\n",
+      " and the parameters are [-2.41601473  3.3328159 ] -4.2803816558972665 ;\n",
+      "Epoch 330/1000, Cost: 3.0634\n",
+      " and the parameters are [-2.4159547   3.33296826] -4.280350427834676 ;\n",
+      "Epoch 330/1000, Cost: 4.1504\n",
+      " and the parameters are [-2.41595386  3.33316414] -4.280248751699227 ;\n",
+      "Epoch 330/1000, Cost: 1.2646\n",
+      " and the parameters are [-2.4159713   3.33318162] -4.280265480594011 ;\n",
+      "Epoch 330/1000, Cost: 2.6336\n",
+      " and the parameters are [-2.41600215  3.33328647] -4.280203788067417 ;\n",
+      "Epoch 330/1000, Cost: 6.0084\n",
+      " and the parameters are [-2.41605182  3.33316635] -4.280299681795271 ;\n",
+      "Epoch 330/1000, Cost: 5.3373\n",
+      " and the parameters are [-2.41616766  3.33301663] -4.280380466330076 ;\n",
+      "Epoch 330/1000, Cost: 5.6489\n",
+      " and the parameters are [-2.4161333   3.33313699] -4.280322647104607 ;\n",
+      "Epoch 330/1000, Cost: 5.7772\n",
+      " and the parameters are [-2.41610381  3.33321093] -4.280303198952566 ;\n",
+      "Epoch 330/1000, Cost: 3.0183\n",
+      " and the parameters are [-2.41612741  3.33323077] -4.2803362709932005 ;\n",
+      "Epoch 330/1000, Cost: 2.6608\n",
+      " and the parameters are [-2.41612848  3.33328784] -4.280333803093446 ;\n",
+      "Epoch 330/1000, Cost: 3.3791\n",
+      " and the parameters are [-2.41615512  3.33322389] -4.280398704415473 ;\n",
+      "Epoch 330/1000, Cost: 3.0779\n",
+      " and the parameters are [-2.41623012  3.33320368] -4.280405681878031 ;\n",
+      "Epoch 330/1000, Cost: 2.2894\n",
+      " and the parameters are [-2.41622438  3.33329016] -4.280388167642627 ;\n",
+      "Epoch 330/1000, Cost: 4.1978\n",
+      " and the parameters are [-2.41631144  3.33312799] -4.280488929246707 ;\n",
+      "Epoch 330/1000, Cost: 2.4148\n",
+      " and the parameters are [-2.41629207  3.33314305] -4.280536579480662 ;\n",
+      "Epoch 330/1000, Cost: 3.8147\n",
+      " and the parameters are [-2.41626585  3.33309106] -4.280613427373271 ;\n",
+      "Epoch 330/1000, Cost: 4.8686\n",
+      " and the parameters are [-2.41632035  3.33305052] -4.280672245950833 ;\n",
+      "Epoch 330/1000, Cost: 3.9092\n",
+      " and the parameters are [-2.4162882   3.33311143] -4.28070477431041 ;\n",
+      "Epoch 330/1000, Cost: 6.0458\n",
+      " and the parameters are [-2.41626228  3.3331295 ] -4.280741712952635 ;\n",
+      "Epoch 330/1000, Cost: 3.9847\n",
+      " and the parameters are [-2.41633729  3.33303372] -4.2808051658674895 ;\n",
+      "Epoch 330/1000, Cost: 3.9807\n",
+      " and the parameters are [-2.41640505  3.33290331] -4.280920056988532 ;\n",
+      "Epoch 330/1000, Cost: 1.6435\n",
+      " and the parameters are [-2.41639546  3.33294233] -4.2809314653069634 ;\n",
+      "Epoch 330/1000, Cost: 8.4893\n",
+      " and the parameters are [-2.41632098  3.33290856] -4.280975092085056 ;\n",
+      "Epoch 330/1000, Cost: 8.4268\n",
+      " and the parameters are [-2.41640146  3.33279074] -4.2810001630575005 ;\n",
+      "Epoch 330/1000, Cost: 4.5684\n",
+      " and the parameters are [-2.41643913  3.33277107] -4.281028473950657 ;\n",
+      "Epoch 330/1000, Cost: 4.3206\n",
+      " and the parameters are [-2.41655348  3.33275941] -4.281018551062418 ;\n",
+      "Epoch 330/1000, Cost: 1.7289\n",
+      " and the parameters are [-2.41652461  3.33283821] -4.281017895429685 ;\n",
+      "Epoch 330/1000, Cost: 2.1337\n",
+      " and the parameters are [-2.41652216  3.33288044] -4.281031690320728 ;\n",
+      "Epoch 330/1000, Cost: 4.4018\n",
+      " and the parameters are [-2.41644789  3.33289567] -4.281113237100192 ;\n",
+      "Epoch 330/1000, Cost: 3.8234\n",
+      " and the parameters are [-2.41642824  3.33289121] -4.2811687118203965 ;\n",
+      "Epoch 330/1000, Cost: 2.4689\n",
+      " and the parameters are [-2.41643544  3.33300188] -4.281128038694603 ;\n",
+      "Epoch 330/1000, Cost: 5.7528\n",
+      " and the parameters are [-2.41650108  3.33296866] -4.281168154965807 ;\n",
+      "Epoch 330/1000, Cost: 4.1940\n",
+      " and the parameters are [-2.41640768  3.33307623] -4.281181901617267 ;\n",
+      "Epoch 330/1000, Cost: 1.8292\n",
+      " and the parameters are [-2.41642334  3.3330404 ] -4.281241439737798 ;\n",
+      "Epoch 330/1000, Cost: 3.0723\n",
+      " and the parameters are [-2.41654284  3.33292797] -4.281305014404778 ;\n",
+      "Epoch 330/1000, Cost: 8.8531\n",
+      " and the parameters are [-2.41655979  3.33277265] -4.281419389284698 ;\n",
+      "Epoch 330/1000, Cost: 2.2604\n",
+      " and the parameters are [-2.41660019  3.33272575] -4.281475385808767 ;\n",
+      "Epoch 330/1000, Cost: 2.7433\n",
+      " and the parameters are [-2.41661526  3.33270798] -4.28153283345209 ;\n",
+      "Epoch 330/1000, Cost: 2.9587\n",
+      " and the parameters are [-2.41659682  3.33278534] -4.28154505318202 ;\n",
+      "Epoch 330/1000, Cost: 4.9324\n",
+      " and the parameters are [-2.41655385  3.3328395 ] -4.281572009835387 ;\n",
+      "Epoch 330/1000, Cost: 1.7038\n",
+      " and the parameters are [-2.4165558   3.33289933] -4.281567373759063 ;\n",
+      "Epoch 330/1000, Cost: 2.9016\n",
+      " and the parameters are [-2.4165682   3.33299692] -4.281523725808862 ;\n",
+      "Epoch 330/1000, Cost: 3.4305\n",
+      " and the parameters are [-2.41657656  3.33299848] -4.281557602297402 ;\n",
+      "Epoch 330/1000, Cost: 2.3479\n",
+      " and the parameters are [-2.41656008  3.33302973] -4.281589119270406 ;\n",
+      "Epoch 330/1000, Cost: 2.4266\n",
+      " and the parameters are [-2.41654441  3.33308652] -4.281602078962984 ;\n",
+      "Epoch 330/1000, Cost: 3.4090\n",
+      " and the parameters are [-2.41661984  3.33305776] -4.28161514804533 ;\n",
+      "Epoch 330/1000, Cost: 4.5025\n",
+      " and the parameters are [-2.41670486  3.3329415 ] -4.281680709740624 ;\n",
+      "Epoch 330/1000, Cost: 3.1885\n",
+      " and the parameters are [-2.41667864  3.33301237] -4.2816902041729685 ;\n",
+      "Epoch 330/1000, Cost: 4.1181\n",
+      " and the parameters are [-2.41669572  3.33294537] -4.2817786921157195 ;\n",
+      "Epoch 330/1000, Cost: 2.4443\n",
+      " and the parameters are [-2.41659847  3.33298303] -4.281830612137863 ;\n",
+      "Epoch 330/1000, Cost: 2.1388\n",
+      " and the parameters are [-2.41659802  3.33300623] -4.281852114922339 ;\n",
+      "Epoch 330/1000, Cost: 2.6516\n",
+      " and the parameters are [-2.41668265  3.33301595] -4.28184327270773 ;\n",
+      "Epoch 330/1000, Cost: 3.3356\n",
+      " and the parameters are [-2.41668066  3.33311318] -4.2817892093164085 ;\n",
+      "Epoch 330/1000, Cost: 1.4490\n",
+      " and the parameters are [-2.41667974  3.33311821] -4.28182613728622 ;\n",
+      "Epoch 330/1000, Cost: 3.7043\n",
+      " and the parameters are [-2.41664134  3.33316598] -4.281855816214538 ;\n",
+      "Epoch 330/1000, Cost: 5.5375\n",
+      " and the parameters are [-2.41667389  3.33298942] -4.282001444866272 ;\n",
+      "Epoch 330/1000, Cost: 2.6365\n",
+      " and the parameters are [-2.41664426  3.33304649] -4.281990841117533 ;\n",
+      "Epoch 330/1000, Cost: 2.1519\n",
+      " and the parameters are [-2.41664529  3.33309387] -4.281997858334762 ;\n",
+      "Epoch 330/1000, Cost: 3.8647\n",
+      " and the parameters are [-2.41665576  3.33313733] -4.2820175161136085 ;\n",
+      "Epoch 330/1000, Cost: 4.0586\n",
+      " and the parameters are [-2.41659975  3.33314966] -4.282081237195224 ;\n",
+      "Epoch 330/1000, Cost: 3.3606\n",
+      " and the parameters are [-2.41663641  3.33317083] -4.282091827495598 ;\n",
+      "Epoch 330/1000, Cost: 1.9199\n",
+      " and the parameters are [-2.41664708  3.33321469] -4.282099251744253 ;\n",
+      "Epoch 330/1000, Cost: 2.6080\n",
+      " and the parameters are [-2.41672072  3.33322003] -4.282108517403989 ;\n",
+      "Epoch 330/1000, Cost: 2.0789\n",
+      " and the parameters are [-2.41674249  3.33326916] -4.282097557081498 ;\n",
+      "Epoch 330/1000, Cost: 3.9722\n",
+      " and the parameters are [-2.41679006  3.33328211] -4.282106955221841 ;\n",
+      "Epoch 330/1000, Cost: 3.6911\n",
+      " and the parameters are [-2.41684449  3.33332625] -4.282093474375526 ;\n",
+      "Epoch 330/1000, Cost: 4.6981\n",
+      " and the parameters are [-2.41684416  3.33335234] -4.282116448155043 ;\n",
+      "Epoch 330/1000, Cost: 2.5803\n",
+      " and the parameters are [-2.41690141  3.33331478] -4.282157467847592 ;\n",
+      "Epoch 330/1000, Cost: 2.6402\n",
+      " and the parameters are [-2.41685986  3.33329896] -4.282234291240421 ;\n",
+      "Epoch 330/1000, Cost: 2.2967\n",
+      " and the parameters are [-2.4169173   3.33327565] -4.282252879288018 ;\n",
+      "Epoch 330/1000, Cost: 3.3584\n",
+      " and the parameters are [-2.4169098  3.3332892] -4.282283156899151 ;\n",
+      "Epoch 330/1000, Cost: 3.2970\n",
+      " and the parameters are [-2.41700554  3.33322738] -4.282323301440988 ;\n",
+      "Epoch 330/1000, Cost: 8.9025\n",
+      " and the parameters are [-2.41687328  3.3333151 ] -4.282317205082339 ;\n",
+      "Epoch 330/1000, Cost: 2.6260\n",
+      " and the parameters are [-2.41693544  3.33323947] -4.282381331334239 ;\n",
+      "Epoch 330/1000, Cost: 2.7301\n",
+      " and the parameters are [-2.41688134  3.33330516] -4.28241157693305 ;\n",
+      "Epoch 330/1000, Cost: 3.1031\n",
+      " and the parameters are [-2.4169871   3.33329492] -4.282406764957481 ;\n",
+      "Epoch 330/1000, Cost: 2.4766\n",
+      " and the parameters are [-2.41699882  3.33341264] -4.282352626007189 ;\n",
+      "Epoch 330/1000, Cost: 2.5418\n",
+      " and the parameters are [-2.41706059  3.33345587] -4.282332594999133 ;\n",
+      "Epoch 330/1000, Cost: 4.8333\n",
+      " and the parameters are [-2.41712434  3.33346343] -4.282324605826956 ;\n",
+      "Epoch 330/1000, Cost: 5.3942\n",
+      " and the parameters are [-2.41702874  3.33346536] -4.282415713266727 ;\n",
+      "Epoch 330/1000, Cost: 3.0485\n",
+      " and the parameters are [-2.41697219  3.33350377] -4.282468095501405 ;\n",
+      "Epoch 330/1000, Cost: 8.5259\n",
+      " and the parameters are [-2.41699812  3.33344936] -4.2824854009262525 ;\n",
+      "Epoch 330/1000, Cost: 5.0197\n",
+      " and the parameters are [-2.41701518  3.33354448] -4.282435877638812 ;\n",
+      "Epoch 330/1000, Cost: 3.0576\n",
+      " and the parameters are [-2.4169967  3.3336807] -4.282391365428636 ;\n",
+      "Epoch 330/1000, Cost: 5.7817\n",
+      " and the parameters are [-2.41698879  3.33357069] -4.2825055496427975 ;\n",
+      "Epoch 330/1000, Cost: 2.8608\n",
+      " and the parameters are [-2.41700144  3.33367962] -4.2824655866969294 ;\n",
+      "Epoch 330/1000, Cost: 3.4214\n",
+      " and the parameters are [-2.41698491  3.33375141] -4.282464317460644 ;\n",
+      "Epoch 330/1000, Cost: 2.5742\n",
+      " and the parameters are [-2.41699361  3.3338523 ] -4.282437738453299 ;\n",
+      "Epoch 330/1000, Cost: 2.3321\n",
+      " and the parameters are [-2.4169522   3.33390894] -4.282457915094497 ;\n",
+      "Epoch 330/1000, Cost: 2.9771\n",
+      " and the parameters are [-2.41700481  3.33393518] -4.282460481458872 ;\n",
+      "Epoch 330/1000, Cost: 1.4221\n",
+      " and the parameters are [-2.41701168  3.33396783] -4.282473852146403 ;\n",
+      "Epoch 330/1000, Cost: 2.5136\n",
+      " and the parameters are [-2.41698969  3.33409868] -4.2824324679270624 ;\n",
+      "Epoch 330/1000, Cost: 4.4364\n",
+      " and the parameters are [-2.41694305  3.33424672] -4.282365764300869 ;\n",
+      "Epoch 330/1000, Cost: 3.3873\n",
+      " and the parameters are [-2.41689673  3.33418051] -4.282475830076146 ;\n",
+      "Epoch 330/1000, Cost: 2.3191\n",
+      " and the parameters are [-2.41690085  3.33420028] -4.28249619426882 ;\n",
+      "Epoch 330/1000, Cost: 3.2176\n",
+      " and the parameters are [-2.41692736  3.33423834] -4.282490316040655 ;\n",
+      "Epoch 330/1000, Cost: 2.2134\n",
+      " and the parameters are [-2.41698863  3.33422213] -4.282509605343604 ;\n",
+      "Epoch 330/1000, Cost: 2.2049\n",
+      " and the parameters are [-2.41700175  3.33426941] -4.2825023096492005 ;\n",
+      "Epoch 330/1000, Cost: 2.8921\n",
+      " and the parameters are [-2.41705282  3.33423552] -4.282549986363621 ;\n",
+      "Epoch 330/1000, Cost: 4.3745\n",
+      " and the parameters are [-2.41707519  3.33429713] -4.282545275902107 ;\n",
+      "Epoch 330/1000, Cost: 4.0337\n",
+      " and the parameters are [-2.41711516  3.33439604] -4.282487189565959 ;\n",
+      "Epoch 330/1000, Cost: 2.4077\n",
+      " and the parameters are [-2.41705243  3.33445303] -4.2825154220335495 ;\n",
+      "Epoch 330/1000, Cost: 5.9025\n",
+      " and the parameters are [-2.41710782  3.33452043] -4.282478249062236 ;\n",
+      "Epoch 330/1000, Cost: 2.7183\n",
+      " and the parameters are [-2.41708707  3.33453058] -4.282522762598562 ;\n",
+      "Epoch 330/1000, Cost: 5.4916\n",
+      " and the parameters are [-2.41706834  3.33449965] -4.282593140366965 ;\n",
+      "Epoch 330/1000, Cost: 1.4581\n",
+      " and the parameters are [-2.41707891  3.33453838] -4.282599436264465 ;\n",
+      "Epoch 330/1000, Cost: 4.0023\n",
+      " and the parameters are [-2.41703939  3.33463728] -4.282579055455443 ;\n",
+      "Epoch 330/1000, Cost: 3.2503\n",
+      " and the parameters are [-2.41710135  3.33472854] -4.282524872181962 ;\n",
+      "Epoch 330/1000, Cost: 8.2842\n",
+      " and the parameters are [-2.41710635  3.33468306] -4.28254698060908 ;\n",
+      "Epoch 330/1000, Cost: 4.6201\n",
+      " and the parameters are [-2.41707971  3.33477548] -4.2825363408707195 ;\n",
+      "Epoch 330/1000, Cost: 1.6337\n",
+      " and the parameters are [-2.41705282  3.33479639] -4.282569076897568 ;\n",
+      "Epoch 330/1000, Cost: 3.0787\n",
+      " and the parameters are [-2.41702327  3.33480065] -4.28264334821199 ;\n",
+      "Epoch 330/1000, Cost: 2.6625\n",
+      " and the parameters are [-2.41706846  3.33477773] -4.282664374827788 ;\n",
+      "Epoch 330/1000, Cost: 3.7879\n",
+      " and the parameters are [-2.41703021  3.33488063] -4.282638714259957 ;\n",
+      "Epoch 330/1000, Cost: 2.2335\n",
+      " and the parameters are [-2.41704638  3.33487624] -4.282680463530465 ;\n",
+      "Epoch 330/1000, Cost: 4.2315\n",
+      " and the parameters are [-2.41707395  3.33486442] -4.2827293342154915 ;\n",
+      "Epoch 330/1000, Cost: 2.8254\n",
+      " and the parameters are [-2.4170459   3.33490382] -4.282768541944015 ;\n",
+      "Epoch 330/1000, Cost: 5.1575\n",
+      " and the parameters are [-2.41714798  3.33479306] -4.282827345227662 ;\n",
+      "Epoch 330/1000, Cost: 3.1906\n",
+      " and the parameters are [-2.4170338   3.33492697] -4.2828228638418455 ;\n",
+      "Epoch 330/1000, Cost: 3.1057\n",
+      " and the parameters are [-2.41707353  3.33493875] -4.282847338376251 ;\n",
+      "Epoch 330/1000, Cost: 5.0825\n",
+      " and the parameters are [-2.41702607  3.33506075] -4.282807613637575 ;\n",
+      "Epoch 330/1000, Cost: 4.5932\n",
+      " and the parameters are [-2.41703287  3.33500614] -4.282894946637644 ;\n",
+      "Epoch 330/1000, Cost: 3.5541\n",
+      " and the parameters are [-2.41708077  3.3349326 ] -4.282967459250315 ;\n",
+      "Epoch 330/1000, Cost: 3.1683\n",
+      " and the parameters are [-2.41705086  3.33498634] -4.282992701767467 ;\n",
+      "Epoch 340/1000, Cost: 4.1876\n",
+      " and the parameters are [-2.43774062  3.36054179] -4.319669540378781 ;\n",
+      "Epoch 340/1000, Cost: 5.7028\n",
+      " and the parameters are [-2.43777682  3.3604307 ] -4.3197388038783044 ;\n",
+      "Epoch 340/1000, Cost: 4.2299\n",
+      " and the parameters are [-2.43779689  3.36043377] -4.319763420750634 ;\n",
+      "Epoch 340/1000, Cost: 4.2049\n",
+      " and the parameters are [-2.43771354  3.36043263] -4.319856630550363 ;\n",
+      "Epoch 340/1000, Cost: 4.3414\n",
+      " and the parameters are [-2.43769914  3.36039569] -4.319936545609316 ;\n",
+      "Epoch 340/1000, Cost: 4.2004\n",
+      " and the parameters are [-2.4377417   3.36052023] -4.319853908704259 ;\n",
+      "Epoch 340/1000, Cost: 1.3657\n",
+      " and the parameters are [-2.43773272  3.36053001] -4.319887730246252 ;\n",
+      "Epoch 340/1000, Cost: 5.0656\n",
+      " and the parameters are [-2.43778681  3.3604362 ] -4.319939035557122 ;\n",
+      "Epoch 340/1000, Cost: 7.1839\n",
+      " and the parameters are [-2.43788038  3.36021047] -4.320063905433393 ;\n",
+      "Epoch 340/1000, Cost: 3.0510\n",
+      " and the parameters are [-2.43790228  3.36010622] -4.320173138994863 ;\n",
+      "Epoch 340/1000, Cost: 2.7310\n",
+      " and the parameters are [-2.43794849  3.36009555] -4.320207032423081 ;\n",
+      "Epoch 340/1000, Cost: 3.3330\n",
+      " and the parameters are [-2.43795073  3.36005607] -4.320270345082487 ;\n",
+      "Epoch 340/1000, Cost: 5.5403\n",
+      " and the parameters are [-2.43797647  3.36011761] -4.320237784242595 ;\n",
+      "Epoch 340/1000, Cost: 2.6913\n",
+      " and the parameters are [-2.43796493  3.36011861] -4.320287580980471 ;\n",
+      "Epoch 340/1000, Cost: 3.8682\n",
+      " and the parameters are [-2.43796271  3.36001702] -4.320422788490612 ;\n",
+      "Epoch 340/1000, Cost: 3.1564\n",
+      " and the parameters are [-2.43792419  3.36017309] -4.320375212542283 ;\n",
+      "Epoch 340/1000, Cost: 2.8838\n",
+      " and the parameters are [-2.43795341  3.36019879] -4.320385998208083 ;\n",
+      "Epoch 340/1000, Cost: 1.6341\n",
+      " and the parameters are [-2.43793177  3.36030088] -4.320360645596432 ;\n",
+      "Epoch 340/1000, Cost: 3.9909\n",
+      " and the parameters are [-2.43800421  3.3602362 ] -4.320405455775585 ;\n",
+      "Epoch 340/1000, Cost: 4.3288\n",
+      " and the parameters are [-2.4380207  3.3603346] -4.320366589608938 ;\n",
+      "Epoch 340/1000, Cost: 4.9016\n",
+      " and the parameters are [-2.43799416  3.36043902] -4.320325788039744 ;\n",
+      "Epoch 340/1000, Cost: 4.7962\n",
+      " and the parameters are [-2.43800784  3.36058323] -4.320238126227445 ;\n",
+      "Epoch 340/1000, Cost: 3.2558\n",
+      " and the parameters are [-2.43800395  3.36060668] -4.320270932546913 ;\n",
+      "Epoch 340/1000, Cost: 2.7888\n",
+      " and the parameters are [-2.43804043  3.3605655 ] -4.3203108077936525 ;\n",
+      "Epoch 340/1000, Cost: 3.8924\n",
+      " and the parameters are [-2.43798775  3.36055229] -4.320376892848276 ;\n",
+      "Epoch 340/1000, Cost: 1.6055\n",
+      " and the parameters are [-2.43797374  3.36063309] -4.320356518365647 ;\n",
+      "Epoch 340/1000, Cost: 4.1449\n",
+      " and the parameters are [-2.43793175  3.36072762] -4.320344338553752 ;\n",
+      "Epoch 340/1000, Cost: 2.6176\n",
+      " and the parameters are [-2.4379071   3.36083663] -4.320320202061854 ;\n",
+      "Epoch 340/1000, Cost: 2.0826\n",
+      " and the parameters are [-2.43796461  3.3608757 ] -4.3203027256095625 ;\n",
+      "Epoch 340/1000, Cost: 2.7013\n",
+      " and the parameters are [-2.4379247   3.36092933] -4.320320296414582 ;\n",
+      "Epoch 340/1000, Cost: 4.4787\n",
+      " and the parameters are [-2.43801794  3.36090702] -4.320336537030313 ;\n",
+      "Epoch 340/1000, Cost: 8.2931\n",
+      " and the parameters are [-2.43805617  3.36093292] -4.3202742217474 ;\n",
+      "Epoch 340/1000, Cost: 1.9178\n",
+      " and the parameters are [-2.43804575  3.36099832] -4.320269457008831 ;\n",
+      "Epoch 340/1000, Cost: 3.9025\n",
+      " and the parameters are [-2.43812267  3.36105809] -4.320220844670045 ;\n",
+      "Epoch 340/1000, Cost: 4.1777\n",
+      " and the parameters are [-2.43811374  3.36102945] -4.320293567549167 ;\n",
+      "Epoch 340/1000, Cost: 1.4140\n",
+      " and the parameters are [-2.43811706  3.36107054] -4.3203027388917645 ;\n",
+      "Epoch 340/1000, Cost: 1.3163\n",
+      " and the parameters are [-2.43809471  3.36111926] -4.3203204048182045 ;\n",
+      "Epoch 340/1000, Cost: 3.9187\n",
+      " and the parameters are [-2.43809543  3.36118417] -4.320319407665539 ;\n",
+      "Epoch 340/1000, Cost: 4.1347\n",
+      " and the parameters are [-2.43812985  3.36121307] -4.320327675151113 ;\n",
+      "Epoch 340/1000, Cost: 2.9146\n",
+      " and the parameters are [-2.43817744  3.36126535] -4.320303686593437 ;\n",
+      "Epoch 340/1000, Cost: 3.9509\n",
+      " and the parameters are [-2.43817805  3.36124774] -4.320353127846026 ;\n",
+      "Epoch 340/1000, Cost: 3.3394\n",
+      " and the parameters are [-2.4381972   3.36131299] -4.3203447052193535 ;\n",
+      "Epoch 340/1000, Cost: 2.9243\n",
+      " and the parameters are [-2.43821603  3.36125754] -4.320412014427456 ;\n",
+      "Epoch 340/1000, Cost: 1.7839\n",
+      " and the parameters are [-2.43820541  3.36134939] -4.32038925772023 ;\n",
+      "Epoch 340/1000, Cost: 2.3483\n",
+      " and the parameters are [-2.43822793  3.36138392] -4.320400240207828 ;\n",
+      "Epoch 340/1000, Cost: 1.7443\n",
+      " and the parameters are [-2.43821148  3.36148154] -4.320370214582758 ;\n",
+      "Epoch 340/1000, Cost: 3.3867\n",
+      " and the parameters are [-2.43819625  3.36156812] -4.3203681059805 ;\n",
+      "Epoch 340/1000, Cost: 3.7182\n",
+      " and the parameters are [-2.43830832  3.36145561] -4.320446364650022 ;\n",
+      "Epoch 340/1000, Cost: 3.0488\n",
+      " and the parameters are [-2.43827855  3.36151959] -4.320451761895526 ;\n",
+      "Epoch 340/1000, Cost: 6.9794\n",
+      " and the parameters are [-2.43823192  3.36153934] -4.320467213017899 ;\n",
+      "Epoch 340/1000, Cost: 4.8382\n",
+      " and the parameters are [-2.43829824  3.36155041] -4.320451936062141 ;\n",
+      "Epoch 340/1000, Cost: 2.3458\n",
+      " and the parameters are [-2.43827247  3.36159564] -4.320479684458299 ;\n",
+      "Epoch 340/1000, Cost: 9.4689\n",
+      " and the parameters are [-2.43838876  3.36147683] -4.320489434565832 ;\n",
+      "Epoch 340/1000, Cost: 3.5514\n",
+      " and the parameters are [-2.43833065  3.36148948] -4.320560768718034 ;\n",
+      "Epoch 340/1000, Cost: 2.1438\n",
+      " and the parameters are [-2.43830285  3.36161446] -4.320529061250774 ;\n",
+      "Epoch 340/1000, Cost: 2.9918\n",
+      " and the parameters are [-2.43828303  3.36171509] -4.32050988899836 ;\n",
+      "Epoch 340/1000, Cost: 2.6767\n",
+      " and the parameters are [-2.43830045  3.36174254] -4.320522877032435 ;\n",
+      "Epoch 340/1000, Cost: 1.2861\n",
+      " and the parameters are [-2.43832326  3.36176388] -4.320527755685403 ;\n",
+      "Epoch 340/1000, Cost: 2.9558\n",
+      " and the parameters are [-2.43835234  3.36184747] -4.320483380768509 ;\n",
+      "Epoch 340/1000, Cost: 2.2006\n",
+      " and the parameters are [-2.4384019   3.36191994] -4.320439189074699 ;\n",
+      "Epoch 340/1000, Cost: 4.4766\n",
+      " and the parameters are [-2.43847353  3.36181594] -4.320518996759683 ;\n",
+      "Epoch 340/1000, Cost: 4.1598\n",
+      " and the parameters are [-2.4384891   3.36177801] -4.3205767532976145 ;\n",
+      "Epoch 340/1000, Cost: 4.0833\n",
+      " and the parameters are [-2.4384867   3.36184555] -4.320574311945957 ;\n",
+      "Epoch 340/1000, Cost: 5.9387\n",
+      " and the parameters are [-2.43851237  3.3618724 ] -4.320544315767597 ;\n",
+      "Epoch 340/1000, Cost: 2.3652\n",
+      " and the parameters are [-2.4384793   3.36196749] -4.320531069153565 ;\n",
+      "Epoch 340/1000, Cost: 2.2565\n",
+      " and the parameters are [-2.43849916  3.3619524 ] -4.320572443236036 ;\n",
+      "Epoch 340/1000, Cost: 2.7172\n",
+      " and the parameters are [-2.43851715  3.36199984] -4.32058185148813 ;\n",
+      "Epoch 340/1000, Cost: 1.9674\n",
+      " and the parameters are [-2.43850666  3.36203491] -4.320607274888229 ;\n",
+      "Epoch 340/1000, Cost: 5.4207\n",
+      " and the parameters are [-2.43855371  3.36196998] -4.320685295300745 ;\n",
+      "Epoch 340/1000, Cost: 3.2478\n",
+      " and the parameters are [-2.43854742  3.36196494] -4.320732673288178 ;\n",
+      "Epoch 340/1000, Cost: 5.1927\n",
+      " and the parameters are [-2.43852937  3.361981  ] -4.3207755154785215 ;\n",
+      "Epoch 340/1000, Cost: 5.8412\n",
+      " and the parameters are [-2.43855483  3.36181896] -4.320907797261641 ;\n",
+      "Epoch 340/1000, Cost: 4.2562\n",
+      " and the parameters are [-2.43862746  3.36164367] -4.321041696374598 ;\n",
+      "Epoch 340/1000, Cost: 6.7899\n",
+      " and the parameters are [-2.43866924  3.36167241] -4.321008681395295 ;\n",
+      "Epoch 340/1000, Cost: 3.0387\n",
+      " and the parameters are [-2.43861764  3.36187316] -4.320917662466974 ;\n",
+      "Epoch 340/1000, Cost: 4.7914\n",
+      " and the parameters are [-2.43859161  3.36198577] -4.3208663269374465 ;\n",
+      "Epoch 340/1000, Cost: 4.5738\n",
+      " and the parameters are [-2.43851749  3.36203394] -4.320869512862456 ;\n",
+      "Epoch 340/1000, Cost: 3.5514\n",
+      " and the parameters are [-2.43849515  3.36211303] -4.320862456860942 ;\n",
+      "Epoch 340/1000, Cost: 3.3919\n",
+      " and the parameters are [-2.43850588  3.36213687] -4.320890456228489 ;\n",
+      "Epoch 340/1000, Cost: 4.5666\n",
+      " and the parameters are [-2.43858489  3.36209675] -4.320927275901595 ;\n",
+      "Epoch 340/1000, Cost: 4.1821\n",
+      " and the parameters are [-2.43863091  3.36199296] -4.321029698084408 ;\n",
+      "Epoch 340/1000, Cost: 3.3122\n",
+      " and the parameters are [-2.43858772  3.36211198] -4.320988247630436 ;\n",
+      "Epoch 340/1000, Cost: 1.2887\n",
+      " and the parameters are [-2.43856422  3.36214849] -4.321006889994489 ;\n",
+      "Epoch 340/1000, Cost: 3.7508\n",
+      " and the parameters are [-2.43859263  3.36208297] -4.321076062907719 ;\n",
+      "Epoch 340/1000, Cost: 3.5467\n",
+      " and the parameters are [-2.43862527  3.36214925] -4.321047973321007 ;\n",
+      "Epoch 340/1000, Cost: 5.1507\n",
+      " and the parameters are [-2.43868958  3.36219287] -4.321011391195316 ;\n",
+      "Epoch 340/1000, Cost: 3.8819\n",
+      " and the parameters are [-2.43872662  3.36220581] -4.321025116554814 ;\n",
+      "Epoch 340/1000, Cost: 5.3802\n",
+      " and the parameters are [-2.43884769  3.36222853] -4.320974557329764 ;\n",
+      "Epoch 340/1000, Cost: 3.2822\n",
+      " and the parameters are [-2.43884813  3.36222062] -4.32101284024873 ;\n",
+      "Epoch 340/1000, Cost: 4.5228\n",
+      " and the parameters are [-2.43887989  3.36217689] -4.321053276976203 ;\n",
+      "Epoch 340/1000, Cost: 1.5015\n",
+      " and the parameters are [-2.43887476  3.36223289] -4.321049041838077 ;\n",
+      "Epoch 340/1000, Cost: 4.0672\n",
+      " and the parameters are [-2.43899883  3.36220895] -4.321013600728041 ;\n",
+      "Epoch 340/1000, Cost: 3.3356\n",
+      " and the parameters are [-2.43900361  3.36215561] -4.321105246038581 ;\n",
+      "Epoch 340/1000, Cost: 2.0236\n",
+      " and the parameters are [-2.43900276  3.36220353] -4.321116979687588 ;\n",
+      "Epoch 340/1000, Cost: 7.4512\n",
+      " and the parameters are [-2.43904016  3.36195654] -4.321319534633993 ;\n",
+      "Epoch 340/1000, Cost: 3.4542\n",
+      " and the parameters are [-2.43908985  3.36196918] -4.32132805925451 ;\n",
+      "Epoch 340/1000, Cost: 5.3232\n",
+      " and the parameters are [-2.43905012  3.36190663] -4.321408906437862 ;\n",
+      "Epoch 340/1000, Cost: 1.5623\n",
+      " and the parameters are [-2.43905074  3.36190605] -4.321453701851133 ;\n",
+      "Epoch 340/1000, Cost: 3.7141\n",
+      " and the parameters are [-2.4390549   3.36199897] -4.321415792115836 ;\n",
+      "Epoch 340/1000, Cost: 1.9306\n",
+      " and the parameters are [-2.43907702  3.36204913] -4.321405609403525 ;\n",
+      "Epoch 340/1000, Cost: 3.0163\n",
+      " and the parameters are [-2.43900548  3.36219256] -4.3213823809647804 ;\n",
+      "Epoch 340/1000, Cost: 3.2883\n",
+      " and the parameters are [-2.43903147  3.36224054] -4.32137359215335 ;\n",
+      "Epoch 340/1000, Cost: 3.1553\n",
+      " and the parameters are [-2.43902913  3.36233053] -4.321344801142657 ;\n",
+      "Epoch 340/1000, Cost: 2.7029\n",
+      " and the parameters are [-2.43897848  3.3624462 ] -4.321313865340335 ;\n",
+      "Epoch 340/1000, Cost: 8.7985\n",
+      " and the parameters are [-2.4390007   3.36251543] -4.321281262685728 ;\n",
+      "Epoch 340/1000, Cost: 3.6832\n",
+      " and the parameters are [-2.43900942  3.36256996] -4.321285075596806 ;\n",
+      "Epoch 340/1000, Cost: 2.2850\n",
+      " and the parameters are [-2.4390523   3.36256646] -4.3213118145253295 ;\n",
+      "Epoch 340/1000, Cost: 3.2000\n",
+      " and the parameters are [-2.43910562  3.36250577] -4.321366934407148 ;\n",
+      "Epoch 340/1000, Cost: 4.1903\n",
+      " and the parameters are [-2.43908944  3.36244619] -4.321471354419558 ;\n",
+      "Epoch 340/1000, Cost: 3.5025\n",
+      " and the parameters are [-2.43902553  3.36244843] -4.32153566419822 ;\n",
+      "Epoch 340/1000, Cost: 4.0330\n",
+      " and the parameters are [-2.43904452  3.36250597] -4.321523884401489 ;\n",
+      "Epoch 340/1000, Cost: 1.8142\n",
+      " and the parameters are [-2.43903866  3.36256581] -4.321520547184739 ;\n",
+      "Epoch 340/1000, Cost: 3.5046\n",
+      " and the parameters are [-2.43894738  3.36257767] -4.321592545116387 ;\n",
+      "Epoch 340/1000, Cost: 1.4137\n",
+      " and the parameters are [-2.43896138  3.36262772] -4.321587995209343 ;\n",
+      "Epoch 340/1000, Cost: 4.2804\n",
+      " and the parameters are [-2.43896728  3.36265825] -4.321593591852835 ;\n",
+      "Epoch 340/1000, Cost: 2.4901\n",
+      " and the parameters are [-2.43894548  3.36268144] -4.321639525134978 ;\n",
+      "Epoch 340/1000, Cost: 3.7613\n",
+      " and the parameters are [-2.43904923  3.36254352] -4.321727295695113 ;\n",
+      "Epoch 340/1000, Cost: 5.0663\n",
+      " and the parameters are [-2.43910699  3.36247344] -4.321797059750216 ;\n",
+      "Epoch 340/1000, Cost: 2.1059\n",
+      " and the parameters are [-2.43909069  3.36251649] -4.321821649175564 ;\n",
+      "Epoch 340/1000, Cost: 6.6688\n",
+      " and the parameters are [-2.43906961  3.36254555] -4.321814790763772 ;\n",
+      "Epoch 340/1000, Cost: 1.8772\n",
+      " and the parameters are [-2.43908522  3.36257252] -4.321825293354741 ;\n",
+      "Epoch 340/1000, Cost: 4.1730\n",
+      " and the parameters are [-2.43906419  3.36246568] -4.321931263435266 ;\n",
+      "Epoch 340/1000, Cost: 2.3288\n",
+      " and the parameters are [-2.43911729  3.36251601] -4.3219102338779205 ;\n",
+      "Epoch 340/1000, Cost: 4.1022\n",
+      " and the parameters are [-2.43908419  3.36261659] -4.321898441358495 ;\n",
+      "Epoch 340/1000, Cost: 1.9443\n",
+      " and the parameters are [-2.43911819  3.36262544] -4.321914714797795 ;\n",
+      "Epoch 340/1000, Cost: 1.9963\n",
+      " and the parameters are [-2.4391865   3.36265871] -4.321899093426495 ;\n",
+      "Epoch 340/1000, Cost: 1.7158\n",
+      " and the parameters are [-2.43918801  3.36264667] -4.321950321420045 ;\n",
+      "Epoch 340/1000, Cost: 3.2687\n",
+      " and the parameters are [-2.43915046  3.36264915] -4.322010292608122 ;\n",
+      "Epoch 340/1000, Cost: 3.0218\n",
+      " and the parameters are [-2.43907543  3.36276428] -4.322013408107124 ;\n",
+      "Epoch 340/1000, Cost: 2.3228\n",
+      " and the parameters are [-2.4391094   3.36279746] -4.322015257435569 ;\n",
+      "Epoch 340/1000, Cost: 3.1233\n",
+      " and the parameters are [-2.43913111  3.36280607] -4.322043445283992 ;\n",
+      "Epoch 340/1000, Cost: 5.3080\n",
+      " and the parameters are [-2.43918604  3.36292136] -4.321948867468618 ;\n",
+      "Epoch 340/1000, Cost: 1.4703\n",
+      " and the parameters are [-2.43919549  3.36293842] -4.321969679991634 ;\n",
+      "Epoch 340/1000, Cost: 6.3397\n",
+      " and the parameters are [-2.439328    3.36283067] -4.32200830416889 ;\n",
+      "Epoch 340/1000, Cost: 3.5425\n",
+      " and the parameters are [-2.4394277   3.36272553] -4.322060912137888 ;\n",
+      "Epoch 340/1000, Cost: 2.1261\n",
+      " and the parameters are [-2.43942908  3.36276377] -4.322076798531038 ;\n",
+      "Epoch 340/1000, Cost: 2.8948\n",
+      " and the parameters are [-2.43939493  3.36279171] -4.322104561441226 ;\n",
+      "Epoch 340/1000, Cost: 4.0157\n",
+      " and the parameters are [-2.43945206  3.36284531] -4.32206879022098 ;\n",
+      "Epoch 340/1000, Cost: 1.7190\n",
+      " and the parameters are [-2.43946112  3.36281809] -4.322121814588794 ;\n",
+      "Epoch 340/1000, Cost: 2.5980\n",
+      " and the parameters are [-2.43947742  3.36276202] -4.322197761109156 ;\n",
+      "Epoch 340/1000, Cost: 4.6836\n",
+      " and the parameters are [-2.43944596  3.36290124] -4.322152848123065 ;\n",
+      "Epoch 340/1000, Cost: 2.8374\n",
+      " and the parameters are [-2.43946538  3.36291821] -4.322181279484537 ;\n",
+      "Epoch 340/1000, Cost: 2.4334\n",
+      " and the parameters are [-2.43952285  3.36288163] -4.3222282649505335 ;\n",
+      "Epoch 340/1000, Cost: 4.8924\n",
+      " and the parameters are [-2.43954034  3.3627595 ] -4.322344200448603 ;\n",
+      "Epoch 340/1000, Cost: 4.1932\n",
+      " and the parameters are [-2.43961248  3.36271747] -4.322376055554323 ;\n",
+      "Epoch 340/1000, Cost: 2.8559\n",
+      " and the parameters are [-2.43960733  3.36281383] -4.32234695882352 ;\n",
+      "Epoch 340/1000, Cost: 3.8708\n",
+      " and the parameters are [-2.43970017  3.36285299] -4.322310131818982 ;\n",
+      "Epoch 340/1000, Cost: 5.3232\n",
+      " and the parameters are [-2.43981617  3.36270406] -4.322384857205406 ;\n",
+      "Epoch 340/1000, Cost: 2.7385\n",
+      " and the parameters are [-2.43982678  3.36273173] -4.322405960536779 ;\n",
+      "Epoch 340/1000, Cost: 3.2451\n",
+      " and the parameters are [-2.43986457  3.36272617] -4.322431913117011 ;\n",
+      "Epoch 340/1000, Cost: 2.6763\n",
+      " and the parameters are [-2.4398592   3.36279784] -4.322415671682253 ;\n",
+      "Epoch 340/1000, Cost: 4.8944\n",
+      " and the parameters are [-2.43984028  3.36275247] -4.322508257126502 ;\n",
+      "Epoch 340/1000, Cost: 2.5673\n",
+      " and the parameters are [-2.43984583  3.36287092] -4.322451678854273 ;\n",
+      "Epoch 340/1000, Cost: 2.4719\n",
+      " and the parameters are [-2.43982515  3.36287192] -4.322506655045899 ;\n",
+      "Epoch 340/1000, Cost: 9.6330\n",
+      " and the parameters are [-2.43980083  3.36284174] -4.322528806758061 ;\n",
+      "Epoch 340/1000, Cost: 2.7087\n",
+      " and the parameters are [-2.43976988  3.36300295] -4.322467870768271 ;\n",
+      "Epoch 340/1000, Cost: 4.4043\n",
+      " and the parameters are [-2.43981803  3.36295903] -4.322519935687058 ;\n",
+      "Epoch 340/1000, Cost: 4.6826\n",
+      " and the parameters are [-2.4398661   3.36281221] -4.322625064687876 ;\n",
+      "Epoch 340/1000, Cost: 2.1570\n",
+      " and the parameters are [-2.43990219  3.36286311] -4.322613826005856 ;\n",
+      "Epoch 340/1000, Cost: 3.4776\n",
+      " and the parameters are [-2.43992714  3.36291576] -4.322609758870877 ;\n",
+      "Epoch 340/1000, Cost: 1.9031\n",
+      " and the parameters are [-2.4399151   3.36294792] -4.322623560288019 ;\n",
+      "Epoch 340/1000, Cost: 3.7901\n",
+      " and the parameters are [-2.43989724  3.36287465] -4.322734516994979 ;\n",
+      "Epoch 340/1000, Cost: 3.9066\n",
+      " and the parameters are [-2.43993594  3.36281194] -4.3228094844076255 ;\n",
+      "Epoch 340/1000, Cost: 4.0601\n",
+      " and the parameters are [-2.44000189  3.36279925] -4.322820416768156 ;\n",
+      "Epoch 340/1000, Cost: 3.2327\n",
+      " and the parameters are [-2.43989917  3.36294792] -4.322817054647901 ;\n",
+      "Epoch 340/1000, Cost: 8.6568\n",
+      " and the parameters are [-2.43990743  3.36294363] -4.322792631511932 ;\n",
+      "Epoch 340/1000, Cost: 4.4851\n",
+      " and the parameters are [-2.43996016  3.36292832] -4.32282473431895 ;\n",
+      "Epoch 340/1000, Cost: 4.1623\n",
+      " and the parameters are [-2.43997004  3.36289967] -4.322906800737804 ;\n",
+      "Epoch 340/1000, Cost: 6.3113\n",
+      " and the parameters are [-2.44006152  3.36283875] -4.322941975191383 ;\n",
+      "Epoch 340/1000, Cost: 3.0724\n",
+      " and the parameters are [-2.44009769  3.3628701 ] -4.322946682856811 ;\n",
+      "Epoch 340/1000, Cost: 2.0009\n",
+      " and the parameters are [-2.44011449  3.36284216] -4.323001053646965 ;\n",
+      "Epoch 340/1000, Cost: 4.0892\n",
+      " and the parameters are [-2.43999934  3.36297961] -4.32301001175538 ;\n",
+      "Epoch 340/1000, Cost: 2.5950\n",
+      " and the parameters are [-2.44001484  3.36299693] -4.323031166997791 ;\n",
+      "Epoch 340/1000, Cost: 2.2070\n",
+      " and the parameters are [-2.44000745  3.36304874] -4.323041874899613 ;\n",
+      "Epoch 340/1000, Cost: 3.5739\n",
+      " and the parameters are [-2.44006229  3.36290994] -4.323157114681488 ;\n",
+      "Epoch 340/1000, Cost: 4.2049\n",
+      " and the parameters are [-2.44004699  3.3629507 ] -4.323170874096033 ;\n",
+      "Epoch 340/1000, Cost: 2.0785\n",
+      " and the parameters are [-2.4400533   3.36292304] -4.323229664555543 ;\n",
+      "Epoch 340/1000, Cost: 4.6159\n",
+      " and the parameters are [-2.43999988  3.36290032] -4.323312561756534 ;\n",
+      "Epoch 340/1000, Cost: 1.8569\n",
+      " and the parameters are [-2.44001206  3.36296941] -4.323283133649166 ;\n",
+      "Epoch 340/1000, Cost: 3.6207\n",
+      " and the parameters are [-2.440007    3.36288996] -4.323385466561488 ;\n",
+      "Epoch 340/1000, Cost: 5.7492\n",
+      " and the parameters are [-2.44001971  3.36282352] -4.32343340181619 ;\n",
+      "Epoch 340/1000, Cost: 3.7133\n",
+      " and the parameters are [-2.4400493   3.36287316] -4.323414404022158 ;\n",
+      "Epoch 340/1000, Cost: 3.5958\n",
+      " and the parameters are [-2.44007801  3.3628132 ] -4.323476439142769 ;\n",
+      "Epoch 340/1000, Cost: 1.9602\n",
+      " and the parameters are [-2.4400789   3.36282336] -4.323507895509803 ;\n",
+      "Epoch 340/1000, Cost: 4.1530\n",
+      " and the parameters are [-2.44011626  3.36277127] -4.323547071832609 ;\n",
+      "Epoch 340/1000, Cost: 2.4130\n",
+      " and the parameters are [-2.44010879  3.36282857] -4.323544949819634 ;\n",
+      "Epoch 340/1000, Cost: 5.0972\n",
+      " and the parameters are [-2.44006297  3.36291235] -4.323543660642008 ;\n",
+      "Epoch 340/1000, Cost: 2.5161\n",
+      " and the parameters are [-2.44007571  3.36299321] -4.32351376332056 ;\n",
+      "Epoch 340/1000, Cost: 5.0075\n",
+      " and the parameters are [-2.44003939  3.36307099] -4.323491457716299 ;\n",
+      "Epoch 340/1000, Cost: 3.5480\n",
+      " and the parameters are [-2.44002745  3.3631158 ] -4.323521858704037 ;\n",
+      "Epoch 340/1000, Cost: 2.5014\n",
+      " and the parameters are [-2.4399963   3.36308718] -4.323598140946221 ;\n",
+      "Epoch 340/1000, Cost: 6.5655\n",
+      " and the parameters are [-2.43993888  3.36301562] -4.323689359192573 ;\n",
+      "Epoch 340/1000, Cost: 3.3388\n",
+      " and the parameters are [-2.43991357  3.36310721] -4.3236763767467865 ;\n",
+      "Epoch 340/1000, Cost: 2.8236\n",
+      " and the parameters are [-2.43996125  3.36310483] -4.3236895594012505 ;\n",
+      "Epoch 340/1000, Cost: 5.4105\n",
+      " and the parameters are [-2.44000606  3.36301138] -4.3237643278909585 ;\n",
+      "Epoch 340/1000, Cost: 3.5975\n",
+      " and the parameters are [-2.43992164  3.36314821] -4.32374993973445 ;\n",
+      "Epoch 340/1000, Cost: 3.6453\n",
+      " and the parameters are [-2.43993423  3.36324522] -4.32368245049088 ;\n",
+      "Epoch 340/1000, Cost: 3.7941\n",
+      " and the parameters are [-2.4399173   3.36326055] -4.323716643846072 ;\n",
+      "Epoch 340/1000, Cost: 2.0144\n",
+      " and the parameters are [-2.43996075  3.36331656] -4.323684872430374 ;\n",
+      "Epoch 340/1000, Cost: 6.2853\n",
+      " and the parameters are [-2.439991    3.36315856] -4.323803241374527 ;\n",
+      "Epoch 350/1000, Cost: 4.5448\n",
+      " and the parameters are [-2.46020093  3.38773104] -4.3597156239561095 ;\n",
+      "Epoch 350/1000, Cost: 3.8486\n",
+      " and the parameters are [-2.46018537  3.38784753] -4.359675456634842 ;\n",
+      "Epoch 350/1000, Cost: 1.2173\n",
+      " and the parameters are [-2.46017924  3.38793059] -4.359652760605459 ;\n",
+      "Epoch 350/1000, Cost: 3.8912\n",
+      " and the parameters are [-2.46028767  3.38783566] -4.359704668069185 ;\n",
+      "Epoch 350/1000, Cost: 3.6405\n",
+      " and the parameters are [-2.46028601  3.38799517] -4.359622967602019 ;\n",
+      "Epoch 350/1000, Cost: 3.2445\n",
+      " and the parameters are [-2.46032424  3.3880071 ] -4.35963668512749 ;\n",
+      "Epoch 350/1000, Cost: 1.4900\n",
+      " and the parameters are [-2.46031781  3.38806872] -4.359632307171898 ;\n",
+      "Epoch 350/1000, Cost: 6.8061\n",
+      " and the parameters are [-2.46035645  3.38804951] -4.359618316541833 ;\n",
+      "Epoch 350/1000, Cost: 4.1615\n",
+      " and the parameters are [-2.46037546  3.38807166] -4.359629083448433 ;\n",
+      "Epoch 350/1000, Cost: 3.3442\n",
+      " and the parameters are [-2.46039666  3.38799459] -4.359704967490898 ;\n",
+      "Epoch 350/1000, Cost: 3.6506\n",
+      " and the parameters are [-2.46044672  3.38796443] -4.35973514651184 ;\n",
+      "Epoch 350/1000, Cost: 5.4449\n",
+      " and the parameters are [-2.46048687  3.3879839 ] -4.359738492742442 ;\n",
+      "Epoch 350/1000, Cost: 4.9922\n",
+      " and the parameters are [-2.46037511  3.3880672 ] -4.35976900999272 ;\n",
+      "Epoch 350/1000, Cost: 3.8842\n",
+      " and the parameters are [-2.46033812  3.38822803] -4.359709560593029 ;\n",
+      "Epoch 350/1000, Cost: 2.7731\n",
+      " and the parameters are [-2.46036523  3.38820379] -4.359759466624053 ;\n",
+      "Epoch 350/1000, Cost: 2.5872\n",
+      " and the parameters are [-2.46043484  3.38822597] -4.359748615652636 ;\n",
+      "Epoch 350/1000, Cost: 3.5788\n",
+      " and the parameters are [-2.46056424  3.38806007] -4.359839894392841 ;\n",
+      "Epoch 350/1000, Cost: 1.6284\n",
+      " and the parameters are [-2.46058374  3.38803959] -4.359884337479912 ;\n",
+      "Epoch 350/1000, Cost: 4.5507\n",
+      " and the parameters are [-2.46061148  3.38802791] -4.35991479821714 ;\n",
+      "Epoch 350/1000, Cost: 3.8463\n",
+      " and the parameters are [-2.46055723  3.38803212] -4.3599832937990834 ;\n",
+      "Epoch 350/1000, Cost: 1.4610\n",
+      " and the parameters are [-2.46054778  3.38810407] -4.359976766320432 ;\n",
+      "Epoch 350/1000, Cost: 2.1641\n",
+      " and the parameters are [-2.46062896  3.38804792] -4.360018982887436 ;\n",
+      "Epoch 350/1000, Cost: 3.9957\n",
+      " and the parameters are [-2.46060374  3.38816788] -4.359973890372705 ;\n",
+      "Epoch 350/1000, Cost: 1.9322\n",
+      " and the parameters are [-2.4606178   3.38814958] -4.360022747744275 ;\n",
+      "Epoch 350/1000, Cost: 2.7668\n",
+      " and the parameters are [-2.46055393  3.38828235] -4.359992838365233 ;\n",
+      "Epoch 350/1000, Cost: 3.8039\n",
+      " and the parameters are [-2.46052876  3.38823621] -4.360062811252337 ;\n",
+      "Epoch 350/1000, Cost: 3.4418\n",
+      " and the parameters are [-2.46055502  3.3882807 ] -4.360065035690931 ;\n",
+      "Epoch 350/1000, Cost: 4.4548\n",
+      " and the parameters are [-2.46060408  3.38837848] -4.360014453364025 ;\n",
+      "Epoch 350/1000, Cost: 3.0704\n",
+      " and the parameters are [-2.460619    3.38835976] -4.360072421817643 ;\n",
+      "Epoch 350/1000, Cost: 4.7125\n",
+      " and the parameters are [-2.46065232  3.38832372] -4.360113694569527 ;\n",
+      "Epoch 350/1000, Cost: 1.6849\n",
+      " and the parameters are [-2.46061628  3.38838155] -4.360125171318305 ;\n",
+      "Epoch 350/1000, Cost: 7.4392\n",
+      " and the parameters are [-2.46053261  3.38854059] -4.36006412190664 ;\n",
+      "Epoch 350/1000, Cost: 3.9797\n",
+      " and the parameters are [-2.46048509  3.38860419] -4.360090513722046 ;\n",
+      "Epoch 350/1000, Cost: 4.6685\n",
+      " and the parameters are [-2.46053862  3.38854094] -4.360127094341818 ;\n",
+      "Epoch 350/1000, Cost: 3.0255\n",
+      " and the parameters are [-2.46054258  3.38856814] -4.3601499986846735 ;\n",
+      "Epoch 350/1000, Cost: 3.2836\n",
+      " and the parameters are [-2.46054649  3.3886344 ] -4.360137296207778 ;\n",
+      "Epoch 350/1000, Cost: 4.7308\n",
+      " and the parameters are [-2.46056343  3.38855528] -4.360226882059413 ;\n",
+      "Epoch 350/1000, Cost: 2.4562\n",
+      " and the parameters are [-2.4606131   3.38863512] -4.3601730934987675 ;\n",
+      "Epoch 350/1000, Cost: 4.1380\n",
+      " and the parameters are [-2.46061941  3.38870764] -4.360156892481602 ;\n",
+      "Epoch 350/1000, Cost: 3.4722\n",
+      " and the parameters are [-2.46066864  3.38872117] -4.3601627341963 ;\n",
+      "Epoch 350/1000, Cost: 3.3868\n",
+      " and the parameters are [-2.46068461  3.38864658] -4.360257784064511 ;\n",
+      "Epoch 350/1000, Cost: 2.7192\n",
+      " and the parameters are [-2.46071649  3.38871312] -4.3602277852964 ;\n",
+      "Epoch 350/1000, Cost: 3.6610\n",
+      " and the parameters are [-2.46076088  3.38866412] -4.360265921247071 ;\n",
+      "Epoch 350/1000, Cost: 4.6914\n",
+      " and the parameters are [-2.46081083  3.38860822] -4.360300800423004 ;\n",
+      "Epoch 350/1000, Cost: 2.3314\n",
+      " and the parameters are [-2.46082479  3.38862291] -4.360323074954693 ;\n",
+      "Epoch 350/1000, Cost: 4.7591\n",
+      " and the parameters are [-2.46076932  3.38857743] -4.360416681803465 ;\n",
+      "Epoch 350/1000, Cost: 2.3105\n",
+      " and the parameters are [-2.46078514  3.38867972] -4.3603706776124875 ;\n",
+      "Epoch 350/1000, Cost: 4.6152\n",
+      " and the parameters are [-2.46085449  3.38868067] -4.360381568361273 ;\n",
+      "Epoch 350/1000, Cost: 2.0878\n",
+      " and the parameters are [-2.46086985  3.38864847] -4.360434456371174 ;\n",
+      "Epoch 350/1000, Cost: 5.2282\n",
+      " and the parameters are [-2.46094569  3.38853828] -4.360518868251807 ;\n",
+      "Epoch 350/1000, Cost: 2.9747\n",
+      " and the parameters are [-2.46088907  3.38863083] -4.360512913023093 ;\n",
+      "Epoch 350/1000, Cost: 2.0217\n",
+      " and the parameters are [-2.46091735  3.38864027] -4.360538646516776 ;\n",
+      "Epoch 350/1000, Cost: 1.5556\n",
+      " and the parameters are [-2.46094072  3.38865177] -4.360556940107167 ;\n",
+      "Epoch 350/1000, Cost: 3.4919\n",
+      " and the parameters are [-2.46092733  3.38876843] -4.360517279440752 ;\n",
+      "Epoch 350/1000, Cost: 3.0050\n",
+      " and the parameters are [-2.460939    3.38880137] -4.3605328997921 ;\n",
+      "Epoch 350/1000, Cost: 5.9262\n",
+      " and the parameters are [-2.46094697  3.38873055] -4.360589634790851 ;\n",
+      "Epoch 350/1000, Cost: 5.9840\n",
+      " and the parameters are [-2.46101514  3.38867641] -4.360603604989587 ;\n",
+      "Epoch 350/1000, Cost: 3.5785\n",
+      " and the parameters are [-2.46097264  3.38869992] -4.360658923985082 ;\n",
+      "Epoch 350/1000, Cost: 5.3700\n",
+      " and the parameters are [-2.46104413  3.38864076] -4.360691886181781 ;\n",
+      "Epoch 350/1000, Cost: 4.0786\n",
+      " and the parameters are [-2.46111427  3.38856822] -4.360749724771653 ;\n",
+      "Epoch 350/1000, Cost: 2.8311\n",
+      " and the parameters are [-2.46117682  3.38845656] -4.360828597645796 ;\n",
+      "Epoch 350/1000, Cost: 3.4966\n",
+      " and the parameters are [-2.46117765  3.38850441] -4.360839237434001 ;\n",
+      "Epoch 350/1000, Cost: 5.6489\n",
+      " and the parameters are [-2.46117048  3.38830951] -4.361014631982765 ;\n",
+      "Epoch 350/1000, Cost: 2.8609\n",
+      " and the parameters are [-2.46118016  3.3883482 ] -4.361026838124595 ;\n",
+      "Epoch 350/1000, Cost: 2.8643\n",
+      " and the parameters are [-2.46121715  3.38826358] -4.3611094554010865 ;\n",
+      "Epoch 350/1000, Cost: 1.8869\n",
+      " and the parameters are [-2.46125438  3.38822918] -4.361145419619785 ;\n",
+      "Epoch 350/1000, Cost: 1.5633\n",
+      " and the parameters are [-2.46127565  3.38821887] -4.361176737545571 ;\n",
+      "Epoch 350/1000, Cost: 2.5157\n",
+      " and the parameters are [-2.4612746   3.38827874] -4.361175521086223 ;\n",
+      "Epoch 350/1000, Cost: 7.5034\n",
+      " and the parameters are [-2.4613585   3.38818296] -4.361213862124517 ;\n",
+      "Epoch 350/1000, Cost: 2.3040\n",
+      " and the parameters are [-2.46129211  3.38825445] -4.361232655287071 ;\n",
+      "Epoch 350/1000, Cost: 5.8457\n",
+      " and the parameters are [-2.46119189  3.38827641] -4.361313509204297 ;\n",
+      "Epoch 350/1000, Cost: 3.9168\n",
+      " and the parameters are [-2.46119197  3.38823334] -4.361387955169816 ;\n",
+      "Epoch 350/1000, Cost: 3.1398\n",
+      " and the parameters are [-2.46128665  3.38813758] -4.361446944977487 ;\n",
+      "Epoch 350/1000, Cost: 2.8402\n",
+      " and the parameters are [-2.46128104  3.38819372] -4.361463349979746 ;\n",
+      "Epoch 350/1000, Cost: 2.6935\n",
+      " and the parameters are [-2.46121684  3.38821077] -4.361525981954483 ;\n",
+      "Epoch 350/1000, Cost: 2.6315\n",
+      " and the parameters are [-2.46119342  3.38821046] -4.361583040604193 ;\n",
+      "Epoch 350/1000, Cost: 3.4320\n",
+      " and the parameters are [-2.46120003  3.38831398] -4.361530356932928 ;\n",
+      "Epoch 350/1000, Cost: 3.7680\n",
+      " and the parameters are [-2.46126946  3.38831896] -4.3615167083379625 ;\n",
+      "Epoch 350/1000, Cost: 2.8463\n",
+      " and the parameters are [-2.46123121  3.38844084] -4.3614772598722285 ;\n",
+      "Epoch 350/1000, Cost: 3.8241\n",
+      " and the parameters are [-2.46124772  3.38843215] -4.3615154047164415 ;\n",
+      "Epoch 350/1000, Cost: 4.8427\n",
+      " and the parameters are [-2.46114739  3.38857049] -4.3614880166541194 ;\n",
+      "Epoch 350/1000, Cost: 2.6984\n",
+      " and the parameters are [-2.46114537  3.38861546] -4.361507941355073 ;\n",
+      "Epoch 350/1000, Cost: 5.1567\n",
+      " and the parameters are [-2.46120414  3.38858841] -4.3615132692991585 ;\n",
+      "Epoch 350/1000, Cost: 3.1575\n",
+      " and the parameters are [-2.46123886  3.38861094] -4.361536140512551 ;\n",
+      "Epoch 350/1000, Cost: 3.7458\n",
+      " and the parameters are [-2.46119882  3.38872495] -4.361513898237321 ;\n",
+      "Epoch 350/1000, Cost: 3.2827\n",
+      " and the parameters are [-2.46119508  3.38875783] -4.361546994947387 ;\n",
+      "Epoch 350/1000, Cost: 1.7871\n",
+      " and the parameters are [-2.46117885  3.38876878] -4.361593224112915 ;\n",
+      "Epoch 350/1000, Cost: 1.1804\n",
+      " and the parameters are [-2.46116813  3.38881844] -4.361593245871302 ;\n",
+      "Epoch 350/1000, Cost: 1.7072\n",
+      " and the parameters are [-2.46117638  3.3888696 ] -4.361587805350447 ;\n",
+      "Epoch 350/1000, Cost: 1.8862\n",
+      " and the parameters are [-2.46116565  3.38892849] -4.361583986641739 ;\n",
+      "Epoch 350/1000, Cost: 2.7585\n",
+      " and the parameters are [-2.461097    3.38907327] -4.361558528712118 ;\n",
+      "Epoch 350/1000, Cost: 8.1306\n",
+      " and the parameters are [-2.46103632  3.3891399 ] -4.361542189700465 ;\n",
+      "Epoch 350/1000, Cost: 2.6226\n",
+      " and the parameters are [-2.46101898  3.38925696] -4.3615037888775285 ;\n",
+      "Epoch 350/1000, Cost: 2.2567\n",
+      " and the parameters are [-2.46101588  3.38925802] -4.361555845625052 ;\n",
+      "Epoch 350/1000, Cost: 4.6612\n",
+      " and the parameters are [-2.46096653  3.38927848] -4.361594152513758 ;\n",
+      "Epoch 350/1000, Cost: 6.0118\n",
+      " and the parameters are [-2.46102275  3.38928384] -4.361602715832726 ;\n",
+      "Epoch 350/1000, Cost: 3.4746\n",
+      " and the parameters are [-2.46098984  3.38940028] -4.3615772404374935 ;\n",
+      "Epoch 350/1000, Cost: 3.7439\n",
+      " and the parameters are [-2.46099967  3.38932695] -4.361667741418958 ;\n",
+      "Epoch 350/1000, Cost: 3.5095\n",
+      " and the parameters are [-2.46094423  3.38946073] -4.361639107336849 ;\n",
+      "Epoch 350/1000, Cost: 4.8449\n",
+      " and the parameters are [-2.46090643  3.38938752] -4.361744823536837 ;\n",
+      "Epoch 350/1000, Cost: 4.5535\n",
+      " and the parameters are [-2.46093844  3.38951035] -4.361684986959027 ;\n",
+      "Epoch 350/1000, Cost: 3.6730\n",
+      " and the parameters are [-2.46099452  3.38953341] -4.361665916610342 ;\n",
+      "Epoch 350/1000, Cost: 3.0026\n",
+      " and the parameters are [-2.46103359  3.3895358 ] -4.361672189989818 ;\n",
+      "Epoch 350/1000, Cost: 6.3624\n",
+      " and the parameters are [-2.46092788  3.38964622] -4.361644768658616 ;\n",
+      "Epoch 350/1000, Cost: 2.4545\n",
+      " and the parameters are [-2.46090277  3.38969176] -4.361672648531749 ;\n",
+      "Epoch 350/1000, Cost: 1.6069\n",
+      " and the parameters are [-2.46090937  3.38977606] -4.361646055418832 ;\n",
+      "Epoch 350/1000, Cost: 5.2574\n",
+      " and the parameters are [-2.46084905  3.38979387] -4.361689073327364 ;\n",
+      "Epoch 350/1000, Cost: 2.8289\n",
+      " and the parameters are [-2.46083877  3.38982364] -4.361724898303885 ;\n",
+      "Epoch 350/1000, Cost: 1.7976\n",
+      " and the parameters are [-2.46084171  3.38981718] -4.361770848035146 ;\n",
+      "Epoch 350/1000, Cost: 2.2708\n",
+      " and the parameters are [-2.46086007  3.38986406] -4.361775773245771 ;\n",
+      "Epoch 350/1000, Cost: 2.5197\n",
+      " and the parameters are [-2.46097491  3.38981656] -4.361786734587041 ;\n",
+      "Epoch 350/1000, Cost: 4.6488\n",
+      " and the parameters are [-2.46101134  3.38968123] -4.361894352257467 ;\n",
+      "Epoch 350/1000, Cost: 2.5880\n",
+      " and the parameters are [-2.46104811  3.38971089] -4.361902764580714 ;\n",
+      "Epoch 350/1000, Cost: 4.4373\n",
+      " and the parameters are [-2.46110533  3.38961537] -4.361986024129632 ;\n",
+      "Epoch 350/1000, Cost: 2.9219\n",
+      " and the parameters are [-2.4611235   3.38964778] -4.36199641856256 ;\n",
+      "Epoch 350/1000, Cost: 6.0406\n",
+      " and the parameters are [-2.46107193  3.3897096 ] -4.361970333646914 ;\n",
+      "Epoch 350/1000, Cost: 6.4236\n",
+      " and the parameters are [-2.4610665  3.3896332] -4.362036258886146 ;\n",
+      "Epoch 350/1000, Cost: 3.6980\n",
+      " and the parameters are [-2.46110588  3.38960811] -4.362057167428968 ;\n",
+      "Epoch 350/1000, Cost: 2.0391\n",
+      " and the parameters are [-2.46114606  3.38963486] -4.362055776236204 ;\n",
+      "Epoch 350/1000, Cost: 3.2753\n",
+      " and the parameters are [-2.46116716  3.38973925] -4.362014685021323 ;\n",
+      "Epoch 350/1000, Cost: 4.0830\n",
+      " and the parameters are [-2.46115998  3.38983027] -4.361985247848381 ;\n",
+      "Epoch 350/1000, Cost: 3.4677\n",
+      " and the parameters are [-2.46118962  3.38983561] -4.361998776695368 ;\n",
+      "Epoch 350/1000, Cost: 1.8338\n",
+      " and the parameters are [-2.46121919  3.38982958] -4.36202272015967 ;\n",
+      "Epoch 350/1000, Cost: 3.9039\n",
+      " and the parameters are [-2.46126372  3.38992976] -4.3619544296893205 ;\n",
+      "Epoch 350/1000, Cost: 4.2063\n",
+      " and the parameters are [-2.46129769  3.38992759] -4.361977429298004 ;\n",
+      "Epoch 350/1000, Cost: 2.0673\n",
+      " and the parameters are [-2.46133323  3.38997961] -4.361959831398441 ;\n",
+      "Epoch 350/1000, Cost: 1.6287\n",
+      " and the parameters are [-2.46136672  3.38994884] -4.36201240432758 ;\n",
+      "Epoch 350/1000, Cost: 2.8834\n",
+      " and the parameters are [-2.46134447  3.39005328] -4.361982582582437 ;\n",
+      "Epoch 350/1000, Cost: 2.3134\n",
+      " and the parameters are [-2.46139383  3.3900556 ] -4.361998715171976 ;\n",
+      "Epoch 350/1000, Cost: 5.5148\n",
+      " and the parameters are [-2.46133858  3.39017285] -4.361945898116467 ;\n",
+      "Epoch 350/1000, Cost: 2.7577\n",
+      " and the parameters are [-2.46137448  3.39020307] -4.361954535597064 ;\n",
+      "Epoch 350/1000, Cost: 3.9602\n",
+      " and the parameters are [-2.461282    3.39024224] -4.361986557386867 ;\n",
+      "Epoch 350/1000, Cost: 6.7316\n",
+      " and the parameters are [-2.46129336  3.39040631] -4.361875847883726 ;\n",
+      "Epoch 350/1000, Cost: 2.4097\n",
+      " and the parameters are [-2.46127076  3.39048991] -4.3618728329020655 ;\n",
+      "Epoch 350/1000, Cost: 3.8331\n",
+      " and the parameters are [-2.46124775  3.39049997] -4.36192386736724 ;\n",
+      "Epoch 350/1000, Cost: 3.1134\n",
+      " and the parameters are [-2.46133103  3.39036701] -4.362028882754109 ;\n",
+      "Epoch 350/1000, Cost: 1.6535\n",
+      " and the parameters are [-2.46131856  3.39043437] -4.362023210109642 ;\n",
+      "Epoch 350/1000, Cost: 3.8180\n",
+      " and the parameters are [-2.46142208  3.39033699] -4.362087148896593 ;\n",
+      "Epoch 350/1000, Cost: 3.4814\n",
+      " and the parameters are [-2.46145566  3.39028319] -4.362160930487815 ;\n",
+      "Epoch 350/1000, Cost: 4.9467\n",
+      " and the parameters are [-2.46151977  3.39011941] -4.362275645428649 ;\n",
+      "Epoch 350/1000, Cost: 3.4872\n",
+      " and the parameters are [-2.46154959  3.39006372] -4.36234779863586 ;\n",
+      "Epoch 350/1000, Cost: 1.8782\n",
+      " and the parameters are [-2.4615357   3.39008569] -4.362376902016186 ;\n",
+      "Epoch 350/1000, Cost: 5.6873\n",
+      " and the parameters are [-2.46153822  3.39017331] -4.362332252529633 ;\n",
+      "Epoch 350/1000, Cost: 2.2237\n",
+      " and the parameters are [-2.46152482  3.39024819] -4.362330921056348 ;\n",
+      "Epoch 350/1000, Cost: 5.8576\n",
+      " and the parameters are [-2.46152368  3.39015204] -4.3624437576247015 ;\n",
+      "Epoch 350/1000, Cost: 1.6383\n",
+      " and the parameters are [-2.46152868  3.39019632] -4.362442988654994 ;\n",
+      "Epoch 350/1000, Cost: 2.7899\n",
+      " and the parameters are [-2.46150679  3.39022341] -4.362478881011983 ;\n",
+      "Epoch 350/1000, Cost: 3.5519\n",
+      " and the parameters are [-2.4615444   3.39025768] -4.36247166133004 ;\n",
+      "Epoch 350/1000, Cost: 1.2759\n",
+      " and the parameters are [-2.46152961  3.3903074 ] -4.362481906905329 ;\n",
+      "Epoch 350/1000, Cost: 4.7630\n",
+      " and the parameters are [-2.46151368  3.39050434] -4.362373549747961 ;\n",
+      "Epoch 350/1000, Cost: 3.5484\n",
+      " and the parameters are [-2.46142808  3.39056361] -4.362409524999714 ;\n",
+      "Epoch 350/1000, Cost: 2.8578\n",
+      " and the parameters are [-2.46142651  3.39065167] -4.362379853758214 ;\n",
+      "Epoch 350/1000, Cost: 6.5352\n",
+      " and the parameters are [-2.46146134  3.39060568] -4.362418959427938 ;\n",
+      "Epoch 350/1000, Cost: 2.5128\n",
+      " and the parameters are [-2.46151816  3.3905935 ] -4.362437463236001 ;\n",
+      "Epoch 350/1000, Cost: 3.5418\n",
+      " and the parameters are [-2.46155134  3.39049632] -4.36253171887056 ;\n",
+      "Epoch 350/1000, Cost: 8.2903\n",
+      " and the parameters are [-2.4616071   3.39059391] -4.36241934484528 ;\n",
+      "Epoch 350/1000, Cost: 5.4097\n",
+      " and the parameters are [-2.4616865   3.39053175] -4.362468828760331 ;\n",
+      "Epoch 350/1000, Cost: 1.9982\n",
+      " and the parameters are [-2.46172239  3.39055507] -4.362482744151377 ;\n",
+      "Epoch 350/1000, Cost: 4.7463\n",
+      " and the parameters are [-2.461655    3.39050559] -4.3625608963603355 ;\n",
+      "Epoch 350/1000, Cost: 3.2713\n",
+      " and the parameters are [-2.46165124  3.39048699] -4.362611436630926 ;\n",
+      "Epoch 350/1000, Cost: 3.9528\n",
+      " and the parameters are [-2.46160337  3.3906216 ] -4.3625722634803 ;\n",
+      "Epoch 350/1000, Cost: 4.0163\n",
+      " and the parameters are [-2.46160042  3.39060326] -4.362617194170328 ;\n",
+      "Epoch 350/1000, Cost: 2.9964\n",
+      " and the parameters are [-2.46165407  3.39063115] -4.362608469332249 ;\n",
+      "Epoch 350/1000, Cost: 1.4318\n",
+      " and the parameters are [-2.4616782   3.39064232] -4.362626290425112 ;\n",
+      "Epoch 350/1000, Cost: 2.5717\n",
+      " and the parameters are [-2.46169762  3.39072106] -4.362595231108482 ;\n",
+      "Epoch 350/1000, Cost: 6.2243\n",
+      " and the parameters are [-2.46169521  3.39061857] -4.362679025132797 ;\n",
+      "Epoch 350/1000, Cost: 2.5472\n",
+      " and the parameters are [-2.46174398  3.39061093] -4.3627105754012785 ;\n",
+      "Epoch 350/1000, Cost: 3.6724\n",
+      " and the parameters are [-2.46175617  3.39053953] -4.362793612694537 ;\n",
+      "Epoch 350/1000, Cost: 5.1067\n",
+      " and the parameters are [-2.46169512  3.39067524] -4.362753962432623 ;\n",
+      "Epoch 350/1000, Cost: 3.0585\n",
+      " and the parameters are [-2.46166987  3.39073289] -4.362774440897978 ;\n",
+      "Epoch 350/1000, Cost: 3.6604\n",
+      " and the parameters are [-2.46180503  3.39067118] -4.362767396099055 ;\n",
+      "Epoch 350/1000, Cost: 2.7176\n",
+      " and the parameters are [-2.46178821  3.390729  ] -4.3627751707570726 ;\n",
+      "Epoch 350/1000, Cost: 4.0754\n",
+      " and the parameters are [-2.46184183  3.39075122] -4.362766244962769 ;\n",
+      "Epoch 350/1000, Cost: 6.5801\n",
+      " and the parameters are [-2.46192741  3.39064183] -4.362801558943625 ;\n",
+      "Epoch 350/1000, Cost: 6.1755\n",
+      " and the parameters are [-2.46194299  3.39074033] -4.362715771814832 ;\n",
+      "Epoch 350/1000, Cost: 4.0585\n",
+      " and the parameters are [-2.46193637  3.3907657 ] -4.362735235707174 ;\n",
+      "Epoch 350/1000, Cost: 3.8879\n",
+      " and the parameters are [-2.46198761  3.39065808] -4.362822485971839 ;\n",
+      "Epoch 350/1000, Cost: 2.9689\n",
+      " and the parameters are [-2.46193474  3.39073909] -4.362838283965612 ;\n",
+      "Epoch 350/1000, Cost: 3.9043\n",
+      " and the parameters are [-2.46193652  3.39067073] -4.3629224241452995 ;\n",
+      "Epoch 350/1000, Cost: 5.9090\n",
+      " and the parameters are [-2.46206502  3.3903898 ] -4.363085160114037 ;\n",
+      "Epoch 350/1000, Cost: 3.5661\n",
+      " and the parameters are [-2.46213116  3.39037022] -4.3631100742263 ;\n",
+      "Epoch 350/1000, Cost: 10.1652\n",
+      " and the parameters are [-2.46215804  3.39007672] -4.36328775061412 ;\n",
+      "Epoch 350/1000, Cost: 3.0724\n",
+      " and the parameters are [-2.46220194  3.39011107] -4.363268052452706 ;\n",
+      "Epoch 350/1000, Cost: 4.8607\n",
+      " and the parameters are [-2.46224139  3.39004191] -4.363321913218411 ;\n",
+      "Epoch 350/1000, Cost: 3.3202\n",
+      " and the parameters are [-2.46227583  3.39008733] -4.363310281978388 ;\n",
+      "Epoch 350/1000, Cost: 2.2849\n",
+      " and the parameters are [-2.46228719  3.39012794] -4.363321134552981 ;\n",
+      "Epoch 350/1000, Cost: 2.8447\n",
+      " and the parameters are [-2.46226607  3.39013944] -4.363371907862678 ;\n",
+      "Epoch 350/1000, Cost: 3.0229\n",
+      " and the parameters are [-2.46223473  3.39024153] -4.363345831709216 ;\n",
+      "Epoch 350/1000, Cost: 6.5544\n",
+      " and the parameters are [-2.46231882  3.39026912] -4.363303770045436 ;\n",
+      "Epoch 350/1000, Cost: 3.8097\n",
+      " and the parameters are [-2.46228298  3.39031612] -4.363332533801085 ;\n",
+      "Epoch 350/1000, Cost: 2.7198\n",
+      " and the parameters are [-2.46228585  3.39033187] -4.363368668176479 ;\n",
+      "Epoch 350/1000, Cost: 2.7831\n",
+      " and the parameters are [-2.46231157  3.39030786] -4.363412668712695 ;\n",
+      "Epoch 350/1000, Cost: 3.5341\n",
+      " and the parameters are [-2.46235845  3.39025299] -4.363473054921619 ;\n",
+      "Epoch 350/1000, Cost: 2.1607\n",
+      " and the parameters are [-2.46234072  3.39031847] -4.3634831776676615 ;\n",
+      "Epoch 350/1000, Cost: 1.9272\n",
+      " and the parameters are [-2.46237267  3.39035452] -4.363480808477778 ;\n",
+      "Epoch 350/1000, Cost: 2.3255\n",
+      " and the parameters are [-2.46234002  3.39039882] -4.36351284334506 ;\n",
+      "Epoch 350/1000, Cost: 3.7911\n",
+      " and the parameters are [-2.46236398  3.39037403] -4.363559244597458 ;\n",
+      "Epoch 350/1000, Cost: 3.7472\n",
+      " and the parameters are [-2.4623939  3.3903945] -4.363560443785627 ;\n",
+      "Epoch 350/1000, Cost: 3.1910\n",
+      " and the parameters are [-2.46237783  3.39044261] -4.3635784447075 ;\n",
+      "Epoch 350/1000, Cost: 2.4671\n",
+      " and the parameters are [-2.46234238  3.39053476] -4.363567592229224 ;\n",
+      "Epoch 360/1000, Cost: 1.7725\n",
+      " and the parameters are [-2.48196174  3.41462144] -4.3984934555337 ;\n",
+      "Epoch 360/1000, Cost: 3.3558\n",
+      " and the parameters are [-2.48196226  3.4146332 ] -4.39853602610245 ;\n",
+      "Epoch 360/1000, Cost: 4.1274\n",
+      " and the parameters are [-2.48196748  3.41463447] -4.398589923547359 ;\n",
+      "Epoch 360/1000, Cost: 5.5002\n",
+      " and the parameters are [-2.48203167  3.41463103] -4.3985877347590465 ;\n",
+      "Epoch 360/1000, Cost: 4.5356\n",
+      " and the parameters are [-2.48198928  3.41473763] -4.398527108955269 ;\n",
+      "Epoch 360/1000, Cost: 1.9130\n",
+      " and the parameters are [-2.48204373  3.41473016] -4.398539008461974 ;\n",
+      "Epoch 360/1000, Cost: 4.3384\n",
+      " and the parameters are [-2.48210236  3.41470685] -4.398561300681824 ;\n",
+      "Epoch 360/1000, Cost: 4.6987\n",
+      " and the parameters are [-2.48211661  3.41464015] -4.398625603632238 ;\n",
+      "Epoch 360/1000, Cost: 2.0699\n",
+      " and the parameters are [-2.48208314  3.41478505] -4.398584969619767 ;\n",
+      "Epoch 360/1000, Cost: 7.3723\n",
+      " and the parameters are [-2.48197369  3.41487883] -4.39856708109566 ;\n",
+      "Epoch 360/1000, Cost: 9.5212\n",
+      " and the parameters are [-2.4821821   3.41465755] -4.398620484242946 ;\n",
+      "Epoch 360/1000, Cost: 8.1399\n",
+      " and the parameters are [-2.48218849  3.41472001] -4.398586377926877 ;\n",
+      "Epoch 360/1000, Cost: 2.2877\n",
+      " and the parameters are [-2.48218438  3.41484831] -4.398534572907728 ;\n",
+      "Epoch 360/1000, Cost: 2.6654\n",
+      " and the parameters are [-2.48225985  3.41482931] -4.398542092598304 ;\n",
+      "Epoch 360/1000, Cost: 4.8208\n",
+      " and the parameters are [-2.48219143  3.41492553] -4.398547390971992 ;\n",
+      "Epoch 360/1000, Cost: 3.9506\n",
+      " and the parameters are [-2.48216003  3.41496906] -4.398576234619884 ;\n",
+      "Epoch 360/1000, Cost: 2.9218\n",
+      " and the parameters are [-2.48216726  3.41497568] -4.3986099663471006 ;\n",
+      "Epoch 360/1000, Cost: 4.2902\n",
+      " and the parameters are [-2.48207869  3.41506634] -4.398612668637373 ;\n",
+      "Epoch 360/1000, Cost: 6.0983\n",
+      " and the parameters are [-2.48203876  3.4150078 ] -4.398690098750104 ;\n",
+      "Epoch 360/1000, Cost: 3.7683\n",
+      " and the parameters are [-2.48204614  3.41499917] -4.398736101974374 ;\n",
+      "Epoch 360/1000, Cost: 9.5863\n",
+      " and the parameters are [-2.4821601   3.41464425] -4.398931772131045 ;\n",
+      "Epoch 360/1000, Cost: 3.7022\n",
+      " and the parameters are [-2.4821302   3.41468819] -4.398960367158426 ;\n",
+      "Epoch 360/1000, Cost: 6.0218\n",
+      " and the parameters are [-2.48218404  3.4145948 ] -4.399000887875041 ;\n",
+      "Epoch 360/1000, Cost: 2.0441\n",
+      " and the parameters are [-2.48216436  3.41462406] -4.399029610424268 ;\n",
+      "Epoch 360/1000, Cost: 2.0263\n",
+      " and the parameters are [-2.48215457  3.41461951] -4.399063489037206 ;\n",
+      "Epoch 360/1000, Cost: 3.8093\n",
+      " and the parameters are [-2.48210338  3.41477335] -4.399029388154252 ;\n",
+      "Epoch 360/1000, Cost: 3.8628\n",
+      " and the parameters are [-2.48214559  3.41472212] -4.399110585952731 ;\n",
+      "Epoch 360/1000, Cost: 2.2403\n",
+      " and the parameters are [-2.48216074  3.41469166] -4.399164948538913 ;\n",
+      "Epoch 360/1000, Cost: 8.2664\n",
+      " and the parameters are [-2.48214313  3.41470279] -4.399144996035829 ;\n",
+      "Epoch 360/1000, Cost: 2.8764\n",
+      " and the parameters are [-2.48211123  3.41473615] -4.399179998178455 ;\n",
+      "Epoch 360/1000, Cost: 9.0541\n",
+      " and the parameters are [-2.48209008  3.41463782] -4.399270262480651 ;\n",
+      "Epoch 360/1000, Cost: 0.9278\n",
+      " and the parameters are [-2.48210482  3.41464665] -4.399285831971469 ;\n",
+      "Epoch 360/1000, Cost: 1.5024\n",
+      " and the parameters are [-2.48211874  3.4147107 ] -4.399265503323389 ;\n",
+      "Epoch 360/1000, Cost: 5.2158\n",
+      " and the parameters are [-2.4821471   3.41474659] -4.399271665942178 ;\n",
+      "Epoch 360/1000, Cost: 1.6575\n",
+      " and the parameters are [-2.4821526   3.41477419] -4.399290023657687 ;\n",
+      "Epoch 360/1000, Cost: 5.4250\n",
+      " and the parameters are [-2.48210469  3.41486082] -4.399258533305433 ;\n",
+      "Epoch 360/1000, Cost: 1.8349\n",
+      " and the parameters are [-2.48210313  3.41488733] -4.399277071228531 ;\n",
+      "Epoch 360/1000, Cost: 1.8924\n",
+      " and the parameters are [-2.48212674  3.414897  ] -4.399295749487782 ;\n",
+      "Epoch 360/1000, Cost: 5.0119\n",
+      " and the parameters are [-2.48210187  3.41492486] -4.3993140516722145 ;\n",
+      "Epoch 360/1000, Cost: 3.2649\n",
+      " and the parameters are [-2.48202011  3.4150551 ] -4.399299262552514 ;\n",
+      "Epoch 360/1000, Cost: 2.6704\n",
+      " and the parameters are [-2.48202107  3.41513048] -4.3992676853434105 ;\n",
+      "Epoch 360/1000, Cost: 4.6825\n",
+      " and the parameters are [-2.48197655  3.41515666] -4.399303988671867 ;\n",
+      "Epoch 360/1000, Cost: 2.9971\n",
+      " and the parameters are [-2.48199854  3.4151623 ] -4.399339657910239 ;\n",
+      "Epoch 360/1000, Cost: 4.1229\n",
+      " and the parameters are [-2.48197143  3.41530135] -4.399294745766143 ;\n",
+      "Epoch 360/1000, Cost: 1.8379\n",
+      " and the parameters are [-2.4819627   3.41530942] -4.399338716792813 ;\n",
+      "Epoch 360/1000, Cost: 2.9118\n",
+      " and the parameters are [-2.4819793   3.41527043] -4.399387273646386 ;\n",
+      "Epoch 360/1000, Cost: 2.8782\n",
+      " and the parameters are [-2.48201471  3.41533001] -4.399375178647033 ;\n",
+      "Epoch 360/1000, Cost: 1.5556\n",
+      " and the parameters are [-2.48204302  3.41533034] -4.399400666549409 ;\n",
+      "Epoch 360/1000, Cost: 3.3264\n",
+      " and the parameters are [-2.48196401  3.41538155] -4.399449039871032 ;\n",
+      "Epoch 360/1000, Cost: 1.9987\n",
+      " and the parameters are [-2.4819927   3.41543871] -4.399422711210267 ;\n",
+      "Epoch 360/1000, Cost: 1.5506\n",
+      " and the parameters are [-2.48199104  3.41544719] -4.399453085266164 ;\n",
+      "Epoch 360/1000, Cost: 2.2178\n",
+      " and the parameters are [-2.48205024  3.41548618] -4.3994340821709015 ;\n",
+      "Epoch 360/1000, Cost: 4.9126\n",
+      " and the parameters are [-2.48213434  3.41541828] -4.399452223024251 ;\n",
+      "Epoch 360/1000, Cost: 3.8329\n",
+      " and the parameters are [-2.48206849  3.41542519] -4.399531801907368 ;\n",
+      "Epoch 360/1000, Cost: 3.9116\n",
+      " and the parameters are [-2.48212712  3.41531149] -4.399614045828234 ;\n",
+      "Epoch 360/1000, Cost: 4.8382\n",
+      " and the parameters are [-2.48214543  3.41516441] -4.399744399425345 ;\n",
+      "Epoch 360/1000, Cost: 3.5125\n",
+      " and the parameters are [-2.48218629  3.41515379] -4.399772879241682 ;\n",
+      "Epoch 360/1000, Cost: 2.9328\n",
+      " and the parameters are [-2.48225828  3.41517508] -4.399764628888319 ;\n",
+      "Epoch 360/1000, Cost: 2.8474\n",
+      " and the parameters are [-2.48224027  3.41520506] -4.399790737720689 ;\n",
+      "Epoch 360/1000, Cost: 2.8693\n",
+      " and the parameters are [-2.48225537  3.41516774] -4.399847569993207 ;\n",
+      "Epoch 360/1000, Cost: 5.3155\n",
+      " and the parameters are [-2.48225161  3.41515372] -4.399871737226702 ;\n",
+      "Epoch 360/1000, Cost: 2.8925\n",
+      " and the parameters are [-2.48222825  3.41512433] -4.399947202002255 ;\n",
+      "Epoch 360/1000, Cost: 2.9403\n",
+      " and the parameters are [-2.48226809  3.41521921] -4.399895690910576 ;\n",
+      "Epoch 360/1000, Cost: 1.7062\n",
+      " and the parameters are [-2.48229409  3.41523637] -4.399905692236088 ;\n",
+      "Epoch 360/1000, Cost: 3.0890\n",
+      " and the parameters are [-2.48231603  3.41529345] -4.399887649523505 ;\n",
+      "Epoch 360/1000, Cost: 3.7735\n",
+      " and the parameters are [-2.48228937  3.41534089] -4.399908191352195 ;\n",
+      "Epoch 360/1000, Cost: 6.0063\n",
+      " and the parameters are [-2.48225401  3.41539692] -4.399894368472559 ;\n",
+      "Epoch 360/1000, Cost: 2.0302\n",
+      " and the parameters are [-2.48229249  3.41541225] -4.399899026115318 ;\n",
+      "Epoch 360/1000, Cost: 2.9041\n",
+      " and the parameters are [-2.48232559  3.41551691] -4.399846201072146 ;\n",
+      "Epoch 360/1000, Cost: 2.5279\n",
+      " and the parameters are [-2.48223674  3.4156011 ] -4.399864616352612 ;\n",
+      "Epoch 360/1000, Cost: 1.9936\n",
+      " and the parameters are [-2.48226806  3.41557062] -4.399913091701513 ;\n",
+      "Epoch 360/1000, Cost: 2.4971\n",
+      " and the parameters are [-2.48228009  3.41567668] -4.39985541990456 ;\n",
+      "Epoch 360/1000, Cost: 5.0415\n",
+      " and the parameters are [-2.4823193   3.41561306] -4.39993101492107 ;\n",
+      "Epoch 360/1000, Cost: 2.2592\n",
+      " and the parameters are [-2.48235771  3.4156466 ] -4.399930289949491 ;\n",
+      "Epoch 360/1000, Cost: 2.9422\n",
+      " and the parameters are [-2.48235788  3.41559008] -4.400029363188487 ;\n",
+      "Epoch 360/1000, Cost: 2.7754\n",
+      " and the parameters are [-2.48243537  3.41554448] -4.400063480751178 ;\n",
+      "Epoch 360/1000, Cost: 4.0251\n",
+      " and the parameters are [-2.48241128  3.41559363] -4.400079293481045 ;\n",
+      "Epoch 360/1000, Cost: 2.7433\n",
+      " and the parameters are [-2.48235201  3.41564395] -4.4001080352994935 ;\n",
+      "Epoch 360/1000, Cost: 2.0228\n",
+      " and the parameters are [-2.48236296  3.41561798] -4.400158754161494 ;\n",
+      "Epoch 360/1000, Cost: 2.6342\n",
+      " and the parameters are [-2.48236101  3.4156864 ] -4.400158955736866 ;\n",
+      "Epoch 360/1000, Cost: 3.8362\n",
+      " and the parameters are [-2.48238957  3.41574659] -4.4001492998007645 ;\n",
+      "Epoch 360/1000, Cost: 5.4877\n",
+      " and the parameters are [-2.48247458  3.41567294] -4.4001890914132495 ;\n",
+      "Epoch 360/1000, Cost: 2.8995\n",
+      " and the parameters are [-2.48251495  3.41563716] -4.400240533384543 ;\n",
+      "Epoch 360/1000, Cost: 4.2744\n",
+      " and the parameters are [-2.48252792  3.41562843] -4.4002734248403925 ;\n",
+      "Epoch 360/1000, Cost: 1.5254\n",
+      " and the parameters are [-2.48251123  3.415725  ] -4.400236622289789 ;\n",
+      "Epoch 360/1000, Cost: 3.3306\n",
+      " and the parameters are [-2.48259249  3.41572226] -4.400234044199249 ;\n",
+      "Epoch 360/1000, Cost: 3.2629\n",
+      " and the parameters are [-2.4825738   3.41573383] -4.400259162861055 ;\n",
+      "Epoch 360/1000, Cost: 3.3355\n",
+      " and the parameters are [-2.48265623  3.41585791] -4.400157976061455 ;\n",
+      "Epoch 360/1000, Cost: 2.6711\n",
+      " and the parameters are [-2.48266078  3.41587022] -4.400195238736159 ;\n",
+      "Epoch 360/1000, Cost: 1.8788\n",
+      " and the parameters are [-2.48268677  3.4159257 ] -4.400183780202511 ;\n",
+      "Epoch 360/1000, Cost: 2.5179\n",
+      " and the parameters are [-2.48272435  3.41587828] -4.4002443234445145 ;\n",
+      "Epoch 360/1000, Cost: 2.7822\n",
+      " and the parameters are [-2.48275662  3.4159445 ] -4.400218465832717 ;\n",
+      "Epoch 360/1000, Cost: 1.6170\n",
+      " and the parameters are [-2.48279368  3.41597648] -4.400208340347718 ;\n",
+      "Epoch 360/1000, Cost: 4.1089\n",
+      " and the parameters are [-2.48266733  3.4160237 ] -4.40027574139641 ;\n",
+      "Epoch 360/1000, Cost: 5.7986\n",
+      " and the parameters are [-2.48270109  3.4159345 ] -4.4003619066793895 ;\n",
+      "Epoch 360/1000, Cost: 3.4660\n",
+      " and the parameters are [-2.48276057  3.41588752] -4.400400307424098 ;\n",
+      "Epoch 360/1000, Cost: 2.6834\n",
+      " and the parameters are [-2.48279364  3.41584666] -4.400462866595003 ;\n",
+      "Epoch 360/1000, Cost: 5.7045\n",
+      " and the parameters are [-2.48286649  3.41581107] -4.400479815271165 ;\n",
+      "Epoch 360/1000, Cost: 6.3551\n",
+      " and the parameters are [-2.48279844  3.41589089] -4.400487083854969 ;\n",
+      "Epoch 360/1000, Cost: 2.7998\n",
+      " and the parameters are [-2.48284417  3.4158768 ] -4.4005193383847665 ;\n",
+      "Epoch 360/1000, Cost: 1.7936\n",
+      " and the parameters are [-2.48284056  3.41596134] -4.4005020927058665 ;\n",
+      "Epoch 360/1000, Cost: 3.4041\n",
+      " and the parameters are [-2.48277867  3.41600258] -4.400545140600225 ;\n",
+      "Epoch 360/1000, Cost: 3.0651\n",
+      " and the parameters are [-2.48270976  3.41608225] -4.400552559819943 ;\n",
+      "Epoch 360/1000, Cost: 3.4315\n",
+      " and the parameters are [-2.48273396  3.41608814] -4.400563573022248 ;\n",
+      "Epoch 360/1000, Cost: 4.1836\n",
+      " and the parameters are [-2.4826397   3.41608918] -4.400622988969382 ;\n",
+      "Epoch 360/1000, Cost: 1.7789\n",
+      " and the parameters are [-2.48265391  3.41609754] -4.40064542026105 ;\n",
+      "Epoch 360/1000, Cost: 2.5734\n",
+      " and the parameters are [-2.4826649   3.41614539] -4.40064355902845 ;\n",
+      "Epoch 360/1000, Cost: 4.6589\n",
+      " and the parameters are [-2.48264529  3.41620767] -4.400653493457426 ;\n",
+      "Epoch 360/1000, Cost: 4.0401\n",
+      " and the parameters are [-2.48271433  3.41613585] -4.400691866572855 ;\n",
+      "Epoch 360/1000, Cost: 3.7958\n",
+      " and the parameters are [-2.48278055  3.41620141] -4.400644218712132 ;\n",
+      "Epoch 360/1000, Cost: 7.0956\n",
+      " and the parameters are [-2.48291538  3.41612908] -4.400653688173433 ;\n",
+      "Epoch 360/1000, Cost: 2.6368\n",
+      " and the parameters are [-2.48290344  3.41619023] -4.4006571237568375 ;\n",
+      "Epoch 360/1000, Cost: 4.9626\n",
+      " and the parameters are [-2.48288721  3.4161484 ] -4.400728321738032 ;\n",
+      "Epoch 360/1000, Cost: 2.0616\n",
+      " and the parameters are [-2.48289962  3.41612109] -4.400782304762764 ;\n",
+      "Epoch 360/1000, Cost: 6.1918\n",
+      " and the parameters are [-2.4829473   3.41612013] -4.400760662150741 ;\n",
+      "Epoch 360/1000, Cost: 3.1965\n",
+      " and the parameters are [-2.48302193  3.41603258] -4.400810930274843 ;\n",
+      "Epoch 360/1000, Cost: 1.7030\n",
+      " and the parameters are [-2.48306505  3.4161268 ] -4.400752798039713 ;\n",
+      "Epoch 360/1000, Cost: 3.6404\n",
+      " and the parameters are [-2.48306857  3.41622285] -4.400690592883893 ;\n",
+      "Epoch 360/1000, Cost: 2.9243\n",
+      " and the parameters are [-2.48307954  3.41626055] -4.400701493811514 ;\n",
+      "Epoch 360/1000, Cost: 5.6400\n",
+      " and the parameters are [-2.48304485  3.41633897] -4.400696950557264 ;\n",
+      "Epoch 360/1000, Cost: 3.6481\n",
+      " and the parameters are [-2.48300273  3.41637331] -4.40073594479491 ;\n",
+      "Epoch 360/1000, Cost: 2.3874\n",
+      " and the parameters are [-2.48304651  3.4163629 ] -4.400757316609499 ;\n",
+      "Epoch 360/1000, Cost: 2.7179\n",
+      " and the parameters are [-2.48303786  3.41641469] -4.400756802922968 ;\n",
+      "Epoch 360/1000, Cost: 7.0601\n",
+      " and the parameters are [-2.48297559  3.41653441] -4.400722944906276 ;\n",
+      "Epoch 360/1000, Cost: 3.0632\n",
+      " and the parameters are [-2.48304726  3.41646872] -4.400764797232596 ;\n",
+      "Epoch 360/1000, Cost: 2.6077\n",
+      " and the parameters are [-2.48306597  3.41649783] -4.400775598804126 ;\n",
+      "Epoch 360/1000, Cost: 5.0060\n",
+      " and the parameters are [-2.48302868  3.41656498] -4.400777934188434 ;\n",
+      "Epoch 360/1000, Cost: 2.1366\n",
+      " and the parameters are [-2.48305531  3.41663556] -4.4007368108988425 ;\n",
+      "Epoch 360/1000, Cost: 4.5643\n",
+      " and the parameters are [-2.48299079  3.41676822] -4.400712902868362 ;\n",
+      "Epoch 360/1000, Cost: 2.3116\n",
+      " and the parameters are [-2.48303528  3.41675838] -4.400739435260076 ;\n",
+      "Epoch 360/1000, Cost: 2.5335\n",
+      " and the parameters are [-2.48309146  3.41675589] -4.400745732930426 ;\n",
+      "Epoch 360/1000, Cost: 3.8540\n",
+      " and the parameters are [-2.48310485  3.41674116] -4.40077752609629 ;\n",
+      "Epoch 360/1000, Cost: 6.2673\n",
+      " and the parameters are [-2.48312182  3.41664579] -4.400848777503787 ;\n",
+      "Epoch 360/1000, Cost: 2.9182\n",
+      " and the parameters are [-2.48315658  3.41675946] -4.400783930760391 ;\n",
+      "Epoch 360/1000, Cost: 2.6410\n",
+      " and the parameters are [-2.48318011  3.41675872] -4.400813479336179 ;\n",
+      "Epoch 360/1000, Cost: 3.3359\n",
+      " and the parameters are [-2.48327294  3.41668474] -4.400862807135105 ;\n",
+      "Epoch 360/1000, Cost: 7.2397\n",
+      " and the parameters are [-2.48327206  3.41657768] -4.4009652385961875 ;\n",
+      "Epoch 360/1000, Cost: 4.2065\n",
+      " and the parameters are [-2.48328889  3.41657657] -4.401021481820944 ;\n",
+      "Epoch 360/1000, Cost: 3.7489\n",
+      " and the parameters are [-2.48336567  3.41653604] -4.4010450530488106 ;\n",
+      "Epoch 360/1000, Cost: 3.5257\n",
+      " and the parameters are [-2.48331068  3.41663605] -4.40102226685035 ;\n",
+      "Epoch 360/1000, Cost: 3.3288\n",
+      " and the parameters are [-2.48327426  3.416792  ] -4.400960587481931 ;\n",
+      "Epoch 360/1000, Cost: 2.1789\n",
+      " and the parameters are [-2.48330798  3.41681856] -4.400970196107754 ;\n",
+      "Epoch 360/1000, Cost: 2.2953\n",
+      " and the parameters are [-2.48335993  3.41681563] -4.40098994300915 ;\n",
+      "Epoch 360/1000, Cost: 4.1397\n",
+      " and the parameters are [-2.48330634  3.41680664] -4.401069446370116 ;\n",
+      "Epoch 360/1000, Cost: 2.9665\n",
+      " and the parameters are [-2.48338099  3.41673365] -4.401132651734233 ;\n",
+      "Epoch 360/1000, Cost: 2.5795\n",
+      " and the parameters are [-2.48340313  3.41676205] -4.40114024238328 ;\n",
+      "Epoch 360/1000, Cost: 3.7607\n",
+      " and the parameters are [-2.48343536  3.41671058] -4.40119478079817 ;\n",
+      "Epoch 360/1000, Cost: 2.5513\n",
+      " and the parameters are [-2.48347076  3.4167745 ] -4.401169334247856 ;\n",
+      "Epoch 360/1000, Cost: 4.8546\n",
+      " and the parameters are [-2.48349424  3.41663922] -4.4012672066931575 ;\n",
+      "Epoch 360/1000, Cost: 3.7532\n",
+      " and the parameters are [-2.48348447  3.41666304] -4.401292472935646 ;\n",
+      "Epoch 360/1000, Cost: 3.6845\n",
+      " and the parameters are [-2.48352643  3.41675943] -4.401237447536507 ;\n",
+      "Epoch 360/1000, Cost: 4.6606\n",
+      " and the parameters are [-2.48352304  3.41691781] -4.401133909719687 ;\n",
+      "Epoch 360/1000, Cost: 2.5861\n",
+      " and the parameters are [-2.48352109  3.41700088] -4.401119550091519 ;\n",
+      "Epoch 360/1000, Cost: 3.7777\n",
+      " and the parameters are [-2.48349351  3.41699947] -4.401179215376874 ;\n",
+      "Epoch 360/1000, Cost: 1.2609\n",
+      " and the parameters are [-2.48348554  3.4170472 ] -4.401184196121575 ;\n",
+      "Epoch 360/1000, Cost: 3.0934\n",
+      " and the parameters are [-2.48350551  3.41712431] -4.401160537394123 ;\n",
+      "Epoch 360/1000, Cost: 4.0292\n",
+      " and the parameters are [-2.4835086   3.41714951] -4.4011713288301415 ;\n",
+      "Epoch 360/1000, Cost: 5.1119\n",
+      " and the parameters are [-2.48353338  3.41706447] -4.401264131061254 ;\n",
+      "Epoch 360/1000, Cost: 1.6301\n",
+      " and the parameters are [-2.48357983  3.41712189] -4.40122607044324 ;\n",
+      "Epoch 360/1000, Cost: 3.0078\n",
+      " and the parameters are [-2.48356066  3.41712015] -4.401276882853659 ;\n",
+      "Epoch 360/1000, Cost: 2.7441\n",
+      " and the parameters are [-2.48355506  3.41715203] -4.401306199660434 ;\n",
+      "Epoch 360/1000, Cost: 4.2065\n",
+      " and the parameters are [-2.48343098  3.41734314] -4.401276286270169 ;\n",
+      "Epoch 360/1000, Cost: 4.0363\n",
+      " and the parameters are [-2.48338274  3.41734406] -4.401329793674248 ;\n",
+      "Epoch 360/1000, Cost: 2.9904\n",
+      " and the parameters are [-2.48346103  3.41725232] -4.401396370818889 ;\n",
+      "Epoch 360/1000, Cost: 3.3903\n",
+      " and the parameters are [-2.4834861   3.41734637] -4.4013468166516105 ;\n",
+      "Epoch 360/1000, Cost: 2.2514\n",
+      " and the parameters are [-2.48350013  3.41737146] -4.401364177813117 ;\n",
+      "Epoch 360/1000, Cost: 3.2017\n",
+      " and the parameters are [-2.48358629  3.41737224] -4.401366880423835 ;\n",
+      "Epoch 360/1000, Cost: 3.2846\n",
+      " and the parameters are [-2.48361429  3.41739136] -4.40137541480237 ;\n",
+      "Epoch 360/1000, Cost: 11.2969\n",
+      " and the parameters are [-2.48365821  3.41722527] -4.401442243695538 ;\n",
+      "Epoch 360/1000, Cost: 3.1529\n",
+      " and the parameters are [-2.48367294  3.41721165] -4.401491151247069 ;\n",
+      "Epoch 360/1000, Cost: 1.0777\n",
+      " and the parameters are [-2.48368696  3.41722548] -4.401500308161365 ;\n",
+      "Epoch 360/1000, Cost: 1.5841\n",
+      " and the parameters are [-2.48367916  3.41726542] -4.4015121291042 ;\n",
+      "Epoch 360/1000, Cost: 2.1098\n",
+      " and the parameters are [-2.48360583  3.41737434] -4.401513777131145 ;\n",
+      "Epoch 360/1000, Cost: 2.8350\n",
+      " and the parameters are [-2.48360546  3.41734198] -4.401569496086769 ;\n",
+      "Epoch 360/1000, Cost: 4.0941\n",
+      " and the parameters are [-2.48364732  3.41723237] -4.401644715815834 ;\n",
+      "Epoch 360/1000, Cost: 3.4484\n",
+      " and the parameters are [-2.48365282  3.41719347] -4.401716804231237 ;\n",
+      "Epoch 360/1000, Cost: 3.0475\n",
+      " and the parameters are [-2.48359185  3.41732664] -4.401695941271788 ;\n",
+      "Epoch 360/1000, Cost: 3.2189\n",
+      " and the parameters are [-2.4835548  3.417432 ] -4.401668441292981 ;\n",
+      "Epoch 360/1000, Cost: 6.7614\n",
+      " and the parameters are [-2.48362397  3.41737106] -4.401698019419604 ;\n",
+      "Epoch 360/1000, Cost: 4.0747\n",
+      " and the parameters are [-2.48362045  3.41734523] -4.4017418566267565 ;\n",
+      "Epoch 360/1000, Cost: 2.8585\n",
+      " and the parameters are [-2.48364447  3.41735938] -4.40176435873157 ;\n",
+      "Epoch 360/1000, Cost: 4.1990\n",
+      " and the parameters are [-2.48372864  3.4172218 ] -4.401865942207053 ;\n",
+      "Epoch 360/1000, Cost: 3.6350\n",
+      " and the parameters are [-2.48383455  3.41715382] -4.401895620818994 ;\n",
+      "Epoch 360/1000, Cost: 6.4297\n",
+      " and the parameters are [-2.48406902  3.41687019] -4.40200578382028 ;\n",
+      "Epoch 360/1000, Cost: 2.0040\n",
+      " and the parameters are [-2.48405612  3.41692799] -4.402012361187575 ;\n",
+      "Epoch 360/1000, Cost: 3.2699\n",
+      " and the parameters are [-2.48401843  3.41698305] -4.402021829665332 ;\n",
+      "Epoch 360/1000, Cost: 2.7083\n",
+      " and the parameters are [-2.48397848  3.4170438 ] -4.402031421546582 ;\n",
+      "Epoch 360/1000, Cost: 4.3161\n",
+      " and the parameters are [-2.4839855  3.4170182] -4.402046949240555 ;\n",
+      "Epoch 360/1000, Cost: 2.7458\n",
+      " and the parameters are [-2.48398039  3.4170981 ] -4.402036496716025 ;\n",
+      "Epoch 360/1000, Cost: 2.4677\n",
+      " and the parameters are [-2.48400104  3.41707031] -4.402093901178187 ;\n",
+      "Epoch 360/1000, Cost: 2.2153\n",
+      " and the parameters are [-2.48399667  3.41715469] -4.402070813649143 ;\n",
+      "Epoch 360/1000, Cost: 2.7205\n",
+      " and the parameters are [-2.48407579  3.41705606] -4.402132323345153 ;\n",
+      "Epoch 360/1000, Cost: 3.4312\n",
+      " and the parameters are [-2.48412224  3.41700884] -4.402179833983758 ;\n",
+      "Epoch 360/1000, Cost: 5.4027\n",
+      " and the parameters are [-2.48416166  3.41701722] -4.402207074662171 ;\n",
+      "Epoch 360/1000, Cost: 4.6600\n",
+      " and the parameters are [-2.48415449  3.41699891] -4.402266027339503 ;\n",
+      "Epoch 360/1000, Cost: 2.3889\n",
+      " and the parameters are [-2.48410819  3.41706994] -4.402270393035914 ;\n",
+      "Epoch 360/1000, Cost: 4.9307\n",
+      " and the parameters are [-2.48409131  3.41716488] -4.402244905975389 ;\n",
+      "Epoch 360/1000, Cost: 1.9264\n",
+      " and the parameters are [-2.48407523  3.41722903] -4.402251009778961 ;\n",
+      "Epoch 360/1000, Cost: 2.9841\n",
+      " and the parameters are [-2.48407752  3.4173297 ] -4.402216814200801 ;\n",
+      "Epoch 360/1000, Cost: 5.4696\n",
+      " and the parameters are [-2.48411927  3.41722808] -4.402299687156688 ;\n",
+      "Epoch 370/1000, Cost: 1.1220\n",
+      " and the parameters are [-2.50322626  3.44078936] -4.4363012427927 ;\n",
+      "Epoch 370/1000, Cost: 2.6667\n",
+      " and the parameters are [-2.50324243  3.44082006] -4.436319011569371 ;\n",
+      "Epoch 370/1000, Cost: 4.3512\n",
+      " and the parameters are [-2.50327752  3.44086188] -4.4362925677985094 ;\n",
+      "Epoch 370/1000, Cost: 3.8706\n",
+      " and the parameters are [-2.50330304  3.44080855] -4.436344462725014 ;\n",
+      "Epoch 370/1000, Cost: 1.4915\n",
+      " and the parameters are [-2.50332823  3.44079928] -4.436378485513992 ;\n",
+      "Epoch 370/1000, Cost: 5.3804\n",
+      " and the parameters are [-2.50332673  3.44076748] -4.436461290502953 ;\n",
+      "Epoch 370/1000, Cost: 5.9072\n",
+      " and the parameters are [-2.50337727  3.44068399] -4.436532572963774 ;\n",
+      "Epoch 370/1000, Cost: 3.0787\n",
+      " and the parameters are [-2.50342147  3.44059354] -4.4366123532043815 ;\n",
+      "Epoch 370/1000, Cost: 1.8204\n",
+      " and the parameters are [-2.50341448  3.44066528] -4.436606853016859 ;\n",
+      "Epoch 370/1000, Cost: 4.5281\n",
+      " and the parameters are [-2.50336724  3.44068154] -4.436667450424323 ;\n",
+      "Epoch 370/1000, Cost: 1.9745\n",
+      " and the parameters are [-2.50338179  3.44074293] -4.436659104615028 ;\n",
+      "Epoch 370/1000, Cost: 5.3933\n",
+      " and the parameters are [-2.50328528  3.44084407] -4.4366778051318425 ;\n",
+      "Epoch 370/1000, Cost: 2.7662\n",
+      " and the parameters are [-2.50325408  3.44092992] -4.436663826362607 ;\n",
+      "Epoch 370/1000, Cost: 1.8258\n",
+      " and the parameters are [-2.50326028  3.44099687] -4.436647080191552 ;\n",
+      "Epoch 370/1000, Cost: 7.2835\n",
+      " and the parameters are [-2.50326713  3.44093883] -4.436699903232934 ;\n",
+      "Epoch 370/1000, Cost: 4.2898\n",
+      " and the parameters are [-2.50331407  3.44092837] -4.43672555757025 ;\n",
+      "Epoch 370/1000, Cost: 3.1496\n",
+      " and the parameters are [-2.50336665  3.4409952 ] -4.436691871159191 ;\n",
+      "Epoch 370/1000, Cost: 1.9403\n",
+      " and the parameters are [-2.50340606  3.44099126] -4.436712875173455 ;\n",
+      "Epoch 370/1000, Cost: 2.4379\n",
+      " and the parameters are [-2.50341143  3.44101863] -4.436728470999009 ;\n",
+      "Epoch 370/1000, Cost: 2.2608\n",
+      " and the parameters are [-2.50337101  3.44109733] -4.436734907352794 ;\n",
+      "Epoch 370/1000, Cost: 4.0967\n",
+      " and the parameters are [-2.50341948  3.44109001] -4.43677214310641 ;\n",
+      "Epoch 370/1000, Cost: 5.7760\n",
+      " and the parameters are [-2.50340642  3.4411876 ] -4.436727431072365 ;\n",
+      "Epoch 370/1000, Cost: 3.3088\n",
+      " and the parameters are [-2.50347331  3.44125738] -4.436664478361911 ;\n",
+      "Epoch 370/1000, Cost: 1.9506\n",
+      " and the parameters are [-2.50347671  3.44131634] -4.436663452003893 ;\n",
+      "Epoch 370/1000, Cost: 2.6704\n",
+      " and the parameters are [-2.50353185  3.44125596] -4.436718271650064 ;\n",
+      "Epoch 370/1000, Cost: 4.6859\n",
+      " and the parameters are [-2.50358043  3.44120491] -4.436745095327147 ;\n",
+      "Epoch 370/1000, Cost: 3.8400\n",
+      " and the parameters are [-2.50358627  3.44113889] -4.436820410281493 ;\n",
+      "Epoch 370/1000, Cost: 3.9373\n",
+      " and the parameters are [-2.50361314  3.44109193] -4.436890605707483 ;\n",
+      "Epoch 370/1000, Cost: 3.7900\n",
+      " and the parameters are [-2.5035484   3.44103025] -4.43698850625771 ;\n",
+      "Epoch 370/1000, Cost: 3.0234\n",
+      " and the parameters are [-2.50357104  3.44096904] -4.437074915314771 ;\n",
+      "Epoch 370/1000, Cost: 4.0999\n",
+      " and the parameters are [-2.50359541  3.44094843] -4.437112077966952 ;\n",
+      "Epoch 370/1000, Cost: 8.3931\n",
+      " and the parameters are [-2.50360819  3.44092398] -4.437104133616527 ;\n",
+      "Epoch 370/1000, Cost: 4.1171\n",
+      " and the parameters are [-2.50359763  3.44094745] -4.437097561628057 ;\n",
+      "Epoch 370/1000, Cost: 6.2898\n",
+      " and the parameters are [-2.5035948   3.44095965] -4.437089646107617 ;\n",
+      "Epoch 370/1000, Cost: 5.6933\n",
+      " and the parameters are [-2.50356122  3.44093862] -4.437135437828354 ;\n",
+      "Epoch 370/1000, Cost: 1.5249\n",
+      " and the parameters are [-2.50352547  3.44096475] -4.437169887627027 ;\n",
+      "Epoch 370/1000, Cost: 4.1288\n",
+      " and the parameters are [-2.50356144  3.44098145] -4.437165405356321 ;\n",
+      "Epoch 370/1000, Cost: 4.4573\n",
+      " and the parameters are [-2.50356384  3.4411125 ] -4.437088085934759 ;\n",
+      "Epoch 370/1000, Cost: 4.2764\n",
+      " and the parameters are [-2.50365502  3.44101672] -4.4371232437410235 ;\n",
+      "Epoch 370/1000, Cost: 2.3260\n",
+      " and the parameters are [-2.50361246  3.44111124] -4.437120888275786 ;\n",
+      "Epoch 370/1000, Cost: 2.9509\n",
+      " and the parameters are [-2.50368559  3.44114385] -4.4370847052720075 ;\n",
+      "Epoch 370/1000, Cost: 5.9051\n",
+      " and the parameters are [-2.50372748  3.44124043] -4.4370118609668285 ;\n",
+      "Epoch 370/1000, Cost: 2.2438\n",
+      " and the parameters are [-2.50370348  3.44129298] -4.437029729937546 ;\n",
+      "Epoch 370/1000, Cost: 2.4490\n",
+      " and the parameters are [-2.50365522  3.44130669] -4.43709096711729 ;\n",
+      "Epoch 370/1000, Cost: 3.9794\n",
+      " and the parameters are [-2.50364545  3.44133151] -4.437115202580666 ;\n",
+      "Epoch 370/1000, Cost: 4.0179\n",
+      " and the parameters are [-2.50366543  3.44138739] -4.437103879890634 ;\n",
+      "Epoch 370/1000, Cost: 1.7408\n",
+      " and the parameters are [-2.50364497  3.44148179] -4.437085462882215 ;\n",
+      "Epoch 370/1000, Cost: 2.5731\n",
+      " and the parameters are [-2.5036798   3.44147437] -4.437118774914808 ;\n",
+      "Epoch 370/1000, Cost: 3.3932\n",
+      " and the parameters are [-2.5036729   3.44155862] -4.4370952826469034 ;\n",
+      "Epoch 370/1000, Cost: 3.7551\n",
+      " and the parameters are [-2.50366555  3.44158669] -4.437111349126526 ;\n",
+      "Epoch 370/1000, Cost: 1.4521\n",
+      " and the parameters are [-2.50366366  3.44158581] -4.4371494888162335 ;\n",
+      "Epoch 370/1000, Cost: 5.9370\n",
+      " and the parameters are [-2.50366982  3.44158409] -4.437167417706789 ;\n",
+      "Epoch 370/1000, Cost: 4.4180\n",
+      " and the parameters are [-2.50370245  3.44152565] -4.437207058614905 ;\n",
+      "Epoch 370/1000, Cost: 2.4856\n",
+      " and the parameters are [-2.50373768  3.44152042] -4.4372376594413865 ;\n",
+      "Epoch 370/1000, Cost: 2.9315\n",
+      " and the parameters are [-2.50372471  3.44148627] -4.437310493501776 ;\n",
+      "Epoch 370/1000, Cost: 3.5226\n",
+      " and the parameters are [-2.50372299  3.44155686] -4.437286889280838 ;\n",
+      "Epoch 370/1000, Cost: 5.7096\n",
+      " and the parameters are [-2.50383059  3.44144164] -4.437352058368684 ;\n",
+      "Epoch 370/1000, Cost: 2.0530\n",
+      " and the parameters are [-2.50382533  3.44155392] -4.437310294550467 ;\n",
+      "Epoch 370/1000, Cost: 1.4062\n",
+      " and the parameters are [-2.50381354  3.44157803] -4.437335251623755 ;\n",
+      "Epoch 370/1000, Cost: 2.0889\n",
+      " and the parameters are [-2.50378775  3.44158407] -4.437385452006792 ;\n",
+      "Epoch 370/1000, Cost: 3.5204\n",
+      " and the parameters are [-2.50375665  3.44163717] -4.437405933185233 ;\n",
+      "Epoch 370/1000, Cost: 2.7336\n",
+      " and the parameters are [-2.50375816  3.44167077] -4.437436237794915 ;\n",
+      "Epoch 370/1000, Cost: 2.8996\n",
+      " and the parameters are [-2.50376338  3.44183055] -4.437352960593999 ;\n",
+      "Epoch 370/1000, Cost: 2.8443\n",
+      " and the parameters are [-2.50380607  3.44185957] -4.43734758993287 ;\n",
+      "Epoch 370/1000, Cost: 1.7374\n",
+      " and the parameters are [-2.50381065  3.44190404] -4.437353470900582 ;\n",
+      "Epoch 370/1000, Cost: 5.9000\n",
+      " and the parameters are [-2.50381429  3.44192953] -4.437350118983541 ;\n",
+      "Epoch 370/1000, Cost: 1.5214\n",
+      " and the parameters are [-2.50383924  3.44197792] -4.437331795796297 ;\n",
+      "Epoch 370/1000, Cost: 1.9914\n",
+      " and the parameters are [-2.50382599  3.4419684 ] -4.4373860448849 ;\n",
+      "Epoch 370/1000, Cost: 3.7764\n",
+      " and the parameters are [-2.5037791   3.44198719] -4.437409737401728 ;\n",
+      "Epoch 370/1000, Cost: 4.2827\n",
+      " and the parameters are [-2.50379121  3.44208284] -4.4373752750024 ;\n",
+      "Epoch 370/1000, Cost: 2.7700\n",
+      " and the parameters are [-2.50378521  3.44204156] -4.43745185145368 ;\n",
+      "Epoch 370/1000, Cost: 3.7167\n",
+      " and the parameters are [-2.50384411  3.44191173] -4.437554795254882 ;\n",
+      "Epoch 370/1000, Cost: 2.5658\n",
+      " and the parameters are [-2.50383594  3.44196315] -4.437561521210579 ;\n",
+      "Epoch 370/1000, Cost: 4.7879\n",
+      " and the parameters are [-2.50391434  3.44190122] -4.437577523446391 ;\n",
+      "Epoch 370/1000, Cost: 6.6610\n",
+      " and the parameters are [-2.50396697  3.44180055] -4.4376463373562 ;\n",
+      "Epoch 370/1000, Cost: 5.8844\n",
+      " and the parameters are [-2.50390901  3.44184362] -4.4376601684159755 ;\n",
+      "Epoch 370/1000, Cost: 2.0076\n",
+      " and the parameters are [-2.50394018  3.44183451] -4.437696456493938 ;\n",
+      "Epoch 370/1000, Cost: 4.0763\n",
+      " and the parameters are [-2.50402111  3.44167129] -4.437802521548067 ;\n",
+      "Epoch 370/1000, Cost: 2.8328\n",
+      " and the parameters are [-2.50404872  3.44162424] -4.437856827564327 ;\n",
+      "Epoch 370/1000, Cost: 1.9777\n",
+      " and the parameters are [-2.50406609  3.44165534] -4.437862314660362 ;\n",
+      "Epoch 370/1000, Cost: 5.8726\n",
+      " and the parameters are [-2.5042204   3.44136273] -4.438003970331558 ;\n",
+      "Epoch 370/1000, Cost: 1.2345\n",
+      " and the parameters are [-2.50423219  3.44142787] -4.437978782274752 ;\n",
+      "Epoch 370/1000, Cost: 3.5933\n",
+      " and the parameters are [-2.50422814  3.44152731] -4.437946503513322 ;\n",
+      "Epoch 370/1000, Cost: 2.9460\n",
+      " and the parameters are [-2.50424838  3.44151989] -4.437980136450081 ;\n",
+      "Epoch 370/1000, Cost: 6.2482\n",
+      " and the parameters are [-2.50416431  3.44150922] -4.438057332083513 ;\n",
+      "Epoch 370/1000, Cost: 5.5162\n",
+      " and the parameters are [-2.50423633  3.44148335] -4.4380678784625225 ;\n",
+      "Epoch 370/1000, Cost: 4.0257\n",
+      " and the parameters are [-2.50430925  3.44153527] -4.438029316840739 ;\n",
+      "Epoch 370/1000, Cost: 6.9103\n",
+      " and the parameters are [-2.50441316  3.44148066] -4.438007159352329 ;\n",
+      "Epoch 370/1000, Cost: 4.9265\n",
+      " and the parameters are [-2.50432719  3.44154929] -4.4380099910659 ;\n",
+      "Epoch 370/1000, Cost: 3.9495\n",
+      " and the parameters are [-2.50434752  3.44165709] -4.437943314912284 ;\n",
+      "Epoch 370/1000, Cost: 3.7830\n",
+      " and the parameters are [-2.50437335  3.44171963] -4.437922690321816 ;\n",
+      "Epoch 370/1000, Cost: 3.2589\n",
+      " and the parameters are [-2.50438198  3.44163807] -4.438008377121016 ;\n",
+      "Epoch 370/1000, Cost: 3.6230\n",
+      " and the parameters are [-2.50442343  3.4416629 ] -4.438003224460067 ;\n",
+      "Epoch 370/1000, Cost: 3.8783\n",
+      " and the parameters are [-2.50436284  3.44168838] -4.438049237010111 ;\n",
+      "Epoch 370/1000, Cost: 2.3633\n",
+      " and the parameters are [-2.5043516   3.44176788] -4.43804007463577 ;\n",
+      "Epoch 370/1000, Cost: 2.2794\n",
+      " and the parameters are [-2.50441178  3.4416909 ] -4.438097682529556 ;\n",
+      "Epoch 370/1000, Cost: 2.1308\n",
+      " and the parameters are [-2.50441994  3.44166802] -4.438152134841527 ;\n",
+      "Epoch 370/1000, Cost: 2.6875\n",
+      " and the parameters are [-2.50444975  3.44167338] -4.438179234232972 ;\n",
+      "Epoch 370/1000, Cost: 4.3711\n",
+      " and the parameters are [-2.50448123  3.44161192] -4.4382575726138285 ;\n",
+      "Epoch 370/1000, Cost: 3.3331\n",
+      " and the parameters are [-2.50454455  3.44160514] -4.43825819536091 ;\n",
+      "Epoch 370/1000, Cost: 2.9881\n",
+      " and the parameters are [-2.50453134  3.44155331] -4.438340577173417 ;\n",
+      "Epoch 370/1000, Cost: 5.7565\n",
+      " and the parameters are [-2.5045438   3.44146293] -4.4384197912404435 ;\n",
+      "Epoch 370/1000, Cost: 1.9442\n",
+      " and the parameters are [-2.5045948   3.44139623] -4.438482892446983 ;\n",
+      "Epoch 370/1000, Cost: 4.7341\n",
+      " and the parameters are [-2.50458249  3.44144232] -4.438472157150597 ;\n",
+      "Epoch 370/1000, Cost: 2.7962\n",
+      " and the parameters are [-2.5046485   3.44134627] -4.438558171223175 ;\n",
+      "Epoch 370/1000, Cost: 1.5533\n",
+      " and the parameters are [-2.50471521  3.44132224] -4.438570590622531 ;\n",
+      "Epoch 370/1000, Cost: 4.6827\n",
+      " and the parameters are [-2.50472845  3.44133927] -4.438582815419704 ;\n",
+      "Epoch 370/1000, Cost: 4.8382\n",
+      " and the parameters are [-2.50473288  3.44132121] -4.438611301327173 ;\n",
+      "Epoch 370/1000, Cost: 3.1968\n",
+      " and the parameters are [-2.50468505  3.44132842] -4.438675304600064 ;\n",
+      "Epoch 370/1000, Cost: 3.5668\n",
+      " and the parameters are [-2.50470997  3.44125422] -4.438751363999012 ;\n",
+      "Epoch 370/1000, Cost: 3.0195\n",
+      " and the parameters are [-2.50473845  3.44118457] -4.438827858208854 ;\n",
+      "Epoch 370/1000, Cost: 3.1055\n",
+      " and the parameters are [-2.50471757  3.44121997] -4.438851617482521 ;\n",
+      "Epoch 370/1000, Cost: 2.8657\n",
+      " and the parameters are [-2.50473215  3.44120128] -4.438893871723131 ;\n",
+      "Epoch 370/1000, Cost: 3.3419\n",
+      " and the parameters are [-2.50478072  3.44120933] -4.438904825448002 ;\n",
+      "Epoch 370/1000, Cost: 3.2437\n",
+      " and the parameters are [-2.50480726  3.44128647] -4.438876728629767 ;\n",
+      "Epoch 370/1000, Cost: 3.3908\n",
+      " and the parameters are [-2.50486902  3.44122705] -4.438921704604567 ;\n",
+      "Epoch 370/1000, Cost: 3.1308\n",
+      " and the parameters are [-2.50486178  3.44129054] -4.438928385393637 ;\n",
+      "Epoch 370/1000, Cost: 4.1388\n",
+      " and the parameters are [-2.50500436  3.44134614] -4.438840082573713 ;\n",
+      "Epoch 370/1000, Cost: 3.5577\n",
+      " and the parameters are [-2.50511318  3.44130518] -4.438856918034701 ;\n",
+      "Epoch 370/1000, Cost: 2.6919\n",
+      " and the parameters are [-2.50516124  3.44136409] -4.438841672548608 ;\n",
+      "Epoch 370/1000, Cost: 3.8379\n",
+      " and the parameters are [-2.50514832  3.4414673 ] -4.43882177243011 ;\n",
+      "Epoch 370/1000, Cost: 2.2148\n",
+      " and the parameters are [-2.50512199  3.44155968] -4.438808286055238 ;\n",
+      "Epoch 370/1000, Cost: 2.0163\n",
+      " and the parameters are [-2.50510702  3.44155671] -4.438863958361555 ;\n",
+      "Epoch 370/1000, Cost: 1.9580\n",
+      " and the parameters are [-2.50513779  3.44160571] -4.438849466500363 ;\n",
+      "Epoch 370/1000, Cost: 5.5676\n",
+      " and the parameters are [-2.50517859  3.44159446] -4.438867948690353 ;\n",
+      "Epoch 370/1000, Cost: 1.8825\n",
+      " and the parameters are [-2.50515745  3.44161967] -4.438901518564817 ;\n",
+      "Epoch 370/1000, Cost: 5.0689\n",
+      " and the parameters are [-2.50514497  3.44167783] -4.438900871475429 ;\n",
+      "Epoch 370/1000, Cost: 3.4375\n",
+      " and the parameters are [-2.50524819  3.44156061] -4.4389767950055266 ;\n",
+      "Epoch 370/1000, Cost: 3.7776\n",
+      " and the parameters are [-2.50522304  3.44160792] -4.43898926526118 ;\n",
+      "Epoch 370/1000, Cost: 4.2173\n",
+      " and the parameters are [-2.50524637  3.44168732] -4.4389675740048355 ;\n",
+      "Epoch 370/1000, Cost: 2.9848\n",
+      " and the parameters are [-2.50529761  3.44167573] -4.438990142105624 ;\n",
+      "Epoch 370/1000, Cost: 2.6126\n",
+      " and the parameters are [-2.505287    3.44171806] -4.43900965330505 ;\n",
+      "Epoch 370/1000, Cost: 4.2162\n",
+      " and the parameters are [-2.50527095  3.44179742] -4.438987257286273 ;\n",
+      "Epoch 370/1000, Cost: 4.8974\n",
+      " and the parameters are [-2.50524672  3.4417423 ] -4.4390743971955775 ;\n",
+      "Epoch 370/1000, Cost: 2.5274\n",
+      " and the parameters are [-2.50521511  3.44181752] -4.43907644111195 ;\n",
+      "Epoch 370/1000, Cost: 3.9066\n",
+      " and the parameters are [-2.50530989  3.44179739] -4.439095786014493 ;\n",
+      "Epoch 370/1000, Cost: 3.9719\n",
+      " and the parameters are [-2.50525846  3.44192773] -4.439054875367819 ;\n",
+      "Epoch 370/1000, Cost: 4.0315\n",
+      " and the parameters are [-2.50533682  3.44186725] -4.439091383431491 ;\n",
+      "Epoch 370/1000, Cost: 7.4125\n",
+      " and the parameters are [-2.50540674  3.44173936] -4.439126518132287 ;\n",
+      "Epoch 370/1000, Cost: 3.3277\n",
+      " and the parameters are [-2.50537187  3.44177136] -4.439171567632674 ;\n",
+      "Epoch 370/1000, Cost: 3.6981\n",
+      " and the parameters are [-2.50532655  3.4418918 ] -4.439142372425279 ;\n",
+      "Epoch 370/1000, Cost: 2.1885\n",
+      " and the parameters are [-2.50534157  3.44185807] -4.4391937769936805 ;\n",
+      "Epoch 370/1000, Cost: 1.9929\n",
+      " and the parameters are [-2.50536331  3.44185415] -4.439234429472008 ;\n",
+      "Epoch 370/1000, Cost: 3.9070\n",
+      " and the parameters are [-2.5053382  3.4419042] -4.4392475615113 ;\n",
+      "Epoch 370/1000, Cost: 4.1504\n",
+      " and the parameters are [-2.50545223  3.44175966] -4.4393358836058425 ;\n",
+      "Epoch 370/1000, Cost: 6.0801\n",
+      " and the parameters are [-2.50546463  3.44192681] -4.4392013328891275 ;\n",
+      "Epoch 370/1000, Cost: 5.2197\n",
+      " and the parameters are [-2.5054522   3.44184915] -4.439284803855169 ;\n",
+      "Epoch 370/1000, Cost: 4.3923\n",
+      " and the parameters are [-2.50544837  3.44197154] -4.439226004282397 ;\n",
+      "Epoch 370/1000, Cost: 2.1864\n",
+      " and the parameters are [-2.5055028   3.44198271] -4.439227708148624 ;\n",
+      "Epoch 370/1000, Cost: 7.0325\n",
+      " and the parameters are [-2.50545771  3.44199694] -4.439253588751778 ;\n",
+      "Epoch 370/1000, Cost: 3.9610\n",
+      " and the parameters are [-2.50544136  3.44213072] -4.439190491198273 ;\n",
+      "Epoch 370/1000, Cost: 3.2390\n",
+      " and the parameters are [-2.50544229  3.44216119] -4.439215082074004 ;\n",
+      "Epoch 370/1000, Cost: 4.7921\n",
+      " and the parameters are [-2.50548072  3.44221004] -4.439172199131932 ;\n",
+      "Epoch 370/1000, Cost: 3.7818\n",
+      " and the parameters are [-2.50539767  3.44236585] -4.439148906405057 ;\n",
+      "Epoch 370/1000, Cost: 3.3691\n",
+      " and the parameters are [-2.50541734  3.44227617] -4.439229839933341 ;\n",
+      "Epoch 370/1000, Cost: 3.0305\n",
+      " and the parameters are [-2.50541098  3.44231868] -4.439249686899279 ;\n",
+      "Epoch 370/1000, Cost: 2.0687\n",
+      " and the parameters are [-2.5054579   3.44231122] -4.4392699664777355 ;\n",
+      "Epoch 370/1000, Cost: 3.5255\n",
+      " and the parameters are [-2.50545728  3.44239601] -4.439252757687072 ;\n",
+      "Epoch 370/1000, Cost: 2.7868\n",
+      " and the parameters are [-2.50555348  3.44235292] -4.439272317841613 ;\n",
+      "Epoch 370/1000, Cost: 2.4927\n",
+      " and the parameters are [-2.50553962  3.44233637] -4.4393230945636715 ;\n",
+      "Epoch 370/1000, Cost: 6.2345\n",
+      " and the parameters are [-2.5055395   3.44238119] -4.439301905958345 ;\n",
+      "Epoch 370/1000, Cost: 2.0269\n",
+      " and the parameters are [-2.50553437  3.4424266 ] -4.4393165523315945 ;\n",
+      "Epoch 370/1000, Cost: 3.1183\n",
+      " and the parameters are [-2.50552747  3.44251173] -4.439290529894522 ;\n",
+      "Epoch 370/1000, Cost: 4.0008\n",
+      " and the parameters are [-2.505583  3.442519] -4.439272146857935 ;\n",
+      "Epoch 370/1000, Cost: 1.9926\n",
+      " and the parameters are [-2.50561814  3.44252608] -4.439283553775381 ;\n",
+      "Epoch 370/1000, Cost: 2.4722\n",
+      " and the parameters are [-2.50564686  3.44256639] -4.439273101098501 ;\n",
+      "Epoch 370/1000, Cost: 3.0233\n",
+      " and the parameters are [-2.50560053  3.44266664] -4.4392630228151155 ;\n",
+      "Epoch 370/1000, Cost: 2.4343\n",
+      " and the parameters are [-2.50556582  3.44276646] -4.4392421031698035 ;\n",
+      "Epoch 370/1000, Cost: 2.5917\n",
+      " and the parameters are [-2.50553795  3.44282501] -4.4392543926043775 ;\n",
+      "Epoch 370/1000, Cost: 3.8831\n",
+      " and the parameters are [-2.5055574   3.44276515] -4.439329937462271 ;\n",
+      "Epoch 370/1000, Cost: 1.3352\n",
+      " and the parameters are [-2.50554469  3.44284985] -4.439313670934208 ;\n",
+      "Epoch 370/1000, Cost: 3.0534\n",
+      " and the parameters are [-2.50554577  3.44297306] -4.4392489425796295 ;\n",
+      "Epoch 370/1000, Cost: 2.6652\n",
+      " and the parameters are [-2.50555862  3.44299371] -4.439279686807286 ;\n",
+      "Epoch 370/1000, Cost: 3.5932\n",
+      " and the parameters are [-2.50555429  3.44298123] -4.439331436003719 ;\n",
+      "Epoch 370/1000, Cost: 7.2862\n",
+      " and the parameters are [-2.50552448  3.44300021] -4.439313237886466 ;\n",
+      "Epoch 370/1000, Cost: 4.7164\n",
+      " and the parameters are [-2.50541941  3.44304818] -4.4393453537213405 ;\n",
+      "Epoch 370/1000, Cost: 2.9637\n",
+      " and the parameters are [-2.50544131  3.44309893] -4.439339029561391 ;\n",
+      "Epoch 370/1000, Cost: 5.0813\n",
+      " and the parameters are [-2.50547981  3.44305877] -4.4393800196805255 ;\n",
+      "Epoch 370/1000, Cost: 2.5345\n",
+      " and the parameters are [-2.50551739  3.44305443] -4.439395821136255 ;\n",
+      "Epoch 370/1000, Cost: 4.9315\n",
+      " and the parameters are [-2.50549742  3.44311529] -4.439367716673129 ;\n",
+      "Epoch 370/1000, Cost: 4.5532\n",
+      " and the parameters are [-2.50553823  3.44298043] -4.4394787155441415 ;\n",
+      "Epoch 370/1000, Cost: 4.3379\n",
+      " and the parameters are [-2.50541293  3.44300943] -4.439559009529317 ;\n",
+      "Epoch 370/1000, Cost: 5.3366\n",
+      " and the parameters are [-2.50542249  3.44299722] -4.439570563039142 ;\n",
+      "Epoch 370/1000, Cost: 2.9269\n",
+      " and the parameters are [-2.50532603  3.4430382 ] -4.439632833970501 ;\n",
+      "Epoch 370/1000, Cost: 3.8727\n",
+      " and the parameters are [-2.50532853  3.4430955 ] -4.439634539342635 ;\n",
+      "Epoch 370/1000, Cost: 2.9386\n",
+      " and the parameters are [-2.50529046  3.4430998 ] -4.439690113459738 ;\n",
+      "Epoch 370/1000, Cost: 1.9595\n",
+      " and the parameters are [-2.50529994  3.44317949] -4.439663108006135 ;\n",
+      "Epoch 370/1000, Cost: 8.3061\n",
+      " and the parameters are [-2.50534384  3.44307706] -4.439746387265226 ;\n",
+      "Epoch 370/1000, Cost: 2.7257\n",
+      " and the parameters are [-2.50531683  3.44314218] -4.439755649719644 ;\n",
+      "Epoch 370/1000, Cost: 1.3197\n",
+      " and the parameters are [-2.50529263  3.44320037] -4.439757707534369 ;\n",
+      "Epoch 370/1000, Cost: 3.2399\n",
+      " and the parameters are [-2.50525806  3.44326869] -4.439776227940786 ;\n",
+      "Epoch 370/1000, Cost: 4.4126\n",
+      " and the parameters are [-2.50532972  3.44319305] -4.439816220057211 ;\n",
+      "Epoch 370/1000, Cost: 1.9675\n",
+      " and the parameters are [-2.50531025  3.4432676 ] -4.439814705781841 ;\n",
+      "Epoch 370/1000, Cost: 3.4211\n",
+      " and the parameters are [-2.50530441  3.44328368] -4.43984419847321 ;\n",
+      "Epoch 370/1000, Cost: 3.6221\n",
+      " and the parameters are [-2.50528761  3.44340912] -4.439787026174397 ;\n",
+      "Epoch 370/1000, Cost: 1.7639\n",
+      " and the parameters are [-2.50526343  3.44343448] -4.439820220434753 ;\n",
+      "Epoch 370/1000, Cost: 2.3583\n",
+      " and the parameters are [-2.50526448  3.44342824] -4.43987162824714 ;\n",
+      "Epoch 370/1000, Cost: 4.9608\n",
+      " and the parameters are [-2.50524576  3.44344289] -4.439906304430506 ;\n",
+      "Epoch 370/1000, Cost: 1.5255\n",
+      " and the parameters are [-2.50527454  3.44345582] -4.439918439563787 ;\n",
+      "Epoch 370/1000, Cost: 3.3380\n",
+      " and the parameters are [-2.50531928  3.44334384] -4.440019361935657 ;\n",
+      "Epoch 380/1000, Cost: 3.2203\n",
+      " and the parameters are [-2.52400662  3.46614819] -4.473299406276637 ;\n",
+      "Epoch 380/1000, Cost: 4.0346\n",
+      " and the parameters are [-2.52408137  3.46602486] -4.4733635268152225 ;\n",
+      "Epoch 380/1000, Cost: 4.3210\n",
+      " and the parameters are [-2.52410841  3.46609355] -4.473324683003774 ;\n",
+      "Epoch 380/1000, Cost: 2.4267\n",
+      " and the parameters are [-2.52416198  3.46608607] -4.47333979469549 ;\n",
+      "Epoch 380/1000, Cost: 6.3811\n",
+      " and the parameters are [-2.52408582  3.46607922] -4.473385940303345 ;\n",
+      "Epoch 380/1000, Cost: 2.1383\n",
+      " and the parameters are [-2.52408927  3.4661228 ] -4.473390332892342 ;\n",
+      "Epoch 380/1000, Cost: 4.1493\n",
+      " and the parameters are [-2.52407984  3.46604937] -4.473496681590695 ;\n",
+      "Epoch 380/1000, Cost: 8.9491\n",
+      " and the parameters are [-2.52398755  3.46603901] -4.473548667258745 ;\n",
+      "Epoch 380/1000, Cost: 1.8108\n",
+      " and the parameters are [-2.52391178  3.46605272] -4.473607518742422 ;\n",
+      "Epoch 380/1000, Cost: 2.3153\n",
+      " and the parameters are [-2.52390251  3.46604448] -4.473655069911256 ;\n",
+      "Epoch 380/1000, Cost: 2.6685\n",
+      " and the parameters are [-2.52392334  3.46608699] -4.473651761375349 ;\n",
+      "Epoch 380/1000, Cost: 3.4480\n",
+      " and the parameters are [-2.52387609  3.4661919 ] -4.473641903341095 ;\n",
+      "Epoch 380/1000, Cost: 2.7068\n",
+      " and the parameters are [-2.52392032  3.46625988] -4.473598166033087 ;\n",
+      "Epoch 380/1000, Cost: 4.2956\n",
+      " and the parameters are [-2.52398801  3.46632845] -4.473511963586136 ;\n",
+      "Epoch 380/1000, Cost: 3.7068\n",
+      " and the parameters are [-2.52403295  3.46624499] -4.473573552505947 ;\n",
+      "Epoch 380/1000, Cost: 2.2208\n",
+      " and the parameters are [-2.5240383  3.4662802] -4.473585870999255 ;\n",
+      "Epoch 380/1000, Cost: 2.0046\n",
+      " and the parameters are [-2.52405426  3.46637707] -4.473526592371948 ;\n",
+      "Epoch 380/1000, Cost: 5.1992\n",
+      " and the parameters are [-2.5240077   3.46633847] -4.4736187852597515 ;\n",
+      "Epoch 380/1000, Cost: 3.5783\n",
+      " and the parameters are [-2.52405526  3.46631704] -4.473657525796668 ;\n",
+      "Epoch 380/1000, Cost: 5.4603\n",
+      " and the parameters are [-2.52411656  3.46632067] -4.4736515714141785 ;\n",
+      "Epoch 380/1000, Cost: 3.9986\n",
+      " and the parameters are [-2.52411761  3.46634384] -4.473666418444693 ;\n",
+      "Epoch 380/1000, Cost: 2.6885\n",
+      " and the parameters are [-2.52410624  3.46638502] -4.47366951658003 ;\n",
+      "Epoch 380/1000, Cost: 4.7026\n",
+      " and the parameters are [-2.52409867  3.46653293] -4.473599799243272 ;\n",
+      "Epoch 380/1000, Cost: 5.0054\n",
+      " and the parameters are [-2.52409225  3.46648736] -4.473655276799036 ;\n",
+      "Epoch 380/1000, Cost: 3.7400\n",
+      " and the parameters are [-2.5241851   3.46635405] -4.473752369573807 ;\n",
+      "Epoch 380/1000, Cost: 4.1318\n",
+      " and the parameters are [-2.5241308   3.46630222] -4.473849568325207 ;\n",
+      "Epoch 380/1000, Cost: 4.2915\n",
+      " and the parameters are [-2.52415733  3.46619356] -4.473951709458649 ;\n",
+      "Epoch 380/1000, Cost: 2.0250\n",
+      " and the parameters are [-2.52414412  3.46623069] -4.473968031993566 ;\n",
+      "Epoch 380/1000, Cost: 7.2395\n",
+      " and the parameters are [-2.5240753   3.46641247] -4.47385010610528 ;\n",
+      "Epoch 380/1000, Cost: 2.4644\n",
+      " and the parameters are [-2.52411706  3.46637287] -4.473902263907119 ;\n",
+      "Epoch 380/1000, Cost: 6.1271\n",
+      " and the parameters are [-2.52412424  3.46646038] -4.473839149158048 ;\n",
+      "Epoch 380/1000, Cost: 2.9787\n",
+      " and the parameters are [-2.52410688  3.46644574] -4.473893179531643 ;\n",
+      "Epoch 380/1000, Cost: 6.0542\n",
+      " and the parameters are [-2.52415945  3.46652845] -4.47382443910099 ;\n",
+      "Epoch 380/1000, Cost: 2.6831\n",
+      " and the parameters are [-2.52419458  3.46662585] -4.473769087880126 ;\n",
+      "Epoch 380/1000, Cost: 7.4010\n",
+      " and the parameters are [-2.52414385  3.46661798] -4.4738032125298615 ;\n",
+      "Epoch 380/1000, Cost: 2.1025\n",
+      " and the parameters are [-2.52412332  3.46670098] -4.473789815500786 ;\n",
+      "Epoch 380/1000, Cost: 1.7905\n",
+      " and the parameters are [-2.52411998  3.4667436 ] -4.473803633517983 ;\n",
+      "Epoch 380/1000, Cost: 2.4071\n",
+      " and the parameters are [-2.5241908   3.46670037] -4.473842620525551 ;\n",
+      "Epoch 380/1000, Cost: 2.6167\n",
+      " and the parameters are [-2.52415211  3.4667301 ] -4.473878137361174 ;\n",
+      "Epoch 380/1000, Cost: 1.7775\n",
+      " and the parameters are [-2.52414983  3.46679579] -4.473873258519879 ;\n",
+      "Epoch 380/1000, Cost: 4.0888\n",
+      " and the parameters are [-2.52413195  3.4668276 ] -4.473894654706589 ;\n",
+      "Epoch 380/1000, Cost: 2.7838\n",
+      " and the parameters are [-2.52417549  3.46674195] -4.473955833599746 ;\n",
+      "Epoch 380/1000, Cost: 3.8918\n",
+      " and the parameters are [-2.52418554  3.4668211 ] -4.4739288274063185 ;\n",
+      "Epoch 380/1000, Cost: 3.6011\n",
+      " and the parameters are [-2.5242686   3.46674057] -4.473987297611798 ;\n",
+      "Epoch 380/1000, Cost: 2.5702\n",
+      " and the parameters are [-2.52424095  3.46669548] -4.474075000634711 ;\n",
+      "Epoch 380/1000, Cost: 2.3365\n",
+      " and the parameters are [-2.52424751  3.46673305] -4.474092408101768 ;\n",
+      "Epoch 380/1000, Cost: 5.8038\n",
+      " and the parameters are [-2.52422875  3.4667384 ] -4.474127962698222 ;\n",
+      "Epoch 380/1000, Cost: 2.9835\n",
+      " and the parameters are [-2.52426573  3.46667245] -4.474201887129636 ;\n",
+      "Epoch 380/1000, Cost: 3.8392\n",
+      " and the parameters are [-2.52424305  3.46671837] -4.474222879442641 ;\n",
+      "Epoch 380/1000, Cost: 3.0981\n",
+      " and the parameters are [-2.52430372  3.46673934] -4.47421170324442 ;\n",
+      "Epoch 380/1000, Cost: 4.5373\n",
+      " and the parameters are [-2.52442369  3.46664763] -4.474265508029508 ;\n",
+      "Epoch 380/1000, Cost: 3.8474\n",
+      " and the parameters are [-2.5244406   3.46651847] -4.474383058932134 ;\n",
+      "Epoch 380/1000, Cost: 4.8054\n",
+      " and the parameters are [-2.52434258  3.46666973] -4.474369555123675 ;\n",
+      "Epoch 380/1000, Cost: 4.5211\n",
+      " and the parameters are [-2.52442297  3.46662575] -4.474377380874851 ;\n",
+      "Epoch 380/1000, Cost: 4.2648\n",
+      " and the parameters are [-2.52443237  3.46668433] -4.474367590229074 ;\n",
+      "Epoch 380/1000, Cost: 3.8056\n",
+      " and the parameters are [-2.52446217  3.46677628] -4.474313421401383 ;\n",
+      "Epoch 380/1000, Cost: 2.7017\n",
+      " and the parameters are [-2.52447926  3.46687137] -4.474271552385713 ;\n",
+      "Epoch 380/1000, Cost: 2.5774\n",
+      " and the parameters are [-2.52451244  3.46693077] -4.4742559371495165 ;\n",
+      "Epoch 380/1000, Cost: 4.1476\n",
+      " and the parameters are [-2.52464383  3.46686372] -4.47426976631533 ;\n",
+      "Epoch 380/1000, Cost: 5.7486\n",
+      " and the parameters are [-2.52458755  3.46706321] -4.474154284028588 ;\n",
+      "Epoch 380/1000, Cost: 2.3634\n",
+      " and the parameters are [-2.5246871   3.46699281] -4.474187755472638 ;\n",
+      "Epoch 380/1000, Cost: 2.7696\n",
+      " and the parameters are [-2.5246711   3.46705259] -4.474197580028281 ;\n",
+      "Epoch 380/1000, Cost: 2.9201\n",
+      " and the parameters are [-2.52466647  3.4670327 ] -4.474261585160599 ;\n",
+      "Epoch 380/1000, Cost: 1.5554\n",
+      " and the parameters are [-2.52464317  3.46711551] -4.474247712194483 ;\n",
+      "Epoch 380/1000, Cost: 4.2290\n",
+      " and the parameters are [-2.52463063  3.46702943] -4.474345912235504 ;\n",
+      "Epoch 380/1000, Cost: 7.2973\n",
+      " and the parameters are [-2.52475452  3.46684931] -4.474426231211522 ;\n",
+      "Epoch 380/1000, Cost: 5.1652\n",
+      " and the parameters are [-2.52479286  3.46686583] -4.474419719403679 ;\n",
+      "Epoch 380/1000, Cost: 4.6054\n",
+      " and the parameters are [-2.52481348  3.46679975] -4.474477086014843 ;\n",
+      "Epoch 380/1000, Cost: 4.0663\n",
+      " and the parameters are [-2.52481599  3.46688982] -4.474446270772875 ;\n",
+      "Epoch 380/1000, Cost: 4.1306\n",
+      " and the parameters are [-2.5248399   3.46676157] -4.474554367530304 ;\n",
+      "Epoch 380/1000, Cost: 3.4763\n",
+      " and the parameters are [-2.52490682  3.46672217] -4.474592885440062 ;\n",
+      "Epoch 380/1000, Cost: 2.5347\n",
+      " and the parameters are [-2.52491897  3.46678971] -4.474570516652693 ;\n",
+      "Epoch 380/1000, Cost: 3.9287\n",
+      " and the parameters are [-2.52499354  3.46670357] -4.474631165722676 ;\n",
+      "Epoch 380/1000, Cost: 2.0344\n",
+      " and the parameters are [-2.52502021  3.4667504 ] -4.4746300815045625 ;\n",
+      "Epoch 380/1000, Cost: 3.8474\n",
+      " and the parameters are [-2.52511446  3.46668396] -4.474667736423398 ;\n",
+      "Epoch 380/1000, Cost: 1.3417\n",
+      " and the parameters are [-2.52511433  3.46676664] -4.474641292329394 ;\n",
+      "Epoch 380/1000, Cost: 2.7250\n",
+      " and the parameters are [-2.52508836  3.46692529] -4.474575583256817 ;\n",
+      "Epoch 380/1000, Cost: 3.3068\n",
+      " and the parameters are [-2.52508179  3.46690989] -4.474634058493284 ;\n",
+      "Epoch 380/1000, Cost: 2.2214\n",
+      " and the parameters are [-2.52506669  3.46693608] -4.474668223944383 ;\n",
+      "Epoch 380/1000, Cost: 2.9262\n",
+      " and the parameters are [-2.52513328  3.46702327] -4.474605046240521 ;\n",
+      "Epoch 380/1000, Cost: 2.9722\n",
+      " and the parameters are [-2.52511039  3.46703329] -4.474659231066896 ;\n",
+      "Epoch 380/1000, Cost: 3.7394\n",
+      " and the parameters are [-2.52513651  3.46692569] -4.474755758673323 ;\n",
+      "Epoch 380/1000, Cost: 1.2378\n",
+      " and the parameters are [-2.5251456   3.46695672] -4.474755437332722 ;\n",
+      "Epoch 380/1000, Cost: 2.0957\n",
+      " and the parameters are [-2.52511264  3.46698127] -4.474790966006391 ;\n",
+      "Epoch 380/1000, Cost: 3.0636\n",
+      " and the parameters are [-2.52512605  3.46703425] -4.474787585968557 ;\n",
+      "Epoch 380/1000, Cost: 3.8695\n",
+      " and the parameters are [-2.52504331  3.46709328] -4.474818144543591 ;\n",
+      "Epoch 380/1000, Cost: 2.6635\n",
+      " and the parameters are [-2.52500938  3.46713062] -4.474845977137289 ;\n",
+      "Epoch 380/1000, Cost: 3.9899\n",
+      " and the parameters are [-2.52501854  3.46716047] -4.474862816086261 ;\n",
+      "Epoch 380/1000, Cost: 3.8630\n",
+      " and the parameters are [-2.52506209  3.46714188] -4.4748980778810985 ;\n",
+      "Epoch 380/1000, Cost: 2.4916\n",
+      " and the parameters are [-2.52498063  3.46723718] -4.474904086640619 ;\n",
+      "Epoch 380/1000, Cost: 2.7556\n",
+      " and the parameters are [-2.52501969  3.46725036] -4.474905126649868 ;\n",
+      "Epoch 380/1000, Cost: 3.3408\n",
+      " and the parameters are [-2.52506086  3.46732954] -4.474859580887584 ;\n",
+      "Epoch 380/1000, Cost: 3.6041\n",
+      " and the parameters are [-2.52510369  3.46743564] -4.474790138723345 ;\n",
+      "Epoch 380/1000, Cost: 8.5047\n",
+      " and the parameters are [-2.52507133  3.4673354 ] -4.474901621334473 ;\n",
+      "Epoch 380/1000, Cost: 3.4940\n",
+      " and the parameters are [-2.52509747  3.46730674] -4.474949749884917 ;\n",
+      "Epoch 380/1000, Cost: 3.8025\n",
+      " and the parameters are [-2.5251129   3.46731366] -4.47498033505118 ;\n",
+      "Epoch 380/1000, Cost: 4.3782\n",
+      " and the parameters are [-2.5251055   3.46747215] -4.474880531040785 ;\n",
+      "Epoch 380/1000, Cost: 5.3639\n",
+      " and the parameters are [-2.52508772  3.46756243] -4.474837707681179 ;\n",
+      "Epoch 380/1000, Cost: 4.9963\n",
+      " and the parameters are [-2.52503139  3.46751831] -4.474927401869287 ;\n",
+      "Epoch 380/1000, Cost: 2.1202\n",
+      " and the parameters are [-2.52500384  3.46760096] -4.474915031757835 ;\n",
+      "Epoch 380/1000, Cost: 2.8704\n",
+      " and the parameters are [-2.52498736  3.4676045 ] -4.474959138626373 ;\n",
+      "Epoch 380/1000, Cost: 2.7285\n",
+      " and the parameters are [-2.52501086  3.46758914] -4.475002297411881 ;\n",
+      "Epoch 380/1000, Cost: 2.1651\n",
+      " and the parameters are [-2.52500048  3.46758475] -4.475032069777067 ;\n",
+      "Epoch 380/1000, Cost: 4.9950\n",
+      " and the parameters are [-2.52513012  3.46758531] -4.475000951605667 ;\n",
+      "Epoch 380/1000, Cost: 3.0335\n",
+      " and the parameters are [-2.52513249  3.46761798] -4.4750259017703256 ;\n",
+      "Epoch 380/1000, Cost: 4.1766\n",
+      " and the parameters are [-2.52516861  3.46767281] -4.4750230052673245 ;\n",
+      "Epoch 380/1000, Cost: 3.6051\n",
+      " and the parameters are [-2.52519704  3.46771037] -4.475016544450161 ;\n",
+      "Epoch 380/1000, Cost: 1.3928\n",
+      " and the parameters are [-2.52520602  3.46774407] -4.475018642782463 ;\n",
+      "Epoch 380/1000, Cost: 3.8425\n",
+      " and the parameters are [-2.52528389  3.46774525] -4.475025030700487 ;\n",
+      "Epoch 380/1000, Cost: 3.2665\n",
+      " and the parameters are [-2.52526775  3.46771477] -4.4750977876349625 ;\n",
+      "Epoch 380/1000, Cost: 4.5035\n",
+      " and the parameters are [-2.52527561  3.4677637 ] -4.475094459499293 ;\n",
+      "Epoch 380/1000, Cost: 1.2647\n",
+      " and the parameters are [-2.52528632  3.46779885] -4.475096574839557 ;\n",
+      "Epoch 380/1000, Cost: 2.1654\n",
+      " and the parameters are [-2.52526128  3.46786943] -4.47510510659035 ;\n",
+      "Epoch 380/1000, Cost: 3.9341\n",
+      " and the parameters are [-2.52524982  3.46788111] -4.475151541566934 ;\n",
+      "Epoch 380/1000, Cost: 8.1292\n",
+      " and the parameters are [-2.52538618  3.4675997 ] -4.475285306618917 ;\n",
+      "Epoch 380/1000, Cost: 4.4461\n",
+      " and the parameters are [-2.52547661  3.46752548] -4.475351598586448 ;\n",
+      "Epoch 380/1000, Cost: 3.7773\n",
+      " and the parameters are [-2.52544538  3.46758166] -4.475358620446124 ;\n",
+      "Epoch 380/1000, Cost: 2.4925\n",
+      " and the parameters are [-2.52547919  3.46758563] -4.475371356417202 ;\n",
+      "Epoch 380/1000, Cost: 2.0291\n",
+      " and the parameters are [-2.52547826  3.46762184] -4.475386734124276 ;\n",
+      "Epoch 380/1000, Cost: 1.5329\n",
+      " and the parameters are [-2.52547455  3.46770735] -4.475359786374252 ;\n",
+      "Epoch 380/1000, Cost: 5.1517\n",
+      " and the parameters are [-2.52539458  3.46779201] -4.475364732267741 ;\n",
+      "Epoch 380/1000, Cost: 4.1905\n",
+      " and the parameters are [-2.52546265  3.46784412] -4.4753178551469395 ;\n",
+      "Epoch 380/1000, Cost: 3.7228\n",
+      " and the parameters are [-2.52542629  3.4678717 ] -4.475347332509043 ;\n",
+      "Epoch 380/1000, Cost: 3.0668\n",
+      " and the parameters are [-2.52541314  3.46795251] -4.475327973097451 ;\n",
+      "Epoch 380/1000, Cost: 4.3384\n",
+      " and the parameters are [-2.52544583  3.46786442] -4.475405124611659 ;\n",
+      "Epoch 380/1000, Cost: 5.6823\n",
+      " and the parameters are [-2.52538568  3.46779879] -4.475530642191171 ;\n",
+      "Epoch 380/1000, Cost: 4.3739\n",
+      " and the parameters are [-2.52543399  3.46774219] -4.475556106512037 ;\n",
+      "Epoch 380/1000, Cost: 2.0655\n",
+      " and the parameters are [-2.52543145  3.46783996] -4.475524412443981 ;\n",
+      "Epoch 380/1000, Cost: 2.7150\n",
+      " and the parameters are [-2.52545716  3.46789404] -4.475488624171353 ;\n",
+      "Epoch 380/1000, Cost: 2.2650\n",
+      " and the parameters are [-2.52545021  3.46787231] -4.475555182607816 ;\n",
+      "Epoch 380/1000, Cost: 3.0803\n",
+      " and the parameters are [-2.52547793  3.46797873] -4.475487044991186 ;\n",
+      "Epoch 380/1000, Cost: 3.5199\n",
+      " and the parameters are [-2.52542646  3.4679998 ] -4.475536097848073 ;\n",
+      "Epoch 380/1000, Cost: 2.8497\n",
+      " and the parameters are [-2.52545739  3.46802531] -4.475535685065954 ;\n",
+      "Epoch 380/1000, Cost: 2.0019\n",
+      " and the parameters are [-2.5254769   3.46808674] -4.47552514427367 ;\n",
+      "Epoch 380/1000, Cost: 5.9514\n",
+      " and the parameters are [-2.52546251  3.46807306] -4.475570265947207 ;\n",
+      "Epoch 380/1000, Cost: 3.5114\n",
+      " and the parameters are [-2.52548197  3.46806469] -4.475596526390301 ;\n",
+      "Epoch 380/1000, Cost: 2.7141\n",
+      " and the parameters are [-2.52548371  3.46812367] -4.475601044940034 ;\n",
+      "Epoch 380/1000, Cost: 2.9962\n",
+      " and the parameters are [-2.52548305  3.46818054] -4.475598312273664 ;\n",
+      "Epoch 380/1000, Cost: 2.9975\n",
+      " and the parameters are [-2.52545646  3.4681731 ] -4.475654076218221 ;\n",
+      "Epoch 380/1000, Cost: 2.0267\n",
+      " and the parameters are [-2.52543403  3.46821796] -4.4756685824827445 ;\n",
+      "Epoch 380/1000, Cost: 4.6002\n",
+      " and the parameters are [-2.5254807   3.46819336] -4.475685437629232 ;\n",
+      "Epoch 380/1000, Cost: 1.1145\n",
+      " and the parameters are [-2.52549953  3.46822509] -4.475687073067333 ;\n",
+      "Epoch 380/1000, Cost: 1.1172\n",
+      " and the parameters are [-2.52549044  3.46825788] -4.475702454660464 ;\n",
+      "Epoch 380/1000, Cost: 2.7620\n",
+      " and the parameters are [-2.52552442  3.46819687] -4.475773849999269 ;\n",
+      "Epoch 380/1000, Cost: 2.8503\n",
+      " and the parameters are [-2.52557765  3.46823503] -4.475734065068033 ;\n",
+      "Epoch 380/1000, Cost: 4.7152\n",
+      " and the parameters are [-2.52555861  3.46828626] -4.475748248097562 ;\n",
+      "Epoch 380/1000, Cost: 7.5216\n",
+      " and the parameters are [-2.52560671  3.46816794] -4.475818048502811 ;\n",
+      "Epoch 380/1000, Cost: 9.1728\n",
+      " and the parameters are [-2.52560844  3.46789287] -4.476010541082119 ;\n",
+      "Epoch 380/1000, Cost: 3.4640\n",
+      " and the parameters are [-2.52565184  3.46797074] -4.475968963087933 ;\n",
+      "Epoch 380/1000, Cost: 3.5717\n",
+      " and the parameters are [-2.52566608  3.46807372] -4.47590995832517 ;\n",
+      "Epoch 380/1000, Cost: 3.8766\n",
+      " and the parameters are [-2.52566076  3.46810685] -4.47591665338409 ;\n",
+      "Epoch 380/1000, Cost: 1.0201\n",
+      " and the parameters are [-2.52566922  3.46815579] -4.475908885241318 ;\n",
+      "Epoch 380/1000, Cost: 2.7535\n",
+      " and the parameters are [-2.52574214  3.46811796] -4.475939565001026 ;\n",
+      "Epoch 380/1000, Cost: 2.0400\n",
+      " and the parameters are [-2.5257446   3.46818549] -4.475918172414968 ;\n",
+      "Epoch 380/1000, Cost: 5.9303\n",
+      " and the parameters are [-2.52575793  3.46826448] -4.475856668022244 ;\n",
+      "Epoch 380/1000, Cost: 1.7505\n",
+      " and the parameters are [-2.52575769  3.46827534] -4.475883845133067 ;\n",
+      "Epoch 380/1000, Cost: 1.8820\n",
+      " and the parameters are [-2.52573293  3.46838417] -4.475842523032064 ;\n",
+      "Epoch 380/1000, Cost: 2.3006\n",
+      " and the parameters are [-2.52571053  3.46849525] -4.475803209800637 ;\n",
+      "Epoch 380/1000, Cost: 1.8500\n",
+      " and the parameters are [-2.52572224  3.46851345] -4.475824536880297 ;\n",
+      "Epoch 380/1000, Cost: 4.1641\n",
+      " and the parameters are [-2.52576807  3.46853216] -4.475808525755163 ;\n",
+      "Epoch 380/1000, Cost: 5.0376\n",
+      " and the parameters are [-2.52575528  3.46866527] -4.475742526281054 ;\n",
+      "Epoch 380/1000, Cost: 4.0227\n",
+      " and the parameters are [-2.52582795  3.46847876] -4.4758791062213445 ;\n",
+      "Epoch 380/1000, Cost: 6.9235\n",
+      " and the parameters are [-2.52595105  3.46839279] -4.475882935340417 ;\n",
+      "Epoch 380/1000, Cost: 2.3004\n",
+      " and the parameters are [-2.52597899  3.46845673] -4.47586490840399 ;\n",
+      "Epoch 380/1000, Cost: 3.7901\n",
+      " and the parameters are [-2.5260904   3.46832294] -4.475949577842094 ;\n",
+      "Epoch 380/1000, Cost: 2.9458\n",
+      " and the parameters are [-2.52612218  3.46836747] -4.475943467298888 ;\n",
+      "Epoch 380/1000, Cost: 2.1341\n",
+      " and the parameters are [-2.52611232  3.46835156] -4.476002364448763 ;\n",
+      "Epoch 380/1000, Cost: 3.0750\n",
+      " and the parameters are [-2.52606289  3.46839198] -4.476023909485349 ;\n",
+      "Epoch 380/1000, Cost: 2.1544\n",
+      " and the parameters are [-2.52606228  3.46838325] -4.476063895745627 ;\n",
+      "Epoch 380/1000, Cost: 2.4356\n",
+      " and the parameters are [-2.52608705  3.46836261] -4.47611000856706 ;\n",
+      "Epoch 380/1000, Cost: 2.3501\n",
+      " and the parameters are [-2.52608139  3.46842146] -4.476112927658095 ;\n",
+      "Epoch 380/1000, Cost: 3.3735\n",
+      " and the parameters are [-2.52601369  3.46854281] -4.476091908815612 ;\n",
+      "Epoch 380/1000, Cost: 6.1576\n",
+      " and the parameters are [-2.52600136  3.46854837] -4.476120469858881 ;\n",
+      "Epoch 380/1000, Cost: 5.0778\n",
+      " and the parameters are [-2.52600291  3.46842341] -4.476232125768164 ;\n",
+      "Epoch 380/1000, Cost: 9.1524\n",
+      " and the parameters are [-2.52603232  3.46839844] -4.476226607310531 ;\n",
+      "Epoch 380/1000, Cost: 2.2735\n",
+      " and the parameters are [-2.52606052  3.46842718] -4.476239921569945 ;\n",
+      "Epoch 380/1000, Cost: 2.5443\n",
+      " and the parameters are [-2.52602137  3.46848676] -4.476253592556855 ;\n",
+      "Epoch 380/1000, Cost: 5.0897\n",
+      " and the parameters are [-2.5260542   3.46830356] -4.476395635087843 ;\n",
+      "Epoch 380/1000, Cost: 1.9700\n",
+      " and the parameters are [-2.52604748  3.46837331] -4.4763853271663585 ;\n",
+      "Epoch 380/1000, Cost: 2.8116\n",
+      " and the parameters are [-2.52603283  3.46836436] -4.476446845974914 ;\n",
+      "Epoch 380/1000, Cost: 3.0484\n",
+      " and the parameters are [-2.52609052  3.46832773] -4.476470521595151 ;\n",
+      "Epoch 380/1000, Cost: 3.0736\n",
+      " and the parameters are [-2.52611641  3.46832874] -4.476496847088822 ;\n",
+      "Epoch 380/1000, Cost: 2.2557\n",
+      " and the parameters are [-2.52612079  3.46837843] -4.476499323138622 ;\n",
+      "Epoch 380/1000, Cost: 3.6299\n",
+      " and the parameters are [-2.52608848  3.46855019] -4.47643283755955 ;\n",
+      "Epoch 380/1000, Cost: 3.6581\n",
+      " and the parameters are [-2.52613551  3.46844426] -4.476524068641331 ;\n",
+      "Epoch 380/1000, Cost: 2.0360\n",
+      " and the parameters are [-2.52619526  3.46838105] -4.476561301931768 ;\n",
+      "Epoch 380/1000, Cost: 2.7096\n",
+      " and the parameters are [-2.5262507   3.46831612] -4.476609150605194 ;\n",
+      "Epoch 380/1000, Cost: 2.2000\n",
+      " and the parameters are [-2.5262333   3.46837589] -4.476594665920931 ;\n",
+      "Epoch 380/1000, Cost: 4.3732\n",
+      " and the parameters are [-2.52614423  3.46832067] -4.476720178719175 ;\n",
+      "Epoch 380/1000, Cost: 2.2523\n",
+      " and the parameters are [-2.52619504  3.4683008 ] -4.476756458357588 ;\n",
+      "Epoch 380/1000, Cost: 2.4792\n",
+      " and the parameters are [-2.5261555   3.46841797] -4.476735448689627 ;\n",
+      "Epoch 380/1000, Cost: 5.4765\n",
+      " and the parameters are [-2.52613133  3.46831881] -4.476831058882061 ;\n",
+      "Epoch 380/1000, Cost: 4.2342\n",
+      " and the parameters are [-2.52607195  3.46844608] -4.47679642453864 ;\n",
+      "Epoch 380/1000, Cost: 3.0601\n",
+      " and the parameters are [-2.52600154  3.46856427] -4.4767852240979655 ;\n",
+      "Epoch 380/1000, Cost: 5.5349\n",
+      " and the parameters are [-2.52598623  3.46859821] -4.47680262443138 ;\n",
+      "Epoch 380/1000, Cost: 5.2668\n",
+      " and the parameters are [-2.52599448  3.46861035] -4.476813721866615 ;\n",
+      "Epoch 380/1000, Cost: 2.9292\n",
+      " and the parameters are [-2.52599335  3.46870716] -4.476785880330339 ;\n",
+      "Epoch 380/1000, Cost: 1.8974\n",
+      " and the parameters are [-2.52603001  3.46867511] -4.476828815064542 ;\n",
+      "Epoch 380/1000, Cost: 1.5533\n",
+      " and the parameters are [-2.5260203  3.4686864] -4.4768645660874125 ;\n",
+      "Epoch 380/1000, Cost: 2.2844\n",
+      " and the parameters are [-2.5260197   3.46874826] -4.47686267667825 ;\n",
+      "Epoch 390/1000, Cost: 6.7303\n",
+      " and the parameters are [-2.54414074  3.49135088] -4.5091338403129875 ;\n",
+      "Epoch 390/1000, Cost: 2.0900\n",
+      " and the parameters are [-2.54415058  3.49141477] -4.509122046650879 ;\n",
+      "Epoch 390/1000, Cost: 5.6151\n",
+      " and the parameters are [-2.54415448  3.49148102] -4.509074381464407 ;\n",
+      "Epoch 390/1000, Cost: 1.8110\n",
+      " and the parameters are [-2.54416359  3.49154125] -4.509060179701476 ;\n",
+      "Epoch 390/1000, Cost: 4.6499\n",
+      " and the parameters are [-2.54423627  3.49153029] -4.509058565719922 ;\n",
+      "Epoch 390/1000, Cost: 3.1669\n",
+      " and the parameters are [-2.54420061  3.49163446] -4.50903887063445 ;\n",
+      "Epoch 390/1000, Cost: 3.2301\n",
+      " and the parameters are [-2.54422981  3.49161035] -4.509090532559446 ;\n",
+      "Epoch 390/1000, Cost: 3.7377\n",
+      " and the parameters are [-2.54430772  3.49161448] -4.509080795586844 ;\n",
+      "Epoch 390/1000, Cost: 6.4600\n",
+      " and the parameters are [-2.54439059  3.49137614] -4.509232436313582 ;\n",
+      "Epoch 390/1000, Cost: 1.3734\n",
+      " and the parameters are [-2.54442442  3.491379  ] -4.509242151683283 ;\n",
+      "Epoch 390/1000, Cost: 1.8786\n",
+      " and the parameters are [-2.54442769  3.49144693] -4.509229306017432 ;\n",
+      "Epoch 390/1000, Cost: 2.7414\n",
+      " and the parameters are [-2.5444186   3.49158857] -4.509169593785466 ;\n",
+      "Epoch 390/1000, Cost: 4.5597\n",
+      " and the parameters are [-2.54447157  3.49155555] -4.509190973641279 ;\n",
+      "Epoch 390/1000, Cost: 2.8477\n",
+      " and the parameters are [-2.54446122  3.49158028] -4.509203025249544 ;\n",
+      "Epoch 390/1000, Cost: 4.2745\n",
+      " and the parameters are [-2.54446148  3.49161986] -4.509209401052627 ;\n",
+      "Epoch 390/1000, Cost: 4.7745\n",
+      " and the parameters are [-2.54436296  3.49171633] -4.509219674481803 ;\n",
+      "Epoch 390/1000, Cost: 3.6044\n",
+      " and the parameters are [-2.54440855  3.49160566] -4.509308362584549 ;\n",
+      "Epoch 390/1000, Cost: 1.8057\n",
+      " and the parameters are [-2.54438069  3.49168353] -4.509300770547475 ;\n",
+      "Epoch 390/1000, Cost: 3.9310\n",
+      " and the parameters are [-2.54443197  3.49165597] -4.509335316887961 ;\n",
+      "Epoch 390/1000, Cost: 2.4630\n",
+      " and the parameters are [-2.54448584  3.49166649] -4.509341176476616 ;\n",
+      "Epoch 390/1000, Cost: 1.5519\n",
+      " and the parameters are [-2.54450844  3.49167873] -4.5093557880586355 ;\n",
+      "Epoch 390/1000, Cost: 2.0895\n",
+      " and the parameters are [-2.54452071  3.49171007] -4.5093664295775975 ;\n",
+      "Epoch 390/1000, Cost: 2.2040\n",
+      " and the parameters are [-2.54451522  3.49178146] -4.509356512957278 ;\n",
+      "Epoch 390/1000, Cost: 2.2111\n",
+      " and the parameters are [-2.5445527   3.49175586] -4.509399700462526 ;\n",
+      "Epoch 390/1000, Cost: 2.0283\n",
+      " and the parameters are [-2.54451715  3.4918368 ] -4.50939122538527 ;\n",
+      "Epoch 390/1000, Cost: 3.5692\n",
+      " and the parameters are [-2.54450183  3.49186468] -4.509419387833129 ;\n",
+      "Epoch 390/1000, Cost: 1.4001\n",
+      " and the parameters are [-2.54451786  3.49189713] -4.509423374746015 ;\n",
+      "Epoch 390/1000, Cost: 3.6536\n",
+      " and the parameters are [-2.54459012  3.49181297] -4.50946665261119 ;\n",
+      "Epoch 390/1000, Cost: 3.9613\n",
+      " and the parameters are [-2.54462184  3.49175078] -4.5095267472060145 ;\n",
+      "Epoch 390/1000, Cost: 2.2763\n",
+      " and the parameters are [-2.54458074  3.49186081] -4.509500348339732 ;\n",
+      "Epoch 390/1000, Cost: 4.7844\n",
+      " and the parameters are [-2.54454714  3.49185285] -4.509547891815727 ;\n",
+      "Epoch 390/1000, Cost: 2.2660\n",
+      " and the parameters are [-2.54459066  3.49190472] -4.509527352755259 ;\n",
+      "Epoch 390/1000, Cost: 4.0862\n",
+      " and the parameters are [-2.54462824  3.49183213] -4.5096038171306185 ;\n",
+      "Epoch 390/1000, Cost: 4.6187\n",
+      " and the parameters are [-2.5446858   3.49191041] -4.509555403560014 ;\n",
+      "Epoch 390/1000, Cost: 2.7916\n",
+      " and the parameters are [-2.54472314  3.49191882] -4.50957114264381 ;\n",
+      "Epoch 390/1000, Cost: 3.1170\n",
+      " and the parameters are [-2.54476002  3.49194556] -4.50957512720636 ;\n",
+      "Epoch 390/1000, Cost: 5.0847\n",
+      " and the parameters are [-2.54467782  3.4918922 ] -4.50969388332836 ;\n",
+      "Epoch 390/1000, Cost: 2.6921\n",
+      " and the parameters are [-2.54468897  3.49189983] -4.509711460938549 ;\n",
+      "Epoch 390/1000, Cost: 3.6386\n",
+      " and the parameters are [-2.54471495  3.49184792] -4.50977788919549 ;\n",
+      "Epoch 390/1000, Cost: 6.7646\n",
+      " and the parameters are [-2.544689    3.49187001] -4.50977496379578 ;\n",
+      "Epoch 390/1000, Cost: 2.2725\n",
+      " and the parameters are [-2.54472812  3.49186497] -4.509800718022064 ;\n",
+      "Epoch 390/1000, Cost: 3.1669\n",
+      " and the parameters are [-2.54481113  3.49179268] -4.509847314451281 ;\n",
+      "Epoch 390/1000, Cost: 2.0752\n",
+      " and the parameters are [-2.54476804  3.49186934] -4.509845949439337 ;\n",
+      "Epoch 390/1000, Cost: 2.4049\n",
+      " and the parameters are [-2.5448403   3.49176433] -4.509920544667396 ;\n",
+      "Epoch 390/1000, Cost: 5.7102\n",
+      " and the parameters are [-2.54487069  3.49168266] -4.50996536567356 ;\n",
+      "Epoch 390/1000, Cost: 3.4567\n",
+      " and the parameters are [-2.54485956  3.49173567] -4.5099715194580945 ;\n",
+      "Epoch 390/1000, Cost: 2.3363\n",
+      " and the parameters are [-2.54482059  3.49184983] -4.509945672284625 ;\n",
+      "Epoch 390/1000, Cost: 2.5420\n",
+      " and the parameters are [-2.54485775  3.49184111] -4.509969648447936 ;\n",
+      "Epoch 390/1000, Cost: 3.3264\n",
+      " and the parameters are [-2.54489865  3.49174243] -4.51005187596769 ;\n",
+      "Epoch 390/1000, Cost: 1.7700\n",
+      " and the parameters are [-2.54493532  3.49177872] -4.510029573655568 ;\n",
+      "Epoch 390/1000, Cost: 3.0595\n",
+      " and the parameters are [-2.54490032  3.49179102] -4.510075944182698 ;\n",
+      "Epoch 390/1000, Cost: 1.7133\n",
+      " and the parameters are [-2.54495751  3.49180947] -4.5100684292636215 ;\n",
+      "Epoch 390/1000, Cost: 2.2542\n",
+      " and the parameters are [-2.54497368  3.49185816] -4.510063399301251 ;\n",
+      "Epoch 390/1000, Cost: 2.5087\n",
+      " and the parameters are [-2.54495569  3.49187676] -4.510108834797706 ;\n",
+      "Epoch 390/1000, Cost: 5.5198\n",
+      " and the parameters are [-2.5449441   3.49183466] -4.51016970208877 ;\n",
+      "Epoch 390/1000, Cost: 2.3517\n",
+      " and the parameters are [-2.54495398  3.49179664] -4.510231373888333 ;\n",
+      "Epoch 390/1000, Cost: 2.9000\n",
+      " and the parameters are [-2.54496459  3.49185114] -4.510241877500016 ;\n",
+      "Epoch 390/1000, Cost: 3.4797\n",
+      " and the parameters are [-2.54498075  3.49178683] -4.510300431185847 ;\n",
+      "Epoch 390/1000, Cost: 3.1714\n",
+      " and the parameters are [-2.54495118  3.4918506 ] -4.51028278837491 ;\n",
+      "Epoch 390/1000, Cost: 3.5166\n",
+      " and the parameters are [-2.54498162  3.49193093] -4.510229685207985 ;\n",
+      "Epoch 390/1000, Cost: 2.1708\n",
+      " and the parameters are [-2.54493707  3.49202957] -4.510215961743266 ;\n",
+      "Epoch 390/1000, Cost: 3.6266\n",
+      " and the parameters are [-2.54491195  3.49203377] -4.5102624906789295 ;\n",
+      "Epoch 390/1000, Cost: 3.7400\n",
+      " and the parameters are [-2.54491657  3.49199111] -4.5103309810616095 ;\n",
+      "Epoch 390/1000, Cost: 2.0800\n",
+      " and the parameters are [-2.54493652  3.49198287] -4.5103482789809535 ;\n",
+      "Epoch 390/1000, Cost: 2.4464\n",
+      " and the parameters are [-2.54495947  3.49201158] -4.510359407088336 ;\n",
+      "Epoch 390/1000, Cost: 2.7599\n",
+      " and the parameters are [-2.544937    3.49196303] -4.510447079070898 ;\n",
+      "Epoch 390/1000, Cost: 4.1415\n",
+      " and the parameters are [-2.54480137  3.49214064] -4.510398865384717 ;\n",
+      "Epoch 390/1000, Cost: 2.5531\n",
+      " and the parameters are [-2.54480493  3.49224608] -4.510345167442334 ;\n",
+      "Epoch 390/1000, Cost: 7.1942\n",
+      " and the parameters are [-2.54495594  3.49209744] -4.510392945720644 ;\n",
+      "Epoch 390/1000, Cost: 1.2584\n",
+      " and the parameters are [-2.54496573  3.49211673] -4.510408536432733 ;\n",
+      "Epoch 390/1000, Cost: 2.3907\n",
+      " and the parameters are [-2.54490424  3.49219479] -4.510422910965766 ;\n",
+      "Epoch 390/1000, Cost: 3.4721\n",
+      " and the parameters are [-2.54498632  3.49222503] -4.510392181727657 ;\n",
+      "Epoch 390/1000, Cost: 3.6435\n",
+      " and the parameters are [-2.54501901  3.49240157] -4.510278936203897 ;\n",
+      "Epoch 390/1000, Cost: 2.6626\n",
+      " and the parameters are [-2.54503628  3.49248262] -4.5102498960920325 ;\n",
+      "Epoch 390/1000, Cost: 5.6035\n",
+      " and the parameters are [-2.54503666  3.49248529] -4.510278741141875 ;\n",
+      "Epoch 390/1000, Cost: 6.3853\n",
+      " and the parameters are [-2.54505558  3.49260916] -4.510174031823789 ;\n",
+      "Epoch 390/1000, Cost: 3.8421\n",
+      " and the parameters are [-2.54501384  3.49277661] -4.5101173033059405 ;\n",
+      "Epoch 390/1000, Cost: 3.5170\n",
+      " and the parameters are [-2.54501419  3.49276272] -4.510172501883146 ;\n",
+      "Epoch 390/1000, Cost: 4.2345\n",
+      " and the parameters are [-2.5451083   3.49281249] -4.5101131259365 ;\n",
+      "Epoch 390/1000, Cost: 3.3070\n",
+      " and the parameters are [-2.54512648  3.49284364] -4.510135751591864 ;\n",
+      "Epoch 390/1000, Cost: 4.7541\n",
+      " and the parameters are [-2.54521881  3.49286291] -4.510096870060923 ;\n",
+      "Epoch 390/1000, Cost: 3.4133\n",
+      " and the parameters are [-2.54527574  3.49280822] -4.510160495495698 ;\n",
+      "Epoch 390/1000, Cost: 8.2594\n",
+      " and the parameters are [-2.54541103  3.49257072] -4.5102766408251425 ;\n",
+      "Epoch 390/1000, Cost: 2.8721\n",
+      " and the parameters are [-2.54540618  3.49261888] -4.510288443159199 ;\n",
+      "Epoch 390/1000, Cost: 5.9017\n",
+      " and the parameters are [-2.54552687  3.49251073] -4.510337769512999 ;\n",
+      "Epoch 390/1000, Cost: 1.7164\n",
+      " and the parameters are [-2.54555107  3.49253032] -4.510350785524206 ;\n",
+      "Epoch 390/1000, Cost: 2.2935\n",
+      " and the parameters are [-2.54557014  3.4925438 ] -4.510372733440284 ;\n",
+      "Epoch 390/1000, Cost: 5.2273\n",
+      " and the parameters are [-2.54556815  3.49250126] -4.510423872549329 ;\n",
+      "Epoch 390/1000, Cost: 2.6120\n",
+      " and the parameters are [-2.54559185  3.49244199] -4.510484208844258 ;\n",
+      "Epoch 390/1000, Cost: 1.9793\n",
+      " and the parameters are [-2.54554412  3.49252848] -4.510485476334604 ;\n",
+      "Epoch 390/1000, Cost: 4.9657\n",
+      " and the parameters are [-2.54564515  3.492539  ] -4.510452328254034 ;\n",
+      "Epoch 390/1000, Cost: 2.4840\n",
+      " and the parameters are [-2.54566107  3.49256929] -4.510458616824289 ;\n",
+      "Epoch 390/1000, Cost: 5.2367\n",
+      " and the parameters are [-2.54562208  3.49276392] -4.510353114367748 ;\n",
+      "Epoch 390/1000, Cost: 6.1931\n",
+      " and the parameters are [-2.54553596  3.4927339 ] -4.510422795050166 ;\n",
+      "Epoch 390/1000, Cost: 0.9468\n",
+      " and the parameters are [-2.54553251  3.49276689] -4.510431785621446 ;\n",
+      "Epoch 390/1000, Cost: 3.1567\n",
+      " and the parameters are [-2.54551155  3.49272958] -4.510516586567821 ;\n",
+      "Epoch 390/1000, Cost: 5.2245\n",
+      " and the parameters are [-2.54550931  3.49268562] -4.510561232785393 ;\n",
+      "Epoch 390/1000, Cost: 2.8480\n",
+      " and the parameters are [-2.54550573  3.49273289] -4.510564407798832 ;\n",
+      "Epoch 390/1000, Cost: 6.2884\n",
+      " and the parameters are [-2.545478    3.49271171] -4.5106110780792426 ;\n",
+      "Epoch 390/1000, Cost: 5.7765\n",
+      " and the parameters are [-2.54550148  3.49279032] -4.510521600633605 ;\n",
+      "Epoch 390/1000, Cost: 5.1063\n",
+      " and the parameters are [-2.54548644  3.49291559] -4.510464060662276 ;\n",
+      "Epoch 390/1000, Cost: 2.8410\n",
+      " and the parameters are [-2.54548115  3.49299592] -4.5104603873054705 ;\n",
+      "Epoch 390/1000, Cost: 2.2138\n",
+      " and the parameters are [-2.54549156  3.4929488 ] -4.510517577943623 ;\n",
+      "Epoch 390/1000, Cost: 4.5738\n",
+      " and the parameters are [-2.54551719  3.49284078] -4.51058191855068 ;\n",
+      "Epoch 390/1000, Cost: 5.4859\n",
+      " and the parameters are [-2.54552458  3.49288371] -4.5105605456922255 ;\n",
+      "Epoch 390/1000, Cost: 5.2891\n",
+      " and the parameters are [-2.54545636  3.49280291] -4.510680298593809 ;\n",
+      "Epoch 390/1000, Cost: 2.2109\n",
+      " and the parameters are [-2.54547481  3.49277767] -4.510723596003499 ;\n",
+      "Epoch 390/1000, Cost: 7.3852\n",
+      " and the parameters are [-2.54549582  3.4926579 ] -4.510777517518822 ;\n",
+      "Epoch 390/1000, Cost: 4.5982\n",
+      " and the parameters are [-2.54548744  3.49261211] -4.510848484684519 ;\n",
+      "Epoch 390/1000, Cost: 1.7152\n",
+      " and the parameters are [-2.54546759  3.49264444] -4.510872935907371 ;\n",
+      "Epoch 390/1000, Cost: 3.2802\n",
+      " and the parameters are [-2.54547058  3.49272725] -4.5108509517883775 ;\n",
+      "Epoch 390/1000, Cost: 4.0091\n",
+      " and the parameters are [-2.5454336   3.49272477] -4.51091076229018 ;\n",
+      "Epoch 390/1000, Cost: 6.2706\n",
+      " and the parameters are [-2.54554724  3.49254584] -4.510980722496563 ;\n",
+      "Epoch 390/1000, Cost: 5.2574\n",
+      " and the parameters are [-2.54543825  3.492745  ] -4.510920025995228 ;\n",
+      "Epoch 390/1000, Cost: 2.6584\n",
+      " and the parameters are [-2.54545749  3.49279675] -4.5109074934940265 ;\n",
+      "Epoch 390/1000, Cost: 3.5819\n",
+      " and the parameters are [-2.54544599  3.49280671] -4.510928321765685 ;\n",
+      "Epoch 390/1000, Cost: 2.8889\n",
+      " and the parameters are [-2.54550008  3.49277832] -4.510944944081559 ;\n",
+      "Epoch 390/1000, Cost: 1.8711\n",
+      " and the parameters are [-2.54553436  3.49273338] -4.511002492961741 ;\n",
+      "Epoch 390/1000, Cost: 4.0033\n",
+      " and the parameters are [-2.54549073  3.492691  ] -4.511088725218496 ;\n",
+      "Epoch 390/1000, Cost: 3.3735\n",
+      " and the parameters are [-2.54550604  3.49273833] -4.511079720577948 ;\n",
+      "Epoch 390/1000, Cost: 4.6432\n",
+      " and the parameters are [-2.54542776  3.49273923] -4.511154464643201 ;\n",
+      "Epoch 390/1000, Cost: 5.4673\n",
+      " and the parameters are [-2.54548568  3.49260399] -4.511255891462204 ;\n",
+      "Epoch 390/1000, Cost: 6.0819\n",
+      " and the parameters are [-2.54554366  3.49246802] -4.511315232213507 ;\n",
+      "Epoch 390/1000, Cost: 2.8422\n",
+      " and the parameters are [-2.5455988   3.49257819] -4.511252759029638 ;\n",
+      "Epoch 390/1000, Cost: 2.0105\n",
+      " and the parameters are [-2.54558383  3.49260688] -4.511283005026559 ;\n",
+      "Epoch 390/1000, Cost: 2.7825\n",
+      " and the parameters are [-2.54556433  3.49266671] -4.511296688162228 ;\n",
+      "Epoch 390/1000, Cost: 2.4557\n",
+      " and the parameters are [-2.54558018  3.49264127] -4.511349470060798 ;\n",
+      "Epoch 390/1000, Cost: 2.9190\n",
+      " and the parameters are [-2.54561129  3.49269137] -4.511345002096616 ;\n",
+      "Epoch 390/1000, Cost: 3.0368\n",
+      " and the parameters are [-2.54563205  3.49272626] -4.511358420812624 ;\n",
+      "Epoch 390/1000, Cost: 3.2297\n",
+      " and the parameters are [-2.54568446  3.49267347] -4.511412936673009 ;\n",
+      "Epoch 390/1000, Cost: 2.2580\n",
+      " and the parameters are [-2.54573923  3.4926905 ] -4.511403642257686 ;\n",
+      "Epoch 390/1000, Cost: 2.4463\n",
+      " and the parameters are [-2.54575965  3.49263808] -4.511470836962233 ;\n",
+      "Epoch 390/1000, Cost: 4.5876\n",
+      " and the parameters are [-2.54574049  3.49269568] -4.511479976878182 ;\n",
+      "Epoch 390/1000, Cost: 2.4548\n",
+      " and the parameters are [-2.545795    3.49272761] -4.511471806041823 ;\n",
+      "Epoch 390/1000, Cost: 3.5862\n",
+      " and the parameters are [-2.54582612  3.49265461] -4.51153862611768 ;\n",
+      "Epoch 390/1000, Cost: 3.3063\n",
+      " and the parameters are [-2.54588566  3.49273302] -4.511467860637396 ;\n",
+      "Epoch 390/1000, Cost: 6.6172\n",
+      " and the parameters are [-2.54590252  3.49279207] -4.511422064499124 ;\n",
+      "Epoch 390/1000, Cost: 2.5663\n",
+      " and the parameters are [-2.54587112  3.49283199] -4.511449513630274 ;\n",
+      "Epoch 390/1000, Cost: 4.2659\n",
+      " and the parameters are [-2.54589213  3.49276653] -4.511495753158387 ;\n",
+      "Epoch 390/1000, Cost: 4.3263\n",
+      " and the parameters are [-2.545889   3.4928353] -4.511450431515342 ;\n",
+      "Epoch 390/1000, Cost: 3.9245\n",
+      " and the parameters are [-2.54579105  3.49291021] -4.5114819564466355 ;\n",
+      "Epoch 390/1000, Cost: 3.8989\n",
+      " and the parameters are [-2.54571769  3.49301753] -4.51147561313063 ;\n",
+      "Epoch 390/1000, Cost: 4.0539\n",
+      " and the parameters are [-2.5457113   3.49304712] -4.51148243159033 ;\n",
+      "Epoch 390/1000, Cost: 4.8879\n",
+      " and the parameters are [-2.54559159  3.49311423] -4.511522354854148 ;\n",
+      "Epoch 390/1000, Cost: 3.7738\n",
+      " and the parameters are [-2.54559094  3.49307246] -4.511581182095454 ;\n",
+      "Epoch 390/1000, Cost: 3.3889\n",
+      " and the parameters are [-2.54554279  3.49309235] -4.511643303402505 ;\n",
+      "Epoch 390/1000, Cost: 2.8449\n",
+      " and the parameters are [-2.54558395  3.49310779] -4.511645281385223 ;\n",
+      "Epoch 390/1000, Cost: 4.2924\n",
+      " and the parameters are [-2.54549583  3.4931726 ] -4.5116826827967875 ;\n",
+      "Epoch 390/1000, Cost: 4.3725\n",
+      " and the parameters are [-2.54550037  3.4931907 ] -4.511701217806832 ;\n",
+      "Epoch 390/1000, Cost: 1.5210\n",
+      " and the parameters are [-2.54550973  3.49326663] -4.51167514824218 ;\n",
+      "Epoch 390/1000, Cost: 3.5045\n",
+      " and the parameters are [-2.54557623  3.49328112] -4.511651463059569 ;\n",
+      "Epoch 390/1000, Cost: 2.9690\n",
+      " and the parameters are [-2.54553804  3.49342486] -4.511600418807379 ;\n",
+      "Epoch 390/1000, Cost: 2.5178\n",
+      " and the parameters are [-2.54559062  3.49342583] -4.511603736502724 ;\n",
+      "Epoch 390/1000, Cost: 3.2429\n",
+      " and the parameters are [-2.54567088  3.49336089] -4.5116360227302135 ;\n",
+      "Epoch 390/1000, Cost: 2.8026\n",
+      " and the parameters are [-2.54571594  3.49337386] -4.511651987041287 ;\n",
+      "Epoch 390/1000, Cost: 2.1238\n",
+      " and the parameters are [-2.54570683  3.49336061] -4.511705016443342 ;\n",
+      "Epoch 390/1000, Cost: 3.3862\n",
+      " and the parameters are [-2.54566891  3.49344592] -4.511692736563948 ;\n",
+      "Epoch 390/1000, Cost: 3.9218\n",
+      " and the parameters are [-2.54568673  3.49349861] -4.51168693036816 ;\n",
+      "Epoch 390/1000, Cost: 3.7475\n",
+      " and the parameters are [-2.54569121  3.49345878] -4.5117550862465094 ;\n",
+      "Epoch 390/1000, Cost: 2.6295\n",
+      " and the parameters are [-2.54571154  3.49349832] -4.51175848286 ;\n",
+      "Epoch 390/1000, Cost: 2.0818\n",
+      " and the parameters are [-2.54565039  3.49360576] -4.511747101298453 ;\n",
+      "Epoch 390/1000, Cost: 3.1840\n",
+      " and the parameters are [-2.54566285  3.49357949] -4.511789570872639 ;\n",
+      "Epoch 390/1000, Cost: 2.0363\n",
+      " and the parameters are [-2.54564127  3.49360164] -4.5118277667228925 ;\n",
+      "Epoch 390/1000, Cost: 1.8411\n",
+      " and the parameters are [-2.54566084  3.49360114] -4.511860603622832 ;\n",
+      "Epoch 390/1000, Cost: 4.1409\n",
+      " and the parameters are [-2.54571334  3.49356359] -4.511907234383031 ;\n",
+      "Epoch 390/1000, Cost: 3.7985\n",
+      " and the parameters are [-2.54575867  3.49344194] -4.512014130975368 ;\n",
+      "Epoch 390/1000, Cost: 5.5963\n",
+      " and the parameters are [-2.54575146  3.4933376 ] -4.512145845969541 ;\n",
+      "Epoch 390/1000, Cost: 3.9288\n",
+      " and the parameters are [-2.54580686  3.4933255 ] -4.512176573988114 ;\n",
+      "Epoch 390/1000, Cost: 4.3531\n",
+      " and the parameters are [-2.54582015  3.49328468] -4.512231144369545 ;\n",
+      "Epoch 390/1000, Cost: 2.8902\n",
+      " and the parameters are [-2.54586925  3.493251  ] -4.512255701190152 ;\n",
+      "Epoch 390/1000, Cost: 2.7770\n",
+      " and the parameters are [-2.54589773  3.49323283] -4.512286196316786 ;\n",
+      "Epoch 390/1000, Cost: 6.2194\n",
+      " and the parameters are [-2.54591365  3.49323575] -4.512282360253228 ;\n",
+      "Epoch 390/1000, Cost: 5.5377\n",
+      " and the parameters are [-2.54592275  3.49332293] -4.512238527359226 ;\n",
+      "Epoch 390/1000, Cost: 3.2398\n",
+      " and the parameters are [-2.54593478  3.49332219] -4.512286898468134 ;\n",
+      "Epoch 390/1000, Cost: 6.5970\n",
+      " and the parameters are [-2.54585553  3.49345386] -4.5122634412412985 ;\n",
+      "Epoch 390/1000, Cost: 4.0824\n",
+      " and the parameters are [-2.54584191  3.49350064] -4.512275208962513 ;\n",
+      "Epoch 390/1000, Cost: 1.6014\n",
+      " and the parameters are [-2.54588503  3.49352647] -4.512269317637868 ;\n",
+      "Epoch 390/1000, Cost: 2.4646\n",
+      " and the parameters are [-2.54589566  3.49351264] -4.512312658240371 ;\n",
+      "Epoch 390/1000, Cost: 1.6885\n",
+      " and the parameters are [-2.54587315  3.49359337] -4.512294282647452 ;\n",
+      "Epoch 390/1000, Cost: 2.7017\n",
+      " and the parameters are [-2.54589638  3.49350841] -4.5123766439498265 ;\n",
+      "Epoch 390/1000, Cost: 2.1965\n",
+      " and the parameters are [-2.54593762  3.49345888] -4.512428892570296 ;\n",
+      "Epoch 390/1000, Cost: 2.5343\n",
+      " and the parameters are [-2.54595703  3.49351554] -4.512418010549089 ;\n",
+      "Epoch 390/1000, Cost: 2.6644\n",
+      " and the parameters are [-2.54607858  3.49337344] -4.512493872575391 ;\n",
+      "Epoch 390/1000, Cost: 3.3451\n",
+      " and the parameters are [-2.5461062   3.49328346] -4.5125784126742685 ;\n",
+      "Epoch 390/1000, Cost: 6.5072\n",
+      " and the parameters are [-2.54611345  3.49316182] -4.5126900850089315 ;\n",
+      "Epoch 390/1000, Cost: 5.4306\n",
+      " and the parameters are [-2.54607304  3.49332246] -4.512611818490627 ;\n",
+      "Epoch 390/1000, Cost: 1.2876\n",
+      " and the parameters are [-2.54603114  3.49338273] -4.512616159426378 ;\n",
+      "Epoch 390/1000, Cost: 3.0972\n",
+      " and the parameters are [-2.54600559  3.49341989] -4.512638221707035 ;\n",
+      "Epoch 390/1000, Cost: 3.2571\n",
+      " and the parameters are [-2.54597733  3.49352376] -4.512617896144066 ;\n",
+      "Epoch 390/1000, Cost: 4.1621\n",
+      " and the parameters are [-2.54604562  3.49348183] -4.512642718019035 ;\n",
+      "Epoch 390/1000, Cost: 1.3470\n",
+      " and the parameters are [-2.54606743  3.49355751] -4.51260414855441 ;\n",
+      "Epoch 390/1000, Cost: 3.8301\n",
+      " and the parameters are [-2.54612355  3.49349253] -4.512653628068679 ;\n",
+      "Epoch 390/1000, Cost: 6.8034\n",
+      " and the parameters are [-2.54622306  3.49342067] -4.512682013688022 ;\n",
+      "Epoch 390/1000, Cost: 2.7274\n",
+      " and the parameters are [-2.54620256  3.49343763] -4.512711805639199 ;\n",
+      "Epoch 390/1000, Cost: 2.5175\n",
+      " and the parameters are [-2.54619578  3.49353   ] -4.5126744985192975 ;\n",
+      "Epoch 390/1000, Cost: 2.5520\n",
+      " and the parameters are [-2.54621208  3.49354993] -4.512690260041937 ;\n",
+      "Epoch 390/1000, Cost: 5.1371\n",
+      " and the parameters are [-2.5461822   3.49358083] -4.5127145045245936 ;\n",
+      "Epoch 390/1000, Cost: 2.8461\n",
+      " and the parameters are [-2.54622623  3.49353422] -4.512766961839646 ;\n",
+      "Epoch 390/1000, Cost: 2.2735\n",
+      " and the parameters are [-2.54624682  3.49356333] -4.512763326254297 ;\n",
+      "Epoch 390/1000, Cost: 3.1361\n",
+      " and the parameters are [-2.54620834  3.49358948] -4.512812568372317 ;\n",
+      "Epoch 400/1000, Cost: 2.2023\n",
+      " and the parameters are [-2.56397364  3.51559837] -4.544388061725499 ;\n",
+      "Epoch 400/1000, Cost: 2.4989\n",
+      " and the parameters are [-2.56396577  3.51560779] -4.544430277223942 ;\n",
+      "Epoch 400/1000, Cost: 4.2251\n",
+      " and the parameters are [-2.56407439  3.51558678] -4.544423647935189 ;\n",
+      "Epoch 400/1000, Cost: 3.2735\n",
+      " and the parameters are [-2.56411348  3.51565815] -4.544390895399103 ;\n",
+      "Epoch 400/1000, Cost: 1.7864\n",
+      " and the parameters are [-2.56416023  3.51565399] -4.544400559401065 ;\n",
+      "Epoch 400/1000, Cost: 5.2294\n",
+      " and the parameters are [-2.56409476  3.51571119] -4.5444308383799195 ;\n",
+      "Epoch 400/1000, Cost: 4.5069\n",
+      " and the parameters are [-2.5640665   3.51568705] -4.5444888956694625 ;\n",
+      "Epoch 400/1000, Cost: 2.8690\n",
+      " and the parameters are [-2.56407677  3.51561985] -4.5445735408292025 ;\n",
+      "Epoch 400/1000, Cost: 9.1264\n",
+      " and the parameters are [-2.56410318  3.51560561] -4.544558751030956 ;\n",
+      "Epoch 400/1000, Cost: 2.0143\n",
+      " and the parameters are [-2.56413624  3.51566376] -4.54453926445531 ;\n",
+      "Epoch 400/1000, Cost: 2.5995\n",
+      " and the parameters are [-2.56420297  3.51560849] -4.544582315853473 ;\n",
+      "Epoch 400/1000, Cost: 3.8750\n",
+      " and the parameters are [-2.56421905  3.51561888] -4.544601092428515 ;\n",
+      "Epoch 400/1000, Cost: 3.7912\n",
+      " and the parameters are [-2.56428885  3.51557106] -4.544631071193677 ;\n",
+      "Epoch 400/1000, Cost: 1.5123\n",
+      " and the parameters are [-2.56430831  3.51561342] -4.5446172909610265 ;\n",
+      "Epoch 400/1000, Cost: 1.4812\n",
+      " and the parameters are [-2.56434032  3.51562908] -4.5446273927904395 ;\n",
+      "Epoch 400/1000, Cost: 3.0560\n",
+      " and the parameters are [-2.56438607  3.51566951] -4.544594592997305 ;\n",
+      "Epoch 400/1000, Cost: 4.0702\n",
+      " and the parameters are [-2.56436314  3.51571085] -4.544619534473273 ;\n",
+      "Epoch 400/1000, Cost: 4.3863\n",
+      " and the parameters are [-2.56434108  3.51579003] -4.544600743451223 ;\n",
+      "Epoch 400/1000, Cost: 1.3538\n",
+      " and the parameters are [-2.56431642  3.51586672] -4.544591108602747 ;\n",
+      "Epoch 400/1000, Cost: 4.7384\n",
+      " and the parameters are [-2.56430778  3.51584768] -4.544649775349451 ;\n",
+      "Epoch 400/1000, Cost: 2.0332\n",
+      " and the parameters are [-2.56431486  3.51592194] -4.5446290465221555 ;\n",
+      "Epoch 400/1000, Cost: 6.0860\n",
+      " and the parameters are [-2.56430237  3.51602837] -4.5445668232312295 ;\n",
+      "Epoch 400/1000, Cost: 4.2067\n",
+      " and the parameters are [-2.56434379  3.51603646] -4.544576956565511 ;\n",
+      "Epoch 400/1000, Cost: 4.7287\n",
+      " and the parameters are [-2.56434249  3.51595888] -4.544651663789856 ;\n",
+      "Epoch 400/1000, Cost: 3.3809\n",
+      " and the parameters are [-2.56441852  3.51593767] -4.544652231031984 ;\n",
+      "Epoch 400/1000, Cost: 2.9727\n",
+      " and the parameters are [-2.56438575  3.51594174] -4.544703848453338 ;\n",
+      "Epoch 400/1000, Cost: 2.6629\n",
+      " and the parameters are [-2.56443777  3.51600156] -4.544663340440732 ;\n",
+      "Epoch 400/1000, Cost: 2.4794\n",
+      " and the parameters are [-2.56447868  3.51601401] -4.544671313565928 ;\n",
+      "Epoch 400/1000, Cost: 13.1361\n",
+      " and the parameters are [-2.56450893  3.51593906] -4.544661784199074 ;\n",
+      "Epoch 400/1000, Cost: 3.2294\n",
+      " and the parameters are [-2.56456976  3.51588003] -4.544695783725838 ;\n",
+      "Epoch 400/1000, Cost: 2.9783\n",
+      " and the parameters are [-2.56459407  3.51586672] -4.544743507474493 ;\n",
+      "Epoch 400/1000, Cost: 3.3520\n",
+      " and the parameters are [-2.56461041  3.51583428] -4.544800856572341 ;\n",
+      "Epoch 400/1000, Cost: 3.3123\n",
+      " and the parameters are [-2.56461371  3.51581454] -4.544858825229519 ;\n",
+      "Epoch 400/1000, Cost: 2.2767\n",
+      " and the parameters are [-2.56464927  3.51581429] -4.544881259164007 ;\n",
+      "Epoch 400/1000, Cost: 1.1158\n",
+      " and the parameters are [-2.5646572   3.51583622] -4.544892811237019 ;\n",
+      "Epoch 400/1000, Cost: 2.1481\n",
+      " and the parameters are [-2.56469333  3.51578525] -4.544944171958727 ;\n",
+      "Epoch 400/1000, Cost: 5.1736\n",
+      " and the parameters are [-2.56464042  3.5156905 ] -4.545071313741411 ;\n",
+      "Epoch 400/1000, Cost: 4.1570\n",
+      " and the parameters are [-2.56468176  3.51566715] -4.5451118778646595 ;\n",
+      "Epoch 400/1000, Cost: 6.3340\n",
+      " and the parameters are [-2.56460656  3.5156102 ] -4.545207528933733 ;\n",
+      "Epoch 400/1000, Cost: 5.9614\n",
+      " and the parameters are [-2.56466096  3.51551045] -4.5452899853413715 ;\n",
+      "Epoch 400/1000, Cost: 2.9203\n",
+      " and the parameters are [-2.56465714  3.5155166 ] -4.545333196706696 ;\n",
+      "Epoch 400/1000, Cost: 3.5339\n",
+      " and the parameters are [-2.56469653  3.51555182] -4.5453259256857725 ;\n",
+      "Epoch 400/1000, Cost: 2.6447\n",
+      " and the parameters are [-2.56472556  3.51552329] -4.545362504556025 ;\n",
+      "Epoch 400/1000, Cost: 2.0835\n",
+      " and the parameters are [-2.56474459  3.51557281] -4.545356418121252 ;\n",
+      "Epoch 400/1000, Cost: 2.3172\n",
+      " and the parameters are [-2.56475151  3.51563015] -4.545360309042818 ;\n",
+      "Epoch 400/1000, Cost: 2.6932\n",
+      " and the parameters are [-2.56481792  3.51562089] -4.545372507363596 ;\n",
+      "Epoch 400/1000, Cost: 1.7143\n",
+      " and the parameters are [-2.56484704  3.51561285] -4.54539904764565 ;\n",
+      "Epoch 400/1000, Cost: 1.3037\n",
+      " and the parameters are [-2.56481602  3.51565666] -4.545417946105346 ;\n",
+      "Epoch 400/1000, Cost: 4.3280\n",
+      " and the parameters are [-2.56468338  3.51589395] -4.545349432024497 ;\n",
+      "Epoch 400/1000, Cost: 2.3238\n",
+      " and the parameters are [-2.56467555  3.51600677] -4.545308951610148 ;\n",
+      "Epoch 400/1000, Cost: 2.9393\n",
+      " and the parameters are [-2.56466736  3.51600181] -4.545363457838924 ;\n",
+      "Epoch 400/1000, Cost: 3.4237\n",
+      " and the parameters are [-2.56469854  3.51607689] -4.545337951365629 ;\n",
+      "Epoch 400/1000, Cost: 2.8739\n",
+      " and the parameters are [-2.56471191  3.51603921] -4.545400830718697 ;\n",
+      "Epoch 400/1000, Cost: 1.3337\n",
+      " and the parameters are [-2.56472563  3.51608708] -4.545392793338125 ;\n",
+      "Epoch 400/1000, Cost: 3.6786\n",
+      " and the parameters are [-2.5648487   3.51599244] -4.54542618576563 ;\n",
+      "Epoch 400/1000, Cost: 4.8909\n",
+      " and the parameters are [-2.56488283  3.51604527] -4.545415306830931 ;\n",
+      "Epoch 400/1000, Cost: 1.5618\n",
+      " and the parameters are [-2.56487146  3.51606625] -4.545446832784945 ;\n",
+      "Epoch 400/1000, Cost: 3.9577\n",
+      " and the parameters are [-2.56498259  3.51603859] -4.545433356761866 ;\n",
+      "Epoch 400/1000, Cost: 3.7979\n",
+      " and the parameters are [-2.56494749  3.51596046] -4.54553474957593 ;\n",
+      "Epoch 400/1000, Cost: 4.6710\n",
+      " and the parameters are [-2.56505355  3.51589744] -4.545552564590297 ;\n",
+      "Epoch 400/1000, Cost: 2.7265\n",
+      " and the parameters are [-2.5651365   3.51597141] -4.545483281083982 ;\n",
+      "Epoch 400/1000, Cost: 4.5789\n",
+      " and the parameters are [-2.56512714  3.51604279] -4.54545926725435 ;\n",
+      "Epoch 400/1000, Cost: 6.2619\n",
+      " and the parameters are [-2.56509133  3.51608647] -4.545440602062301 ;\n",
+      "Epoch 400/1000, Cost: 2.0419\n",
+      " and the parameters are [-2.56508132  3.5161891 ] -4.545413547772721 ;\n",
+      "Epoch 400/1000, Cost: 7.6906\n",
+      " and the parameters are [-2.56510199  3.5161961 ] -4.545447142853242 ;\n",
+      "Epoch 400/1000, Cost: 2.3152\n",
+      " and the parameters are [-2.5651366   3.51620516] -4.545469227210757 ;\n",
+      "Epoch 400/1000, Cost: 1.7637\n",
+      " and the parameters are [-2.56516503  3.51620092] -4.545490442788379 ;\n",
+      "Epoch 400/1000, Cost: 4.9764\n",
+      " and the parameters are [-2.56519163  3.51626344] -4.545471366643825 ;\n",
+      "Epoch 400/1000, Cost: 3.3503\n",
+      " and the parameters are [-2.56521654  3.51638525] -4.545410164796564 ;\n",
+      "Epoch 400/1000, Cost: 3.3118\n",
+      " and the parameters are [-2.56523263  3.51644907] -4.545390117747152 ;\n",
+      "Epoch 400/1000, Cost: 0.9382\n",
+      " and the parameters are [-2.56523792  3.51646896] -4.545402127121177 ;\n",
+      "Epoch 400/1000, Cost: 1.7015\n",
+      " and the parameters are [-2.56526632  3.51647406] -4.545419287655029 ;\n",
+      "Epoch 400/1000, Cost: 5.4765\n",
+      " and the parameters are [-2.56530008  3.51636659] -4.5455040569537335 ;\n",
+      "Epoch 400/1000, Cost: 4.0056\n",
+      " and the parameters are [-2.56529564  3.5162741 ] -4.545615266349023 ;\n",
+      "Epoch 400/1000, Cost: 2.9884\n",
+      " and the parameters are [-2.5653102   3.51625814] -4.54565986826928 ;\n",
+      "Epoch 400/1000, Cost: 2.5944\n",
+      " and the parameters are [-2.56531178  3.51627494] -4.545674784831256 ;\n",
+      "Epoch 400/1000, Cost: 6.0951\n",
+      " and the parameters are [-2.56528488  3.51633829] -4.545634862184228 ;\n",
+      "Epoch 400/1000, Cost: 8.7832\n",
+      " and the parameters are [-2.56524067  3.5164401 ] -4.545569143771485 ;\n",
+      "Epoch 400/1000, Cost: 3.7380\n",
+      " and the parameters are [-2.56528468  3.51640542] -4.545601823434479 ;\n",
+      "Epoch 400/1000, Cost: 3.6035\n",
+      " and the parameters are [-2.56526518  3.51647474] -4.545595192297618 ;\n",
+      "Epoch 400/1000, Cost: 2.4683\n",
+      " and the parameters are [-2.56526898  3.51650908] -4.545617420065253 ;\n",
+      "Epoch 400/1000, Cost: 2.4096\n",
+      " and the parameters are [-2.56525247  3.51653182] -4.54564480506195 ;\n",
+      "Epoch 400/1000, Cost: 2.9056\n",
+      " and the parameters are [-2.56521236  3.516491  ] -4.545719073173585 ;\n",
+      "Epoch 400/1000, Cost: 2.4492\n",
+      " and the parameters are [-2.56523199  3.51643254] -4.545790177735772 ;\n",
+      "Epoch 400/1000, Cost: 3.6182\n",
+      " and the parameters are [-2.56528824  3.51640487] -4.545818543722495 ;\n",
+      "Epoch 400/1000, Cost: 4.0808\n",
+      " and the parameters are [-2.56529538  3.516311  ] -4.545898781829348 ;\n",
+      "Epoch 400/1000, Cost: 4.3495\n",
+      " and the parameters are [-2.5653723   3.51630658] -4.545903470870776 ;\n",
+      "Epoch 400/1000, Cost: 3.5261\n",
+      " and the parameters are [-2.56535873  3.51639561] -4.5458699551881665 ;\n",
+      "Epoch 400/1000, Cost: 2.9473\n",
+      " and the parameters are [-2.5653742   3.51647509] -4.545825539228541 ;\n",
+      "Epoch 400/1000, Cost: 1.6853\n",
+      " and the parameters are [-2.5653808   3.51656843] -4.545787529924831 ;\n",
+      "Epoch 400/1000, Cost: 5.0202\n",
+      " and the parameters are [-2.56542298  3.51651327] -4.545826429971901 ;\n",
+      "Epoch 400/1000, Cost: 3.0313\n",
+      " and the parameters are [-2.56547409  3.51656227] -4.54580571831846 ;\n",
+      "Epoch 400/1000, Cost: 1.6180\n",
+      " and the parameters are [-2.56545958  3.51662221] -4.545803093214935 ;\n",
+      "Epoch 400/1000, Cost: 2.0232\n",
+      " and the parameters are [-2.56543181  3.51663231] -4.5458499568503035 ;\n",
+      "Epoch 400/1000, Cost: 2.5942\n",
+      " and the parameters are [-2.56545324  3.51667068] -4.5458547002459335 ;\n",
+      "Epoch 400/1000, Cost: 2.0487\n",
+      " and the parameters are [-2.56543258  3.51672457] -4.545856695772571 ;\n",
+      "Epoch 400/1000, Cost: 4.0807\n",
+      " and the parameters are [-2.56547948  3.51660208] -4.545966632025292 ;\n",
+      "Epoch 400/1000, Cost: 2.3273\n",
+      " and the parameters are [-2.56546107  3.51656368] -4.546040149974202 ;\n",
+      "Epoch 400/1000, Cost: 4.1776\n",
+      " and the parameters are [-2.56545762  3.51649325] -4.546116479219851 ;\n",
+      "Epoch 400/1000, Cost: 3.4363\n",
+      " and the parameters are [-2.56553888  3.51648018] -4.546138598597676 ;\n",
+      "Epoch 400/1000, Cost: 1.5900\n",
+      " and the parameters are [-2.56548659  3.51654449] -4.546156437647422 ;\n",
+      "Epoch 400/1000, Cost: 3.0584\n",
+      " and the parameters are [-2.56554934  3.51642206] -4.546235779294669 ;\n",
+      "Epoch 400/1000, Cost: 5.8961\n",
+      " and the parameters are [-2.56565677  3.51626482] -4.546301309795642 ;\n",
+      "Epoch 400/1000, Cost: 2.2790\n",
+      " and the parameters are [-2.56565652  3.51630012] -4.546313262684475 ;\n",
+      "Epoch 400/1000, Cost: 2.6176\n",
+      " and the parameters are [-2.56562512  3.51639496] -4.546304158558468 ;\n",
+      "Epoch 400/1000, Cost: 2.8205\n",
+      " and the parameters are [-2.56564523  3.51646657] -4.546263136004731 ;\n",
+      "Epoch 400/1000, Cost: 3.1120\n",
+      " and the parameters are [-2.56561353  3.51653258] -4.546276396643994 ;\n",
+      "Epoch 400/1000, Cost: 1.6994\n",
+      " and the parameters are [-2.56560541  3.51662401] -4.546251310542581 ;\n",
+      "Epoch 400/1000, Cost: 2.6395\n",
+      " and the parameters are [-2.56557335  3.51674963] -4.546210132779569 ;\n",
+      "Epoch 400/1000, Cost: 2.6892\n",
+      " and the parameters are [-2.56556235  3.51681377] -4.546202342742045 ;\n",
+      "Epoch 400/1000, Cost: 4.4155\n",
+      " and the parameters are [-2.56559329  3.51668067] -4.546305868142628 ;\n",
+      "Epoch 400/1000, Cost: 2.5682\n",
+      " and the parameters are [-2.56558946  3.51677172] -4.546290305603324 ;\n",
+      "Epoch 400/1000, Cost: 4.7649\n",
+      " and the parameters are [-2.56550979  3.51683624] -4.546304515972827 ;\n",
+      "Epoch 400/1000, Cost: 3.9610\n",
+      " and the parameters are [-2.56555796  3.51679187] -4.546357259109255 ;\n",
+      "Epoch 400/1000, Cost: 1.5128\n",
+      " and the parameters are [-2.56553413  3.516846  ] -4.546363193385211 ;\n",
+      "Epoch 400/1000, Cost: 5.8616\n",
+      " and the parameters are [-2.56549691  3.51694004] -4.546317777848243 ;\n",
+      "Epoch 400/1000, Cost: 5.9219\n",
+      " and the parameters are [-2.56552847  3.51700202] -4.546259104308961 ;\n",
+      "Epoch 400/1000, Cost: 4.7503\n",
+      " and the parameters are [-2.56556976  3.51685652] -4.546379425176723 ;\n",
+      "Epoch 400/1000, Cost: 3.0104\n",
+      " and the parameters are [-2.56555267  3.51693679] -4.546358434689621 ;\n",
+      "Epoch 400/1000, Cost: 6.0240\n",
+      " and the parameters are [-2.56560308  3.51690223] -4.546350396732317 ;\n",
+      "Epoch 400/1000, Cost: 3.8245\n",
+      " and the parameters are [-2.56557119  3.51700632] -4.546327351395241 ;\n",
+      "Epoch 400/1000, Cost: 3.2011\n",
+      " and the parameters are [-2.56561974  3.51700259] -4.546340066698487 ;\n",
+      "Epoch 400/1000, Cost: 6.1017\n",
+      " and the parameters are [-2.56570928  3.51689627] -4.546394643280181 ;\n",
+      "Epoch 400/1000, Cost: 2.8368\n",
+      " and the parameters are [-2.56570334  3.5169459 ] -4.546388825964038 ;\n",
+      "Epoch 400/1000, Cost: 2.5069\n",
+      " and the parameters are [-2.56575577  3.51694551] -4.546386212697943 ;\n",
+      "Epoch 400/1000, Cost: 3.5860\n",
+      " and the parameters are [-2.56570203  3.51701066] -4.54639018897655 ;\n",
+      "Epoch 400/1000, Cost: 4.5335\n",
+      " and the parameters are [-2.56566977  3.51710998] -4.54636833527778 ;\n",
+      "Epoch 400/1000, Cost: 5.6324\n",
+      " and the parameters are [-2.56566391  3.51714339] -4.546362365397555 ;\n",
+      "Epoch 400/1000, Cost: 2.9388\n",
+      " and the parameters are [-2.56563297  3.51719735] -4.546382339174206 ;\n",
+      "Epoch 400/1000, Cost: 3.7058\n",
+      " and the parameters are [-2.56562629  3.51712238] -4.546472356193944 ;\n",
+      "Epoch 400/1000, Cost: 2.3803\n",
+      " and the parameters are [-2.56561811  3.51711256] -4.546515146704231 ;\n",
+      "Epoch 400/1000, Cost: 7.2210\n",
+      " and the parameters are [-2.56559708  3.51708634] -4.5465461590332765 ;\n",
+      "Epoch 400/1000, Cost: 1.7196\n",
+      " and the parameters are [-2.56561733  3.51708413] -4.546578978754123 ;\n",
+      "Epoch 400/1000, Cost: 2.1129\n",
+      " and the parameters are [-2.56558287  3.51716199] -4.546569121765831 ;\n",
+      "Epoch 400/1000, Cost: 3.5340\n",
+      " and the parameters are [-2.56557213  3.51725024] -4.546537415163202 ;\n",
+      "Epoch 400/1000, Cost: 3.0605\n",
+      " and the parameters are [-2.56549387  3.51725999] -4.546603806724529 ;\n",
+      "Epoch 400/1000, Cost: 4.6020\n",
+      " and the parameters are [-2.56543985  3.51743572] -4.546511727139345 ;\n",
+      "Epoch 400/1000, Cost: 4.0311\n",
+      " and the parameters are [-2.56540001  3.51749892] -4.546528479342187 ;\n",
+      "Epoch 400/1000, Cost: 2.4597\n",
+      " and the parameters are [-2.56542707  3.51752292] -4.546538804697298 ;\n",
+      "Epoch 400/1000, Cost: 2.0958\n",
+      " and the parameters are [-2.56544931  3.5175601 ] -4.546542001310367 ;\n",
+      "Epoch 400/1000, Cost: 2.7691\n",
+      " and the parameters are [-2.56548647  3.51750664] -4.546591354180107 ;\n",
+      "Epoch 400/1000, Cost: 4.7645\n",
+      " and the parameters are [-2.56555411  3.51740254] -4.546638559721524 ;\n",
+      "Epoch 400/1000, Cost: 3.8743\n",
+      " and the parameters are [-2.56556964  3.51740553] -4.546668054942523 ;\n",
+      "Epoch 400/1000, Cost: 3.5730\n",
+      " and the parameters are [-2.56557335  3.51742186] -4.546669895152612 ;\n",
+      "Epoch 400/1000, Cost: 2.1154\n",
+      " and the parameters are [-2.56556407  3.51749208] -4.5466637162883865 ;\n",
+      "Epoch 400/1000, Cost: 5.4608\n",
+      " and the parameters are [-2.56566117  3.51741124] -4.546718801586511 ;\n",
+      "Epoch 400/1000, Cost: 4.2122\n",
+      " and the parameters are [-2.5657186   3.51741276] -4.546701312125804 ;\n",
+      "Epoch 400/1000, Cost: 3.8998\n",
+      " and the parameters are [-2.56571769  3.51741719] -4.546745590128723 ;\n",
+      "Epoch 400/1000, Cost: 3.9740\n",
+      " and the parameters are [-2.5656548   3.51746392] -4.546769892287192 ;\n",
+      "Epoch 400/1000, Cost: 0.8653\n",
+      " and the parameters are [-2.56567274  3.51748069] -4.54677457337038 ;\n",
+      "Epoch 400/1000, Cost: 3.1190\n",
+      " and the parameters are [-2.56564178  3.51758097] -4.546751279113215 ;\n",
+      "Epoch 400/1000, Cost: 4.1416\n",
+      " and the parameters are [-2.56564041  3.51761577] -4.546759391096877 ;\n",
+      "Epoch 400/1000, Cost: 2.0469\n",
+      " and the parameters are [-2.56564303  3.51767702] -4.546738991563813 ;\n",
+      "Epoch 400/1000, Cost: 2.5387\n",
+      " and the parameters are [-2.56559706  3.51766452] -4.5468187565537 ;\n",
+      "Epoch 400/1000, Cost: 1.7796\n",
+      " and the parameters are [-2.56559242  3.51769595] -4.5468372372217205 ;\n",
+      "Epoch 400/1000, Cost: 2.0135\n",
+      " and the parameters are [-2.56558873  3.51775642] -4.546830530447269 ;\n",
+      "Epoch 400/1000, Cost: 5.1073\n",
+      " and the parameters are [-2.56564772  3.5177785 ] -4.546809083197564 ;\n",
+      "Epoch 400/1000, Cost: 3.7602\n",
+      " and the parameters are [-2.56561932  3.51773406] -4.546897073498773 ;\n",
+      "Epoch 400/1000, Cost: 5.4572\n",
+      " and the parameters are [-2.56574542  3.51777071] -4.546820988184892 ;\n",
+      "Epoch 400/1000, Cost: 1.5919\n",
+      " and the parameters are [-2.56575817  3.51780364] -4.546833566145964 ;\n",
+      "Epoch 400/1000, Cost: 2.2223\n",
+      " and the parameters are [-2.56572453  3.51775818] -4.5469140495419555 ;\n",
+      "Epoch 400/1000, Cost: 3.2326\n",
+      " and the parameters are [-2.5657642   3.51767173] -4.546992418120881 ;\n",
+      "Epoch 400/1000, Cost: 6.1916\n",
+      " and the parameters are [-2.56579465  3.51747644] -4.547127668519288 ;\n",
+      "Epoch 400/1000, Cost: 6.4418\n",
+      " and the parameters are [-2.56595394  3.51724635] -4.547225714980593 ;\n",
+      "Epoch 400/1000, Cost: 3.3502\n",
+      " and the parameters are [-2.56590862  3.5174276 ] -4.54714659867782 ;\n",
+      "Epoch 400/1000, Cost: 4.4742\n",
+      " and the parameters are [-2.56585171  3.51754761] -4.54712139100743 ;\n",
+      "Epoch 400/1000, Cost: 5.0947\n",
+      " and the parameters are [-2.56586899  3.51753385] -4.547161693677454 ;\n",
+      "Epoch 400/1000, Cost: 5.9839\n",
+      " and the parameters are [-2.56593366  3.51743206] -4.547222980278067 ;\n",
+      "Epoch 400/1000, Cost: 4.0037\n",
+      " and the parameters are [-2.56595846  3.5173566 ] -4.547298794113402 ;\n",
+      "Epoch 400/1000, Cost: 6.1974\n",
+      " and the parameters are [-2.56595959  3.5173918 ] -4.547320912397474 ;\n",
+      "Epoch 400/1000, Cost: 1.3848\n",
+      " and the parameters are [-2.56596285  3.5174641 ] -4.547295530946579 ;\n",
+      "Epoch 400/1000, Cost: 3.1693\n",
+      " and the parameters are [-2.56598283  3.51747135] -4.5473180228469285 ;\n",
+      "Epoch 400/1000, Cost: 1.0103\n",
+      " and the parameters are [-2.56597763  3.51750454] -4.547324834642602 ;\n",
+      "Epoch 400/1000, Cost: 6.3707\n",
+      " and the parameters are [-2.56589755  3.51753736] -4.547370740317157 ;\n",
+      "Epoch 400/1000, Cost: 1.3110\n",
+      " and the parameters are [-2.56590394  3.51754318] -4.547396378078802 ;\n",
+      "Epoch 400/1000, Cost: 1.9791\n",
+      " and the parameters are [-2.56593073  3.51748144] -4.547461686368539 ;\n",
+      "Epoch 400/1000, Cost: 2.9572\n",
+      " and the parameters are [-2.56597303  3.51743063] -4.547503240882747 ;\n",
+      "Epoch 400/1000, Cost: 2.3746\n",
+      " and the parameters are [-2.56595426  3.51747553] -4.547519724615638 ;\n",
+      "Epoch 400/1000, Cost: 1.1323\n",
+      " and the parameters are [-2.56595984  3.51752221] -4.547513689652864 ;\n",
+      "Epoch 400/1000, Cost: 3.5935\n",
+      " and the parameters are [-2.56600026  3.51751122] -4.547536986519174 ;\n",
+      "Epoch 400/1000, Cost: 2.2662\n",
+      " and the parameters are [-2.56603079  3.51750305] -4.5475636641289094 ;\n",
+      "Epoch 400/1000, Cost: 3.4624\n",
+      " and the parameters are [-2.56601257  3.51765382] -4.547503592621922 ;\n",
+      "Epoch 400/1000, Cost: 1.9146\n",
+      " and the parameters are [-2.56603379  3.51762318] -4.547551955020426 ;\n",
+      "Epoch 400/1000, Cost: 5.7713\n",
+      " and the parameters are [-2.56603469  3.51749059] -4.547668271677318 ;\n",
+      "Epoch 400/1000, Cost: 2.6503\n",
+      " and the parameters are [-2.56607429  3.51746783] -4.547702252430628 ;\n",
+      "Epoch 400/1000, Cost: 3.6039\n",
+      " and the parameters are [-2.56603868  3.51758928] -4.5476630392446244 ;\n",
+      "Epoch 400/1000, Cost: 2.8218\n",
+      " and the parameters are [-2.56602079  3.51767132] -4.547649895368487 ;\n",
+      "Epoch 400/1000, Cost: 5.8383\n",
+      " and the parameters are [-2.56596769  3.51769527] -4.547673976759089 ;\n",
+      "Epoch 400/1000, Cost: 5.9694\n",
+      " and the parameters are [-2.56596943  3.51767246] -4.547702135928196 ;\n",
+      "Epoch 400/1000, Cost: 3.5217\n",
+      " and the parameters are [-2.56598172  3.51766856] -4.547737328530091 ;\n",
+      "Epoch 400/1000, Cost: 2.4172\n",
+      " and the parameters are [-2.56594103  3.51773832] -4.547734091358321 ;\n",
+      "Epoch 400/1000, Cost: 1.6103\n",
+      " and the parameters are [-2.56592521  3.51774376] -4.547771424706934 ;\n",
+      "Epoch 400/1000, Cost: 4.0501\n",
+      " and the parameters are [-2.56601178  3.51771847] -4.5477761314122835 ;\n",
+      "Epoch 400/1000, Cost: 2.4004\n",
+      " and the parameters are [-2.56604417  3.5176337 ] -4.547847281390813 ;\n",
+      "Epoch 400/1000, Cost: 3.8492\n",
+      " and the parameters are [-2.5660191   3.51759969] -4.547924508608636 ;\n",
+      "Epoch 400/1000, Cost: 6.3927\n",
+      " and the parameters are [-2.56596468  3.51766448] -4.547900050462781 ;\n",
+      "Epoch 400/1000, Cost: 2.9592\n",
+      " and the parameters are [-2.56592982  3.51777702] -4.54786918794777 ;\n",
+      "Epoch 400/1000, Cost: 1.8036\n",
+      " and the parameters are [-2.56590556  3.51784865] -4.547871965214541 ;\n",
+      "Epoch 400/1000, Cost: 3.5820\n",
+      " and the parameters are [-2.56585431  3.51791731] -4.547882529660034 ;\n",
+      "Epoch 400/1000, Cost: 2.7825\n",
+      " and the parameters are [-2.56589206  3.51794935] -4.547880746221806 ;\n",
+      "Epoch 410/1000, Cost: 5.3417\n",
+      " and the parameters are [-2.58324246  3.53948465] -4.578696832349251 ;\n",
+      "Epoch 410/1000, Cost: 3.2964\n",
+      " and the parameters are [-2.5832575   3.53958329] -4.578641103552621 ;\n",
+      "Epoch 410/1000, Cost: 4.1060\n",
+      " and the parameters are [-2.58332103  3.53954836] -4.578660960709465 ;\n",
+      "Epoch 410/1000, Cost: 2.3990\n",
+      " and the parameters are [-2.58337849  3.53952583] -4.5786892597208455 ;\n",
+      "Epoch 410/1000, Cost: 2.1720\n",
+      " and the parameters are [-2.58334767  3.53955634] -4.578713713283875 ;\n",
+      "Epoch 410/1000, Cost: 3.4609\n",
+      " and the parameters are [-2.5833886   3.53958827] -4.578713147189311 ;\n",
+      "Epoch 410/1000, Cost: 4.3065\n",
+      " and the parameters are [-2.58339016  3.5397499 ] -4.5786321359923 ;\n",
+      "Epoch 410/1000, Cost: 1.4937\n",
+      " and the parameters are [-2.58338413  3.53980105] -4.578628039684847 ;\n",
+      "Epoch 410/1000, Cost: 2.3863\n",
+      " and the parameters are [-2.5833848   3.53983318] -4.578640041151363 ;\n",
+      "Epoch 410/1000, Cost: 5.3049\n",
+      " and the parameters are [-2.58341244  3.53976176] -4.578676253158736 ;\n",
+      "Epoch 410/1000, Cost: 1.5943\n",
+      " and the parameters are [-2.58340484  3.53974391] -4.57873234133357 ;\n",
+      "Epoch 410/1000, Cost: 2.5598\n",
+      " and the parameters are [-2.58347585  3.53971024] -4.578748408707548 ;\n",
+      "Epoch 410/1000, Cost: 5.2542\n",
+      " and the parameters are [-2.58337328  3.53985576] -4.578727866086471 ;\n",
+      "Epoch 410/1000, Cost: 2.1100\n",
+      " and the parameters are [-2.58340529  3.53989373] -4.578722500043103 ;\n",
+      "Epoch 410/1000, Cost: 5.5173\n",
+      " and the parameters are [-2.58346279  3.53986989] -4.578714258660462 ;\n",
+      "Epoch 410/1000, Cost: 4.4501\n",
+      " and the parameters are [-2.58343295  3.5398325 ] -4.5787852958423745 ;\n",
+      "Epoch 410/1000, Cost: 4.1600\n",
+      " and the parameters are [-2.58341972  3.53990191] -4.578754825125586 ;\n",
+      "Epoch 410/1000, Cost: 5.1602\n",
+      " and the parameters are [-2.58349988  3.53985639] -4.578789185058812 ;\n",
+      "Epoch 410/1000, Cost: 7.7991\n",
+      " and the parameters are [-2.58348501  3.53972038] -4.578927269533754 ;\n",
+      "Epoch 410/1000, Cost: 3.8592\n",
+      " and the parameters are [-2.58343024  3.53967347] -4.579020336662656 ;\n",
+      "Epoch 410/1000, Cost: 2.3621\n",
+      " and the parameters are [-2.58334268  3.53976644] -4.579037591588515 ;\n",
+      "Epoch 410/1000, Cost: 3.7994\n",
+      " and the parameters are [-2.58336683  3.53974786] -4.5790825923201215 ;\n",
+      "Epoch 410/1000, Cost: 3.9904\n",
+      " and the parameters are [-2.58340235  3.53963979] -4.57914966178583 ;\n",
+      "Epoch 410/1000, Cost: 1.5797\n",
+      " and the parameters are [-2.58338631  3.53966438] -4.579174567783019 ;\n",
+      "Epoch 410/1000, Cost: 2.6761\n",
+      " and the parameters are [-2.5833965   3.53972098] -4.5791668917287005 ;\n",
+      "Epoch 410/1000, Cost: 3.4261\n",
+      " and the parameters are [-2.58340801  3.53978372] -4.5791409244452055 ;\n",
+      "Epoch 410/1000, Cost: 3.9826\n",
+      " and the parameters are [-2.58340065  3.53981644] -4.579146215049328 ;\n",
+      "Epoch 410/1000, Cost: 4.6767\n",
+      " and the parameters are [-2.58340484  3.53983107] -4.579178457532781 ;\n",
+      "Epoch 410/1000, Cost: 2.4978\n",
+      " and the parameters are [-2.58343015  3.5398556 ] -4.579189749974337 ;\n",
+      "Epoch 410/1000, Cost: 3.6303\n",
+      " and the parameters are [-2.58338414  3.53992211] -4.579186642535586 ;\n",
+      "Epoch 410/1000, Cost: 4.7159\n",
+      " and the parameters are [-2.58344735  3.54010751] -4.579046778318669 ;\n",
+      "Epoch 410/1000, Cost: 3.5862\n",
+      " and the parameters are [-2.58348336  3.5401617 ] -4.579004980898748 ;\n",
+      "Epoch 410/1000, Cost: 2.6401\n",
+      " and the parameters are [-2.58347125  3.5400869 ] -4.579087607250293 ;\n",
+      "Epoch 410/1000, Cost: 4.4133\n",
+      " and the parameters are [-2.58347015  3.53997288] -4.57918259722357 ;\n",
+      "Epoch 410/1000, Cost: 2.5714\n",
+      " and the parameters are [-2.5834864  3.5399872] -4.579214453057126 ;\n",
+      "Epoch 410/1000, Cost: 2.6178\n",
+      " and the parameters are [-2.58347789  3.54004117] -4.579217418539106 ;\n",
+      "Epoch 410/1000, Cost: 2.7062\n",
+      " and the parameters are [-2.58356633  3.53993956] -4.57927460416444 ;\n",
+      "Epoch 410/1000, Cost: 2.1974\n",
+      " and the parameters are [-2.58362889  3.53989872] -4.579292630656205 ;\n",
+      "Epoch 410/1000, Cost: 1.6800\n",
+      " and the parameters are [-2.58363028  3.53997787] -4.57927298281437 ;\n",
+      "Epoch 410/1000, Cost: 6.9802\n",
+      " and the parameters are [-2.58359088  3.54002554] -4.5792772407731395 ;\n",
+      "Epoch 410/1000, Cost: 3.8514\n",
+      " and the parameters are [-2.58358737  3.54003019] -4.579313766206839 ;\n",
+      "Epoch 410/1000, Cost: 2.2474\n",
+      " and the parameters are [-2.58358474  3.54007394] -4.579321446250557 ;\n",
+      "Epoch 410/1000, Cost: 2.5494\n",
+      " and the parameters are [-2.58364465  3.54008436] -4.579317374918751 ;\n",
+      "Epoch 410/1000, Cost: 4.6279\n",
+      " and the parameters are [-2.58366517  3.54007882] -4.579341621750273 ;\n",
+      "Epoch 410/1000, Cost: 5.3691\n",
+      " and the parameters are [-2.58371754  3.5400399 ] -4.5793440718497465 ;\n",
+      "Epoch 410/1000, Cost: 2.7896\n",
+      " and the parameters are [-2.58373331  3.54002621] -4.579390433354747 ;\n",
+      "Epoch 410/1000, Cost: 2.4022\n",
+      " and the parameters are [-2.58373088  3.54007006] -4.579407657214545 ;\n",
+      "Epoch 410/1000, Cost: 3.9619\n",
+      " and the parameters are [-2.58374748  3.54008874] -4.579421987532166 ;\n",
+      "Epoch 410/1000, Cost: 1.7795\n",
+      " and the parameters are [-2.58375496  3.5401205 ] -4.579430067372983 ;\n",
+      "Epoch 410/1000, Cost: 2.2625\n",
+      " and the parameters are [-2.58375343  3.54014617] -4.579449150789582 ;\n",
+      "Epoch 410/1000, Cost: 5.2380\n",
+      " and the parameters are [-2.58382617  3.54008315] -4.5794877781297885 ;\n",
+      "Epoch 410/1000, Cost: 3.4965\n",
+      " and the parameters are [-2.58389834  3.53999414] -4.579548411850278 ;\n",
+      "Epoch 410/1000, Cost: 4.4055\n",
+      " and the parameters are [-2.58398915  3.53999838] -4.5795259043099765 ;\n",
+      "Epoch 410/1000, Cost: 3.7940\n",
+      " and the parameters are [-2.58403184  3.54006669] -4.57948968963971 ;\n",
+      "Epoch 410/1000, Cost: 3.7313\n",
+      " and the parameters are [-2.58402941  3.53999079] -4.579571869041823 ;\n",
+      "Epoch 410/1000, Cost: 2.2788\n",
+      " and the parameters are [-2.58404233  3.53997375] -4.579625943542554 ;\n",
+      "Epoch 410/1000, Cost: 2.6575\n",
+      " and the parameters are [-2.58408655  3.53997835] -4.57962929996661 ;\n",
+      "Epoch 410/1000, Cost: 2.5398\n",
+      " and the parameters are [-2.58407825  3.53995019] -4.579679059022351 ;\n",
+      "Epoch 410/1000, Cost: 4.1196\n",
+      " and the parameters are [-2.58406406  3.53993285] -4.579741423551153 ;\n",
+      "Epoch 410/1000, Cost: 5.5954\n",
+      " and the parameters are [-2.58414198  3.53990468] -4.579728789334622 ;\n",
+      "Epoch 410/1000, Cost: 2.7390\n",
+      " and the parameters are [-2.58411122  3.53987154] -4.57979844140214 ;\n",
+      "Epoch 410/1000, Cost: 4.4418\n",
+      " and the parameters are [-2.58410211  3.53977832] -4.579906632612732 ;\n",
+      "Epoch 410/1000, Cost: 0.9494\n",
+      " and the parameters are [-2.5841039   3.53980876] -4.579914210332357 ;\n",
+      "Epoch 410/1000, Cost: 7.1820\n",
+      " and the parameters are [-2.58409843  3.5398031 ] -4.579918298459888 ;\n",
+      "Epoch 410/1000, Cost: 3.7791\n",
+      " and the parameters are [-2.58415392  3.53973012] -4.579985985963575 ;\n",
+      "Epoch 410/1000, Cost: 1.0531\n",
+      " and the parameters are [-2.58415129  3.53977364] -4.579978628125474 ;\n",
+      "Epoch 410/1000, Cost: 7.1873\n",
+      " and the parameters are [-2.58416272  3.53975883] -4.580004459338643 ;\n",
+      "Epoch 410/1000, Cost: 4.1087\n",
+      " and the parameters are [-2.58415904  3.53992074] -4.579916591296587 ;\n",
+      "Epoch 410/1000, Cost: 5.0984\n",
+      " and the parameters are [-2.58423868  3.53984675] -4.579975475510683 ;\n",
+      "Epoch 410/1000, Cost: 6.5005\n",
+      " and the parameters are [-2.58424862  3.53992641] -4.579918794292068 ;\n",
+      "Epoch 410/1000, Cost: 1.8392\n",
+      " and the parameters are [-2.58425905  3.53996032] -4.579926503647089 ;\n",
+      "Epoch 410/1000, Cost: 5.2458\n",
+      " and the parameters are [-2.58419118  3.5399947 ] -4.579945677378989 ;\n",
+      "Epoch 410/1000, Cost: 5.0777\n",
+      " and the parameters are [-2.58423268  3.53992467] -4.579999763300296 ;\n",
+      "Epoch 410/1000, Cost: 2.2475\n",
+      " and the parameters are [-2.58425921  3.53992311] -4.5800273415656365 ;\n",
+      "Epoch 410/1000, Cost: 1.8050\n",
+      " and the parameters are [-2.58428995  3.53993226] -4.580032329314384 ;\n",
+      "Epoch 410/1000, Cost: 3.7948\n",
+      " and the parameters are [-2.58429138  3.53996694] -4.580027874448046 ;\n",
+      "Epoch 410/1000, Cost: 3.9304\n",
+      " and the parameters are [-2.58426751  3.53990322] -4.580107718234553 ;\n",
+      "Epoch 410/1000, Cost: 3.6520\n",
+      " and the parameters are [-2.5842665   3.53987379] -4.5801666966753904 ;\n",
+      "Epoch 410/1000, Cost: 5.0722\n",
+      " and the parameters are [-2.58431891  3.53992401] -4.580140539678716 ;\n",
+      "Epoch 410/1000, Cost: 4.0984\n",
+      " and the parameters are [-2.58435389  3.53993388] -4.580147044608574 ;\n",
+      "Epoch 410/1000, Cost: 3.7059\n",
+      " and the parameters are [-2.58438955  3.53987391] -4.580208848162313 ;\n",
+      "Epoch 410/1000, Cost: 5.4737\n",
+      " and the parameters are [-2.58436169  3.53987478] -4.580228162666312 ;\n",
+      "Epoch 410/1000, Cost: 2.3761\n",
+      " and the parameters are [-2.58436186  3.53985678] -4.580277663297522 ;\n",
+      "Epoch 410/1000, Cost: 3.0834\n",
+      " and the parameters are [-2.58432798  3.53994472] -4.580272711048082 ;\n",
+      "Epoch 410/1000, Cost: 1.9675\n",
+      " and the parameters are [-2.58432837  3.54003239] -4.580242917922123 ;\n",
+      "Epoch 410/1000, Cost: 3.2032\n",
+      " and the parameters are [-2.58435883  3.53998975] -4.580298573029854 ;\n",
+      "Epoch 410/1000, Cost: 9.9875\n",
+      " and the parameters are [-2.58433805  3.53995696] -4.580306264003168 ;\n",
+      "Epoch 410/1000, Cost: 1.3592\n",
+      " and the parameters are [-2.58434365  3.53994438] -4.58034021817043 ;\n",
+      "Epoch 410/1000, Cost: 3.6768\n",
+      " and the parameters are [-2.58440221  3.53988939] -4.580384325945195 ;\n",
+      "Epoch 410/1000, Cost: 4.7043\n",
+      " and the parameters are [-2.58431768  3.53995204] -4.5804162174210745 ;\n",
+      "Epoch 410/1000, Cost: 2.4017\n",
+      " and the parameters are [-2.58429649  3.53995278] -4.58046357946381 ;\n",
+      "Epoch 410/1000, Cost: 2.8547\n",
+      " and the parameters are [-2.58425081  3.53997771] -4.580505869619313 ;\n",
+      "Epoch 410/1000, Cost: 3.8991\n",
+      " and the parameters are [-2.58423225  3.5399773 ] -4.580543053482738 ;\n",
+      "Epoch 410/1000, Cost: 2.4594\n",
+      " and the parameters are [-2.58420788  3.5399758 ] -4.5805920457946065 ;\n",
+      "Epoch 410/1000, Cost: 4.5172\n",
+      " and the parameters are [-2.58430399  3.53984582] -4.580655390726077 ;\n",
+      "Epoch 410/1000, Cost: 2.3135\n",
+      " and the parameters are [-2.58430841  3.53992425] -4.580631248904251 ;\n",
+      "Epoch 410/1000, Cost: 3.4135\n",
+      " and the parameters are [-2.58434591  3.53993533] -4.580630607180918 ;\n",
+      "Epoch 410/1000, Cost: 1.9429\n",
+      " and the parameters are [-2.58438955  3.53990127] -4.580669458886085 ;\n",
+      "Epoch 410/1000, Cost: 4.1984\n",
+      " and the parameters are [-2.58450689  3.53988484] -4.58063653714665 ;\n",
+      "Epoch 410/1000, Cost: 2.1377\n",
+      " and the parameters are [-2.58457563  3.53985818] -4.580657436016771 ;\n",
+      "Epoch 410/1000, Cost: 2.4983\n",
+      " and the parameters are [-2.58459623  3.53984761] -4.580694395438082 ;\n",
+      "Epoch 410/1000, Cost: 2.9468\n",
+      " and the parameters are [-2.58460278  3.53989921] -4.580688867506715 ;\n",
+      "Epoch 410/1000, Cost: 2.1768\n",
+      " and the parameters are [-2.5845715   3.53994806] -4.580715079768697 ;\n",
+      "Epoch 410/1000, Cost: 2.0679\n",
+      " and the parameters are [-2.58459451  3.53998577] -4.580716882347611 ;\n",
+      "Epoch 410/1000, Cost: 1.9734\n",
+      " and the parameters are [-2.58460452  3.53998357] -4.580752510803077 ;\n",
+      "Epoch 410/1000, Cost: 1.8331\n",
+      " and the parameters are [-2.58458414  3.54001437] -4.580780274760916 ;\n",
+      "Epoch 410/1000, Cost: 3.3009\n",
+      " and the parameters are [-2.58471491  3.54002143] -4.5807490193766665 ;\n",
+      "Epoch 410/1000, Cost: 2.2606\n",
+      " and the parameters are [-2.5847292  3.540041 ] -4.580769630971763 ;\n",
+      "Epoch 410/1000, Cost: 4.6125\n",
+      " and the parameters are [-2.58485641  3.53996795] -4.580782061561706 ;\n",
+      "Epoch 410/1000, Cost: 2.2924\n",
+      " and the parameters are [-2.58489506  3.53989326] -4.580841062351644 ;\n",
+      "Epoch 410/1000, Cost: 7.8142\n",
+      " and the parameters are [-2.58488465  3.53978027] -4.580931280104452 ;\n",
+      "Epoch 410/1000, Cost: 1.6451\n",
+      " and the parameters are [-2.58490469  3.5398135 ] -4.580935600633518 ;\n",
+      "Epoch 410/1000, Cost: 3.5624\n",
+      " and the parameters are [-2.58492815  3.53979952] -4.580988223030596 ;\n",
+      "Epoch 410/1000, Cost: 2.3446\n",
+      " and the parameters are [-2.58491797  3.53975756] -4.581059524751942 ;\n",
+      "Epoch 410/1000, Cost: 2.4164\n",
+      " and the parameters are [-2.58493746  3.53976132] -4.58108063177911 ;\n",
+      "Epoch 410/1000, Cost: 2.2485\n",
+      " and the parameters are [-2.58494867  3.53983341] -4.581055846210785 ;\n",
+      "Epoch 410/1000, Cost: 1.4943\n",
+      " and the parameters are [-2.58492254  3.53995415] -4.58101436258829 ;\n",
+      "Epoch 410/1000, Cost: 6.4942\n",
+      " and the parameters are [-2.58484932  3.54006256] -4.580989751264516 ;\n",
+      "Epoch 410/1000, Cost: 3.4023\n",
+      " and the parameters are [-2.58486747  3.5399697 ] -4.581091490518543 ;\n",
+      "Epoch 410/1000, Cost: 4.3810\n",
+      " and the parameters are [-2.58486496  3.54000393] -4.581104202132608 ;\n",
+      "Epoch 410/1000, Cost: 3.2278\n",
+      " and the parameters are [-2.5848728   3.54004575] -4.5811106232079695 ;\n",
+      "Epoch 410/1000, Cost: 3.5244\n",
+      " and the parameters are [-2.5849057   3.53995726] -4.581201858905844 ;\n",
+      "Epoch 410/1000, Cost: 2.0786\n",
+      " and the parameters are [-2.58494388  3.54004504] -4.58115139408878 ;\n",
+      "Epoch 410/1000, Cost: 4.5562\n",
+      " and the parameters are [-2.58502231  3.53985122] -4.581271369744811 ;\n",
+      "Epoch 410/1000, Cost: 2.9605\n",
+      " and the parameters are [-2.58502327  3.5397955 ] -4.581336788578484 ;\n",
+      "Epoch 410/1000, Cost: 3.5709\n",
+      " and the parameters are [-2.58506234  3.53991163] -4.581241003259613 ;\n",
+      "Epoch 410/1000, Cost: 2.9483\n",
+      " and the parameters are [-2.5850549   3.53995074] -4.58125398679216 ;\n",
+      "Epoch 410/1000, Cost: 3.5418\n",
+      " and the parameters are [-2.58507481  3.53989632] -4.5813209289709365 ;\n",
+      "Epoch 410/1000, Cost: 3.9469\n",
+      " and the parameters are [-2.58509937  3.53991662] -4.581318296968885 ;\n",
+      "Epoch 410/1000, Cost: 2.1123\n",
+      " and the parameters are [-2.58514192  3.53995045] -4.58130865071533 ;\n",
+      "Epoch 410/1000, Cost: 2.0814\n",
+      " and the parameters are [-2.58519196  3.53997776] -4.581304792671701 ;\n",
+      "Epoch 410/1000, Cost: 3.7408\n",
+      " and the parameters are [-2.58520127  3.53996251] -4.581340545093089 ;\n",
+      "Epoch 410/1000, Cost: 3.0614\n",
+      " and the parameters are [-2.58514143  3.53998104] -4.581391660651963 ;\n",
+      "Epoch 410/1000, Cost: 1.8883\n",
+      " and the parameters are [-2.58515351  3.5399713 ] -4.581433929035385 ;\n",
+      "Epoch 410/1000, Cost: 3.2248\n",
+      " and the parameters are [-2.58514352  3.54008095] -4.581397904967356 ;\n",
+      "Epoch 410/1000, Cost: 1.5249\n",
+      " and the parameters are [-2.5851553   3.54011289] -4.581402665819907 ;\n",
+      "Epoch 410/1000, Cost: 4.7236\n",
+      " and the parameters are [-2.58508414  3.5402795 ] -4.581316810009484 ;\n",
+      "Epoch 410/1000, Cost: 6.3006\n",
+      " and the parameters are [-2.58508798  3.54034308] -4.581295430699027 ;\n",
+      "Epoch 410/1000, Cost: 4.3448\n",
+      " and the parameters are [-2.5850864   3.54040028] -4.5812778892433235 ;\n",
+      "Epoch 410/1000, Cost: 4.1356\n",
+      " and the parameters are [-2.58501954  3.54039178] -4.581368870825643 ;\n",
+      "Epoch 410/1000, Cost: 2.8810\n",
+      " and the parameters are [-2.58499934  3.54031888] -4.581461831802237 ;\n",
+      "Epoch 410/1000, Cost: 2.1214\n",
+      " and the parameters are [-2.58499357  3.54040798] -4.581440065680382 ;\n",
+      "Epoch 410/1000, Cost: 1.9675\n",
+      " and the parameters are [-2.58499882  3.54037776] -4.581496611992627 ;\n",
+      "Epoch 410/1000, Cost: 3.7665\n",
+      " and the parameters are [-2.58498124  3.54047651] -4.581470925982105 ;\n",
+      "Epoch 410/1000, Cost: 3.3945\n",
+      " and the parameters are [-2.58503738  3.5403324 ] -4.5815765894567475 ;\n",
+      "Epoch 410/1000, Cost: 3.4528\n",
+      " and the parameters are [-2.58506428  3.54039192] -4.581550695737001 ;\n",
+      "Epoch 410/1000, Cost: 2.1702\n",
+      " and the parameters are [-2.58510183  3.54044969] -4.581524423963467 ;\n",
+      "Epoch 410/1000, Cost: 2.2569\n",
+      " and the parameters are [-2.58507652  3.54049963] -4.5815456471839315 ;\n",
+      "Epoch 410/1000, Cost: 1.3100\n",
+      " and the parameters are [-2.58506927  3.54051664] -4.581569491055783 ;\n",
+      "Epoch 410/1000, Cost: 2.1724\n",
+      " and the parameters are [-2.58509554  3.54050041] -4.581608385602141 ;\n",
+      "Epoch 410/1000, Cost: 4.2189\n",
+      " and the parameters are [-2.5850479   3.54055166] -4.581617505687538 ;\n",
+      "Epoch 410/1000, Cost: 6.0367\n",
+      " and the parameters are [-2.58513013  3.54064831] -4.581520400389396 ;\n",
+      "Epoch 410/1000, Cost: 4.1519\n",
+      " and the parameters are [-2.58523637  3.54048416] -4.581615558699187 ;\n",
+      "Epoch 410/1000, Cost: 1.6689\n",
+      " and the parameters are [-2.58524345  3.5404975 ] -4.581643458340103 ;\n",
+      "Epoch 410/1000, Cost: 3.3827\n",
+      " and the parameters are [-2.5852116   3.54050683] -4.5816833928661165 ;\n",
+      "Epoch 410/1000, Cost: 1.5301\n",
+      " and the parameters are [-2.5851965   3.54055875] -4.581691401768947 ;\n",
+      "Epoch 410/1000, Cost: 1.5365\n",
+      " and the parameters are [-2.5851968   3.54062997] -4.581677549637594 ;\n",
+      "Epoch 410/1000, Cost: 3.3072\n",
+      " and the parameters are [-2.58522668  3.54072759] -4.581622544259195 ;\n",
+      "Epoch 410/1000, Cost: 1.6557\n",
+      " and the parameters are [-2.58528976  3.54071099] -4.581636770134386 ;\n",
+      "Epoch 410/1000, Cost: 2.3922\n",
+      " and the parameters are [-2.5852675   3.54083047] -4.5815962862777795 ;\n",
+      "Epoch 410/1000, Cost: 6.0513\n",
+      " and the parameters are [-2.58529237  3.54089074] -4.581550786742749 ;\n",
+      "Epoch 410/1000, Cost: 4.0248\n",
+      " and the parameters are [-2.58523123  3.54097112] -4.581562108682404 ;\n",
+      "Epoch 410/1000, Cost: 1.2016\n",
+      " and the parameters are [-2.58525943  3.54099579] -4.581562870767372 ;\n",
+      "Epoch 410/1000, Cost: 2.2095\n",
+      " and the parameters are [-2.58519872  3.5409983 ] -4.581632027198426 ;\n",
+      "Epoch 410/1000, Cost: 3.1951\n",
+      " and the parameters are [-2.5851909   3.54098419] -4.5816884405598906 ;\n",
+      "Epoch 410/1000, Cost: 2.6152\n",
+      " and the parameters are [-2.58521059  3.5409626 ] -4.581730587439688 ;\n",
+      "Epoch 410/1000, Cost: 6.4036\n",
+      " and the parameters are [-2.58509943  3.54110086] -4.581702859307469 ;\n",
+      "Epoch 410/1000, Cost: 2.5300\n",
+      " and the parameters are [-2.58505678  3.5412307 ] -4.5816752307687825 ;\n",
+      "Epoch 410/1000, Cost: 4.0562\n",
+      " and the parameters are [-2.58493336  3.54121724] -4.58179557303477 ;\n",
+      "Epoch 410/1000, Cost: 3.9106\n",
+      " and the parameters are [-2.58501975  3.54121375] -4.581770465273162 ;\n",
+      "Epoch 410/1000, Cost: 4.2397\n",
+      " and the parameters are [-2.58504683  3.54112987] -4.581847561748207 ;\n",
+      "Epoch 410/1000, Cost: 6.4464\n",
+      " and the parameters are [-2.58503655  3.54114558] -4.581857444520957 ;\n",
+      "Epoch 410/1000, Cost: 1.8271\n",
+      " and the parameters are [-2.58503131  3.54114614] -4.581886040439067 ;\n",
+      "Epoch 410/1000, Cost: 2.4322\n",
+      " and the parameters are [-2.58503026  3.54108904] -4.581959867648807 ;\n",
+      "Epoch 410/1000, Cost: 4.3695\n",
+      " and the parameters are [-2.58502951  3.54099711] -4.582056468025336 ;\n",
+      "Epoch 410/1000, Cost: 3.1165\n",
+      " and the parameters are [-2.58507522  3.54093125] -4.582121326426779 ;\n",
+      "Epoch 410/1000, Cost: 3.1660\n",
+      " and the parameters are [-2.58496824  3.54104929] -4.582122064853813 ;\n",
+      "Epoch 410/1000, Cost: 2.7212\n",
+      " and the parameters are [-2.58502047  3.54109569] -4.582095747809984 ;\n",
+      "Epoch 410/1000, Cost: 2.7582\n",
+      " and the parameters are [-2.58503964  3.54109793] -4.582129241235442 ;\n",
+      "Epoch 410/1000, Cost: 4.5863\n",
+      " and the parameters are [-2.58509052  3.54104962] -4.582162450017263 ;\n",
+      "Epoch 410/1000, Cost: 6.7274\n",
+      " and the parameters are [-2.58521615  3.54110937] -4.582064735640421 ;\n",
+      "Epoch 410/1000, Cost: 3.5888\n",
+      " and the parameters are [-2.58527145  3.54106346] -4.582083033959029 ;\n",
+      "Epoch 410/1000, Cost: 1.8212\n",
+      " and the parameters are [-2.58522744  3.54119183] -4.582038257940198 ;\n",
+      "Epoch 410/1000, Cost: 8.0339\n",
+      " and the parameters are [-2.58527248  3.5409705 ] -4.582180676691817 ;\n",
+      "Epoch 410/1000, Cost: 2.5393\n",
+      " and the parameters are [-2.58531738  3.54095005] -4.5822163949857115 ;\n",
+      "Epoch 410/1000, Cost: 3.0676\n",
+      " and the parameters are [-2.58531252  3.54100664] -4.582222126972344 ;\n",
+      "Epoch 410/1000, Cost: 6.2317\n",
+      " and the parameters are [-2.5852966   3.54106132] -4.582181161448746 ;\n",
+      "Epoch 410/1000, Cost: 2.1100\n",
+      " and the parameters are [-2.58530343  3.54106312] -4.5822156603334 ;\n",
+      "Epoch 410/1000, Cost: 2.6367\n",
+      " and the parameters are [-2.585344    3.54109764] -4.58220084051947 ;\n",
+      "Epoch 410/1000, Cost: 4.1036\n",
+      " and the parameters are [-2.58517852  3.54118405] -4.582249061642006 ;\n",
+      "Epoch 410/1000, Cost: 3.6365\n",
+      " and the parameters are [-2.58521291  3.54126131] -4.582210101642477 ;\n",
+      "Epoch 410/1000, Cost: 1.6281\n",
+      " and the parameters are [-2.58519572  3.54132783] -4.5822089271734665 ;\n",
+      "Epoch 410/1000, Cost: 5.1348\n",
+      " and the parameters are [-2.58517066  3.54138979] -4.582210276754935 ;\n",
+      "Epoch 410/1000, Cost: 2.2275\n",
+      " and the parameters are [-2.58520738  3.54139458] -4.58221251783186 ;\n",
+      "Epoch 410/1000, Cost: 4.9135\n",
+      " and the parameters are [-2.58521684  3.54138743] -4.582243053190861 ;\n",
+      "Epoch 410/1000, Cost: 2.2270\n",
+      " and the parameters are [-2.58524237  3.54138798] -4.58227175928266 ;\n",
+      "Epoch 410/1000, Cost: 4.9721\n",
+      " and the parameters are [-2.58525784  3.54144121] -4.582247479895393 ;\n",
+      "Epoch 410/1000, Cost: 5.2615\n",
+      " and the parameters are [-2.58523533  3.54157326] -4.582166196485738 ;\n",
+      "Epoch 410/1000, Cost: 2.8339\n",
+      " and the parameters are [-2.58519596  3.54171773] -4.582116284667493 ;\n",
+      "Epoch 410/1000, Cost: 4.4745\n",
+      " and the parameters are [-2.58512376  3.54180359] -4.582124034528097 ;\n",
+      "Epoch 420/1000, Cost: 2.9857\n",
+      " and the parameters are [-2.60209839  3.56278846] -4.612329242079477 ;\n",
+      "Epoch 420/1000, Cost: 1.7372\n",
+      " and the parameters are [-2.60207118  3.5628135 ] -4.612367192344998 ;\n",
+      "Epoch 420/1000, Cost: 6.5494\n",
+      " and the parameters are [-2.60212051  3.56262143] -4.612497588421774 ;\n",
+      "Epoch 420/1000, Cost: 3.5226\n",
+      " and the parameters are [-2.60216164  3.56261776] -4.612518690475892 ;\n",
+      "Epoch 420/1000, Cost: 2.5654\n",
+      " and the parameters are [-2.60219613  3.56259054] -4.612555769191025 ;\n",
+      "Epoch 420/1000, Cost: 7.6610\n",
+      " and the parameters are [-2.60222228  3.56260119] -4.612535390803209 ;\n",
+      "Epoch 420/1000, Cost: 3.0330\n",
+      " and the parameters are [-2.60223695  3.56255586] -4.612584554228464 ;\n",
+      "Epoch 420/1000, Cost: 1.5973\n",
+      " and the parameters are [-2.60223004  3.56255986] -4.612614966069272 ;\n",
+      "Epoch 420/1000, Cost: 2.1744\n",
+      " and the parameters are [-2.60226786  3.56254754] -4.612640838872407 ;\n",
+      "Epoch 420/1000, Cost: 2.4604\n",
+      " and the parameters are [-2.60224746  3.56263688] -4.61261958067988 ;\n",
+      "Epoch 420/1000, Cost: 0.8431\n",
+      " and the parameters are [-2.60223041  3.56268557] -4.6126193336264905 ;\n",
+      "Epoch 420/1000, Cost: 3.5990\n",
+      " and the parameters are [-2.60226899  3.56271922] -4.612608384230113 ;\n",
+      "Epoch 420/1000, Cost: 5.4041\n",
+      " and the parameters are [-2.60215992  3.56277609] -4.612626732131163 ;\n",
+      "Epoch 420/1000, Cost: 2.7505\n",
+      " and the parameters are [-2.60220496  3.56281962] -4.612606955944442 ;\n",
+      "Epoch 420/1000, Cost: 5.1893\n",
+      " and the parameters are [-2.60218918  3.56291365] -4.612576880112836 ;\n",
+      "Epoch 420/1000, Cost: 1.7075\n",
+      " and the parameters are [-2.60216242  3.56296002] -4.61258994439578 ;\n",
+      "Epoch 420/1000, Cost: 2.6468\n",
+      " and the parameters are [-2.60215792  3.56301282] -4.6125890386360435 ;\n",
+      "Epoch 420/1000, Cost: 2.3735\n",
+      " and the parameters are [-2.60216419  3.56301178] -4.612622227386857 ;\n",
+      "Epoch 420/1000, Cost: 2.4105\n",
+      " and the parameters are [-2.60216288  3.56301244] -4.612662729037053 ;\n",
+      "Epoch 420/1000, Cost: 0.8925\n",
+      " and the parameters are [-2.60217562  3.56303257] -4.612668999322938 ;\n",
+      "Epoch 420/1000, Cost: 4.4339\n",
+      " and the parameters are [-2.60212813  3.56310914] -4.61267798922005 ;\n",
+      "Epoch 420/1000, Cost: 9.8489\n",
+      " and the parameters are [-2.60224344  3.56297429] -4.6126966870708355 ;\n",
+      "Epoch 420/1000, Cost: 4.3096\n",
+      " and the parameters are [-2.60222864  3.56287885] -4.6127883318906475 ;\n",
+      "Epoch 420/1000, Cost: 4.3212\n",
+      " and the parameters are [-2.60230458  3.56276936] -4.612853801921021 ;\n",
+      "Epoch 420/1000, Cost: 1.4267\n",
+      " and the parameters are [-2.60232016  3.56277379] -4.6128772776164935 ;\n",
+      "Epoch 420/1000, Cost: 2.0849\n",
+      " and the parameters are [-2.60229422  3.56285692] -4.612867821385859 ;\n",
+      "Epoch 420/1000, Cost: 4.0382\n",
+      " and the parameters are [-2.60237065  3.5626853 ] -4.612999518524174 ;\n",
+      "Epoch 420/1000, Cost: 5.1356\n",
+      " and the parameters are [-2.60243125  3.56260734] -4.613046773180645 ;\n",
+      "Epoch 420/1000, Cost: 3.4894\n",
+      " and the parameters are [-2.60244239  3.56260607] -4.613069350991193 ;\n",
+      "Epoch 420/1000, Cost: 5.2746\n",
+      " and the parameters are [-2.60246824  3.56263673] -4.613046081611562 ;\n",
+      "Epoch 420/1000, Cost: 1.4368\n",
+      " and the parameters are [-2.60243437  3.56272736] -4.613030937743336 ;\n",
+      "Epoch 420/1000, Cost: 2.0190\n",
+      " and the parameters are [-2.60245625  3.56269056] -4.613077999576978 ;\n",
+      "Epoch 420/1000, Cost: 4.8364\n",
+      " and the parameters are [-2.60239682  3.56267101] -4.613146088582859 ;\n",
+      "Epoch 420/1000, Cost: 2.0831\n",
+      " and the parameters are [-2.60242981  3.56265507] -4.613170680757985 ;\n",
+      "Epoch 420/1000, Cost: 2.3201\n",
+      " and the parameters are [-2.60243532  3.56271111] -4.613167675927244 ;\n",
+      "Epoch 420/1000, Cost: 2.7822\n",
+      " and the parameters are [-2.60238619  3.56278338] -4.613189670434395 ;\n",
+      "Epoch 420/1000, Cost: 2.0369\n",
+      " and the parameters are [-2.6023983   3.56275337] -4.613244878423379 ;\n",
+      "Epoch 420/1000, Cost: 1.6620\n",
+      " and the parameters are [-2.60241124  3.56276582] -4.613268901453309 ;\n",
+      "Epoch 420/1000, Cost: 5.4402\n",
+      " and the parameters are [-2.60244775  3.56280261] -4.613221356169366 ;\n",
+      "Epoch 420/1000, Cost: 4.2165\n",
+      " and the parameters are [-2.60248365  3.56273664] -4.613284937890626 ;\n",
+      "Epoch 420/1000, Cost: 5.5430\n",
+      " and the parameters are [-2.60254863  3.56277161] -4.613231491963674 ;\n",
+      "Epoch 420/1000, Cost: 2.3136\n",
+      " and the parameters are [-2.60252965  3.56289168] -4.613179101221319 ;\n",
+      "Epoch 420/1000, Cost: 1.6213\n",
+      " and the parameters are [-2.60253044  3.56293829] -4.613177695221491 ;\n",
+      "Epoch 420/1000, Cost: 2.0340\n",
+      " and the parameters are [-2.60250713  3.56298742] -4.613198707932242 ;\n",
+      "Epoch 420/1000, Cost: 2.5854\n",
+      " and the parameters are [-2.6024437   3.56297639] -4.61327325314472 ;\n",
+      "Epoch 420/1000, Cost: 3.9513\n",
+      " and the parameters are [-2.60238941  3.56301303] -4.613300816398499 ;\n",
+      "Epoch 420/1000, Cost: 3.2262\n",
+      " and the parameters are [-2.60241599  3.56299145] -4.6133522130654105 ;\n",
+      "Epoch 420/1000, Cost: 5.8152\n",
+      " and the parameters are [-2.60254179  3.56276809] -4.613463146339575 ;\n",
+      "Epoch 420/1000, Cost: 4.6964\n",
+      " and the parameters are [-2.60254145  3.56271548] -4.613525689802171 ;\n",
+      "Epoch 420/1000, Cost: 3.1227\n",
+      " and the parameters are [-2.60253489  3.56275312] -4.6135304527555645 ;\n",
+      "Epoch 420/1000, Cost: 4.5454\n",
+      " and the parameters are [-2.60247053  3.56276174] -4.613592869394791 ;\n",
+      "Epoch 420/1000, Cost: 4.1671\n",
+      " and the parameters are [-2.60252364  3.56274334] -4.6136097921128325 ;\n",
+      "Epoch 420/1000, Cost: 2.8412\n",
+      " and the parameters are [-2.6025348   3.56279612] -4.613601154311505 ;\n",
+      "Epoch 420/1000, Cost: 2.8532\n",
+      " and the parameters are [-2.60252697  3.56283045] -4.613617033432349 ;\n",
+      "Epoch 420/1000, Cost: 2.9876\n",
+      " and the parameters are [-2.60257689  3.56284075] -4.613624189187423 ;\n",
+      "Epoch 420/1000, Cost: 5.0344\n",
+      " and the parameters are [-2.60268588  3.5626973 ] -4.613687663190623 ;\n",
+      "Epoch 420/1000, Cost: 1.9637\n",
+      " and the parameters are [-2.60268232  3.56274178] -4.613688763595894 ;\n",
+      "Epoch 420/1000, Cost: 1.9920\n",
+      " and the parameters are [-2.60273961  3.56269252] -4.613732424034428 ;\n",
+      "Epoch 420/1000, Cost: 4.7182\n",
+      " and the parameters are [-2.60279341  3.56271744] -4.613725734303523 ;\n",
+      "Epoch 420/1000, Cost: 5.6786\n",
+      " and the parameters are [-2.60274403  3.56268589] -4.613786192365393 ;\n",
+      "Epoch 420/1000, Cost: 3.4762\n",
+      " and the parameters are [-2.6027591   3.56282617] -4.6136896488075525 ;\n",
+      "Epoch 420/1000, Cost: 4.4544\n",
+      " and the parameters are [-2.60277934  3.56277609] -4.61373640585136 ;\n",
+      "Epoch 420/1000, Cost: 4.0835\n",
+      " and the parameters are [-2.60279964  3.56271126] -4.613783497821963 ;\n",
+      "Epoch 420/1000, Cost: 2.5801\n",
+      " and the parameters are [-2.60284106  3.56272178] -4.6137962395832055 ;\n",
+      "Epoch 420/1000, Cost: 2.2733\n",
+      " and the parameters are [-2.60281713  3.56276557] -4.613821377993409 ;\n",
+      "Epoch 420/1000, Cost: 2.6898\n",
+      " and the parameters are [-2.60281277  3.56280042] -4.613835439728011 ;\n",
+      "Epoch 420/1000, Cost: 2.3382\n",
+      " and the parameters are [-2.60283109  3.56290631] -4.613778962693886 ;\n",
+      "Epoch 420/1000, Cost: 2.0635\n",
+      " and the parameters are [-2.60276686  3.56300522] -4.613775611059505 ;\n",
+      "Epoch 420/1000, Cost: 1.9891\n",
+      " and the parameters are [-2.60274037  3.56308523] -4.613761615040352 ;\n",
+      "Epoch 420/1000, Cost: 5.4499\n",
+      " and the parameters are [-2.60278944  3.56306012] -4.61377719367245 ;\n",
+      "Epoch 420/1000, Cost: 4.1466\n",
+      " and the parameters are [-2.60275796  3.56307324] -4.613823453921035 ;\n",
+      "Epoch 420/1000, Cost: 3.1579\n",
+      " and the parameters are [-2.6027914  3.5630879] -4.613836439888337 ;\n",
+      "Epoch 420/1000, Cost: 3.6469\n",
+      " and the parameters are [-2.60275582  3.56306863] -4.613904667522774 ;\n",
+      "Epoch 420/1000, Cost: 3.5961\n",
+      " and the parameters are [-2.60273834  3.56318284] -4.613859069909057 ;\n",
+      "Epoch 420/1000, Cost: 2.5051\n",
+      " and the parameters are [-2.60272441  3.56327858] -4.613825241476474 ;\n",
+      "Epoch 420/1000, Cost: 2.9977\n",
+      " and the parameters are [-2.60278042  3.56320736] -4.61388175378253 ;\n",
+      "Epoch 420/1000, Cost: 2.0908\n",
+      " and the parameters are [-2.60275359  3.56331783] -4.613843726536735 ;\n",
+      "Epoch 420/1000, Cost: 4.0330\n",
+      " and the parameters are [-2.60269659  3.56333107] -4.613890158066599 ;\n",
+      "Epoch 420/1000, Cost: 2.0318\n",
+      " and the parameters are [-2.60270491  3.56339709] -4.61386238536549 ;\n",
+      "Epoch 420/1000, Cost: 2.8823\n",
+      " and the parameters are [-2.60269473  3.5634682 ] -4.61386360373282 ;\n",
+      "Epoch 420/1000, Cost: 1.7641\n",
+      " and the parameters are [-2.60269908  3.56350054] -4.613867946332247 ;\n",
+      "Epoch 420/1000, Cost: 5.8369\n",
+      " and the parameters are [-2.60278686  3.56355429] -4.613807162181213 ;\n",
+      "Epoch 420/1000, Cost: 3.8635\n",
+      " and the parameters are [-2.60280567  3.56366512] -4.613749563985837 ;\n",
+      "Epoch 420/1000, Cost: 5.4061\n",
+      " and the parameters are [-2.60281287  3.56369012] -4.613757569640503 ;\n",
+      "Epoch 420/1000, Cost: 2.2930\n",
+      " and the parameters are [-2.60280651  3.56367263] -4.613800109258073 ;\n",
+      "Epoch 420/1000, Cost: 3.5358\n",
+      " and the parameters are [-2.60279283  3.56373635] -4.613799956569103 ;\n",
+      "Epoch 420/1000, Cost: 2.4637\n",
+      " and the parameters are [-2.60281044  3.56374056] -4.613830359371006 ;\n",
+      "Epoch 420/1000, Cost: 2.5888\n",
+      " and the parameters are [-2.6027684   3.56386359] -4.613799921884892 ;\n",
+      "Epoch 420/1000, Cost: 3.5350\n",
+      " and the parameters are [-2.60292766  3.56381899] -4.61376096787521 ;\n",
+      "Epoch 420/1000, Cost: 3.5113\n",
+      " and the parameters are [-2.6029154   3.56387117] -4.613784350100048 ;\n",
+      "Epoch 420/1000, Cost: 1.2739\n",
+      " and the parameters are [-2.60288879  3.56388908] -4.613813477899662 ;\n",
+      "Epoch 420/1000, Cost: 1.3792\n",
+      " and the parameters are [-2.6028644   3.56398784] -4.613782273167959 ;\n",
+      "Epoch 420/1000, Cost: 2.9215\n",
+      " and the parameters are [-2.60282244  3.56410424] -4.613759053024849 ;\n",
+      "Epoch 420/1000, Cost: 4.3427\n",
+      " and the parameters are [-2.60294127  3.56409551] -4.6137142257476444 ;\n",
+      "Epoch 420/1000, Cost: 2.5515\n",
+      " and the parameters are [-2.60301616  3.56409183] -4.613715045112426 ;\n",
+      "Epoch 420/1000, Cost: 1.9566\n",
+      " and the parameters are [-2.60300638  3.56413075] -4.613731163349313 ;\n",
+      "Epoch 420/1000, Cost: 1.2125\n",
+      " and the parameters are [-2.6029927   3.56416133] -4.613748761639027 ;\n",
+      "Epoch 420/1000, Cost: 3.8692\n",
+      " and the parameters are [-2.60297522  3.56419532] -4.6137444615701435 ;\n",
+      "Epoch 420/1000, Cost: 5.4205\n",
+      " and the parameters are [-2.60291345  3.56404215] -4.613908634845195 ;\n",
+      "Epoch 420/1000, Cost: 3.8872\n",
+      " and the parameters are [-2.60288807  3.56411435] -4.613904321173632 ;\n",
+      "Epoch 420/1000, Cost: 2.5087\n",
+      " and the parameters are [-2.6029197   3.56411161] -4.613916081974406 ;\n",
+      "Epoch 420/1000, Cost: 4.4028\n",
+      " and the parameters are [-2.60296937  3.56401445] -4.6139909354484585 ;\n",
+      "Epoch 420/1000, Cost: 2.2033\n",
+      " and the parameters are [-2.60293605  3.56411881] -4.613963874820304 ;\n",
+      "Epoch 420/1000, Cost: 2.7114\n",
+      " and the parameters are [-2.60299809  3.56406179] -4.614006082810226 ;\n",
+      "Epoch 420/1000, Cost: 4.2978\n",
+      " and the parameters are [-2.60305814  3.56405346] -4.614012256688949 ;\n",
+      "Epoch 420/1000, Cost: 6.1195\n",
+      " and the parameters are [-2.60307898  3.56398111] -4.6140627693589105 ;\n",
+      "Epoch 420/1000, Cost: 4.6278\n",
+      " and the parameters are [-2.60309306  3.56396164] -4.614084734725715 ;\n",
+      "Epoch 420/1000, Cost: 3.2904\n",
+      " and the parameters are [-2.60312521  3.56392701] -4.614117744354069 ;\n",
+      "Epoch 420/1000, Cost: 4.5840\n",
+      " and the parameters are [-2.60312339  3.56393819] -4.614132324088133 ;\n",
+      "Epoch 420/1000, Cost: 2.5766\n",
+      " and the parameters are [-2.60318356  3.56401266] -4.614081022615231 ;\n",
+      "Epoch 420/1000, Cost: 1.5376\n",
+      " and the parameters are [-2.60317104  3.56408168] -4.614071135707212 ;\n",
+      "Epoch 420/1000, Cost: 3.5790\n",
+      " and the parameters are [-2.60320377  3.56410713] -4.614069928706166 ;\n",
+      "Epoch 420/1000, Cost: 3.3280\n",
+      " and the parameters are [-2.60317467  3.56419192] -4.6140481458066995 ;\n",
+      "Epoch 420/1000, Cost: 4.5386\n",
+      " and the parameters are [-2.60325766  3.56419053] -4.614027512590706 ;\n",
+      "Epoch 420/1000, Cost: 1.7539\n",
+      " and the parameters are [-2.60325526  3.56427835] -4.61400281152135 ;\n",
+      "Epoch 420/1000, Cost: 3.9794\n",
+      " and the parameters are [-2.6032694   3.56421766] -4.614071347350134 ;\n",
+      "Epoch 420/1000, Cost: 4.6915\n",
+      " and the parameters are [-2.60331986  3.56417758] -4.614111856466721 ;\n",
+      "Epoch 420/1000, Cost: 3.5996\n",
+      " and the parameters are [-2.60326873  3.56429218] -4.614091764438683 ;\n",
+      "Epoch 420/1000, Cost: 5.9211\n",
+      " and the parameters are [-2.6033117   3.56419945] -4.614151048107592 ;\n",
+      "Epoch 420/1000, Cost: 2.1650\n",
+      " and the parameters are [-2.60331916  3.56430586] -4.614106252800208 ;\n",
+      "Epoch 420/1000, Cost: 2.3472\n",
+      " and the parameters are [-2.60327986  3.56439061] -4.614106243026414 ;\n",
+      "Epoch 420/1000, Cost: 1.5736\n",
+      " and the parameters are [-2.60327985  3.56438652] -4.614135291063535 ;\n",
+      "Epoch 420/1000, Cost: 3.6382\n",
+      " and the parameters are [-2.60321731  3.56442954] -4.61415991553528 ;\n",
+      "Epoch 420/1000, Cost: 3.8780\n",
+      " and the parameters are [-2.60316368  3.56449581] -4.6141325941410685 ;\n",
+      "Epoch 420/1000, Cost: 8.1809\n",
+      " and the parameters are [-2.60316398  3.56450741] -4.614123992929738 ;\n",
+      "Epoch 420/1000, Cost: 2.9565\n",
+      " and the parameters are [-2.60317782  3.5644254 ] -4.61420901479462 ;\n",
+      "Epoch 420/1000, Cost: 5.9533\n",
+      " and the parameters are [-2.60319573  3.56442262] -4.614203974099485 ;\n",
+      "Epoch 420/1000, Cost: 3.8257\n",
+      " and the parameters are [-2.60321126  3.56434382] -4.614275425171131 ;\n",
+      "Epoch 420/1000, Cost: 5.6496\n",
+      " and the parameters are [-2.60323082  3.56431596] -4.61428587203569 ;\n",
+      "Epoch 420/1000, Cost: 3.4733\n",
+      " and the parameters are [-2.60322915  3.56443397] -4.614230886375746 ;\n",
+      "Epoch 420/1000, Cost: 5.0064\n",
+      " and the parameters are [-2.60319975  3.56443128] -4.614294795742654 ;\n",
+      "Epoch 420/1000, Cost: 2.7794\n",
+      " and the parameters are [-2.60320223  3.56448598] -4.614297081250003 ;\n",
+      "Epoch 420/1000, Cost: 1.0428\n",
+      " and the parameters are [-2.60320802  3.56453189] -4.61429176168116 ;\n",
+      "Epoch 420/1000, Cost: 2.7113\n",
+      " and the parameters are [-2.60324573  3.56448263] -4.614336528060879 ;\n",
+      "Epoch 420/1000, Cost: 3.5197\n",
+      " and the parameters are [-2.60329595  3.56458314] -4.614273341630778 ;\n",
+      "Epoch 420/1000, Cost: 3.3414\n",
+      " and the parameters are [-2.60330841  3.56457915] -4.614307682360655 ;\n",
+      "Epoch 420/1000, Cost: 3.0665\n",
+      " and the parameters are [-2.60334008  3.56460805] -4.614302511761715 ;\n",
+      "Epoch 420/1000, Cost: 5.3336\n",
+      " and the parameters are [-2.6034922   3.56447788] -4.614325676930542 ;\n",
+      "Epoch 420/1000, Cost: 4.1645\n",
+      " and the parameters are [-2.60347482  3.56445696] -4.614391107504644 ;\n",
+      "Epoch 420/1000, Cost: 4.1763\n",
+      " and the parameters are [-2.6035304   3.56441941] -4.61443714478555 ;\n",
+      "Epoch 420/1000, Cost: 1.7488\n",
+      " and the parameters are [-2.60356948  3.56442284] -4.614449208838346 ;\n",
+      "Epoch 420/1000, Cost: 1.2946\n",
+      " and the parameters are [-2.60356509  3.56445678] -4.614461498611993 ;\n",
+      "Epoch 420/1000, Cost: 1.4836\n",
+      " and the parameters are [-2.60354748  3.56452857] -4.614455013875499 ;\n",
+      "Epoch 420/1000, Cost: 3.3200\n",
+      " and the parameters are [-2.60362651  3.56447923] -4.614494069588282 ;\n",
+      "Epoch 420/1000, Cost: 6.1697\n",
+      " and the parameters are [-2.60364562  3.56457238] -4.61444111040701 ;\n",
+      "Epoch 420/1000, Cost: 3.4960\n",
+      " and the parameters are [-2.60368275  3.56453645] -4.614475347114121 ;\n",
+      "Epoch 420/1000, Cost: 3.6560\n",
+      " and the parameters are [-2.60364013  3.56462224] -4.614463176263584 ;\n",
+      "Epoch 420/1000, Cost: 4.9370\n",
+      " and the parameters are [-2.6036469   3.56462355] -4.614486074379269 ;\n",
+      "Epoch 420/1000, Cost: 1.6911\n",
+      " and the parameters are [-2.60362723  3.56463132] -4.614524720065303 ;\n",
+      "Epoch 420/1000, Cost: 5.0311\n",
+      " and the parameters are [-2.60368494  3.56452637] -4.614592442933545 ;\n",
+      "Epoch 420/1000, Cost: 5.9181\n",
+      " and the parameters are [-2.60363805  3.56454776] -4.614616933116585 ;\n",
+      "Epoch 420/1000, Cost: 3.4124\n",
+      " and the parameters are [-2.60360286  3.56451439] -4.614710867587077 ;\n",
+      "Epoch 420/1000, Cost: 2.0559\n",
+      " and the parameters are [-2.60363185  3.56447813] -4.6147502614789575 ;\n",
+      "Epoch 420/1000, Cost: 4.4644\n",
+      " and the parameters are [-2.60365015  3.56452998] -4.6147456396211295 ;\n",
+      "Epoch 420/1000, Cost: 5.2034\n",
+      " and the parameters are [-2.60356005  3.56447653] -4.614839796040103 ;\n",
+      "Epoch 420/1000, Cost: 2.5019\n",
+      " and the parameters are [-2.60359239  3.56443792] -4.614895891702019 ;\n",
+      "Epoch 420/1000, Cost: 2.6926\n",
+      " and the parameters are [-2.6035753   3.56447381] -4.614914955097112 ;\n",
+      "Epoch 420/1000, Cost: 3.5735\n",
+      " and the parameters are [-2.6035616   3.56445577] -4.614967427343066 ;\n",
+      "Epoch 420/1000, Cost: 5.1201\n",
+      " and the parameters are [-2.6035671   3.56438335] -4.615042358290798 ;\n",
+      "Epoch 420/1000, Cost: 2.0306\n",
+      " and the parameters are [-2.60353895  3.56446399] -4.615027812521186 ;\n",
+      "Epoch 420/1000, Cost: 3.8128\n",
+      " and the parameters are [-2.60363417  3.56447846] -4.615011567324631 ;\n",
+      "Epoch 420/1000, Cost: 1.5839\n",
+      " and the parameters are [-2.60363154  3.56450326] -4.615028431228781 ;\n",
+      "Epoch 420/1000, Cost: 2.4133\n",
+      " and the parameters are [-2.60366144  3.56445618] -4.615080804614274 ;\n",
+      "Epoch 420/1000, Cost: 5.1179\n",
+      " and the parameters are [-2.6037635   3.56436543] -4.615116328221834 ;\n",
+      "Epoch 420/1000, Cost: 4.6298\n",
+      " and the parameters are [-2.60376477  3.56431793] -4.615197642711496 ;\n",
+      "Epoch 420/1000, Cost: 3.9026\n",
+      " and the parameters are [-2.60373483  3.56445499] -4.615144763943206 ;\n",
+      "Epoch 420/1000, Cost: 6.9848\n",
+      " and the parameters are [-2.60363797  3.56450183] -4.615181038130536 ;\n",
+      "Epoch 420/1000, Cost: 4.2242\n",
+      " and the parameters are [-2.60368966  3.56451515] -4.615169572472022 ;\n",
+      "Epoch 420/1000, Cost: 2.7788\n",
+      " and the parameters are [-2.60362193  3.56473564] -4.615076935709585 ;\n",
+      "Epoch 420/1000, Cost: 3.9315\n",
+      " and the parameters are [-2.60370528  3.5647052 ] -4.615081878242986 ;\n",
+      "Epoch 420/1000, Cost: 2.9003\n",
+      " and the parameters are [-2.60379983  3.56465218] -4.615100899575266 ;\n",
+      "Epoch 420/1000, Cost: 3.0453\n",
+      " and the parameters are [-2.6037978   3.56462814] -4.615162279084631 ;\n",
+      "Epoch 420/1000, Cost: 2.9369\n",
+      " and the parameters are [-2.60385366  3.56456353] -4.615212694269303 ;\n",
+      "Epoch 420/1000, Cost: 1.8383\n",
+      " and the parameters are [-2.60382596  3.56457009] -4.61526057746596 ;\n",
+      "Epoch 420/1000, Cost: 2.5797\n",
+      " and the parameters are [-2.6038319   3.56454636] -4.615305253221697 ;\n",
+      "Epoch 420/1000, Cost: 2.0404\n",
+      " and the parameters are [-2.60382788  3.56459803] -4.615305738820118 ;\n",
+      "Epoch 420/1000, Cost: 2.8277\n",
+      " and the parameters are [-2.60384557  3.56467742] -4.615281239056813 ;\n",
+      "Epoch 420/1000, Cost: 4.1339\n",
+      " and the parameters are [-2.60385275  3.56469614] -4.6153109021523955 ;\n",
+      "Epoch 420/1000, Cost: 1.7467\n",
+      " and the parameters are [-2.60388032  3.56472594] -4.615309443517126 ;\n",
+      "Epoch 420/1000, Cost: 4.9951\n",
+      " and the parameters are [-2.60390328  3.5647447 ] -4.6153093464705695 ;\n",
+      "Epoch 420/1000, Cost: 4.0137\n",
+      " and the parameters are [-2.60381218  3.56482604] -4.615334924203895 ;\n",
+      "Epoch 420/1000, Cost: 4.8515\n",
+      " and the parameters are [-2.60374943  3.56493966] -4.615310057821083 ;\n",
+      "Epoch 420/1000, Cost: 2.7771\n",
+      " and the parameters are [-2.60372674  3.56501838] -4.615299745877342 ;\n",
+      "Epoch 420/1000, Cost: 2.6300\n",
+      " and the parameters are [-2.60369626  3.56511909] -4.615271958823398 ;\n",
+      "Epoch 420/1000, Cost: 3.1355\n",
+      " and the parameters are [-2.60369255  3.56518848] -4.6152437387427465 ;\n",
+      "Epoch 420/1000, Cost: 4.0573\n",
+      " and the parameters are [-2.60377952  3.56518984] -4.615232132210072 ;\n",
+      "Epoch 420/1000, Cost: 1.1594\n",
+      " and the parameters are [-2.6037808   3.56519153] -4.6152538351635135 ;\n",
+      "Epoch 420/1000, Cost: 2.7280\n",
+      " and the parameters are [-2.60380495  3.56520698] -4.615276099835014 ;\n",
+      "Epoch 420/1000, Cost: 1.7148\n",
+      " and the parameters are [-2.60378322  3.56525142] -4.615289011572987 ;\n",
+      "Epoch 420/1000, Cost: 4.2656\n",
+      " and the parameters are [-2.60377864  3.56509996] -4.615422454417752 ;\n",
+      "Epoch 420/1000, Cost: 4.4917\n",
+      " and the parameters are [-2.6038388   3.56505703] -4.615471377698144 ;\n",
+      "Epoch 420/1000, Cost: 3.8866\n",
+      " and the parameters are [-2.60388928  3.56506053] -4.615476711073522 ;\n",
+      "Epoch 420/1000, Cost: 2.7192\n",
+      " and the parameters are [-2.60390822  3.56503723] -4.615524231438002 ;\n",
+      "Epoch 420/1000, Cost: 3.1318\n",
+      " and the parameters are [-2.60387865  3.56502743] -4.615578411594397 ;\n",
+      "Epoch 420/1000, Cost: 6.2820\n",
+      " and the parameters are [-2.60389089  3.56503236] -4.615570188286103 ;\n",
+      "Epoch 420/1000, Cost: 6.7728\n",
+      " and the parameters are [-2.60396061  3.56478782] -4.6157280670682255 ;\n",
+      "Epoch 420/1000, Cost: 7.9620\n",
+      " and the parameters are [-2.60393802  3.56491134] -4.615647941344175 ;\n",
+      "Epoch 420/1000, Cost: 2.0239\n",
+      " and the parameters are [-2.60392411  3.56497719] -4.615642337264077 ;\n",
+      "Epoch 420/1000, Cost: 2.3088\n",
+      " and the parameters are [-2.60392775  3.5650712 ] -4.615604627171241 ;\n",
+      "Epoch 420/1000, Cost: 1.9949\n",
+      " and the parameters are [-2.60396187  3.56504656] -4.615646098637826 ;\n",
+      "Epoch 430/1000, Cost: 5.4524\n",
+      " and the parameters are [-2.62048211  3.5856593 ] -4.645184338160442 ;\n",
+      "Epoch 430/1000, Cost: 3.2970\n",
+      " and the parameters are [-2.6204213   3.58570678] -4.645230793609274 ;\n",
+      "Epoch 430/1000, Cost: 1.2863\n",
+      " and the parameters are [-2.6204003   3.58572217] -4.645265229639314 ;\n",
+      "Epoch 430/1000, Cost: 1.4137\n",
+      " and the parameters are [-2.62039635  3.58576938] -4.645269232701917 ;\n",
+      "Epoch 430/1000, Cost: 2.9498\n",
+      " and the parameters are [-2.620424    3.58570011] -4.645341403520495 ;\n",
+      "Epoch 430/1000, Cost: 7.1546\n",
+      " and the parameters are [-2.62049143  3.58557832] -4.645407462971705 ;\n",
+      "Epoch 430/1000, Cost: 5.1385\n",
+      " and the parameters are [-2.62057544  3.58549932] -4.645442295649835 ;\n",
+      "Epoch 430/1000, Cost: 1.6486\n",
+      " and the parameters are [-2.62057616  3.5855616 ] -4.645426991398519 ;\n",
+      "Epoch 430/1000, Cost: 1.6306\n",
+      " and the parameters are [-2.62058846  3.58561765] -4.645409244744531 ;\n",
+      "Epoch 430/1000, Cost: 2.0597\n",
+      " and the parameters are [-2.62054991  3.58562501] -4.645463278345019 ;\n",
+      "Epoch 430/1000, Cost: 1.2178\n",
+      " and the parameters are [-2.620563    3.58566559] -4.645459749403095 ;\n",
+      "Epoch 430/1000, Cost: 4.1432\n",
+      " and the parameters are [-2.62058182  3.58578524] -4.645403999122191 ;\n",
+      "Epoch 430/1000, Cost: 1.7340\n",
+      " and the parameters are [-2.62061889  3.5858103 ] -4.645392606931673 ;\n",
+      "Epoch 430/1000, Cost: 4.3254\n",
+      " and the parameters are [-2.62059705  3.58567967] -4.645528476150282 ;\n",
+      "Epoch 430/1000, Cost: 3.6378\n",
+      " and the parameters are [-2.62060697  3.58565858] -4.645568002967286 ;\n",
+      "Epoch 430/1000, Cost: 5.0654\n",
+      " and the parameters are [-2.62063526  3.58572796] -4.645501771668544 ;\n",
+      "Epoch 430/1000, Cost: 1.8967\n",
+      " and the parameters are [-2.62061122  3.58582451] -4.645482293545993 ;\n",
+      "Epoch 430/1000, Cost: 3.1559\n",
+      " and the parameters are [-2.62060671  3.58586524] -4.645495328347983 ;\n",
+      "Epoch 430/1000, Cost: 4.1669\n",
+      " and the parameters are [-2.62065244  3.58595716] -4.645425579896451 ;\n",
+      "Epoch 430/1000, Cost: 1.8689\n",
+      " and the parameters are [-2.62066591  3.58598319] -4.645442846743105 ;\n",
+      "Epoch 430/1000, Cost: 1.6268\n",
+      " and the parameters are [-2.62068027  3.58603437] -4.645435001604981 ;\n",
+      "Epoch 430/1000, Cost: 8.8632\n",
+      " and the parameters are [-2.62053363  3.58611562] -4.64544582038168 ;\n",
+      "Epoch 430/1000, Cost: 2.1761\n",
+      " and the parameters are [-2.62052623  3.58612185] -4.645490527999791 ;\n",
+      "Epoch 430/1000, Cost: 2.1955\n",
+      " and the parameters are [-2.62057333  3.58609463] -4.645520317101829 ;\n",
+      "Epoch 430/1000, Cost: 3.2597\n",
+      " and the parameters are [-2.62054896  3.58622832] -4.645456787242654 ;\n",
+      "Epoch 430/1000, Cost: 1.9494\n",
+      " and the parameters are [-2.62053359  3.58627115] -4.645464420861794 ;\n",
+      "Epoch 430/1000, Cost: 5.5184\n",
+      " and the parameters are [-2.62061969  3.5863105 ] -4.645408886781186 ;\n",
+      "Epoch 430/1000, Cost: 2.8950\n",
+      " and the parameters are [-2.62058474  3.58633933] -4.645433036699563 ;\n",
+      "Epoch 430/1000, Cost: 3.0339\n",
+      " and the parameters are [-2.62065703  3.58630126] -4.6454593632564825 ;\n",
+      "Epoch 430/1000, Cost: 3.7949\n",
+      " and the parameters are [-2.62071461  3.58631272] -4.645445195533009 ;\n",
+      "Epoch 430/1000, Cost: 2.8316\n",
+      " and the parameters are [-2.62067478  3.58636552] -4.645451889922711 ;\n",
+      "Epoch 430/1000, Cost: 3.2494\n",
+      " and the parameters are [-2.62068536  3.58633655] -4.645509560758064 ;\n",
+      "Epoch 430/1000, Cost: 2.1028\n",
+      " and the parameters are [-2.62069319  3.58636876] -4.645523522256253 ;\n",
+      "Epoch 430/1000, Cost: 2.6670\n",
+      " and the parameters are [-2.62074863  3.58645077] -4.645469627537749 ;\n",
+      "Epoch 430/1000, Cost: 6.1436\n",
+      " and the parameters are [-2.62078994  3.58648327] -4.645417019461181 ;\n",
+      "Epoch 430/1000, Cost: 1.9032\n",
+      " and the parameters are [-2.62075971  3.58651553] -4.645452419444237 ;\n",
+      "Epoch 430/1000, Cost: 5.7850\n",
+      " and the parameters are [-2.62075828  3.58653676] -4.645435016739327 ;\n",
+      "Epoch 430/1000, Cost: 3.3903\n",
+      " and the parameters are [-2.62087166  3.58658221] -4.645372668255686 ;\n",
+      "Epoch 430/1000, Cost: 4.5181\n",
+      " and the parameters are [-2.62083244  3.58658691] -4.645427833722491 ;\n",
+      "Epoch 430/1000, Cost: 1.1195\n",
+      " and the parameters are [-2.62083535  3.58659287] -4.645450048934403 ;\n",
+      "Epoch 430/1000, Cost: 8.5658\n",
+      " and the parameters are [-2.62087982  3.58659895] -4.645443701232958 ;\n",
+      "Epoch 430/1000, Cost: 4.0535\n",
+      " and the parameters are [-2.6208372   3.58652009] -4.645530102021559 ;\n",
+      "Epoch 430/1000, Cost: 1.7398\n",
+      " and the parameters are [-2.62084612  3.58657925] -4.645514559217433 ;\n",
+      "Epoch 430/1000, Cost: 3.2597\n",
+      " and the parameters are [-2.62090262  3.5866888 ] -4.6454412083496015 ;\n",
+      "Epoch 430/1000, Cost: 5.0713\n",
+      " and the parameters are [-2.62087091  3.58671029] -4.645441513997711 ;\n",
+      "Epoch 430/1000, Cost: 3.7256\n",
+      " and the parameters are [-2.6208859   3.58661369] -4.645537466981972 ;\n",
+      "Epoch 430/1000, Cost: 3.7252\n",
+      " and the parameters are [-2.62088226  3.58660382] -4.645570962577754 ;\n",
+      "Epoch 430/1000, Cost: 1.7727\n",
+      " and the parameters are [-2.62086739  3.58662474] -4.645600151658709 ;\n",
+      "Epoch 430/1000, Cost: 4.5077\n",
+      " and the parameters are [-2.62092173  3.58653654] -4.645669294725123 ;\n",
+      "Epoch 430/1000, Cost: 2.4972\n",
+      " and the parameters are [-2.62090575  3.58651421] -4.64571139103993 ;\n",
+      "Epoch 430/1000, Cost: 4.2806\n",
+      " and the parameters are [-2.62088809  3.58646879] -4.645788319172232 ;\n",
+      "Epoch 430/1000, Cost: 7.1815\n",
+      " and the parameters are [-2.62111043  3.58637029] -4.645739156754388 ;\n",
+      "Epoch 430/1000, Cost: 2.0541\n",
+      " and the parameters are [-2.62115248  3.5862861 ] -4.645808059879412 ;\n",
+      "Epoch 430/1000, Cost: 4.7444\n",
+      " and the parameters are [-2.62125673  3.58620083] -4.645857360786522 ;\n",
+      "Epoch 430/1000, Cost: 2.0454\n",
+      " and the parameters are [-2.62125811  3.58627258] -4.645845622254352 ;\n",
+      "Epoch 430/1000, Cost: 2.3721\n",
+      " and the parameters are [-2.62124494  3.58632473] -4.645852115415447 ;\n",
+      "Epoch 430/1000, Cost: 2.7452\n",
+      " and the parameters are [-2.6211606   3.58634886] -4.645919002717287 ;\n",
+      "Epoch 430/1000, Cost: 2.8114\n",
+      " and the parameters are [-2.62112328  3.58631308] -4.64599514673134 ;\n",
+      "Epoch 430/1000, Cost: 4.6215\n",
+      " and the parameters are [-2.62102698  3.58636471] -4.646016713380235 ;\n",
+      "Epoch 430/1000, Cost: 4.1048\n",
+      " and the parameters are [-2.62103091  3.58631966] -4.646074192571589 ;\n",
+      "Epoch 430/1000, Cost: 5.5762\n",
+      " and the parameters are [-2.6211047   3.58614424] -4.6461784593437665 ;\n",
+      "Epoch 430/1000, Cost: 2.6941\n",
+      " and the parameters are [-2.62113331  3.5861932 ] -4.646158499697531 ;\n",
+      "Epoch 430/1000, Cost: 1.7594\n",
+      " and the parameters are [-2.62114546  3.58624163] -4.64615412801617 ;\n",
+      "Epoch 430/1000, Cost: 10.0146\n",
+      " and the parameters are [-2.62109984  3.58619645] -4.646167400159506 ;\n",
+      "Epoch 430/1000, Cost: 3.1351\n",
+      " and the parameters are [-2.62111322  3.58624735] -4.646152325415337 ;\n",
+      "Epoch 430/1000, Cost: 2.4908\n",
+      " and the parameters are [-2.62113667  3.58634868] -4.646098887269617 ;\n",
+      "Epoch 430/1000, Cost: 4.2328\n",
+      " and the parameters are [-2.62116919  3.58625298] -4.6461605326236315 ;\n",
+      "Epoch 430/1000, Cost: 2.1321\n",
+      " and the parameters are [-2.6211935   3.58622929] -4.646201239356092 ;\n",
+      "Epoch 430/1000, Cost: 3.7902\n",
+      " and the parameters are [-2.6211803   3.58625543] -4.646214684351815 ;\n",
+      "Epoch 430/1000, Cost: 3.1398\n",
+      " and the parameters are [-2.62123261  3.58631891] -4.646167518031698 ;\n",
+      "Epoch 430/1000, Cost: 2.2661\n",
+      " and the parameters are [-2.62125292  3.58630064] -4.646194352573575 ;\n",
+      "Epoch 430/1000, Cost: 3.7679\n",
+      " and the parameters are [-2.62122464  3.58630636] -4.646226561838311 ;\n",
+      "Epoch 430/1000, Cost: 2.8512\n",
+      " and the parameters are [-2.62122223  3.58630298] -4.64627025059171 ;\n",
+      "Epoch 430/1000, Cost: 5.3720\n",
+      " and the parameters are [-2.62106437  3.58639407] -4.646324902182197 ;\n",
+      "Epoch 430/1000, Cost: 3.6283\n",
+      " and the parameters are [-2.62105758  3.58639312] -4.646376543894638 ;\n",
+      "Epoch 430/1000, Cost: 2.6257\n",
+      " and the parameters are [-2.62108432  3.58644167] -4.646355279866706 ;\n",
+      "Epoch 430/1000, Cost: 2.4204\n",
+      " and the parameters are [-2.62106463  3.58646006] -4.646386189141554 ;\n",
+      "Epoch 430/1000, Cost: 2.3968\n",
+      " and the parameters are [-2.621108    3.58653868] -4.6463324763628915 ;\n",
+      "Epoch 430/1000, Cost: 5.3248\n",
+      " and the parameters are [-2.62115633  3.58653163] -4.646324800037013 ;\n",
+      "Epoch 430/1000, Cost: 4.6721\n",
+      " and the parameters are [-2.6211614  3.5864744] -4.646408074920674 ;\n",
+      "Epoch 430/1000, Cost: 1.5895\n",
+      " and the parameters are [-2.62116005  3.58648839] -4.6464296435207695 ;\n",
+      "Epoch 430/1000, Cost: 5.4943\n",
+      " and the parameters are [-2.62115632  3.58647966] -4.646456743502669 ;\n",
+      "Epoch 430/1000, Cost: 2.3542\n",
+      " and the parameters are [-2.62118806  3.58645745] -4.646487921481374 ;\n",
+      "Epoch 430/1000, Cost: 4.0379\n",
+      " and the parameters are [-2.62122357  3.58648987] -4.646482454209695 ;\n",
+      "Epoch 430/1000, Cost: 3.4682\n",
+      " and the parameters are [-2.62129188  3.5864919 ] -4.646483411394612 ;\n",
+      "Epoch 430/1000, Cost: 3.0599\n",
+      " and the parameters are [-2.62129667  3.58655526] -4.646476893908298 ;\n",
+      "Epoch 430/1000, Cost: 3.6186\n",
+      " and the parameters are [-2.62129275  3.58650472] -4.646555159138476 ;\n",
+      "Epoch 430/1000, Cost: 5.7409\n",
+      " and the parameters are [-2.6212837   3.58642392] -4.646618107085061 ;\n",
+      "Epoch 430/1000, Cost: 3.2453\n",
+      " and the parameters are [-2.6212925   3.58640387] -4.646653540753808 ;\n",
+      "Epoch 430/1000, Cost: 1.9411\n",
+      " and the parameters are [-2.62132508  3.58638516] -4.6466898114169854 ;\n",
+      "Epoch 430/1000, Cost: 1.8043\n",
+      " and the parameters are [-2.62132784  3.58640218] -4.646710221683615 ;\n",
+      "Epoch 430/1000, Cost: 2.8155\n",
+      " and the parameters are [-2.62141635  3.58645793] -4.646652182596849 ;\n",
+      "Epoch 430/1000, Cost: 2.2742\n",
+      " and the parameters are [-2.62142943  3.58651889] -4.646644761426465 ;\n",
+      "Epoch 430/1000, Cost: 1.9141\n",
+      " and the parameters are [-2.62140765  3.58655614] -4.646665944314213 ;\n",
+      "Epoch 430/1000, Cost: 1.9114\n",
+      " and the parameters are [-2.62142635  3.58656935] -4.646677105614155 ;\n",
+      "Epoch 430/1000, Cost: 1.8860\n",
+      " and the parameters are [-2.62142047  3.58661434] -4.646683034155318 ;\n",
+      "Epoch 430/1000, Cost: 3.8211\n",
+      " and the parameters are [-2.62138064  3.58672842] -4.646660364909666 ;\n",
+      "Epoch 430/1000, Cost: 1.7352\n",
+      " and the parameters are [-2.62137511  3.58677683] -4.6466723387239455 ;\n",
+      "Epoch 430/1000, Cost: 4.6147\n",
+      " and the parameters are [-2.62135976  3.58673649] -4.646747613856573 ;\n",
+      "Epoch 430/1000, Cost: 2.0665\n",
+      " and the parameters are [-2.62143393  3.58667786] -4.646793875490826 ;\n",
+      "Epoch 430/1000, Cost: 4.1108\n",
+      " and the parameters are [-2.6214045   3.58661194] -4.646900638331583 ;\n",
+      "Epoch 430/1000, Cost: 2.7282\n",
+      " and the parameters are [-2.62146918  3.58653588] -4.646962415166427 ;\n",
+      "Epoch 430/1000, Cost: 2.1706\n",
+      " and the parameters are [-2.62150402  3.58658483] -4.646947264804052 ;\n",
+      "Epoch 430/1000, Cost: 3.7489\n",
+      " and the parameters are [-2.62149756  3.58661512] -4.646967065514171 ;\n",
+      "Epoch 430/1000, Cost: 4.4188\n",
+      " and the parameters are [-2.62151665  3.58666668] -4.646941499406054 ;\n",
+      "Epoch 430/1000, Cost: 3.4465\n",
+      " and the parameters are [-2.62164533  3.58651687] -4.646998194424377 ;\n",
+      "Epoch 430/1000, Cost: 2.8066\n",
+      " and the parameters are [-2.62163591  3.58664591] -4.646953784419668 ;\n",
+      "Epoch 430/1000, Cost: 2.2343\n",
+      " and the parameters are [-2.62167203  3.58663622] -4.646975540403629 ;\n",
+      "Epoch 430/1000, Cost: 3.0284\n",
+      " and the parameters are [-2.62169968  3.58667818] -4.6469697150392735 ;\n",
+      "Epoch 430/1000, Cost: 3.6741\n",
+      " and the parameters are [-2.62172929  3.58660897] -4.647034853191738 ;\n",
+      "Epoch 430/1000, Cost: 4.4270\n",
+      " and the parameters are [-2.62171202  3.58658151] -4.647090168535957 ;\n",
+      "Epoch 430/1000, Cost: 3.0462\n",
+      " and the parameters are [-2.621725    3.58668474] -4.647035241572938 ;\n",
+      "Epoch 430/1000, Cost: 1.9940\n",
+      " and the parameters are [-2.62166109  3.58678981] -4.647024111826034 ;\n",
+      "Epoch 430/1000, Cost: 3.7135\n",
+      " and the parameters are [-2.62160765  3.58685207] -4.647038232140765 ;\n",
+      "Epoch 430/1000, Cost: 1.6168\n",
+      " and the parameters are [-2.62162833  3.58685215] -4.647057434030666 ;\n",
+      "Epoch 430/1000, Cost: 4.8843\n",
+      " and the parameters are [-2.62157626  3.58694684] -4.647032589222755 ;\n",
+      "Epoch 430/1000, Cost: 1.5037\n",
+      " and the parameters are [-2.62159017  3.58694625] -4.6470602923267395 ;\n",
+      "Epoch 430/1000, Cost: 6.0409\n",
+      " and the parameters are [-2.6216005   3.58678141] -4.647182213253056 ;\n",
+      "Epoch 430/1000, Cost: 1.9588\n",
+      " and the parameters are [-2.6216241   3.58685493] -4.647144696899585 ;\n",
+      "Epoch 430/1000, Cost: 1.3862\n",
+      " and the parameters are [-2.62165213  3.58682981] -4.647175833309214 ;\n",
+      "Epoch 430/1000, Cost: 2.1141\n",
+      " and the parameters are [-2.621706    3.58681283] -4.647196194867591 ;\n",
+      "Epoch 430/1000, Cost: 7.7990\n",
+      " and the parameters are [-2.62178166  3.58681357] -4.6471378337763065 ;\n",
+      "Epoch 430/1000, Cost: 4.9463\n",
+      " and the parameters are [-2.62177051  3.58694795] -4.64708056121332 ;\n",
+      "Epoch 430/1000, Cost: 4.4679\n",
+      " and the parameters are [-2.62175696  3.58697613] -4.647100269799045 ;\n",
+      "Epoch 430/1000, Cost: 2.5858\n",
+      " and the parameters are [-2.62172757  3.58699603] -4.647132916957906 ;\n",
+      "Epoch 430/1000, Cost: 4.1036\n",
+      " and the parameters are [-2.62176907  3.58696578] -4.6471522935444955 ;\n",
+      "Epoch 430/1000, Cost: 3.7607\n",
+      " and the parameters are [-2.62174841  3.58695744] -4.6471878633168515 ;\n",
+      "Epoch 430/1000, Cost: 3.8507\n",
+      " and the parameters are [-2.62173419  3.58694647] -4.647236600831161 ;\n",
+      "Epoch 430/1000, Cost: 1.2348\n",
+      " and the parameters are [-2.62175825  3.58696246] -4.647243566436681 ;\n",
+      "Epoch 430/1000, Cost: 2.4399\n",
+      " and the parameters are [-2.62175779  3.58691772] -4.647296875180168 ;\n",
+      "Epoch 430/1000, Cost: 1.2247\n",
+      " and the parameters are [-2.6217945   3.58690809] -4.647315119901893 ;\n",
+      "Epoch 430/1000, Cost: 1.2202\n",
+      " and the parameters are [-2.62180957  3.58694869] -4.647304865866729 ;\n",
+      "Epoch 430/1000, Cost: 5.3665\n",
+      " and the parameters are [-2.62178631  3.58700413] -4.647296931320133 ;\n",
+      "Epoch 430/1000, Cost: 3.6097\n",
+      " and the parameters are [-2.62176866  3.58696899] -4.647373234094574 ;\n",
+      "Epoch 430/1000, Cost: 6.3989\n",
+      " and the parameters are [-2.62183281  3.58695623] -4.64738346303743 ;\n",
+      "Epoch 430/1000, Cost: 5.1668\n",
+      " and the parameters are [-2.62179862  3.58701833] -4.64737060812577 ;\n",
+      "Epoch 430/1000, Cost: 2.5173\n",
+      " and the parameters are [-2.62185705  3.58694659] -4.647425062406947 ;\n",
+      "Epoch 430/1000, Cost: 2.9034\n",
+      " and the parameters are [-2.62186146  3.5869491 ] -4.647455663879645 ;\n",
+      "Epoch 430/1000, Cost: 1.9975\n",
+      " and the parameters are [-2.6218546   3.58700557] -4.64745516656128 ;\n",
+      "Epoch 430/1000, Cost: 2.2779\n",
+      " and the parameters are [-2.62185917  3.5870606 ] -4.6474432013668805 ;\n",
+      "Epoch 430/1000, Cost: 5.1327\n",
+      " and the parameters are [-2.62189355  3.58708014] -4.647443963891549 ;\n",
+      "Epoch 430/1000, Cost: 2.8347\n",
+      " and the parameters are [-2.62189417  3.5872357 ] -4.647376026065971 ;\n",
+      "Epoch 430/1000, Cost: 5.3212\n",
+      " and the parameters are [-2.62192131  3.58721683] -4.647388070841585 ;\n",
+      "Epoch 430/1000, Cost: 7.8900\n",
+      " and the parameters are [-2.62194499  3.58710139] -4.647469468950595 ;\n",
+      "Epoch 430/1000, Cost: 2.4804\n",
+      " and the parameters are [-2.62196815  3.58703988] -4.647548296879716 ;\n",
+      "Epoch 430/1000, Cost: 4.9817\n",
+      " and the parameters are [-2.6219848   3.58695191] -4.647649283232758 ;\n",
+      "Epoch 430/1000, Cost: 3.5332\n",
+      " and the parameters are [-2.62203522  3.58683547] -4.647736946839085 ;\n",
+      "Epoch 430/1000, Cost: 1.9587\n",
+      " and the parameters are [-2.62202034  3.58684868] -4.647771326815645 ;\n",
+      "Epoch 430/1000, Cost: 1.5947\n",
+      " and the parameters are [-2.62203364  3.58689772] -4.64775370055372 ;\n",
+      "Epoch 430/1000, Cost: 1.4625\n",
+      " and the parameters are [-2.62207702  3.5868734 ] -4.647779052101543 ;\n",
+      "Epoch 430/1000, Cost: 5.1754\n",
+      " and the parameters are [-2.62205536  3.5869426 ] -4.647747207267832 ;\n",
+      "Epoch 430/1000, Cost: 3.2061\n",
+      " and the parameters are [-2.62201644  3.58704442] -4.647732452547132 ;\n",
+      "Epoch 430/1000, Cost: 3.0958\n",
+      " and the parameters are [-2.62203606  3.58711231] -4.647714359685544 ;\n",
+      "Epoch 430/1000, Cost: 4.2098\n",
+      " and the parameters are [-2.62202466  3.58703232] -4.647805327117575 ;\n",
+      "Epoch 430/1000, Cost: 2.7669\n",
+      " and the parameters are [-2.62204     3.58711922] -4.647760261391997 ;\n",
+      "Epoch 430/1000, Cost: 5.3035\n",
+      " and the parameters are [-2.62212164  3.58700983] -4.647820203261139 ;\n",
+      "Epoch 430/1000, Cost: 3.0560\n",
+      " and the parameters are [-2.6221738   3.58701636] -4.647832251649711 ;\n",
+      "Epoch 430/1000, Cost: 2.9512\n",
+      " and the parameters are [-2.62219747  3.58697116] -4.647892804641738 ;\n",
+      "Epoch 430/1000, Cost: 1.9239\n",
+      " and the parameters are [-2.62218498  3.58696972] -4.647932914484254 ;\n",
+      "Epoch 430/1000, Cost: 2.3165\n",
+      " and the parameters are [-2.62221121  3.58699953] -4.647941794483847 ;\n",
+      "Epoch 430/1000, Cost: 4.7077\n",
+      " and the parameters are [-2.62221779  3.58695223] -4.648013936004423 ;\n",
+      "Epoch 430/1000, Cost: 3.7605\n",
+      " and the parameters are [-2.62223444  3.58697914] -4.648009739151581 ;\n",
+      "Epoch 430/1000, Cost: 3.4955\n",
+      " and the parameters are [-2.62226159  3.58700548] -4.64801995538882 ;\n",
+      "Epoch 430/1000, Cost: 3.9572\n",
+      " and the parameters are [-2.62225554  3.58701892] -4.648044567762003 ;\n",
+      "Epoch 430/1000, Cost: 2.6762\n",
+      " and the parameters are [-2.62225079  3.58713803] -4.648000784321389 ;\n",
+      "Epoch 430/1000, Cost: 2.7185\n",
+      " and the parameters are [-2.62222813  3.58719839] -4.648005211458929 ;\n",
+      "Epoch 430/1000, Cost: 2.6795\n",
+      " and the parameters are [-2.62226903  3.58718102] -4.64803348733625 ;\n",
+      "Epoch 430/1000, Cost: 2.6785\n",
+      " and the parameters are [-2.62233056  3.58723637] -4.647986484218423 ;\n",
+      "Epoch 430/1000, Cost: 5.4312\n",
+      " and the parameters are [-2.62229701  3.58729348] -4.647991261642044 ;\n",
+      "Epoch 430/1000, Cost: 2.8242\n",
+      " and the parameters are [-2.62223155  3.58744567] -4.647948300804566 ;\n",
+      "Epoch 430/1000, Cost: 4.0920\n",
+      " and the parameters are [-2.62220268  3.58754168] -4.647923061345813 ;\n",
+      "Epoch 430/1000, Cost: 3.3231\n",
+      " and the parameters are [-2.62218305  3.58760984] -4.6479252983465456 ;\n",
+      "Epoch 430/1000, Cost: 2.7269\n",
+      " and the parameters are [-2.62216106  3.58765712] -4.647937820496526 ;\n",
+      "Epoch 430/1000, Cost: 3.9876\n",
+      " and the parameters are [-2.6221739   3.58763522] -4.64798687714986 ;\n",
+      "Epoch 430/1000, Cost: 2.2326\n",
+      " and the parameters are [-2.6221811   3.58759436] -4.648050514108178 ;\n",
+      "Epoch 430/1000, Cost: 1.5869\n",
+      " and the parameters are [-2.62215041  3.58761907] -4.6480863831033465 ;\n",
+      "Epoch 430/1000, Cost: 2.8690\n",
+      " and the parameters are [-2.62217902  3.58757058] -4.648138929032544 ;\n",
+      "Epoch 430/1000, Cost: 1.0209\n",
+      " and the parameters are [-2.62217689  3.58762166] -4.648131134998861 ;\n",
+      "Epoch 430/1000, Cost: 3.0670\n",
+      " and the parameters are [-2.62215144  3.58773417] -4.648094364798739 ;\n",
+      "Epoch 430/1000, Cost: 3.0846\n",
+      " and the parameters are [-2.62219694  3.58763756] -4.648159842987026 ;\n",
+      "Epoch 430/1000, Cost: 6.8097\n",
+      " and the parameters are [-2.62224472  3.58753864] -4.648226465130111 ;\n",
+      "Epoch 430/1000, Cost: 3.2359\n",
+      " and the parameters are [-2.62231415  3.58748248] -4.6482796413215555 ;\n",
+      "Epoch 430/1000, Cost: 8.2702\n",
+      " and the parameters are [-2.62234527  3.58757941] -4.648180758983774 ;\n",
+      "Epoch 430/1000, Cost: 2.8961\n",
+      " and the parameters are [-2.62237377  3.58767157] -4.648117611810818 ;\n",
+      "Epoch 430/1000, Cost: 2.6180\n",
+      " and the parameters are [-2.62241329  3.58772263] -4.64810345837719 ;\n",
+      "Epoch 430/1000, Cost: 6.8951\n",
+      " and the parameters are [-2.62234639  3.5877509 ] -4.648084474948555 ;\n",
+      "Epoch 430/1000, Cost: 3.7583\n",
+      " and the parameters are [-2.62240227  3.58764694] -4.64816043676899 ;\n",
+      "Epoch 430/1000, Cost: 4.4981\n",
+      " and the parameters are [-2.62239787  3.5876874 ] -4.648166651883097 ;\n",
+      "Epoch 430/1000, Cost: 2.3834\n",
+      " and the parameters are [-2.62235782  3.5876713 ] -4.648234210555628 ;\n",
+      "Epoch 430/1000, Cost: 2.0921\n",
+      " and the parameters are [-2.6222867   3.58781133] -4.6481976645865215 ;\n",
+      "Epoch 430/1000, Cost: 2.6328\n",
+      " and the parameters are [-2.62239566  3.58772421] -4.648232205124046 ;\n",
+      "Epoch 430/1000, Cost: 1.4349\n",
+      " and the parameters are [-2.62244518  3.58768812] -4.648260658977921 ;\n",
+      "Epoch 430/1000, Cost: 3.8879\n",
+      " and the parameters are [-2.6223492   3.58770763] -4.648333529556896 ;\n",
+      "Epoch 430/1000, Cost: 2.9930\n",
+      " and the parameters are [-2.62235272  3.58777983] -4.648318508055484 ;\n",
+      "Epoch 430/1000, Cost: 3.9814\n",
+      " and the parameters are [-2.62240358  3.58775703] -4.648347755817567 ;\n",
+      "Epoch 430/1000, Cost: 7.7309\n",
+      " and the parameters are [-2.62239288  3.58764772] -4.64842629164 ;\n",
+      "Epoch 430/1000, Cost: 4.4822\n",
+      " and the parameters are [-2.62243941  3.58761677] -4.648444495511237 ;\n",
+      "Epoch 430/1000, Cost: 2.7810\n",
+      " and the parameters are [-2.62244577  3.58764519] -4.648444773046481 ;\n",
+      "Epoch 430/1000, Cost: 3.7636\n",
+      " and the parameters are [-2.6224076   3.58770152] -4.6484613942386 ;\n",
+      "Epoch 430/1000, Cost: 3.3701\n",
+      " and the parameters are [-2.62238553  3.58772875] -4.648482258730983 ;\n",
+      "Epoch 440/1000, Cost: 2.6741\n",
+      " and the parameters are [-2.63858839  3.60788361] -4.677392995902236 ;\n",
+      "Epoch 440/1000, Cost: 5.2980\n",
+      " and the parameters are [-2.63854175  3.60793477] -4.6773903241351 ;\n",
+      "Epoch 440/1000, Cost: 2.2139\n",
+      " and the parameters are [-2.63855255  3.60793005] -4.6774274256605075 ;\n",
+      "Epoch 440/1000, Cost: 2.3085\n",
+      " and the parameters are [-2.63855387  3.60800334] -4.677405889937728 ;\n",
+      "Epoch 440/1000, Cost: 4.6905\n",
+      " and the parameters are [-2.63856747  3.6080638 ] -4.677390740872079 ;\n",
+      "Epoch 440/1000, Cost: 4.0705\n",
+      " and the parameters are [-2.63861431  3.6080452 ] -4.677412154469319 ;\n",
+      "Epoch 440/1000, Cost: 2.2289\n",
+      " and the parameters are [-2.63862654  3.60811971] -4.677373725644535 ;\n",
+      "Epoch 440/1000, Cost: 2.4629\n",
+      " and the parameters are [-2.63865681  3.60806589] -4.677440371263706 ;\n",
+      "Epoch 440/1000, Cost: 5.6787\n",
+      " and the parameters are [-2.63868268  3.6080841 ] -4.677412831415333 ;\n",
+      "Epoch 440/1000, Cost: 1.6316\n",
+      " and the parameters are [-2.63867645  3.60810072] -4.677435212366485 ;\n",
+      "Epoch 440/1000, Cost: 2.2653\n",
+      " and the parameters are [-2.63868974  3.60813735] -4.677438275391271 ;\n",
+      "Epoch 440/1000, Cost: 5.1222\n",
+      " and the parameters are [-2.63874732  3.60798109] -4.677549874631296 ;\n",
+      "Epoch 440/1000, Cost: 4.5139\n",
+      " and the parameters are [-2.63876321  3.6080851 ] -4.6774794652677345 ;\n",
+      "Epoch 440/1000, Cost: 1.6628\n",
+      " and the parameters are [-2.63873889  3.60811542] -4.677512239266442 ;\n",
+      "Epoch 440/1000, Cost: 3.0808\n",
+      " and the parameters are [-2.63866305  3.60812441] -4.677596252328842 ;\n",
+      "Epoch 440/1000, Cost: 2.2496\n",
+      " and the parameters are [-2.63866292  3.60817383] -4.677600523538623 ;\n",
+      "Epoch 440/1000, Cost: 2.6088\n",
+      " and the parameters are [-2.63872854  3.60810552] -4.67764713124947 ;\n",
+      "Epoch 440/1000, Cost: 3.4103\n",
+      " and the parameters are [-2.63869415  3.60813041] -4.677687784274351 ;\n",
+      "Epoch 440/1000, Cost: 2.8883\n",
+      " and the parameters are [-2.63868115  3.60819602] -4.6776702082471155 ;\n",
+      "Epoch 440/1000, Cost: 1.0613\n",
+      " and the parameters are [-2.63870116  3.60816956] -4.677699919174695 ;\n",
+      "Epoch 440/1000, Cost: 3.0544\n",
+      " and the parameters are [-2.6387129   3.60810349] -4.677780899705678 ;\n",
+      "Epoch 440/1000, Cost: 2.7001\n",
+      " and the parameters are [-2.63873123  3.60810012] -4.6778001411156 ;\n",
+      "Epoch 440/1000, Cost: 5.8843\n",
+      " and the parameters are [-2.6387742   3.60801966] -4.677868955621916 ;\n",
+      "Epoch 440/1000, Cost: 6.0909\n",
+      " and the parameters are [-2.63874227  3.6080323 ] -4.677894785226239 ;\n",
+      "Epoch 440/1000, Cost: 4.7649\n",
+      " and the parameters are [-2.63877913  3.60809596] -4.677857536263358 ;\n",
+      "Epoch 440/1000, Cost: 1.6198\n",
+      " and the parameters are [-2.63874451  3.60814344] -4.677877705759577 ;\n",
+      "Epoch 440/1000, Cost: 3.9008\n",
+      " and the parameters are [-2.63867679  3.60811172] -4.677953773372201 ;\n",
+      "Epoch 440/1000, Cost: 2.1992\n",
+      " and the parameters are [-2.63869301  3.60815621] -4.677942609140253 ;\n",
+      "Epoch 440/1000, Cost: 5.1456\n",
+      " and the parameters are [-2.63866879  3.60818542] -4.677950409438086 ;\n",
+      "Epoch 440/1000, Cost: 1.5863\n",
+      " and the parameters are [-2.63866806  3.60821513] -4.677962170666596 ;\n",
+      "Epoch 440/1000, Cost: 3.7861\n",
+      " and the parameters are [-2.63866054  3.60827889] -4.677948203168217 ;\n",
+      "Epoch 440/1000, Cost: 3.1844\n",
+      " and the parameters are [-2.63866634  3.60832008] -4.677942398227108 ;\n",
+      "Epoch 440/1000, Cost: 3.2017\n",
+      " and the parameters are [-2.63872963  3.60828894] -4.677966754873222 ;\n",
+      "Epoch 440/1000, Cost: 1.7094\n",
+      " and the parameters are [-2.63874764  3.60834608] -4.677944539373535 ;\n",
+      "Epoch 440/1000, Cost: 6.9494\n",
+      " and the parameters are [-2.63863431  3.60848923] -4.677892277038786 ;\n",
+      "Epoch 440/1000, Cost: 2.7061\n",
+      " and the parameters are [-2.63864878  3.60849614] -4.677922429506196 ;\n",
+      "Epoch 440/1000, Cost: 4.2142\n",
+      " and the parameters are [-2.6386478   3.60854211] -4.677923815840984 ;\n",
+      "Epoch 440/1000, Cost: 2.3148\n",
+      " and the parameters are [-2.63861287  3.60866486] -4.6778827434194055 ;\n",
+      "Epoch 440/1000, Cost: 1.7774\n",
+      " and the parameters are [-2.63860117  3.60868078] -4.677906159785943 ;\n",
+      "Epoch 440/1000, Cost: 2.3913\n",
+      " and the parameters are [-2.63861437  3.60871589] -4.677916911281455 ;\n",
+      "Epoch 440/1000, Cost: 3.7406\n",
+      " and the parameters are [-2.63859892  3.60870668] -4.67796246762853 ;\n",
+      "Epoch 440/1000, Cost: 5.7415\n",
+      " and the parameters are [-2.63861646  3.60880856] -4.677894214717647 ;\n",
+      "Epoch 440/1000, Cost: 4.2455\n",
+      " and the parameters are [-2.63860676  3.60875303] -4.677967668499272 ;\n",
+      "Epoch 440/1000, Cost: 3.5738\n",
+      " and the parameters are [-2.63866893  3.60866452] -4.678021303461219 ;\n",
+      "Epoch 440/1000, Cost: 4.3853\n",
+      " and the parameters are [-2.63869296  3.60862712] -4.678057459190863 ;\n",
+      "Epoch 440/1000, Cost: 2.2348\n",
+      " and the parameters are [-2.6387613  3.6085443] -4.6781121673074395 ;\n",
+      "Epoch 440/1000, Cost: 4.2739\n",
+      " and the parameters are [-2.6387592   3.60871773] -4.678020678128438 ;\n",
+      "Epoch 440/1000, Cost: 3.7239\n",
+      " and the parameters are [-2.63879228  3.6087025 ] -4.678050964692685 ;\n",
+      "Epoch 440/1000, Cost: 3.1856\n",
+      " and the parameters are [-2.63880258  3.60873455] -4.678059406981447 ;\n",
+      "Epoch 440/1000, Cost: 2.5458\n",
+      " and the parameters are [-2.63874514  3.608867  ] -4.678014491171507 ;\n",
+      "Epoch 440/1000, Cost: 2.6500\n",
+      " and the parameters are [-2.63876368  3.60890063] -4.678006050905238 ;\n",
+      "Epoch 440/1000, Cost: 4.6798\n",
+      " and the parameters are [-2.638796   3.6088102] -4.678076470666826 ;\n",
+      "Epoch 440/1000, Cost: 9.8972\n",
+      " and the parameters are [-2.63879205  3.60869837] -4.678132434545676 ;\n",
+      "Epoch 440/1000, Cost: 1.1730\n",
+      " and the parameters are [-2.63877076  3.60875977] -4.678131334975462 ;\n",
+      "Epoch 440/1000, Cost: 1.7429\n",
+      " and the parameters are [-2.63874798  3.60881531] -4.678136464331227 ;\n",
+      "Epoch 440/1000, Cost: 7.0085\n",
+      " and the parameters are [-2.63874354  3.60873469] -4.67820978189445 ;\n",
+      "Epoch 440/1000, Cost: 6.4189\n",
+      " and the parameters are [-2.63873241  3.60868074] -4.678268421556825 ;\n",
+      "Epoch 440/1000, Cost: 4.1051\n",
+      " and the parameters are [-2.63882185  3.6086342 ] -4.6782825951451334 ;\n",
+      "Epoch 440/1000, Cost: 3.8503\n",
+      " and the parameters are [-2.6389095   3.60856135] -4.678330466073766 ;\n",
+      "Epoch 440/1000, Cost: 3.6119\n",
+      " and the parameters are [-2.63900655  3.60861689] -4.678251480398597 ;\n",
+      "Epoch 440/1000, Cost: 2.4647\n",
+      " and the parameters are [-2.63902468  3.60863673] -4.678264217712123 ;\n",
+      "Epoch 440/1000, Cost: 3.6193\n",
+      " and the parameters are [-2.63906296  3.60866226] -4.678268720608495 ;\n",
+      "Epoch 440/1000, Cost: 3.6180\n",
+      " and the parameters are [-2.63907962  3.60877194] -4.678212483177526 ;\n",
+      "Epoch 440/1000, Cost: 2.6259\n",
+      " and the parameters are [-2.63909705  3.60874914] -4.6782603662028395 ;\n",
+      "Epoch 440/1000, Cost: 2.8184\n",
+      " and the parameters are [-2.63913403  3.60876622] -4.678259954196233 ;\n",
+      "Epoch 440/1000, Cost: 5.2075\n",
+      " and the parameters are [-2.63908421  3.60869409] -4.6783532884131995 ;\n",
+      "Epoch 440/1000, Cost: 2.6334\n",
+      " and the parameters are [-2.63907982  3.60869476] -4.678403517244076 ;\n",
+      "Epoch 440/1000, Cost: 3.0087\n",
+      " and the parameters are [-2.63908896  3.60877539] -4.678382450632489 ;\n",
+      "Epoch 440/1000, Cost: 3.2910\n",
+      " and the parameters are [-2.63914262  3.60870465] -4.678437952414065 ;\n",
+      "Epoch 440/1000, Cost: 2.8524\n",
+      " and the parameters are [-2.63918668  3.60871281] -4.678431786322158 ;\n",
+      "Epoch 440/1000, Cost: 2.1444\n",
+      " and the parameters are [-2.63915265  3.60878355] -4.678445552208646 ;\n",
+      "Epoch 440/1000, Cost: 4.0651\n",
+      " and the parameters are [-2.63904564  3.60886397] -4.678485469314694 ;\n",
+      "Epoch 440/1000, Cost: 3.8178\n",
+      " and the parameters are [-2.63909033  3.60883016] -4.678521679684111 ;\n",
+      "Epoch 440/1000, Cost: 4.1414\n",
+      " and the parameters are [-2.6390926   3.60893542] -4.678459966502454 ;\n",
+      "Epoch 440/1000, Cost: 3.2726\n",
+      " and the parameters are [-2.63909491  3.6088999 ] -4.678521240196549 ;\n",
+      "Epoch 440/1000, Cost: 3.6163\n",
+      " and the parameters are [-2.63913888  3.6088914 ] -4.678536806859507 ;\n",
+      "Epoch 440/1000, Cost: 4.9952\n",
+      " and the parameters are [-2.63906035  3.60899501] -4.678524617232337 ;\n",
+      "Epoch 440/1000, Cost: 4.0225\n",
+      " and the parameters are [-2.63907676  3.6089663 ] -4.678581986430239 ;\n",
+      "Epoch 440/1000, Cost: 1.9999\n",
+      " and the parameters are [-2.63911682  3.60891832] -4.6786256983242644 ;\n",
+      "Epoch 440/1000, Cost: 5.1780\n",
+      " and the parameters are [-2.63912326  3.6088514 ] -4.678699179051082 ;\n",
+      "Epoch 440/1000, Cost: 5.0410\n",
+      " and the parameters are [-2.63916315  3.60886725] -4.678679726437498 ;\n",
+      "Epoch 440/1000, Cost: 2.6253\n",
+      " and the parameters are [-2.63912723  3.60886067] -4.678735094325697 ;\n",
+      "Epoch 440/1000, Cost: 2.0660\n",
+      " and the parameters are [-2.63910435  3.60884607] -4.678791006820854 ;\n",
+      "Epoch 440/1000, Cost: 1.7345\n",
+      " and the parameters are [-2.63910433  3.60885235] -4.678822444804332 ;\n",
+      "Epoch 440/1000, Cost: 4.9518\n",
+      " and the parameters are [-2.63927462  3.60882718] -4.678769539813578 ;\n",
+      "Epoch 440/1000, Cost: 3.5747\n",
+      " and the parameters are [-2.63930916  3.60890654] -4.678701769910479 ;\n",
+      "Epoch 440/1000, Cost: 4.8397\n",
+      " and the parameters are [-2.63926671  3.60900066] -4.678666807560877 ;\n",
+      "Epoch 440/1000, Cost: 2.4558\n",
+      " and the parameters are [-2.63929812  3.60907504] -4.6786282057098365 ;\n",
+      "Epoch 440/1000, Cost: 2.6869\n",
+      " and the parameters are [-2.63923627  3.60921129] -4.678592839032438 ;\n",
+      "Epoch 440/1000, Cost: 2.9384\n",
+      " and the parameters are [-2.63922495  3.6091791 ] -4.678662735339714 ;\n",
+      "Epoch 440/1000, Cost: 2.7888\n",
+      " and the parameters are [-2.63925051  3.60920058] -4.678675998714946 ;\n",
+      "Epoch 440/1000, Cost: 2.7509\n",
+      " and the parameters are [-2.63920587  3.60933608] -4.678625212272644 ;\n",
+      "Epoch 440/1000, Cost: 1.7956\n",
+      " and the parameters are [-2.63922093  3.60940181] -4.678598391484288 ;\n",
+      "Epoch 440/1000, Cost: 1.8300\n",
+      " and the parameters are [-2.63919733  3.60950499] -4.678574235822342 ;\n",
+      "Epoch 440/1000, Cost: 6.7170\n",
+      " and the parameters are [-2.63915341  3.6095643 ] -4.6785337572909125 ;\n",
+      "Epoch 440/1000, Cost: 1.4859\n",
+      " and the parameters are [-2.63914455  3.60962202] -4.678527981862867 ;\n",
+      "Epoch 440/1000, Cost: 2.6192\n",
+      " and the parameters are [-2.63919244  3.60961869] -4.678542943619676 ;\n",
+      "Epoch 440/1000, Cost: 3.1762\n",
+      " and the parameters are [-2.6392692   3.60967617] -4.678491700833855 ;\n",
+      "Epoch 440/1000, Cost: 2.9589\n",
+      " and the parameters are [-2.63933205  3.60977808] -4.678423256030379 ;\n",
+      "Epoch 440/1000, Cost: 2.4926\n",
+      " and the parameters are [-2.63933465  3.60976911] -4.67846013934226 ;\n",
+      "Epoch 440/1000, Cost: 1.6048\n",
+      " and the parameters are [-2.63934663  3.60976845] -4.6784895623358675 ;\n",
+      "Epoch 440/1000, Cost: 3.2481\n",
+      " and the parameters are [-2.63933703  3.60984123] -4.678489305969351 ;\n",
+      "Epoch 440/1000, Cost: 2.8972\n",
+      " and the parameters are [-2.63935823  3.60986504] -4.678507896691242 ;\n",
+      "Epoch 440/1000, Cost: 7.2620\n",
+      " and the parameters are [-2.63944124  3.60963704] -4.678629899551613 ;\n",
+      "Epoch 440/1000, Cost: 2.3195\n",
+      " and the parameters are [-2.63940724  3.60968699] -4.6786447632387365 ;\n",
+      "Epoch 440/1000, Cost: 6.0506\n",
+      " and the parameters are [-2.63936799  3.6098376 ] -4.6785501629465776 ;\n",
+      "Epoch 440/1000, Cost: 4.1240\n",
+      " and the parameters are [-2.63940207  3.6097133 ] -4.678647236825433 ;\n",
+      "Epoch 440/1000, Cost: 1.9134\n",
+      " and the parameters are [-2.63940645  3.60971927] -4.678667693173017 ;\n",
+      "Epoch 440/1000, Cost: 1.2361\n",
+      " and the parameters are [-2.63941167  3.60977585] -4.67865441020083 ;\n",
+      "Epoch 440/1000, Cost: 1.5891\n",
+      " and the parameters are [-2.63944169  3.60982832] -4.678631504823083 ;\n",
+      "Epoch 440/1000, Cost: 1.8966\n",
+      " and the parameters are [-2.63950505  3.60977631] -4.678656764706781 ;\n",
+      "Epoch 440/1000, Cost: 3.2452\n",
+      " and the parameters are [-2.63948345  3.60976896] -4.678716602996172 ;\n",
+      "Epoch 440/1000, Cost: 2.6144\n",
+      " and the parameters are [-2.6394448   3.60988788] -4.678686114040357 ;\n",
+      "Epoch 440/1000, Cost: 2.5005\n",
+      " and the parameters are [-2.63956271  3.60983059] -4.67869436026521 ;\n",
+      "Epoch 440/1000, Cost: 5.4839\n",
+      " and the parameters are [-2.63950772  3.60996305] -4.678627367609607 ;\n",
+      "Epoch 440/1000, Cost: 2.8305\n",
+      " and the parameters are [-2.63950925  3.60993465] -4.67868306859212 ;\n",
+      "Epoch 440/1000, Cost: 2.8245\n",
+      " and the parameters are [-2.63953947  3.60996963] -4.678665270105384 ;\n",
+      "Epoch 440/1000, Cost: 2.1420\n",
+      " and the parameters are [-2.63954278  3.61003852] -4.67864952291069 ;\n",
+      "Epoch 440/1000, Cost: 3.3761\n",
+      " and the parameters are [-2.63955714  3.61005075] -4.678667821373903 ;\n",
+      "Epoch 440/1000, Cost: 2.7370\n",
+      " and the parameters are [-2.63957619  3.61002473] -4.678704893677586 ;\n",
+      "Epoch 440/1000, Cost: 0.8419\n",
+      " and the parameters are [-2.63957446  3.61006858] -4.678699080524153 ;\n",
+      "Epoch 440/1000, Cost: 4.1541\n",
+      " and the parameters are [-2.63961783  3.60994853] -4.67878677673937 ;\n",
+      "Epoch 440/1000, Cost: 1.9521\n",
+      " and the parameters are [-2.63960558  3.61005858] -4.678743982343768 ;\n",
+      "Epoch 440/1000, Cost: 5.6804\n",
+      " and the parameters are [-2.63972267  3.60991034] -4.6788103805593515 ;\n",
+      "Epoch 440/1000, Cost: 2.9085\n",
+      " and the parameters are [-2.63979498  3.60985579] -4.678847193811353 ;\n",
+      "Epoch 440/1000, Cost: 1.0704\n",
+      " and the parameters are [-2.63976966  3.60989021] -4.678864417277984 ;\n",
+      "Epoch 440/1000, Cost: 2.3724\n",
+      " and the parameters are [-2.63973753  3.60989259] -4.6789092092293165 ;\n",
+      "Epoch 440/1000, Cost: 2.7855\n",
+      " and the parameters are [-2.63971866  3.60984293] -4.678992849759415 ;\n",
+      "Epoch 440/1000, Cost: 6.0630\n",
+      " and the parameters are [-2.63975171  3.60970819] -4.679091622239083 ;\n",
+      "Epoch 440/1000, Cost: 2.9132\n",
+      " and the parameters are [-2.63975648  3.60971482] -4.67912394822219 ;\n",
+      "Epoch 440/1000, Cost: 1.8275\n",
+      " and the parameters are [-2.63982885  3.60968531] -4.6791292020406585 ;\n",
+      "Epoch 440/1000, Cost: 2.0862\n",
+      " and the parameters are [-2.63983114  3.60975212] -4.6791106345991285 ;\n",
+      "Epoch 440/1000, Cost: 3.4869\n",
+      " and the parameters are [-2.63982962  3.60973351] -4.679157798266102 ;\n",
+      "Epoch 440/1000, Cost: 3.2215\n",
+      " and the parameters are [-2.6399348   3.60960499] -4.67922751914556 ;\n",
+      "Epoch 440/1000, Cost: 3.6963\n",
+      " and the parameters are [-2.63996028  3.60952057] -4.679297768842584 ;\n",
+      "Epoch 440/1000, Cost: 6.7646\n",
+      " and the parameters are [-2.6399517   3.60956945] -4.6792910465242485 ;\n",
+      "Epoch 440/1000, Cost: 3.1885\n",
+      " and the parameters are [-2.64000919  3.60962913] -4.679231415382999 ;\n",
+      "Epoch 440/1000, Cost: 6.2589\n",
+      " and the parameters are [-2.63998885  3.60965626] -4.679234712291571 ;\n",
+      "Epoch 440/1000, Cost: 5.7842\n",
+      " and the parameters are [-2.63995798  3.60983732] -4.679131726407532 ;\n",
+      "Epoch 440/1000, Cost: 2.0248\n",
+      " and the parameters are [-2.63989662  3.60986596] -4.6791680566481935 ;\n",
+      "Epoch 440/1000, Cost: 3.2255\n",
+      " and the parameters are [-2.63990472  3.60987898] -4.679204609085472 ;\n",
+      "Epoch 440/1000, Cost: 1.2275\n",
+      " and the parameters are [-2.63987     3.60994572] -4.679194795251476 ;\n",
+      "Epoch 440/1000, Cost: 2.3938\n",
+      " and the parameters are [-2.63987059  3.6099095 ] -4.679255830251356 ;\n",
+      "Epoch 440/1000, Cost: 6.8036\n",
+      " and the parameters are [-2.63992789  3.60977134] -4.679345215672383 ;\n",
+      "Epoch 440/1000, Cost: 5.8271\n",
+      " and the parameters are [-2.63995428  3.60970833] -4.679425816846736 ;\n",
+      "Epoch 440/1000, Cost: 3.2144\n",
+      " and the parameters are [-2.63999323  3.60966104] -4.679479828785084 ;\n",
+      "Epoch 440/1000, Cost: 3.1738\n",
+      " and the parameters are [-2.64001019  3.60966135] -4.679518089690022 ;\n",
+      "Epoch 440/1000, Cost: 4.8056\n",
+      " and the parameters are [-2.64002739  3.6096454 ] -4.679540107122724 ;\n",
+      "Epoch 440/1000, Cost: 3.3302\n",
+      " and the parameters are [-2.64008767  3.60953628] -4.679620355900925 ;\n",
+      "Epoch 440/1000, Cost: 3.1578\n",
+      " and the parameters are [-2.64014965  3.6094215 ] -4.67970969610449 ;\n",
+      "Epoch 440/1000, Cost: 10.0658\n",
+      " and the parameters are [-2.64002528  3.60937572] -4.679796278897813 ;\n",
+      "Epoch 440/1000, Cost: 7.3361\n",
+      " and the parameters are [-2.64002301  3.60946492] -4.679740684844385 ;\n",
+      "Epoch 440/1000, Cost: 5.7204\n",
+      " and the parameters are [-2.64007716  3.60945468] -4.679749039722562 ;\n",
+      "Epoch 440/1000, Cost: 0.8726\n",
+      " and the parameters are [-2.64010197  3.60945066] -4.679765835821461 ;\n",
+      "Epoch 440/1000, Cost: 3.8401\n",
+      " and the parameters are [-2.64015427  3.60937233] -4.67981779278511 ;\n",
+      "Epoch 440/1000, Cost: 2.0110\n",
+      " and the parameters are [-2.64019826  3.60940042] -4.679805840791729 ;\n",
+      "Epoch 440/1000, Cost: 2.9809\n",
+      " and the parameters are [-2.64020091  3.6094529 ] -4.679792706864288 ;\n",
+      "Epoch 440/1000, Cost: 4.2476\n",
+      " and the parameters are [-2.64014765  3.60946133] -4.679846473437167 ;\n",
+      "Epoch 440/1000, Cost: 7.2242\n",
+      " and the parameters are [-2.64010434  3.60950592] -4.679835281144178 ;\n",
+      "Epoch 440/1000, Cost: 3.4744\n",
+      " and the parameters are [-2.6400736   3.60964947] -4.6797636452597615 ;\n",
+      "Epoch 440/1000, Cost: 1.2607\n",
+      " and the parameters are [-2.64004359  3.60968738] -4.679778060513612 ;\n",
+      "Epoch 440/1000, Cost: 2.4845\n",
+      " and the parameters are [-2.64002233  3.60974667] -4.679772472735198 ;\n",
+      "Epoch 440/1000, Cost: 6.2299\n",
+      " and the parameters are [-2.63999644  3.60963629] -4.6798808892016615 ;\n",
+      "Epoch 440/1000, Cost: 2.4034\n",
+      " and the parameters are [-2.640024    3.60960335] -4.679929771463568 ;\n",
+      "Epoch 440/1000, Cost: 3.8100\n",
+      " and the parameters are [-2.64007685  3.60956305] -4.679974442276424 ;\n",
+      "Epoch 440/1000, Cost: 5.3712\n",
+      " and the parameters are [-2.6400727   3.60956224] -4.679983527782086 ;\n",
+      "Epoch 440/1000, Cost: 3.6007\n",
+      " and the parameters are [-2.64003497  3.60966129] -4.679961600723167 ;\n",
+      "Epoch 440/1000, Cost: 4.7345\n",
+      " and the parameters are [-2.64007447  3.60968179] -4.679943747700627 ;\n",
+      "Epoch 440/1000, Cost: 2.2340\n",
+      " and the parameters are [-2.64006176  3.60969318] -4.679988650595021 ;\n",
+      "Epoch 440/1000, Cost: 2.7257\n",
+      " and the parameters are [-2.64001538  3.60985345] -4.679930583648937 ;\n",
+      "Epoch 440/1000, Cost: 2.8992\n",
+      " and the parameters are [-2.64002364  3.60984568] -4.679974593248695 ;\n",
+      "Epoch 440/1000, Cost: 4.9984\n",
+      " and the parameters are [-2.64003504  3.60993639] -4.679907461102714 ;\n",
+      "Epoch 440/1000, Cost: 2.5204\n",
+      " and the parameters are [-2.64007746  3.61000583] -4.679869438263807 ;\n",
+      "Epoch 440/1000, Cost: 2.8385\n",
+      " and the parameters are [-2.64008314  3.61003293] -4.679875656662868 ;\n",
+      "Epoch 440/1000, Cost: 4.1358\n",
+      " and the parameters are [-2.64001306  3.61013907] -4.679861535051788 ;\n",
+      "Epoch 440/1000, Cost: 4.2364\n",
+      " and the parameters are [-2.64000378  3.61014496] -4.67989610189489 ;\n",
+      "Epoch 440/1000, Cost: 2.4741\n",
+      " and the parameters are [-2.64002861  3.61018838] -4.679886508452294 ;\n",
+      "Epoch 440/1000, Cost: 3.7827\n",
+      " and the parameters are [-2.64005501  3.61015919] -4.679919564539243 ;\n",
+      "Epoch 440/1000, Cost: 5.4786\n",
+      " and the parameters are [-2.64010283  3.61015461] -4.679925152695384 ;\n",
+      "Epoch 440/1000, Cost: 1.7956\n",
+      " and the parameters are [-2.64008165  3.61016421] -4.679961878959384 ;\n",
+      "Epoch 440/1000, Cost: 4.2938\n",
+      " and the parameters are [-2.64009962  3.61004039] -4.680079596095187 ;\n",
+      "Epoch 440/1000, Cost: 2.4843\n",
+      " and the parameters are [-2.64005883  3.61013628] -4.680070341390672 ;\n",
+      "Epoch 440/1000, Cost: 2.6111\n",
+      " and the parameters are [-2.64008845  3.61022919] -4.680019677810694 ;\n",
+      "Epoch 440/1000, Cost: 4.8603\n",
+      " and the parameters are [-2.64007652  3.61022789] -4.680037433756261 ;\n",
+      "Epoch 440/1000, Cost: 3.9850\n",
+      " and the parameters are [-2.64015728  3.61010042] -4.680116365577506 ;\n",
+      "Epoch 440/1000, Cost: 1.4377\n",
+      " and the parameters are [-2.64013003  3.61010208] -4.680163584287107 ;\n",
+      "Epoch 440/1000, Cost: 3.6172\n",
+      " and the parameters are [-2.64018902  3.60993644] -4.680270607280847 ;\n",
+      "Epoch 440/1000, Cost: 2.9132\n",
+      " and the parameters are [-2.64018942  3.60991151] -4.680317763985476 ;\n",
+      "Epoch 440/1000, Cost: 1.6357\n",
+      " and the parameters are [-2.64020347  3.60992943] -4.680327656711775 ;\n",
+      "Epoch 440/1000, Cost: 2.6390\n",
+      " and the parameters are [-2.64022039  3.60992933] -4.680359853925086 ;\n",
+      "Epoch 440/1000, Cost: 1.6484\n",
+      " and the parameters are [-2.64023747  3.60991833] -4.68039336141057 ;\n",
+      "Epoch 440/1000, Cost: 3.3094\n",
+      " and the parameters are [-2.64020892  3.60997007] -4.680415769896441 ;\n",
+      "Epoch 440/1000, Cost: 2.3432\n",
+      " and the parameters are [-2.64020248  3.60999169] -4.680444622712357 ;\n",
+      "Epoch 440/1000, Cost: 1.0600\n",
+      " and the parameters are [-2.64021284  3.61001694] -4.680451055863044 ;\n",
+      "Epoch 440/1000, Cost: 3.4609\n",
+      " and the parameters are [-2.6402347   3.60999699] -4.6804843566620375 ;\n",
+      "Epoch 440/1000, Cost: 3.9845\n",
+      " and the parameters are [-2.64023054  3.61007443] -4.680467630670569 ;\n",
+      "Epoch 440/1000, Cost: 2.9264\n",
+      " and the parameters are [-2.64026298  3.61007521] -4.680489001814025 ;\n",
+      "Epoch 440/1000, Cost: 1.2517\n",
+      " and the parameters are [-2.64030747  3.61003994] -4.6805246632975575 ;\n",
+      "Epoch 440/1000, Cost: 2.8255\n",
+      " and the parameters are [-2.64039758  3.60994934] -4.680585408064039 ;\n",
+      "Epoch 440/1000, Cost: 1.4496\n",
+      " and the parameters are [-2.64040688  3.60999353] -4.680582435148357 ;\n",
+      "Epoch 450/1000, Cost: 2.4639\n",
+      " and the parameters are [-2.65637628  3.62956372] -4.7089631532246266 ;\n",
+      "Epoch 450/1000, Cost: 3.7062\n",
+      " and the parameters are [-2.65637837  3.62957022] -4.70898316181448 ;\n",
+      "Epoch 450/1000, Cost: 4.0039\n",
+      " and the parameters are [-2.65641971  3.62964689] -4.708912952399375 ;\n",
+      "Epoch 450/1000, Cost: 1.9703\n",
+      " and the parameters are [-2.65636627  3.62974283] -4.708904144607738 ;\n",
+      "Epoch 450/1000, Cost: 1.5120\n",
+      " and the parameters are [-2.6563495   3.62982049] -4.708883154323325 ;\n",
+      "Epoch 450/1000, Cost: 1.4760\n",
+      " and the parameters are [-2.65634998  3.6298287 ] -4.708912043865401 ;\n",
+      "Epoch 450/1000, Cost: 9.0872\n",
+      " and the parameters are [-2.65627913  3.62999673] -4.70878184786043 ;\n",
+      "Epoch 450/1000, Cost: 3.1057\n",
+      " and the parameters are [-2.65620245  3.63001814] -4.708844643880495 ;\n",
+      "Epoch 450/1000, Cost: 2.1933\n",
+      " and the parameters are [-2.65627088  3.62998784] -4.708848761706826 ;\n",
+      "Epoch 450/1000, Cost: 2.5417\n",
+      " and the parameters are [-2.65627153  3.63005076] -4.708834953154264 ;\n",
+      "Epoch 450/1000, Cost: 4.1186\n",
+      " and the parameters are [-2.65632415  3.63007454] -4.708821936819091 ;\n",
+      "Epoch 450/1000, Cost: 4.0947\n",
+      " and the parameters are [-2.6563946   3.63015089] -4.708764517659089 ;\n",
+      "Epoch 450/1000, Cost: 1.5941\n",
+      " and the parameters are [-2.65641894  3.63018204] -4.708763656416626 ;\n",
+      "Epoch 450/1000, Cost: 5.6975\n",
+      " and the parameters are [-2.6564813   3.63010522] -4.7088109146381205 ;\n",
+      "Epoch 450/1000, Cost: 2.6974\n",
+      " and the parameters are [-2.65647803  3.63012827] -4.708831772002101 ;\n",
+      "Epoch 450/1000, Cost: 4.4767\n",
+      " and the parameters are [-2.65652718  3.63003593] -4.708898207409281 ;\n",
+      "Epoch 450/1000, Cost: 2.5164\n",
+      " and the parameters are [-2.65653988  3.6301377 ] -4.7088646631187085 ;\n",
+      "Epoch 450/1000, Cost: 2.5653\n",
+      " and the parameters are [-2.65654726  3.63016435] -4.7088761089983695 ;\n",
+      "Epoch 450/1000, Cost: 2.8878\n",
+      " and the parameters are [-2.65655726  3.6302108 ] -4.708864577589352 ;\n",
+      "Epoch 450/1000, Cost: 5.2604\n",
+      " and the parameters are [-2.65653026  3.63028695] -4.708828213431775 ;\n",
+      "Epoch 450/1000, Cost: 3.0169\n",
+      " and the parameters are [-2.65651283  3.63027523] -4.7088825869802555 ;\n",
+      "Epoch 450/1000, Cost: 3.2660\n",
+      " and the parameters are [-2.65654259  3.6301949 ] -4.7089590652706255 ;\n",
+      "Epoch 450/1000, Cost: 2.7744\n",
+      " and the parameters are [-2.65661032  3.63024312] -4.70891946161429 ;\n",
+      "Epoch 450/1000, Cost: 5.6311\n",
+      " and the parameters are [-2.65663213  3.6301852 ] -4.708985083932587 ;\n",
+      "Epoch 450/1000, Cost: 1.3434\n",
+      " and the parameters are [-2.65664718  3.63018531] -4.7090078003541045 ;\n",
+      "Epoch 450/1000, Cost: 2.8150\n",
+      " and the parameters are [-2.65666271  3.63012071] -4.709090735964698 ;\n",
+      "Epoch 450/1000, Cost: 1.6346\n",
+      " and the parameters are [-2.65669409  3.63017496] -4.709064387843328 ;\n",
+      "Epoch 450/1000, Cost: 2.2931\n",
+      " and the parameters are [-2.65668819  3.63015444] -4.709115716065971 ;\n",
+      "Epoch 450/1000, Cost: 3.2727\n",
+      " and the parameters are [-2.6566528   3.63019104] -4.709124242650209 ;\n",
+      "Epoch 450/1000, Cost: 2.0586\n",
+      " and the parameters are [-2.65667546  3.63022386] -4.709124066835571 ;\n",
+      "Epoch 450/1000, Cost: 1.1874\n",
+      " and the parameters are [-2.65667364  3.63024373] -4.709142735204646 ;\n",
+      "Epoch 450/1000, Cost: 3.0742\n",
+      " and the parameters are [-2.65671336  3.63018583] -4.709196388586774 ;\n",
+      "Epoch 450/1000, Cost: 5.7824\n",
+      " and the parameters are [-2.65681457  3.63007189] -4.709250080921601 ;\n",
+      "Epoch 450/1000, Cost: 3.3039\n",
+      " and the parameters are [-2.65677984  3.6301821 ] -4.709213535381089 ;\n",
+      "Epoch 450/1000, Cost: 3.3785\n",
+      " and the parameters are [-2.6567821   3.63016211] -4.7092779558897 ;\n",
+      "Epoch 450/1000, Cost: 2.8566\n",
+      " and the parameters are [-2.6568326   3.63014962] -4.709293568726121 ;\n",
+      "Epoch 450/1000, Cost: 4.9099\n",
+      " and the parameters are [-2.65687963  3.63017993] -4.70929657862427 ;\n",
+      "Epoch 450/1000, Cost: 1.4962\n",
+      " and the parameters are [-2.65691178  3.63021507] -4.7092882795012985 ;\n",
+      "Epoch 450/1000, Cost: 1.3975\n",
+      " and the parameters are [-2.65693708  3.63024895] -4.7092858980579635 ;\n",
+      "Epoch 450/1000, Cost: 1.1651\n",
+      " and the parameters are [-2.65695264  3.63026169] -4.709298453814087 ;\n",
+      "Epoch 450/1000, Cost: 1.8345\n",
+      " and the parameters are [-2.65699765  3.63026069] -4.709313001778997 ;\n",
+      "Epoch 450/1000, Cost: 2.2162\n",
+      " and the parameters are [-2.65704987  3.63019143] -4.709358166535832 ;\n",
+      "Epoch 450/1000, Cost: 2.1487\n",
+      " and the parameters are [-2.65700145  3.6302545 ] -4.709376374179363 ;\n",
+      "Epoch 450/1000, Cost: 2.3335\n",
+      " and the parameters are [-2.65702359  3.63022916] -4.709424218754007 ;\n",
+      "Epoch 450/1000, Cost: 4.4969\n",
+      " and the parameters are [-2.65715991  3.630088  ] -4.70947003385698 ;\n",
+      "Epoch 450/1000, Cost: 1.7705\n",
+      " and the parameters are [-2.65715217  3.63019806] -4.709423249616536 ;\n",
+      "Epoch 450/1000, Cost: 1.4259\n",
+      " and the parameters are [-2.6571453   3.63026494] -4.709404891518522 ;\n",
+      "Epoch 450/1000, Cost: 5.5725\n",
+      " and the parameters are [-2.65721352  3.63011638] -4.7094975723643975 ;\n",
+      "Epoch 450/1000, Cost: 3.7660\n",
+      " and the parameters are [-2.65721168  3.63013141] -4.709533931288266 ;\n",
+      "Epoch 450/1000, Cost: 1.7982\n",
+      " and the parameters are [-2.65721896  3.63015896] -4.709549257604502 ;\n",
+      "Epoch 450/1000, Cost: 4.7384\n",
+      " and the parameters are [-2.65720447  3.63021618] -4.7095130173309 ;\n",
+      "Epoch 450/1000, Cost: 2.2376\n",
+      " and the parameters are [-2.65720212  3.63022022] -4.709552083536252 ;\n",
+      "Epoch 450/1000, Cost: 4.5728\n",
+      " and the parameters are [-2.65720297  3.63027583] -4.709545204296745 ;\n",
+      "Epoch 450/1000, Cost: 1.1640\n",
+      " and the parameters are [-2.65720771  3.63031257] -4.709540349733365 ;\n",
+      "Epoch 450/1000, Cost: 3.4511\n",
+      " and the parameters are [-2.65713538  3.63030089] -4.709608489437047 ;\n",
+      "Epoch 450/1000, Cost: 1.7290\n",
+      " and the parameters are [-2.65707026  3.63036511] -4.709631371050891 ;\n",
+      "Epoch 450/1000, Cost: 3.7492\n",
+      " and the parameters are [-2.65707581  3.63047167] -4.709567589109623 ;\n",
+      "Epoch 450/1000, Cost: 4.8920\n",
+      " and the parameters are [-2.65711295  3.63031457] -4.709700792549534 ;\n",
+      "Epoch 450/1000, Cost: 0.8068\n",
+      " and the parameters are [-2.65710569  3.63033119] -4.709717591387095 ;\n",
+      "Epoch 450/1000, Cost: 3.5669\n",
+      " and the parameters are [-2.65705369  3.63032512] -4.7097573673538005 ;\n",
+      "Epoch 450/1000, Cost: 4.3631\n",
+      " and the parameters are [-2.65702117  3.63034496] -4.709796639540286 ;\n",
+      "Epoch 450/1000, Cost: 1.5867\n",
+      " and the parameters are [-2.65702548  3.63035737] -4.709820429547053 ;\n",
+      "Epoch 450/1000, Cost: 3.3967\n",
+      " and the parameters are [-2.6570564   3.63043695] -4.709767070833655 ;\n",
+      "Epoch 450/1000, Cost: 3.8560\n",
+      " and the parameters are [-2.65714157  3.63025477] -4.7098800361705235 ;\n",
+      "Epoch 450/1000, Cost: 5.2084\n",
+      " and the parameters are [-2.65727148  3.63011013] -4.70992688244884 ;\n",
+      "Epoch 450/1000, Cost: 1.6784\n",
+      " and the parameters are [-2.65729125  3.63015668] -4.7099145401549505 ;\n",
+      "Epoch 450/1000, Cost: 3.5171\n",
+      " and the parameters are [-2.65725498  3.63020295] -4.709924823501325 ;\n",
+      "Epoch 450/1000, Cost: 2.1471\n",
+      " and the parameters are [-2.65726999  3.63018788] -4.70996504239233 ;\n",
+      "Epoch 450/1000, Cost: 3.6561\n",
+      " and the parameters are [-2.65723605  3.63020242] -4.709993462307651 ;\n",
+      "Epoch 450/1000, Cost: 2.3021\n",
+      " and the parameters are [-2.65724999  3.6302402 ] -4.709986057596503 ;\n",
+      "Epoch 450/1000, Cost: 5.6408\n",
+      " and the parameters are [-2.6572557   3.63027164] -4.709968234261063 ;\n",
+      "Epoch 450/1000, Cost: 4.8160\n",
+      " and the parameters are [-2.65724004  3.63021449] -4.7100403765269006 ;\n",
+      "Epoch 450/1000, Cost: 4.9818\n",
+      " and the parameters are [-2.65730265  3.63014052] -4.71008903606152 ;\n",
+      "Epoch 450/1000, Cost: 4.8860\n",
+      " and the parameters are [-2.65732494  3.63011522] -4.710117954331108 ;\n",
+      "Epoch 450/1000, Cost: 2.9826\n",
+      " and the parameters are [-2.65728123  3.63019651] -4.710121326047844 ;\n",
+      "Epoch 450/1000, Cost: 2.4896\n",
+      " and the parameters are [-2.65730655  3.6302376 ] -4.7101181443418305 ;\n",
+      "Epoch 450/1000, Cost: 3.0758\n",
+      " and the parameters are [-2.65739281  3.63026883] -4.710072263518019 ;\n",
+      "Epoch 450/1000, Cost: 3.6413\n",
+      " and the parameters are [-2.65745389  3.63013248] -4.710172389724053 ;\n",
+      "Epoch 450/1000, Cost: 3.7980\n",
+      " and the parameters are [-2.65752756  3.63006367] -4.710226707634015 ;\n",
+      "Epoch 450/1000, Cost: 1.2943\n",
+      " and the parameters are [-2.65753818  3.6300964 ] -4.710228419771509 ;\n",
+      "Epoch 450/1000, Cost: 2.6691\n",
+      " and the parameters are [-2.65753486  3.6300432 ] -4.710311465228372 ;\n",
+      "Epoch 450/1000, Cost: 4.0846\n",
+      " and the parameters are [-2.65752573  3.6300935 ] -4.710311926688152 ;\n",
+      "Epoch 450/1000, Cost: 1.9876\n",
+      " and the parameters are [-2.65757516  3.63008526] -4.710332300513193 ;\n",
+      "Epoch 450/1000, Cost: 1.7672\n",
+      " and the parameters are [-2.65761521  3.63005947] -4.710367744197555 ;\n",
+      "Epoch 450/1000, Cost: 4.5099\n",
+      " and the parameters are [-2.65764518  3.6299111 ] -4.710493271904492 ;\n",
+      "Epoch 450/1000, Cost: 2.6339\n",
+      " and the parameters are [-2.65766293  3.62990558] -4.710523034179666 ;\n",
+      "Epoch 450/1000, Cost: 4.0124\n",
+      " and the parameters are [-2.65762378  3.62984473] -4.710610784835868 ;\n",
+      "Epoch 450/1000, Cost: 2.3895\n",
+      " and the parameters are [-2.65760597  3.6299504 ] -4.710574373937806 ;\n",
+      "Epoch 450/1000, Cost: 5.8904\n",
+      " and the parameters are [-2.65764204  3.63001712] -4.710529816166698 ;\n",
+      "Epoch 450/1000, Cost: 2.4104\n",
+      " and the parameters are [-2.65765489  3.63002444] -4.710561477303281 ;\n",
+      "Epoch 450/1000, Cost: 2.0728\n",
+      " and the parameters are [-2.65761161  3.63012715] -4.71054026402028 ;\n",
+      "Epoch 450/1000, Cost: 2.4941\n",
+      " and the parameters are [-2.65759242  3.63012839] -4.710575356427972 ;\n",
+      "Epoch 450/1000, Cost: 5.4053\n",
+      " and the parameters are [-2.65760083  3.63006617] -4.710651598234589 ;\n",
+      "Epoch 450/1000, Cost: 2.6334\n",
+      " and the parameters are [-2.65759491  3.63001615] -4.7107187544932705 ;\n",
+      "Epoch 450/1000, Cost: 4.3050\n",
+      " and the parameters are [-2.65763448  3.63008259] -4.710683542125601 ;\n",
+      "Epoch 450/1000, Cost: 7.9914\n",
+      " and the parameters are [-2.65763957  3.6301219 ] -4.710667888475093 ;\n",
+      "Epoch 450/1000, Cost: 2.8448\n",
+      " and the parameters are [-2.65764952  3.63013283] -4.710700145805943 ;\n",
+      "Epoch 450/1000, Cost: 4.5034\n",
+      " and the parameters are [-2.65775704  3.63006301] -4.710701913883623 ;\n",
+      "Epoch 450/1000, Cost: 4.7258\n",
+      " and the parameters are [-2.65778348  3.63006019] -4.710714920772961 ;\n",
+      "Epoch 450/1000, Cost: 0.6942\n",
+      " and the parameters are [-2.657789    3.63008652] -4.710716186857835 ;\n",
+      "Epoch 450/1000, Cost: 3.4251\n",
+      " and the parameters are [-2.65782775  3.63011726] -4.710709229609909 ;\n",
+      "Epoch 450/1000, Cost: 5.6923\n",
+      " and the parameters are [-2.65782445  3.63012601] -4.710724143314353 ;\n",
+      "Epoch 450/1000, Cost: 2.6669\n",
+      " and the parameters are [-2.65785862  3.63023162] -4.710658219820336 ;\n",
+      "Epoch 450/1000, Cost: 2.7865\n",
+      " and the parameters are [-2.65788033  3.63025075] -4.710667898019609 ;\n",
+      "Epoch 450/1000, Cost: 2.4883\n",
+      " and the parameters are [-2.65791653  3.63031269] -4.710632526230926 ;\n",
+      "Epoch 450/1000, Cost: 3.1145\n",
+      " and the parameters are [-2.65793445  3.6303384 ] -4.710641533832241 ;\n",
+      "Epoch 450/1000, Cost: 3.7405\n",
+      " and the parameters are [-2.6578749   3.63032071] -4.710716591488235 ;\n",
+      "Epoch 450/1000, Cost: 2.7549\n",
+      " and the parameters are [-2.65791223  3.63036018] -4.710689191094713 ;\n",
+      "Epoch 450/1000, Cost: 7.6175\n",
+      " and the parameters are [-2.65788015  3.63013308] -4.710882786100856 ;\n",
+      "Epoch 450/1000, Cost: 1.8680\n",
+      " and the parameters are [-2.65785789  3.63022532] -4.710858695702181 ;\n",
+      "Epoch 450/1000, Cost: 3.2004\n",
+      " and the parameters are [-2.6578963   3.63030449] -4.710824668346001 ;\n",
+      "Epoch 450/1000, Cost: 5.2350\n",
+      " and the parameters are [-2.65778067  3.63044306] -4.710788124091898 ;\n",
+      "Epoch 450/1000, Cost: 3.5671\n",
+      " and the parameters are [-2.6577874   3.63033465] -4.710890655585386 ;\n",
+      "Epoch 450/1000, Cost: 3.6264\n",
+      " and the parameters are [-2.65777739  3.63037927] -4.710900100632051 ;\n",
+      "Epoch 450/1000, Cost: 5.0985\n",
+      " and the parameters are [-2.65769192  3.6304502 ] -4.710900443031544 ;\n",
+      "Epoch 450/1000, Cost: 1.9550\n",
+      " and the parameters are [-2.6577404   3.63050299] -4.710859553051851 ;\n",
+      "Epoch 450/1000, Cost: 5.6077\n",
+      " and the parameters are [-2.65778872  3.6304669 ] -4.710857133805411 ;\n",
+      "Epoch 450/1000, Cost: 1.8446\n",
+      " and the parameters are [-2.65778207  3.63048476] -4.7108880514056475 ;\n",
+      "Epoch 450/1000, Cost: 4.2675\n",
+      " and the parameters are [-2.65781563  3.63039223] -4.710958524905834 ;\n",
+      "Epoch 450/1000, Cost: 2.6194\n",
+      " and the parameters are [-2.65776736  3.63046538] -4.7109693041538865 ;\n",
+      "Epoch 450/1000, Cost: 1.8336\n",
+      " and the parameters are [-2.65781495  3.63043681] -4.710996824724089 ;\n",
+      "Epoch 450/1000, Cost: 1.8915\n",
+      " and the parameters are [-2.65784593  3.63046843] -4.710994066005282 ;\n",
+      "Epoch 450/1000, Cost: 4.1420\n",
+      " and the parameters are [-2.657888    3.63046662] -4.7109930724115925 ;\n",
+      "Epoch 450/1000, Cost: 2.8830\n",
+      " and the parameters are [-2.65790206  3.63039348] -4.711079026805865 ;\n",
+      "Epoch 450/1000, Cost: 3.2400\n",
+      " and the parameters are [-2.65791395  3.63035985] -4.711132745122983 ;\n",
+      "Epoch 450/1000, Cost: 2.7256\n",
+      " and the parameters are [-2.65793335  3.6304089 ] -4.711096078181831 ;\n",
+      "Epoch 450/1000, Cost: 3.1810\n",
+      " and the parameters are [-2.65794397  3.63040307] -4.711132613400455 ;\n",
+      "Epoch 450/1000, Cost: 2.1893\n",
+      " and the parameters are [-2.65794682  3.6304746 ] -4.7111173588990125 ;\n",
+      "Epoch 450/1000, Cost: 3.7067\n",
+      " and the parameters are [-2.65804067  3.63051043] -4.7110740400274365 ;\n",
+      "Epoch 450/1000, Cost: 1.8554\n",
+      " and the parameters are [-2.6580448   3.63055817] -4.711070571626698 ;\n",
+      "Epoch 450/1000, Cost: 3.0703\n",
+      " and the parameters are [-2.658046    3.63053405] -4.71112074932479 ;\n",
+      "Epoch 450/1000, Cost: 2.0033\n",
+      " and the parameters are [-2.65802979  3.63053416] -4.711161579939874 ;\n",
+      "Epoch 450/1000, Cost: 2.9511\n",
+      " and the parameters are [-2.65797921  3.63053222] -4.711217387775778 ;\n",
+      "Epoch 450/1000, Cost: 3.3812\n",
+      " and the parameters are [-2.6579454   3.63059655] -4.711211988297951 ;\n",
+      "Epoch 450/1000, Cost: 4.2445\n",
+      " and the parameters are [-2.65795278  3.63071508] -4.711142189168294 ;\n",
+      "Epoch 450/1000, Cost: 2.4721\n",
+      " and the parameters are [-2.65794035  3.63073207] -4.7111648851662675 ;\n",
+      "Epoch 450/1000, Cost: 4.2734\n",
+      " and the parameters are [-2.65803779  3.63068391] -4.711160850355395 ;\n",
+      "Epoch 450/1000, Cost: 2.8448\n",
+      " and the parameters are [-2.65804398  3.63064938] -4.711215575921973 ;\n",
+      "Epoch 450/1000, Cost: 3.0403\n",
+      " and the parameters are [-2.65802941  3.63072883] -4.711200249592249 ;\n",
+      "Epoch 450/1000, Cost: 2.1454\n",
+      " and the parameters are [-2.65807065  3.63077865] -4.711175948337037 ;\n",
+      "Epoch 450/1000, Cost: 2.0680\n",
+      " and the parameters are [-2.6581116   3.63078407] -4.711172388000094 ;\n",
+      "Epoch 450/1000, Cost: 3.7900\n",
+      " and the parameters are [-2.6581307   3.63082889] -4.711145533179629 ;\n",
+      "Epoch 450/1000, Cost: 2.6180\n",
+      " and the parameters are [-2.65818214  3.63070729] -4.711245732715497 ;\n",
+      "Epoch 450/1000, Cost: 2.0648\n",
+      " and the parameters are [-2.65820182  3.6306925 ] -4.7112889870133685 ;\n",
+      "Epoch 450/1000, Cost: 2.6276\n",
+      " and the parameters are [-2.65827297  3.63064826] -4.7113122528053815 ;\n",
+      "Epoch 450/1000, Cost: 4.1060\n",
+      " and the parameters are [-2.6582563   3.63071714] -4.711306760448898 ;\n",
+      "Epoch 450/1000, Cost: 1.8391\n",
+      " and the parameters are [-2.65824729  3.6307396 ] -4.711328748766691 ;\n",
+      "Epoch 450/1000, Cost: 3.6141\n",
+      " and the parameters are [-2.65829955  3.63077556] -4.7113036201573975 ;\n",
+      "Epoch 450/1000, Cost: 3.6065\n",
+      " and the parameters are [-2.65824892  3.63091915] -4.71125721810777 ;\n",
+      "Epoch 450/1000, Cost: 4.3531\n",
+      " and the parameters are [-2.65821997  3.63082825] -4.711368235849213 ;\n",
+      "Epoch 450/1000, Cost: 3.9087\n",
+      " and the parameters are [-2.65825711  3.63078045] -4.711408835124999 ;\n",
+      "Epoch 450/1000, Cost: 1.0971\n",
+      " and the parameters are [-2.65824406  3.63082464] -4.711415975708963 ;\n",
+      "Epoch 450/1000, Cost: 3.4263\n",
+      " and the parameters are [-2.65824278  3.6308189 ] -4.711463065419327 ;\n",
+      "Epoch 450/1000, Cost: 2.7222\n",
+      " and the parameters are [-2.65820595  3.63086107] -4.711493157479671 ;\n",
+      "Epoch 450/1000, Cost: 3.2584\n",
+      " and the parameters are [-2.6581274   3.63088261] -4.711558314847848 ;\n",
+      "Epoch 450/1000, Cost: 3.0380\n",
+      " and the parameters are [-2.65806557  3.63094575] -4.711571960629491 ;\n",
+      "Epoch 450/1000, Cost: 3.8965\n",
+      " and the parameters are [-2.65815207  3.63093281] -4.711570628779087 ;\n",
+      "Epoch 450/1000, Cost: 3.1159\n",
+      " and the parameters are [-2.65816591  3.63100123] -4.711557420003068 ;\n",
+      "Epoch 450/1000, Cost: 4.0238\n",
+      " and the parameters are [-2.65817486  3.63104272] -4.711538625773064 ;\n",
+      "Epoch 450/1000, Cost: 3.1801\n",
+      " and the parameters are [-2.65818508  3.6310548 ] -4.7115425910963715 ;\n",
+      "Epoch 450/1000, Cost: 4.7171\n",
+      " and the parameters are [-2.65806573  3.63113906] -4.711554025255885 ;\n",
+      "Epoch 450/1000, Cost: 2.7450\n",
+      " and the parameters are [-2.65806512  3.63111507] -4.711597687967589 ;\n",
+      "Epoch 450/1000, Cost: 2.7648\n",
+      " and the parameters are [-2.65807609  3.63120593] -4.711542100055924 ;\n",
+      "Epoch 450/1000, Cost: 3.4517\n",
+      " and the parameters are [-2.65803334  3.63124106] -4.711584814917474 ;\n",
+      "Epoch 450/1000, Cost: 3.6364\n",
+      " and the parameters are [-2.65796916  3.6312571 ] -4.711629723018216 ;\n",
+      "Epoch 450/1000, Cost: 12.2081\n",
+      " and the parameters are [-2.65794649  3.63110582] -4.711710906015441 ;\n",
+      "Epoch 450/1000, Cost: 2.6804\n",
+      " and the parameters are [-2.6579309   3.63112803] -4.711749204354313 ;\n",
+      "Epoch 450/1000, Cost: 4.3054\n",
+      " and the parameters are [-2.65788131  3.63115472] -4.711793815986787 ;\n",
+      "Epoch 450/1000, Cost: 6.3574\n",
+      " and the parameters are [-2.65783755  3.63128312] -4.711714045018556 ;\n",
+      "Epoch 450/1000, Cost: 2.1934\n",
+      " and the parameters are [-2.65784202  3.63130519] -4.711731363696507 ;\n",
+      "Epoch 450/1000, Cost: 4.5935\n",
+      " and the parameters are [-2.65792093  3.63125531] -4.711749708908304 ;\n",
+      "Epoch 450/1000, Cost: 4.3444\n",
+      " and the parameters are [-2.65799842  3.63122152] -4.71176565460476 ;\n",
+      "Epoch 450/1000, Cost: 3.3882\n",
+      " and the parameters are [-2.65794752  3.6312413 ] -4.711796687036748 ;\n",
+      "Epoch 450/1000, Cost: 1.5157\n",
+      " and the parameters are [-2.65793332  3.63123502] -4.711834935764548 ;\n",
+      "Epoch 450/1000, Cost: 3.6063\n",
+      " and the parameters are [-2.65789859  3.63118881] -4.711917853392973 ;\n",
+      "Epoch 450/1000, Cost: 5.6925\n",
+      " and the parameters are [-2.65787193  3.63119987] -4.711957406756573 ;\n",
+      "Epoch 450/1000, Cost: 3.3238\n",
+      " and the parameters are [-2.65790562  3.63114177] -4.712032436821356 ;\n",
+      "Epoch 450/1000, Cost: 3.6131\n",
+      " and the parameters are [-2.65791246  3.63114157] -4.712053183244909 ;\n",
+      "Epoch 450/1000, Cost: 6.2911\n",
+      " and the parameters are [-2.65791447  3.63121471] -4.711983014654644 ;\n",
+      "Epoch 450/1000, Cost: 6.4715\n",
+      " and the parameters are [-2.65793456  3.63124837] -4.711938061177049 ;\n",
+      "Epoch 450/1000, Cost: 5.6641\n",
+      " and the parameters are [-2.65783867  3.6314792 ] -4.711864818936249 ;\n",
+      "Epoch 450/1000, Cost: 4.1558\n",
+      " and the parameters are [-2.65776961  3.63143904] -4.711970812073944 ;\n",
+      "Epoch 450/1000, Cost: 3.8951\n",
+      " and the parameters are [-2.65771245  3.63148705] -4.711994772833539 ;\n",
+      "Epoch 450/1000, Cost: 5.2806\n",
+      " and the parameters are [-2.65772255  3.63144999] -4.712025339622622 ;\n",
+      "Epoch 450/1000, Cost: 3.6308\n",
+      " and the parameters are [-2.65774787  3.63146487] -4.712032434864672 ;\n",
+      "Epoch 450/1000, Cost: 4.2926\n",
+      " and the parameters are [-2.65774969  3.63158467] -4.711971558585079 ;\n",
+      "Epoch 450/1000, Cost: 2.6529\n",
+      " and the parameters are [-2.65773788  3.63160728] -4.711986848041413 ;\n",
+      "Epoch 450/1000, Cost: 2.1903\n",
+      " and the parameters are [-2.65773434  3.63167585] -4.71197234265627 ;\n",
+      "Epoch 450/1000, Cost: 1.4528\n",
+      " and the parameters are [-2.65779148  3.63172696] -4.711931347258792 ;\n",
+      "Epoch 450/1000, Cost: 3.1949\n",
+      " and the parameters are [-2.65779011  3.63183373] -4.711881774312897 ;\n",
+      "Epoch 450/1000, Cost: 4.8763\n",
+      " and the parameters are [-2.65780219  3.63186199] -4.711858361672596 ;\n",
+      "Epoch 450/1000, Cost: 3.7384\n",
+      " and the parameters are [-2.65777177  3.63182905] -4.71193187002736 ;\n",
+      "Epoch 450/1000, Cost: 4.9831\n",
+      " and the parameters are [-2.65797177  3.63156148] -4.712041434510623 ;\n",
+      "Epoch 450/1000, Cost: 3.7174\n",
+      " and the parameters are [-2.65800146  3.63148841] -4.712122256242045 ;\n",
+      "Epoch 450/1000, Cost: 2.8308\n",
+      " and the parameters are [-2.65798007  3.63153495] -4.712142274785742 ;\n",
+      "Epoch 450/1000, Cost: 4.4757\n",
+      " and the parameters are [-2.65804132  3.63169789] -4.712007545348736 ;\n",
+      "Epoch 450/1000, Cost: 2.7328\n",
+      " and the parameters are [-2.65802514  3.63173401] -4.7120215459420125 ;\n",
+      "Epoch 450/1000, Cost: 2.9847\n",
+      " and the parameters are [-2.65810383  3.63166913] -4.7120572030168075 ;\n",
+      "Epoch 450/1000, Cost: 7.5662\n",
+      " and the parameters are [-2.65810101  3.63172917] -4.712004314995447 ;\n",
+      "Epoch 450/1000, Cost: 4.0542\n",
+      " and the parameters are [-2.65806075  3.63179947] -4.71200624423802 ;\n",
+      "Epoch 460/1000, Cost: 3.9961\n",
+      " and the parameters are [-2.67367595  3.65109185] -4.7397050895920065 ;\n",
+      "Epoch 460/1000, Cost: 5.0264\n",
+      " and the parameters are [-2.67364321  3.65104304] -4.739786970557489 ;\n",
+      "Epoch 460/1000, Cost: 1.1449\n",
+      " and the parameters are [-2.67367306  3.65102411] -4.739812104251111 ;\n",
+      "Epoch 460/1000, Cost: 2.1933\n",
+      " and the parameters are [-2.67369252  3.65104127] -4.739837084829923 ;\n",
+      "Epoch 460/1000, Cost: 4.0152\n",
+      " and the parameters are [-2.67368765  3.65108825] -4.7398312167643075 ;\n",
+      "Epoch 460/1000, Cost: 3.2953\n",
+      " and the parameters are [-2.67367467  3.65108456] -4.739886114000287 ;\n",
+      "Epoch 460/1000, Cost: 6.2619\n",
+      " and the parameters are [-2.67379336  3.65077713] -4.740054547793268 ;\n",
+      "Epoch 460/1000, Cost: 3.4149\n",
+      " and the parameters are [-2.67379427  3.65082047] -4.740041172232188 ;\n",
+      "Epoch 460/1000, Cost: 4.1838\n",
+      " and the parameters are [-2.67387141  3.65078729] -4.740047949792472 ;\n",
+      "Epoch 460/1000, Cost: 6.1187\n",
+      " and the parameters are [-2.67381718  3.65082657] -4.740061362506018 ;\n",
+      "Epoch 460/1000, Cost: 3.5938\n",
+      " and the parameters are [-2.67384291  3.6508988 ] -4.740035074683952 ;\n",
+      "Epoch 460/1000, Cost: 4.7696\n",
+      " and the parameters are [-2.67391528  3.65083344] -4.740053730408209 ;\n",
+      "Epoch 460/1000, Cost: 3.3979\n",
+      " and the parameters are [-2.67392971  3.65080766] -4.740100773052695 ;\n",
+      "Epoch 460/1000, Cost: 4.4237\n",
+      " and the parameters are [-2.67390752  3.65075923] -4.740156206502833 ;\n",
+      "Epoch 460/1000, Cost: 7.2127\n",
+      " and the parameters are [-2.67398464  3.6506507 ] -4.740215481253788 ;\n",
+      "Epoch 460/1000, Cost: 4.4356\n",
+      " and the parameters are [-2.67403372  3.65060366] -4.7402626579364515 ;\n",
+      "Epoch 460/1000, Cost: 3.5903\n",
+      " and the parameters are [-2.67403213  3.65052193] -4.740340326413108 ;\n",
+      "Epoch 460/1000, Cost: 1.7199\n",
+      " and the parameters are [-2.67401164  3.65051657] -4.74038789469839 ;\n",
+      "Epoch 460/1000, Cost: 3.5905\n",
+      " and the parameters are [-2.67406375  3.65040594] -4.740466980180145 ;\n",
+      "Epoch 460/1000, Cost: 4.4192\n",
+      " and the parameters are [-2.67406826  3.65042454] -4.740471539067354 ;\n",
+      "Epoch 460/1000, Cost: 5.0687\n",
+      " and the parameters are [-2.6740299   3.65048085] -4.740497952303748 ;\n",
+      "Epoch 460/1000, Cost: 6.6370\n",
+      " and the parameters are [-2.67406819  3.65032172] -4.740608321923851 ;\n",
+      "Epoch 460/1000, Cost: 3.5123\n",
+      " and the parameters are [-2.67399982  3.65048154] -4.740556977383688 ;\n",
+      "Epoch 460/1000, Cost: 2.0829\n",
+      " and the parameters are [-2.67398237  3.65057678] -4.740538389380702 ;\n",
+      "Epoch 460/1000, Cost: 3.1791\n",
+      " and the parameters are [-2.67399858  3.65058247] -4.7405615784474735 ;\n",
+      "Epoch 460/1000, Cost: 1.9406\n",
+      " and the parameters are [-2.67394486  3.6506934 ] -4.740544192300229 ;\n",
+      "Epoch 460/1000, Cost: 3.4182\n",
+      " and the parameters are [-2.67399936  3.65066039] -4.740560460697272 ;\n",
+      "Epoch 460/1000, Cost: 2.0140\n",
+      " and the parameters are [-2.67404326  3.65067579] -4.740552063169 ;\n",
+      "Epoch 460/1000, Cost: 5.7006\n",
+      " and the parameters are [-2.67404904  3.65049662] -4.740703331637557 ;\n",
+      "Epoch 460/1000, Cost: 2.3359\n",
+      " and the parameters are [-2.67404457  3.65054086] -4.740707793440469 ;\n",
+      "Epoch 460/1000, Cost: 2.1051\n",
+      " and the parameters are [-2.67408367  3.65058633] -4.740682087384054 ;\n",
+      "Epoch 460/1000, Cost: 3.0433\n",
+      " and the parameters are [-2.67408621  3.65058812] -4.740717044918744 ;\n",
+      "Epoch 460/1000, Cost: 3.6721\n",
+      " and the parameters are [-2.67411393  3.65054629] -4.740755583880866 ;\n",
+      "Epoch 460/1000, Cost: 1.6137\n",
+      " and the parameters are [-2.6741121   3.65059766] -4.740744590111679 ;\n",
+      "Epoch 460/1000, Cost: 3.2467\n",
+      " and the parameters are [-2.67415842  3.65063514] -4.740718510950323 ;\n",
+      "Epoch 460/1000, Cost: 1.6523\n",
+      " and the parameters are [-2.67417438  3.6506824 ] -4.740711291318726 ;\n",
+      "Epoch 460/1000, Cost: 2.3154\n",
+      " and the parameters are [-2.67416499  3.65067794] -4.740752166391666 ;\n",
+      "Epoch 460/1000, Cost: 0.9953\n",
+      " and the parameters are [-2.67417554  3.65073021] -4.740734105728508 ;\n",
+      "Epoch 460/1000, Cost: 5.1420\n",
+      " and the parameters are [-2.67422116  3.65068421] -4.740777384934713 ;\n",
+      "Epoch 460/1000, Cost: 1.5694\n",
+      " and the parameters are [-2.67425667  3.65062749] -4.740819635089888 ;\n",
+      "Epoch 460/1000, Cost: 5.8963\n",
+      " and the parameters are [-2.67413543  3.65054731] -4.7409513011308775 ;\n",
+      "Epoch 460/1000, Cost: 4.2799\n",
+      " and the parameters are [-2.67411465  3.65063852] -4.740904529205827 ;\n",
+      "Epoch 460/1000, Cost: 6.0913\n",
+      " and the parameters are [-2.67412659  3.65051382] -4.7410001509255615 ;\n",
+      "Epoch 460/1000, Cost: 4.0209\n",
+      " and the parameters are [-2.67415916  3.65046714] -4.741052725872193 ;\n",
+      "Epoch 460/1000, Cost: 3.9913\n",
+      " and the parameters are [-2.67420576  3.65038588] -4.741124363474745 ;\n",
+      "Epoch 460/1000, Cost: 2.9867\n",
+      " and the parameters are [-2.67409508  3.6503857 ] -4.741215441074045 ;\n",
+      "Epoch 460/1000, Cost: 7.2627\n",
+      " and the parameters are [-2.67412202  3.65036363] -4.741212435962389 ;\n",
+      "Epoch 460/1000, Cost: 1.3687\n",
+      " and the parameters are [-2.67410634  3.65040614] -4.741219190433814 ;\n",
+      "Epoch 460/1000, Cost: 3.6354\n",
+      " and the parameters are [-2.67405524  3.65042035] -4.741272329438621 ;\n",
+      "Epoch 460/1000, Cost: 5.0855\n",
+      " and the parameters are [-2.67411569  3.65037193] -4.74130260901826 ;\n",
+      "Epoch 460/1000, Cost: 2.2334\n",
+      " and the parameters are [-2.67416512  3.65041555] -4.741261579321551 ;\n",
+      "Epoch 460/1000, Cost: 1.9029\n",
+      " and the parameters are [-2.674154   3.6504192] -4.7413084446762745 ;\n",
+      "Epoch 460/1000, Cost: 2.8868\n",
+      " and the parameters are [-2.67416637  3.65052582] -4.741255251492824 ;\n",
+      "Epoch 460/1000, Cost: 4.1188\n",
+      " and the parameters are [-2.67417188  3.65046472] -4.741338781183083 ;\n",
+      "Epoch 460/1000, Cost: 4.9948\n",
+      " and the parameters are [-2.67417893  3.65056487] -4.741268911899863 ;\n",
+      "Epoch 460/1000, Cost: 5.2362\n",
+      " and the parameters are [-2.67425056  3.65044826] -4.741332805513663 ;\n",
+      "Epoch 460/1000, Cost: 2.7431\n",
+      " and the parameters are [-2.67431912  3.65047434] -4.741314095271659 ;\n",
+      "Epoch 460/1000, Cost: 1.3858\n",
+      " and the parameters are [-2.67438103  3.65040557] -4.741356926270365 ;\n",
+      "Epoch 460/1000, Cost: 2.2687\n",
+      " and the parameters are [-2.67437582  3.65046617] -4.741348803660087 ;\n",
+      "Epoch 460/1000, Cost: 1.7418\n",
+      " and the parameters are [-2.67443834  3.65039511] -4.741400620177657 ;\n",
+      "Epoch 460/1000, Cost: 3.1048\n",
+      " and the parameters are [-2.67439325  3.65040894] -4.74145729611869 ;\n",
+      "Epoch 460/1000, Cost: 2.8301\n",
+      " and the parameters are [-2.67438441  3.65038879] -4.741506523544744 ;\n",
+      "Epoch 460/1000, Cost: 4.4082\n",
+      " and the parameters are [-2.67446396  3.65027083] -4.741581912880104 ;\n",
+      "Epoch 460/1000, Cost: 1.8937\n",
+      " and the parameters are [-2.67452894  3.65020993] -4.741622431543369 ;\n",
+      "Epoch 460/1000, Cost: 4.8298\n",
+      " and the parameters are [-2.67446388  3.65029774] -4.741594267793626 ;\n",
+      "Epoch 460/1000, Cost: 6.5239\n",
+      " and the parameters are [-2.67451766  3.65013104] -4.74171494963847 ;\n",
+      "Epoch 460/1000, Cost: 2.9155\n",
+      " and the parameters are [-2.6745352   3.65019103] -4.741682985783907 ;\n",
+      "Epoch 460/1000, Cost: 3.6172\n",
+      " and the parameters are [-2.67459701  3.65015417] -4.741707885634699 ;\n",
+      "Epoch 460/1000, Cost: 3.4412\n",
+      " and the parameters are [-2.67459155  3.65012597] -4.741757053493975 ;\n",
+      "Epoch 460/1000, Cost: 4.4787\n",
+      " and the parameters are [-2.67462891  3.65013722] -4.741749949730897 ;\n",
+      "Epoch 460/1000, Cost: 2.2465\n",
+      " and the parameters are [-2.67464489  3.6501819 ] -4.741749298444139 ;\n",
+      "Epoch 460/1000, Cost: 4.1267\n",
+      " and the parameters are [-2.6745407   3.65030786] -4.7417523173265375 ;\n",
+      "Epoch 460/1000, Cost: 6.3062\n",
+      " and the parameters are [-2.67446345  3.65036993] -4.741742489203728 ;\n",
+      "Epoch 460/1000, Cost: 2.8853\n",
+      " and the parameters are [-2.67445082  3.65047553] -4.741708570668774 ;\n",
+      "Epoch 460/1000, Cost: 5.1234\n",
+      " and the parameters are [-2.6745279   3.65053038] -4.74163510214205 ;\n",
+      "Epoch 460/1000, Cost: 2.6436\n",
+      " and the parameters are [-2.67457041  3.6505118 ] -4.741659428874086 ;\n",
+      "Epoch 460/1000, Cost: 2.4598\n",
+      " and the parameters are [-2.67458338  3.650522  ] -4.741680738881582 ;\n",
+      "Epoch 460/1000, Cost: 4.9907\n",
+      " and the parameters are [-2.6745087   3.65061429] -4.741668864289271 ;\n",
+      "Epoch 460/1000, Cost: 4.5789\n",
+      " and the parameters are [-2.67455506  3.65061991] -4.741651348835486 ;\n",
+      "Epoch 460/1000, Cost: 3.1207\n",
+      " and the parameters are [-2.67446802  3.65069544] -4.741679823679565 ;\n",
+      "Epoch 460/1000, Cost: 4.3396\n",
+      " and the parameters are [-2.67446285  3.65063555] -4.741759687463007 ;\n",
+      "Epoch 460/1000, Cost: 4.2322\n",
+      " and the parameters are [-2.67443226  3.65064081] -4.741794691234122 ;\n",
+      "Epoch 460/1000, Cost: 3.3444\n",
+      " and the parameters are [-2.67450096  3.65061274] -4.7418101202568 ;\n",
+      "Epoch 460/1000, Cost: 2.9756\n",
+      " and the parameters are [-2.67449325  3.65065702] -4.74181687295845 ;\n",
+      "Epoch 460/1000, Cost: 4.5979\n",
+      " and the parameters are [-2.67447219  3.65076292] -4.741760282960846 ;\n",
+      "Epoch 460/1000, Cost: 2.4095\n",
+      " and the parameters are [-2.67457459  3.65079787] -4.7417058669372505 ;\n",
+      "Epoch 460/1000, Cost: 4.7726\n",
+      " and the parameters are [-2.67467605  3.65063283] -4.741818413745101 ;\n",
+      "Epoch 460/1000, Cost: 2.2381\n",
+      " and the parameters are [-2.67467928  3.65060546] -4.741866560991407 ;\n",
+      "Epoch 460/1000, Cost: 3.5012\n",
+      " and the parameters are [-2.67468501  3.65071618] -4.7418328040504605 ;\n",
+      "Epoch 460/1000, Cost: 3.2393\n",
+      " and the parameters are [-2.67463988  3.65085342] -4.741793324377596 ;\n",
+      "Epoch 460/1000, Cost: 2.2777\n",
+      " and the parameters are [-2.67462117  3.65090028] -4.741798469243766 ;\n",
+      "Epoch 460/1000, Cost: 3.8979\n",
+      " and the parameters are [-2.67465309  3.65101133] -4.741730620482667 ;\n",
+      "Epoch 460/1000, Cost: 3.3506\n",
+      " and the parameters are [-2.67460278  3.65105258] -4.741763706288282 ;\n",
+      "Epoch 460/1000, Cost: 3.3816\n",
+      " and the parameters are [-2.67457898  3.65119408] -4.741702064128917 ;\n",
+      "Epoch 460/1000, Cost: 0.7096\n",
+      " and the parameters are [-2.67458465  3.65121503] -4.741703492141593 ;\n",
+      "Epoch 460/1000, Cost: 3.9566\n",
+      " and the parameters are [-2.67453536  3.65135068] -4.741650464203665 ;\n",
+      "Epoch 460/1000, Cost: 2.4103\n",
+      " and the parameters are [-2.6745724   3.65133313] -4.7416711979183175 ;\n",
+      "Epoch 460/1000, Cost: 8.7987\n",
+      " and the parameters are [-2.67452229  3.65136158] -4.741658181509281 ;\n",
+      "Epoch 460/1000, Cost: 1.9190\n",
+      " and the parameters are [-2.67455314  3.65132274] -4.741700855870665 ;\n",
+      "Epoch 460/1000, Cost: 1.1599\n",
+      " and the parameters are [-2.67454844  3.65137043] -4.74169427298123 ;\n",
+      "Epoch 460/1000, Cost: 1.5160\n",
+      " and the parameters are [-2.67454722  3.65139477] -4.7417041429684685 ;\n",
+      "Epoch 460/1000, Cost: 5.1621\n",
+      " and the parameters are [-2.67453619  3.65144754] -4.74170418590293 ;\n",
+      "Epoch 460/1000, Cost: 2.6654\n",
+      " and the parameters are [-2.67455624  3.65149914] -4.741692201790959 ;\n",
+      "Epoch 460/1000, Cost: 2.9551\n",
+      " and the parameters are [-2.67456122  3.65140928] -4.741789318847299 ;\n",
+      "Epoch 460/1000, Cost: 2.1595\n",
+      " and the parameters are [-2.67452828  3.65140543] -4.741848350050526 ;\n",
+      "Epoch 460/1000, Cost: 2.7644\n",
+      " and the parameters are [-2.67453303  3.65137582] -4.741903100581147 ;\n",
+      "Epoch 460/1000, Cost: 2.5474\n",
+      " and the parameters are [-2.67451829  3.65139929] -4.741927786875555 ;\n",
+      "Epoch 460/1000, Cost: 2.0583\n",
+      " and the parameters are [-2.67456728  3.65139008] -4.7419369735190555 ;\n",
+      "Epoch 460/1000, Cost: 2.9633\n",
+      " and the parameters are [-2.6745817   3.65142322] -4.7419334358913945 ;\n",
+      "Epoch 460/1000, Cost: 1.5485\n",
+      " and the parameters are [-2.67456003  3.65151992] -4.741906530579803 ;\n",
+      "Epoch 460/1000, Cost: 1.2898\n",
+      " and the parameters are [-2.67454039  3.65152872] -4.741943612082989 ;\n",
+      "Epoch 460/1000, Cost: 1.9266\n",
+      " and the parameters are [-2.67457046  3.65151929] -4.741965613808979 ;\n",
+      "Epoch 460/1000, Cost: 7.4212\n",
+      " and the parameters are [-2.67467016  3.6514549 ] -4.741963781416442 ;\n",
+      "Epoch 460/1000, Cost: 1.4240\n",
+      " and the parameters are [-2.67464443  3.65152917] -4.741951739655091 ;\n",
+      "Epoch 460/1000, Cost: 4.4094\n",
+      " and the parameters are [-2.6747014   3.65156937] -4.741921137084287 ;\n",
+      "Epoch 460/1000, Cost: 2.3702\n",
+      " and the parameters are [-2.67470016  3.65166684] -4.741877282136276 ;\n",
+      "Epoch 460/1000, Cost: 2.7694\n",
+      " and the parameters are [-2.67470886  3.65180263] -4.741804204812484 ;\n",
+      "Epoch 460/1000, Cost: 2.4124\n",
+      " and the parameters are [-2.6746983   3.65182747] -4.741815172550263 ;\n",
+      "Epoch 460/1000, Cost: 1.6224\n",
+      " and the parameters are [-2.67467315  3.65187274] -4.741828957498485 ;\n",
+      "Epoch 460/1000, Cost: 2.1423\n",
+      " and the parameters are [-2.67466849  3.65180597] -4.741912718430195 ;\n",
+      "Epoch 460/1000, Cost: 3.9134\n",
+      " and the parameters are [-2.67463361  3.65192958] -4.741871900203034 ;\n",
+      "Epoch 460/1000, Cost: 7.6288\n",
+      " and the parameters are [-2.67452768  3.65212444] -4.741783529022754 ;\n",
+      "Epoch 460/1000, Cost: 1.1453\n",
+      " and the parameters are [-2.67449692  3.65220647] -4.741766358795967 ;\n",
+      "Epoch 460/1000, Cost: 2.2378\n",
+      " and the parameters are [-2.67449815  3.65227109] -4.741749558170431 ;\n",
+      "Epoch 460/1000, Cost: 1.7766\n",
+      " and the parameters are [-2.67454908  3.65227191] -4.741756182256345 ;\n",
+      "Epoch 460/1000, Cost: 1.0459\n",
+      " and the parameters are [-2.67455344  3.65232393] -4.741743904948175 ;\n",
+      "Epoch 460/1000, Cost: 1.6448\n",
+      " and the parameters are [-2.67452848  3.65239617] -4.741740886878903 ;\n",
+      "Epoch 460/1000, Cost: 3.1011\n",
+      " and the parameters are [-2.6744722   3.65248289] -4.741741419345768 ;\n",
+      "Epoch 460/1000, Cost: 2.5218\n",
+      " and the parameters are [-2.67446735  3.65255843] -4.741719503719112 ;\n",
+      "Epoch 460/1000, Cost: 1.4354\n",
+      " and the parameters are [-2.67447997  3.65260642] -4.741699034596611 ;\n",
+      "Epoch 460/1000, Cost: 4.1526\n",
+      " and the parameters are [-2.67442807  3.6527    ] -4.741696455708795 ;\n",
+      "Epoch 460/1000, Cost: 5.3866\n",
+      " and the parameters are [-2.67438503  3.65272489] -4.741712753517373 ;\n",
+      "Epoch 460/1000, Cost: 4.7231\n",
+      " and the parameters are [-2.67442041  3.65275325] -4.741691601238603 ;\n",
+      "Epoch 460/1000, Cost: 5.3807\n",
+      " and the parameters are [-2.67444077  3.65279681] -4.7416555598460794 ;\n",
+      "Epoch 460/1000, Cost: 2.9627\n",
+      " and the parameters are [-2.67448233  3.65278121] -4.741670648612717 ;\n",
+      "Epoch 460/1000, Cost: 2.0199\n",
+      " and the parameters are [-2.67441797  3.65288782] -4.74166041470498 ;\n",
+      "Epoch 460/1000, Cost: 2.6087\n",
+      " and the parameters are [-2.67441079  3.65287173] -4.741716166968108 ;\n",
+      "Epoch 460/1000, Cost: 2.3998\n",
+      " and the parameters are [-2.67442355  3.65286595] -4.74175332149246 ;\n",
+      "Epoch 460/1000, Cost: 4.6934\n",
+      " and the parameters are [-2.67444678  3.65287147] -4.741767264257627 ;\n",
+      "Epoch 460/1000, Cost: 2.8531\n",
+      " and the parameters are [-2.67446969  3.65282227] -4.741825828327336 ;\n",
+      "Epoch 460/1000, Cost: 4.5487\n",
+      " and the parameters are [-2.67454989  3.65271364] -4.741880790765482 ;\n",
+      "Epoch 460/1000, Cost: 2.2316\n",
+      " and the parameters are [-2.6745034   3.65274251] -4.741916978524287 ;\n",
+      "Epoch 460/1000, Cost: 4.6816\n",
+      " and the parameters are [-2.67456789  3.65259732] -4.742014018494265 ;\n",
+      "Epoch 460/1000, Cost: 4.5009\n",
+      " and the parameters are [-2.67452002  3.65254462] -4.742083085139797 ;\n",
+      "Epoch 460/1000, Cost: 4.1365\n",
+      " and the parameters are [-2.67449869  3.6524565 ] -4.742175402641178 ;\n",
+      "Epoch 460/1000, Cost: 3.4759\n",
+      " and the parameters are [-2.67452715  3.65249959] -4.742159879609383 ;\n",
+      "Epoch 460/1000, Cost: 1.8978\n",
+      " and the parameters are [-2.67450887  3.65260738] -4.742119834302707 ;\n",
+      "Epoch 460/1000, Cost: 3.8955\n",
+      " and the parameters are [-2.67453503  3.652496  ] -4.7421919925584985 ;\n",
+      "Epoch 460/1000, Cost: 3.0342\n",
+      " and the parameters are [-2.67458385  3.65255178] -4.742154669033733 ;\n",
+      "Epoch 460/1000, Cost: 1.8399\n",
+      " and the parameters are [-2.67456541  3.65261958] -4.7421566467522664 ;\n",
+      "Epoch 460/1000, Cost: 4.4297\n",
+      " and the parameters are [-2.67453982  3.6526485 ] -4.742184048345499 ;\n",
+      "Epoch 460/1000, Cost: 4.3107\n",
+      " and the parameters are [-2.67466028  3.65258722] -4.742180841667954 ;\n",
+      "Epoch 460/1000, Cost: 3.7681\n",
+      " and the parameters are [-2.67469256  3.65245338] -4.742293366204185 ;\n",
+      "Epoch 460/1000, Cost: 3.3265\n",
+      " and the parameters are [-2.67476012  3.65231647] -4.7423879896487176 ;\n",
+      "Epoch 460/1000, Cost: 1.9722\n",
+      " and the parameters are [-2.67475406  3.65235955] -4.742384752081619 ;\n",
+      "Epoch 460/1000, Cost: 2.8778\n",
+      " and the parameters are [-2.67478881  3.65237908] -4.742368946290422 ;\n",
+      "Epoch 460/1000, Cost: 2.7662\n",
+      " and the parameters are [-2.67483627  3.65234802] -4.7423928059157925 ;\n",
+      "Epoch 460/1000, Cost: 3.9867\n",
+      " and the parameters are [-2.67483375  3.65233019] -4.742433470801452 ;\n",
+      "Epoch 460/1000, Cost: 2.9414\n",
+      " and the parameters are [-2.67486607  3.65232838] -4.742458263550066 ;\n",
+      "Epoch 460/1000, Cost: 4.8285\n",
+      " and the parameters are [-2.67488213  3.65232854] -4.742473369140717 ;\n",
+      "Epoch 460/1000, Cost: 5.6664\n",
+      " and the parameters are [-2.6749644   3.65243949] -4.7423772852247295 ;\n",
+      "Epoch 460/1000, Cost: 6.3512\n",
+      " and the parameters are [-2.67492547  3.65249604] -4.742362776364262 ;\n",
+      "Epoch 460/1000, Cost: 2.7329\n",
+      " and the parameters are [-2.67495648  3.65250311] -4.742388073507082 ;\n",
+      "Epoch 460/1000, Cost: 2.5817\n",
+      " and the parameters are [-2.67498218  3.65252469] -4.742398144607422 ;\n",
+      "Epoch 460/1000, Cost: 3.0073\n",
+      " and the parameters are [-2.67498207  3.65258727] -4.7423781124274615 ;\n",
+      "Epoch 460/1000, Cost: 1.8039\n",
+      " and the parameters are [-2.67501589  3.65260257] -4.742388353278994 ;\n",
+      "Epoch 460/1000, Cost: 2.1934\n",
+      " and the parameters are [-2.67500694  3.6526912 ] -4.742361753871392 ;\n",
+      "Epoch 460/1000, Cost: 1.8580\n",
+      " and the parameters are [-2.67500519  3.65270843] -4.742384994537747 ;\n",
+      "Epoch 460/1000, Cost: 2.0429\n",
+      " and the parameters are [-2.67500921  3.6527305 ] -4.742399831678382 ;\n",
+      "Epoch 460/1000, Cost: 4.0237\n",
+      " and the parameters are [-2.67507716  3.65259608] -4.742503750091502 ;\n",
+      "Epoch 460/1000, Cost: 2.7706\n",
+      " and the parameters are [-2.67509516  3.6525881 ] -4.742541856296874 ;\n",
+      "Epoch 460/1000, Cost: 4.1171\n",
+      " and the parameters are [-2.67515043  3.65260808] -4.742505273184743 ;\n",
+      "Epoch 460/1000, Cost: 8.1778\n",
+      " and the parameters are [-2.67525571  3.65255935] -4.742470667636607 ;\n",
+      "Epoch 460/1000, Cost: 4.5085\n",
+      " and the parameters are [-2.6752123   3.65269643] -4.742413373650929 ;\n",
+      "Epoch 460/1000, Cost: 2.9224\n",
+      " and the parameters are [-2.67520963  3.65275863] -4.742404276738842 ;\n",
+      "Epoch 460/1000, Cost: 2.3979\n",
+      " and the parameters are [-2.67521839  3.65272987] -4.742452695241092 ;\n",
+      "Epoch 460/1000, Cost: 2.5185\n",
+      " and the parameters are [-2.67520213  3.65275795] -4.742471414429681 ;\n",
+      "Epoch 460/1000, Cost: 1.8448\n",
+      " and the parameters are [-2.67521     3.65276594] -4.7425013189358145 ;\n",
+      "Epoch 460/1000, Cost: 3.7566\n",
+      " and the parameters are [-2.67525964  3.65278594] -4.742494634569706 ;\n",
+      "Epoch 460/1000, Cost: 1.5810\n",
+      " and the parameters are [-2.6752899   3.65276609] -4.742530096810264 ;\n",
+      "Epoch 460/1000, Cost: 1.2865\n",
+      " and the parameters are [-2.67528099  3.65286896] -4.7424866655379665 ;\n",
+      "Epoch 460/1000, Cost: 4.2907\n",
+      " and the parameters are [-2.67527383  3.65290349] -4.742487071635048 ;\n",
+      "Epoch 460/1000, Cost: 2.5254\n",
+      " and the parameters are [-2.67525481  3.6529423 ] -4.742496131296718 ;\n",
+      "Epoch 460/1000, Cost: 2.9266\n",
+      " and the parameters are [-2.67524086  3.65297749] -4.742525318990241 ;\n",
+      "Epoch 460/1000, Cost: 2.2505\n",
+      " and the parameters are [-2.67522979  3.65296671] -4.7425692805415585 ;\n",
+      "Epoch 460/1000, Cost: 3.6276\n",
+      " and the parameters are [-2.67521317  3.65292642] -4.7426214837016465 ;\n",
+      "Epoch 460/1000, Cost: 2.0869\n",
+      " and the parameters are [-2.67521777  3.65291165] -4.742668220848745 ;\n",
+      "Epoch 460/1000, Cost: 5.8339\n",
+      " and the parameters are [-2.67534199  3.65271007] -4.742765722824479 ;\n",
+      "Epoch 460/1000, Cost: 3.8235\n",
+      " and the parameters are [-2.67539951  3.65277193] -4.742710669731858 ;\n",
+      "Epoch 460/1000, Cost: 4.6410\n",
+      " and the parameters are [-2.67543678  3.65273711] -4.742771952457206 ;\n",
+      "Epoch 460/1000, Cost: 4.5023\n",
+      " and the parameters are [-2.6755232   3.65259721] -4.742846479240047 ;\n",
+      "Epoch 460/1000, Cost: 1.0221\n",
+      " and the parameters are [-2.6755313   3.65264525] -4.742833618665752 ;\n",
+      "Epoch 460/1000, Cost: 0.9812\n",
+      " and the parameters are [-2.67550823  3.65269466] -4.7428357398542715 ;\n",
+      "Epoch 460/1000, Cost: 2.8800\n",
+      " and the parameters are [-2.67544933  3.65275159] -4.7428556134849815 ;\n",
+      "Epoch 460/1000, Cost: 3.8514\n",
+      " and the parameters are [-2.67539585  3.65289364] -4.7428102652665105 ;\n",
+      "Epoch 460/1000, Cost: 3.0341\n",
+      " and the parameters are [-2.67544091  3.6528788 ] -4.742839510061375 ;\n",
+      "Epoch 460/1000, Cost: 2.4715\n",
+      " and the parameters are [-2.67547072  3.65296305] -4.742795792678915 ;\n",
+      "Epoch 460/1000, Cost: 5.5367\n",
+      " and the parameters are [-2.67543228  3.65307018] -4.74275238958366 ;\n",
+      "Epoch 460/1000, Cost: 2.6174\n",
+      " and the parameters are [-2.67545415  3.6530132 ] -4.742820155522264 ;\n",
+      "Epoch 460/1000, Cost: 4.2274\n",
+      " and the parameters are [-2.67534168  3.65320089] -4.74276888352429 ;\n",
+      "Epoch 470/1000, Cost: 1.9837\n",
+      " and the parameters are [-2.69059734  3.67216675] -4.769905582263561 ;\n",
+      "Epoch 470/1000, Cost: 3.2779\n",
+      " and the parameters are [-2.69066069  3.67219495] -4.769895929951553 ;\n",
+      "Epoch 470/1000, Cost: 3.7500\n",
+      " and the parameters are [-2.69063636  3.67230529] -4.769842392821299 ;\n",
+      "Epoch 470/1000, Cost: 3.1807\n",
+      " and the parameters are [-2.69071391  3.67234076] -4.769812441068314 ;\n",
+      "Epoch 470/1000, Cost: 4.4580\n",
+      " and the parameters are [-2.69062688  3.67237913] -4.769841624828739 ;\n",
+      "Epoch 470/1000, Cost: 4.1817\n",
+      " and the parameters are [-2.69060904  3.67241545] -4.769862237497534 ;\n",
+      "Epoch 470/1000, Cost: 3.2576\n",
+      " and the parameters are [-2.69058519  3.67250238] -4.7698440719927655 ;\n",
+      "Epoch 470/1000, Cost: 2.1623\n",
+      " and the parameters are [-2.69057785  3.67250227] -4.76988110877211 ;\n",
+      "Epoch 470/1000, Cost: 3.7839\n",
+      " and the parameters are [-2.6905691   3.67241403] -4.769971740604037 ;\n",
+      "Epoch 470/1000, Cost: 2.8562\n",
+      " and the parameters are [-2.69062138  3.6724335 ] -4.769962372522619 ;\n",
+      "Epoch 470/1000, Cost: 2.7145\n",
+      " and the parameters are [-2.69066241  3.67250854] -4.769915959344688 ;\n",
+      "Epoch 470/1000, Cost: 4.6927\n",
+      " and the parameters are [-2.6907805  3.6723438] -4.770003661863191 ;\n",
+      "Epoch 470/1000, Cost: 3.4024\n",
+      " and the parameters are [-2.69082592  3.67234456] -4.770003782750907 ;\n",
+      "Epoch 470/1000, Cost: 1.9184\n",
+      " and the parameters are [-2.69081642  3.67233855] -4.770042377135156 ;\n",
+      "Epoch 470/1000, Cost: 5.2161\n",
+      " and the parameters are [-2.69086088  3.67226972] -4.770084620043858 ;\n",
+      "Epoch 470/1000, Cost: 2.9363\n",
+      " and the parameters are [-2.69091928  3.67233543] -4.7700444303160525 ;\n",
+      "Epoch 470/1000, Cost: 2.4626\n",
+      " and the parameters are [-2.69085381  3.6724691 ] -4.770009213725565 ;\n",
+      "Epoch 470/1000, Cost: 3.0638\n",
+      " and the parameters are [-2.69084304  3.67255836] -4.769984317431512 ;\n",
+      "Epoch 470/1000, Cost: 7.5427\n",
+      " and the parameters are [-2.69092136  3.67230777] -4.770136157561115 ;\n",
+      "Epoch 470/1000, Cost: 3.8492\n",
+      " and the parameters are [-2.69086183  3.67230878] -4.770192249933503 ;\n",
+      "Epoch 470/1000, Cost: 1.8210\n",
+      " and the parameters are [-2.69079797  3.67244001] -4.770145405242187 ;\n",
+      "Epoch 470/1000, Cost: 1.8165\n",
+      " and the parameters are [-2.69080216  3.67249186] -4.770138922760913 ;\n",
+      "Epoch 470/1000, Cost: 2.6350\n",
+      " and the parameters are [-2.6908548   3.67238728] -4.770223448944467 ;\n",
+      "Epoch 470/1000, Cost: 4.6499\n",
+      " and the parameters are [-2.69089403  3.67243607] -4.770171214402514 ;\n",
+      "Epoch 470/1000, Cost: 1.9449\n",
+      " and the parameters are [-2.69089321  3.67249018] -4.770170910045635 ;\n",
+      "Epoch 470/1000, Cost: 2.5363\n",
+      " and the parameters are [-2.69084381  3.67261598] -4.770133762197228 ;\n",
+      "Epoch 470/1000, Cost: 3.8697\n",
+      " and the parameters are [-2.69083117  3.67262258] -4.770158355547779 ;\n",
+      "Epoch 470/1000, Cost: 1.9479\n",
+      " and the parameters are [-2.69081506  3.67267798] -4.770152666209545 ;\n",
+      "Epoch 470/1000, Cost: 2.9634\n",
+      " and the parameters are [-2.69073543  3.67265024] -4.770237827957011 ;\n",
+      "Epoch 470/1000, Cost: 4.5305\n",
+      " and the parameters are [-2.69085084  3.67251921] -4.770290353314174 ;\n",
+      "Epoch 470/1000, Cost: 2.1852\n",
+      " and the parameters are [-2.69083315  3.67261396] -4.770256168350039 ;\n",
+      "Epoch 470/1000, Cost: 5.1012\n",
+      " and the parameters are [-2.69087247  3.67247486] -4.770345466029128 ;\n",
+      "Epoch 470/1000, Cost: 1.6962\n",
+      " and the parameters are [-2.69086879  3.67253477] -4.7703286459490295 ;\n",
+      "Epoch 470/1000, Cost: 2.0601\n",
+      " and the parameters are [-2.69091911  3.67246816] -4.770385622290908 ;\n",
+      "Epoch 470/1000, Cost: 3.7441\n",
+      " and the parameters are [-2.69093943  3.6724481 ] -4.770427654598378 ;\n",
+      "Epoch 470/1000, Cost: 2.0442\n",
+      " and the parameters are [-2.69092486  3.67242433] -4.7704860226754375 ;\n",
+      "Epoch 470/1000, Cost: 8.2613\n",
+      " and the parameters are [-2.69088853  3.67252828] -4.770419726012544 ;\n",
+      "Epoch 470/1000, Cost: 2.1496\n",
+      " and the parameters are [-2.69088923  3.67257617] -4.770417602454093 ;\n",
+      "Epoch 470/1000, Cost: 3.4844\n",
+      " and the parameters are [-2.69087262  3.67255368] -4.770483230760819 ;\n",
+      "Epoch 470/1000, Cost: 2.3220\n",
+      " and the parameters are [-2.69088045  3.67256061] -4.770515244146869 ;\n",
+      "Epoch 470/1000, Cost: 6.4981\n",
+      " and the parameters are [-2.69091285  3.67268239] -4.770420063155834 ;\n",
+      "Epoch 470/1000, Cost: 6.8073\n",
+      " and the parameters are [-2.69084514  3.67270217] -4.770444461380041 ;\n",
+      "Epoch 470/1000, Cost: 1.3254\n",
+      " and the parameters are [-2.69084478  3.67272378] -4.7704595056145065 ;\n",
+      "Epoch 470/1000, Cost: 1.6938\n",
+      " and the parameters are [-2.69085258  3.67270368] -4.770498258816445 ;\n",
+      "Epoch 470/1000, Cost: 2.9770\n",
+      " and the parameters are [-2.69084913  3.67284582] -4.770431699342721 ;\n",
+      "Epoch 470/1000, Cost: 2.4244\n",
+      " and the parameters are [-2.69087004  3.67281496] -4.770475589161442 ;\n",
+      "Epoch 470/1000, Cost: 3.0567\n",
+      " and the parameters are [-2.69081508  3.67290273] -4.77047197809578 ;\n",
+      "Epoch 470/1000, Cost: 4.2050\n",
+      " and the parameters are [-2.69073507  3.67301093] -4.7704692279127885 ;\n",
+      "Epoch 470/1000, Cost: 3.1635\n",
+      " and the parameters are [-2.69078574  3.67295049] -4.770516031449628 ;\n",
+      "Epoch 470/1000, Cost: 4.0463\n",
+      " and the parameters are [-2.69083646  3.67307532] -4.770429348824122 ;\n",
+      "Epoch 470/1000, Cost: 6.9098\n",
+      " and the parameters are [-2.69083201  3.67317242] -4.770345178488912 ;\n",
+      "Epoch 470/1000, Cost: 2.4690\n",
+      " and the parameters are [-2.69077497  3.67329955] -4.7703121628097245 ;\n",
+      "Epoch 470/1000, Cost: 1.5670\n",
+      " and the parameters are [-2.69076919  3.67337018] -4.7703011721709325 ;\n",
+      "Epoch 470/1000, Cost: 3.9404\n",
+      " and the parameters are [-2.69082283  3.6733564 ] -4.770302175025166 ;\n",
+      "Epoch 470/1000, Cost: 4.9947\n",
+      " and the parameters are [-2.69086381  3.67349482] -4.770191652238152 ;\n",
+      "Epoch 470/1000, Cost: 4.9999\n",
+      " and the parameters are [-2.69089966  3.67348301] -4.770220072039949 ;\n",
+      "Epoch 470/1000, Cost: 6.2389\n",
+      " and the parameters are [-2.6909519   3.67332951] -4.770327998549034 ;\n",
+      "Epoch 470/1000, Cost: 1.6666\n",
+      " and the parameters are [-2.69095129  3.6733621 ] -4.770340307669168 ;\n",
+      "Epoch 470/1000, Cost: 5.7102\n",
+      " and the parameters are [-2.69099011  3.67332362] -4.7703354761784915 ;\n",
+      "Epoch 470/1000, Cost: 3.3864\n",
+      " and the parameters are [-2.69096052  3.67333608] -4.770374410278005 ;\n",
+      "Epoch 470/1000, Cost: 3.4872\n",
+      " and the parameters are [-2.69095906  3.67327225] -4.7704542645879195 ;\n",
+      "Epoch 470/1000, Cost: 2.6522\n",
+      " and the parameters are [-2.69099206  3.6732469 ] -4.770478232328484 ;\n",
+      "Epoch 470/1000, Cost: 3.4631\n",
+      " and the parameters are [-2.69096696  3.67330402] -4.770476198772778 ;\n",
+      "Epoch 470/1000, Cost: 1.8945\n",
+      " and the parameters are [-2.69100411  3.673321  ] -4.770479626958183 ;\n",
+      "Epoch 470/1000, Cost: 3.3864\n",
+      " and the parameters are [-2.69102642  3.67323707] -4.7705627423562955 ;\n",
+      "Epoch 470/1000, Cost: 5.0977\n",
+      " and the parameters are [-2.69101135  3.67328421] -4.770553728146053 ;\n",
+      "Epoch 470/1000, Cost: 4.0086\n",
+      " and the parameters are [-2.69101192  3.67328031] -4.770586643330873 ;\n",
+      "Epoch 470/1000, Cost: 3.2619\n",
+      " and the parameters are [-2.69100336  3.67320856] -4.7706777939751355 ;\n",
+      "Epoch 470/1000, Cost: 6.3161\n",
+      " and the parameters are [-2.69095563  3.67316866] -4.770715873935424 ;\n",
+      "Epoch 470/1000, Cost: 1.8837\n",
+      " and the parameters are [-2.69099811  3.6731512 ] -4.770740189761111 ;\n",
+      "Epoch 470/1000, Cost: 3.3691\n",
+      " and the parameters are [-2.69098011  3.67318412] -4.770763510418707 ;\n",
+      "Epoch 470/1000, Cost: 3.2428\n",
+      " and the parameters are [-2.69100455  3.67315174] -4.77080022795066 ;\n",
+      "Epoch 470/1000, Cost: 4.6399\n",
+      " and the parameters are [-2.69101578  3.67320541] -4.770787971263737 ;\n",
+      "Epoch 470/1000, Cost: 3.3035\n",
+      " and the parameters are [-2.69099194  3.67329142] -4.770778194083705 ;\n",
+      "Epoch 470/1000, Cost: 4.6400\n",
+      " and the parameters are [-2.69096625  3.67336351] -4.770739201990883 ;\n",
+      "Epoch 470/1000, Cost: 4.9425\n",
+      " and the parameters are [-2.6909183   3.67338408] -4.770790181028783 ;\n",
+      "Epoch 470/1000, Cost: 1.2516\n",
+      " and the parameters are [-2.6909137   3.67340924] -4.7708058268778935 ;\n",
+      "Epoch 470/1000, Cost: 3.0758\n",
+      " and the parameters are [-2.69096891  3.67339167] -4.770822575479308 ;\n",
+      "Epoch 470/1000, Cost: 5.6787\n",
+      " and the parameters are [-2.69102573  3.67320066] -4.7709689553665084 ;\n",
+      "Epoch 470/1000, Cost: 3.1308\n",
+      " and the parameters are [-2.69103225  3.6732295 ] -4.770982914012422 ;\n",
+      "Epoch 470/1000, Cost: 4.5654\n",
+      " and the parameters are [-2.69098569  3.67324208] -4.771014225256413 ;\n",
+      "Epoch 470/1000, Cost: 1.3997\n",
+      " and the parameters are [-2.69096588  3.67325612] -4.771044362438068 ;\n",
+      "Epoch 470/1000, Cost: 6.7481\n",
+      " and the parameters are [-2.69096327  3.67308313] -4.771193416666038 ;\n",
+      "Epoch 470/1000, Cost: 5.2222\n",
+      " and the parameters are [-2.69109383  3.67295225] -4.77123821079074 ;\n",
+      "Epoch 470/1000, Cost: 2.0810\n",
+      " and the parameters are [-2.69110344  3.67298591] -4.771244887614478 ;\n",
+      "Epoch 470/1000, Cost: 2.7425\n",
+      " and the parameters are [-2.69115297  3.6729549 ] -4.771265511958006 ;\n",
+      "Epoch 470/1000, Cost: 2.0462\n",
+      " and the parameters are [-2.69117281  3.67298231] -4.771266513525552 ;\n",
+      "Epoch 470/1000, Cost: 1.2359\n",
+      " and the parameters are [-2.69115916  3.67301246] -4.771282266958167 ;\n",
+      "Epoch 470/1000, Cost: 3.7061\n",
+      " and the parameters are [-2.69112782  3.67316072] -4.771213901516043 ;\n",
+      "Epoch 470/1000, Cost: 0.9898\n",
+      " and the parameters are [-2.69112781  3.67321507] -4.77119918416191 ;\n",
+      "Epoch 470/1000, Cost: 3.5475\n",
+      " and the parameters are [-2.69124759  3.67310622] -4.771258941142466 ;\n",
+      "Epoch 470/1000, Cost: 2.9501\n",
+      " and the parameters are [-2.69119992  3.67323173] -4.771236740528912 ;\n",
+      "Epoch 470/1000, Cost: 5.5243\n",
+      " and the parameters are [-2.69111119  3.67339556] -4.7711891192699 ;\n",
+      "Epoch 470/1000, Cost: 4.5681\n",
+      " and the parameters are [-2.6910835   3.67328182] -4.771309791650187 ;\n",
+      "Epoch 470/1000, Cost: 5.0816\n",
+      " and the parameters are [-2.6911022   3.67334614] -4.771272784012211 ;\n",
+      "Epoch 470/1000, Cost: 1.7772\n",
+      " and the parameters are [-2.69106386  3.6733369 ] -4.771328700747661 ;\n",
+      "Epoch 470/1000, Cost: 1.1323\n",
+      " and the parameters are [-2.69108241  3.67330643] -4.7713720310469006 ;\n",
+      "Epoch 470/1000, Cost: 2.2736\n",
+      " and the parameters are [-2.69109136  3.67328975] -4.771406758527532 ;\n",
+      "Epoch 470/1000, Cost: 0.8594\n",
+      " and the parameters are [-2.69109244  3.67333104] -4.771401870016217 ;\n",
+      "Epoch 470/1000, Cost: 4.9486\n",
+      " and the parameters are [-2.69100998  3.67327568] -4.771515364293758 ;\n",
+      "Epoch 470/1000, Cost: 3.8257\n",
+      " and the parameters are [-2.69097268  3.67337951] -4.771472983007403 ;\n",
+      "Epoch 470/1000, Cost: 2.0576\n",
+      " and the parameters are [-2.69096453  3.67337121] -4.771519641834353 ;\n",
+      "Epoch 470/1000, Cost: 3.9649\n",
+      " and the parameters are [-2.69096314  3.67331946] -4.771562139347093 ;\n",
+      "Epoch 470/1000, Cost: 4.9110\n",
+      " and the parameters are [-2.69106283  3.67322885] -4.771616778669791 ;\n",
+      "Epoch 470/1000, Cost: 2.2316\n",
+      " and the parameters are [-2.69102603  3.67330722] -4.771608750619386 ;\n",
+      "Epoch 470/1000, Cost: 4.6580\n",
+      " and the parameters are [-2.6910107  3.6732518] -4.771683865171903 ;\n",
+      "Epoch 470/1000, Cost: 1.5235\n",
+      " and the parameters are [-2.69105313  3.67326276] -4.7716837651980155 ;\n",
+      "Epoch 470/1000, Cost: 2.2894\n",
+      " and the parameters are [-2.69110067  3.6732725 ] -4.7716872330039255 ;\n",
+      "Epoch 470/1000, Cost: 2.1945\n",
+      " and the parameters are [-2.69111457  3.67333223] -4.771670877264989 ;\n",
+      "Epoch 470/1000, Cost: 2.3963\n",
+      " and the parameters are [-2.69118594  3.67331497] -4.771668709637484 ;\n",
+      "Epoch 470/1000, Cost: 3.2644\n",
+      " and the parameters are [-2.6912141   3.67329681] -4.771693915372636 ;\n",
+      "Epoch 470/1000, Cost: 2.2092\n",
+      " and the parameters are [-2.69120947  3.67333983] -4.771697491983131 ;\n",
+      "Epoch 470/1000, Cost: 3.7842\n",
+      " and the parameters are [-2.69124177  3.67342722] -4.771628828891648 ;\n",
+      "Epoch 470/1000, Cost: 0.8984\n",
+      " and the parameters are [-2.69124507  3.67347886] -4.7716107062105095 ;\n",
+      "Epoch 470/1000, Cost: 2.1711\n",
+      " and the parameters are [-2.69127479  3.67353965] -4.771589623216274 ;\n",
+      "Epoch 470/1000, Cost: 1.6972\n",
+      " and the parameters are [-2.69128753  3.67355267] -4.771608350092777 ;\n",
+      "Epoch 470/1000, Cost: 2.2774\n",
+      " and the parameters are [-2.69130438  3.67364194] -4.771573613317475 ;\n",
+      "Epoch 470/1000, Cost: 1.7022\n",
+      " and the parameters are [-2.69127078  3.67369627] -4.771580270544686 ;\n",
+      "Epoch 470/1000, Cost: 1.5017\n",
+      " and the parameters are [-2.69126755  3.673728  ] -4.771589945492847 ;\n",
+      "Epoch 470/1000, Cost: 3.2204\n",
+      " and the parameters are [-2.69132845  3.67381232] -4.771522274680766 ;\n",
+      "Epoch 470/1000, Cost: 2.2307\n",
+      " and the parameters are [-2.69131332  3.67386285] -4.771532903319603 ;\n",
+      "Epoch 470/1000, Cost: 5.4419\n",
+      " and the parameters are [-2.69146836  3.67387182] -4.7714546224316345 ;\n",
+      "Epoch 470/1000, Cost: 4.1097\n",
+      " and the parameters are [-2.69144829  3.6739932 ] -4.771411050646544 ;\n",
+      "Epoch 470/1000, Cost: 3.0747\n",
+      " and the parameters are [-2.69138987  3.67408276] -4.771404088483017 ;\n",
+      "Epoch 470/1000, Cost: 2.5854\n",
+      " and the parameters are [-2.69138382  3.67419517] -4.7713680749080645 ;\n",
+      "Epoch 470/1000, Cost: 3.1496\n",
+      " and the parameters are [-2.69141031  3.67413285] -4.771434094412355 ;\n",
+      "Epoch 470/1000, Cost: 2.7389\n",
+      " and the parameters are [-2.69146992  3.67411319] -4.7714559435404755 ;\n",
+      "Epoch 470/1000, Cost: 3.5468\n",
+      " and the parameters are [-2.69145647  3.67413043] -4.771489127925202 ;\n",
+      "Epoch 470/1000, Cost: 6.7460\n",
+      " and the parameters are [-2.69152392  3.67414456] -4.77145168492023 ;\n",
+      "Epoch 470/1000, Cost: 2.3716\n",
+      " and the parameters are [-2.6915225  3.6740965] -4.7715159436545145 ;\n",
+      "Epoch 470/1000, Cost: 5.3492\n",
+      " and the parameters are [-2.69165062  3.67405053] -4.771497555612672 ;\n",
+      "Epoch 470/1000, Cost: 1.6830\n",
+      " and the parameters are [-2.69168792  3.67407269] -4.771499502245439 ;\n",
+      "Epoch 470/1000, Cost: 2.9776\n",
+      " and the parameters are [-2.69166993  3.6740046 ] -4.771604612463345 ;\n",
+      "Epoch 470/1000, Cost: 2.4747\n",
+      " and the parameters are [-2.69165429  3.67411231] -4.77157005597407 ;\n",
+      "Epoch 470/1000, Cost: 0.9586\n",
+      " and the parameters are [-2.69165126  3.67413853] -4.77157941661634 ;\n",
+      "Epoch 470/1000, Cost: 2.2217\n",
+      " and the parameters are [-2.6916423   3.67415457] -4.771600974241271 ;\n",
+      "Epoch 470/1000, Cost: 2.9003\n",
+      " and the parameters are [-2.69163248  3.67414943] -4.7716451946327165 ;\n",
+      "Epoch 470/1000, Cost: 1.8097\n",
+      " and the parameters are [-2.69162961  3.67416968] -4.771662250193479 ;\n",
+      "Epoch 470/1000, Cost: 4.4434\n",
+      " and the parameters are [-2.69162748  3.674283  ] -4.771599026117952 ;\n",
+      "Epoch 470/1000, Cost: 8.3375\n",
+      " and the parameters are [-2.69160175  3.67436228] -4.771536899182277 ;\n",
+      "Epoch 470/1000, Cost: 6.2339\n",
+      " and the parameters are [-2.69167995  3.67415076] -4.77167471588133 ;\n",
+      "Epoch 470/1000, Cost: 5.4137\n",
+      " and the parameters are [-2.69175181  3.67409093] -4.771703612654245 ;\n",
+      "Epoch 470/1000, Cost: 1.0542\n",
+      " and the parameters are [-2.69175638  3.67411575] -4.7717126895482025 ;\n",
+      "Epoch 470/1000, Cost: 3.7600\n",
+      " and the parameters are [-2.69172182  3.67417823] -4.771707473963434 ;\n",
+      "Epoch 470/1000, Cost: 1.9426\n",
+      " and the parameters are [-2.69174598  3.67414453] -4.771756539055185 ;\n",
+      "Epoch 470/1000, Cost: 2.8163\n",
+      " and the parameters are [-2.69174966  3.67423769] -4.771722144788814 ;\n",
+      "Epoch 470/1000, Cost: 4.3781\n",
+      " and the parameters are [-2.6918016   3.67410406] -4.771825004194577 ;\n",
+      "Epoch 470/1000, Cost: 3.0874\n",
+      " and the parameters are [-2.69177605  3.67406987] -4.7718938821557755 ;\n",
+      "Epoch 470/1000, Cost: 2.4369\n",
+      " and the parameters are [-2.69177843  3.67412774] -4.771884358689113 ;\n",
+      "Epoch 470/1000, Cost: 1.9833\n",
+      " and the parameters are [-2.69175806  3.67414618] -4.771919619504037 ;\n",
+      "Epoch 470/1000, Cost: 2.2346\n",
+      " and the parameters are [-2.69172592  3.67427338] -4.771879515769926 ;\n",
+      "Epoch 470/1000, Cost: 5.0452\n",
+      " and the parameters are [-2.69173732  3.67416475] -4.771970960178992 ;\n",
+      "Epoch 470/1000, Cost: 3.9525\n",
+      " and the parameters are [-2.69178213  3.67404245] -4.772063074150617 ;\n",
+      "Epoch 470/1000, Cost: 1.7455\n",
+      " and the parameters are [-2.69172394  3.67408626] -4.772090189681028 ;\n",
+      "Epoch 470/1000, Cost: 6.2867\n",
+      " and the parameters are [-2.69165803  3.67419361] -4.7720280882187796 ;\n",
+      "Epoch 470/1000, Cost: 2.1878\n",
+      " and the parameters are [-2.69158611  3.67423742] -4.772062058556259 ;\n",
+      "Epoch 470/1000, Cost: 4.0169\n",
+      " and the parameters are [-2.69162908  3.67432229] -4.771993862451777 ;\n",
+      "Epoch 470/1000, Cost: 3.6895\n",
+      " and the parameters are [-2.69168796  3.67423824] -4.7720633731405835 ;\n",
+      "Epoch 470/1000, Cost: 4.1030\n",
+      " and the parameters are [-2.69167354  3.67430296] -4.772068629383892 ;\n",
+      "Epoch 470/1000, Cost: 2.8348\n",
+      " and the parameters are [-2.6917038   3.67436059] -4.772043123358884 ;\n",
+      "Epoch 470/1000, Cost: 2.8282\n",
+      " and the parameters are [-2.6917301   3.67426825] -4.772122166450329 ;\n",
+      "Epoch 470/1000, Cost: 3.7566\n",
+      " and the parameters are [-2.69176924  3.67418166] -4.772187532257788 ;\n",
+      "Epoch 470/1000, Cost: 2.5671\n",
+      " and the parameters are [-2.69183343  3.67420982] -4.772167056854181 ;\n",
+      "Epoch 470/1000, Cost: 5.0373\n",
+      " and the parameters are [-2.69185328  3.67432687] -4.772074789880623 ;\n",
+      "Epoch 470/1000, Cost: 2.9009\n",
+      " and the parameters are [-2.69185453  3.6743452 ] -4.772100264708753 ;\n",
+      "Epoch 470/1000, Cost: 2.2154\n",
+      " and the parameters are [-2.69187949  3.67441101] -4.772074134929311 ;\n",
+      "Epoch 470/1000, Cost: 2.1009\n",
+      " and the parameters are [-2.69189542  3.67440012] -4.772104344561997 ;\n",
+      "Epoch 470/1000, Cost: 2.6320\n",
+      " and the parameters are [-2.69185037  3.6744757 ] -4.772106764413843 ;\n",
+      "Epoch 470/1000, Cost: 6.3573\n",
+      " and the parameters are [-2.69197422  3.67430094] -4.772183750838847 ;\n",
+      "Epoch 470/1000, Cost: 3.1694\n",
+      " and the parameters are [-2.6919396   3.67436685] -4.772193287675212 ;\n",
+      "Epoch 470/1000, Cost: 5.2696\n",
+      " and the parameters are [-2.6919985   3.67435202] -4.77216813714754 ;\n",
+      "Epoch 470/1000, Cost: 1.8406\n",
+      " and the parameters are [-2.69197021  3.67440074] -4.772184237983086 ;\n",
+      "Epoch 470/1000, Cost: 4.0202\n",
+      " and the parameters are [-2.69203834  3.67444888] -4.772144249249394 ;\n",
+      "Epoch 470/1000, Cost: 5.2712\n",
+      " and the parameters are [-2.69205704  3.67434253] -4.772232238223864 ;\n",
+      "Epoch 470/1000, Cost: 1.9218\n",
+      " and the parameters are [-2.69204624  3.67437329] -4.772245504162118 ;\n",
+      "Epoch 470/1000, Cost: 4.1762\n",
+      " and the parameters are [-2.69212832  3.67427466] -4.772310606410623 ;\n",
+      "Epoch 470/1000, Cost: 2.2427\n",
+      " and the parameters are [-2.69211266  3.67434916] -4.772295981211178 ;\n",
+      "Epoch 470/1000, Cost: 1.9126\n",
+      " and the parameters are [-2.69212972  3.67432964] -4.77233335810396 ;\n",
+      "Epoch 470/1000, Cost: 8.3241\n",
+      " and the parameters are [-2.69216398  3.6741418 ] -4.772476296659832 ;\n",
+      "Epoch 470/1000, Cost: 3.9944\n",
+      " and the parameters are [-2.69228838  3.67406286] -4.772485112783852 ;\n",
+      "Epoch 470/1000, Cost: 2.8269\n",
+      " and the parameters are [-2.69226295  3.67407836] -4.772510259469021 ;\n",
+      "Epoch 470/1000, Cost: 3.0478\n",
+      " and the parameters are [-2.69233183  3.6740088 ] -4.772557385202543 ;\n",
+      "Epoch 470/1000, Cost: 2.4310\n",
+      " and the parameters are [-2.69235409  3.6740106 ] -4.772568519095641 ;\n",
+      "Epoch 470/1000, Cost: 1.0546\n",
+      " and the parameters are [-2.69236269  3.67400464] -4.77259558042549 ;\n",
+      "Epoch 470/1000, Cost: 7.3809\n",
+      " and the parameters are [-2.69234358  3.67401269] -4.7725921476352235 ;\n",
+      "Epoch 470/1000, Cost: 2.8425\n",
+      " and the parameters are [-2.6923349   3.67405498] -4.7725974816410845 ;\n",
+      "Epoch 470/1000, Cost: 2.3947\n",
+      " and the parameters are [-2.69231821  3.6740507 ] -4.7726440908000445 ;\n",
+      "Epoch 470/1000, Cost: 1.7986\n",
+      " and the parameters are [-2.69226639  3.67417447] -4.772608994240863 ;\n",
+      "Epoch 470/1000, Cost: 1.6262\n",
+      " and the parameters are [-2.69225971  3.67423284] -4.772602502026869 ;\n",
+      "Epoch 470/1000, Cost: 2.5051\n",
+      " and the parameters are [-2.69225696  3.67424068] -4.772635730531994 ;\n",
+      "Epoch 470/1000, Cost: 2.0935\n",
+      " and the parameters are [-2.69224983  3.67429595] -4.772633365078152 ;\n",
+      "Epoch 470/1000, Cost: 3.5229\n",
+      " and the parameters are [-2.69223845  3.67433936] -4.77260577891859 ;\n",
+      "Epoch 470/1000, Cost: 5.2014\n",
+      " and the parameters are [-2.6922492   3.67422403] -4.772705677156276 ;\n",
+      "Epoch 470/1000, Cost: 2.7293\n",
+      " and the parameters are [-2.69221543  3.67421839] -4.772765109236994 ;\n",
+      "Epoch 470/1000, Cost: 5.0371\n",
+      " and the parameters are [-2.69214991  3.67430134] -4.772750574008026 ;\n",
+      "Epoch 470/1000, Cost: 3.8525\n",
+      " and the parameters are [-2.69214337  3.67441002] -4.772712053298815 ;\n",
+      "Epoch 470/1000, Cost: 6.6397\n",
+      " and the parameters are [-2.69226216  3.67414588] -4.772847795871862 ;\n",
+      "Epoch 470/1000, Cost: 2.0345\n",
+      " and the parameters are [-2.69224628  3.6742279 ] -4.772833467524795 ;\n",
+      "Epoch 470/1000, Cost: 3.7452\n",
+      " and the parameters are [-2.69225454  3.67420137] -4.772880581850535 ;\n",
+      "Epoch 470/1000, Cost: 2.3247\n",
+      " and the parameters are [-2.69229263  3.67414332] -4.7729306321919225 ;\n",
+      "Epoch 480/1000, Cost: 2.9943\n",
+      " and the parameters are [-2.70725122  3.69268077] -4.79957577710853 ;\n",
+      "Epoch 480/1000, Cost: 1.5523\n",
+      " and the parameters are [-2.70725774  3.69268383] -4.799601778202546 ;\n",
+      "Epoch 480/1000, Cost: 3.4226\n",
+      " and the parameters are [-2.70725237  3.69266096] -4.799659764673003 ;\n",
+      "Epoch 480/1000, Cost: 4.1002\n",
+      " and the parameters are [-2.70725724  3.69266115] -4.799685208558064 ;\n",
+      "Epoch 480/1000, Cost: 2.3814\n",
+      " and the parameters are [-2.70729399  3.69268321] -4.7996808708151875 ;\n",
+      "Epoch 480/1000, Cost: 3.9176\n",
+      " and the parameters are [-2.70725704  3.69271339] -4.799714733946133 ;\n",
+      "Epoch 480/1000, Cost: 1.8243\n",
+      " and the parameters are [-2.70724544  3.69275406] -4.799720187436126 ;\n",
+      "Epoch 480/1000, Cost: 2.9664\n",
+      " and the parameters are [-2.70726422  3.69284784] -4.799672825874197 ;\n",
+      "Epoch 480/1000, Cost: 4.8365\n",
+      " and the parameters are [-2.70722169  3.69290929] -4.799649011727689 ;\n",
+      "Epoch 480/1000, Cost: 4.6173\n",
+      " and the parameters are [-2.70720089  3.69289844] -4.7996957280630355 ;\n",
+      "Epoch 480/1000, Cost: 2.3500\n",
+      " and the parameters are [-2.70725019  3.69296989] -4.7996590801478565 ;\n",
+      "Epoch 480/1000, Cost: 1.6933\n",
+      " and the parameters are [-2.70731245  3.69295806] -4.79966666704844 ;\n",
+      "Epoch 480/1000, Cost: 2.9615\n",
+      " and the parameters are [-2.70732615  3.69285016] -4.799769094182043 ;\n",
+      "Epoch 480/1000, Cost: 3.9475\n",
+      " and the parameters are [-2.70730962  3.69289484] -4.799784647641827 ;\n",
+      "Epoch 480/1000, Cost: 2.2882\n",
+      " and the parameters are [-2.70731855  3.69285699] -4.799832904318486 ;\n",
+      "Epoch 480/1000, Cost: 9.3348\n",
+      " and the parameters are [-2.70731435  3.69284407] -4.799791555923713 ;\n",
+      "Epoch 480/1000, Cost: 3.1682\n",
+      " and the parameters are [-2.70725332  3.69304022] -4.799721285586455 ;\n",
+      "Epoch 480/1000, Cost: 1.6600\n",
+      " and the parameters are [-2.70724748  3.69312155] -4.799698544607867 ;\n",
+      "Epoch 480/1000, Cost: 5.6669\n",
+      " and the parameters are [-2.70725064  3.69310005] -4.799711562413601 ;\n",
+      "Epoch 480/1000, Cost: 3.4988\n",
+      " and the parameters are [-2.70719603  3.6931164 ] -4.799760613019975 ;\n",
+      "Epoch 480/1000, Cost: 7.6997\n",
+      " and the parameters are [-2.70725184  3.69300506] -4.799805047865253 ;\n",
+      "Epoch 480/1000, Cost: 1.3561\n",
+      " and the parameters are [-2.7072581   3.69302003] -4.799818180034121 ;\n",
+      "Epoch 480/1000, Cost: 5.5488\n",
+      " and the parameters are [-2.70727109  3.69287923] -4.799962866753054 ;\n",
+      "Epoch 480/1000, Cost: 4.3503\n",
+      " and the parameters are [-2.70728266  3.69287445] -4.799986208802728 ;\n",
+      "Epoch 480/1000, Cost: 5.4700\n",
+      " and the parameters are [-2.70721635  3.69298832] -4.7999636993008234 ;\n",
+      "Epoch 480/1000, Cost: 1.2008\n",
+      " and the parameters are [-2.70719974  3.69301527] -4.799983463608544 ;\n",
+      "Epoch 480/1000, Cost: 2.2007\n",
+      " and the parameters are [-2.70723218  3.69303566] -4.799983131511373 ;\n",
+      "Epoch 480/1000, Cost: 5.3349\n",
+      " and the parameters are [-2.70729933  3.6929831 ] -4.8000044886028315 ;\n",
+      "Epoch 480/1000, Cost: 3.5122\n",
+      " and the parameters are [-2.7072827   3.69297561] -4.800050227965276 ;\n",
+      "Epoch 480/1000, Cost: 3.1953\n",
+      " and the parameters are [-2.70723185  3.69305324] -4.800051732940222 ;\n",
+      "Epoch 480/1000, Cost: 1.8813\n",
+      " and the parameters are [-2.70723369  3.69315274] -4.800009363118616 ;\n",
+      "Epoch 480/1000, Cost: 1.8312\n",
+      " and the parameters are [-2.70719133  3.69318242] -4.800044292292824 ;\n",
+      "Epoch 480/1000, Cost: 4.3052\n",
+      " and the parameters are [-2.70722011  3.69308472] -4.800126834991941 ;\n",
+      "Epoch 480/1000, Cost: 3.2374\n",
+      " and the parameters are [-2.70712913  3.69315511] -4.800147677466347 ;\n",
+      "Epoch 480/1000, Cost: 6.0030\n",
+      " and the parameters are [-2.70714068  3.69324257] -4.800105419090265 ;\n",
+      "Epoch 480/1000, Cost: 1.9837\n",
+      " and the parameters are [-2.7071183   3.69333581] -4.800083707449254 ;\n",
+      "Epoch 480/1000, Cost: 1.2990\n",
+      " and the parameters are [-2.70706963  3.6933503 ] -4.8001200485823565 ;\n",
+      "Epoch 480/1000, Cost: 3.6735\n",
+      " and the parameters are [-2.70712444  3.69319814] -4.800219845270247 ;\n",
+      "Epoch 480/1000, Cost: 2.6881\n",
+      " and the parameters are [-2.70705237  3.69327824] -4.800225800271251 ;\n",
+      "Epoch 480/1000, Cost: 3.5505\n",
+      " and the parameters are [-2.70706101  3.69320561] -4.800299201512276 ;\n",
+      "Epoch 480/1000, Cost: 2.9538\n",
+      " and the parameters are [-2.70705527  3.69317748] -4.800344493727174 ;\n",
+      "Epoch 480/1000, Cost: 1.8323\n",
+      " and the parameters are [-2.70707612  3.69321017] -4.800339701098228 ;\n",
+      "Epoch 480/1000, Cost: 2.4888\n",
+      " and the parameters are [-2.70708343  3.69323395] -4.800357141199473 ;\n",
+      "Epoch 480/1000, Cost: 2.8989\n",
+      " and the parameters are [-2.70701559  3.69339438] -4.800299780553654 ;\n",
+      "Epoch 480/1000, Cost: 2.9468\n",
+      " and the parameters are [-2.70704534  3.69347682] -4.800254847376607 ;\n",
+      "Epoch 480/1000, Cost: 3.3607\n",
+      " and the parameters are [-2.70702109  3.69344672] -4.800336862349505 ;\n",
+      "Epoch 480/1000, Cost: 2.8508\n",
+      " and the parameters are [-2.70705017  3.69347793] -4.800340275406036 ;\n",
+      "Epoch 480/1000, Cost: 3.4136\n",
+      " and the parameters are [-2.70701158  3.69351071] -4.800375654355677 ;\n",
+      "Epoch 480/1000, Cost: 2.3899\n",
+      " and the parameters are [-2.70705632  3.6934779 ] -4.800416411992619 ;\n",
+      "Epoch 480/1000, Cost: 6.0699\n",
+      " and the parameters are [-2.70705103  3.69344375] -4.800476456884949 ;\n",
+      "Epoch 480/1000, Cost: 3.6394\n",
+      " and the parameters are [-2.707126    3.69343819] -4.800469225818585 ;\n",
+      "Epoch 480/1000, Cost: 5.6572\n",
+      " and the parameters are [-2.70717893  3.6933112 ] -4.800534228496715 ;\n",
+      "Epoch 480/1000, Cost: 1.8883\n",
+      " and the parameters are [-2.70717518  3.6933616 ] -4.800538774606542 ;\n",
+      "Epoch 480/1000, Cost: 3.8023\n",
+      " and the parameters are [-2.70725111  3.69318651] -4.800656151765578 ;\n",
+      "Epoch 480/1000, Cost: 3.8010\n",
+      " and the parameters are [-2.70718304  3.69334697] -4.8005998220076815 ;\n",
+      "Epoch 480/1000, Cost: 2.9872\n",
+      " and the parameters are [-2.70723434  3.69343745] -4.800542002809196 ;\n",
+      "Epoch 480/1000, Cost: 3.1905\n",
+      " and the parameters are [-2.70716552  3.6935693 ] -4.800502014812729 ;\n",
+      "Epoch 480/1000, Cost: 2.8774\n",
+      " and the parameters are [-2.70711228  3.6935848 ] -4.80056938072657 ;\n",
+      "Epoch 480/1000, Cost: 7.5011\n",
+      " and the parameters are [-2.70713911  3.69349932] -4.8006462525983 ;\n",
+      "Epoch 480/1000, Cost: 2.6464\n",
+      " and the parameters are [-2.70722494  3.69342368] -4.800694220361569 ;\n",
+      "Epoch 480/1000, Cost: 2.6623\n",
+      " and the parameters are [-2.70718212  3.69351472] -4.800688636854514 ;\n",
+      "Epoch 480/1000, Cost: 3.0817\n",
+      " and the parameters are [-2.70720679  3.69344932] -4.800758047807076 ;\n",
+      "Epoch 480/1000, Cost: 2.7782\n",
+      " and the parameters are [-2.70718229  3.69351703] -4.800750149678229 ;\n",
+      "Epoch 480/1000, Cost: 3.3481\n",
+      " and the parameters are [-2.70717028  3.69353001] -4.800770249054783 ;\n",
+      "Epoch 480/1000, Cost: 4.2074\n",
+      " and the parameters are [-2.70723349  3.69346462] -4.800809969570488 ;\n",
+      "Epoch 480/1000, Cost: 2.9829\n",
+      " and the parameters are [-2.70725222  3.6934511 ] -4.800831315389763 ;\n",
+      "Epoch 480/1000, Cost: 5.0393\n",
+      " and the parameters are [-2.70719562  3.69345626] -4.800876140848484 ;\n",
+      "Epoch 480/1000, Cost: 4.6624\n",
+      " and the parameters are [-2.70722161  3.69338694] -4.800950008242237 ;\n",
+      "Epoch 480/1000, Cost: 3.2585\n",
+      " and the parameters are [-2.70723578  3.69340845] -4.800952751188982 ;\n",
+      "Epoch 480/1000, Cost: 3.5169\n",
+      " and the parameters are [-2.70728723  3.69341031] -4.800962368479571 ;\n",
+      "Epoch 480/1000, Cost: 1.6655\n",
+      " and the parameters are [-2.70731372  3.69338183] -4.801003429139515 ;\n",
+      "Epoch 480/1000, Cost: 1.2871\n",
+      " and the parameters are [-2.70730774  3.69346414] -4.800980464895291 ;\n",
+      "Epoch 480/1000, Cost: 5.0296\n",
+      " and the parameters are [-2.70739501  3.69334427] -4.801029924958371 ;\n",
+      "Epoch 480/1000, Cost: 7.4672\n",
+      " and the parameters are [-2.70742397  3.69323788] -4.801106792778037 ;\n",
+      "Epoch 480/1000, Cost: 4.2476\n",
+      " and the parameters are [-2.70746083  3.6933774 ] -4.801018082874003 ;\n",
+      "Epoch 480/1000, Cost: 2.7058\n",
+      " and the parameters are [-2.70749874  3.6933706 ] -4.801029479222828 ;\n",
+      "Epoch 480/1000, Cost: 3.5430\n",
+      " and the parameters are [-2.70750192  3.69342514] -4.801034388686695 ;\n",
+      "Epoch 480/1000, Cost: 2.0386\n",
+      " and the parameters are [-2.70754634  3.69338767] -4.801072425921365 ;\n",
+      "Epoch 480/1000, Cost: 6.8366\n",
+      " and the parameters are [-2.70760531  3.69332572] -4.801114900327761 ;\n",
+      "Epoch 480/1000, Cost: 1.4608\n",
+      " and the parameters are [-2.70762654  3.6933952 ] -4.801088275573993 ;\n",
+      "Epoch 480/1000, Cost: 3.2154\n",
+      " and the parameters are [-2.7076403   3.69340929] -4.80110545704113 ;\n",
+      "Epoch 480/1000, Cost: 1.9578\n",
+      " and the parameters are [-2.70763377  3.69348984] -4.801083539751729 ;\n",
+      "Epoch 480/1000, Cost: 3.6452\n",
+      " and the parameters are [-2.70768807  3.69361927] -4.800991848845039 ;\n",
+      "Epoch 480/1000, Cost: 1.7178\n",
+      " and the parameters are [-2.70770428  3.69358079] -4.8010447270151015 ;\n",
+      "Epoch 480/1000, Cost: 2.2612\n",
+      " and the parameters are [-2.70773317  3.69360794] -4.801051885416387 ;\n",
+      "Epoch 480/1000, Cost: 1.2883\n",
+      " and the parameters are [-2.70773814  3.69363591] -4.801062538115705 ;\n",
+      "Epoch 480/1000, Cost: 3.1119\n",
+      " and the parameters are [-2.70769673  3.69365816] -4.801094192216695 ;\n",
+      "Epoch 480/1000, Cost: 1.5869\n",
+      " and the parameters are [-2.70777441  3.69359709] -4.801127976701042 ;\n",
+      "Epoch 480/1000, Cost: 6.3842\n",
+      " and the parameters are [-2.70788454  3.69348412] -4.801163481806243 ;\n",
+      "Epoch 480/1000, Cost: 1.9885\n",
+      " and the parameters are [-2.70783515  3.69358654] -4.801151818295801 ;\n",
+      "Epoch 480/1000, Cost: 4.2066\n",
+      " and the parameters are [-2.70790825  3.69347402] -4.801218798335437 ;\n",
+      "Epoch 480/1000, Cost: 1.1898\n",
+      " and the parameters are [-2.70790711  3.69349541] -4.801231582442443 ;\n",
+      "Epoch 480/1000, Cost: 1.6634\n",
+      " and the parameters are [-2.70788752  3.69350654] -4.8012675203495165 ;\n",
+      "Epoch 480/1000, Cost: 4.0906\n",
+      " and the parameters are [-2.70800118  3.6935263 ] -4.801184350365724 ;\n",
+      "Epoch 480/1000, Cost: 5.9142\n",
+      " and the parameters are [-2.70804782  3.69342614] -4.801268778027496 ;\n",
+      "Epoch 480/1000, Cost: 3.6493\n",
+      " and the parameters are [-2.70801394  3.6934398 ] -4.8013162128238625 ;\n",
+      "Epoch 480/1000, Cost: 1.6134\n",
+      " and the parameters are [-2.70801502  3.6934755 ] -4.801315378862097 ;\n",
+      "Epoch 480/1000, Cost: 3.5212\n",
+      " and the parameters are [-2.70803178  3.69352736] -4.801295136681798 ;\n",
+      "Epoch 480/1000, Cost: 1.8807\n",
+      " and the parameters are [-2.70807359  3.6935238 ] -4.801313948830451 ;\n",
+      "Epoch 480/1000, Cost: 1.7125\n",
+      " and the parameters are [-2.70807528  3.69355736] -4.801318935986465 ;\n",
+      "Epoch 480/1000, Cost: 3.2942\n",
+      " and the parameters are [-2.70812791  3.69363866] -4.80124561837778 ;\n",
+      "Epoch 480/1000, Cost: 4.9736\n",
+      " and the parameters are [-2.7081895   3.69347437] -4.801336771218239 ;\n",
+      "Epoch 480/1000, Cost: 2.4096\n",
+      " and the parameters are [-2.70822152  3.6934679 ] -4.801360989971684 ;\n",
+      "Epoch 480/1000, Cost: 2.4196\n",
+      " and the parameters are [-2.70824681  3.69347216] -4.801369788574205 ;\n",
+      "Epoch 480/1000, Cost: 4.4202\n",
+      " and the parameters are [-2.70832861  3.69354007] -4.801296655267339 ;\n",
+      "Epoch 480/1000, Cost: 6.2262\n",
+      " and the parameters are [-2.7082485   3.69358241] -4.801302833645892 ;\n",
+      "Epoch 480/1000, Cost: 1.4041\n",
+      " and the parameters are [-2.70823751  3.69362382] -4.801309815360933 ;\n",
+      "Epoch 480/1000, Cost: 1.7466\n",
+      " and the parameters are [-2.7082031   3.69367253] -4.80132655433236 ;\n",
+      "Epoch 480/1000, Cost: 1.6471\n",
+      " and the parameters are [-2.70821605  3.69373423] -4.801302433602155 ;\n",
+      "Epoch 480/1000, Cost: 1.9042\n",
+      " and the parameters are [-2.70823146  3.69372216] -4.801336982624267 ;\n",
+      "Epoch 480/1000, Cost: 3.8310\n",
+      " and the parameters are [-2.70824455  3.69372803] -4.80134689414093 ;\n",
+      "Epoch 480/1000, Cost: 3.4926\n",
+      " and the parameters are [-2.70824921  3.69381799] -4.801307611232341 ;\n",
+      "Epoch 480/1000, Cost: 2.8863\n",
+      " and the parameters are [-2.70820091  3.69397263] -4.801246199529405 ;\n",
+      "Epoch 480/1000, Cost: 7.8905\n",
+      " and the parameters are [-2.70816981  3.69404522] -4.8011899546667225 ;\n",
+      "Epoch 480/1000, Cost: 3.6476\n",
+      " and the parameters are [-2.70818052  3.69398421] -4.80124895760642 ;\n",
+      "Epoch 480/1000, Cost: 3.2713\n",
+      " and the parameters are [-2.70815746  3.69401292] -4.801283280211944 ;\n",
+      "Epoch 480/1000, Cost: 2.2693\n",
+      " and the parameters are [-2.70821183  3.69401692] -4.801280413540618 ;\n",
+      "Epoch 480/1000, Cost: 4.9384\n",
+      " and the parameters are [-2.7082477   3.69405601] -4.801247100165253 ;\n",
+      "Epoch 480/1000, Cost: 3.3454\n",
+      " and the parameters are [-2.70834235  3.69389868] -4.801343495719835 ;\n",
+      "Epoch 480/1000, Cost: 1.5260\n",
+      " and the parameters are [-2.70835108  3.69391489] -4.801353074704536 ;\n",
+      "Epoch 480/1000, Cost: 4.1324\n",
+      " and the parameters are [-2.7083847   3.69388782] -4.80136544013698 ;\n",
+      "Epoch 480/1000, Cost: 1.8822\n",
+      " and the parameters are [-2.70838902  3.69389435] -4.801390583161133 ;\n",
+      "Epoch 480/1000, Cost: 4.3679\n",
+      " and the parameters are [-2.70829424  3.6939471 ] -4.801412052493986 ;\n",
+      "Epoch 480/1000, Cost: 1.0211\n",
+      " and the parameters are [-2.70828974  3.69396901] -4.801425119087649 ;\n",
+      "Epoch 480/1000, Cost: 2.9628\n",
+      " and the parameters are [-2.70825384  3.69402159] -4.801441523816855 ;\n",
+      "Epoch 480/1000, Cost: 5.2364\n",
+      " and the parameters are [-2.7082095   3.69408384] -4.8014451526764175 ;\n",
+      "Epoch 480/1000, Cost: 3.6744\n",
+      " and the parameters are [-2.70821481  3.69404192] -4.801471672735894 ;\n",
+      "Epoch 480/1000, Cost: 5.1695\n",
+      " and the parameters are [-2.70821726  3.6939295 ] -4.801592915451715 ;\n",
+      "Epoch 480/1000, Cost: 2.8551\n",
+      " and the parameters are [-2.70821216  3.69402407] -4.8015453441821 ;\n",
+      "Epoch 480/1000, Cost: 1.6439\n",
+      " and the parameters are [-2.7082307   3.69406513] -4.801534860435934 ;\n",
+      "Epoch 480/1000, Cost: 1.5855\n",
+      " and the parameters are [-2.70824765  3.69414276] -4.801495571256181 ;\n",
+      "Epoch 480/1000, Cost: 1.5124\n",
+      " and the parameters are [-2.70824977  3.6941486 ] -4.801512600832601 ;\n",
+      "Epoch 480/1000, Cost: 3.4566\n",
+      " and the parameters are [-2.70825588  3.69415326] -4.80153867342307 ;\n",
+      "Epoch 480/1000, Cost: 2.6954\n",
+      " and the parameters are [-2.70817927  3.69430598] -4.801494658391174 ;\n",
+      "Epoch 480/1000, Cost: 2.4730\n",
+      " and the parameters are [-2.70814662  3.69435199] -4.8015120944309455 ;\n",
+      "Epoch 480/1000, Cost: 3.4439\n",
+      " and the parameters are [-2.70814289  3.69448102] -4.801431051924352 ;\n",
+      "Epoch 480/1000, Cost: 6.3641\n",
+      " and the parameters are [-2.70816279  3.6945183 ] -4.801404183730996 ;\n",
+      "Epoch 480/1000, Cost: 3.7174\n",
+      " and the parameters are [-2.70815417  3.69454737] -4.80143644306676 ;\n",
+      "Epoch 480/1000, Cost: 4.8649\n",
+      " and the parameters are [-2.70809974  3.69452776] -4.8014864801558135 ;\n",
+      "Epoch 480/1000, Cost: 1.4546\n",
+      " and the parameters are [-2.70805579  3.69465585] -4.80143793515543 ;\n",
+      "Epoch 480/1000, Cost: 1.8615\n",
+      " and the parameters are [-2.70807833  3.69462129] -4.801482074754509 ;\n",
+      "Epoch 480/1000, Cost: 1.9215\n",
+      " and the parameters are [-2.70811187  3.69461769] -4.801504306958443 ;\n",
+      "Epoch 480/1000, Cost: 1.9735\n",
+      " and the parameters are [-2.7081229   3.69457616] -4.801566511440851 ;\n",
+      "Epoch 480/1000, Cost: 2.1111\n",
+      " and the parameters are [-2.70812832  3.69468622] -4.801510518022122 ;\n",
+      "Epoch 480/1000, Cost: 5.0033\n",
+      " and the parameters are [-2.70814403  3.69470205] -4.801505555060977 ;\n",
+      "Epoch 480/1000, Cost: 6.5062\n",
+      " and the parameters are [-2.70807661  3.69463085] -4.801625179178037 ;\n",
+      "Epoch 480/1000, Cost: 2.1571\n",
+      " and the parameters are [-2.70805544  3.69462046] -4.801673245362238 ;\n",
+      "Epoch 480/1000, Cost: 1.8905\n",
+      " and the parameters are [-2.70812397  3.69468104] -4.80162938513646 ;\n",
+      "Epoch 480/1000, Cost: 2.6806\n",
+      " and the parameters are [-2.70820588  3.69469891] -4.801596719747027 ;\n",
+      "Epoch 480/1000, Cost: 2.2582\n",
+      " and the parameters are [-2.70818136  3.69475698] -4.801603774525215 ;\n",
+      "Epoch 480/1000, Cost: 4.7961\n",
+      " and the parameters are [-2.70820987  3.69475229] -4.801610258968893 ;\n",
+      "Epoch 480/1000, Cost: 4.7198\n",
+      " and the parameters are [-2.70815154  3.69471236] -4.801683641774067 ;\n",
+      "Epoch 480/1000, Cost: 1.5124\n",
+      " and the parameters are [-2.7081836   3.69471967] -4.801689644524989 ;\n",
+      "Epoch 480/1000, Cost: 2.8588\n",
+      " and the parameters are [-2.70822301  3.69474641] -4.801675057254113 ;\n",
+      "Epoch 480/1000, Cost: 9.1557\n",
+      " and the parameters are [-2.70840376  3.69466743] -4.8016114756117325 ;\n",
+      "Epoch 480/1000, Cost: 3.9222\n",
+      " and the parameters are [-2.70847049  3.69468387] -4.8015949650166245 ;\n",
+      "Epoch 480/1000, Cost: 1.0678\n",
+      " and the parameters are [-2.70846989  3.69472444] -4.8015953088988965 ;\n",
+      "Epoch 480/1000, Cost: 4.2229\n",
+      " and the parameters are [-2.70847123  3.69465191] -4.801648726335367 ;\n",
+      "Epoch 480/1000, Cost: 3.4798\n",
+      " and the parameters are [-2.70853773  3.69448757] -4.801758127217621 ;\n",
+      "Epoch 480/1000, Cost: 7.3198\n",
+      " and the parameters are [-2.70855521  3.69458944] -4.8016788754534545 ;\n",
+      "Epoch 480/1000, Cost: 1.4581\n",
+      " and the parameters are [-2.70855431  3.69460218] -4.801703143251257 ;\n",
+      "Epoch 480/1000, Cost: 2.4033\n",
+      " and the parameters are [-2.70845213  3.69461341] -4.801778883945953 ;\n",
+      "Epoch 480/1000, Cost: 1.6681\n",
+      " and the parameters are [-2.70845297  3.69460455] -4.801821863587228 ;\n",
+      "Epoch 480/1000, Cost: 4.0670\n",
+      " and the parameters are [-2.70843917  3.69450104] -4.801920145992098 ;\n",
+      "Epoch 480/1000, Cost: 2.3134\n",
+      " and the parameters are [-2.70841531  3.69457835] -4.801907803933604 ;\n",
+      "Epoch 480/1000, Cost: 5.2018\n",
+      " and the parameters are [-2.7084273   3.69459065] -4.801905521972993 ;\n",
+      "Epoch 480/1000, Cost: 1.3094\n",
+      " and the parameters are [-2.70842935  3.69462809] -4.801907015151108 ;\n",
+      "Epoch 480/1000, Cost: 4.6025\n",
+      " and the parameters are [-2.70851996  3.69458986] -4.801911394945203 ;\n",
+      "Epoch 480/1000, Cost: 1.9646\n",
+      " and the parameters are [-2.70855047  3.69464276] -4.801886518221762 ;\n",
+      "Epoch 480/1000, Cost: 7.7183\n",
+      " and the parameters are [-2.70856764  3.69461717] -4.8018898676982085 ;\n",
+      "Epoch 480/1000, Cost: 2.5905\n",
+      " and the parameters are [-2.70858476  3.69456143] -4.8019544450529645 ;\n",
+      "Epoch 480/1000, Cost: 2.1451\n",
+      " and the parameters are [-2.70858458  3.6946044 ] -4.801954277908266 ;\n",
+      "Epoch 480/1000, Cost: 2.4346\n",
+      " and the parameters are [-2.70857992  3.69465574] -4.801958349173169 ;\n",
+      "Epoch 480/1000, Cost: 4.6527\n",
+      " and the parameters are [-2.70855605  3.69458626] -4.802075582103903 ;\n",
+      "Epoch 480/1000, Cost: 5.0800\n",
+      " and the parameters are [-2.7085251  3.6945853] -4.802114265077649 ;\n",
+      "Epoch 480/1000, Cost: 2.3275\n",
+      " and the parameters are [-2.7085249   3.69453439] -4.802190048000127 ;\n",
+      "Epoch 480/1000, Cost: 2.5714\n",
+      " and the parameters are [-2.70852369  3.69455923] -4.80219946729281 ;\n",
+      "Epoch 480/1000, Cost: 3.8582\n",
+      " and the parameters are [-2.70861776  3.69442918] -4.802264369028324 ;\n",
+      "Epoch 480/1000, Cost: 1.6589\n",
+      " and the parameters are [-2.70859095  3.69453617] -4.802229317405627 ;\n",
+      "Epoch 480/1000, Cost: 1.7948\n",
+      " and the parameters are [-2.70857408  3.6945799 ] -4.802240232862568 ;\n",
+      "Epoch 480/1000, Cost: 2.7058\n",
+      " and the parameters are [-2.70851666  3.69473094] -4.802192360196426 ;\n",
+      "Epoch 480/1000, Cost: 8.9676\n",
+      " and the parameters are [-2.70848538  3.69471669] -4.802206604791352 ;\n",
+      "Epoch 480/1000, Cost: 0.9255\n",
+      " and the parameters are [-2.70851048  3.69473207] -4.80220628990019 ;\n",
+      "Epoch 480/1000, Cost: 4.4286\n",
+      " and the parameters are [-2.70852316  3.69477412] -4.802198248887509 ;\n",
+      "Epoch 480/1000, Cost: 6.5131\n",
+      " and the parameters are [-2.70863414  3.69461183] -4.802266868672819 ;\n",
+      "Epoch 480/1000, Cost: 4.1620\n",
+      " and the parameters are [-2.7086732   3.69458334] -4.802294714529573 ;\n",
+      "Epoch 480/1000, Cost: 3.2545\n",
+      " and the parameters are [-2.70872405  3.69448716] -4.802375964564911 ;\n",
+      "Epoch 480/1000, Cost: 3.5219\n",
+      " and the parameters are [-2.70871212  3.69454771] -4.802375732377811 ;\n",
+      "Epoch 480/1000, Cost: 2.0149\n",
+      " and the parameters are [-2.70868513  3.69454924] -4.8024213179237245 ;\n",
+      "Epoch 480/1000, Cost: 2.7624\n",
+      " and the parameters are [-2.70865293  3.69461106] -4.802422921818057 ;\n",
+      "Epoch 480/1000, Cost: 3.7206\n",
+      " and the parameters are [-2.7087204   3.69469374] -4.802343559975637 ;\n",
+      "Epoch 480/1000, Cost: 5.0975\n",
+      " and the parameters are [-2.70872335  3.69476927] -4.802288530217431 ;\n",
+      "Epoch 480/1000, Cost: 4.0850\n",
+      " and the parameters are [-2.70886511  3.69451676] -4.802418682029249 ;\n",
+      "Epoch 480/1000, Cost: 1.5043\n",
+      " and the parameters are [-2.70886095  3.69458937] -4.8023924442154415 ;\n",
+      "Epoch 480/1000, Cost: 1.1861\n",
+      " and the parameters are [-2.70884936  3.69461762] -4.802409951719815 ;\n",
+      "Epoch 480/1000, Cost: 4.9118\n",
+      " and the parameters are [-2.70884744  3.69470401] -4.802374242257562 ;\n",
+      "Epoch 480/1000, Cost: 1.8628\n",
+      " and the parameters are [-2.70883882  3.69473419] -4.802394587539773 ;\n",
+      "Epoch 480/1000, Cost: 3.3168\n",
+      " and the parameters are [-2.70885572  3.69478381] -4.802391135030025 ;\n",
+      "Epoch 480/1000, Cost: 0.9858\n",
+      " and the parameters are [-2.70886185  3.69483414] -4.8023802860012115 ;\n",
+      "Epoch 480/1000, Cost: 3.9308\n",
+      " and the parameters are [-2.70887418  3.69479353] -4.802439181664474 ;\n",
+      "Epoch 490/1000, Cost: 2.7982\n",
+      " and the parameters are [-2.72349572  3.71304046] -4.8285635144492245 ;\n",
+      "Epoch 490/1000, Cost: 2.8879\n",
+      " and the parameters are [-2.72346686  3.71318673] -4.828506335890182 ;\n",
+      "Epoch 490/1000, Cost: 4.4442\n",
+      " and the parameters are [-2.72356892  3.71304014] -4.828561974286286 ;\n",
+      "Epoch 490/1000, Cost: 1.5406\n",
+      " and the parameters are [-2.72357014  3.71308866] -4.828557340885276 ;\n",
+      "Epoch 490/1000, Cost: 3.0141\n",
+      " and the parameters are [-2.72352727  3.71305453] -4.828642913967698 ;\n",
+      "Epoch 490/1000, Cost: 2.6786\n",
+      " and the parameters are [-2.7236102  3.7130486] -4.828636579788585 ;\n",
+      "Epoch 490/1000, Cost: 1.6631\n",
+      " and the parameters are [-2.72360299  3.713146  ] -4.828587823990698 ;\n",
+      "Epoch 490/1000, Cost: 4.4845\n",
+      " and the parameters are [-2.72358936  3.71316245] -4.828607489443748 ;\n",
+      "Epoch 490/1000, Cost: 4.4033\n",
+      " and the parameters are [-2.72356678  3.71307096] -4.828702036941536 ;\n",
+      "Epoch 490/1000, Cost: 2.1931\n",
+      " and the parameters are [-2.72354442  3.71309587] -4.828725160173465 ;\n",
+      "Epoch 490/1000, Cost: 4.1872\n",
+      " and the parameters are [-2.72360027  3.71307026] -4.828737101685028 ;\n",
+      "Epoch 490/1000, Cost: 6.3044\n",
+      " and the parameters are [-2.72364925  3.71294593] -4.8288352956957175 ;\n",
+      "Epoch 490/1000, Cost: 4.3934\n",
+      " and the parameters are [-2.72369205  3.71276461] -4.828959246106157 ;\n",
+      "Epoch 490/1000, Cost: 1.7418\n",
+      " and the parameters are [-2.72370545  3.71281721] -4.828943104343622 ;\n",
+      "Epoch 490/1000, Cost: 3.5487\n",
+      " and the parameters are [-2.72371109  3.71287308] -4.828920410717118 ;\n",
+      "Epoch 490/1000, Cost: 3.4393\n",
+      " and the parameters are [-2.72368857  3.71295473] -4.828890987844695 ;\n",
+      "Epoch 490/1000, Cost: 1.1577\n",
+      " and the parameters are [-2.72368901  3.71301234] -4.828878807593842 ;\n",
+      "Epoch 490/1000, Cost: 1.9237\n",
+      " and the parameters are [-2.72371231  3.71304171] -4.828885060859829 ;\n",
+      "Epoch 490/1000, Cost: 3.6984\n",
+      " and the parameters are [-2.72368322  3.71319639] -4.828816861124781 ;\n",
+      "Epoch 490/1000, Cost: 3.4807\n",
+      " and the parameters are [-2.72376036  3.71322673] -4.828792443839192 ;\n",
+      "Epoch 490/1000, Cost: 2.0776\n",
+      " and the parameters are [-2.72376284  3.71325611] -4.828812015148582 ;\n",
+      "Epoch 490/1000, Cost: 4.9404\n",
+      " and the parameters are [-2.72365871  3.71327247] -4.828865842848928 ;\n",
+      "Epoch 490/1000, Cost: 1.2303\n",
+      " and the parameters are [-2.72363851  3.71332533] -4.828872216584941 ;\n",
+      "Epoch 490/1000, Cost: 0.8877\n",
+      " and the parameters are [-2.72363667  3.7133457 ] -4.828883634628118 ;\n",
+      "Epoch 490/1000, Cost: 4.0908\n",
+      " and the parameters are [-2.72366876  3.71348315] -4.828798133717795 ;\n",
+      "Epoch 490/1000, Cost: 7.4759\n",
+      " and the parameters are [-2.72361966  3.71341986] -4.828864968590928 ;\n",
+      "Epoch 490/1000, Cost: 4.0046\n",
+      " and the parameters are [-2.72362678  3.71343934] -4.828865201954836 ;\n",
+      "Epoch 490/1000, Cost: 3.6290\n",
+      " and the parameters are [-2.72368122  3.7133778 ] -4.828921096043543 ;\n",
+      "Epoch 490/1000, Cost: 2.6296\n",
+      " and the parameters are [-2.72361558  3.71345802] -4.82892877808626 ;\n",
+      "Epoch 490/1000, Cost: 2.3092\n",
+      " and the parameters are [-2.72358147  3.71356578] -4.828903045027323 ;\n",
+      "Epoch 490/1000, Cost: 3.6868\n",
+      " and the parameters are [-2.72356711  3.71368308] -4.82885313544462 ;\n",
+      "Epoch 490/1000, Cost: 5.7133\n",
+      " and the parameters are [-2.72361055  3.71367899] -4.828855040380259 ;\n",
+      "Epoch 490/1000, Cost: 3.5331\n",
+      " and the parameters are [-2.72357652  3.71379091] -4.8287948199251325 ;\n",
+      "Epoch 490/1000, Cost: 2.6559\n",
+      " and the parameters are [-2.72354624  3.71393809] -4.828744588367998 ;\n",
+      "Epoch 490/1000, Cost: 1.1405\n",
+      " and the parameters are [-2.72356205  3.71392672] -4.828772533165165 ;\n",
+      "Epoch 490/1000, Cost: 1.2248\n",
+      " and the parameters are [-2.72353845  3.71394895] -4.8287934890369195 ;\n",
+      "Epoch 490/1000, Cost: 1.8615\n",
+      " and the parameters are [-2.72355304  3.71400813] -4.828772841436049 ;\n",
+      "Epoch 490/1000, Cost: 2.2923\n",
+      " and the parameters are [-2.72358199  3.71404526] -4.828761373917967 ;\n",
+      "Epoch 490/1000, Cost: 2.0653\n",
+      " and the parameters are [-2.72355838  3.7141372 ] -4.828734928410958 ;\n",
+      "Epoch 490/1000, Cost: 2.7537\n",
+      " and the parameters are [-2.72349905  3.71415357] -4.8287975574970785 ;\n",
+      "Epoch 490/1000, Cost: 5.2736\n",
+      " and the parameters are [-2.72346     3.71428203] -4.8287206730132315 ;\n",
+      "Epoch 490/1000, Cost: 2.0879\n",
+      " and the parameters are [-2.72348348  3.7143013 ] -4.828727010133933 ;\n",
+      "Epoch 490/1000, Cost: 1.4873\n",
+      " and the parameters are [-2.72346837  3.71434176] -4.828743041621081 ;\n",
+      "Epoch 490/1000, Cost: 2.0381\n",
+      " and the parameters are [-2.72349907  3.71433192] -4.828772507826466 ;\n",
+      "Epoch 490/1000, Cost: 1.9671\n",
+      " and the parameters are [-2.72347563  3.71442089] -4.828752104945501 ;\n",
+      "Epoch 490/1000, Cost: 2.0104\n",
+      " and the parameters are [-2.72354648  3.71443363] -4.828734892172752 ;\n",
+      "Epoch 490/1000, Cost: 1.5057\n",
+      " and the parameters are [-2.72354078  3.71449552] -4.828727146048021 ;\n",
+      "Epoch 490/1000, Cost: 3.2070\n",
+      " and the parameters are [-2.72361729  3.71441598] -4.828773184445417 ;\n",
+      "Epoch 490/1000, Cost: 1.5820\n",
+      " and the parameters are [-2.72363141  3.71447166] -4.828761827924816 ;\n",
+      "Epoch 490/1000, Cost: 1.5940\n",
+      " and the parameters are [-2.723655    3.71445983] -4.828789859912662 ;\n",
+      "Epoch 490/1000, Cost: 3.3916\n",
+      " and the parameters are [-2.72367404  3.71443121] -4.828843499404222 ;\n",
+      "Epoch 490/1000, Cost: 3.9669\n",
+      " and the parameters are [-2.72364249  3.71444216] -4.828882685743134 ;\n",
+      "Epoch 490/1000, Cost: 3.8287\n",
+      " and the parameters are [-2.72363342  3.71440961] -4.828936861432013 ;\n",
+      "Epoch 490/1000, Cost: 1.4571\n",
+      " and the parameters are [-2.72365731  3.71441805] -4.828948418297894 ;\n",
+      "Epoch 490/1000, Cost: 6.1309\n",
+      " and the parameters are [-2.72374508  3.71441579] -4.828909188108203 ;\n",
+      "Epoch 490/1000, Cost: 5.1930\n",
+      " and the parameters are [-2.72380529  3.71428998] -4.828992734130484 ;\n",
+      "Epoch 490/1000, Cost: 4.7732\n",
+      " and the parameters are [-2.72383684  3.71437503] -4.828939223640725 ;\n",
+      "Epoch 490/1000, Cost: 2.0630\n",
+      " and the parameters are [-2.72387195  3.71433671] -4.828994877482324 ;\n",
+      "Epoch 490/1000, Cost: 1.9313\n",
+      " and the parameters are [-2.72390084  3.71432407] -4.829014488701505 ;\n",
+      "Epoch 490/1000, Cost: 3.3164\n",
+      " and the parameters are [-2.72393043  3.71431931] -4.82904043555463 ;\n",
+      "Epoch 490/1000, Cost: 1.2025\n",
+      " and the parameters are [-2.72394964  3.71432431] -4.829049171046374 ;\n",
+      "Epoch 490/1000, Cost: 3.8103\n",
+      " and the parameters are [-2.72396242  3.71428344] -4.829104484195877 ;\n",
+      "Epoch 490/1000, Cost: 2.4831\n",
+      " and the parameters are [-2.72400597  3.71428922] -4.829113622887011 ;\n",
+      "Epoch 490/1000, Cost: 4.6416\n",
+      " and the parameters are [-2.72401334  3.71430236] -4.829121448974882 ;\n",
+      "Epoch 490/1000, Cost: 3.9382\n",
+      " and the parameters are [-2.72397309  3.71437774] -4.829098563274501 ;\n",
+      "Epoch 490/1000, Cost: 1.8025\n",
+      " and the parameters are [-2.72396402  3.71436147] -4.829137151572797 ;\n",
+      "Epoch 490/1000, Cost: 1.9699\n",
+      " and the parameters are [-2.72397907  3.71442451] -4.8291186597444 ;\n",
+      "Epoch 490/1000, Cost: 1.5760\n",
+      " and the parameters are [-2.72398809  3.71444924] -4.8291245312184055 ;\n",
+      "Epoch 490/1000, Cost: 1.6394\n",
+      " and the parameters are [-2.72399428  3.71449756] -4.829115460439317 ;\n",
+      "Epoch 490/1000, Cost: 1.9271\n",
+      " and the parameters are [-2.72401007  3.71444418] -4.829178169816243 ;\n",
+      "Epoch 490/1000, Cost: 3.2385\n",
+      " and the parameters are [-2.72398668  3.71440832] -4.829262751252672 ;\n",
+      "Epoch 490/1000, Cost: 1.7330\n",
+      " and the parameters are [-2.72397853  3.7144636 ] -4.82925592735611 ;\n",
+      "Epoch 490/1000, Cost: 6.1282\n",
+      " and the parameters are [-2.72391019  3.71456899] -4.82922325602052 ;\n",
+      "Epoch 490/1000, Cost: 3.0137\n",
+      " and the parameters are [-2.72387221  3.71453724] -4.829291422918965 ;\n",
+      "Epoch 490/1000, Cost: 3.0901\n",
+      " and the parameters are [-2.72389833  3.71449212] -4.829340339840563 ;\n",
+      "Epoch 490/1000, Cost: 5.0138\n",
+      " and the parameters are [-2.72383733  3.7145388 ] -4.829356721096849 ;\n",
+      "Epoch 490/1000, Cost: 6.6811\n",
+      " and the parameters are [-2.72382672  3.71456959] -4.829337122361059 ;\n",
+      "Epoch 490/1000, Cost: 8.2053\n",
+      " and the parameters are [-2.72388401  3.71457641] -4.829295419909062 ;\n",
+      "Epoch 490/1000, Cost: 2.3245\n",
+      " and the parameters are [-2.72393667  3.71463989] -4.829248641277542 ;\n",
+      "Epoch 490/1000, Cost: 6.0970\n",
+      " and the parameters are [-2.72396382  3.71458823] -4.829292496484549 ;\n",
+      "Epoch 490/1000, Cost: 3.1925\n",
+      " and the parameters are [-2.72393865  3.71469413] -4.829257215313151 ;\n",
+      "Epoch 490/1000, Cost: 7.3944\n",
+      " and the parameters are [-2.72400812  3.71485638] -4.829112800343674 ;\n",
+      "Epoch 490/1000, Cost: 3.5691\n",
+      " and the parameters are [-2.72404224  3.71479858] -4.829152805873362 ;\n",
+      "Epoch 490/1000, Cost: 2.6349\n",
+      " and the parameters are [-2.72400943  3.71488193] -4.8291475077054935 ;\n",
+      "Epoch 490/1000, Cost: 5.7984\n",
+      " and the parameters are [-2.72411238  3.71490242] -4.829103073394445 ;\n",
+      "Epoch 490/1000, Cost: 2.3459\n",
+      " and the parameters are [-2.72409687  3.71498762] -4.829069722915092 ;\n",
+      "Epoch 490/1000, Cost: 6.6077\n",
+      " and the parameters are [-2.72413674  3.71488683] -4.829137626616319 ;\n",
+      "Epoch 490/1000, Cost: 2.8639\n",
+      " and the parameters are [-2.72414501  3.71488919] -4.829157063996473 ;\n",
+      "Epoch 490/1000, Cost: 3.1186\n",
+      " and the parameters are [-2.72413696  3.71482232] -4.829238980906729 ;\n",
+      "Epoch 490/1000, Cost: 3.6924\n",
+      " and the parameters are [-2.72416232  3.71489105] -4.829207653432452 ;\n",
+      "Epoch 490/1000, Cost: 2.8520\n",
+      " and the parameters are [-2.72421307  3.71488436] -4.829223701956547 ;\n",
+      "Epoch 490/1000, Cost: 6.1707\n",
+      " and the parameters are [-2.72417034  3.71478811] -4.829334580315615 ;\n",
+      "Epoch 490/1000, Cost: 2.8611\n",
+      " and the parameters are [-2.72412713  3.71478329] -4.829396088472388 ;\n",
+      "Epoch 490/1000, Cost: 1.3770\n",
+      " and the parameters are [-2.72413079  3.71478781] -4.829423899409733 ;\n",
+      "Epoch 490/1000, Cost: 2.7364\n",
+      " and the parameters are [-2.72405202  3.71481836] -4.829478039604158 ;\n",
+      "Epoch 490/1000, Cost: 4.8831\n",
+      " and the parameters are [-2.7240133   3.71472573] -4.82957765949935 ;\n",
+      "Epoch 490/1000, Cost: 7.7311\n",
+      " and the parameters are [-2.72405548  3.71460308] -4.8296381163658895 ;\n",
+      "Epoch 490/1000, Cost: 4.7712\n",
+      " and the parameters are [-2.72406574  3.71449838] -4.829727422446469 ;\n",
+      "Epoch 490/1000, Cost: 1.2360\n",
+      " and the parameters are [-2.72407055  3.71450418] -4.82975115200076 ;\n",
+      "Epoch 490/1000, Cost: 3.4657\n",
+      " and the parameters are [-2.72406788  3.71447857] -4.829811428635485 ;\n",
+      "Epoch 490/1000, Cost: 3.3418\n",
+      " and the parameters are [-2.72417034  3.7143403 ] -4.829879236361525 ;\n",
+      "Epoch 490/1000, Cost: 3.9595\n",
+      " and the parameters are [-2.72426386  3.71430942] -4.829881756071126 ;\n",
+      "Epoch 490/1000, Cost: 2.9976\n",
+      " and the parameters are [-2.72427921  3.71440348] -4.829838467983982 ;\n",
+      "Epoch 490/1000, Cost: 2.9129\n",
+      " and the parameters are [-2.72431402  3.71440116] -4.8298475350407 ;\n",
+      "Epoch 490/1000, Cost: 5.6040\n",
+      " and the parameters are [-2.72422908  3.71433649] -4.82994628475071 ;\n",
+      "Epoch 490/1000, Cost: 5.5364\n",
+      " and the parameters are [-2.72441195  3.71433632] -4.829846325812741 ;\n",
+      "Epoch 490/1000, Cost: 4.9621\n",
+      " and the parameters are [-2.72442159  3.71420841] -4.829952556204404 ;\n",
+      "Epoch 490/1000, Cost: 1.5309\n",
+      " and the parameters are [-2.72445888  3.71417627] -4.829984747813103 ;\n",
+      "Epoch 490/1000, Cost: 3.0337\n",
+      " and the parameters are [-2.7244029   3.71415748] -4.830051024368263 ;\n",
+      "Epoch 490/1000, Cost: 0.7871\n",
+      " and the parameters are [-2.72441833  3.71416248] -4.830060986496112 ;\n",
+      "Epoch 490/1000, Cost: 2.6761\n",
+      " and the parameters are [-2.72449661  3.71414397] -4.830073399999348 ;\n",
+      "Epoch 490/1000, Cost: 3.7595\n",
+      " and the parameters are [-2.72454694  3.71417262] -4.830051897202944 ;\n",
+      "Epoch 490/1000, Cost: 3.2557\n",
+      " and the parameters are [-2.72461236  3.71412824] -4.830079660787888 ;\n",
+      "Epoch 490/1000, Cost: 1.9360\n",
+      " and the parameters are [-2.72460255  3.71414963] -4.830102535849837 ;\n",
+      "Epoch 490/1000, Cost: 2.1763\n",
+      " and the parameters are [-2.72460665  3.71413867] -4.830143073588556 ;\n",
+      "Epoch 490/1000, Cost: 2.2794\n",
+      " and the parameters are [-2.72470276  3.7141542 ] -4.830116249633684 ;\n",
+      "Epoch 490/1000, Cost: 2.0857\n",
+      " and the parameters are [-2.72467419  3.71420337] -4.830127026023092 ;\n",
+      "Epoch 490/1000, Cost: 2.0999\n",
+      " and the parameters are [-2.72467186  3.71421575] -4.8301618557861286 ;\n",
+      "Epoch 490/1000, Cost: 2.2320\n",
+      " and the parameters are [-2.72471875  3.71430417] -4.8300970318899346 ;\n",
+      "Epoch 490/1000, Cost: 3.6800\n",
+      " and the parameters are [-2.72470368  3.71437179] -4.83008445031177 ;\n",
+      "Epoch 490/1000, Cost: 2.3440\n",
+      " and the parameters are [-2.72466503  3.71438695] -4.830116767807885 ;\n",
+      "Epoch 490/1000, Cost: 3.5627\n",
+      " and the parameters are [-2.72465747  3.71444817] -4.830092363484434 ;\n",
+      "Epoch 490/1000, Cost: 2.3779\n",
+      " and the parameters are [-2.72465081  3.71447138] -4.830114330071609 ;\n",
+      "Epoch 490/1000, Cost: 2.8381\n",
+      " and the parameters are [-2.72468349  3.71441932] -4.830158164506506 ;\n",
+      "Epoch 490/1000, Cost: 3.4621\n",
+      " and the parameters are [-2.72480482  3.71422175] -4.830253349981222 ;\n",
+      "Epoch 490/1000, Cost: 3.5255\n",
+      " and the parameters are [-2.7247307   3.71419646] -4.830341701907426 ;\n",
+      "Epoch 490/1000, Cost: 3.4269\n",
+      " and the parameters are [-2.72471669  3.71419392] -4.830376499504452 ;\n",
+      "Epoch 490/1000, Cost: 1.4644\n",
+      " and the parameters are [-2.72469646  3.71425139] -4.830378450431946 ;\n",
+      "Epoch 490/1000, Cost: 1.0089\n",
+      " and the parameters are [-2.7246889   3.71431394] -4.830362785271877 ;\n",
+      "Epoch 490/1000, Cost: 2.4459\n",
+      " and the parameters are [-2.72468853  3.71434758] -4.830368709822067 ;\n",
+      "Epoch 490/1000, Cost: 3.0407\n",
+      " and the parameters are [-2.72468962  3.71440355] -4.8303526818625775 ;\n",
+      "Epoch 490/1000, Cost: 5.5647\n",
+      " and the parameters are [-2.72470811  3.71426465] -4.830457129498517 ;\n",
+      "Epoch 490/1000, Cost: 1.8185\n",
+      " and the parameters are [-2.72461824  3.7143421 ] -4.830477006269371 ;\n",
+      "Epoch 490/1000, Cost: 1.7725\n",
+      " and the parameters are [-2.72466887  3.71435021] -4.830478881292767 ;\n",
+      "Epoch 490/1000, Cost: 2.7258\n",
+      " and the parameters are [-2.72463709  3.71444945] -4.830454263412393 ;\n",
+      "Epoch 490/1000, Cost: 3.7578\n",
+      " and the parameters are [-2.724643    3.71439115] -4.830541327790661 ;\n",
+      "Epoch 490/1000, Cost: 1.8903\n",
+      " and the parameters are [-2.72468192  3.71440828] -4.830545428595614 ;\n",
+      "Epoch 490/1000, Cost: 2.2431\n",
+      " and the parameters are [-2.72469547  3.71446118] -4.830536090481749 ;\n",
+      "Epoch 490/1000, Cost: 3.2676\n",
+      " and the parameters are [-2.72473962  3.71453716] -4.830503533267932 ;\n",
+      "Epoch 490/1000, Cost: 1.8260\n",
+      " and the parameters are [-2.72473524  3.71455813] -4.830521445538602 ;\n",
+      "Epoch 490/1000, Cost: 2.6350\n",
+      " and the parameters are [-2.72470488  3.71459148] -4.830545969629009 ;\n",
+      "Epoch 490/1000, Cost: 1.8055\n",
+      " and the parameters are [-2.72473944  3.71460005] -4.830557377610493 ;\n",
+      "Epoch 490/1000, Cost: 3.1383\n",
+      " and the parameters are [-2.72476083  3.71454212] -4.8306203515008495 ;\n",
+      "Epoch 490/1000, Cost: 5.9892\n",
+      " and the parameters are [-2.72482891  3.71450166] -4.830610260394336 ;\n",
+      "Epoch 490/1000, Cost: 2.8169\n",
+      " and the parameters are [-2.72481627  3.71457469] -4.830601694080476 ;\n",
+      "Epoch 490/1000, Cost: 1.5620\n",
+      " and the parameters are [-2.72482297  3.71457245] -4.8306310117667275 ;\n",
+      "Epoch 490/1000, Cost: 5.2429\n",
+      " and the parameters are [-2.7248907   3.71454535] -4.8306331536362395 ;\n",
+      "Epoch 490/1000, Cost: 2.5563\n",
+      " and the parameters are [-2.72487309  3.71456722] -4.830657019867465 ;\n",
+      "Epoch 490/1000, Cost: 6.9427\n",
+      " and the parameters are [-2.72489228  3.71461842] -4.830579977847068 ;\n",
+      "Epoch 490/1000, Cost: 1.9538\n",
+      " and the parameters are [-2.72487035  3.71459984] -4.830642454737502 ;\n",
+      "Epoch 490/1000, Cost: 3.6159\n",
+      " and the parameters are [-2.7248176   3.71462819] -4.830676011899364 ;\n",
+      "Epoch 490/1000, Cost: 11.9243\n",
+      " and the parameters are [-2.72495814  3.71442039] -4.83069787235171 ;\n",
+      "Epoch 490/1000, Cost: 6.3479\n",
+      " and the parameters are [-2.72496291  3.71440586] -4.830706847217898 ;\n",
+      "Epoch 490/1000, Cost: 4.1914\n",
+      " and the parameters are [-2.72494974  3.71439375] -4.830754088433448 ;\n",
+      "Epoch 490/1000, Cost: 1.8572\n",
+      " and the parameters are [-2.72494347  3.71447501] -4.830733483027363 ;\n",
+      "Epoch 490/1000, Cost: 3.9258\n",
+      " and the parameters are [-2.72501436  3.71445396] -4.830742699110072 ;\n",
+      "Epoch 490/1000, Cost: 2.3682\n",
+      " and the parameters are [-2.7250127   3.71454392] -4.830705476624327 ;\n",
+      "Epoch 490/1000, Cost: 4.0463\n",
+      " and the parameters are [-2.72502824  3.71464866] -4.830640394249358 ;\n",
+      "Epoch 490/1000, Cost: 2.1818\n",
+      " and the parameters are [-2.72501996  3.71464136] -4.830687356480023 ;\n",
+      "Epoch 490/1000, Cost: 4.6773\n",
+      " and the parameters are [-2.72497219  3.71470456] -4.830707000110963 ;\n",
+      "Epoch 490/1000, Cost: 1.1965\n",
+      " and the parameters are [-2.72495828  3.71470823] -4.830745107096626 ;\n",
+      "Epoch 490/1000, Cost: 4.8266\n",
+      " and the parameters are [-2.7249489   3.71479968] -4.830696215605715 ;\n",
+      "Epoch 490/1000, Cost: 3.6774\n",
+      " and the parameters are [-2.72492879  3.71474896] -4.830752311061711 ;\n",
+      "Epoch 490/1000, Cost: 1.3309\n",
+      " and the parameters are [-2.72494222  3.71476824] -4.830760809953263 ;\n",
+      "Epoch 490/1000, Cost: 2.1776\n",
+      " and the parameters are [-2.72489841  3.71479182] -4.830796142975621 ;\n",
+      "Epoch 490/1000, Cost: 2.5293\n",
+      " and the parameters are [-2.72486051  3.71494449] -4.830734558747692 ;\n",
+      "Epoch 490/1000, Cost: 3.7189\n",
+      " and the parameters are [-2.7248697   3.71487876] -4.830800755619058 ;\n",
+      "Epoch 490/1000, Cost: 3.7285\n",
+      " and the parameters are [-2.72493044  3.71483457] -4.830835599270589 ;\n",
+      "Epoch 490/1000, Cost: 1.8402\n",
+      " and the parameters are [-2.7249228   3.71488123] -4.830838835119065 ;\n",
+      "Epoch 490/1000, Cost: 3.4619\n",
+      " and the parameters are [-2.72495291  3.714773  ] -4.830934536404038 ;\n",
+      "Epoch 490/1000, Cost: 3.3392\n",
+      " and the parameters are [-2.72489131  3.71471667] -4.831030437044449 ;\n",
+      "Epoch 490/1000, Cost: 3.0068\n",
+      " and the parameters are [-2.72496647  3.71468238] -4.8310412689518545 ;\n",
+      "Epoch 490/1000, Cost: 7.4742\n",
+      " and the parameters are [-2.72487649  3.71478195] -4.831001634930593 ;\n",
+      "Epoch 490/1000, Cost: 2.8223\n",
+      " and the parameters are [-2.72491874  3.7147212 ] -4.831056231887835 ;\n",
+      "Epoch 490/1000, Cost: 3.3375\n",
+      " and the parameters are [-2.72493139  3.71463934] -4.831152926347485 ;\n",
+      "Epoch 490/1000, Cost: 2.5347\n",
+      " and the parameters are [-2.7249018   3.71471923] -4.831146037004723 ;\n",
+      "Epoch 490/1000, Cost: 3.4579\n",
+      " and the parameters are [-2.72485865  3.71478718] -4.831155021172098 ;\n",
+      "Epoch 490/1000, Cost: 5.6695\n",
+      " and the parameters are [-2.72492086  3.71473177] -4.831154924638723 ;\n",
+      "Epoch 490/1000, Cost: 2.7829\n",
+      " and the parameters are [-2.7249605  3.7148318] -4.8310752486357975 ;\n",
+      "Epoch 490/1000, Cost: 4.3450\n",
+      " and the parameters are [-2.72501522  3.71475982] -4.83111967140345 ;\n",
+      "Epoch 490/1000, Cost: 3.5502\n",
+      " and the parameters are [-2.72497787  3.71492944] -4.8310477404371 ;\n",
+      "Epoch 490/1000, Cost: 2.8189\n",
+      " and the parameters are [-2.72490569  3.7150799 ] -4.831013199724859 ;\n",
+      "Epoch 490/1000, Cost: 2.8006\n",
+      " and the parameters are [-2.72500378  3.71499412] -4.831065289187491 ;\n",
+      "Epoch 490/1000, Cost: 3.3429\n",
+      " and the parameters are [-2.72501303  3.71497061] -4.831108002639299 ;\n",
+      "Epoch 490/1000, Cost: 5.5850\n",
+      " and the parameters are [-2.72513547  3.71487906] -4.8311109394787435 ;\n",
+      "Epoch 490/1000, Cost: 3.5854\n",
+      " and the parameters are [-2.72506765  3.71485373] -4.831192118285075 ;\n",
+      "Epoch 490/1000, Cost: 2.3015\n",
+      " and the parameters are [-2.72506764  3.71489709] -4.831200318764585 ;\n",
+      "Epoch 490/1000, Cost: 2.9559\n",
+      " and the parameters are [-2.72509116  3.71498377] -4.831170336846772 ;\n",
+      "Epoch 490/1000, Cost: 4.6801\n",
+      " and the parameters are [-2.72505369  3.71494936] -4.831234985362719 ;\n",
+      "Epoch 490/1000, Cost: 5.9130\n",
+      " and the parameters are [-2.72514106  3.71475256] -4.831347485648369 ;\n",
+      "Epoch 490/1000, Cost: 5.6756\n",
+      " and the parameters are [-2.72508706  3.71476479] -4.83137425254538 ;\n",
+      "Epoch 490/1000, Cost: 5.6087\n",
+      " and the parameters are [-2.72513993  3.71465821] -4.831437541921419 ;\n",
+      "Epoch 490/1000, Cost: 2.2880\n",
+      " and the parameters are [-2.72514583  3.71471411] -4.831427694612275 ;\n",
+      "Epoch 490/1000, Cost: 5.0564\n",
+      " and the parameters are [-2.72515663  3.71473583] -4.83140751657075 ;\n",
+      "Epoch 490/1000, Cost: 1.2538\n",
+      " and the parameters are [-2.72515377  3.71475693] -4.83142738548219 ;\n",
+      "Epoch 490/1000, Cost: 3.2944\n",
+      " and the parameters are [-2.7251399   3.71484619] -4.831397385737418 ;\n",
+      "Epoch 490/1000, Cost: 1.1604\n",
+      " and the parameters are [-2.72512803  3.71489422] -4.831399152089398 ;\n",
+      "Epoch 490/1000, Cost: 2.5290\n",
+      " and the parameters are [-2.72516182  3.7148835 ] -4.831415771744378 ;\n",
+      "Epoch 490/1000, Cost: 5.1732\n",
+      " and the parameters are [-2.72517588  3.71489008] -4.831422807105111 ;\n",
+      "Epoch 490/1000, Cost: 4.6150\n",
+      " and the parameters are [-2.72519398  3.71485516] -4.831481409851088 ;\n",
+      "Epoch 500/1000, Cost: 1.5867\n",
+      " and the parameters are [-2.73955408  3.73279498] -4.857071844583149 ;\n",
+      "Epoch 500/1000, Cost: 1.8568\n",
+      " and the parameters are [-2.73954975  3.73279881] -4.8571003987349926 ;\n",
+      "Epoch 500/1000, Cost: 2.7994\n",
+      " and the parameters are [-2.73957041  3.73287247] -4.857082591151248 ;\n",
+      "Epoch 500/1000, Cost: 2.2603\n",
+      " and the parameters are [-2.73952936  3.73294216] -4.857088130280538 ;\n",
+      "Epoch 500/1000, Cost: 1.5175\n",
+      " and the parameters are [-2.7395375   3.73291918] -4.85713121092159 ;\n",
+      "Epoch 500/1000, Cost: 2.8433\n",
+      " and the parameters are [-2.7395898   3.73298722] -4.857080136062111 ;\n",
+      "Epoch 500/1000, Cost: 3.5925\n",
+      " and the parameters are [-2.7396522   3.73305407] -4.857011856806728 ;\n",
+      "Epoch 500/1000, Cost: 5.2527\n",
+      " and the parameters are [-2.7395952   3.73320535] -4.856953790778996 ;\n",
+      "Epoch 500/1000, Cost: 9.4525\n",
+      " and the parameters are [-2.73961057  3.73319223] -4.856926880990171 ;\n",
+      "Epoch 500/1000, Cost: 1.8818\n",
+      " and the parameters are [-2.73958886  3.73323052] -4.856947137109508 ;\n",
+      "Epoch 500/1000, Cost: 4.7359\n",
+      " and the parameters are [-2.73954332  3.73337661] -4.856882731631476 ;\n",
+      "Epoch 500/1000, Cost: 4.6269\n",
+      " and the parameters are [-2.73950848  3.73338296] -4.856903439352 ;\n",
+      "Epoch 500/1000, Cost: 3.5061\n",
+      " and the parameters are [-2.73948537  3.73342854] -4.856904452155812 ;\n",
+      "Epoch 500/1000, Cost: 3.1001\n",
+      " and the parameters are [-2.73961891  3.73328043] -4.856974923054183 ;\n",
+      "Epoch 500/1000, Cost: 3.4777\n",
+      " and the parameters are [-2.73955642  3.73332282] -4.857023325534198 ;\n",
+      "Epoch 500/1000, Cost: 3.4929\n",
+      " and the parameters are [-2.73963381  3.73329945] -4.857034650401389 ;\n",
+      "Epoch 500/1000, Cost: 2.9617\n",
+      " and the parameters are [-2.73964529  3.73335298] -4.857012727832198 ;\n",
+      "Epoch 500/1000, Cost: 6.0747\n",
+      " and the parameters are [-2.73956459  3.73336473] -4.857051218374959 ;\n",
+      "Epoch 500/1000, Cost: 2.6937\n",
+      " and the parameters are [-2.73960822  3.73338124] -4.857057691312065 ;\n",
+      "Epoch 500/1000, Cost: 5.5216\n",
+      " and the parameters are [-2.73964987  3.73336016] -4.857061195409016 ;\n",
+      "Epoch 500/1000, Cost: 2.2117\n",
+      " and the parameters are [-2.73962902  3.73337298] -4.8570985370408035 ;\n",
+      "Epoch 500/1000, Cost: 1.0108\n",
+      " and the parameters are [-2.73961201  3.73340208] -4.857113896016997 ;\n",
+      "Epoch 500/1000, Cost: 2.3946\n",
+      " and the parameters are [-2.73958248  3.73345462] -4.857127645750308 ;\n",
+      "Epoch 500/1000, Cost: 2.4478\n",
+      " and the parameters are [-2.73957549  3.73351436] -4.857127112818597 ;\n",
+      "Epoch 500/1000, Cost: 1.1122\n",
+      " and the parameters are [-2.73956258  3.73355703] -4.857127890104515 ;\n",
+      "Epoch 500/1000, Cost: 2.1150\n",
+      " and the parameters are [-2.73956985  3.73353404] -4.8571744131133565 ;\n",
+      "Epoch 500/1000, Cost: 3.6658\n",
+      " and the parameters are [-2.73956704  3.73357156] -4.857176836368323 ;\n",
+      "Epoch 500/1000, Cost: 1.6117\n",
+      " and the parameters are [-2.73957656  3.73362988] -4.857161473938151 ;\n",
+      "Epoch 500/1000, Cost: 3.1707\n",
+      " and the parameters are [-2.73961973  3.73361968] -4.857163552910375 ;\n",
+      "Epoch 500/1000, Cost: 2.8433\n",
+      " and the parameters are [-2.73963202  3.73357364] -4.85721266748019 ;\n",
+      "Epoch 500/1000, Cost: 2.9629\n",
+      " and the parameters are [-2.73956831  3.73375146] -4.857146005503161 ;\n",
+      "Epoch 500/1000, Cost: 5.2698\n",
+      " and the parameters are [-2.73956367  3.73365289] -4.85724508147931 ;\n",
+      "Epoch 500/1000, Cost: 2.7217\n",
+      " and the parameters are [-2.7396197   3.73359424] -4.857292659785703 ;\n",
+      "Epoch 500/1000, Cost: 3.0139\n",
+      " and the parameters are [-2.73958063  3.73360202] -4.857334822211357 ;\n",
+      "Epoch 500/1000, Cost: 2.1842\n",
+      " and the parameters are [-2.73954939  3.73362788] -4.857368693668447 ;\n",
+      "Epoch 500/1000, Cost: 1.9786\n",
+      " and the parameters are [-2.73959382  3.7336727 ] -4.8573384611179975 ;\n",
+      "Epoch 500/1000, Cost: 4.9007\n",
+      " and the parameters are [-2.73963596  3.73369981] -4.85732123814006 ;\n",
+      "Epoch 500/1000, Cost: 2.2006\n",
+      " and the parameters are [-2.73964787  3.73372547] -4.857331947984458 ;\n",
+      "Epoch 500/1000, Cost: 3.3327\n",
+      " and the parameters are [-2.73956074  3.73380637] -4.857354962686226 ;\n",
+      "Epoch 500/1000, Cost: 3.2876\n",
+      " and the parameters are [-2.73957325  3.73376013] -4.857425065275574 ;\n",
+      "Epoch 500/1000, Cost: 1.0548\n",
+      " and the parameters are [-2.73960078  3.7337479 ] -4.857447126775656 ;\n",
+      "Epoch 500/1000, Cost: 2.0925\n",
+      " and the parameters are [-2.73966352  3.73367961] -4.857496609892262 ;\n",
+      "Epoch 500/1000, Cost: 2.3787\n",
+      " and the parameters are [-2.73958342  3.73375238] -4.857513506262342 ;\n",
+      "Epoch 500/1000, Cost: 1.9585\n",
+      " and the parameters are [-2.73957285  3.73381108] -4.857500373549507 ;\n",
+      "Epoch 500/1000, Cost: 3.9342\n",
+      " and the parameters are [-2.73961685  3.73386676] -4.857480671471503 ;\n",
+      "Epoch 500/1000, Cost: 1.2162\n",
+      " and the parameters are [-2.739607    3.73388555] -4.857503160763914 ;\n",
+      "Epoch 500/1000, Cost: 6.1073\n",
+      " and the parameters are [-2.73953201  3.73399195] -4.8574700974431435 ;\n",
+      "Epoch 500/1000, Cost: 3.7811\n",
+      " and the parameters are [-2.73957909  3.73387587] -4.857560860563632 ;\n",
+      "Epoch 500/1000, Cost: 3.0276\n",
+      " and the parameters are [-2.7396156   3.73387699] -4.857575828304741 ;\n",
+      "Epoch 500/1000, Cost: 1.6024\n",
+      " and the parameters are [-2.73956553  3.73388434] -4.857625895644242 ;\n",
+      "Epoch 500/1000, Cost: 4.5007\n",
+      " and the parameters are [-2.73968026  3.73381298] -4.857636579431402 ;\n",
+      "Epoch 500/1000, Cost: 2.0699\n",
+      " and the parameters are [-2.73968089  3.73389191] -4.857608586685745 ;\n",
+      "Epoch 500/1000, Cost: 5.8130\n",
+      " and the parameters are [-2.73968972  3.73379616] -4.857698321952899 ;\n",
+      "Epoch 500/1000, Cost: 2.0569\n",
+      " and the parameters are [-2.73970678  3.73382677] -4.857703658942283 ;\n",
+      "Epoch 500/1000, Cost: 2.3953\n",
+      " and the parameters are [-2.73970469  3.73379884] -4.8577649939827845 ;\n",
+      "Epoch 500/1000, Cost: 2.6122\n",
+      " and the parameters are [-2.73972005  3.73376803] -4.857815465352555 ;\n",
+      "Epoch 500/1000, Cost: 6.0743\n",
+      " and the parameters are [-2.73966517  3.73380017] -4.857832198285324 ;\n",
+      "Epoch 500/1000, Cost: 3.7515\n",
+      " and the parameters are [-2.73962364  3.73385449] -4.857847648982076 ;\n",
+      "Epoch 500/1000, Cost: 1.7181\n",
+      " and the parameters are [-2.7396426   3.73386193] -4.857861195606638 ;\n",
+      "Epoch 500/1000, Cost: 5.9669\n",
+      " and the parameters are [-2.73977664  3.73370577] -4.857899326113616 ;\n",
+      "Epoch 500/1000, Cost: 3.4746\n",
+      " and the parameters are [-2.7398348   3.73376709] -4.857826935224579 ;\n",
+      "Epoch 500/1000, Cost: 2.0277\n",
+      " and the parameters are [-2.73982708  3.73379355] -4.857849242521708 ;\n",
+      "Epoch 500/1000, Cost: 5.6683\n",
+      " and the parameters are [-2.7399404   3.73361738] -4.857936898285546 ;\n",
+      "Epoch 500/1000, Cost: 3.6029\n",
+      " and the parameters are [-2.73988558  3.73368095] -4.857950367052276 ;\n",
+      "Epoch 500/1000, Cost: 2.1509\n",
+      " and the parameters are [-2.73986589  3.7337635 ] -4.857932781407663 ;\n",
+      "Epoch 500/1000, Cost: 5.3440\n",
+      " and the parameters are [-2.7399191   3.73370977] -4.857951253510022 ;\n",
+      "Epoch 500/1000, Cost: 3.1933\n",
+      " and the parameters are [-2.7399906   3.73357142] -4.858053170323003 ;\n",
+      "Epoch 500/1000, Cost: 7.4779\n",
+      " and the parameters are [-2.740061    3.73361275] -4.857959646993445 ;\n",
+      "Epoch 500/1000, Cost: 1.7725\n",
+      " and the parameters are [-2.74007997  3.7336816 ] -4.8579345943786665 ;\n",
+      "Epoch 500/1000, Cost: 2.7654\n",
+      " and the parameters are [-2.74003377  3.73371845] -4.857955900241678 ;\n",
+      "Epoch 500/1000, Cost: 1.3182\n",
+      " and the parameters are [-2.74001073  3.73376577] -4.857964432741321 ;\n",
+      "Epoch 500/1000, Cost: 5.7372\n",
+      " and the parameters are [-2.73999845  3.73374551] -4.8579915022551585 ;\n",
+      "Epoch 500/1000, Cost: 3.9818\n",
+      " and the parameters are [-2.74004591  3.73363033] -4.858082508584801 ;\n",
+      "Epoch 500/1000, Cost: 1.6248\n",
+      " and the parameters are [-2.74003784  3.73368735] -4.858078160835055 ;\n",
+      "Epoch 500/1000, Cost: 1.7257\n",
+      " and the parameters are [-2.74002247  3.73380177] -4.858024261882942 ;\n",
+      "Epoch 500/1000, Cost: 4.9605\n",
+      " and the parameters are [-2.74002509  3.73365284] -4.858160241250981 ;\n",
+      "Epoch 500/1000, Cost: 1.8464\n",
+      " and the parameters are [-2.74003213  3.73368141] -4.858173536631347 ;\n",
+      "Epoch 500/1000, Cost: 0.6288\n",
+      " and the parameters are [-2.74003641  3.73371875] -4.85816377750538 ;\n",
+      "Epoch 500/1000, Cost: 1.7775\n",
+      " and the parameters are [-2.73999547  3.73378388] -4.858164145779796 ;\n",
+      "Epoch 500/1000, Cost: 3.8957\n",
+      " and the parameters are [-2.74006191  3.73379958] -4.8581294272603035 ;\n",
+      "Epoch 500/1000, Cost: 5.2412\n",
+      " and the parameters are [-2.74018973  3.73373604] -4.858127953816209 ;\n",
+      "Epoch 500/1000, Cost: 1.3767\n",
+      " and the parameters are [-2.7402353  3.7337236] -4.858146759320687 ;\n",
+      "Epoch 500/1000, Cost: 10.2669\n",
+      " and the parameters are [-2.74036091  3.73344266] -4.8582864362206095 ;\n",
+      "Epoch 500/1000, Cost: 3.3980\n",
+      " and the parameters are [-2.74042775  3.73341737] -4.858288211820503 ;\n",
+      "Epoch 500/1000, Cost: 5.0883\n",
+      " and the parameters are [-2.74048331  3.73322584] -4.858403509806766 ;\n",
+      "Epoch 500/1000, Cost: 4.0340\n",
+      " and the parameters are [-2.74050316  3.73316026] -4.858468015958888 ;\n",
+      "Epoch 500/1000, Cost: 1.8528\n",
+      " and the parameters are [-2.74048149  3.73323977] -4.8584412246707105 ;\n",
+      "Epoch 500/1000, Cost: 7.2422\n",
+      " and the parameters are [-2.7405961   3.73302205] -4.858561680050399 ;\n",
+      "Epoch 500/1000, Cost: 1.6090\n",
+      " and the parameters are [-2.7406122   3.73307533] -4.858540474832468 ;\n",
+      "Epoch 500/1000, Cost: 4.4258\n",
+      " and the parameters are [-2.74060154  3.73302758] -4.858615445786479 ;\n",
+      "Epoch 500/1000, Cost: 4.0034\n",
+      " and the parameters are [-2.74055318  3.73311147] -4.858594103431221 ;\n",
+      "Epoch 500/1000, Cost: 1.6748\n",
+      " and the parameters are [-2.74052795  3.73315368] -4.858615620857271 ;\n",
+      "Epoch 500/1000, Cost: 2.2434\n",
+      " and the parameters are [-2.74054283  3.7332723 ] -4.858556735841294 ;\n",
+      "Epoch 500/1000, Cost: 2.8397\n",
+      " and the parameters are [-2.74053695  3.73331551] -4.858561730271222 ;\n",
+      "Epoch 500/1000, Cost: 1.5089\n",
+      " and the parameters are [-2.74049361  3.73344249] -4.858518763402985 ;\n",
+      "Epoch 500/1000, Cost: 2.4340\n",
+      " and the parameters are [-2.74048111  3.73351167] -4.858509771645081 ;\n",
+      "Epoch 500/1000, Cost: 3.2725\n",
+      " and the parameters are [-2.7405017   3.73359368] -4.8584487246219865 ;\n",
+      "Epoch 500/1000, Cost: 4.2894\n",
+      " and the parameters are [-2.74049985  3.73359394] -4.858466320667759 ;\n",
+      "Epoch 500/1000, Cost: 2.0197\n",
+      " and the parameters are [-2.74048998  3.73371904] -4.858402434151749 ;\n",
+      "Epoch 500/1000, Cost: 5.0212\n",
+      " and the parameters are [-2.74053651  3.73361797] -4.858467822951021 ;\n",
+      "Epoch 500/1000, Cost: 5.8184\n",
+      " and the parameters are [-2.74043483  3.73377623] -4.858392020832887 ;\n",
+      "Epoch 500/1000, Cost: 4.5768\n",
+      " and the parameters are [-2.74047816  3.73377628] -4.858389356549874 ;\n",
+      "Epoch 500/1000, Cost: 2.2560\n",
+      " and the parameters are [-2.74047858  3.73384945] -4.858368450314264 ;\n",
+      "Epoch 500/1000, Cost: 2.9413\n",
+      " and the parameters are [-2.7404879  3.7338116] -4.858423278619623 ;\n",
+      "Epoch 500/1000, Cost: 2.0919\n",
+      " and the parameters are [-2.7405158   3.73383706] -4.858423970043964 ;\n",
+      "Epoch 500/1000, Cost: 3.6829\n",
+      " and the parameters are [-2.74051787  3.73379075] -4.858486122236507 ;\n",
+      "Epoch 500/1000, Cost: 2.8985\n",
+      " and the parameters are [-2.74046026  3.73386257] -4.858497689273194 ;\n",
+      "Epoch 500/1000, Cost: 2.1757\n",
+      " and the parameters are [-2.74052914  3.73389663] -4.858463093854389 ;\n",
+      "Epoch 500/1000, Cost: 2.9578\n",
+      " and the parameters are [-2.74047117  3.73395768] -4.858472554132872 ;\n",
+      "Epoch 500/1000, Cost: 2.2747\n",
+      " and the parameters are [-2.7405213   3.73387859] -4.858537472417527 ;\n",
+      "Epoch 500/1000, Cost: 7.6598\n",
+      " and the parameters are [-2.74050549  3.73385323] -4.858560540428014 ;\n",
+      "Epoch 500/1000, Cost: 5.5609\n",
+      " and the parameters are [-2.74049961  3.73386906] -4.858574011823431 ;\n",
+      "Epoch 500/1000, Cost: 1.9445\n",
+      " and the parameters are [-2.74051037  3.73390645] -4.858574949567281 ;\n",
+      "Epoch 500/1000, Cost: 1.8657\n",
+      " and the parameters are [-2.74051972  3.73392515] -4.85860040313811 ;\n",
+      "Epoch 500/1000, Cost: 7.5692\n",
+      " and the parameters are [-2.74057664  3.73377331] -4.8586903002233015 ;\n",
+      "Epoch 500/1000, Cost: 3.8240\n",
+      " and the parameters are [-2.74068221  3.733755  ] -4.858676487493023 ;\n",
+      "Epoch 500/1000, Cost: 2.2675\n",
+      " and the parameters are [-2.74066908  3.73376781] -4.858703623849123 ;\n",
+      "Epoch 500/1000, Cost: 1.9406\n",
+      " and the parameters are [-2.74064489  3.73375588] -4.858752876441766 ;\n",
+      "Epoch 500/1000, Cost: 4.3624\n",
+      " and the parameters are [-2.74065056  3.73367199] -4.8588445048345354 ;\n",
+      "Epoch 500/1000, Cost: 2.9169\n",
+      " and the parameters are [-2.74066822  3.73369349] -4.858865145081241 ;\n",
+      "Epoch 500/1000, Cost: 3.1865\n",
+      " and the parameters are [-2.74075276  3.73356903] -4.8589463144493505 ;\n",
+      "Epoch 500/1000, Cost: 3.4876\n",
+      " and the parameters are [-2.74073227  3.73361168] -4.85894630755701 ;\n",
+      "Epoch 500/1000, Cost: 7.9686\n",
+      " and the parameters are [-2.74066347  3.73373651] -4.858866322228559 ;\n",
+      "Epoch 500/1000, Cost: 1.9104\n",
+      " and the parameters are [-2.74067052  3.73377505] -4.858875927482482 ;\n",
+      "Epoch 500/1000, Cost: 5.7354\n",
+      " and the parameters are [-2.74063518  3.73384925] -4.858860133544869 ;\n",
+      "Epoch 500/1000, Cost: 1.5876\n",
+      " and the parameters are [-2.74062467  3.73386832] -4.858879489030065 ;\n",
+      "Epoch 500/1000, Cost: 1.4520\n",
+      " and the parameters are [-2.74060425  3.73390623] -4.85889145961981 ;\n",
+      "Epoch 500/1000, Cost: 1.5432\n",
+      " and the parameters are [-2.74061929  3.73399076] -4.858847984014712 ;\n",
+      "Epoch 500/1000, Cost: 1.7124\n",
+      " and the parameters are [-2.74065784  3.73397902] -4.858865277936281 ;\n",
+      "Epoch 500/1000, Cost: 3.2685\n",
+      " and the parameters are [-2.74063413  3.73400985] -4.858884091037161 ;\n",
+      "Epoch 500/1000, Cost: 4.5276\n",
+      " and the parameters are [-2.74051315  3.73404529] -4.85894560078004 ;\n",
+      "Epoch 500/1000, Cost: 2.9031\n",
+      " and the parameters are [-2.74046722  3.73406544] -4.85898619160677 ;\n",
+      "Epoch 500/1000, Cost: 6.3146\n",
+      " and the parameters are [-2.74051124  3.73388976] -4.859100262110072 ;\n",
+      "Epoch 500/1000, Cost: 1.9112\n",
+      " and the parameters are [-2.74049029  3.73395508] -4.85908274538829 ;\n",
+      "Epoch 500/1000, Cost: 3.4074\n",
+      " and the parameters are [-2.74053272  3.73400455] -4.859025772616693 ;\n",
+      "Epoch 500/1000, Cost: 2.4298\n",
+      " and the parameters are [-2.74049766  3.73402773] -4.859059482734276 ;\n",
+      "Epoch 500/1000, Cost: 5.1928\n",
+      " and the parameters are [-2.74057833  3.73400153] -4.8590443285688965 ;\n",
+      "Epoch 500/1000, Cost: 2.4041\n",
+      " and the parameters are [-2.74050089  3.73415133] -4.859014460309531 ;\n",
+      "Epoch 500/1000, Cost: 6.5237\n",
+      " and the parameters are [-2.74046839  3.73420156] -4.859014407387072 ;\n",
+      "Epoch 500/1000, Cost: 4.3100\n",
+      " and the parameters are [-2.74051975  3.73431954] -4.858931981435429 ;\n",
+      "Epoch 500/1000, Cost: 1.1654\n",
+      " and the parameters are [-2.74049399  3.73434865] -4.858956838887712 ;\n",
+      "Epoch 500/1000, Cost: 2.4757\n",
+      " and the parameters are [-2.7404786   3.73438082] -4.858982579644184 ;\n",
+      "Epoch 500/1000, Cost: 1.3461\n",
+      " and the parameters are [-2.74052019  3.73434695] -4.859015201532696 ;\n",
+      "Epoch 500/1000, Cost: 2.3841\n",
+      " and the parameters are [-2.7404924   3.73445457] -4.8589810478276485 ;\n",
+      "Epoch 500/1000, Cost: 2.0338\n",
+      " and the parameters are [-2.74049981  3.73450854] -4.858973579124493 ;\n",
+      "Epoch 500/1000, Cost: 1.1566\n",
+      " and the parameters are [-2.74048595  3.73453839] -4.858988363528765 ;\n",
+      "Epoch 500/1000, Cost: 6.8516\n",
+      " and the parameters are [-2.74043308  3.73453381] -4.859016580268553 ;\n",
+      "Epoch 500/1000, Cost: 2.5571\n",
+      " and the parameters are [-2.74043242  3.73453984] -4.859046521586435 ;\n",
+      "Epoch 500/1000, Cost: 2.0928\n",
+      " and the parameters are [-2.74043504  3.73457328] -4.859052562849976 ;\n",
+      "Epoch 500/1000, Cost: 2.3223\n",
+      " and the parameters are [-2.74041815  3.73467008] -4.859020527194683 ;\n",
+      "Epoch 500/1000, Cost: 4.9506\n",
+      " and the parameters are [-2.74038521  3.73456164] -4.859144629323929 ;\n",
+      "Epoch 500/1000, Cost: 3.9568\n",
+      " and the parameters are [-2.74042511  3.73447675] -4.859220309948756 ;\n",
+      "Epoch 500/1000, Cost: 5.6057\n",
+      " and the parameters are [-2.74040113  3.7346356 ] -4.859143935863149 ;\n",
+      "Epoch 500/1000, Cost: 2.2150\n",
+      " and the parameters are [-2.74042993  3.73462082] -4.859176108069982 ;\n",
+      "Epoch 500/1000, Cost: 3.4989\n",
+      " and the parameters are [-2.74053331  3.73452656] -4.85921695870796 ;\n",
+      "Epoch 500/1000, Cost: 3.2925\n",
+      " and the parameters are [-2.74049953  3.73457359] -4.859228654987952 ;\n",
+      "Epoch 500/1000, Cost: 2.9166\n",
+      " and the parameters are [-2.74043873  3.73462335] -4.859256368455626 ;\n",
+      "Epoch 500/1000, Cost: 0.7309\n",
+      " and the parameters are [-2.74043822  3.73463635] -4.859269871065122 ;\n",
+      "Epoch 500/1000, Cost: 3.3574\n",
+      " and the parameters are [-2.74045394  3.73461918] -4.859301964750748 ;\n",
+      "Epoch 500/1000, Cost: 2.5760\n",
+      " and the parameters are [-2.74047529  3.73463808] -4.859313716806909 ;\n",
+      "Epoch 500/1000, Cost: 3.1465\n",
+      " and the parameters are [-2.7405062   3.73473766] -4.859245223719706 ;\n",
+      "Epoch 500/1000, Cost: 2.7865\n",
+      " and the parameters are [-2.74050692  3.73468854] -4.859318532574821 ;\n",
+      "Epoch 500/1000, Cost: 2.5128\n",
+      " and the parameters are [-2.74051505  3.73470872] -4.859334432643779 ;\n",
+      "Epoch 500/1000, Cost: 6.1384\n",
+      " and the parameters are [-2.74053785  3.73468426] -4.859342653497023 ;\n",
+      "Epoch 500/1000, Cost: 2.3072\n",
+      " and the parameters are [-2.74051711  3.73476716] -4.859331883932258 ;\n",
+      "Epoch 500/1000, Cost: 2.4713\n",
+      " and the parameters are [-2.74051168  3.73474199] -4.859383875297104 ;\n",
+      "Epoch 500/1000, Cost: 8.8153\n",
+      " and the parameters are [-2.74059274  3.73467347] -4.859398848251681 ;\n",
+      "Epoch 500/1000, Cost: 4.0572\n",
+      " and the parameters are [-2.74065144  3.73471405] -4.859361590902141 ;\n",
+      "Epoch 500/1000, Cost: 3.0133\n",
+      " and the parameters are [-2.74068267  3.73464783] -4.859424797342232 ;\n",
+      "Epoch 500/1000, Cost: 5.0385\n",
+      " and the parameters are [-2.74063884  3.73459554] -4.85949337861884 ;\n",
+      "Epoch 500/1000, Cost: 5.6632\n",
+      " and the parameters are [-2.74068008  3.73443972] -4.859614000330032 ;\n",
+      "Epoch 500/1000, Cost: 1.3700\n",
+      " and the parameters are [-2.74071265  3.73446913] -4.859603750880569 ;\n",
+      "Epoch 500/1000, Cost: 4.9193\n",
+      " and the parameters are [-2.74068205  3.73455659] -4.85955960196648 ;\n",
+      "Epoch 500/1000, Cost: 2.7242\n",
+      " and the parameters are [-2.74068982  3.73454124] -4.859610839883865 ;\n",
+      "Epoch 500/1000, Cost: 3.7542\n",
+      " and the parameters are [-2.74069975  3.73460969] -4.859579974493786 ;\n",
+      "Epoch 500/1000, Cost: 1.5424\n",
+      " and the parameters are [-2.74070251  3.73469233] -4.859537750056881 ;\n",
+      "Epoch 500/1000, Cost: 2.3059\n",
+      " and the parameters are [-2.74061879  3.73477502] -4.8595592203937334 ;\n",
+      "Epoch 500/1000, Cost: 2.3370\n",
+      " and the parameters are [-2.74063498  3.73483719] -4.859539651321838 ;\n",
+      "Epoch 500/1000, Cost: 3.2945\n",
+      " and the parameters are [-2.74063179  3.73482141] -4.859574289979477 ;\n",
+      "Epoch 500/1000, Cost: 1.7101\n",
+      " and the parameters are [-2.74062553  3.73483015] -4.85960938656283 ;\n",
+      "Epoch 500/1000, Cost: 2.7243\n",
+      " and the parameters are [-2.74068298  3.73481562] -4.859625724018629 ;\n",
+      "Epoch 500/1000, Cost: 1.8705\n",
+      " and the parameters are [-2.74072713  3.73482909] -4.859613941995736 ;\n",
+      "Epoch 500/1000, Cost: 4.8674\n",
+      " and the parameters are [-2.74071583  3.73482884] -4.859639200966328 ;\n",
+      "Epoch 500/1000, Cost: 3.9084\n",
+      " and the parameters are [-2.74080875  3.73471226] -4.859688582094963 ;\n",
+      "Epoch 500/1000, Cost: 5.3531\n",
+      " and the parameters are [-2.74084199  3.73470751] -4.859678983263571 ;\n",
+      "Epoch 500/1000, Cost: 3.5009\n",
+      " and the parameters are [-2.74082861  3.73482904] -4.859619325012607 ;\n",
+      "Epoch 500/1000, Cost: 4.5318\n",
+      " and the parameters are [-2.740956    3.73476506] -4.85960914649826 ;\n",
+      "Epoch 500/1000, Cost: 6.3076\n",
+      " and the parameters are [-2.74095877  3.73468025] -4.859659521617209 ;\n",
+      "Epoch 500/1000, Cost: 1.8986\n",
+      " and the parameters are [-2.74097205  3.73471825] -4.859642327909345 ;\n",
+      "Epoch 500/1000, Cost: 2.1426\n",
+      " and the parameters are [-2.74098864  3.73471707] -4.8596696127840575 ;\n",
+      "Epoch 500/1000, Cost: 1.2252\n",
+      " and the parameters are [-2.74099833  3.73472698] -4.859686887117283 ;\n",
+      "Epoch 500/1000, Cost: 1.5345\n",
+      " and the parameters are [-2.74101945  3.73478683] -4.8596611152621705 ;\n",
+      "Epoch 500/1000, Cost: 3.7271\n",
+      " and the parameters are [-2.74100399  3.73473985] -4.859738847159705 ;\n",
+      "Epoch 500/1000, Cost: 5.5249\n",
+      " and the parameters are [-2.74108866  3.73463438] -4.859805977633304 ;\n",
+      "Epoch 500/1000, Cost: 3.8966\n",
+      " and the parameters are [-2.74104826  3.73466149] -4.859821500625945 ;\n",
+      "Epoch 500/1000, Cost: 2.4170\n",
+      " and the parameters are [-2.74110469  3.73455981] -4.859891122085304 ;\n",
+      "Epoch 500/1000, Cost: 2.6803\n",
+      " and the parameters are [-2.74109726  3.73462802] -4.859886564310134 ;\n",
+      "Epoch 500/1000, Cost: 2.5219\n",
+      " and the parameters are [-2.74112326  3.73462808] -4.859904511803319 ;\n",
+      "Epoch 500/1000, Cost: 2.5898\n",
+      " and the parameters are [-2.74116147  3.73465811] -4.859889805397341 ;\n",
+      "Epoch 500/1000, Cost: 1.7478\n",
+      " and the parameters are [-2.74114504  3.73468943] -4.8599037951277415 ;\n",
+      "Epoch 510/1000, Cost: 2.3467\n",
+      " and the parameters are [-2.755253   3.7522365] -4.885053039416407 ;\n",
+      "Epoch 510/1000, Cost: 5.3199\n",
+      " and the parameters are [-2.75529984  3.75221794] -4.885055903879598 ;\n",
+      "Epoch 510/1000, Cost: 1.4263\n",
+      " and the parameters are [-2.75531254  3.75224219] -4.885063386207797 ;\n",
+      "Epoch 510/1000, Cost: 4.8568\n",
+      " and the parameters are [-2.75539186  3.75209545] -4.885159041291151 ;\n",
+      "Epoch 510/1000, Cost: 3.0789\n",
+      " and the parameters are [-2.7553463   3.75222343] -4.885112889489235 ;\n",
+      "Epoch 510/1000, Cost: 2.3950\n",
+      " and the parameters are [-2.75532447  3.75232056] -4.885084066737069 ;\n",
+      "Epoch 510/1000, Cost: 4.5461\n",
+      " and the parameters are [-2.75528287  3.75245953] -4.885010598644774 ;\n",
+      "Epoch 510/1000, Cost: 2.6860\n",
+      " and the parameters are [-2.75529524  3.7524292 ] -4.8850516597912454 ;\n",
+      "Epoch 510/1000, Cost: 6.2578\n",
+      " and the parameters are [-2.75537828  3.75223819] -4.88517518163039 ;\n",
+      "Epoch 510/1000, Cost: 1.9842\n",
+      " and the parameters are [-2.75533879  3.75230607] -4.885171862686507 ;\n",
+      "Epoch 510/1000, Cost: 4.7074\n",
+      " and the parameters are [-2.75541804  3.75232938] -4.885139149651445 ;\n",
+      "Epoch 510/1000, Cost: 2.8631\n",
+      " and the parameters are [-2.75540953  3.75228164] -4.885205382245405 ;\n",
+      "Epoch 510/1000, Cost: 2.7951\n",
+      " and the parameters are [-2.75539564  3.75243218] -4.885133917832598 ;\n",
+      "Epoch 510/1000, Cost: 3.9158\n",
+      " and the parameters are [-2.75538655  3.75243332] -4.885171447086432 ;\n",
+      "Epoch 510/1000, Cost: 2.5802\n",
+      " and the parameters are [-2.75538659  3.75248742] -4.885171958483048 ;\n",
+      "Epoch 510/1000, Cost: 3.1120\n",
+      " and the parameters are [-2.75541359  3.75243659] -4.885236131413583 ;\n",
+      "Epoch 510/1000, Cost: 3.7958\n",
+      " and the parameters are [-2.75544552  3.75245648] -4.885224113766 ;\n",
+      "Epoch 510/1000, Cost: 2.5312\n",
+      " and the parameters are [-2.75549259  3.75234575] -4.885311995900673 ;\n",
+      "Epoch 510/1000, Cost: 2.3753\n",
+      " and the parameters are [-2.75547325  3.75242647] -4.8852983400870045 ;\n",
+      "Epoch 510/1000, Cost: 3.3809\n",
+      " and the parameters are [-2.7554809  3.7523963] -4.885358461632901 ;\n",
+      "Epoch 510/1000, Cost: 3.4842\n",
+      " and the parameters are [-2.75552617  3.75230218] -4.885434444009942 ;\n",
+      "Epoch 510/1000, Cost: 1.1424\n",
+      " and the parameters are [-2.7555774  3.7522885] -4.885442186635601 ;\n",
+      "Epoch 510/1000, Cost: 4.5069\n",
+      " and the parameters are [-2.75557433  3.75222196] -4.885518492905131 ;\n",
+      "Epoch 510/1000, Cost: 3.4694\n",
+      " and the parameters are [-2.7556131   3.75220571] -4.885547486668396 ;\n",
+      "Epoch 510/1000, Cost: 4.6763\n",
+      " and the parameters are [-2.75560006  3.752158  ] -4.885620348468084 ;\n",
+      "Epoch 510/1000, Cost: 1.4297\n",
+      " and the parameters are [-2.75562608  3.75218685] -4.885621192454598 ;\n",
+      "Epoch 510/1000, Cost: 1.6881\n",
+      " and the parameters are [-2.75563488  3.75222231] -4.88561944272591 ;\n",
+      "Epoch 510/1000, Cost: 3.4647\n",
+      " and the parameters are [-2.75574077  3.75221786] -4.885583319107512 ;\n",
+      "Epoch 510/1000, Cost: 1.5126\n",
+      " and the parameters are [-2.75577951  3.75218926] -4.885611344923551 ;\n",
+      "Epoch 510/1000, Cost: 2.9865\n",
+      " and the parameters are [-2.7557481   3.75226631] -4.885592902307568 ;\n",
+      "Epoch 510/1000, Cost: 2.0612\n",
+      " and the parameters are [-2.75569339  3.75231891] -4.8856175867316365 ;\n",
+      "Epoch 510/1000, Cost: 2.1503\n",
+      " and the parameters are [-2.75567281  3.75240947] -4.885590147718958 ;\n",
+      "Epoch 510/1000, Cost: 2.9387\n",
+      " and the parameters are [-2.75572838  3.75246447] -4.88555094550415 ;\n",
+      "Epoch 510/1000, Cost: 2.1850\n",
+      " and the parameters are [-2.75568212  3.75250637] -4.885577239582867 ;\n",
+      "Epoch 510/1000, Cost: 2.2500\n",
+      " and the parameters are [-2.75569139  3.75250816] -4.885598184275759 ;\n",
+      "Epoch 510/1000, Cost: 0.9631\n",
+      " and the parameters are [-2.75564808  3.75254378] -4.885615549211158 ;\n",
+      "Epoch 510/1000, Cost: 1.8330\n",
+      " and the parameters are [-2.75565996  3.75255185] -4.885637779153632 ;\n",
+      "Epoch 510/1000, Cost: 5.2325\n",
+      " and the parameters are [-2.75569132  3.75265298] -4.8855553046557505 ;\n",
+      "Epoch 510/1000, Cost: 9.3862\n",
+      " and the parameters are [-2.75553737  3.75275395] -4.885540870101262 ;\n",
+      "Epoch 510/1000, Cost: 3.9109\n",
+      " and the parameters are [-2.75553803  3.75263923] -4.885661875166146 ;\n",
+      "Epoch 510/1000, Cost: 3.9044\n",
+      " and the parameters are [-2.75564498  3.75252582] -4.88571296330314 ;\n",
+      "Epoch 510/1000, Cost: 1.1147\n",
+      " and the parameters are [-2.75564368  3.75256795] -4.885710933551795 ;\n",
+      "Epoch 510/1000, Cost: 1.1928\n",
+      " and the parameters are [-2.75562566  3.75261334] -4.885712025842437 ;\n",
+      "Epoch 510/1000, Cost: 2.4975\n",
+      " and the parameters are [-2.75556135  3.75267839] -4.885729587470252 ;\n",
+      "Epoch 510/1000, Cost: 4.2130\n",
+      " and the parameters are [-2.75562326  3.75260504] -4.885763034745901 ;\n",
+      "Epoch 510/1000, Cost: 8.0429\n",
+      " and the parameters are [-2.75557461  3.75263849] -4.885737486098834 ;\n",
+      "Epoch 510/1000, Cost: 6.6019\n",
+      " and the parameters are [-2.755625    3.75262901] -4.88571140938853 ;\n",
+      "Epoch 510/1000, Cost: 2.3854\n",
+      " and the parameters are [-2.75558006  3.75279368] -4.8856465111556195 ;\n",
+      "Epoch 510/1000, Cost: 1.9686\n",
+      " and the parameters are [-2.75566411  3.7527695 ] -4.88564170843675 ;\n",
+      "Epoch 510/1000, Cost: 2.3944\n",
+      " and the parameters are [-2.75566299  3.75281504] -4.885644492951656 ;\n",
+      "Epoch 510/1000, Cost: 3.5524\n",
+      " and the parameters are [-2.7556116   3.75287851] -4.885646444369027 ;\n",
+      "Epoch 510/1000, Cost: 2.8941\n",
+      " and the parameters are [-2.75563527  3.7528771 ] -4.885676005081639 ;\n",
+      "Epoch 510/1000, Cost: 2.0939\n",
+      " and the parameters are [-2.75562982  3.75295553] -4.885636130368276 ;\n",
+      "Epoch 510/1000, Cost: 2.8916\n",
+      " and the parameters are [-2.75561403  3.75297781] -4.885644023941186 ;\n",
+      "Epoch 510/1000, Cost: 3.6239\n",
+      " and the parameters are [-2.75558099  3.75297814] -4.885699736134999 ;\n",
+      "Epoch 510/1000, Cost: 3.4771\n",
+      " and the parameters are [-2.75556776  3.75296894] -4.885734118840286 ;\n",
+      "Epoch 510/1000, Cost: 4.7956\n",
+      " and the parameters are [-2.75557848  3.75295004] -4.885755516396049 ;\n",
+      "Epoch 510/1000, Cost: 2.9045\n",
+      " and the parameters are [-2.75558592  3.75299552] -4.885740104095525 ;\n",
+      "Epoch 510/1000, Cost: 3.5585\n",
+      " and the parameters are [-2.75560805  3.75294474] -4.8857799241787205 ;\n",
+      "Epoch 510/1000, Cost: 8.0187\n",
+      " and the parameters are [-2.75558847  3.7529063 ] -4.885803239805174 ;\n",
+      "Epoch 510/1000, Cost: 2.3097\n",
+      " and the parameters are [-2.75560234  3.75294302] -4.885794595155724 ;\n",
+      "Epoch 510/1000, Cost: 5.3048\n",
+      " and the parameters are [-2.75569062  3.75277967] -4.885903911681276 ;\n",
+      "Epoch 510/1000, Cost: 3.1828\n",
+      " and the parameters are [-2.75564391  3.75280089] -4.88594527032157 ;\n",
+      "Epoch 510/1000, Cost: 2.8612\n",
+      " and the parameters are [-2.75568411  3.75288764] -4.8858982281296 ;\n",
+      "Epoch 510/1000, Cost: 4.0243\n",
+      " and the parameters are [-2.75577317  3.75286424] -4.88590005359435 ;\n",
+      "Epoch 510/1000, Cost: 3.9525\n",
+      " and the parameters are [-2.75569795  3.75304515] -4.885827513668681 ;\n",
+      "Epoch 510/1000, Cost: 7.1299\n",
+      " and the parameters are [-2.75561515  3.7530996 ] -4.88584832911796 ;\n",
+      "Epoch 510/1000, Cost: 3.4978\n",
+      " and the parameters are [-2.75559813  3.75315707] -4.885840085542392 ;\n",
+      "Epoch 510/1000, Cost: 4.6243\n",
+      " and the parameters are [-2.75562414  3.75318871] -4.885803815150278 ;\n",
+      "Epoch 510/1000, Cost: 2.9769\n",
+      " and the parameters are [-2.75564519  3.75310554] -4.885887787962167 ;\n",
+      "Epoch 510/1000, Cost: 1.2438\n",
+      " and the parameters are [-2.75564121  3.75313486] -4.885895896188745 ;\n",
+      "Epoch 510/1000, Cost: 5.2503\n",
+      " and the parameters are [-2.7557468   3.75304542] -4.885915531919641 ;\n",
+      "Epoch 510/1000, Cost: 2.3274\n",
+      " and the parameters are [-2.75577756  3.75297103] -4.885983583319196 ;\n",
+      "Epoch 510/1000, Cost: 3.3269\n",
+      " and the parameters are [-2.75576249  3.75302295] -4.885996350007454 ;\n",
+      "Epoch 510/1000, Cost: 4.6532\n",
+      " and the parameters are [-2.75575461  3.75300866] -4.886022855809559 ;\n",
+      "Epoch 510/1000, Cost: 2.2948\n",
+      " and the parameters are [-2.75577269  3.75304384] -4.8860273353717645 ;\n",
+      "Epoch 510/1000, Cost: 4.4971\n",
+      " and the parameters are [-2.75576064  3.75311754] -4.88602461472559 ;\n",
+      "Epoch 510/1000, Cost: 2.5947\n",
+      " and the parameters are [-2.75576711  3.7532297 ] -4.885971086552539 ;\n",
+      "Epoch 510/1000, Cost: 0.7496\n",
+      " and the parameters are [-2.75578647  3.75321878] -4.885990481160518 ;\n",
+      "Epoch 510/1000, Cost: 3.9499\n",
+      " and the parameters are [-2.75586538  3.75313986] -4.886025195535507 ;\n",
+      "Epoch 510/1000, Cost: 3.9299\n",
+      " and the parameters are [-2.75591887  3.7531325 ] -4.88603912554914 ;\n",
+      "Epoch 510/1000, Cost: 7.3697\n",
+      " and the parameters are [-2.7558766   3.75311788] -4.8860699303637025 ;\n",
+      "Epoch 510/1000, Cost: 5.3942\n",
+      " and the parameters are [-2.75591831  3.75321765] -4.885974038706813 ;\n",
+      "Epoch 510/1000, Cost: 4.9961\n",
+      " and the parameters are [-2.75598194  3.75309367] -4.886051670156346 ;\n",
+      "Epoch 510/1000, Cost: 4.9468\n",
+      " and the parameters are [-2.75582276  3.75317115] -4.886095211057937 ;\n",
+      "Epoch 510/1000, Cost: 3.2040\n",
+      " and the parameters are [-2.75588289  3.75311011] -4.886130071972704 ;\n",
+      "Epoch 510/1000, Cost: 1.4170\n",
+      " and the parameters are [-2.75589814  3.75308777] -4.8861722568635955 ;\n",
+      "Epoch 510/1000, Cost: 1.8460\n",
+      " and the parameters are [-2.75585851  3.7530755 ] -4.886220230477286 ;\n",
+      "Epoch 510/1000, Cost: 2.2790\n",
+      " and the parameters are [-2.75589961  3.75304405] -4.8862554707677015 ;\n",
+      "Epoch 510/1000, Cost: 4.1995\n",
+      " and the parameters are [-2.75592879  3.75305632] -4.886243153873655 ;\n",
+      "Epoch 510/1000, Cost: 1.1371\n",
+      " and the parameters are [-2.75592587  3.75313374] -4.886203628088153 ;\n",
+      "Epoch 510/1000, Cost: 3.0895\n",
+      " and the parameters are [-2.75594389  3.75307759] -4.886266794322868 ;\n",
+      "Epoch 510/1000, Cost: 2.3969\n",
+      " and the parameters are [-2.75592258  3.75314715] -4.886274652644804 ;\n",
+      "Epoch 510/1000, Cost: 5.6349\n",
+      " and the parameters are [-2.75583583  3.75321834] -4.886301816244052 ;\n",
+      "Epoch 510/1000, Cost: 5.5171\n",
+      " and the parameters are [-2.75584982  3.75315543] -4.8863494127849245 ;\n",
+      "Epoch 510/1000, Cost: 4.2004\n",
+      " and the parameters are [-2.75584094  3.75318968] -4.886347205939759 ;\n",
+      "Epoch 510/1000, Cost: 2.3561\n",
+      " and the parameters are [-2.75582572  3.75322211] -4.886368008097269 ;\n",
+      "Epoch 510/1000, Cost: 3.3919\n",
+      " and the parameters are [-2.7558461   3.75335567] -4.886280946193277 ;\n",
+      "Epoch 510/1000, Cost: 1.8973\n",
+      " and the parameters are [-2.75582108  3.75340558] -4.886289937560188 ;\n",
+      "Epoch 510/1000, Cost: 2.8785\n",
+      " and the parameters are [-2.75576617  3.75346295] -4.8863099223571265 ;\n",
+      "Epoch 510/1000, Cost: 3.3834\n",
+      " and the parameters are [-2.75574278  3.75350706] -4.886325588763581 ;\n",
+      "Epoch 510/1000, Cost: 4.9276\n",
+      " and the parameters are [-2.7556871   3.75358977] -4.886310163883501 ;\n",
+      "Epoch 510/1000, Cost: 3.4030\n",
+      " and the parameters are [-2.75569897  3.75357696] -4.886337258663921 ;\n",
+      "Epoch 510/1000, Cost: 2.2907\n",
+      " and the parameters are [-2.755659    3.75356252] -4.886409367258547 ;\n",
+      "Epoch 510/1000, Cost: 3.1157\n",
+      " and the parameters are [-2.75566387  3.75360297] -4.88641702757527 ;\n",
+      "Epoch 510/1000, Cost: 1.4028\n",
+      " and the parameters are [-2.75567354  3.75363154] -4.886417496008066 ;\n",
+      "Epoch 510/1000, Cost: 3.9290\n",
+      " and the parameters are [-2.75573753  3.75358109] -4.886452367317983 ;\n",
+      "Epoch 510/1000, Cost: 2.3153\n",
+      " and the parameters are [-2.75574896  3.75357008] -4.886490004576543 ;\n",
+      "Epoch 510/1000, Cost: 3.7803\n",
+      " and the parameters are [-2.75579182  3.75365937] -4.886406140085382 ;\n",
+      "Epoch 510/1000, Cost: 5.6444\n",
+      " and the parameters are [-2.75579706  3.7537978 ] -4.886316101940078 ;\n",
+      "Epoch 510/1000, Cost: 3.1228\n",
+      " and the parameters are [-2.75578325  3.7538095 ] -4.886347862568847 ;\n",
+      "Epoch 510/1000, Cost: 1.4461\n",
+      " and the parameters are [-2.75578783  3.75383402] -4.88636136852402 ;\n",
+      "Epoch 510/1000, Cost: 2.4982\n",
+      " and the parameters are [-2.75585816  3.75381117] -4.886366916449872 ;\n",
+      "Epoch 510/1000, Cost: 3.2276\n",
+      " and the parameters are [-2.75589346  3.75382779] -4.8863692663146825 ;\n",
+      "Epoch 510/1000, Cost: 2.7966\n",
+      " and the parameters are [-2.75595055  3.75376956] -4.886407233265973 ;\n",
+      "Epoch 510/1000, Cost: 0.7716\n",
+      " and the parameters are [-2.75596666  3.75378912] -4.886406551793485 ;\n",
+      "Epoch 510/1000, Cost: 2.5225\n",
+      " and the parameters are [-2.75592754  3.75389051] -4.886384809188329 ;\n",
+      "Epoch 510/1000, Cost: 1.4756\n",
+      " and the parameters are [-2.75593497  3.75387228] -4.886429726618642 ;\n",
+      "Epoch 510/1000, Cost: 3.4752\n",
+      " and the parameters are [-2.7558922   3.75400593] -4.886369215689922 ;\n",
+      "Epoch 510/1000, Cost: 1.4894\n",
+      " and the parameters are [-2.75591772  3.75402911] -4.886366741419373 ;\n",
+      "Epoch 510/1000, Cost: 2.5017\n",
+      " and the parameters are [-2.75595987  3.75409333] -4.88631523833752 ;\n",
+      "Epoch 510/1000, Cost: 3.7501\n",
+      " and the parameters are [-2.7560554   3.75404395] -4.886340232326988 ;\n",
+      "Epoch 510/1000, Cost: 1.4312\n",
+      " and the parameters are [-2.75605173  3.75410913] -4.886325057280168 ;\n",
+      "Epoch 510/1000, Cost: 7.5516\n",
+      " and the parameters are [-2.75604213  3.75403903] -4.886406172867864 ;\n",
+      "Epoch 510/1000, Cost: 2.9358\n",
+      " and the parameters are [-2.75608333  3.7539722 ] -4.88645506858528 ;\n",
+      "Epoch 510/1000, Cost: 1.3658\n",
+      " and the parameters are [-2.75610732  3.75394258] -4.886491874865484 ;\n",
+      "Epoch 510/1000, Cost: 2.2399\n",
+      " and the parameters are [-2.75611523  3.7539834 ] -4.88649918645356 ;\n",
+      "Epoch 510/1000, Cost: 1.0416\n",
+      " and the parameters are [-2.75611087  3.7539877 ] -4.886525246045075 ;\n",
+      "Epoch 510/1000, Cost: 2.6711\n",
+      " and the parameters are [-2.75610279  3.75392341] -4.886596516703792 ;\n",
+      "Epoch 510/1000, Cost: 1.3441\n",
+      " and the parameters are [-2.75609685  3.75395483] -4.886606933265348 ;\n",
+      "Epoch 510/1000, Cost: 3.7208\n",
+      " and the parameters are [-2.75606871  3.75401109] -4.8865965709164625 ;\n",
+      "Epoch 510/1000, Cost: 3.4003\n",
+      " and the parameters are [-2.75604018  3.75401992] -4.886622983117778 ;\n",
+      "Epoch 510/1000, Cost: 3.4291\n",
+      " and the parameters are [-2.75607856  3.75400957] -4.886637371109171 ;\n",
+      "Epoch 510/1000, Cost: 2.9147\n",
+      " and the parameters are [-2.7560983   3.75404851] -4.886632019802263 ;\n",
+      "Epoch 510/1000, Cost: 3.0211\n",
+      " and the parameters are [-2.7561668   3.75400992] -4.886656618170615 ;\n",
+      "Epoch 510/1000, Cost: 5.4228\n",
+      " and the parameters are [-2.75618891  3.75391107] -4.886716667062544 ;\n",
+      "Epoch 510/1000, Cost: 5.0581\n",
+      " and the parameters are [-2.7562164   3.75392304] -4.886693673482762 ;\n",
+      "Epoch 510/1000, Cost: 2.9418\n",
+      " and the parameters are [-2.75618531  3.75405319] -4.886644987319734 ;\n",
+      "Epoch 510/1000, Cost: 4.8116\n",
+      " and the parameters are [-2.75617777  3.75395249] -4.886733577764431 ;\n",
+      "Epoch 510/1000, Cost: 4.8934\n",
+      " and the parameters are [-2.75621915  3.75377759] -4.886854922965403 ;\n",
+      "Epoch 510/1000, Cost: 2.5056\n",
+      " and the parameters are [-2.75631062  3.75371283] -4.8868868348796655 ;\n",
+      "Epoch 510/1000, Cost: 3.1746\n",
+      " and the parameters are [-2.7563834   3.75367556] -4.8869086572083695 ;\n",
+      "Epoch 510/1000, Cost: 3.8242\n",
+      " and the parameters are [-2.75637365  3.75375999] -4.886870921817801 ;\n",
+      "Epoch 510/1000, Cost: 3.3215\n",
+      " and the parameters are [-2.75641887  3.75377682] -4.886851991637048 ;\n",
+      "Epoch 510/1000, Cost: 3.5296\n",
+      " and the parameters are [-2.75647455  3.75364578] -4.886935346944064 ;\n",
+      "Epoch 510/1000, Cost: 2.4686\n",
+      " and the parameters are [-2.75652201  3.75365553] -4.886914306797232 ;\n",
+      "Epoch 510/1000, Cost: 2.9621\n",
+      " and the parameters are [-2.75649697  3.75359439] -4.886994478386365 ;\n",
+      "Epoch 510/1000, Cost: 4.5066\n",
+      " and the parameters are [-2.75646162  3.75368614] -4.886945963923448 ;\n",
+      "Epoch 510/1000, Cost: 4.7556\n",
+      " and the parameters are [-2.75655041  3.75358314] -4.886999872617462 ;\n",
+      "Epoch 510/1000, Cost: 5.9585\n",
+      " and the parameters are [-2.75656752  3.75344551] -4.88710151474287 ;\n",
+      "Epoch 510/1000, Cost: 3.9580\n",
+      " and the parameters are [-2.75660409  3.75333726] -4.887167702704514 ;\n",
+      "Epoch 510/1000, Cost: 6.3799\n",
+      " and the parameters are [-2.7566181   3.75322789] -4.8872497708435985 ;\n",
+      "Epoch 510/1000, Cost: 2.4852\n",
+      " and the parameters are [-2.75668578  3.75318714] -4.887283716179951 ;\n",
+      "Epoch 510/1000, Cost: 0.6124\n",
+      " and the parameters are [-2.75669784  3.75321741] -4.8872735796500235 ;\n",
+      "Epoch 510/1000, Cost: 2.9589\n",
+      " and the parameters are [-2.75670784  3.75322948] -4.887293997681541 ;\n",
+      "Epoch 510/1000, Cost: 2.9939\n",
+      " and the parameters are [-2.75669817  3.75330653] -4.887266115301644 ;\n",
+      "Epoch 510/1000, Cost: 1.7959\n",
+      " and the parameters are [-2.75669739  3.75337698] -4.887250367109121 ;\n",
+      "Epoch 510/1000, Cost: 4.5731\n",
+      " and the parameters are [-2.75667244  3.75344508] -4.887247667910469 ;\n",
+      "Epoch 510/1000, Cost: 10.9612\n",
+      " and the parameters are [-2.75649437  3.75363907] -4.887146808410048 ;\n",
+      "Epoch 510/1000, Cost: 4.0668\n",
+      " and the parameters are [-2.75648178  3.75372857] -4.887117154853841 ;\n",
+      "Epoch 510/1000, Cost: 3.6219\n",
+      " and the parameters are [-2.75645936  3.75369664] -4.887190245202167 ;\n",
+      "Epoch 510/1000, Cost: 2.8621\n",
+      " and the parameters are [-2.75641659  3.75369904] -4.887241678751378 ;\n",
+      "Epoch 510/1000, Cost: 2.7798\n",
+      " and the parameters are [-2.75636294  3.75373558] -4.887276986230219 ;\n",
+      "Epoch 510/1000, Cost: 2.3260\n",
+      " and the parameters are [-2.75636392  3.75380693] -4.887240113608496 ;\n",
+      "Epoch 510/1000, Cost: 2.9369\n",
+      " and the parameters are [-2.75639217  3.75388686] -4.88719298757921 ;\n",
+      "Epoch 510/1000, Cost: 3.9226\n",
+      " and the parameters are [-2.75641886  3.75381021] -4.887270856033409 ;\n",
+      "Epoch 510/1000, Cost: 2.6724\n",
+      " and the parameters are [-2.75647272  3.75379095] -4.887277292136794 ;\n",
+      "Epoch 510/1000, Cost: 2.9485\n",
+      " and the parameters are [-2.75647807  3.75386238] -4.8872558601239895 ;\n",
+      "Epoch 510/1000, Cost: 0.8364\n",
+      " and the parameters are [-2.75648131  3.75390785] -4.8872451120633436 ;\n",
+      "Epoch 510/1000, Cost: 1.8899\n",
+      " and the parameters are [-2.75648181  3.75391316] -4.887270567398889 ;\n",
+      "Epoch 510/1000, Cost: 2.5709\n",
+      " and the parameters are [-2.75646111  3.75398481] -4.887271556123187 ;\n",
+      "Epoch 510/1000, Cost: 3.8811\n",
+      " and the parameters are [-2.7565328   3.75399852] -4.887241113277632 ;\n",
+      "Epoch 510/1000, Cost: 2.2466\n",
+      " and the parameters are [-2.7565542   3.75394984] -4.887299285236119 ;\n",
+      "Epoch 510/1000, Cost: 4.2221\n",
+      " and the parameters are [-2.75654682  3.75398505] -4.887298573887308 ;\n",
+      "Epoch 510/1000, Cost: 4.3028\n",
+      " and the parameters are [-2.75654899  3.7539803 ] -4.8873343932315585 ;\n",
+      "Epoch 510/1000, Cost: 3.0490\n",
+      " and the parameters are [-2.75654542  3.754014  ] -4.8873515810378345 ;\n",
+      "Epoch 510/1000, Cost: 2.2754\n",
+      " and the parameters are [-2.75656989  3.75395859] -4.887398867443362 ;\n",
+      "Epoch 510/1000, Cost: 2.4896\n",
+      " and the parameters are [-2.75662217  3.75389749] -4.887450520226735 ;\n",
+      "Epoch 510/1000, Cost: 3.0118\n",
+      " and the parameters are [-2.75666093  3.75383885] -4.887507600149246 ;\n",
+      "Epoch 510/1000, Cost: 3.6795\n",
+      " and the parameters are [-2.75670515  3.75376231] -4.887565626255537 ;\n",
+      "Epoch 510/1000, Cost: 2.7755\n",
+      " and the parameters are [-2.75676108  3.75376595] -4.887563950419242 ;\n",
+      "Epoch 510/1000, Cost: 2.3451\n",
+      " and the parameters are [-2.75678738  3.75380268] -4.887560032928041 ;\n",
+      "Epoch 510/1000, Cost: 2.3933\n",
+      " and the parameters are [-2.7568258  3.7538146] -4.887540832598267 ;\n",
+      "Epoch 510/1000, Cost: 3.6623\n",
+      " and the parameters are [-2.75690955  3.75373453] -4.887593637351523 ;\n",
+      "Epoch 510/1000, Cost: 2.5861\n",
+      " and the parameters are [-2.75690948  3.75379842] -4.887580971866077 ;\n",
+      "Epoch 510/1000, Cost: 1.8448\n",
+      " and the parameters are [-2.75687362  3.75381563] -4.887620231340155 ;\n",
+      "Epoch 510/1000, Cost: 1.9135\n",
+      " and the parameters are [-2.75683642  3.75390922] -4.887599016361678 ;\n",
+      "Epoch 510/1000, Cost: 5.0242\n",
+      " and the parameters are [-2.7567518   3.75394543] -4.887646756430955 ;\n",
+      "Epoch 510/1000, Cost: 3.8428\n",
+      " and the parameters are [-2.75678989  3.75389511] -4.887687564166593 ;\n",
+      "Epoch 510/1000, Cost: 1.4967\n",
+      " and the parameters are [-2.75677071  3.75396973] -4.887669427179984 ;\n",
+      "Epoch 510/1000, Cost: 5.4533\n",
+      " and the parameters are [-2.75676673  3.75389093] -4.88773590924652 ;\n",
+      "Epoch 510/1000, Cost: 4.5686\n",
+      " and the parameters are [-2.75671688  3.75389899] -4.887787061186187 ;\n",
+      "Epoch 510/1000, Cost: 2.6150\n",
+      " and the parameters are [-2.75680539  3.75388052] -4.887784524347326 ;\n",
+      "Epoch 510/1000, Cost: 5.2049\n",
+      " and the parameters are [-2.75683526  3.75398286] -4.8877087848426966 ;\n",
+      "Epoch 510/1000, Cost: 1.6621\n",
+      " and the parameters are [-2.75679465  3.75402359] -4.887735625418263 ;\n",
+      "Epoch 510/1000, Cost: 2.9853\n",
+      " and the parameters are [-2.75674184  3.75406912] -4.887761778974865 ;\n",
+      "Epoch 510/1000, Cost: 3.0457\n",
+      " and the parameters are [-2.7567449   3.75420157] -4.887686073468097 ;\n",
+      "Epoch 510/1000, Cost: 1.4300\n",
+      " and the parameters are [-2.75672279  3.75424165] -4.887700408887029 ;\n",
+      "Epoch 510/1000, Cost: 3.3298\n",
+      " and the parameters are [-2.75677942  3.75417235] -4.887766936943551 ;\n",
+      "Epoch 510/1000, Cost: 2.3703\n",
+      " and the parameters are [-2.75680479  3.75420231] -4.887764225777329 ;\n",
+      "Epoch 520/1000, Cost: 2.1698\n",
+      " and the parameters are [-2.77067328  3.77139214] -4.912481110687163 ;\n",
+      "Epoch 520/1000, Cost: 3.4532\n",
+      " and the parameters are [-2.77068072  3.77139315] -4.912513923150959 ;\n",
+      "Epoch 520/1000, Cost: 1.1397\n",
+      " and the parameters are [-2.77069187  3.77140373] -4.912526908358688 ;\n",
+      "Epoch 520/1000, Cost: 10.6091\n",
+      " and the parameters are [-2.77083304  3.77127388] -4.912529804067262 ;\n",
+      "Epoch 520/1000, Cost: 4.1880\n",
+      " and the parameters are [-2.77082423  3.77136999] -4.912492534136365 ;\n",
+      "Epoch 520/1000, Cost: 1.7107\n",
+      " and the parameters are [-2.77079562  3.77144992] -4.9124647795153615 ;\n",
+      "Epoch 520/1000, Cost: 1.7168\n",
+      " and the parameters are [-2.7707952   3.77148542] -4.9124668687206325 ;\n",
+      "Epoch 520/1000, Cost: 3.2615\n",
+      " and the parameters are [-2.7708268   3.77149763] -4.912481148445817 ;\n",
+      "Epoch 520/1000, Cost: 3.5560\n",
+      " and the parameters are [-2.77088385  3.7714808 ] -4.9124906502963634 ;\n",
+      "Epoch 520/1000, Cost: 5.4078\n",
+      " and the parameters are [-2.77084381  3.77154773] -4.912475255607935 ;\n",
+      "Epoch 520/1000, Cost: 2.8962\n",
+      " and the parameters are [-2.77083241  3.77154439] -4.912517835627104 ;\n",
+      "Epoch 520/1000, Cost: 1.6413\n",
+      " and the parameters are [-2.77080008  3.7716399 ] -4.912496880206015 ;\n",
+      "Epoch 520/1000, Cost: 3.6918\n",
+      " and the parameters are [-2.7708375  3.7715391] -4.912551250659443 ;\n",
+      "Epoch 520/1000, Cost: 2.4193\n",
+      " and the parameters are [-2.77085123  3.77152267] -4.9125811065839455 ;\n",
+      "Epoch 520/1000, Cost: 5.6856\n",
+      " and the parameters are [-2.77082556  3.77159333] -4.912562600047835 ;\n",
+      "Epoch 520/1000, Cost: 3.4098\n",
+      " and the parameters are [-2.77075601  3.77165945] -4.912582957540984 ;\n",
+      "Epoch 520/1000, Cost: 2.8779\n",
+      " and the parameters are [-2.77074586  3.77158357] -4.9126681809430695 ;\n",
+      "Epoch 520/1000, Cost: 2.6139\n",
+      " and the parameters are [-2.77077488  3.77157205] -4.912696669155978 ;\n",
+      "Epoch 520/1000, Cost: 3.1236\n",
+      " and the parameters are [-2.77072704  3.77168543] -4.912674793228776 ;\n",
+      "Epoch 520/1000, Cost: 4.3445\n",
+      " and the parameters are [-2.77077977  3.77169663] -4.9126615332521535 ;\n",
+      "Epoch 520/1000, Cost: 4.5164\n",
+      " and the parameters are [-2.77068765  3.77178963] -4.912649488010454 ;\n",
+      "Epoch 520/1000, Cost: 1.9179\n",
+      " and the parameters are [-2.77069297  3.77183868] -4.912645597750537 ;\n",
+      "Epoch 520/1000, Cost: 2.8747\n",
+      " and the parameters are [-2.77069165  3.77182592] -4.912688628292575 ;\n",
+      "Epoch 520/1000, Cost: 3.8900\n",
+      " and the parameters are [-2.77068147  3.77189231] -4.912669627216114 ;\n",
+      "Epoch 520/1000, Cost: 3.1281\n",
+      " and the parameters are [-2.77077166  3.77179935] -4.912706151556024 ;\n",
+      "Epoch 520/1000, Cost: 2.3081\n",
+      " and the parameters are [-2.77078032  3.77180567] -4.912739302635956 ;\n",
+      "Epoch 520/1000, Cost: 4.3243\n",
+      " and the parameters are [-2.77085932  3.77183687] -4.912702803679437 ;\n",
+      "Epoch 520/1000, Cost: 3.0470\n",
+      " and the parameters are [-2.77090169  3.77184845] -4.912706966510312 ;\n",
+      "Epoch 520/1000, Cost: 3.2188\n",
+      " and the parameters are [-2.77093708  3.77182982] -4.912737183880076 ;\n",
+      "Epoch 520/1000, Cost: 4.4780\n",
+      " and the parameters are [-2.77098454  3.77164987] -4.912863559446447 ;\n",
+      "Epoch 520/1000, Cost: 1.8537\n",
+      " and the parameters are [-2.7709655   3.77168068] -4.9128855965220986 ;\n",
+      "Epoch 520/1000, Cost: 2.0568\n",
+      " and the parameters are [-2.77103223  3.77168239] -4.912880949055071 ;\n",
+      "Epoch 520/1000, Cost: 1.7214\n",
+      " and the parameters are [-2.77105134  3.77163202] -4.912942228375992 ;\n",
+      "Epoch 520/1000, Cost: 4.4511\n",
+      " and the parameters are [-2.77106181  3.77162004] -4.912975812000369 ;\n",
+      "Epoch 520/1000, Cost: 3.1628\n",
+      " and the parameters are [-2.77112715  3.7716026 ] -4.912982497443604 ;\n",
+      "Epoch 520/1000, Cost: 5.6484\n",
+      " and the parameters are [-2.77119532  3.77164335] -4.912933351451552 ;\n",
+      "Epoch 520/1000, Cost: 4.3106\n",
+      " and the parameters are [-2.77130617  3.77149338] -4.912995329165229 ;\n",
+      "Epoch 520/1000, Cost: 6.4782\n",
+      " and the parameters are [-2.77130491  3.77138412] -4.913067256240911 ;\n",
+      "Epoch 520/1000, Cost: 2.7823\n",
+      " and the parameters are [-2.77129363  3.77149905] -4.913033129850107 ;\n",
+      "Epoch 520/1000, Cost: 4.4204\n",
+      " and the parameters are [-2.77123175  3.7714226 ] -4.913140029985517 ;\n",
+      "Epoch 520/1000, Cost: 0.8530\n",
+      " and the parameters are [-2.77122159  3.77144917] -4.913147115570525 ;\n",
+      "Epoch 520/1000, Cost: 4.8789\n",
+      " and the parameters are [-2.77116184  3.7715005 ] -4.9131533268938155 ;\n",
+      "Epoch 520/1000, Cost: 6.2318\n",
+      " and the parameters are [-2.77110028  3.77151451] -4.913178824425152 ;\n",
+      "Epoch 520/1000, Cost: 3.0104\n",
+      " and the parameters are [-2.77108022  3.77162423] -4.913148104984058 ;\n",
+      "Epoch 520/1000, Cost: 2.8139\n",
+      " and the parameters are [-2.77110511  3.77173898] -4.913069736429005 ;\n",
+      "Epoch 520/1000, Cost: 3.1207\n",
+      " and the parameters are [-2.77107581  3.77186832] -4.913013089148979 ;\n",
+      "Epoch 520/1000, Cost: 5.5716\n",
+      " and the parameters are [-2.77111654  3.7717068 ] -4.913113335690243 ;\n",
+      "Epoch 520/1000, Cost: 1.6427\n",
+      " and the parameters are [-2.77117504  3.77168681] -4.913122030172532 ;\n",
+      "Epoch 520/1000, Cost: 3.2316\n",
+      " and the parameters are [-2.77124688  3.77162363] -4.913160347990227 ;\n",
+      "Epoch 520/1000, Cost: 1.0903\n",
+      " and the parameters are [-2.77125613  3.77164291] -4.913165828634838 ;\n",
+      "Epoch 520/1000, Cost: 2.5337\n",
+      " and the parameters are [-2.77127357  3.77169325] -4.913153450571772 ;\n",
+      "Epoch 520/1000, Cost: 2.2542\n",
+      " and the parameters are [-2.77128981  3.77170976] -4.913164195251309 ;\n",
+      "Epoch 520/1000, Cost: 3.1862\n",
+      " and the parameters are [-2.77131486  3.77162605] -4.91323896950262 ;\n",
+      "Epoch 520/1000, Cost: 1.1485\n",
+      " and the parameters are [-2.7713213   3.77165205] -4.9132411749347895 ;\n",
+      "Epoch 520/1000, Cost: 4.2465\n",
+      " and the parameters are [-2.771327    3.77163675] -4.9132634125872405 ;\n",
+      "Epoch 520/1000, Cost: 4.3522\n",
+      " and the parameters are [-2.77127631  3.77169942] -4.913239408045867 ;\n",
+      "Epoch 520/1000, Cost: 5.9021\n",
+      " and the parameters are [-2.77130373  3.77163431] -4.913263242789602 ;\n",
+      "Epoch 520/1000, Cost: 2.6174\n",
+      " and the parameters are [-2.77127637  3.77166928] -4.913274892741872 ;\n",
+      "Epoch 520/1000, Cost: 2.3769\n",
+      " and the parameters are [-2.77128995  3.7717069 ] -4.913274142453269 ;\n",
+      "Epoch 520/1000, Cost: 3.2092\n",
+      " and the parameters are [-2.77122391  3.77174268] -4.913310212448105 ;\n",
+      "Epoch 520/1000, Cost: 7.2051\n",
+      " and the parameters are [-2.77122562  3.77159247] -4.913427469877628 ;\n",
+      "Epoch 520/1000, Cost: 3.2416\n",
+      " and the parameters are [-2.77130693  3.77161887] -4.913400913700757 ;\n",
+      "Epoch 520/1000, Cost: 3.5371\n",
+      " and the parameters are [-2.77127775  3.7716738 ] -4.9134242274975 ;\n",
+      "Epoch 520/1000, Cost: 2.3231\n",
+      " and the parameters are [-2.77126226  3.77182265] -4.91334554137778 ;\n",
+      "Epoch 520/1000, Cost: 2.3338\n",
+      " and the parameters are [-2.77132926  3.77179929] -4.913353176345925 ;\n",
+      "Epoch 520/1000, Cost: 5.2256\n",
+      " and the parameters are [-2.77136168  3.77177273] -4.913355026855854 ;\n",
+      "Epoch 520/1000, Cost: 3.8938\n",
+      " and the parameters are [-2.77138323  3.77180904] -4.91334050741871 ;\n",
+      "Epoch 520/1000, Cost: 2.4073\n",
+      " and the parameters are [-2.77136473  3.77192021] -4.913303642221888 ;\n",
+      "Epoch 520/1000, Cost: 3.9558\n",
+      " and the parameters are [-2.7713059   3.77203977] -4.913290581922106 ;\n",
+      "Epoch 520/1000, Cost: 0.8596\n",
+      " and the parameters are [-2.77130422  3.77209201] -4.913274394898576 ;\n",
+      "Epoch 520/1000, Cost: 5.6124\n",
+      " and the parameters are [-2.77138509  3.77199508] -4.913325507139841 ;\n",
+      "Epoch 520/1000, Cost: 2.2996\n",
+      " and the parameters are [-2.77136235  3.77204767] -4.913333785380912 ;\n",
+      "Epoch 520/1000, Cost: 2.3413\n",
+      " and the parameters are [-2.77137126  3.77216177] -4.913269059099225 ;\n",
+      "Epoch 520/1000, Cost: 2.7705\n",
+      " and the parameters are [-2.77134956  3.77225748] -4.913238748754495 ;\n",
+      "Epoch 520/1000, Cost: 1.8147\n",
+      " and the parameters are [-2.7713517   3.77229592] -4.913247190139386 ;\n",
+      "Epoch 520/1000, Cost: 4.0928\n",
+      " and the parameters are [-2.77138674  3.77234556] -4.913218472475921 ;\n",
+      "Epoch 520/1000, Cost: 3.0656\n",
+      " and the parameters are [-2.77126757  3.77240148] -4.91327291301867 ;\n",
+      "Epoch 520/1000, Cost: 6.4987\n",
+      " and the parameters are [-2.77121433  3.77237279] -4.913341936564047 ;\n",
+      "Epoch 520/1000, Cost: 3.2333\n",
+      " and the parameters are [-2.77125648  3.77229611] -4.913408044237235 ;\n",
+      "Epoch 520/1000, Cost: 9.0324\n",
+      " and the parameters are [-2.77122015  3.77218816] -4.913499727854881 ;\n",
+      "Epoch 520/1000, Cost: 5.0278\n",
+      " and the parameters are [-2.77115263  3.77219945] -4.9135305547832235 ;\n",
+      "Epoch 520/1000, Cost: 1.5092\n",
+      " and the parameters are [-2.77110394  3.77230827] -4.913494602100089 ;\n",
+      "Epoch 520/1000, Cost: 2.5437\n",
+      " and the parameters are [-2.77109666  3.77241934] -4.913435393841631 ;\n",
+      "Epoch 520/1000, Cost: 2.0364\n",
+      " and the parameters are [-2.77109764  3.77239663] -4.913487763200839 ;\n",
+      "Epoch 520/1000, Cost: 3.5547\n",
+      " and the parameters are [-2.77117046  3.772444  ] -4.9134311660740755 ;\n",
+      "Epoch 520/1000, Cost: 1.2326\n",
+      " and the parameters are [-2.77119683  3.77241957] -4.913464249891895 ;\n",
+      "Epoch 520/1000, Cost: 0.9070\n",
+      " and the parameters are [-2.77120587  3.77245247] -4.913455165872507 ;\n",
+      "Epoch 520/1000, Cost: 1.7714\n",
+      " and the parameters are [-2.77128676  3.77245064] -4.9134374782100245 ;\n",
+      "Epoch 520/1000, Cost: 1.7014\n",
+      " and the parameters are [-2.77126456  3.77249344] -4.913441507999727 ;\n",
+      "Epoch 520/1000, Cost: 2.1893\n",
+      " and the parameters are [-2.77132988  3.77254062] -4.913406593100689 ;\n",
+      "Epoch 520/1000, Cost: 4.4649\n",
+      " and the parameters are [-2.77133961  3.77246197] -4.9134782834536415 ;\n",
+      "Epoch 520/1000, Cost: 3.3076\n",
+      " and the parameters are [-2.77131437  3.77247125] -4.91352594740152 ;\n",
+      "Epoch 520/1000, Cost: 2.0050\n",
+      " and the parameters are [-2.77130846  3.77249207] -4.913550373290938 ;\n",
+      "Epoch 520/1000, Cost: 3.7996\n",
+      " and the parameters are [-2.77129733  3.77258299] -4.913524810017263 ;\n",
+      "Epoch 520/1000, Cost: 3.9394\n",
+      " and the parameters are [-2.77138791  3.77244087] -4.913596048541185 ;\n",
+      "Epoch 520/1000, Cost: 4.3636\n",
+      " and the parameters are [-2.77136805  3.77239116] -4.913653983248282 ;\n",
+      "Epoch 520/1000, Cost: 4.3521\n",
+      " and the parameters are [-2.77145118  3.77235149] -4.913664264416101 ;\n",
+      "Epoch 520/1000, Cost: 1.5691\n",
+      " and the parameters are [-2.77144171  3.77240963] -4.913655440232874 ;\n",
+      "Epoch 520/1000, Cost: 2.4001\n",
+      " and the parameters are [-2.77150455  3.77237981] -4.913672361092506 ;\n",
+      "Epoch 520/1000, Cost: 4.9883\n",
+      " and the parameters are [-2.77145844  3.77254456] -4.913597471972269 ;\n",
+      "Epoch 520/1000, Cost: 1.4129\n",
+      " and the parameters are [-2.7714682   3.77259332] -4.913584179108611 ;\n",
+      "Epoch 520/1000, Cost: 1.9381\n",
+      " and the parameters are [-2.77145819  3.77264953] -4.913588428083708 ;\n",
+      "Epoch 520/1000, Cost: 4.3314\n",
+      " and the parameters are [-2.77150204  3.77258842] -4.913611843392421 ;\n",
+      "Epoch 520/1000, Cost: 2.2548\n",
+      " and the parameters are [-2.77154038  3.77259309] -4.91361998162513 ;\n",
+      "Epoch 520/1000, Cost: 0.9160\n",
+      " and the parameters are [-2.77155239  3.77259515] -4.913637301450182 ;\n",
+      "Epoch 520/1000, Cost: 3.0264\n",
+      " and the parameters are [-2.7715647   3.77264417] -4.913620392488546 ;\n",
+      "Epoch 520/1000, Cost: 6.0081\n",
+      " and the parameters are [-2.77157     3.77246442] -4.913762551954212 ;\n",
+      "Epoch 520/1000, Cost: 7.1676\n",
+      " and the parameters are [-2.7715342   3.77250053] -4.913724632822636 ;\n",
+      "Epoch 520/1000, Cost: 4.4172\n",
+      " and the parameters are [-2.77154192  3.77252883] -4.9137207377306655 ;\n",
+      "Epoch 520/1000, Cost: 2.3007\n",
+      " and the parameters are [-2.7715025  3.7725806] -4.913730824335818 ;\n",
+      "Epoch 520/1000, Cost: 3.7616\n",
+      " and the parameters are [-2.77164483  3.77244005] -4.913774090432936 ;\n",
+      "Epoch 520/1000, Cost: 1.7353\n",
+      " and the parameters are [-2.77168247  3.7724448 ] -4.913779488091842 ;\n",
+      "Epoch 520/1000, Cost: 1.4019\n",
+      " and the parameters are [-2.77165242  3.77249038] -4.913791622772768 ;\n",
+      "Epoch 520/1000, Cost: 2.6546\n",
+      " and the parameters are [-2.77169971  3.77253842] -4.913763672566212 ;\n",
+      "Epoch 520/1000, Cost: 1.6788\n",
+      " and the parameters are [-2.77169167  3.77260379] -4.913754494527178 ;\n",
+      "Epoch 520/1000, Cost: 3.5074\n",
+      " and the parameters are [-2.77172935  3.77246526] -4.913850427130779 ;\n",
+      "Epoch 520/1000, Cost: 2.3469\n",
+      " and the parameters are [-2.77175656  3.77243511] -4.913884288866287 ;\n",
+      "Epoch 520/1000, Cost: 4.3385\n",
+      " and the parameters are [-2.77177605  3.77238003] -4.913924347402115 ;\n",
+      "Epoch 520/1000, Cost: 1.4565\n",
+      " and the parameters are [-2.77178699  3.77240819] -4.9139278192186735 ;\n",
+      "Epoch 520/1000, Cost: 3.8049\n",
+      " and the parameters are [-2.77175622  3.7723425 ] -4.914020270744714 ;\n",
+      "Epoch 520/1000, Cost: 7.1896\n",
+      " and the parameters are [-2.77182773  3.77226139] -4.9140546775338985 ;\n",
+      "Epoch 520/1000, Cost: 4.2544\n",
+      " and the parameters are [-2.77177     3.77230898] -4.9140822230228105 ;\n",
+      "Epoch 520/1000, Cost: 1.7358\n",
+      " and the parameters are [-2.77180382  3.77230576] -4.914100223168053 ;\n",
+      "Epoch 520/1000, Cost: 1.4190\n",
+      " and the parameters are [-2.77180384  3.77236818] -4.914088694596064 ;\n",
+      "Epoch 520/1000, Cost: 2.0419\n",
+      " and the parameters are [-2.77182306  3.77238848] -4.9140912346121 ;\n",
+      "Epoch 520/1000, Cost: 3.8809\n",
+      " and the parameters are [-2.77184815  3.77246034] -4.9140438538629505 ;\n",
+      "Epoch 520/1000, Cost: 4.5900\n",
+      " and the parameters are [-2.7718396   3.77241908] -4.9140999256703655 ;\n",
+      "Epoch 520/1000, Cost: 2.6377\n",
+      " and the parameters are [-2.77184102  3.77240025] -4.914148043187033 ;\n",
+      "Epoch 520/1000, Cost: 1.7975\n",
+      " and the parameters are [-2.77182875  3.77238112] -4.914202169301936 ;\n",
+      "Epoch 520/1000, Cost: 3.0584\n",
+      " and the parameters are [-2.7718113   3.77247468] -4.914158949833767 ;\n",
+      "Epoch 520/1000, Cost: 2.7560\n",
+      " and the parameters are [-2.77181677  3.77249893] -4.914175690793433 ;\n",
+      "Epoch 520/1000, Cost: 5.1688\n",
+      " and the parameters are [-2.77172021  3.77242331] -4.914284601925595 ;\n",
+      "Epoch 520/1000, Cost: 2.8542\n",
+      " and the parameters are [-2.77178661  3.77236602] -4.9143287504553115 ;\n",
+      "Epoch 520/1000, Cost: 1.5653\n",
+      " and the parameters are [-2.77179409  3.7723778 ] -4.914346097938461 ;\n",
+      "Epoch 520/1000, Cost: 1.1801\n",
+      " and the parameters are [-2.77179199  3.77239017] -4.914365063169426 ;\n",
+      "Epoch 520/1000, Cost: 4.2052\n",
+      " and the parameters are [-2.77179095  3.77245941] -4.914335618939757 ;\n",
+      "Epoch 520/1000, Cost: 2.0610\n",
+      " and the parameters are [-2.77175331  3.77253073] -4.914328531918544 ;\n",
+      "Epoch 520/1000, Cost: 2.0890\n",
+      " and the parameters are [-2.77178892  3.77244982] -4.9143835792891 ;\n",
+      "Epoch 520/1000, Cost: 4.4251\n",
+      " and the parameters are [-2.77167861  3.77256037] -4.9143704707069915 ;\n",
+      "Epoch 520/1000, Cost: 3.3522\n",
+      " and the parameters are [-2.77167911  3.77267081] -4.914311520950108 ;\n",
+      "Epoch 520/1000, Cost: 3.3354\n",
+      " and the parameters are [-2.77167575  3.77279134] -4.914238844413411 ;\n",
+      "Epoch 520/1000, Cost: 4.6746\n",
+      " and the parameters are [-2.77172565  3.77275377] -4.914258349750391 ;\n",
+      "Epoch 520/1000, Cost: 8.8525\n",
+      " and the parameters are [-2.77182037  3.77270021] -4.914229541699984 ;\n",
+      "Epoch 520/1000, Cost: 2.2277\n",
+      " and the parameters are [-2.77188125  3.77267614] -4.914235951210241 ;\n",
+      "Epoch 520/1000, Cost: 2.1969\n",
+      " and the parameters are [-2.77186959  3.77269672] -4.91425875496616 ;\n",
+      "Epoch 520/1000, Cost: 2.3359\n",
+      " and the parameters are [-2.77187901  3.77277399] -4.914233779822804 ;\n",
+      "Epoch 520/1000, Cost: 2.9088\n",
+      " and the parameters are [-2.77181511  3.77278047] -4.914293975216835 ;\n",
+      "Epoch 520/1000, Cost: 6.0375\n",
+      " and the parameters are [-2.77176837  3.77286819] -4.914254596489176 ;\n",
+      "Epoch 520/1000, Cost: 3.1867\n",
+      " and the parameters are [-2.77173651  3.77287897] -4.914294402317245 ;\n",
+      "Epoch 520/1000, Cost: 2.5506\n",
+      " and the parameters are [-2.77173703  3.77292789] -4.9142865426751285 ;\n",
+      "Epoch 520/1000, Cost: 3.9800\n",
+      " and the parameters are [-2.77174859  3.77289297] -4.914341675758352 ;\n",
+      "Epoch 520/1000, Cost: 3.7958\n",
+      " and the parameters are [-2.77172541  3.77300672] -4.914312416488614 ;\n",
+      "Epoch 520/1000, Cost: 1.2130\n",
+      " and the parameters are [-2.77173461  3.77300684] -4.914333588944034 ;\n",
+      "Epoch 520/1000, Cost: 5.9773\n",
+      " and the parameters are [-2.77182042  3.77286247] -4.914420109761728 ;\n",
+      "Epoch 520/1000, Cost: 3.4397\n",
+      " and the parameters are [-2.77181942  3.77291102] -4.914430079964163 ;\n",
+      "Epoch 520/1000, Cost: 2.1229\n",
+      " and the parameters are [-2.77183851  3.77289657] -4.914457796319479 ;\n",
+      "Epoch 520/1000, Cost: 4.3924\n",
+      " and the parameters are [-2.77190917  3.7728334 ] -4.914497662015082 ;\n",
+      "Epoch 520/1000, Cost: 3.3217\n",
+      " and the parameters are [-2.77194717  3.77290354] -4.9144578001367085 ;\n",
+      "Epoch 520/1000, Cost: 3.6304\n",
+      " and the parameters are [-2.77200191  3.77273899] -4.914570435430248 ;\n",
+      "Epoch 520/1000, Cost: 1.7397\n",
+      " and the parameters are [-2.77200472  3.77281685] -4.914547772778908 ;\n",
+      "Epoch 520/1000, Cost: 2.4008\n",
+      " and the parameters are [-2.77198654  3.77287165] -4.914546525452435 ;\n",
+      "Epoch 520/1000, Cost: 4.3000\n",
+      " and the parameters are [-2.77197537  3.77289916] -4.914556877095428 ;\n",
+      "Epoch 520/1000, Cost: 1.3412\n",
+      " and the parameters are [-2.77197733  3.77292932] -4.914563475883054 ;\n",
+      "Epoch 520/1000, Cost: 1.1640\n",
+      " and the parameters are [-2.77200032  3.77294415] -4.9145667067165455 ;\n",
+      "Epoch 520/1000, Cost: 3.0689\n",
+      " and the parameters are [-2.77203946  3.77298875] -4.914544605923586 ;\n",
+      "Epoch 520/1000, Cost: 4.0007\n",
+      " and the parameters are [-2.77205376  3.77313607] -4.914452660066055 ;\n",
+      "Epoch 520/1000, Cost: 3.0079\n",
+      " and the parameters are [-2.77205588  3.77304951] -4.914544404668171 ;\n",
+      "Epoch 520/1000, Cost: 3.5577\n",
+      " and the parameters are [-2.77206199  3.77302141] -4.914589723740424 ;\n",
+      "Epoch 520/1000, Cost: 3.6339\n",
+      " and the parameters are [-2.77203855  3.77305603] -4.914598827767921 ;\n",
+      "Epoch 520/1000, Cost: 2.7124\n",
+      " and the parameters are [-2.77201984  3.77307598] -4.914633317044885 ;\n",
+      "Epoch 520/1000, Cost: 6.3473\n",
+      " and the parameters are [-2.77205372  3.77302216] -4.914658315195753 ;\n",
+      "Epoch 520/1000, Cost: 2.7266\n",
+      " and the parameters are [-2.77209245  3.7730732 ] -4.914631495632309 ;\n",
+      "Epoch 520/1000, Cost: 2.7502\n",
+      " and the parameters are [-2.77209579  3.77303358] -4.914690918081979 ;\n",
+      "Epoch 520/1000, Cost: 3.5920\n",
+      " and the parameters are [-2.77213484  3.77295892] -4.914757821656832 ;\n",
+      "Epoch 520/1000, Cost: 2.3343\n",
+      " and the parameters are [-2.77214718  3.77297858] -4.914780087359302 ;\n",
+      "Epoch 520/1000, Cost: 2.9591\n",
+      " and the parameters are [-2.77218892  3.77285511] -4.914870181271366 ;\n",
+      "Epoch 520/1000, Cost: 2.4374\n",
+      " and the parameters are [-2.77217565  3.77283172] -4.914937075885135 ;\n",
+      "Epoch 520/1000, Cost: 1.8222\n",
+      " and the parameters are [-2.77213444  3.77294086] -4.9148979803044535 ;\n",
+      "Epoch 520/1000, Cost: 1.7633\n",
+      " and the parameters are [-2.7721352   3.77294525] -4.914922543393299 ;\n",
+      "Epoch 520/1000, Cost: 3.2682\n",
+      " and the parameters are [-2.77215804  3.77300065] -4.914904226112651 ;\n",
+      "Epoch 520/1000, Cost: 3.2504\n",
+      " and the parameters are [-2.77218192  3.77296216] -4.914938957359292 ;\n",
+      "Epoch 520/1000, Cost: 3.1935\n",
+      " and the parameters are [-2.7721995   3.77300511] -4.914925381617412 ;\n",
+      "Epoch 520/1000, Cost: 3.4360\n",
+      " and the parameters are [-2.77222321  3.77301504] -4.914920962721203 ;\n",
+      "Epoch 520/1000, Cost: 3.3636\n",
+      " and the parameters are [-2.77230749  3.77290733] -4.914991663583932 ;\n",
+      "Epoch 520/1000, Cost: 4.5017\n",
+      " and the parameters are [-2.77224007  3.77289928] -4.915049101206453 ;\n",
+      "Epoch 520/1000, Cost: 2.1047\n",
+      " and the parameters are [-2.7722174   3.77289354] -4.915086577338114 ;\n",
+      "Epoch 520/1000, Cost: 2.3784\n",
+      " and the parameters are [-2.7721987   3.77292026] -4.915108411086786 ;\n",
+      "Epoch 520/1000, Cost: 2.7329\n",
+      " and the parameters are [-2.77215219  3.77295949] -4.915129871433062 ;\n",
+      "Epoch 520/1000, Cost: 2.5497\n",
+      " and the parameters are [-2.77216426  3.77302033] -4.9151178568962655 ;\n",
+      "Epoch 520/1000, Cost: 4.1240\n",
+      " and the parameters are [-2.77209354  3.77316516] -4.915077485002034 ;\n",
+      "Epoch 520/1000, Cost: 2.5596\n",
+      " and the parameters are [-2.77212733  3.77322061] -4.915044505935062 ;\n",
+      "Epoch 520/1000, Cost: 3.6106\n",
+      " and the parameters are [-2.77219273  3.773133  ] -4.915088894710573 ;\n",
+      "Epoch 520/1000, Cost: 5.4024\n",
+      " and the parameters are [-2.77213344  3.77307133] -4.915193925882675 ;\n",
+      "Epoch 520/1000, Cost: 5.6455\n",
+      " and the parameters are [-2.77208242  3.77312751] -4.9151717926377465 ;\n",
+      "Epoch 520/1000, Cost: 2.9066\n",
+      " and the parameters are [-2.77208613  3.77305738] -4.915241711367292 ;\n",
+      "Epoch 520/1000, Cost: 3.6550\n",
+      " and the parameters are [-2.7721357   3.77311499] -4.915190986925671 ;\n",
+      "Epoch 520/1000, Cost: 3.3598\n",
+      " and the parameters are [-2.77210434  3.77319375] -4.915171148605222 ;\n",
+      "Epoch 520/1000, Cost: 4.3795\n",
+      " and the parameters are [-2.77213655  3.77320248] -4.9151786447000525 ;\n",
+      "Epoch 520/1000, Cost: 1.8505\n",
+      " and the parameters are [-2.77216406  3.77319557] -4.915206148442933 ;\n",
+      "Epoch 520/1000, Cost: 3.7913\n",
+      " and the parameters are [-2.77219055  3.77326996] -4.91517309853706 ;\n",
+      "Epoch 530/1000, Cost: 1.9929\n",
+      " and the parameters are [-2.78581084  3.79022222] -4.93939007522311 ;\n",
+      "Epoch 530/1000, Cost: 4.2672\n",
+      " and the parameters are [-2.78585369  3.79015477] -4.93945243491439 ;\n",
+      "Epoch 530/1000, Cost: 5.7615\n",
+      " and the parameters are [-2.78599043  3.79010941] -4.939418559062725 ;\n",
+      "Epoch 530/1000, Cost: 2.8925\n",
+      " and the parameters are [-2.7860163   3.79000213] -4.939513384460929 ;\n",
+      "Epoch 530/1000, Cost: 1.9261\n",
+      " and the parameters are [-2.78603262  3.79001255] -4.939529996823639 ;\n",
+      "Epoch 530/1000, Cost: 6.5262\n",
+      " and the parameters are [-2.78619389  3.78970473] -4.939703559550528 ;\n",
+      "Epoch 530/1000, Cost: 3.1618\n",
+      " and the parameters are [-2.78621226  3.78968506] -4.939739763575948 ;\n",
+      "Epoch 530/1000, Cost: 2.8564\n",
+      " and the parameters are [-2.78616863  3.78974372] -4.939746914242483 ;\n",
+      "Epoch 530/1000, Cost: 1.3454\n",
+      " and the parameters are [-2.78618938  3.78976801] -4.93974811965532 ;\n",
+      "Epoch 530/1000, Cost: 1.8154\n",
+      " and the parameters are [-2.78618153  3.78980023] -4.939760449381737 ;\n",
+      "Epoch 530/1000, Cost: 5.2197\n",
+      " and the parameters are [-2.78624874  3.78970379] -4.9398405777856285 ;\n",
+      "Epoch 530/1000, Cost: 2.2979\n",
+      " and the parameters are [-2.78625173  3.78974595] -4.939843690344274 ;\n",
+      "Epoch 530/1000, Cost: 3.1900\n",
+      " and the parameters are [-2.78633452  3.78979545] -4.939784043909665 ;\n",
+      "Epoch 530/1000, Cost: 4.7183\n",
+      " and the parameters are [-2.78645281  3.78970431] -4.939812556113282 ;\n",
+      "Epoch 530/1000, Cost: 6.3756\n",
+      " and the parameters are [-2.78634022  3.7897627 ] -4.939833921335184 ;\n",
+      "Epoch 530/1000, Cost: 3.3957\n",
+      " and the parameters are [-2.78633636  3.789857  ] -4.93978394190326 ;\n",
+      "Epoch 530/1000, Cost: 2.6176\n",
+      " and the parameters are [-2.78636319  3.78984252] -4.9398163238124235 ;\n",
+      "Epoch 530/1000, Cost: 2.4053\n",
+      " and the parameters are [-2.78635508  3.78982238] -4.9398773777992355 ;\n",
+      "Epoch 530/1000, Cost: 4.2502\n",
+      " and the parameters are [-2.7862818   3.78978261] -4.9399654066917495 ;\n",
+      "Epoch 530/1000, Cost: 5.8634\n",
+      " and the parameters are [-2.78622377  3.78995432] -4.939871007330529 ;\n",
+      "Epoch 530/1000, Cost: 2.3204\n",
+      " and the parameters are [-2.78619709  3.78999561] -4.939875052913962 ;\n",
+      "Epoch 530/1000, Cost: 0.8109\n",
+      " and the parameters are [-2.78619587  3.79004022] -4.939868142241053 ;\n",
+      "Epoch 530/1000, Cost: 3.2233\n",
+      " and the parameters are [-2.78615022  3.79016752] -4.93981633190532 ;\n",
+      "Epoch 530/1000, Cost: 1.8411\n",
+      " and the parameters are [-2.78611795  3.79026276] -4.939788325951171 ;\n",
+      "Epoch 530/1000, Cost: 4.5120\n",
+      " and the parameters are [-2.78616602  3.79032443] -4.9397378101623515 ;\n",
+      "Epoch 530/1000, Cost: 2.4363\n",
+      " and the parameters are [-2.78614728  3.79041683] -4.9397162961255106 ;\n",
+      "Epoch 530/1000, Cost: 3.5901\n",
+      " and the parameters are [-2.78620871  3.79042872] -4.939700351009789 ;\n",
+      "Epoch 530/1000, Cost: 5.0852\n",
+      " and the parameters are [-2.78630589  3.79034804] -4.939710971409179 ;\n",
+      "Epoch 530/1000, Cost: 2.6182\n",
+      " and the parameters are [-2.78634742  3.79037262] -4.939710885562417 ;\n",
+      "Epoch 530/1000, Cost: 2.3361\n",
+      " and the parameters are [-2.78641171  3.79037187] -4.939705390757152 ;\n",
+      "Epoch 530/1000, Cost: 2.3378\n",
+      " and the parameters are [-2.78645029  3.79039735] -4.939697152263653 ;\n",
+      "Epoch 530/1000, Cost: 3.3522\n",
+      " and the parameters are [-2.78650361  3.79029136] -4.939782904292733 ;\n",
+      "Epoch 530/1000, Cost: 2.2161\n",
+      " and the parameters are [-2.78650151  3.79032312] -4.939787241766276 ;\n",
+      "Epoch 530/1000, Cost: 2.7829\n",
+      " and the parameters are [-2.7864795   3.79034485] -4.939804383012782 ;\n",
+      "Epoch 530/1000, Cost: 5.5061\n",
+      " and the parameters are [-2.78647152  3.79027411] -4.939873764897311 ;\n",
+      "Epoch 530/1000, Cost: 2.4743\n",
+      " and the parameters are [-2.78644786  3.79039968] -4.9398243337788985 ;\n",
+      "Epoch 530/1000, Cost: 4.2879\n",
+      " and the parameters are [-2.78641562  3.7904488 ] -4.939844371293524 ;\n",
+      "Epoch 530/1000, Cost: 2.8381\n",
+      " and the parameters are [-2.78640301  3.79059391] -4.939772349152185 ;\n",
+      "Epoch 530/1000, Cost: 1.6847\n",
+      " and the parameters are [-2.78642629  3.79063108] -4.939764885523566 ;\n",
+      "Epoch 530/1000, Cost: 1.6782\n",
+      " and the parameters are [-2.78642861  3.79060845] -4.939805211159982 ;\n",
+      "Epoch 530/1000, Cost: 2.4553\n",
+      " and the parameters are [-2.786353    3.79068217] -4.939815525241911 ;\n",
+      "Epoch 530/1000, Cost: 2.0254\n",
+      " and the parameters are [-2.78636     3.79074281] -4.939793366229565 ;\n",
+      "Epoch 530/1000, Cost: 3.0809\n",
+      " and the parameters are [-2.78635258  3.79084041] -4.939755712812717 ;\n",
+      "Epoch 530/1000, Cost: 6.7692\n",
+      " and the parameters are [-2.78630995  3.79086454] -4.939747236701145 ;\n",
+      "Epoch 530/1000, Cost: 1.2351\n",
+      " and the parameters are [-2.78630497  3.7909211 ] -4.9397365517593945 ;\n",
+      "Epoch 530/1000, Cost: 3.3235\n",
+      " and the parameters are [-2.78633775  3.79097933] -4.939681028394209 ;\n",
+      "Epoch 530/1000, Cost: 2.4858\n",
+      " and the parameters are [-2.78634632  3.79107487] -4.939635237465537 ;\n",
+      "Epoch 530/1000, Cost: 1.4525\n",
+      " and the parameters are [-2.78636972  3.79110402] -4.939630650337994 ;\n",
+      "Epoch 530/1000, Cost: 2.8375\n",
+      " and the parameters are [-2.78640046  3.79106735] -4.93968353048409 ;\n",
+      "Epoch 530/1000, Cost: 1.9854\n",
+      " and the parameters are [-2.78638049  3.79113961] -4.93966792383473 ;\n",
+      "Epoch 530/1000, Cost: 7.1100\n",
+      " and the parameters are [-2.78655773  3.79098133] -4.939680826792659 ;\n",
+      "Epoch 530/1000, Cost: 2.8908\n",
+      " and the parameters are [-2.78648328  3.79102947] -4.9397174679966875 ;\n",
+      "Epoch 530/1000, Cost: 4.2922\n",
+      " and the parameters are [-2.78645412  3.79100319] -4.939777298297537 ;\n",
+      "Epoch 530/1000, Cost: 3.3432\n",
+      " and the parameters are [-2.78641101  3.79094418] -4.939843938040805 ;\n",
+      "Epoch 530/1000, Cost: 3.8034\n",
+      " and the parameters are [-2.78641623  3.79084647] -4.93993613141302 ;\n",
+      "Epoch 530/1000, Cost: 1.3914\n",
+      " and the parameters are [-2.78641141  3.79085169] -4.9399650722528 ;\n",
+      "Epoch 530/1000, Cost: 0.9508\n",
+      " and the parameters are [-2.7864013  3.7908744] -4.939981053554682 ;\n",
+      "Epoch 530/1000, Cost: 1.9139\n",
+      " and the parameters are [-2.7863995   3.79086356] -4.9400189053362205 ;\n",
+      "Epoch 530/1000, Cost: 2.8279\n",
+      " and the parameters are [-2.78644088  3.79082815] -4.9400525533871384 ;\n",
+      "Epoch 530/1000, Cost: 2.2253\n",
+      " and the parameters are [-2.78640868  3.79090246] -4.940056559976188 ;\n",
+      "Epoch 530/1000, Cost: 1.1694\n",
+      " and the parameters are [-2.78638875  3.79095424] -4.940054919978052 ;\n",
+      "Epoch 530/1000, Cost: 2.7660\n",
+      " and the parameters are [-2.78645272  3.7909073 ] -4.940071796324173 ;\n",
+      "Epoch 530/1000, Cost: 4.5416\n",
+      " and the parameters are [-2.78640819  3.79099701] -4.940055406699822 ;\n",
+      "Epoch 530/1000, Cost: 5.2084\n",
+      " and the parameters are [-2.78646797  3.79097453] -4.940058423256193 ;\n",
+      "Epoch 530/1000, Cost: 2.7329\n",
+      " and the parameters are [-2.78645748  3.79104042] -4.940050583952898 ;\n",
+      "Epoch 530/1000, Cost: 5.9134\n",
+      " and the parameters are [-2.78638441  3.79110827] -4.940032596779649 ;\n",
+      "Epoch 530/1000, Cost: 2.8361\n",
+      " and the parameters are [-2.78637058  3.79107128] -4.940092227708196 ;\n",
+      "Epoch 530/1000, Cost: 2.8534\n",
+      " and the parameters are [-2.78640018  3.79097546] -4.940178486038964 ;\n",
+      "Epoch 530/1000, Cost: 2.2147\n",
+      " and the parameters are [-2.78635189  3.7910809 ] -4.940145928320323 ;\n",
+      "Epoch 530/1000, Cost: 5.4712\n",
+      " and the parameters are [-2.78640335  3.79097578] -4.94019568618773 ;\n",
+      "Epoch 530/1000, Cost: 2.3504\n",
+      " and the parameters are [-2.78639426  3.79095655] -4.940229979671307 ;\n",
+      "Epoch 530/1000, Cost: 3.1273\n",
+      " and the parameters are [-2.78638396  3.79100166] -4.940234594181098 ;\n",
+      "Epoch 530/1000, Cost: 3.9532\n",
+      " and the parameters are [-2.78644873  3.79098895] -4.940224571612851 ;\n",
+      "Epoch 530/1000, Cost: 2.7896\n",
+      " and the parameters are [-2.78646257  3.7910493 ] -4.940183819502827 ;\n",
+      "Epoch 530/1000, Cost: 2.5614\n",
+      " and the parameters are [-2.78649683  3.79107716] -4.940179872054148 ;\n",
+      "Epoch 530/1000, Cost: 6.0069\n",
+      " and the parameters are [-2.78636751  3.79105204] -4.940313476456846 ;\n",
+      "Epoch 530/1000, Cost: 2.9525\n",
+      " and the parameters are [-2.78634095  3.79112123] -4.940314603705647 ;\n",
+      "Epoch 530/1000, Cost: 3.3982\n",
+      " and the parameters are [-2.78636935  3.79100486] -4.94042019893526 ;\n",
+      "Epoch 530/1000, Cost: 2.9411\n",
+      " and the parameters are [-2.7863923   3.79109058] -4.940374490872889 ;\n",
+      "Epoch 530/1000, Cost: 2.9882\n",
+      " and the parameters are [-2.78640887  3.79106071] -4.9404159168633806 ;\n",
+      "Epoch 530/1000, Cost: 2.7058\n",
+      " and the parameters are [-2.78638205  3.79109272] -4.940424053960363 ;\n",
+      "Epoch 530/1000, Cost: 3.6751\n",
+      " and the parameters are [-2.78643612  3.79102643] -4.9404759293303 ;\n",
+      "Epoch 530/1000, Cost: 3.3688\n",
+      " and the parameters are [-2.78638913  3.7910188 ] -4.940529621504976 ;\n",
+      "Epoch 530/1000, Cost: 3.3927\n",
+      " and the parameters are [-2.78639443  3.79111902] -4.940480814810239 ;\n",
+      "Epoch 530/1000, Cost: 2.5305\n",
+      " and the parameters are [-2.78639166  3.79115199] -4.940489202659896 ;\n",
+      "Epoch 530/1000, Cost: 2.6970\n",
+      " and the parameters are [-2.78639379  3.79119891] -4.940481417537445 ;\n",
+      "Epoch 530/1000, Cost: 1.5786\n",
+      " and the parameters are [-2.78637685  3.79131119] -4.940434666474376 ;\n",
+      "Epoch 530/1000, Cost: 4.7185\n",
+      " and the parameters are [-2.78646743  3.79121685] -4.940472645290533 ;\n",
+      "Epoch 530/1000, Cost: 1.8485\n",
+      " and the parameters are [-2.78646375  3.79125518] -4.9404718197806625 ;\n",
+      "Epoch 530/1000, Cost: 2.9033\n",
+      " and the parameters are [-2.7864143   3.79127921] -4.940504771911068 ;\n",
+      "Epoch 530/1000, Cost: 2.4886\n",
+      " and the parameters are [-2.78643945  3.79134408] -4.940476804534107 ;\n",
+      "Epoch 530/1000, Cost: 4.3648\n",
+      " and the parameters are [-2.78647084  3.79125325] -4.9405314604332276 ;\n",
+      "Epoch 530/1000, Cost: 2.7011\n",
+      " and the parameters are [-2.78644322  3.79132678] -4.940516523759398 ;\n",
+      "Epoch 530/1000, Cost: 2.0770\n",
+      " and the parameters are [-2.78646063  3.79132515] -4.940537746516761 ;\n",
+      "Epoch 530/1000, Cost: 2.6755\n",
+      " and the parameters are [-2.78642979  3.79133906] -4.940574319845579 ;\n",
+      "Epoch 530/1000, Cost: 1.7271\n",
+      " and the parameters are [-2.78647507  3.79132404] -4.940579833394851 ;\n",
+      "Epoch 530/1000, Cost: 1.4493\n",
+      " and the parameters are [-2.78646092  3.79141253] -4.9405455027724745 ;\n",
+      "Epoch 530/1000, Cost: 4.4797\n",
+      " and the parameters are [-2.78651591  3.79139824] -4.940532630095606 ;\n",
+      "Epoch 530/1000, Cost: 3.2364\n",
+      " and the parameters are [-2.78648841  3.79155542] -4.940455651224025 ;\n",
+      "Epoch 530/1000, Cost: 4.4219\n",
+      " and the parameters are [-2.78654451  3.79145371] -4.940506158614154 ;\n",
+      "Epoch 530/1000, Cost: 2.8466\n",
+      " and the parameters are [-2.78649375  3.79158381] -4.9404744581375635 ;\n",
+      "Epoch 530/1000, Cost: 2.5119\n",
+      " and the parameters are [-2.78652341  3.79162609] -4.940467225604041 ;\n",
+      "Epoch 530/1000, Cost: 4.0619\n",
+      " and the parameters are [-2.786444    3.79163497] -4.940534851667006 ;\n",
+      "Epoch 530/1000, Cost: 1.6944\n",
+      " and the parameters are [-2.78649813  3.79159736] -4.9405623886820855 ;\n",
+      "Epoch 530/1000, Cost: 8.0381\n",
+      " and the parameters are [-2.78656287  3.79150952] -4.940582260153046 ;\n",
+      "Epoch 530/1000, Cost: 3.2623\n",
+      " and the parameters are [-2.78657374  3.79145129] -4.9406482241794984 ;\n",
+      "Epoch 530/1000, Cost: 1.1915\n",
+      " and the parameters are [-2.78657969  3.79147255] -4.940662233214498 ;\n",
+      "Epoch 530/1000, Cost: 1.8826\n",
+      " and the parameters are [-2.78653356  3.79157495] -4.9406438812570155 ;\n",
+      "Epoch 530/1000, Cost: 5.7681\n",
+      " and the parameters are [-2.7865671   3.79157758] -4.940633228429013 ;\n",
+      "Epoch 530/1000, Cost: 1.7470\n",
+      " and the parameters are [-2.78661753  3.79156745] -4.9406437461836665 ;\n",
+      "Epoch 530/1000, Cost: 1.7631\n",
+      " and the parameters are [-2.78661628  3.79159906] -4.940650812871474 ;\n",
+      "Epoch 530/1000, Cost: 3.0895\n",
+      " and the parameters are [-2.78662142  3.79163163] -4.940647658946086 ;\n",
+      "Epoch 530/1000, Cost: 3.3447\n",
+      " and the parameters are [-2.78657562  3.79174565] -4.940602676836447 ;\n",
+      "Epoch 530/1000, Cost: 5.3032\n",
+      " and the parameters are [-2.78659529  3.79157748] -4.940741929774398 ;\n",
+      "Epoch 530/1000, Cost: 1.8946\n",
+      " and the parameters are [-2.7866053   3.79158537] -4.940767959585168 ;\n",
+      "Epoch 530/1000, Cost: 1.7225\n",
+      " and the parameters are [-2.78665726  3.79161576] -4.940745204329912 ;\n",
+      "Epoch 530/1000, Cost: 4.5495\n",
+      " and the parameters are [-2.78662779  3.791586  ] -4.940795442722462 ;\n",
+      "Epoch 530/1000, Cost: 5.6874\n",
+      " and the parameters are [-2.78650635  3.79162463] -4.940839954608003 ;\n",
+      "Epoch 530/1000, Cost: 1.0724\n",
+      " and the parameters are [-2.786503    3.79163885] -4.940857996041437 ;\n",
+      "Epoch 530/1000, Cost: 1.6294\n",
+      " and the parameters are [-2.78652375  3.79161786] -4.940902015935774 ;\n",
+      "Epoch 530/1000, Cost: 1.5953\n",
+      " and the parameters are [-2.78651548  3.79164603] -4.940924105944309 ;\n",
+      "Epoch 530/1000, Cost: 2.2159\n",
+      " and the parameters are [-2.78647755  3.79169223] -4.9409336992485295 ;\n",
+      "Epoch 530/1000, Cost: 3.2418\n",
+      " and the parameters are [-2.78650672  3.79174953] -4.940888170917031 ;\n",
+      "Epoch 530/1000, Cost: 2.6269\n",
+      " and the parameters are [-2.7865273   3.79176798] -4.940906524114153 ;\n",
+      "Epoch 530/1000, Cost: 4.6308\n",
+      " and the parameters are [-2.78652027  3.79176452] -4.940931886757325 ;\n",
+      "Epoch 530/1000, Cost: 4.4843\n",
+      " and the parameters are [-2.78652791  3.79185306] -4.94089239261747 ;\n",
+      "Epoch 530/1000, Cost: 4.0343\n",
+      " and the parameters are [-2.78651645  3.79185016] -4.940911772306786 ;\n",
+      "Epoch 530/1000, Cost: 2.5325\n",
+      " and the parameters are [-2.78648981  3.791938  ] -4.9408912899557755 ;\n",
+      "Epoch 530/1000, Cost: 1.2572\n",
+      " and the parameters are [-2.78649367  3.79195633] -4.940901421196168 ;\n",
+      "Epoch 530/1000, Cost: 1.5677\n",
+      " and the parameters are [-2.78648791  3.79202762] -4.940883344785913 ;\n",
+      "Epoch 530/1000, Cost: 4.9322\n",
+      " and the parameters are [-2.7865978   3.79200571] -4.940859787152494 ;\n",
+      "Epoch 530/1000, Cost: 1.3396\n",
+      " and the parameters are [-2.7866094   3.79205142] -4.940846387567546 ;\n",
+      "Epoch 530/1000, Cost: 3.5429\n",
+      " and the parameters are [-2.78658598  3.79205688] -4.940889043506249 ;\n",
+      "Epoch 530/1000, Cost: 3.3392\n",
+      " and the parameters are [-2.78665266  3.79205002] -4.940895307490636 ;\n",
+      "Epoch 530/1000, Cost: 4.0555\n",
+      " and the parameters are [-2.78670735  3.79196838] -4.940955197295752 ;\n",
+      "Epoch 530/1000, Cost: 3.1280\n",
+      " and the parameters are [-2.78672108  3.79203245] -4.940925278679161 ;\n",
+      "Epoch 530/1000, Cost: 3.2816\n",
+      " and the parameters are [-2.78675032  3.79193309] -4.941008266647264 ;\n",
+      "Epoch 530/1000, Cost: 1.4417\n",
+      " and the parameters are [-2.78675875  3.79191625] -4.941038944296413 ;\n",
+      "Epoch 530/1000, Cost: 2.9872\n",
+      " and the parameters are [-2.78680534  3.79184936] -4.941094747379686 ;\n",
+      "Epoch 530/1000, Cost: 4.7820\n",
+      " and the parameters are [-2.78694046  3.79160296] -4.941197552918074 ;\n",
+      "Epoch 530/1000, Cost: 2.5803\n",
+      " and the parameters are [-2.78697769  3.79157694] -4.941232553929143 ;\n",
+      "Epoch 530/1000, Cost: 5.9362\n",
+      " and the parameters are [-2.78712139  3.79146909] -4.9412294276165944 ;\n",
+      "Epoch 530/1000, Cost: 5.0986\n",
+      " and the parameters are [-2.78707188  3.79141955] -4.941294463398366 ;\n",
+      "Epoch 530/1000, Cost: 1.4769\n",
+      " and the parameters are [-2.78710053  3.79137265] -4.94133993565446 ;\n",
+      "Epoch 530/1000, Cost: 2.6561\n",
+      " and the parameters are [-2.78709801  3.79134978] -4.941397841494095 ;\n",
+      "Epoch 530/1000, Cost: 2.1398\n",
+      " and the parameters are [-2.78706107  3.79142856] -4.94139829363319 ;\n",
+      "Epoch 530/1000, Cost: 2.4989\n",
+      " and the parameters are [-2.78710656  3.791452  ] -4.941386426594337 ;\n",
+      "Epoch 530/1000, Cost: 5.1612\n",
+      " and the parameters are [-2.78712232  3.79146121] -4.941387998644108 ;\n",
+      "Epoch 530/1000, Cost: 2.4164\n",
+      " and the parameters are [-2.78710328  3.7915684 ] -4.941346724683628 ;\n",
+      "Epoch 530/1000, Cost: 3.6699\n",
+      " and the parameters are [-2.78713464  3.79142849] -4.941448347657988 ;\n",
+      "Epoch 530/1000, Cost: 1.8500\n",
+      " and the parameters are [-2.78719018  3.79144476] -4.941437418029157 ;\n",
+      "Epoch 530/1000, Cost: 2.9878\n",
+      " and the parameters are [-2.78722893  3.79146705] -4.9414332045034435 ;\n",
+      "Epoch 530/1000, Cost: 9.1768\n",
+      " and the parameters are [-2.78736787  3.79120399] -4.941541370366781 ;\n",
+      "Epoch 530/1000, Cost: 1.4452\n",
+      " and the parameters are [-2.78735613  3.79121288] -4.941568089760633 ;\n",
+      "Epoch 530/1000, Cost: 5.7941\n",
+      " and the parameters are [-2.78739262  3.79117239] -4.941600798939733 ;\n",
+      "Epoch 530/1000, Cost: 2.5708\n",
+      " and the parameters are [-2.78742441  3.79120938] -4.941577283118563 ;\n",
+      "Epoch 530/1000, Cost: 2.9495\n",
+      " and the parameters are [-2.78747631  3.79119281] -4.941594939704806 ;\n",
+      "Epoch 530/1000, Cost: 6.6643\n",
+      " and the parameters are [-2.78737965  3.79121981] -4.941642797224021 ;\n",
+      "Epoch 530/1000, Cost: 6.2654\n",
+      " and the parameters are [-2.7874936   3.79126618] -4.941551300216757 ;\n",
+      "Epoch 530/1000, Cost: 6.5794\n",
+      " and the parameters are [-2.78741298  3.79114745] -4.941680697214904 ;\n",
+      "Epoch 530/1000, Cost: 2.4049\n",
+      " and the parameters are [-2.78740606  3.79114745] -4.941713220676192 ;\n",
+      "Epoch 530/1000, Cost: 5.3261\n",
+      " and the parameters are [-2.78733915  3.79111398] -4.941805565540978 ;\n",
+      "Epoch 530/1000, Cost: 5.6610\n",
+      " and the parameters are [-2.78740602  3.79109537] -4.94180517813659 ;\n",
+      "Epoch 530/1000, Cost: 2.5114\n",
+      " and the parameters are [-2.78734309  3.79123955] -4.9417514456641305 ;\n",
+      "Epoch 530/1000, Cost: 3.2355\n",
+      " and the parameters are [-2.78737576  3.79118937] -4.941813603155715 ;\n",
+      "Epoch 530/1000, Cost: 4.9118\n",
+      " and the parameters are [-2.78735103  3.79113705] -4.9418762567257515 ;\n",
+      "Epoch 530/1000, Cost: 2.4190\n",
+      " and the parameters are [-2.78735849  3.79114893] -4.941899305832319 ;\n",
+      "Epoch 530/1000, Cost: 0.9999\n",
+      " and the parameters are [-2.78734897  3.79119099] -4.941901501827149 ;\n",
+      "Epoch 530/1000, Cost: 1.6472\n",
+      " and the parameters are [-2.78732865  3.7912133 ] -4.941922197876568 ;\n",
+      "Epoch 530/1000, Cost: 2.9922\n",
+      " and the parameters are [-2.78737473  3.79118655] -4.941955950714506 ;\n",
+      "Epoch 530/1000, Cost: 4.1357\n",
+      " and the parameters are [-2.7873971   3.79119636] -4.941963735328517 ;\n",
+      "Epoch 530/1000, Cost: 2.7519\n",
+      " and the parameters are [-2.78743503  3.79112603] -4.942022070107035 ;\n",
+      "Epoch 530/1000, Cost: 8.0039\n",
+      " and the parameters are [-2.78739947  3.79096644] -4.942127029885362 ;\n",
+      "Epoch 530/1000, Cost: 6.2072\n",
+      " and the parameters are [-2.78733635  3.79101375] -4.942129842409966 ;\n",
+      "Epoch 530/1000, Cost: 5.4598\n",
+      " and the parameters are [-2.78738661  3.79106679] -4.942076786083265 ;\n",
+      "Epoch 530/1000, Cost: 2.9992\n",
+      " and the parameters are [-2.78734151  3.79115432] -4.942069494088511 ;\n",
+      "Epoch 530/1000, Cost: 3.5604\n",
+      " and the parameters are [-2.78736902  3.79126159] -4.942011759028709 ;\n",
+      "Epoch 530/1000, Cost: 2.7956\n",
+      " and the parameters are [-2.78740976  3.7913167 ] -4.941971683285724 ;\n",
+      "Epoch 530/1000, Cost: 2.4857\n",
+      " and the parameters are [-2.78741433  3.79133922] -4.941975820857598 ;\n",
+      "Epoch 530/1000, Cost: 7.9055\n",
+      " and the parameters are [-2.78736895  3.7915396 ] -4.941843890792094 ;\n",
+      "Epoch 530/1000, Cost: 0.7485\n",
+      " and the parameters are [-2.78737191  3.79155694] -4.941850925062871 ;\n",
+      "Epoch 530/1000, Cost: 3.8386\n",
+      " and the parameters are [-2.78739609  3.79155747] -4.941862809402126 ;\n",
+      "Epoch 530/1000, Cost: 5.0831\n",
+      " and the parameters are [-2.78747833  3.79144895] -4.941913118569765 ;\n",
+      "Epoch 530/1000, Cost: 2.8336\n",
+      " and the parameters are [-2.78748012  3.7914431 ] -4.941954795249144 ;\n",
+      "Epoch 530/1000, Cost: 3.0285\n",
+      " and the parameters are [-2.78746883  3.79151702] -4.941934110117668 ;\n",
+      "Epoch 530/1000, Cost: 1.4824\n",
+      " and the parameters are [-2.78744231  3.79151205] -4.941978680544875 ;\n",
+      "Epoch 530/1000, Cost: 2.6511\n",
+      " and the parameters are [-2.78744656  3.79157108] -4.9419739550597725 ;\n",
+      "Epoch 530/1000, Cost: 4.6101\n",
+      " and the parameters are [-2.78741313  3.79154705] -4.942022638081336 ;\n",
+      "Epoch 530/1000, Cost: 2.4197\n",
+      " and the parameters are [-2.7874011   3.79160377] -4.942027044031445 ;\n",
+      "Epoch 530/1000, Cost: 0.9167\n",
+      " and the parameters are [-2.78741305  3.79161946] -4.942032588736427 ;\n",
+      "Epoch 530/1000, Cost: 4.0192\n",
+      " and the parameters are [-2.78735095  3.79164249] -4.942068153905251 ;\n",
+      "Epoch 530/1000, Cost: 2.8916\n",
+      " and the parameters are [-2.78739397  3.79156608] -4.942126743636441 ;\n",
+      "Epoch 530/1000, Cost: 1.7730\n",
+      " and the parameters are [-2.78740851  3.79160793] -4.942122196802369 ;\n",
+      "Epoch 530/1000, Cost: 3.0866\n",
+      " and the parameters are [-2.78743031  3.79167405] -4.942087135004713 ;\n",
+      "Epoch 530/1000, Cost: 1.3308\n",
+      " and the parameters are [-2.78742466  3.79177195] -4.9420485966099355 ;\n",
+      "Epoch 530/1000, Cost: 2.6475\n",
+      " and the parameters are [-2.78740061  3.79185149] -4.942039834366945 ;\n",
+      "Epoch 530/1000, Cost: 3.4090\n",
+      " and the parameters are [-2.78740108  3.79198276] -4.9419792584430935 ;\n",
+      "Epoch 530/1000, Cost: 4.8598\n",
+      " and the parameters are [-2.78743181  3.79191606] -4.942050251005475 ;\n",
+      "Epoch 530/1000, Cost: 1.3366\n",
+      " and the parameters are [-2.78744113  3.79193086] -4.942065293316446 ;\n",
+      "Epoch 530/1000, Cost: 5.7919\n",
+      " and the parameters are [-2.78727242  3.79208026] -4.942048843119274 ;\n",
+      "Epoch 540/1000, Cost: 1.3689\n",
+      " and the parameters are [-2.80064898  3.80868291] -4.965872811496824 ;\n",
+      "Epoch 540/1000, Cost: 4.2016\n",
+      " and the parameters are [-2.80061605  3.80876118] -4.965854134522242 ;\n",
+      "Epoch 540/1000, Cost: 7.1593\n",
+      " and the parameters are [-2.80064287  3.80878139] -4.965838095492169 ;\n",
+      "Epoch 540/1000, Cost: 5.6401\n",
+      " and the parameters are [-2.80058848  3.80878678] -4.9658784390907895 ;\n",
+      "Epoch 540/1000, Cost: 2.5348\n",
+      " and the parameters are [-2.80061389  3.80885714] -4.96584381911104 ;\n",
+      "Epoch 540/1000, Cost: 5.5407\n",
+      " and the parameters are [-2.80052702  3.8088416 ] -4.965927608562342 ;\n",
+      "Epoch 540/1000, Cost: 8.3730\n",
+      " and the parameters are [-2.80056869  3.80866354] -4.965997483827684 ;\n",
+      "Epoch 540/1000, Cost: 2.7836\n",
+      " and the parameters are [-2.80056008  3.80868785] -4.9660184421063045 ;\n",
+      "Epoch 540/1000, Cost: 2.0547\n",
+      " and the parameters are [-2.800604    3.80861189] -4.966064991159035 ;\n",
+      "Epoch 540/1000, Cost: 3.1801\n",
+      " and the parameters are [-2.80058015  3.80871037] -4.966027706254768 ;\n",
+      "Epoch 540/1000, Cost: 4.0359\n",
+      " and the parameters are [-2.80055632  3.8086853 ] -4.966091359216345 ;\n",
+      "Epoch 540/1000, Cost: 2.0716\n",
+      " and the parameters are [-2.80056692  3.80873954] -4.966076352247591 ;\n",
+      "Epoch 540/1000, Cost: 2.9453\n",
+      " and the parameters are [-2.80053215  3.80884344] -4.966043270436105 ;\n",
+      "Epoch 540/1000, Cost: 4.8057\n",
+      " and the parameters are [-2.80057534  3.80881247] -4.966068693317989 ;\n",
+      "Epoch 540/1000, Cost: 2.8241\n",
+      " and the parameters are [-2.80059684  3.80887534] -4.966049219357837 ;\n",
+      "Epoch 540/1000, Cost: 1.3292\n",
+      " and the parameters are [-2.80060291  3.80891183] -4.966051680102517 ;\n",
+      "Epoch 540/1000, Cost: 4.3702\n",
+      " and the parameters are [-2.80057447  3.80884865] -4.966129348457333 ;\n",
+      "Epoch 540/1000, Cost: 1.7886\n",
+      " and the parameters are [-2.80055599  3.80888634] -4.966139252909849 ;\n",
+      "Epoch 540/1000, Cost: 3.8210\n",
+      " and the parameters are [-2.80048131  3.80897418] -4.966123421674851 ;\n",
+      "Epoch 540/1000, Cost: 6.0920\n",
+      " and the parameters are [-2.80063991  3.8089101 ] -4.966096566898668 ;\n",
+      "Epoch 540/1000, Cost: 3.1450\n",
+      " and the parameters are [-2.80064408  3.80889408] -4.966135493027984 ;\n",
+      "Epoch 540/1000, Cost: 4.8123\n",
+      " and the parameters are [-2.80070017  3.80885316] -4.966157351586106 ;\n",
+      "Epoch 540/1000, Cost: 3.9578\n",
+      " and the parameters are [-2.80071027  3.80879047] -4.9662128813885325 ;\n",
+      "Epoch 540/1000, Cost: 0.8318\n",
+      " and the parameters are [-2.80071171  3.80881228] -4.96622041561882 ;\n",
+      "Epoch 540/1000, Cost: 1.1576\n",
+      " and the parameters are [-2.80072568  3.80887277] -4.9661943160276865 ;\n",
+      "Epoch 540/1000, Cost: 1.7273\n",
+      " and the parameters are [-2.80071897  3.80888186] -4.96622582023014 ;\n",
+      "Epoch 540/1000, Cost: 4.9963\n",
+      " and the parameters are [-2.80067495  3.80883884] -4.966291856255168 ;\n",
+      "Epoch 540/1000, Cost: 3.8697\n",
+      " and the parameters are [-2.80070534  3.80872453] -4.966365753318391 ;\n",
+      "Epoch 540/1000, Cost: 7.0774\n",
+      " and the parameters are [-2.80067474  3.80872917] -4.96637294122714 ;\n",
+      "Epoch 540/1000, Cost: 4.2342\n",
+      " and the parameters are [-2.80062732  3.80872375] -4.966427899195075 ;\n",
+      "Epoch 540/1000, Cost: 4.7682\n",
+      " and the parameters are [-2.80065295  3.80866845] -4.966481105192464 ;\n",
+      "Epoch 540/1000, Cost: 1.6299\n",
+      " and the parameters are [-2.80066131  3.80864308] -4.966522214766137 ;\n",
+      "Epoch 540/1000, Cost: 4.8761\n",
+      " and the parameters are [-2.80066703  3.80864738] -4.966537411574827 ;\n",
+      "Epoch 540/1000, Cost: 4.3444\n",
+      " and the parameters are [-2.80065836  3.80863968] -4.966557428003204 ;\n",
+      "Epoch 540/1000, Cost: 5.8715\n",
+      " and the parameters are [-2.80052602  3.80869748] -4.966576230996106 ;\n",
+      "Epoch 540/1000, Cost: 2.7272\n",
+      " and the parameters are [-2.80053713  3.8086538 ] -4.966649085531716 ;\n",
+      "Epoch 540/1000, Cost: 1.7604\n",
+      " and the parameters are [-2.80058228  3.80860824] -4.96669413353537 ;\n",
+      "Epoch 540/1000, Cost: 3.2052\n",
+      " and the parameters are [-2.80062078  3.80857828] -4.966724773300785 ;\n",
+      "Epoch 540/1000, Cost: 2.4539\n",
+      " and the parameters are [-2.80060838  3.8085962 ] -4.966743702213719 ;\n",
+      "Epoch 540/1000, Cost: 2.1562\n",
+      " and the parameters are [-2.80062604  3.80862325] -4.966755237598552 ;\n",
+      "Epoch 540/1000, Cost: 3.6930\n",
+      " and the parameters are [-2.80054422  3.80877655] -4.9667195084405495 ;\n",
+      "Epoch 540/1000, Cost: 2.4934\n",
+      " and the parameters are [-2.80057426  3.80881008] -4.966713077545494 ;\n",
+      "Epoch 540/1000, Cost: 2.8406\n",
+      " and the parameters are [-2.80056723  3.80880413] -4.966736651321294 ;\n",
+      "Epoch 540/1000, Cost: 2.3403\n",
+      " and the parameters are [-2.80061445  3.80888017] -4.966695069177912 ;\n",
+      "Epoch 540/1000, Cost: 0.9678\n",
+      " and the parameters are [-2.80061574  3.80890359] -4.966702709106163 ;\n",
+      "Epoch 540/1000, Cost: 3.4931\n",
+      " and the parameters are [-2.80060297  3.80899203] -4.966655019578297 ;\n",
+      "Epoch 540/1000, Cost: 2.7693\n",
+      " and the parameters are [-2.80058919  3.80908488] -4.966617907256788 ;\n",
+      "Epoch 540/1000, Cost: 2.3914\n",
+      " and the parameters are [-2.80052304  3.80915599] -4.9666283656034835 ;\n",
+      "Epoch 540/1000, Cost: 2.4747\n",
+      " and the parameters are [-2.80050434  3.80921979] -4.966625184736859 ;\n",
+      "Epoch 540/1000, Cost: 1.4931\n",
+      " and the parameters are [-2.80052003  3.80917819] -4.966668515204749 ;\n",
+      "Epoch 540/1000, Cost: 4.7336\n",
+      " and the parameters are [-2.80058451  3.80903255] -4.966780109503898 ;\n",
+      "Epoch 540/1000, Cost: 2.4304\n",
+      " and the parameters are [-2.80060091  3.80902398] -4.9668206394863725 ;\n",
+      "Epoch 540/1000, Cost: 3.3799\n",
+      " and the parameters are [-2.80063216  3.80897598] -4.966863975443965 ;\n",
+      "Epoch 540/1000, Cost: 1.7574\n",
+      " and the parameters are [-2.80065421  3.80897083] -4.9668924403642825 ;\n",
+      "Epoch 540/1000, Cost: 4.3221\n",
+      " and the parameters are [-2.80063337  3.80902804] -4.966871467355843 ;\n",
+      "Epoch 540/1000, Cost: 1.4681\n",
+      " and the parameters are [-2.80063819  3.80905037] -4.9668769644107575 ;\n",
+      "Epoch 540/1000, Cost: 1.7907\n",
+      " and the parameters are [-2.80063595  3.80904892] -4.966907408229668 ;\n",
+      "Epoch 540/1000, Cost: 5.8066\n",
+      " and the parameters are [-2.80066754  3.80890996] -4.967014016556471 ;\n",
+      "Epoch 540/1000, Cost: 4.1841\n",
+      " and the parameters are [-2.8006834   3.80882081] -4.967092332476615 ;\n",
+      "Epoch 540/1000, Cost: 3.3325\n",
+      " and the parameters are [-2.8006492   3.80888922] -4.967096488646721 ;\n",
+      "Epoch 540/1000, Cost: 6.6304\n",
+      " and the parameters are [-2.80075744  3.80869633] -4.967189824836946 ;\n",
+      "Epoch 540/1000, Cost: 1.4905\n",
+      " and the parameters are [-2.80070783  3.80877242] -4.96719119589876 ;\n",
+      "Epoch 540/1000, Cost: 4.6976\n",
+      " and the parameters are [-2.80068757  3.80887156] -4.9671375156998625 ;\n",
+      "Epoch 540/1000, Cost: 2.8279\n",
+      " and the parameters are [-2.80070315  3.80894876] -4.967103730301627 ;\n",
+      "Epoch 540/1000, Cost: 2.1799\n",
+      " and the parameters are [-2.80077066  3.80894745] -4.967103605290092 ;\n",
+      "Epoch 540/1000, Cost: 4.2210\n",
+      " and the parameters are [-2.80080989  3.80898766] -4.967072042410638 ;\n",
+      "Epoch 540/1000, Cost: 2.0069\n",
+      " and the parameters are [-2.80084098  3.80897667] -4.967099655979168 ;\n",
+      "Epoch 540/1000, Cost: 1.4607\n",
+      " and the parameters are [-2.80085891  3.80901055] -4.967098237340687 ;\n",
+      "Epoch 540/1000, Cost: 3.9992\n",
+      " and the parameters are [-2.80081017  3.80915391] -4.967033441707253 ;\n",
+      "Epoch 540/1000, Cost: 3.1194\n",
+      " and the parameters are [-2.80081188  3.80921837] -4.967015228269257 ;\n",
+      "Epoch 540/1000, Cost: 3.7302\n",
+      " and the parameters are [-2.80076609  3.80922597] -4.967067759600421 ;\n",
+      "Epoch 540/1000, Cost: 1.9381\n",
+      " and the parameters are [-2.8007966   3.80918908] -4.967105897830548 ;\n",
+      "Epoch 540/1000, Cost: 3.0707\n",
+      " and the parameters are [-2.80082114  3.80922739] -4.967088153012858 ;\n",
+      "Epoch 540/1000, Cost: 2.3369\n",
+      " and the parameters are [-2.80081081  3.80921642] -4.96714342897954 ;\n",
+      "Epoch 540/1000, Cost: 2.3381\n",
+      " and the parameters are [-2.8008173   3.80929839] -4.967100979556158 ;\n",
+      "Epoch 540/1000, Cost: 4.6928\n",
+      " and the parameters are [-2.80085194  3.80918577] -4.9671922646273385 ;\n",
+      "Epoch 540/1000, Cost: 3.1205\n",
+      " and the parameters are [-2.80083385  3.80910087] -4.9672757864997585 ;\n",
+      "Epoch 540/1000, Cost: 1.4988\n",
+      " and the parameters are [-2.8008202   3.80909973] -4.967312015407983 ;\n",
+      "Epoch 540/1000, Cost: 4.3395\n",
+      " and the parameters are [-2.80082279  3.80897892] -4.96742090937192 ;\n",
+      "Epoch 540/1000, Cost: 1.7903\n",
+      " and the parameters are [-2.80086019  3.80897497] -4.96743596389283 ;\n",
+      "Epoch 540/1000, Cost: 2.8271\n",
+      " and the parameters are [-2.80087662  3.80894108] -4.967470854343178 ;\n",
+      "Epoch 540/1000, Cost: 2.0701\n",
+      " and the parameters are [-2.80081159  3.80901123] -4.967478668417732 ;\n",
+      "Epoch 540/1000, Cost: 3.7871\n",
+      " and the parameters are [-2.80086058  3.80898896] -4.967496485588717 ;\n",
+      "Epoch 540/1000, Cost: 2.8250\n",
+      " and the parameters are [-2.80083523  3.80907978] -4.967472482648175 ;\n",
+      "Epoch 540/1000, Cost: 5.5949\n",
+      " and the parameters are [-2.80093524  3.80896044] -4.967533681801815 ;\n",
+      "Epoch 540/1000, Cost: 2.1645\n",
+      " and the parameters are [-2.80092137  3.80902273] -4.967531866715798 ;\n",
+      "Epoch 540/1000, Cost: 4.1168\n",
+      " and the parameters are [-2.80090202  3.80912021] -4.967469858020437 ;\n",
+      "Epoch 540/1000, Cost: 5.2426\n",
+      " and the parameters are [-2.80089981  3.80908105] -4.967524504983114 ;\n",
+      "Epoch 540/1000, Cost: 2.9134\n",
+      " and the parameters are [-2.80089377  3.80915123] -4.967490116297054 ;\n",
+      "Epoch 540/1000, Cost: 2.5094\n",
+      " and the parameters are [-2.80087623  3.80911951] -4.967551620732311 ;\n",
+      "Epoch 540/1000, Cost: 1.6641\n",
+      " and the parameters are [-2.80085512  3.80921026] -4.967528887830594 ;\n",
+      "Epoch 540/1000, Cost: 4.7939\n",
+      " and the parameters are [-2.8007817   3.80922673] -4.96755889904146 ;\n",
+      "Epoch 540/1000, Cost: 2.9559\n",
+      " and the parameters are [-2.80079091  3.80933114] -4.9675003357575855 ;\n",
+      "Epoch 540/1000, Cost: 1.7564\n",
+      " and the parameters are [-2.80077982  3.80931712] -4.967548064285953 ;\n",
+      "Epoch 540/1000, Cost: 1.9726\n",
+      " and the parameters are [-2.80080286  3.80929813] -4.96758605672529 ;\n",
+      "Epoch 540/1000, Cost: 2.5839\n",
+      " and the parameters are [-2.80073618  3.80942821] -4.967544805437791 ;\n",
+      "Epoch 540/1000, Cost: 6.4548\n",
+      " and the parameters are [-2.80070231  3.80951525] -4.9674796936370385 ;\n",
+      "Epoch 540/1000, Cost: 2.1760\n",
+      " and the parameters are [-2.80069069  3.80950301] -4.967531071410137 ;\n",
+      "Epoch 540/1000, Cost: 5.9524\n",
+      " and the parameters are [-2.80063832  3.80946973] -4.967617479096089 ;\n",
+      "Epoch 540/1000, Cost: 3.3255\n",
+      " and the parameters are [-2.80071969  3.80937998] -4.9676705288434455 ;\n",
+      "Epoch 540/1000, Cost: 2.2650\n",
+      " and the parameters are [-2.80073495  3.80937071] -4.967696525153582 ;\n",
+      "Epoch 540/1000, Cost: 3.9841\n",
+      " and the parameters are [-2.8007769   3.80940632] -4.967671200603507 ;\n",
+      "Epoch 540/1000, Cost: 1.2372\n",
+      " and the parameters are [-2.80079435  3.80941262] -4.96768291679194 ;\n",
+      "Epoch 540/1000, Cost: 4.2892\n",
+      " and the parameters are [-2.80077441  3.80949088] -4.96762948804991 ;\n",
+      "Epoch 540/1000, Cost: 2.5458\n",
+      " and the parameters are [-2.80078346  3.80950086] -4.967641624698055 ;\n",
+      "Epoch 540/1000, Cost: 2.4155\n",
+      " and the parameters are [-2.80084067  3.8094683 ] -4.967660065408139 ;\n",
+      "Epoch 540/1000, Cost: 4.2820\n",
+      " and the parameters are [-2.80082849  3.80949688] -4.9676810627147185 ;\n",
+      "Epoch 540/1000, Cost: 3.8231\n",
+      " and the parameters are [-2.80083848  3.80961994] -4.967625689240878 ;\n",
+      "Epoch 540/1000, Cost: 1.1215\n",
+      " and the parameters are [-2.80086083  3.80967351] -4.96759991425838 ;\n",
+      "Epoch 540/1000, Cost: 3.6845\n",
+      " and the parameters are [-2.80083522  3.80975635] -4.967581190250146 ;\n",
+      "Epoch 540/1000, Cost: 4.8832\n",
+      " and the parameters are [-2.80085117  3.80964339] -4.96768509175762 ;\n",
+      "Epoch 540/1000, Cost: 4.5358\n",
+      " and the parameters are [-2.80081687  3.80965288] -4.967722848618207 ;\n",
+      "Epoch 540/1000, Cost: 3.5015\n",
+      " and the parameters are [-2.80091161  3.80957687] -4.9677639919977254 ;\n",
+      "Epoch 540/1000, Cost: 1.8523\n",
+      " and the parameters are [-2.80094888  3.80951529] -4.96781134693124 ;\n",
+      "Epoch 540/1000, Cost: 1.7847\n",
+      " and the parameters are [-2.80092596  3.80956393] -4.967814909581332 ;\n",
+      "Epoch 540/1000, Cost: 2.7451\n",
+      " and the parameters are [-2.80093971  3.8095909 ] -4.967832052684744 ;\n",
+      "Epoch 540/1000, Cost: 6.2636\n",
+      " and the parameters are [-2.80090749  3.80969148] -4.9677772144285814 ;\n",
+      "Epoch 540/1000, Cost: 4.3859\n",
+      " and the parameters are [-2.80085967  3.80966864] -4.967849007717296 ;\n",
+      "Epoch 540/1000, Cost: 3.8076\n",
+      " and the parameters are [-2.80087834  3.80960948] -4.9679033810695366 ;\n",
+      "Epoch 540/1000, Cost: 3.8361\n",
+      " and the parameters are [-2.80094033  3.80949427] -4.967962313898729 ;\n",
+      "Epoch 540/1000, Cost: 4.2518\n",
+      " and the parameters are [-2.80080743  3.80954863] -4.9680169333167585 ;\n",
+      "Epoch 540/1000, Cost: 4.7454\n",
+      " and the parameters are [-2.80085181  3.80943772] -4.968081430713886 ;\n",
+      "Epoch 540/1000, Cost: 2.3054\n",
+      " and the parameters are [-2.80089148  3.80940116] -4.968118772359068 ;\n",
+      "Epoch 540/1000, Cost: 3.7219\n",
+      " and the parameters are [-2.80094855  3.80943117] -4.968084003433852 ;\n",
+      "Epoch 540/1000, Cost: 2.0215\n",
+      " and the parameters are [-2.80094291  3.80940895] -4.968135471003558 ;\n",
+      "Epoch 540/1000, Cost: 6.4771\n",
+      " and the parameters are [-2.80090214  3.80925962] -4.968273586081455 ;\n",
+      "Epoch 540/1000, Cost: 5.2340\n",
+      " and the parameters are [-2.80099496  3.80917775] -4.968302795669417 ;\n",
+      "Epoch 540/1000, Cost: 1.3999\n",
+      " and the parameters are [-2.80101825  3.80922749] -4.96828290156999 ;\n",
+      "Epoch 540/1000, Cost: 3.1560\n",
+      " and the parameters are [-2.8010422   3.80923531] -4.968286755911267 ;\n",
+      "Epoch 540/1000, Cost: 3.6983\n",
+      " and the parameters are [-2.80102452  3.8092318 ] -4.968339555940283 ;\n",
+      "Epoch 540/1000, Cost: 4.6607\n",
+      " and the parameters are [-2.80102396  3.80922993] -4.968365098850901 ;\n",
+      "Epoch 540/1000, Cost: 6.3206\n",
+      " and the parameters are [-2.80110873  3.80914753] -4.968400619221246 ;\n",
+      "Epoch 540/1000, Cost: 3.2889\n",
+      " and the parameters are [-2.80108923  3.80916464] -4.968428875806014 ;\n",
+      "Epoch 540/1000, Cost: 4.8308\n",
+      " and the parameters are [-2.80116366  3.80924242] -4.9683584538045915 ;\n",
+      "Epoch 540/1000, Cost: 1.9961\n",
+      " and the parameters are [-2.80117861  3.80925484] -4.968367298350011 ;\n",
+      "Epoch 540/1000, Cost: 3.0068\n",
+      " and the parameters are [-2.80116882  3.80935483] -4.968326020910213 ;\n",
+      "Epoch 540/1000, Cost: 4.7598\n",
+      " and the parameters are [-2.80124721  3.80934347] -4.968303955963446 ;\n",
+      "Epoch 540/1000, Cost: 3.5345\n",
+      " and the parameters are [-2.80132732  3.80924163] -4.9683314797963245 ;\n",
+      "Epoch 540/1000, Cost: 3.7879\n",
+      " and the parameters are [-2.80140675  3.8091419 ] -4.968378868354124 ;\n",
+      "Epoch 540/1000, Cost: 4.2364\n",
+      " and the parameters are [-2.80136877  3.80928531] -4.9683131612573925 ;\n",
+      "Epoch 540/1000, Cost: 3.6451\n",
+      " and the parameters are [-2.80142354  3.80922672] -4.968349456754778 ;\n",
+      "Epoch 540/1000, Cost: 2.2451\n",
+      " and the parameters are [-2.8014387   3.80928877] -4.968327519189847 ;\n",
+      "Epoch 540/1000, Cost: 3.6841\n",
+      " and the parameters are [-2.80144955  3.809242  ] -4.968370089883644 ;\n",
+      "Epoch 540/1000, Cost: 2.4099\n",
+      " and the parameters are [-2.80143397  3.80918663] -4.968435024300695 ;\n",
+      "Epoch 540/1000, Cost: 1.3671\n",
+      " and the parameters are [-2.80140452  3.80926612] -4.968412577430165 ;\n",
+      "Epoch 540/1000, Cost: 1.5172\n",
+      " and the parameters are [-2.8013939  3.8093374] -4.968394677484768 ;\n",
+      "Epoch 540/1000, Cost: 2.5764\n",
+      " and the parameters are [-2.80137396  3.80944539] -4.968361039450055 ;\n",
+      "Epoch 540/1000, Cost: 2.9508\n",
+      " and the parameters are [-2.80131169  3.80961329] -4.968292244243762 ;\n",
+      "Epoch 540/1000, Cost: 1.3448\n",
+      " and the parameters are [-2.8012916   3.80970119] -4.968266381150938 ;\n",
+      "Epoch 540/1000, Cost: 2.4710\n",
+      " and the parameters are [-2.80125187  3.80970351] -4.9683040164730805 ;\n",
+      "Epoch 540/1000, Cost: 10.1437\n",
+      " and the parameters are [-2.80141892  3.809528  ] -4.96831459887164 ;\n",
+      "Epoch 540/1000, Cost: 1.1444\n",
+      " and the parameters are [-2.80144518  3.80952936] -4.96832535325399 ;\n",
+      "Epoch 540/1000, Cost: 3.7615\n",
+      " and the parameters are [-2.80148321  3.80955894] -4.968317259361993 ;\n",
+      "Epoch 540/1000, Cost: 2.7790\n",
+      " and the parameters are [-2.80150652  3.8095798 ] -4.968312296000533 ;\n",
+      "Epoch 540/1000, Cost: 3.2917\n",
+      " and the parameters are [-2.80153817  3.80956215] -4.968342174096998 ;\n",
+      "Epoch 540/1000, Cost: 1.7898\n",
+      " and the parameters are [-2.80157523  3.80958972] -4.968322505186584 ;\n",
+      "Epoch 540/1000, Cost: 2.9491\n",
+      " and the parameters are [-2.80160127  3.80959344] -4.968322526138021 ;\n",
+      "Epoch 540/1000, Cost: 3.0564\n",
+      " and the parameters are [-2.8015892   3.80952078] -4.968421309900948 ;\n",
+      "Epoch 540/1000, Cost: 3.2522\n",
+      " and the parameters are [-2.80164977  3.80950661] -4.968443503243882 ;\n",
+      "Epoch 540/1000, Cost: 7.5320\n",
+      " and the parameters are [-2.80165508  3.80953402] -4.968398189543269 ;\n",
+      "Epoch 540/1000, Cost: 4.0926\n",
+      " and the parameters are [-2.80170535  3.80949425] -4.96842353658739 ;\n",
+      "Epoch 540/1000, Cost: 1.7464\n",
+      " and the parameters are [-2.80169521  3.80958318] -4.968392932126918 ;\n",
+      "Epoch 540/1000, Cost: 2.0303\n",
+      " and the parameters are [-2.80165105  3.80962263] -4.968416190514737 ;\n",
+      "Epoch 540/1000, Cost: 1.5085\n",
+      " and the parameters are [-2.80161833  3.80962425] -4.9684623559581915 ;\n",
+      "Epoch 540/1000, Cost: 3.7584\n",
+      " and the parameters are [-2.80162988  3.80966974] -4.968455496235855 ;\n",
+      "Epoch 540/1000, Cost: 3.9231\n",
+      " and the parameters are [-2.80162787  3.80972622] -4.968430260304333 ;\n",
+      "Epoch 540/1000, Cost: 5.3151\n",
+      " and the parameters are [-2.80156212  3.80986561] -4.96838291240462 ;\n",
+      "Epoch 540/1000, Cost: 2.9725\n",
+      " and the parameters are [-2.80150618  3.80988146] -4.968439950058433 ;\n",
+      "Epoch 540/1000, Cost: 3.8698\n",
+      " and the parameters are [-2.80153668  3.80991647] -4.96841092422576 ;\n",
+      "Epoch 540/1000, Cost: 2.5244\n",
+      " and the parameters are [-2.80157826  3.80993438] -4.968381389843724 ;\n",
+      "Epoch 540/1000, Cost: 3.0624\n",
+      " and the parameters are [-2.8016576   3.80992651] -4.968379604219176 ;\n",
+      "Epoch 540/1000, Cost: 2.2882\n",
+      " and the parameters are [-2.80162629  3.80996177] -4.9683924451449295 ;\n",
+      "Epoch 540/1000, Cost: 1.8726\n",
+      " and the parameters are [-2.80158253  3.80999741] -4.9684124434691945 ;\n",
+      "Epoch 540/1000, Cost: 2.6808\n",
+      " and the parameters are [-2.80163033  3.81004029] -4.968388588640173 ;\n",
+      "Epoch 540/1000, Cost: 6.8873\n",
+      " and the parameters are [-2.80161805  3.81010367] -4.96835572553639 ;\n",
+      "Epoch 540/1000, Cost: 3.2008\n",
+      " and the parameters are [-2.801549    3.81022794] -4.968326193441629 ;\n",
+      "Epoch 540/1000, Cost: 1.5763\n",
+      " and the parameters are [-2.8015459   3.81028769] -4.968309950225189 ;\n",
+      "Epoch 540/1000, Cost: 2.5383\n",
+      " and the parameters are [-2.80157302  3.81035105] -4.968277902778935 ;\n",
+      "Epoch 540/1000, Cost: 1.8163\n",
+      " and the parameters are [-2.80160464  3.8103031 ] -4.968317427410257 ;\n",
+      "Epoch 540/1000, Cost: 1.5546\n",
+      " and the parameters are [-2.80162154  3.81032401] -4.968323581491741 ;\n",
+      "Epoch 540/1000, Cost: 4.3698\n",
+      " and the parameters are [-2.80173379  3.81018871] -4.968385107445723 ;\n",
+      "Epoch 540/1000, Cost: 1.1168\n",
+      " and the parameters are [-2.80175122  3.81017108] -4.968415945898969 ;\n",
+      "Epoch 540/1000, Cost: 1.4143\n",
+      " and the parameters are [-2.80176011  3.81020523] -4.968416271540741 ;\n",
+      "Epoch 540/1000, Cost: 1.9631\n",
+      " and the parameters are [-2.80175422  3.81027427] -4.968406501482842 ;\n",
+      "Epoch 540/1000, Cost: 1.6167\n",
+      " and the parameters are [-2.80178626  3.81028279] -4.968422005927552 ;\n",
+      "Epoch 540/1000, Cost: 3.5311\n",
+      " and the parameters are [-2.80183532  3.81028301] -4.968403683703267 ;\n",
+      "Epoch 540/1000, Cost: 1.9601\n",
+      " and the parameters are [-2.80182652  3.81029167] -4.968440226577096 ;\n",
+      "Epoch 540/1000, Cost: 4.1004\n",
+      " and the parameters are [-2.8018516   3.81026138] -4.968491132992253 ;\n",
+      "Epoch 540/1000, Cost: 3.0587\n",
+      " and the parameters are [-2.80190306  3.81029067] -4.968475244279144 ;\n",
+      "Epoch 540/1000, Cost: 1.4526\n",
+      " and the parameters are [-2.8018972   3.81028564] -4.968503811351643 ;\n",
+      "Epoch 540/1000, Cost: 2.0657\n",
+      " and the parameters are [-2.80195469  3.81029439] -4.9685018619456685 ;\n",
+      "Epoch 540/1000, Cost: 3.4200\n",
+      " and the parameters are [-2.80205106  3.81025805] -4.968508040104264 ;\n",
+      "Epoch 540/1000, Cost: 1.6575\n",
+      " and the parameters are [-2.80211171  3.81027803] -4.968482775323881 ;\n",
+      "Epoch 540/1000, Cost: 0.9886\n",
+      " and the parameters are [-2.8021092   3.81032477] -4.968472515686818 ;\n",
+      "Epoch 540/1000, Cost: 2.4146\n",
+      " and the parameters are [-2.80211563  3.8103914 ] -4.9684306400093865 ;\n",
+      "Epoch 540/1000, Cost: 1.1283\n",
+      " and the parameters are [-2.80211327  3.81045285] -4.968416934440298 ;\n",
+      "Epoch 540/1000, Cost: 2.9445\n",
+      " and the parameters are [-2.80212493  3.81040555] -4.968468418674664 ;\n",
+      "Epoch 540/1000, Cost: 8.7081\n",
+      " and the parameters are [-2.80216248  3.81043769] -4.968420035792406 ;\n",
+      "Epoch 540/1000, Cost: 3.0525\n",
+      " and the parameters are [-2.80216325  3.81043533] -4.968459987747181 ;\n",
+      "Epoch 540/1000, Cost: 3.0473\n",
+      " and the parameters are [-2.80213846  3.81046139] -4.96849186856322 ;\n",
+      "Epoch 550/1000, Cost: 1.7850\n",
+      " and the parameters are [-2.81531359  3.82672303] -4.991933316874188 ;\n",
+      "Epoch 550/1000, Cost: 2.7054\n",
+      " and the parameters are [-2.81532002  3.82675093] -4.991931865527923 ;\n",
+      "Epoch 550/1000, Cost: 1.8855\n",
+      " and the parameters are [-2.81531995  3.82675728] -4.991963590215801 ;\n",
+      "Epoch 550/1000, Cost: 2.3091\n",
+      " and the parameters are [-2.81536829  3.82680129] -4.9919164597245125 ;\n",
+      "Epoch 550/1000, Cost: 2.1823\n",
+      " and the parameters are [-2.81536046  3.82685352] -4.9919116078274115 ;\n",
+      "Epoch 550/1000, Cost: 6.1856\n",
+      " and the parameters are [-2.81536939  3.82677655] -4.991967521902889 ;\n",
+      "Epoch 550/1000, Cost: 0.9951\n",
+      " and the parameters are [-2.81537054  3.82679737] -4.991977933854874 ;\n",
+      "Epoch 550/1000, Cost: 0.8710\n",
+      " and the parameters are [-2.81536789  3.82682041] -4.991989358014785 ;\n",
+      "Epoch 550/1000, Cost: 3.7261\n",
+      " and the parameters are [-2.81542304  3.82676041] -4.992033019462395 ;\n",
+      "Epoch 550/1000, Cost: 1.9377\n",
+      " and the parameters are [-2.81543022  3.82676371] -4.992061894693756 ;\n",
+      "Epoch 550/1000, Cost: 1.8889\n",
+      " and the parameters are [-2.81547255  3.82677682] -4.992066739633513 ;\n",
+      "Epoch 550/1000, Cost: 3.7455\n",
+      " and the parameters are [-2.81546115  3.82676357] -4.992115875755694 ;\n",
+      "Epoch 550/1000, Cost: 2.2675\n",
+      " and the parameters are [-2.815498    3.82674067] -4.992152928788914 ;\n",
+      "Epoch 550/1000, Cost: 1.8287\n",
+      " and the parameters are [-2.81549494  3.8268257 ] -4.992127545268071 ;\n",
+      "Epoch 550/1000, Cost: 2.9551\n",
+      " and the parameters are [-2.81549487  3.82682985] -4.992152663927227 ;\n",
+      "Epoch 550/1000, Cost: 2.4479\n",
+      " and the parameters are [-2.81550847  3.82689236] -4.992132305241308 ;\n",
+      "Epoch 550/1000, Cost: 2.6212\n",
+      " and the parameters are [-2.81551865  3.82682896] -4.992204766567504 ;\n",
+      "Epoch 550/1000, Cost: 2.6780\n",
+      " and the parameters are [-2.81557713  3.82684088] -4.9922009042443465 ;\n",
+      "Epoch 550/1000, Cost: 0.9334\n",
+      " and the parameters are [-2.81559585  3.82686205] -4.9921996232402295 ;\n",
+      "Epoch 550/1000, Cost: 3.0378\n",
+      " and the parameters are [-2.81555493  3.82690799] -4.992214057139677 ;\n",
+      "Epoch 550/1000, Cost: 2.3287\n",
+      " and the parameters are [-2.81551742  3.82695739] -4.992241901753576 ;\n",
+      "Epoch 550/1000, Cost: 0.8446\n",
+      " and the parameters are [-2.81550438  3.82697957] -4.992256147456323 ;\n",
+      "Epoch 550/1000, Cost: 3.7300\n",
+      " and the parameters are [-2.81544534  3.82706638] -4.992233901194491 ;\n",
+      "Epoch 550/1000, Cost: 3.8367\n",
+      " and the parameters are [-2.81547537  3.82694062] -4.9923454796739275 ;\n",
+      "Epoch 550/1000, Cost: 4.7137\n",
+      " and the parameters are [-2.81553884  3.82695317] -4.992303312135628 ;\n",
+      "Epoch 550/1000, Cost: 3.1667\n",
+      " and the parameters are [-2.81552819  3.82694602] -4.992345520573461 ;\n",
+      "Epoch 550/1000, Cost: 0.8770\n",
+      " and the parameters are [-2.81554122  3.82694526] -4.992362009272226 ;\n",
+      "Epoch 550/1000, Cost: 4.7692\n",
+      " and the parameters are [-2.8155433   3.82684086] -4.992463660737128 ;\n",
+      "Epoch 550/1000, Cost: 3.2284\n",
+      " and the parameters are [-2.81554719  3.82691593] -4.992430950607342 ;\n",
+      "Epoch 550/1000, Cost: 5.1110\n",
+      " and the parameters are [-2.81555148  3.82695722] -4.99241419907399 ;\n",
+      "Epoch 550/1000, Cost: 2.9640\n",
+      " and the parameters are [-2.81553788  3.82696466] -4.9924492258921935 ;\n",
+      "Epoch 550/1000, Cost: 4.2959\n",
+      " and the parameters are [-2.81555209  3.82685393] -4.992556410050372 ;\n",
+      "Epoch 550/1000, Cost: 2.3001\n",
+      " and the parameters are [-2.81552825  3.82692368] -4.992547674406389 ;\n",
+      "Epoch 550/1000, Cost: 1.9336\n",
+      " and the parameters are [-2.81553254  3.82697658] -4.992541362366682 ;\n",
+      "Epoch 550/1000, Cost: 3.9348\n",
+      " and the parameters are [-2.81551173  3.82698951] -4.992542555098494 ;\n",
+      "Epoch 550/1000, Cost: 5.3432\n",
+      " and the parameters are [-2.81552536  3.82698339] -4.992543997692807 ;\n",
+      "Epoch 550/1000, Cost: 1.5844\n",
+      " and the parameters are [-2.81549864  3.82709712] -4.992508303733222 ;\n",
+      "Epoch 550/1000, Cost: 7.2703\n",
+      " and the parameters are [-2.81561193  3.8269314 ] -4.992576369033295 ;\n",
+      "Epoch 550/1000, Cost: 2.7202\n",
+      " and the parameters are [-2.81564654  3.82704566] -4.992498900100202 ;\n",
+      "Epoch 550/1000, Cost: 5.0327\n",
+      " and the parameters are [-2.81571716  3.82691046] -4.992569237472807 ;\n",
+      "Epoch 550/1000, Cost: 6.3109\n",
+      " and the parameters are [-2.81574082  3.82680463] -4.992641861794848 ;\n",
+      "Epoch 550/1000, Cost: 2.0661\n",
+      " and the parameters are [-2.81578538  3.82671888] -4.992714888975291 ;\n",
+      "Epoch 550/1000, Cost: 2.2761\n",
+      " and the parameters are [-2.81572468  3.82686611] -4.9926720695383136 ;\n",
+      "Epoch 550/1000, Cost: 4.3012\n",
+      " and the parameters are [-2.81566997  3.82702583] -4.992601302213654 ;\n",
+      "Epoch 550/1000, Cost: 2.9994\n",
+      " and the parameters are [-2.81575038  3.82696441] -4.99262092649235 ;\n",
+      "Epoch 550/1000, Cost: 3.4227\n",
+      " and the parameters are [-2.81576827  3.82689175] -4.992696878862208 ;\n",
+      "Epoch 550/1000, Cost: 2.5669\n",
+      " and the parameters are [-2.81574947  3.82686313] -4.992766913289784 ;\n",
+      "Epoch 550/1000, Cost: 2.5383\n",
+      " and the parameters are [-2.81573776  3.82696503] -4.992730450231376 ;\n",
+      "Epoch 550/1000, Cost: 2.5157\n",
+      " and the parameters are [-2.81574748  3.82701599] -4.992709940032902 ;\n",
+      "Epoch 550/1000, Cost: 1.5179\n",
+      " and the parameters are [-2.81579388  3.82704844] -4.992679799508281 ;\n",
+      "Epoch 550/1000, Cost: 4.2811\n",
+      " and the parameters are [-2.81585608  3.82697954] -4.992719941666597 ;\n",
+      "Epoch 550/1000, Cost: 1.5744\n",
+      " and the parameters are [-2.81583135  3.82698468] -4.9927569566749606 ;\n",
+      "Epoch 550/1000, Cost: 3.3166\n",
+      " and the parameters are [-2.81581461  3.82706323] -4.992743763991426 ;\n",
+      "Epoch 550/1000, Cost: 3.3228\n",
+      " and the parameters are [-2.81580915  3.82711367] -4.992740420789807 ;\n",
+      "Epoch 550/1000, Cost: 2.7281\n",
+      " and the parameters are [-2.81578869  3.82715189] -4.992749150894548 ;\n",
+      "Epoch 550/1000, Cost: 2.9081\n",
+      " and the parameters are [-2.81576292  3.82712928] -4.992829972941186 ;\n",
+      "Epoch 550/1000, Cost: 2.8210\n",
+      " and the parameters are [-2.81574004  3.82712465] -4.9928914186016335 ;\n",
+      "Epoch 550/1000, Cost: 4.6153\n",
+      " and the parameters are [-2.81567626  3.82707098] -4.9929833308175215 ;\n",
+      "Epoch 550/1000, Cost: 10.4551\n",
+      " and the parameters are [-2.81561565  3.82722253] -4.992878872730514 ;\n",
+      "Epoch 550/1000, Cost: 1.9172\n",
+      " and the parameters are [-2.8155735   3.82724007] -4.9929249843310535 ;\n",
+      "Epoch 550/1000, Cost: 2.0266\n",
+      " and the parameters are [-2.81559389  3.82722551] -4.992954177330521 ;\n",
+      "Epoch 550/1000, Cost: 2.0603\n",
+      " and the parameters are [-2.81568072  3.82714466] -4.992995556454423 ;\n",
+      "Epoch 550/1000, Cost: 5.1780\n",
+      " and the parameters are [-2.81566091  3.82703404] -4.9930969315027465 ;\n",
+      "Epoch 550/1000, Cost: 2.6352\n",
+      " and the parameters are [-2.81570066  3.82711344] -4.9930370887488085 ;\n",
+      "Epoch 550/1000, Cost: 4.3314\n",
+      " and the parameters are [-2.81578747  3.82689615] -4.993192517915023 ;\n",
+      "Epoch 550/1000, Cost: 3.5004\n",
+      " and the parameters are [-2.81579615  3.8269846 ] -4.993154031849178 ;\n",
+      "Epoch 550/1000, Cost: 3.1781\n",
+      " and the parameters are [-2.81585386  3.82688095] -4.993234387863877 ;\n",
+      "Epoch 550/1000, Cost: 3.6870\n",
+      " and the parameters are [-2.81595291  3.82677036] -4.993284272805843 ;\n",
+      "Epoch 550/1000, Cost: 2.4142\n",
+      " and the parameters are [-2.81601683  3.82683712] -4.993230233512617 ;\n",
+      "Epoch 550/1000, Cost: 3.0754\n",
+      " and the parameters are [-2.8159682   3.82697685] -4.993189138393707 ;\n",
+      "Epoch 550/1000, Cost: 4.5881\n",
+      " and the parameters are [-2.81588028  3.8271079 ] -4.993155492837954 ;\n",
+      "Epoch 550/1000, Cost: 3.5904\n",
+      " and the parameters are [-2.81584429  3.82707706] -4.993225256717478 ;\n",
+      "Epoch 550/1000, Cost: 3.1746\n",
+      " and the parameters are [-2.81584876  3.82701359] -4.993297459822694 ;\n",
+      "Epoch 550/1000, Cost: 2.6940\n",
+      " and the parameters are [-2.8158877   3.82699258] -4.9933246100017765 ;\n",
+      "Epoch 550/1000, Cost: 1.4100\n",
+      " and the parameters are [-2.8159005   3.82703496] -4.9933113228539385 ;\n",
+      "Epoch 550/1000, Cost: 5.1437\n",
+      " and the parameters are [-2.81603087  3.82701056] -4.993266345226236 ;\n",
+      "Epoch 550/1000, Cost: 4.7838\n",
+      " and the parameters are [-2.8161004   3.82704855] -4.993231412967455 ;\n",
+      "Epoch 550/1000, Cost: 2.1813\n",
+      " and the parameters are [-2.81607374  3.82704599] -4.99327030148298 ;\n",
+      "Epoch 550/1000, Cost: 2.8471\n",
+      " and the parameters are [-2.81608669  3.82711026] -4.993247721196819 ;\n",
+      "Epoch 550/1000, Cost: 1.4455\n",
+      " and the parameters are [-2.81608839  3.82716426] -4.993236699265091 ;\n",
+      "Epoch 550/1000, Cost: 2.1558\n",
+      " and the parameters are [-2.81607745  3.82716397] -4.993277263002462 ;\n",
+      "Epoch 550/1000, Cost: 1.9688\n",
+      " and the parameters are [-2.81604253  3.82715149] -4.993312425280571 ;\n",
+      "Epoch 550/1000, Cost: 2.1663\n",
+      " and the parameters are [-2.81600819  3.82719048] -4.99332360460623 ;\n",
+      "Epoch 550/1000, Cost: 5.1376\n",
+      " and the parameters are [-2.81610949  3.82720274] -4.993264144217923 ;\n",
+      "Epoch 550/1000, Cost: 1.9507\n",
+      " and the parameters are [-2.81611473  3.82724912] -4.993257280622989 ;\n",
+      "Epoch 550/1000, Cost: 3.4023\n",
+      " and the parameters are [-2.81622205  3.82711028] -4.993329469423197 ;\n",
+      "Epoch 550/1000, Cost: 2.8554\n",
+      " and the parameters are [-2.81619826  3.82703346] -4.9934168923124576 ;\n",
+      "Epoch 550/1000, Cost: 3.1325\n",
+      " and the parameters are [-2.81627553  3.82703894] -4.993403051978453 ;\n",
+      "Epoch 550/1000, Cost: 2.0457\n",
+      " and the parameters are [-2.81634093  3.82703774] -4.99340167178518 ;\n",
+      "Epoch 550/1000, Cost: 3.2543\n",
+      " and the parameters are [-2.81642065  3.82707955] -4.993336098869586 ;\n",
+      "Epoch 550/1000, Cost: 6.7839\n",
+      " and the parameters are [-2.81639158  3.82706621] -4.993364290233359 ;\n",
+      "Epoch 550/1000, Cost: 1.0207\n",
+      " and the parameters are [-2.81637208  3.82711807] -4.993356613496369 ;\n",
+      "Epoch 550/1000, Cost: 1.7176\n",
+      " and the parameters are [-2.8163884   3.82713842] -4.993367977275415 ;\n",
+      "Epoch 550/1000, Cost: 2.3537\n",
+      " and the parameters are [-2.81639838  3.8271952 ] -4.993338358718328 ;\n",
+      "Epoch 550/1000, Cost: 2.5420\n",
+      " and the parameters are [-2.81641022  3.82722701] -4.993331039802956 ;\n",
+      "Epoch 550/1000, Cost: 2.6386\n",
+      " and the parameters are [-2.81647213  3.82722315] -4.993335384278632 ;\n",
+      "Epoch 550/1000, Cost: 5.9653\n",
+      " and the parameters are [-2.81649342  3.82734937] -4.993240828820935 ;\n",
+      "Epoch 550/1000, Cost: 6.1643\n",
+      " and the parameters are [-2.81641404  3.82735262] -4.993317806605534 ;\n",
+      "Epoch 550/1000, Cost: 2.0445\n",
+      " and the parameters are [-2.81644863  3.82732783] -4.99335651097752 ;\n",
+      "Epoch 550/1000, Cost: 3.8175\n",
+      " and the parameters are [-2.81637184  3.82732899] -4.993423153251253 ;\n",
+      "Epoch 550/1000, Cost: 4.5684\n",
+      " and the parameters are [-2.81650411  3.82735283] -4.993349142163482 ;\n",
+      "Epoch 550/1000, Cost: 1.9842\n",
+      " and the parameters are [-2.81654571  3.82734185] -4.993357939573176 ;\n",
+      "Epoch 550/1000, Cost: 3.8668\n",
+      " and the parameters are [-2.81652023  3.82737581] -4.99338694932501 ;\n",
+      "Epoch 550/1000, Cost: 3.4330\n",
+      " and the parameters are [-2.81650136  3.82734183] -4.993441743438066 ;\n",
+      "Epoch 550/1000, Cost: 3.3418\n",
+      " and the parameters are [-2.81649161  3.82730016] -4.993509112724409 ;\n",
+      "Epoch 550/1000, Cost: 3.7012\n",
+      " and the parameters are [-2.81651879  3.82734521] -4.993477828592003 ;\n",
+      "Epoch 550/1000, Cost: 5.4717\n",
+      " and the parameters are [-2.81655665  3.82719916] -4.993563328445597 ;\n",
+      "Epoch 550/1000, Cost: 3.6299\n",
+      " and the parameters are [-2.81662827  3.82725422] -4.9935148010985335 ;\n",
+      "Epoch 550/1000, Cost: 3.2943\n",
+      " and the parameters are [-2.81660353  3.82718575] -4.9935970473351174 ;\n",
+      "Epoch 550/1000, Cost: 3.1696\n",
+      " and the parameters are [-2.8165862   3.82723424] -4.993607541475451 ;\n",
+      "Epoch 550/1000, Cost: 6.5916\n",
+      " and the parameters are [-2.81659964  3.82739672] -4.993478179278034 ;\n",
+      "Epoch 550/1000, Cost: 4.4933\n",
+      " and the parameters are [-2.81656344  3.82738072] -4.993533066932558 ;\n",
+      "Epoch 550/1000, Cost: 0.7999\n",
+      " and the parameters are [-2.81657259  3.82737753] -4.993550518174528 ;\n",
+      "Epoch 550/1000, Cost: 1.7915\n",
+      " and the parameters are [-2.81651878  3.82744695] -4.993556929214833 ;\n",
+      "Epoch 550/1000, Cost: 0.7229\n",
+      " and the parameters are [-2.81652696  3.82746265] -4.99356225340845 ;\n",
+      "Epoch 550/1000, Cost: 3.9551\n",
+      " and the parameters are [-2.81652788  3.8275221 ] -4.99352744564746 ;\n",
+      "Epoch 550/1000, Cost: 5.1305\n",
+      " and the parameters are [-2.81655709  3.82748198] -4.993546269987207 ;\n",
+      "Epoch 550/1000, Cost: 2.5121\n",
+      " and the parameters are [-2.81659679  3.82746466] -4.993551699723629 ;\n",
+      "Epoch 550/1000, Cost: 1.9827\n",
+      " and the parameters are [-2.81658869  3.82749941] -4.993559458002749 ;\n",
+      "Epoch 550/1000, Cost: 4.6939\n",
+      " and the parameters are [-2.81658424  3.82744456] -4.993628875526399 ;\n",
+      "Epoch 550/1000, Cost: 2.3385\n",
+      " and the parameters are [-2.81659928  3.82752533] -4.993598484669305 ;\n",
+      "Epoch 550/1000, Cost: 1.7589\n",
+      " and the parameters are [-2.81661144  3.82753389] -4.993611340953699 ;\n",
+      "Epoch 550/1000, Cost: 2.4062\n",
+      " and the parameters are [-2.81660603  3.82761165] -4.993567647203418 ;\n",
+      "Epoch 550/1000, Cost: 4.0603\n",
+      " and the parameters are [-2.81658577  3.82766723] -4.993565552695869 ;\n",
+      "Epoch 550/1000, Cost: 3.8142\n",
+      " and the parameters are [-2.81662418  3.82761694] -4.99361249926828 ;\n",
+      "Epoch 550/1000, Cost: 4.1154\n",
+      " and the parameters are [-2.81661552  3.82754301] -4.993698747402065 ;\n",
+      "Epoch 550/1000, Cost: 6.6413\n",
+      " and the parameters are [-2.81657758  3.82751622] -4.993741169823718 ;\n",
+      "Epoch 550/1000, Cost: 4.4274\n",
+      " and the parameters are [-2.81656458  3.82768694] -4.993653233593568 ;\n",
+      "Epoch 550/1000, Cost: 4.0643\n",
+      " and the parameters are [-2.81659507  3.82765956] -4.993686776215953 ;\n",
+      "Epoch 550/1000, Cost: 3.5237\n",
+      " and the parameters are [-2.81662793  3.82764191] -4.993706169787728 ;\n",
+      "Epoch 550/1000, Cost: 1.0166\n",
+      " and the parameters are [-2.8166283   3.82769174] -4.993694980474823 ;\n",
+      "Epoch 550/1000, Cost: 1.7850\n",
+      " and the parameters are [-2.8166047   3.82773012] -4.993706715349784 ;\n",
+      "Epoch 550/1000, Cost: 5.7422\n",
+      " and the parameters are [-2.81666091  3.82767693] -4.993707222348349 ;\n",
+      "Epoch 550/1000, Cost: 6.8018\n",
+      " and the parameters are [-2.8166919   3.82755503] -4.993791899634008 ;\n",
+      "Epoch 550/1000, Cost: 3.5896\n",
+      " and the parameters are [-2.8167353   3.82751833] -4.993841903047414 ;\n",
+      "Epoch 550/1000, Cost: 1.2233\n",
+      " and the parameters are [-2.8167445   3.82756771] -4.993830849392426 ;\n",
+      "Epoch 550/1000, Cost: 3.9565\n",
+      " and the parameters are [-2.81684166  3.82748586] -4.99385614218478 ;\n",
+      "Epoch 550/1000, Cost: 1.0979\n",
+      " and the parameters are [-2.81682566  3.82751322] -4.993874014245523 ;\n",
+      "Epoch 550/1000, Cost: 1.8915\n",
+      " and the parameters are [-2.81684148  3.82753236] -4.993884367029209 ;\n",
+      "Epoch 550/1000, Cost: 3.1334\n",
+      " and the parameters are [-2.81682401  3.82756107] -4.993914420615132 ;\n",
+      "Epoch 550/1000, Cost: 3.9482\n",
+      " and the parameters are [-2.81682166  3.82756989] -4.993932850941365 ;\n",
+      "Epoch 550/1000, Cost: 5.2540\n",
+      " and the parameters are [-2.81689404  3.82761964] -4.993868650549256 ;\n",
+      "Epoch 550/1000, Cost: 4.1518\n",
+      " and the parameters are [-2.8168246   3.82761561] -4.993934598625133 ;\n",
+      "Epoch 550/1000, Cost: 1.9267\n",
+      " and the parameters are [-2.81688093  3.82755684] -4.993973718045919 ;\n",
+      "Epoch 550/1000, Cost: 3.3365\n",
+      " and the parameters are [-2.81689305  3.82754961] -4.993977323955452 ;\n",
+      "Epoch 550/1000, Cost: 6.4879\n",
+      " and the parameters are [-2.81683305  3.82759446] -4.993956398774029 ;\n",
+      "Epoch 550/1000, Cost: 1.4105\n",
+      " and the parameters are [-2.81682021  3.82764896] -4.993947964961359 ;\n",
+      "Epoch 550/1000, Cost: 1.9231\n",
+      " and the parameters are [-2.81681194  3.82767977] -4.993960852690451 ;\n",
+      "Epoch 550/1000, Cost: 6.9788\n",
+      " and the parameters are [-2.81681596  3.82767307] -4.993968310182826 ;\n",
+      "Epoch 550/1000, Cost: 4.4396\n",
+      " and the parameters are [-2.81680276  3.82772565] -4.9939557007550235 ;\n",
+      "Epoch 550/1000, Cost: 2.7396\n",
+      " and the parameters are [-2.81682592  3.82777415] -4.993933770199575 ;\n",
+      "Epoch 550/1000, Cost: 4.7304\n",
+      " and the parameters are [-2.81678852  3.82772009] -4.993998713975907 ;\n",
+      "Epoch 550/1000, Cost: 1.2356\n",
+      " and the parameters are [-2.8168074   3.82772131] -4.994010940728107 ;\n",
+      "Epoch 550/1000, Cost: 3.6279\n",
+      " and the parameters are [-2.81688768  3.82764468] -4.99404948156369 ;\n",
+      "Epoch 550/1000, Cost: 1.0433\n",
+      " and the parameters are [-2.816869    3.82768746] -4.9940531709654685 ;\n",
+      "Epoch 550/1000, Cost: 1.3553\n",
+      " and the parameters are [-2.81687238  3.82775474] -4.994032379821848 ;\n",
+      "Epoch 550/1000, Cost: 4.5351\n",
+      " and the parameters are [-2.81686054  3.82788847] -4.993961591037502 ;\n",
+      "Epoch 550/1000, Cost: 2.8474\n",
+      " and the parameters are [-2.81686389  3.82789291] -4.9939806895189385 ;\n",
+      "Epoch 550/1000, Cost: 3.3807\n",
+      " and the parameters are [-2.81689543  3.82801286] -4.993881926253727 ;\n",
+      "Epoch 550/1000, Cost: 2.0135\n",
+      " and the parameters are [-2.816878    3.82799722] -4.993927843789267 ;\n",
+      "Epoch 550/1000, Cost: 2.2273\n",
+      " and the parameters are [-2.81683751  3.82803878] -4.993954115306184 ;\n",
+      "Epoch 550/1000, Cost: 3.3209\n",
+      " and the parameters are [-2.81679367  3.82797251] -4.994060540741034 ;\n",
+      "Epoch 550/1000, Cost: 4.8330\n",
+      " and the parameters are [-2.81676609  3.82801265] -4.994061615723764 ;\n",
+      "Epoch 550/1000, Cost: 3.3129\n",
+      " and the parameters are [-2.81676629  3.82804713] -4.994053853052406 ;\n",
+      "Epoch 550/1000, Cost: 3.6436\n",
+      " and the parameters are [-2.81683041  3.82815166] -4.993963701021781 ;\n",
+      "Epoch 550/1000, Cost: 3.3306\n",
+      " and the parameters are [-2.81683341  3.82820001] -4.993958566064968 ;\n",
+      "Epoch 550/1000, Cost: 3.7087\n",
+      " and the parameters are [-2.81683589  3.82808903] -4.994058041404819 ;\n",
+      "Epoch 550/1000, Cost: 7.3256\n",
+      " and the parameters are [-2.81682118  3.82809547] -4.994057913369166 ;\n",
+      "Epoch 550/1000, Cost: 4.7579\n",
+      " and the parameters are [-2.81678257  3.82809993] -4.994088113412399 ;\n",
+      "Epoch 550/1000, Cost: 2.0362\n",
+      " and the parameters are [-2.81669177  3.82815178] -4.994125414562166 ;\n",
+      "Epoch 550/1000, Cost: 5.0315\n",
+      " and the parameters are [-2.81675047  3.82799062] -4.994229652104535 ;\n",
+      "Epoch 550/1000, Cost: 2.3289\n",
+      " and the parameters are [-2.81676171  3.82805086] -4.994210330410623 ;\n",
+      "Epoch 550/1000, Cost: 3.5793\n",
+      " and the parameters are [-2.81678086  3.82819523] -4.994122043595195 ;\n",
+      "Epoch 550/1000, Cost: 2.9637\n",
+      " and the parameters are [-2.81680643  3.82815368] -4.994171565044558 ;\n",
+      "Epoch 550/1000, Cost: 1.2401\n",
+      " and the parameters are [-2.81680616  3.82817533] -4.994185660971231 ;\n",
+      "Epoch 550/1000, Cost: 5.4997\n",
+      " and the parameters are [-2.81682192  3.82820477] -4.994148309027125 ;\n",
+      "Epoch 550/1000, Cost: 1.9557\n",
+      " and the parameters are [-2.81682489  3.82815441] -4.994214147639983 ;\n",
+      "Epoch 550/1000, Cost: 1.1553\n",
+      " and the parameters are [-2.8167729   3.82820307] -4.994228823062013 ;\n",
+      "Epoch 550/1000, Cost: 3.8076\n",
+      " and the parameters are [-2.81677513  3.82824404] -4.9942205463826 ;\n",
+      "Epoch 550/1000, Cost: 4.7280\n",
+      " and the parameters are [-2.81678172  3.82813111] -4.9943146208895834 ;\n",
+      "Epoch 550/1000, Cost: 4.1067\n",
+      " and the parameters are [-2.81680448  3.82808705] -4.99434222754976 ;\n",
+      "Epoch 550/1000, Cost: 4.4619\n",
+      " and the parameters are [-2.81683328  3.82804997] -4.994369252309509 ;\n",
+      "Epoch 550/1000, Cost: 2.6464\n",
+      " and the parameters are [-2.81681809  3.82805429] -4.994400982317353 ;\n",
+      "Epoch 550/1000, Cost: 1.5777\n",
+      " and the parameters are [-2.81678029  3.82812177] -4.994398862392258 ;\n",
+      "Epoch 550/1000, Cost: 1.7107\n",
+      " and the parameters are [-2.81677681  3.82821248] -4.994362759827183 ;\n",
+      "Epoch 550/1000, Cost: 1.5931\n",
+      " and the parameters are [-2.81675302  3.82828101] -4.994349369688342 ;\n",
+      "Epoch 550/1000, Cost: 3.4154\n",
+      " and the parameters are [-2.81678873  3.82819762] -4.994423188184341 ;\n",
+      "Epoch 550/1000, Cost: 1.5787\n",
+      " and the parameters are [-2.81672619  3.82823314] -4.994458620301979 ;\n",
+      "Epoch 550/1000, Cost: 4.7785\n",
+      " and the parameters are [-2.81686462  3.828004  ] -4.994578500210578 ;\n",
+      "Epoch 550/1000, Cost: 5.3735\n",
+      " and the parameters are [-2.81682987  3.82804573] -4.994573546660156 ;\n",
+      "Epoch 550/1000, Cost: 3.1893\n",
+      " and the parameters are [-2.81679059  3.82809857] -4.9945680991711106 ;\n",
+      "Epoch 550/1000, Cost: 1.3079\n",
+      " and the parameters are [-2.81677529  3.82810913] -4.994601903288115 ;\n",
+      "Epoch 550/1000, Cost: 4.6037\n",
+      " and the parameters are [-2.81663088  3.82834456] -4.994521219361481 ;\n",
+      "Epoch 550/1000, Cost: 4.2670\n",
+      " and the parameters are [-2.81660418  3.8284582 ] -4.994480620949835 ;\n",
+      "Epoch 550/1000, Cost: 1.2834\n",
+      " and the parameters are [-2.81659594  3.82844029] -4.994524470122155 ;\n",
+      "Epoch 550/1000, Cost: 1.7056\n",
+      " and the parameters are [-2.81659832  3.82845719] -4.994545918442029 ;\n",
+      "Epoch 550/1000, Cost: 8.7073\n",
+      " and the parameters are [-2.81660465  3.82850177] -4.9944762781245196 ;\n",
+      "Epoch 550/1000, Cost: 2.9340\n",
+      " and the parameters are [-2.81665654  3.82847785] -4.994493418937875 ;\n",
+      "Epoch 550/1000, Cost: 2.3219\n",
+      " and the parameters are [-2.81665034  3.82860774] -4.994432989989481 ;\n",
+      "Epoch 550/1000, Cost: 2.5138\n",
+      " and the parameters are [-2.81673369  3.82853488] -4.994477703859128 ;\n",
+      "Epoch 560/1000, Cost: 6.0463\n",
+      " and the parameters are [-2.82972743  3.84459296] -5.017416396266943 ;\n",
+      "Epoch 560/1000, Cost: 10.2809\n",
+      " and the parameters are [-2.8297444  3.844527 ] -5.017420069775714 ;\n",
+      "Epoch 560/1000, Cost: 4.8448\n",
+      " and the parameters are [-2.82974427  3.84447945] -5.01746236649038 ;\n",
+      "Epoch 560/1000, Cost: 2.4525\n",
+      " and the parameters are [-2.82980413  3.84444313] -5.017476839104952 ;\n",
+      "Epoch 560/1000, Cost: 2.1206\n",
+      " and the parameters are [-2.82977802  3.84443256] -5.017526892349585 ;\n",
+      "Epoch 560/1000, Cost: 2.8206\n",
+      " and the parameters are [-2.82975398  3.84457202] -5.017451669629469 ;\n",
+      "Epoch 560/1000, Cost: 2.6127\n",
+      " and the parameters are [-2.82979715  3.84465263] -5.017395725307289 ;\n",
+      "Epoch 560/1000, Cost: 1.8202\n",
+      " and the parameters are [-2.82983973  3.84465923] -5.017393614693108 ;\n",
+      "Epoch 560/1000, Cost: 1.3310\n",
+      " and the parameters are [-2.82983339  3.8446959 ] -5.017400631145741 ;\n",
+      "Epoch 560/1000, Cost: 5.8724\n",
+      " and the parameters are [-2.82976905  3.8447906 ] -5.017376236857136 ;\n",
+      "Epoch 560/1000, Cost: 3.0939\n",
+      " and the parameters are [-2.82982946  3.84467736] -5.0174664417213055 ;\n",
+      "Epoch 560/1000, Cost: 1.8984\n",
+      " and the parameters are [-2.82981419  3.84475415] -5.01743785801568 ;\n",
+      "Epoch 560/1000, Cost: 2.7753\n",
+      " and the parameters are [-2.82983615  3.84476058] -5.017451933570751 ;\n",
+      "Epoch 560/1000, Cost: 3.9805\n",
+      " and the parameters are [-2.82982212  3.84472653] -5.017496059197918 ;\n",
+      "Epoch 560/1000, Cost: 4.5285\n",
+      " and the parameters are [-2.82985983  3.84481245] -5.01745285980063 ;\n",
+      "Epoch 560/1000, Cost: 1.5745\n",
+      " and the parameters are [-2.82982847  3.84484795] -5.017472500912637 ;\n",
+      "Epoch 560/1000, Cost: 4.4075\n",
+      " and the parameters are [-2.82979958  3.84487664] -5.01749865726297 ;\n",
+      "Epoch 560/1000, Cost: 3.6170\n",
+      " and the parameters are [-2.82982271  3.84488242] -5.017513895585945 ;\n",
+      "Epoch 560/1000, Cost: 2.8634\n",
+      " and the parameters are [-2.82976533  3.84500102] -5.017489914889096 ;\n",
+      "Epoch 560/1000, Cost: 2.3770\n",
+      " and the parameters are [-2.82975332  3.84501897] -5.017507189812754 ;\n",
+      "Epoch 560/1000, Cost: 1.6929\n",
+      " and the parameters are [-2.82978338  3.84499339] -5.017530013464846 ;\n",
+      "Epoch 560/1000, Cost: 3.7628\n",
+      " and the parameters are [-2.82977252  3.84510527] -5.017486016704192 ;\n",
+      "Epoch 560/1000, Cost: 6.8342\n",
+      " and the parameters are [-2.82984462  3.84497313] -5.0175647625728095 ;\n",
+      "Epoch 560/1000, Cost: 1.0331\n",
+      " and the parameters are [-2.82986942  3.84499165] -5.017564146536719 ;\n",
+      "Epoch 560/1000, Cost: 1.5662\n",
+      " and the parameters are [-2.82987116  3.84502477] -5.017566975980799 ;\n",
+      "Epoch 560/1000, Cost: 2.3454\n",
+      " and the parameters are [-2.82984209  3.84508668] -5.0175652339104655 ;\n",
+      "Epoch 560/1000, Cost: 5.2533\n",
+      " and the parameters are [-2.82984533  3.84506072] -5.017579234911758 ;\n",
+      "Epoch 560/1000, Cost: 5.0469\n",
+      " and the parameters are [-2.8298036   3.84502283] -5.017664495751138 ;\n",
+      "Epoch 560/1000, Cost: 1.1603\n",
+      " and the parameters are [-2.82980604  3.84506831] -5.017654547011392 ;\n",
+      "Epoch 560/1000, Cost: 4.9653\n",
+      " and the parameters are [-2.82973782  3.84523507] -5.017580518577693 ;\n",
+      "Epoch 560/1000, Cost: 5.0051\n",
+      " and the parameters are [-2.82965787  3.84518359] -5.017673099884962 ;\n",
+      "Epoch 560/1000, Cost: 1.6050\n",
+      " and the parameters are [-2.82970467  3.84518576] -5.017671011176954 ;\n",
+      "Epoch 560/1000, Cost: 4.7198\n",
+      " and the parameters are [-2.8297121   3.84521127] -5.017666332459666 ;\n",
+      "Epoch 560/1000, Cost: 1.8479\n",
+      " and the parameters are [-2.82968191  3.8452355 ] -5.017697420111336 ;\n",
+      "Epoch 560/1000, Cost: 2.3407\n",
+      " and the parameters are [-2.82973196  3.84522564] -5.017716516119838 ;\n",
+      "Epoch 560/1000, Cost: 1.6788\n",
+      " and the parameters are [-2.82971485  3.84524037] -5.017742482474673 ;\n",
+      "Epoch 560/1000, Cost: 1.6760\n",
+      " and the parameters are [-2.82969907  3.84528881] -5.017742500344107 ;\n",
+      "Epoch 560/1000, Cost: 2.3186\n",
+      " and the parameters are [-2.82966868  3.84524693] -5.017822206945661 ;\n",
+      "Epoch 560/1000, Cost: 3.3611\n",
+      " and the parameters are [-2.8296478   3.84531445] -5.017819014664355 ;\n",
+      "Epoch 560/1000, Cost: 2.4868\n",
+      " and the parameters are [-2.82966911  3.84533972] -5.017825468408811 ;\n",
+      "Epoch 560/1000, Cost: 2.5997\n",
+      " and the parameters are [-2.82971358  3.84528752] -5.017859096397492 ;\n",
+      "Epoch 560/1000, Cost: 4.5137\n",
+      " and the parameters are [-2.82973311  3.84543903] -5.0177576411082745 ;\n",
+      "Epoch 560/1000, Cost: 2.8207\n",
+      " and the parameters are [-2.82979321  3.84543292] -5.01775876794565 ;\n",
+      "Epoch 560/1000, Cost: 1.2552\n",
+      " and the parameters are [-2.82980104  3.84541133] -5.017798375444269 ;\n",
+      "Epoch 560/1000, Cost: 0.7807\n",
+      " and the parameters are [-2.82979226  3.8454457 ] -5.017800705951648 ;\n",
+      "Epoch 560/1000, Cost: 2.1533\n",
+      " and the parameters are [-2.82975475  3.84548926] -5.017823935958641 ;\n",
+      "Epoch 560/1000, Cost: 0.7657\n",
+      " and the parameters are [-2.82977462  3.8455098 ] -5.01781897001678 ;\n",
+      "Epoch 560/1000, Cost: 3.9214\n",
+      " and the parameters are [-2.82973698  3.84560096] -5.017780930348788 ;\n",
+      "Epoch 560/1000, Cost: 2.9178\n",
+      " and the parameters are [-2.82977201  3.84552552] -5.017835502476352 ;\n",
+      "Epoch 560/1000, Cost: 2.1451\n",
+      " and the parameters are [-2.82977516  3.84556483] -5.017838318344969 ;\n",
+      "Epoch 560/1000, Cost: 3.1211\n",
+      " and the parameters are [-2.82977178  3.84553935] -5.0178907137949365 ;\n",
+      "Epoch 560/1000, Cost: 2.3242\n",
+      " and the parameters are [-2.8297165   3.84562569] -5.017882115817562 ;\n",
+      "Epoch 560/1000, Cost: 3.0002\n",
+      " and the parameters are [-2.82975392  3.84560356] -5.017915461723542 ;\n",
+      "Epoch 560/1000, Cost: 2.3922\n",
+      " and the parameters are [-2.82975093  3.84559704] -5.017936361243088 ;\n",
+      "Epoch 560/1000, Cost: 2.9237\n",
+      " and the parameters are [-2.82975572  3.84562421] -5.017941309369113 ;\n",
+      "Epoch 560/1000, Cost: 1.4437\n",
+      " and the parameters are [-2.82978961  3.84564074] -5.01793783710422 ;\n",
+      "Epoch 560/1000, Cost: 5.1629\n",
+      " and the parameters are [-2.82979209  3.8456412 ] -5.017960631268826 ;\n",
+      "Epoch 560/1000, Cost: 1.0058\n",
+      " and the parameters are [-2.82980042  3.84565498] -5.017971086795691 ;\n",
+      "Epoch 560/1000, Cost: 3.2583\n",
+      " and the parameters are [-2.82977934  3.84561984] -5.018024084783285 ;\n",
+      "Epoch 560/1000, Cost: 1.8217\n",
+      " and the parameters are [-2.82981071  3.84560104] -5.018056327338183 ;\n",
+      "Epoch 560/1000, Cost: 2.0176\n",
+      " and the parameters are [-2.82981745  3.84566193] -5.018028864353398 ;\n",
+      "Epoch 560/1000, Cost: 2.4995\n",
+      " and the parameters are [-2.82984057  3.84562553] -5.018081176965809 ;\n",
+      "Epoch 560/1000, Cost: 3.1876\n",
+      " and the parameters are [-2.82980685  3.8456011 ] -5.018121110573664 ;\n",
+      "Epoch 560/1000, Cost: 3.4891\n",
+      " and the parameters are [-2.82985942  3.84557583] -5.018129553501743 ;\n",
+      "Epoch 560/1000, Cost: 2.9653\n",
+      " and the parameters are [-2.82984292  3.84564481] -5.018126504904654 ;\n",
+      "Epoch 560/1000, Cost: 2.2270\n",
+      " and the parameters are [-2.82983243  3.8457326 ] -5.0181047362940525 ;\n",
+      "Epoch 560/1000, Cost: 2.9174\n",
+      " and the parameters are [-2.82980841  3.845831  ] -5.018068549302428 ;\n",
+      "Epoch 560/1000, Cost: 1.8626\n",
+      " and the parameters are [-2.82984337  3.84584671] -5.018069162409031 ;\n",
+      "Epoch 560/1000, Cost: 2.5107\n",
+      " and the parameters are [-2.8298509   3.84584511] -5.01810022418612 ;\n",
+      "Epoch 560/1000, Cost: 3.7151\n",
+      " and the parameters are [-2.82991877  3.84573421] -5.018151896991182 ;\n",
+      "Epoch 560/1000, Cost: 3.1153\n",
+      " and the parameters are [-2.82988255  3.84578188] -5.018161054480218 ;\n",
+      "Epoch 560/1000, Cost: 4.6062\n",
+      " and the parameters are [-2.82990856  3.84567834] -5.018255179384221 ;\n",
+      "Epoch 560/1000, Cost: 2.4955\n",
+      " and the parameters are [-2.82995383  3.84564172] -5.018287501967001 ;\n",
+      "Epoch 560/1000, Cost: 6.7238\n",
+      " and the parameters are [-2.82989516  3.84579684] -5.018214984008492 ;\n",
+      "Epoch 560/1000, Cost: 7.9110\n",
+      " and the parameters are [-2.82998462  3.84573289] -5.0182069758999175 ;\n",
+      "Epoch 560/1000, Cost: 2.9835\n",
+      " and the parameters are [-2.82995672  3.84575169] -5.018238545364335 ;\n",
+      "Epoch 560/1000, Cost: 2.3665\n",
+      " and the parameters are [-2.83001836  3.84576531] -5.01822323021852 ;\n",
+      "Epoch 560/1000, Cost: 5.9428\n",
+      " and the parameters are [-2.83003715  3.84581726] -5.018173874948509 ;\n",
+      "Epoch 560/1000, Cost: 9.7163\n",
+      " and the parameters are [-2.83014138  3.84564704] -5.018205171841694 ;\n",
+      "Epoch 560/1000, Cost: 2.4096\n",
+      " and the parameters are [-2.830084    3.84574335] -5.018189664657553 ;\n",
+      "Epoch 560/1000, Cost: 1.6875\n",
+      " and the parameters are [-2.83010514  3.84576087] -5.018190529393592 ;\n",
+      "Epoch 560/1000, Cost: 2.8200\n",
+      " and the parameters are [-2.83009725  3.84581706] -5.018193229316133 ;\n",
+      "Epoch 560/1000, Cost: 4.1882\n",
+      " and the parameters are [-2.83011557  3.84579453] -5.018234493203249 ;\n",
+      "Epoch 560/1000, Cost: 6.0275\n",
+      " and the parameters are [-2.83016632  3.84562627] -5.0183273107677255 ;\n",
+      "Epoch 560/1000, Cost: 3.6317\n",
+      " and the parameters are [-2.83017243  3.84580761] -5.018221992558231 ;\n",
+      "Epoch 560/1000, Cost: 3.3824\n",
+      " and the parameters are [-2.83021718  3.84588296] -5.018173615282435 ;\n",
+      "Epoch 560/1000, Cost: 2.0590\n",
+      " and the parameters are [-2.83025137  3.84585646] -5.01820268954348 ;\n",
+      "Epoch 560/1000, Cost: 5.3363\n",
+      " and the parameters are [-2.83020834  3.84602962] -5.018097276276667 ;\n",
+      "Epoch 560/1000, Cost: 5.4625\n",
+      " and the parameters are [-2.83026715  3.84609302] -5.018039780955343 ;\n",
+      "Epoch 560/1000, Cost: 2.9996\n",
+      " and the parameters are [-2.83023935  3.84610841] -5.018056243853041 ;\n",
+      "Epoch 560/1000, Cost: 3.1391\n",
+      " and the parameters are [-2.83022243  3.84605003] -5.0181351746299905 ;\n",
+      "Epoch 560/1000, Cost: 2.8788\n",
+      " and the parameters are [-2.8301579   3.84612683] -5.018134213327748 ;\n",
+      "Epoch 560/1000, Cost: 3.1606\n",
+      " and the parameters are [-2.83020766  3.84612968] -5.018146376109461 ;\n",
+      "Epoch 560/1000, Cost: 2.0115\n",
+      " and the parameters are [-2.83024989  3.84609859] -5.018181569217576 ;\n",
+      "Epoch 560/1000, Cost: 3.0098\n",
+      " and the parameters are [-2.83034623  3.84597047] -5.018254398213563 ;\n",
+      "Epoch 560/1000, Cost: 3.7131\n",
+      " and the parameters are [-2.83036479  3.84592708] -5.018288953702716 ;\n",
+      "Epoch 560/1000, Cost: 2.3933\n",
+      " and the parameters are [-2.8303425   3.84594289] -5.018325667671799 ;\n",
+      "Epoch 560/1000, Cost: 5.6963\n",
+      " and the parameters are [-2.83025469  3.84587548] -5.018433426073737 ;\n",
+      "Epoch 560/1000, Cost: 2.3789\n",
+      " and the parameters are [-2.83021519  3.8460054 ] -5.018385269380471 ;\n",
+      "Epoch 560/1000, Cost: 2.3156\n",
+      " and the parameters are [-2.83023411  3.84607796] -5.018364912616819 ;\n",
+      "Epoch 560/1000, Cost: 5.0682\n",
+      " and the parameters are [-2.83036059  3.84601748] -5.018368876626749 ;\n",
+      "Epoch 560/1000, Cost: 3.8917\n",
+      " and the parameters are [-2.83032681  3.84601922] -5.0184195718861275 ;\n",
+      "Epoch 560/1000, Cost: 3.3096\n",
+      " and the parameters are [-2.83030773  3.84600629] -5.018472154791944 ;\n",
+      "Epoch 560/1000, Cost: 3.9943\n",
+      " and the parameters are [-2.83036958  3.84596339] -5.0184855873956655 ;\n",
+      "Epoch 560/1000, Cost: 1.6749\n",
+      " and the parameters are [-2.83038647  3.84597117] -5.018504575527166 ;\n",
+      "Epoch 560/1000, Cost: 1.4189\n",
+      " and the parameters are [-2.83039101  3.84598056] -5.018524594602925 ;\n",
+      "Epoch 560/1000, Cost: 1.8018\n",
+      " and the parameters are [-2.83038069  3.84603813] -5.0185110643090125 ;\n",
+      "Epoch 560/1000, Cost: 3.4697\n",
+      " and the parameters are [-2.83037751  3.8461196 ] -5.01846898529407 ;\n",
+      "Epoch 560/1000, Cost: 3.0206\n",
+      " and the parameters are [-2.83046449  3.84606755] -5.018491551528376 ;\n",
+      "Epoch 560/1000, Cost: 5.4628\n",
+      " and the parameters are [-2.83039921  3.846101  ] -5.018507414392259 ;\n",
+      "Epoch 560/1000, Cost: 2.2415\n",
+      " and the parameters are [-2.83037997  3.84617282] -5.018504118845512 ;\n",
+      "Epoch 560/1000, Cost: 2.6288\n",
+      " and the parameters are [-2.83042369  3.84606533] -5.018586842933755 ;\n",
+      "Epoch 560/1000, Cost: 2.6979\n",
+      " and the parameters are [-2.83041016  3.84600012] -5.018661674284425 ;\n",
+      "Epoch 560/1000, Cost: 3.2147\n",
+      " and the parameters are [-2.8303747   3.84595394] -5.01873371170753 ;\n",
+      "Epoch 560/1000, Cost: 3.0842\n",
+      " and the parameters are [-2.83038     3.84596516] -5.018753553192289 ;\n",
+      "Epoch 560/1000, Cost: 7.4890\n",
+      " and the parameters are [-2.83043539  3.84588525] -5.018756866027521 ;\n",
+      "Epoch 560/1000, Cost: 0.8179\n",
+      " and the parameters are [-2.83045577  3.84590354] -5.01875371876079 ;\n",
+      "Epoch 560/1000, Cost: 5.1774\n",
+      " and the parameters are [-2.83054637  3.84581658] -5.018778369502641 ;\n",
+      "Epoch 560/1000, Cost: 1.8146\n",
+      " and the parameters are [-2.83059004  3.84584858] -5.018755031645611 ;\n",
+      "Epoch 560/1000, Cost: 1.9586\n",
+      " and the parameters are [-2.8305991   3.84586679] -5.018766379608307 ;\n",
+      "Epoch 560/1000, Cost: 6.1574\n",
+      " and the parameters are [-2.83057475  3.84583368] -5.018787573016979 ;\n",
+      "Epoch 560/1000, Cost: 2.9600\n",
+      " and the parameters are [-2.83057813  3.84582776] -5.018811013329808 ;\n",
+      "Epoch 560/1000, Cost: 2.6397\n",
+      " and the parameters are [-2.83060121  3.84587057] -5.018798700533467 ;\n",
+      "Epoch 560/1000, Cost: 4.1106\n",
+      " and the parameters are [-2.83062673  3.84586382] -5.018820202540313 ;\n",
+      "Epoch 560/1000, Cost: 3.4017\n",
+      " and the parameters are [-2.83059213  3.84590991] -5.018823905047168 ;\n",
+      "Epoch 560/1000, Cost: 1.2245\n",
+      " and the parameters are [-2.83062314  3.84588967] -5.018849972224546 ;\n",
+      "Epoch 560/1000, Cost: 4.3200\n",
+      " and the parameters are [-2.83070319  3.84581803] -5.018899319612466 ;\n",
+      "Epoch 560/1000, Cost: 5.6750\n",
+      " and the parameters are [-2.83070275  3.84573931] -5.018961215606603 ;\n",
+      "Epoch 560/1000, Cost: 1.7727\n",
+      " and the parameters are [-2.83076936  3.84572318] -5.018969281958472 ;\n",
+      "Epoch 560/1000, Cost: 5.7191\n",
+      " and the parameters are [-2.83069141  3.84588564] -5.018893748765099 ;\n",
+      "Epoch 560/1000, Cost: 8.5349\n",
+      " and the parameters are [-2.83060976  3.84607732] -5.018802763704995 ;\n",
+      "Epoch 560/1000, Cost: 1.5876\n",
+      " and the parameters are [-2.83062944  3.84606859] -5.0188243079035635 ;\n",
+      "Epoch 560/1000, Cost: 7.1668\n",
+      " and the parameters are [-2.83064862  3.84588083] -5.018960036723464 ;\n",
+      "Epoch 560/1000, Cost: 3.7725\n",
+      " and the parameters are [-2.83057899  3.84594751] -5.01897846717773 ;\n",
+      "Epoch 560/1000, Cost: 2.9871\n",
+      " and the parameters are [-2.83056818  3.84598032] -5.018989015310338 ;\n",
+      "Epoch 560/1000, Cost: 4.5921\n",
+      " and the parameters are [-2.83054224  3.84609842] -5.018941602376086 ;\n",
+      "Epoch 560/1000, Cost: 2.5732\n",
+      " and the parameters are [-2.83051504  3.84610712] -5.018984932791736 ;\n",
+      "Epoch 560/1000, Cost: 1.8770\n",
+      " and the parameters are [-2.83047055  3.84614943] -5.019006102953232 ;\n",
+      "Epoch 560/1000, Cost: 0.8158\n",
+      " and the parameters are [-2.83046316  3.84618075] -5.019010651583391 ;\n",
+      "Epoch 560/1000, Cost: 3.6674\n",
+      " and the parameters are [-2.83048797  3.84605069] -5.019125162930091 ;\n",
+      "Epoch 560/1000, Cost: 3.2503\n",
+      " and the parameters are [-2.83050867  3.846069  ] -5.019125377621022 ;\n",
+      "Epoch 560/1000, Cost: 6.9887\n",
+      " and the parameters are [-2.83062737  3.84611339] -5.019012721087505 ;\n",
+      "Epoch 560/1000, Cost: 1.5763\n",
+      " and the parameters are [-2.83062852  3.84613948] -5.01902219772197 ;\n",
+      "Epoch 560/1000, Cost: 2.0989\n",
+      " and the parameters are [-2.83060969  3.84620669] -5.019013513494757 ;\n",
+      "Epoch 560/1000, Cost: 1.1682\n",
+      " and the parameters are [-2.83062488  3.84622609] -5.019020869834554 ;\n",
+      "Epoch 560/1000, Cost: 1.8411\n",
+      " and the parameters are [-2.83064963  3.84623936] -5.019036656662144 ;\n",
+      "Epoch 560/1000, Cost: 1.5467\n",
+      " and the parameters are [-2.83064994  3.84626353] -5.019051539489571 ;\n",
+      "Epoch 560/1000, Cost: 3.1471\n",
+      " and the parameters are [-2.83069125  3.84624559] -5.019090699036303 ;\n",
+      "Epoch 560/1000, Cost: 4.8348\n",
+      " and the parameters are [-2.83074197  3.84617656] -5.01912239854697 ;\n",
+      "Epoch 560/1000, Cost: 1.6616\n",
+      " and the parameters are [-2.8307727  3.8461698] -5.019142480642646 ;\n",
+      "Epoch 560/1000, Cost: 2.2942\n",
+      " and the parameters are [-2.83072722  3.84614841] -5.019210210469957 ;\n",
+      "Epoch 560/1000, Cost: 1.8873\n",
+      " and the parameters are [-2.83075425  3.84613454] -5.019241641479565 ;\n",
+      "Epoch 560/1000, Cost: 6.2281\n",
+      " and the parameters are [-2.83075824  3.84614626] -5.019245910935861 ;\n",
+      "Epoch 560/1000, Cost: 2.7277\n",
+      " and the parameters are [-2.83078584  3.84625109] -5.019185038921537 ;\n",
+      "Epoch 560/1000, Cost: 2.8860\n",
+      " and the parameters are [-2.83076822  3.84630849] -5.019181488492655 ;\n",
+      "Epoch 560/1000, Cost: 2.2048\n",
+      " and the parameters are [-2.83074838  3.84634127] -5.0191855254466855 ;\n",
+      "Epoch 560/1000, Cost: 3.3030\n",
+      " and the parameters are [-2.83080502  3.84630529] -5.019204382557585 ;\n",
+      "Epoch 560/1000, Cost: 1.9505\n",
+      " and the parameters are [-2.83079385  3.84640556] -5.019152404574949 ;\n",
+      "Epoch 560/1000, Cost: 1.4637\n",
+      " and the parameters are [-2.83081563  3.84638076] -5.019176395494259 ;\n",
+      "Epoch 560/1000, Cost: 3.3329\n",
+      " and the parameters are [-2.83084431  3.84635112] -5.019209232883872 ;\n",
+      "Epoch 560/1000, Cost: 4.9729\n",
+      " and the parameters are [-2.83083624  3.84625244] -5.0193073347719075 ;\n",
+      "Epoch 560/1000, Cost: 4.6307\n",
+      " and the parameters are [-2.83082203  3.84619918] -5.019365041323213 ;\n",
+      "Epoch 560/1000, Cost: 3.1521\n",
+      " and the parameters are [-2.83080506  3.84620472] -5.019411551701174 ;\n",
+      "Epoch 560/1000, Cost: 3.9732\n",
+      " and the parameters are [-2.83077862  3.84633298] -5.019359443381895 ;\n",
+      "Epoch 560/1000, Cost: 2.2372\n",
+      " and the parameters are [-2.83072974  3.84646074] -5.01931768044198 ;\n",
+      "Epoch 560/1000, Cost: 3.1321\n",
+      " and the parameters are [-2.8307089   3.84637215] -5.019422015866896 ;\n",
+      "Epoch 560/1000, Cost: 3.8565\n",
+      " and the parameters are [-2.83069961  3.84643247] -5.019399595893985 ;\n",
+      "Epoch 560/1000, Cost: 3.4353\n",
+      " and the parameters are [-2.83078312  3.84629576] -5.019462009994845 ;\n",
+      "Epoch 560/1000, Cost: 5.2073\n",
+      " and the parameters are [-2.83081492  3.84629987] -5.019452348927437 ;\n",
+      "Epoch 560/1000, Cost: 3.2196\n",
+      " and the parameters are [-2.83081033  3.84629155] -5.019493994520767 ;\n",
+      "Epoch 560/1000, Cost: 4.3754\n",
+      " and the parameters are [-2.83080703  3.84633613] -5.019460782161998 ;\n",
+      "Epoch 560/1000, Cost: 1.5197\n",
+      " and the parameters are [-2.83082066  3.84633604] -5.019482881072323 ;\n",
+      "Epoch 560/1000, Cost: 3.1757\n",
+      " and the parameters are [-2.83085797  3.84639146] -5.019457819321277 ;\n",
+      "Epoch 560/1000, Cost: 2.8579\n",
+      " and the parameters are [-2.83084631  3.8463941 ] -5.019495099462077 ;\n",
+      "Epoch 560/1000, Cost: 1.3739\n",
+      " and the parameters are [-2.83084227  3.84642684] -5.019505867066482 ;\n",
+      "Epoch 560/1000, Cost: 5.1998\n",
+      " and the parameters are [-2.83093732  3.84640793] -5.019491391504602 ;\n",
+      "Epoch 560/1000, Cost: 1.9438\n",
+      " and the parameters are [-2.83100911  3.84633377] -5.019532559970151 ;\n",
+      "Epoch 560/1000, Cost: 4.4960\n",
+      " and the parameters are [-2.83096592  3.84623893] -5.01962018902038 ;\n",
+      "Epoch 560/1000, Cost: 3.8700\n",
+      " and the parameters are [-2.8309516   3.84637132] -5.019533367518901 ;\n",
+      "Epoch 560/1000, Cost: 4.8971\n",
+      " and the parameters are [-2.83091507  3.84628358] -5.019621081935513 ;\n",
+      "Epoch 560/1000, Cost: 1.7787\n",
+      " and the parameters are [-2.83086727  3.84635332] -5.019627186874413 ;\n",
+      "Epoch 560/1000, Cost: 2.6581\n",
+      " and the parameters are [-2.83087455  3.8463276 ] -5.019675137529184 ;\n",
+      "Epoch 560/1000, Cost: 2.2943\n",
+      " and the parameters are [-2.8308556   3.84635014] -5.019686220872739 ;\n",
+      "Epoch 560/1000, Cost: 1.3336\n",
+      " and the parameters are [-2.83086265  3.84642861] -5.019642735058298 ;\n",
+      "Epoch 560/1000, Cost: 7.8142\n",
+      " and the parameters are [-2.83091614  3.84637777] -5.0196269240042515 ;\n",
+      "Epoch 560/1000, Cost: 4.5551\n",
+      " and the parameters are [-2.83096236  3.84630462] -5.019678728753988 ;\n",
+      "Epoch 560/1000, Cost: 3.3522\n",
+      " and the parameters are [-2.83096241  3.84623934] -5.01975425378074 ;\n",
+      "Epoch 560/1000, Cost: 2.2916\n",
+      " and the parameters are [-2.83093017  3.84626807] -5.019783979910518 ;\n",
+      "Epoch 560/1000, Cost: 2.8591\n",
+      " and the parameters are [-2.830953    3.84632838] -5.01976096638278 ;\n",
+      "Epoch 560/1000, Cost: 4.2309\n",
+      " and the parameters are [-2.83096137  3.84618898] -5.019880636006666 ;\n",
+      "Epoch 560/1000, Cost: 1.1847\n",
+      " and the parameters are [-2.8309671   3.84620902] -5.019891636310539 ;\n",
+      "Epoch 560/1000, Cost: 3.2470\n",
+      " and the parameters are [-2.83098644  3.84626309] -5.019862895156145 ;\n",
+      "Epoch 560/1000, Cost: 3.7519\n",
+      " and the parameters are [-2.83095358  3.84625507] -5.019938647351722 ;\n",
+      "Epoch 560/1000, Cost: 1.9182\n",
+      " and the parameters are [-2.83096345  3.84623721] -5.019974090818082 ;\n",
+      "Epoch 560/1000, Cost: 1.5706\n",
+      " and the parameters are [-2.83098216  3.84623383] -5.019997417984881 ;\n",
+      "Epoch 560/1000, Cost: 1.7508\n",
+      " and the parameters are [-2.83099687  3.84627147] -5.0199891106782495 ;\n",
+      "Epoch 560/1000, Cost: 1.5893\n",
+      " and the parameters are [-2.83102645  3.84628109] -5.019993639872035 ;\n",
+      "Epoch 560/1000, Cost: 3.3732\n",
+      " and the parameters are [-2.83110599  3.84624413] -5.019986979266037 ;\n",
+      "Epoch 560/1000, Cost: 2.9623\n",
+      " and the parameters are [-2.83105517  3.84628172] -5.020019947880257 ;\n",
+      "Epoch 560/1000, Cost: 2.3669\n",
+      " and the parameters are [-2.83107222  3.84631772] -5.020014211872702 ;\n",
+      "Epoch 570/1000, Cost: 2.5125\n",
+      " and the parameters are [-2.84374657  3.86215831] -5.0426095951377485 ;\n",
+      "Epoch 570/1000, Cost: 2.0464\n",
+      " and the parameters are [-2.84376336  3.86212616] -5.042644065890445 ;\n",
+      "Epoch 570/1000, Cost: 2.1029\n",
+      " and the parameters are [-2.84374572  3.86220052] -5.0426288957363505 ;\n",
+      "Epoch 570/1000, Cost: 2.9439\n",
+      " and the parameters are [-2.84375907  3.86231566] -5.042566575552872 ;\n",
+      "Epoch 570/1000, Cost: 2.9725\n",
+      " and the parameters are [-2.84377614  3.86229795] -5.042604689377555 ;\n",
+      "Epoch 570/1000, Cost: 2.1364\n",
+      " and the parameters are [-2.8438252  3.8622785] -5.042627461782296 ;\n",
+      "Epoch 570/1000, Cost: 2.0319\n",
+      " and the parameters are [-2.84381331  3.86232866] -5.042636439079636 ;\n",
+      "Epoch 570/1000, Cost: 3.1925\n",
+      " and the parameters are [-2.84384252  3.86231586] -5.0426522701118035 ;\n",
+      "Epoch 570/1000, Cost: 2.1796\n",
+      " and the parameters are [-2.84388544  3.86225703] -5.0426992779102395 ;\n",
+      "Epoch 570/1000, Cost: 2.4237\n",
+      " and the parameters are [-2.84388763  3.86231335] -5.042685397644303 ;\n",
+      "Epoch 570/1000, Cost: 1.5606\n",
+      " and the parameters are [-2.84388591  3.86234791] -5.0426891659738295 ;\n",
+      "Epoch 570/1000, Cost: 2.8154\n",
+      " and the parameters are [-2.8438568   3.86241327] -5.042678466700288 ;\n",
+      "Epoch 570/1000, Cost: 4.8943\n",
+      " and the parameters are [-2.84381294  3.8625569 ] -5.042614005582626 ;\n",
+      "Epoch 570/1000, Cost: 1.9106\n",
+      " and the parameters are [-2.84382588  3.86264516] -5.042569096329402 ;\n",
+      "Epoch 570/1000, Cost: 1.2492\n",
+      " and the parameters are [-2.84382567  3.8626803 ] -5.042571847609197 ;\n",
+      "Epoch 570/1000, Cost: 1.7161\n",
+      " and the parameters are [-2.84384309  3.86270001] -5.042572720538468 ;\n",
+      "Epoch 570/1000, Cost: 2.8593\n",
+      " and the parameters are [-2.8438833   3.86268037] -5.042591482998835 ;\n",
+      "Epoch 570/1000, Cost: 2.6065\n",
+      " and the parameters are [-2.84389626  3.8626835 ] -5.042609941266738 ;\n",
+      "Epoch 570/1000, Cost: 2.7125\n",
+      " and the parameters are [-2.84389836  3.86275193] -5.042593414048519 ;\n",
+      "Epoch 570/1000, Cost: 5.2505\n",
+      " and the parameters are [-2.84384586  3.86288814] -5.042514834941961 ;\n",
+      "Epoch 570/1000, Cost: 4.8726\n",
+      " and the parameters are [-2.84385583  3.86289127] -5.0425370727165575 ;\n",
+      "Epoch 570/1000, Cost: 4.3099\n",
+      " and the parameters are [-2.84395916  3.86288569] -5.042507313121945 ;\n",
+      "Epoch 570/1000, Cost: 2.2055\n",
+      " and the parameters are [-2.84397196  3.86296418] -5.042473578570003 ;\n",
+      "Epoch 570/1000, Cost: 3.4601\n",
+      " and the parameters are [-2.84393199  3.86302805] -5.042451859916758 ;\n",
+      "Epoch 570/1000, Cost: 2.2161\n",
+      " and the parameters are [-2.84395144  3.86294192] -5.04252013321844 ;\n",
+      "Epoch 570/1000, Cost: 4.2509\n",
+      " and the parameters are [-2.84409624  3.86294997] -5.042440282737299 ;\n",
+      "Epoch 570/1000, Cost: 1.2591\n",
+      " and the parameters are [-2.84409913  3.86299127] -5.042436922405173 ;\n",
+      "Epoch 570/1000, Cost: 2.9676\n",
+      " and the parameters are [-2.84408422  3.86311558] -5.042378002877618 ;\n",
+      "Epoch 570/1000, Cost: 1.7126\n",
+      " and the parameters are [-2.84410216  3.86310458] -5.0424084387959685 ;\n",
+      "Epoch 570/1000, Cost: 1.9020\n",
+      " and the parameters are [-2.84404575  3.86317626] -5.042414155385872 ;\n",
+      "Epoch 570/1000, Cost: 3.3396\n",
+      " and the parameters are [-2.84400363  3.86324347] -5.042412941041433 ;\n",
+      "Epoch 570/1000, Cost: 3.3128\n",
+      " and the parameters are [-2.84403789  3.86318863] -5.042466430428332 ;\n",
+      "Epoch 570/1000, Cost: 2.6516\n",
+      " and the parameters are [-2.84404374  3.86317758] -5.042512564076657 ;\n",
+      "Epoch 570/1000, Cost: 5.6909\n",
+      " and the parameters are [-2.84400906  3.86333732] -5.042440241067969 ;\n",
+      "Epoch 570/1000, Cost: 3.3257\n",
+      " and the parameters are [-2.84402414  3.86342447] -5.042406321861045 ;\n",
+      "Epoch 570/1000, Cost: 2.4972\n",
+      " and the parameters are [-2.8440698   3.86347447] -5.042377336874916 ;\n",
+      "Epoch 570/1000, Cost: 7.8924\n",
+      " and the parameters are [-2.84403345  3.863523  ] -5.04233467570829 ;\n",
+      "Epoch 570/1000, Cost: 4.1217\n",
+      " and the parameters are [-2.84403556  3.86342261] -5.042415484172793 ;\n",
+      "Epoch 570/1000, Cost: 3.2814\n",
+      " and the parameters are [-2.84409542  3.86347258] -5.042362035822469 ;\n",
+      "Epoch 570/1000, Cost: 2.5791\n",
+      " and the parameters are [-2.84415894  3.86353033] -5.042312790999539 ;\n",
+      "Epoch 570/1000, Cost: 4.0799\n",
+      " and the parameters are [-2.8442169   3.86342614] -5.042369564578252 ;\n",
+      "Epoch 570/1000, Cost: 2.4200\n",
+      " and the parameters are [-2.84417614  3.86343014] -5.042409705158627 ;\n",
+      "Epoch 570/1000, Cost: 2.6564\n",
+      " and the parameters are [-2.844148    3.86337099] -5.042501799857894 ;\n",
+      "Epoch 570/1000, Cost: 3.1600\n",
+      " and the parameters are [-2.8441328   3.86342672] -5.042481691505837 ;\n",
+      "Epoch 570/1000, Cost: 1.3810\n",
+      " and the parameters are [-2.84417891  3.8633967 ] -5.042507033576336 ;\n",
+      "Epoch 570/1000, Cost: 2.5866\n",
+      " and the parameters are [-2.84419139  3.86335203] -5.042561262085411 ;\n",
+      "Epoch 570/1000, Cost: 1.5842\n",
+      " and the parameters are [-2.8441913   3.86335014] -5.0425938982225675 ;\n",
+      "Epoch 570/1000, Cost: 2.5530\n",
+      " and the parameters are [-2.84420394  3.86340838] -5.042578482791463 ;\n",
+      "Epoch 570/1000, Cost: 9.2804\n",
+      " and the parameters are [-2.84417782  3.8633497 ] -5.04261331929218 ;\n",
+      "Epoch 570/1000, Cost: 4.0587\n",
+      " and the parameters are [-2.84413475  3.86333036] -5.042674473305423 ;\n",
+      "Epoch 570/1000, Cost: 4.0705\n",
+      " and the parameters are [-2.84414879  3.86326292] -5.042732695347833 ;\n",
+      "Epoch 570/1000, Cost: 6.1339\n",
+      " and the parameters are [-2.8441422   3.86333471] -5.042675162004715 ;\n",
+      "Epoch 570/1000, Cost: 2.7281\n",
+      " and the parameters are [-2.84403747  3.86344269] -5.042670077657439 ;\n",
+      "Epoch 570/1000, Cost: 2.8956\n",
+      " and the parameters are [-2.84411021  3.86343187] -5.042669783981331 ;\n",
+      "Epoch 570/1000, Cost: 3.6823\n",
+      " and the parameters are [-2.84411832  3.86340278] -5.042710512977768 ;\n",
+      "Epoch 570/1000, Cost: 3.7892\n",
+      " and the parameters are [-2.84415519  3.8634766 ] -5.042657252533803 ;\n",
+      "Epoch 570/1000, Cost: 3.0195\n",
+      " and the parameters are [-2.84414604  3.86358369] -5.042608883240805 ;\n",
+      "Epoch 570/1000, Cost: 2.2363\n",
+      " and the parameters are [-2.84410143  3.86366   ] -5.042604769016623 ;\n",
+      "Epoch 570/1000, Cost: 4.4960\n",
+      " and the parameters are [-2.84403661  3.86379431] -5.042563514907697 ;\n",
+      "Epoch 570/1000, Cost: 4.9314\n",
+      " and the parameters are [-2.84409296  3.86371119] -5.042619973293133 ;\n",
+      "Epoch 570/1000, Cost: 2.1357\n",
+      " and the parameters are [-2.84407505  3.86385118] -5.042553506688921 ;\n",
+      "Epoch 570/1000, Cost: 2.2208\n",
+      " and the parameters are [-2.8441396  3.8638866] -5.042514379484704 ;\n",
+      "Epoch 570/1000, Cost: 2.7683\n",
+      " and the parameters are [-2.84411608  3.86402895] -5.042457887277396 ;\n",
+      "Epoch 570/1000, Cost: 2.9736\n",
+      " and the parameters are [-2.84406592  3.86415821] -5.042415846229172 ;\n",
+      "Epoch 570/1000, Cost: 3.9344\n",
+      " and the parameters are [-2.84396145  3.86415404] -5.0424957603909455 ;\n",
+      "Epoch 570/1000, Cost: 7.6209\n",
+      " and the parameters are [-2.84399141  3.86402657] -5.042550762652051 ;\n",
+      "Epoch 570/1000, Cost: 2.6140\n",
+      " and the parameters are [-2.84408175  3.86389073] -5.042619995184159 ;\n",
+      "Epoch 570/1000, Cost: 2.9090\n",
+      " and the parameters are [-2.84410068  3.86394869] -5.042598450459857 ;\n",
+      "Epoch 570/1000, Cost: 2.9407\n",
+      " and the parameters are [-2.84414512  3.863957  ] -5.042611455528939 ;\n",
+      "Epoch 570/1000, Cost: 4.8328\n",
+      " and the parameters are [-2.844167    3.86394873] -5.042612523113675 ;\n",
+      "Epoch 570/1000, Cost: 8.0214\n",
+      " and the parameters are [-2.84412615  3.86420895] -5.042423042055123 ;\n",
+      "Epoch 570/1000, Cost: 2.9212\n",
+      " and the parameters are [-2.84418205  3.86416373] -5.042444802791334 ;\n",
+      "Epoch 570/1000, Cost: 4.9824\n",
+      " and the parameters are [-2.84423659  3.86418231] -5.042410128354453 ;\n",
+      "Epoch 570/1000, Cost: 2.2413\n",
+      " and the parameters are [-2.84422104  3.86425726] -5.042401035579356 ;\n",
+      "Epoch 570/1000, Cost: 2.1927\n",
+      " and the parameters are [-2.84414913  3.8642769 ] -5.042457608387174 ;\n",
+      "Epoch 570/1000, Cost: 2.6979\n",
+      " and the parameters are [-2.84412042  3.86435212] -5.0424467680449245 ;\n",
+      "Epoch 570/1000, Cost: 2.0933\n",
+      " and the parameters are [-2.84413596  3.86441239] -5.042407961898047 ;\n",
+      "Epoch 570/1000, Cost: 2.5531\n",
+      " and the parameters are [-2.8441554   3.86443031] -5.042407843264039 ;\n",
+      "Epoch 570/1000, Cost: 1.0693\n",
+      " and the parameters are [-2.84413738  3.86444592] -5.04243300616273 ;\n",
+      "Epoch 570/1000, Cost: 1.6360\n",
+      " and the parameters are [-2.84410932  3.86446885] -5.0424584413675015 ;\n",
+      "Epoch 570/1000, Cost: 3.9166\n",
+      " and the parameters are [-2.84410977  3.86436974] -5.042561089459689 ;\n",
+      "Epoch 570/1000, Cost: 1.5263\n",
+      " and the parameters are [-2.8440652   3.86446585] -5.04254393135568 ;\n",
+      "Epoch 570/1000, Cost: 6.0985\n",
+      " and the parameters are [-2.84405909  3.86442177] -5.042586126929309 ;\n",
+      "Epoch 570/1000, Cost: 2.6127\n",
+      " and the parameters are [-2.84404676  3.86437615] -5.04266081601059 ;\n",
+      "Epoch 570/1000, Cost: 3.6719\n",
+      " and the parameters are [-2.84407551  3.8642504 ] -5.0427551044085 ;\n",
+      "Epoch 570/1000, Cost: 3.5651\n",
+      " and the parameters are [-2.84411073  3.86420113] -5.042793342113985 ;\n",
+      "Epoch 570/1000, Cost: 1.4911\n",
+      " and the parameters are [-2.84415748  3.8642394 ] -5.04277082776415 ;\n",
+      "Epoch 570/1000, Cost: 1.5619\n",
+      " and the parameters are [-2.84416357  3.86426451] -5.042780149976042 ;\n",
+      "Epoch 570/1000, Cost: 1.5989\n",
+      " and the parameters are [-2.84414451  3.8643057 ] -5.042792604076474 ;\n",
+      "Epoch 570/1000, Cost: 1.7039\n",
+      " and the parameters are [-2.84416683  3.86426549] -5.042835246512909 ;\n",
+      "Epoch 570/1000, Cost: 5.8634\n",
+      " and the parameters are [-2.84409541  3.86425517] -5.042889222633748 ;\n",
+      "Epoch 570/1000, Cost: 3.7028\n",
+      " and the parameters are [-2.84411034  3.86427797] -5.042889440880349 ;\n",
+      "Epoch 570/1000, Cost: 3.1051\n",
+      " and the parameters are [-2.84406789  3.86428247] -5.04293435285398 ;\n",
+      "Epoch 570/1000, Cost: 4.6316\n",
+      " and the parameters are [-2.84399505  3.86425067] -5.043020374822374 ;\n",
+      "Epoch 570/1000, Cost: 1.7075\n",
+      " and the parameters are [-2.84401337  3.86421493] -5.043059982782374 ;\n",
+      "Epoch 570/1000, Cost: 1.9748\n",
+      " and the parameters are [-2.84401457  3.86425121] -5.04306670711464 ;\n",
+      "Epoch 570/1000, Cost: 2.6309\n",
+      " and the parameters are [-2.84403153  3.86422898] -5.043099721816612 ;\n",
+      "Epoch 570/1000, Cost: 4.0887\n",
+      " and the parameters are [-2.84398952  3.86418408] -5.0431475431670325 ;\n",
+      "Epoch 570/1000, Cost: 4.0312\n",
+      " and the parameters are [-2.84405229  3.86410385] -5.0431869071353335 ;\n",
+      "Epoch 570/1000, Cost: 1.1321\n",
+      " and the parameters are [-2.84404998  3.86409441] -5.043223957741104 ;\n",
+      "Epoch 570/1000, Cost: 4.4483\n",
+      " and the parameters are [-2.84410159  3.86413208] -5.043159512060589 ;\n",
+      "Epoch 570/1000, Cost: 1.7356\n",
+      " and the parameters are [-2.84413572  3.86409929] -5.043192586546149 ;\n",
+      "Epoch 570/1000, Cost: 3.1169\n",
+      " and the parameters are [-2.84405574  3.86419158] -5.043197662624529 ;\n",
+      "Epoch 570/1000, Cost: 1.4352\n",
+      " and the parameters are [-2.84404694  3.8641929 ] -5.043234157365196 ;\n",
+      "Epoch 570/1000, Cost: 3.1087\n",
+      " and the parameters are [-2.84403992  3.86419108] -5.04325852079305 ;\n",
+      "Epoch 570/1000, Cost: 1.8503\n",
+      " and the parameters are [-2.84399922  3.86422812] -5.043282206550572 ;\n",
+      "Epoch 570/1000, Cost: 1.8722\n",
+      " and the parameters are [-2.84396949  3.86421567] -5.043329648991208 ;\n",
+      "Epoch 570/1000, Cost: 3.2394\n",
+      " and the parameters are [-2.8439595   3.86421235] -5.043374213763612 ;\n",
+      "Epoch 570/1000, Cost: 5.2935\n",
+      " and the parameters are [-2.84397475  3.86414024] -5.043447908835239 ;\n",
+      "Epoch 570/1000, Cost: 5.2690\n",
+      " and the parameters are [-2.84390386  3.86411568] -5.043525790861429 ;\n",
+      "Epoch 570/1000, Cost: 3.4713\n",
+      " and the parameters are [-2.84388442  3.8641444 ] -5.043520014897048 ;\n",
+      "Epoch 570/1000, Cost: 2.9150\n",
+      " and the parameters are [-2.84385957  3.86417087] -5.043535410518723 ;\n",
+      "Epoch 570/1000, Cost: 5.4193\n",
+      " and the parameters are [-2.84392426  3.8640928 ] -5.043559404356144 ;\n",
+      "Epoch 570/1000, Cost: 2.7789\n",
+      " and the parameters are [-2.84395533  3.86402636] -5.043621730857812 ;\n",
+      "Epoch 570/1000, Cost: 5.5179\n",
+      " and the parameters are [-2.84413348  3.86375068] -5.04372839253856 ;\n",
+      "Epoch 570/1000, Cost: 2.0338\n",
+      " and the parameters are [-2.84415576  3.86371043] -5.04377266239726 ;\n",
+      "Epoch 570/1000, Cost: 6.3111\n",
+      " and the parameters are [-2.84428987  3.86341244] -5.043926670716258 ;\n",
+      "Epoch 570/1000, Cost: 7.0340\n",
+      " and the parameters are [-2.84435249  3.86334747] -5.04396105671276 ;\n",
+      "Epoch 570/1000, Cost: 3.0693\n",
+      " and the parameters are [-2.84437489  3.86333004] -5.043997359489959 ;\n",
+      "Epoch 570/1000, Cost: 1.8642\n",
+      " and the parameters are [-2.84441865  3.863311  ] -5.044010863489926 ;\n",
+      "Epoch 570/1000, Cost: 1.7849\n",
+      " and the parameters are [-2.84440546  3.8633713 ] -5.0439984031902 ;\n",
+      "Epoch 570/1000, Cost: 1.7821\n",
+      " and the parameters are [-2.8444263   3.86339611] -5.043995091533119 ;\n",
+      "Epoch 570/1000, Cost: 3.9494\n",
+      " and the parameters are [-2.84443128  3.86346306] -5.04396430091571 ;\n",
+      "Epoch 570/1000, Cost: 2.2539\n",
+      " and the parameters are [-2.84444305  3.86344686] -5.044002395212396 ;\n",
+      "Epoch 570/1000, Cost: 3.4901\n",
+      " and the parameters are [-2.84445681  3.86353583] -5.043944426642729 ;\n",
+      "Epoch 570/1000, Cost: 2.8369\n",
+      " and the parameters are [-2.84444682  3.8634792 ] -5.044018911279646 ;\n",
+      "Epoch 570/1000, Cost: 6.5914\n",
+      " and the parameters are [-2.84442065  3.86331889] -5.044149656283053 ;\n",
+      "Epoch 570/1000, Cost: 1.6221\n",
+      " and the parameters are [-2.8444457   3.86332856] -5.044163886921767 ;\n",
+      "Epoch 570/1000, Cost: 3.1596\n",
+      " and the parameters are [-2.84437763  3.86338448] -5.044183565466438 ;\n",
+      "Epoch 570/1000, Cost: 2.6844\n",
+      " and the parameters are [-2.84434297  3.8635011 ] -5.044147192078374 ;\n",
+      "Epoch 570/1000, Cost: 2.9818\n",
+      " and the parameters are [-2.84438311  3.86345004] -5.044197201355057 ;\n",
+      "Epoch 570/1000, Cost: 2.8736\n",
+      " and the parameters are [-2.8444005   3.86343785] -5.044221686929243 ;\n",
+      "Epoch 570/1000, Cost: 3.1412\n",
+      " and the parameters are [-2.84440203  3.86335179] -5.044312665489742 ;\n",
+      "Epoch 570/1000, Cost: 1.3475\n",
+      " and the parameters are [-2.84437121  3.86333333] -5.044362603482959 ;\n",
+      "Epoch 570/1000, Cost: 3.2970\n",
+      " and the parameters are [-2.84441566  3.86329087] -5.044397731097678 ;\n",
+      "Epoch 570/1000, Cost: 2.4959\n",
+      " and the parameters are [-2.84443627  3.86334086] -5.044368501194375 ;\n",
+      "Epoch 570/1000, Cost: 3.8289\n",
+      " and the parameters are [-2.84445642  3.86346914] -5.044280264552057 ;\n",
+      "Epoch 570/1000, Cost: 4.9804\n",
+      " and the parameters are [-2.84446721  3.86342141] -5.044322012918875 ;\n",
+      "Epoch 570/1000, Cost: 3.1383\n",
+      " and the parameters are [-2.84448705  3.86340869] -5.0443514231312765 ;\n",
+      "Epoch 570/1000, Cost: 3.9743\n",
+      " and the parameters are [-2.84459607  3.86350588] -5.044243418692981 ;\n",
+      "Epoch 570/1000, Cost: 0.7674\n",
+      " and the parameters are [-2.84459502  3.86350577] -5.044265561691514 ;\n",
+      "Epoch 570/1000, Cost: 3.7595\n",
+      " and the parameters are [-2.84466366  3.86344256] -5.044293645956006 ;\n",
+      "Epoch 570/1000, Cost: 1.5143\n",
+      " and the parameters are [-2.84468031  3.86347261] -5.044297616442376 ;\n",
+      "Epoch 570/1000, Cost: 4.4765\n",
+      " and the parameters are [-2.84471981  3.86342357] -5.044342719473138 ;\n",
+      "Epoch 570/1000, Cost: 8.0250\n",
+      " and the parameters are [-2.84474557  3.86331479] -5.044384247096859 ;\n",
+      "Epoch 570/1000, Cost: 1.8305\n",
+      " and the parameters are [-2.84477317  3.8633656 ] -5.044366747585504 ;\n",
+      "Epoch 570/1000, Cost: 3.0290\n",
+      " and the parameters are [-2.84477025  3.86335187] -5.044408082456573 ;\n",
+      "Epoch 570/1000, Cost: 3.4482\n",
+      " and the parameters are [-2.844821    3.86334718] -5.044407919917099 ;\n",
+      "Epoch 570/1000, Cost: 2.8997\n",
+      " and the parameters are [-2.84481854  3.8634552 ] -5.044357325263163 ;\n",
+      "Epoch 570/1000, Cost: 0.9103\n",
+      " and the parameters are [-2.84481848  3.86348943] -5.044357166355677 ;\n",
+      "Epoch 570/1000, Cost: 4.6788\n",
+      " and the parameters are [-2.84478641  3.86350118] -5.044384278488901 ;\n",
+      "Epoch 570/1000, Cost: 2.8075\n",
+      " and the parameters are [-2.84479659  3.86359464] -5.044337518913064 ;\n",
+      "Epoch 570/1000, Cost: 1.3779\n",
+      " and the parameters are [-2.84477106  3.86361178] -5.044362984132404 ;\n",
+      "Epoch 570/1000, Cost: 3.4933\n",
+      " and the parameters are [-2.84475186  3.86355584] -5.044433964767927 ;\n",
+      "Epoch 570/1000, Cost: 4.6094\n",
+      " and the parameters are [-2.84484065  3.8634841 ] -5.04445322413351 ;\n",
+      "Epoch 570/1000, Cost: 6.7665\n",
+      " and the parameters are [-2.84485447  3.86355316] -5.0443981707455 ;\n",
+      "Epoch 570/1000, Cost: 3.4254\n",
+      " and the parameters are [-2.84476422  3.8636921 ] -5.04436780522409 ;\n",
+      "Epoch 570/1000, Cost: 2.4251\n",
+      " and the parameters are [-2.8447727   3.86371814] -5.044382085165044 ;\n",
+      "Epoch 570/1000, Cost: 2.1392\n",
+      " and the parameters are [-2.84473475  3.86382719] -5.04434194723066 ;\n",
+      "Epoch 570/1000, Cost: 8.4515\n",
+      " and the parameters are [-2.84466094  3.86392123] -5.044293316078851 ;\n",
+      "Epoch 570/1000, Cost: 5.2155\n",
+      " and the parameters are [-2.84461898  3.86395574] -5.0443145974438846 ;\n",
+      "Epoch 570/1000, Cost: 2.1463\n",
+      " and the parameters are [-2.84462171  3.86395427] -5.044343471694495 ;\n",
+      "Epoch 570/1000, Cost: 6.4669\n",
+      " and the parameters are [-2.84479366  3.8637185 ] -5.044410105475153 ;\n",
+      "Epoch 570/1000, Cost: 2.6873\n",
+      " and the parameters are [-2.84487604  3.86363155] -5.04446480484772 ;\n",
+      "Epoch 570/1000, Cost: 1.5610\n",
+      " and the parameters are [-2.84485563  3.86372171] -5.044433159577922 ;\n",
+      "Epoch 570/1000, Cost: 3.1959\n",
+      " and the parameters are [-2.84495526  3.86355648] -5.044523581216659 ;\n",
+      "Epoch 570/1000, Cost: 2.9087\n",
+      " and the parameters are [-2.84494774  3.86360717] -5.044524097430332 ;\n",
+      "Epoch 570/1000, Cost: 1.4636\n",
+      " and the parameters are [-2.84493258  3.86362997] -5.044537913577323 ;\n",
+      "Epoch 570/1000, Cost: 1.4930\n",
+      " and the parameters are [-2.8448859   3.86368866] -5.044543175800944 ;\n",
+      "Epoch 570/1000, Cost: 3.3609\n",
+      " and the parameters are [-2.84488392  3.86365563] -5.0445947226008965 ;\n",
+      "Epoch 570/1000, Cost: 3.7747\n",
+      " and the parameters are [-2.84491216  3.86364931] -5.044607431108691 ;\n",
+      "Epoch 570/1000, Cost: 3.7215\n",
+      " and the parameters are [-2.84492164  3.86370367] -5.044589072095635 ;\n",
+      "Epoch 570/1000, Cost: 1.3789\n",
+      " and the parameters are [-2.84494944  3.8637418 ] -5.044574586490974 ;\n",
+      "Epoch 570/1000, Cost: 3.0543\n",
+      " and the parameters are [-2.844931    3.86369268] -5.044658399326309 ;\n",
+      "Epoch 570/1000, Cost: 3.6307\n",
+      " and the parameters are [-2.84495931  3.86354206] -5.04477691040593 ;\n",
+      "Epoch 570/1000, Cost: 2.1336\n",
+      " and the parameters are [-2.84499319  3.86346497] -5.044851301936794 ;\n",
+      "Epoch 570/1000, Cost: 5.1100\n",
+      " and the parameters are [-2.8449692   3.86340076] -5.0449266734430305 ;\n",
+      "Epoch 570/1000, Cost: 2.4413\n",
+      " and the parameters are [-2.84494375  3.86345587] -5.0449393059673895 ;\n",
+      "Epoch 570/1000, Cost: 2.6603\n",
+      " and the parameters are [-2.84498602  3.86349036] -5.044925879251067 ;\n",
+      "Epoch 570/1000, Cost: 2.5784\n",
+      " and the parameters are [-2.84497967  3.86346882] -5.044974938434374 ;\n",
+      "Epoch 570/1000, Cost: 3.5819\n",
+      " and the parameters are [-2.84495269  3.86339054] -5.045077470784733 ;\n",
+      "Epoch 570/1000, Cost: 2.6074\n",
+      " and the parameters are [-2.84497793  3.86338158] -5.045099624343793 ;\n",
+      "Epoch 570/1000, Cost: 4.1417\n",
+      " and the parameters are [-2.84494149  3.86341451] -5.045117311347238 ;\n",
+      "Epoch 570/1000, Cost: 2.4748\n",
+      " and the parameters are [-2.84495653  3.86347012] -5.045103718680999 ;\n",
+      "Epoch 570/1000, Cost: 1.7836\n",
+      " and the parameters are [-2.84496584  3.86353915] -5.045076520095798 ;\n",
+      "Epoch 570/1000, Cost: 3.5702\n",
+      " and the parameters are [-2.84500205  3.86342624] -5.045163116393002 ;\n",
+      "Epoch 570/1000, Cost: 2.2541\n",
+      " and the parameters are [-2.84496744  3.86346705] -5.045169963116961 ;\n",
+      "Epoch 570/1000, Cost: 2.2758\n",
+      " and the parameters are [-2.84496776  3.86354377] -5.045155601388932 ;\n",
+      "Epoch 570/1000, Cost: 7.4032\n",
+      " and the parameters are [-2.84505433  3.86358723] -5.0450549960585365 ;\n",
+      "Epoch 570/1000, Cost: 1.8052\n",
+      " and the parameters are [-2.84506047  3.86355168] -5.045109271073754 ;\n",
+      "Epoch 570/1000, Cost: 2.7029\n",
+      " and the parameters are [-2.8450812   3.86361198] -5.0450781105347495 ;\n",
+      "Epoch 570/1000, Cost: 3.2406\n",
+      " and the parameters are [-2.84510288  3.8636106 ] -5.0451012667512245 ;\n",
+      "Epoch 570/1000, Cost: 2.7080\n",
+      " and the parameters are [-2.84510102  3.86368843] -5.045075280354111 ;\n",
+      "Epoch 570/1000, Cost: 4.7201\n",
+      " and the parameters are [-2.84510305  3.8636406 ] -5.045122319961221 ;\n",
+      "Epoch 570/1000, Cost: 2.4907\n",
+      " and the parameters are [-2.84517149  3.86364543] -5.04510881524449 ;\n",
+      "Epoch 570/1000, Cost: 3.7721\n",
+      " and the parameters are [-2.84516822  3.86368693] -5.0451011670444075 ;\n",
+      "Epoch 570/1000, Cost: 4.2419\n",
+      " and the parameters are [-2.84515026  3.86377918] -5.045071101634157 ;\n",
+      "Epoch 570/1000, Cost: 5.6528\n",
+      " and the parameters are [-2.84514486  3.86376168] -5.045101391505158 ;\n",
+      "Epoch 570/1000, Cost: 2.0202\n",
+      " and the parameters are [-2.84517676  3.86378859] -5.045094796066892 ;\n",
+      "Epoch 570/1000, Cost: 1.6692\n",
+      " and the parameters are [-2.84517086  3.86379608] -5.045126547440121 ;\n",
+      "Epoch 580/1000, Cost: 4.8486\n",
+      " and the parameters are [-2.85765651  3.87941991] -5.067296467220536 ;\n",
+      "Epoch 580/1000, Cost: 3.4111\n",
+      " and the parameters are [-2.85766811  3.87939943] -5.067335783983577 ;\n",
+      "Epoch 580/1000, Cost: 2.3633\n",
+      " and the parameters are [-2.85769443  3.87935623] -5.067378229643877 ;\n",
+      "Epoch 580/1000, Cost: 3.0289\n",
+      " and the parameters are [-2.85771676  3.87932336] -5.067413479828383 ;\n",
+      "Epoch 580/1000, Cost: 4.4059\n",
+      " and the parameters are [-2.85772654  3.87920118] -5.06751751988413 ;\n",
+      "Epoch 580/1000, Cost: 2.9605\n",
+      " and the parameters are [-2.85772923  3.87928981] -5.067487663846929 ;\n",
+      "Epoch 580/1000, Cost: 2.1374\n",
+      " and the parameters are [-2.85774454  3.87939294] -5.067429591091604 ;\n",
+      "Epoch 580/1000, Cost: 3.7550\n",
+      " and the parameters are [-2.85778504  3.87939464] -5.067445005116094 ;\n",
+      "Epoch 580/1000, Cost: 3.2852\n",
+      " and the parameters are [-2.85780392  3.87942733] -5.067422842867055 ;\n",
+      "Epoch 580/1000, Cost: 2.0262\n",
+      " and the parameters are [-2.85780185  3.87945967] -5.067436822694297 ;\n",
+      "Epoch 580/1000, Cost: 2.6583\n",
+      " and the parameters are [-2.85779858  3.87957068] -5.067374014102441 ;\n",
+      "Epoch 580/1000, Cost: 1.8183\n",
+      " and the parameters are [-2.85780562  3.87960626] -5.067377933890653 ;\n",
+      "Epoch 580/1000, Cost: 0.9254\n",
+      " and the parameters are [-2.85779558  3.87964556] -5.067378295763524 ;\n",
+      "Epoch 580/1000, Cost: 7.3851\n",
+      " and the parameters are [-2.8577536   3.87976904] -5.067321964886552 ;\n",
+      "Epoch 580/1000, Cost: 1.1789\n",
+      " and the parameters are [-2.8577505   3.87976511] -5.067351105644578 ;\n",
+      "Epoch 580/1000, Cost: 2.2218\n",
+      " and the parameters are [-2.85771406  3.87977959] -5.06737773385097 ;\n",
+      "Epoch 580/1000, Cost: 4.1800\n",
+      " and the parameters are [-2.85761273  3.8799782 ] -5.06732273990289 ;\n",
+      "Epoch 580/1000, Cost: 2.3832\n",
+      " and the parameters are [-2.85767739  3.88003261] -5.06728401458507 ;\n",
+      "Epoch 580/1000, Cost: 1.7848\n",
+      " and the parameters are [-2.85766235  3.88012606] -5.067244043586557 ;\n",
+      "Epoch 580/1000, Cost: 2.3007\n",
+      " and the parameters are [-2.85768154  3.8801251 ] -5.067261030502138 ;\n",
+      "Epoch 580/1000, Cost: 4.0788\n",
+      " and the parameters are [-2.85772698  3.88000849] -5.067341397369341 ;\n",
+      "Epoch 580/1000, Cost: 1.8565\n",
+      " and the parameters are [-2.85772946  3.88005843] -5.067335324722786 ;\n",
+      "Epoch 580/1000, Cost: 2.2465\n",
+      " and the parameters are [-2.85773903  3.88002641] -5.06738869461754 ;\n",
+      "Epoch 580/1000, Cost: 3.7529\n",
+      " and the parameters are [-2.85769222  3.88009017] -5.067379899145818 ;\n",
+      "Epoch 580/1000, Cost: 5.5015\n",
+      " and the parameters are [-2.85770062  3.88004262] -5.06742148803762 ;\n",
+      "Epoch 580/1000, Cost: 2.9679\n",
+      " and the parameters are [-2.85769622  3.88003206] -5.067458054770407 ;\n",
+      "Epoch 580/1000, Cost: 6.4465\n",
+      " and the parameters are [-2.85776091  3.8799611 ] -5.067478730642492 ;\n",
+      "Epoch 580/1000, Cost: 6.3153\n",
+      " and the parameters are [-2.8576679   3.87991989] -5.0675797608348185 ;\n",
+      "Epoch 580/1000, Cost: 1.5377\n",
+      " and the parameters are [-2.85767502  3.87999102] -5.067553672531056 ;\n",
+      "Epoch 580/1000, Cost: 5.2358\n",
+      " and the parameters are [-2.85765615  3.88005233] -5.067547093739986 ;\n",
+      "Epoch 580/1000, Cost: 5.2859\n",
+      " and the parameters are [-2.8577772   3.87994596] -5.067570537085443 ;\n",
+      "Epoch 580/1000, Cost: 1.2499\n",
+      " and the parameters are [-2.85779114  3.87996499] -5.06757664007457 ;\n",
+      "Epoch 580/1000, Cost: 4.8163\n",
+      " and the parameters are [-2.85783794  3.88009966] -5.067479573355829 ;\n",
+      "Epoch 580/1000, Cost: 6.8749\n",
+      " and the parameters are [-2.85774765  3.88009736] -5.0675347849646135 ;\n",
+      "Epoch 580/1000, Cost: 1.7656\n",
+      " and the parameters are [-2.85779696  3.88007835] -5.067556586915864 ;\n",
+      "Epoch 580/1000, Cost: 1.8500\n",
+      " and the parameters are [-2.85788151  3.87998494] -5.067603772873118 ;\n",
+      "Epoch 580/1000, Cost: 1.7777\n",
+      " and the parameters are [-2.85790632  3.88000141] -5.067600901248358 ;\n",
+      "Epoch 580/1000, Cost: 5.0886\n",
+      " and the parameters are [-2.8579464   3.87990009] -5.067673207708442 ;\n",
+      "Epoch 580/1000, Cost: 1.6493\n",
+      " and the parameters are [-2.85793547  3.87990034] -5.067705975779976 ;\n",
+      "Epoch 580/1000, Cost: 2.9967\n",
+      " and the parameters are [-2.85795507  3.87990185] -5.067727498381401 ;\n",
+      "Epoch 580/1000, Cost: 1.9025\n",
+      " and the parameters are [-2.857937    3.87990259] -5.067771026993575 ;\n",
+      "Epoch 580/1000, Cost: 5.0122\n",
+      " and the parameters are [-2.85806009  3.87990791] -5.067729505686302 ;\n",
+      "Epoch 580/1000, Cost: 5.0036\n",
+      " and the parameters are [-2.85808171  3.87999066] -5.067675782514769 ;\n",
+      "Epoch 580/1000, Cost: 6.8690\n",
+      " and the parameters are [-2.85815596  3.87998231] -5.067642546315333 ;\n",
+      "Epoch 580/1000, Cost: 1.6006\n",
+      " and the parameters are [-2.85814887  3.88005421] -5.067621125957617 ;\n",
+      "Epoch 580/1000, Cost: 3.9033\n",
+      " and the parameters are [-2.85810506  3.88011005] -5.0676089652228615 ;\n",
+      "Epoch 580/1000, Cost: 4.0186\n",
+      " and the parameters are [-2.85804004  3.88025451] -5.06754479407351 ;\n",
+      "Epoch 580/1000, Cost: 5.9773\n",
+      " and the parameters are [-2.85804105  3.88026186] -5.067538652905218 ;\n",
+      "Epoch 580/1000, Cost: 0.9920\n",
+      " and the parameters are [-2.8580242   3.88026645] -5.067563473877557 ;\n",
+      "Epoch 580/1000, Cost: 2.3218\n",
+      " and the parameters are [-2.85804836  3.88019403] -5.067629175247053 ;\n",
+      "Epoch 580/1000, Cost: 1.0723\n",
+      " and the parameters are [-2.8580487   3.88019869] -5.067652613518331 ;\n",
+      "Epoch 580/1000, Cost: 1.2738\n",
+      " and the parameters are [-2.85805505  3.88022265] -5.067658124117157 ;\n",
+      "Epoch 580/1000, Cost: 4.0452\n",
+      " and the parameters are [-2.85808149  3.88030372] -5.067604677856313 ;\n",
+      "Epoch 580/1000, Cost: 2.6878\n",
+      " and the parameters are [-2.85807121  3.88033412] -5.06760946179795 ;\n",
+      "Epoch 580/1000, Cost: 3.4676\n",
+      " and the parameters are [-2.85813033  3.88025409] -5.067667452684532 ;\n",
+      "Epoch 580/1000, Cost: 5.5087\n",
+      " and the parameters are [-2.85813685  3.88037567] -5.067598988128007 ;\n",
+      "Epoch 580/1000, Cost: 1.7169\n",
+      " and the parameters are [-2.85810191  3.88048067] -5.067566093744016 ;\n",
+      "Epoch 580/1000, Cost: 1.9693\n",
+      " and the parameters are [-2.8580892   3.88054861] -5.06755273018305 ;\n",
+      "Epoch 580/1000, Cost: 3.2715\n",
+      " and the parameters are [-2.85805836  3.88061521] -5.067507874867158 ;\n",
+      "Epoch 580/1000, Cost: 3.6689\n",
+      " and the parameters are [-2.85812197  3.88052923] -5.067565969494716 ;\n",
+      "Epoch 580/1000, Cost: 3.3274\n",
+      " and the parameters are [-2.8580737   3.88062464] -5.067551242362885 ;\n",
+      "Epoch 580/1000, Cost: 1.4519\n",
+      " and the parameters are [-2.85807914  3.88060947] -5.067582507533474 ;\n",
+      "Epoch 580/1000, Cost: 1.1074\n",
+      " and the parameters are [-2.85810244  3.88062815] -5.067583878640994 ;\n",
+      "Epoch 580/1000, Cost: 3.1689\n",
+      " and the parameters are [-2.85811807  3.88055512] -5.067643626361828 ;\n",
+      "Epoch 580/1000, Cost: 3.4059\n",
+      " and the parameters are [-2.85817596  3.88042192] -5.067728458334905 ;\n",
+      "Epoch 580/1000, Cost: 3.7215\n",
+      " and the parameters are [-2.85826726  3.88029006] -5.067799815884138 ;\n",
+      "Epoch 580/1000, Cost: 5.5129\n",
+      " and the parameters are [-2.85831154  3.88019504] -5.067846062990593 ;\n",
+      "Epoch 580/1000, Cost: 2.4747\n",
+      " and the parameters are [-2.85834435  3.88021417] -5.067849383516577 ;\n",
+      "Epoch 580/1000, Cost: 2.1866\n",
+      " and the parameters are [-2.8583851   3.88020242] -5.067870891409427 ;\n",
+      "Epoch 580/1000, Cost: 5.4667\n",
+      " and the parameters are [-2.85837586  3.88020777] -5.067877806524867 ;\n",
+      "Epoch 580/1000, Cost: 4.4842\n",
+      " and the parameters are [-2.8584109   3.88027471] -5.067824273774322 ;\n",
+      "Epoch 580/1000, Cost: 2.9818\n",
+      " and the parameters are [-2.85844424  3.88020392] -5.067875689898147 ;\n",
+      "Epoch 580/1000, Cost: 2.1818\n",
+      " and the parameters are [-2.85842866  3.88024463] -5.067883599976253 ;\n",
+      "Epoch 580/1000, Cost: 3.3300\n",
+      " and the parameters are [-2.8584285   3.88025909] -5.067891371523582 ;\n",
+      "Epoch 580/1000, Cost: 3.2088\n",
+      " and the parameters are [-2.85845699  3.88019528] -5.067950168517478 ;\n",
+      "Epoch 580/1000, Cost: 2.1352\n",
+      " and the parameters are [-2.85848908  3.88018671] -5.067975207424556 ;\n",
+      "Epoch 580/1000, Cost: 3.4800\n",
+      " and the parameters are [-2.85850633  3.88016981] -5.068009374062658 ;\n",
+      "Epoch 580/1000, Cost: 4.2951\n",
+      " and the parameters are [-2.85847944  3.88029902] -5.0679655634797305 ;\n",
+      "Epoch 580/1000, Cost: 2.9678\n",
+      " and the parameters are [-2.85842547  3.88038143] -5.067964060839945 ;\n",
+      "Epoch 580/1000, Cost: 8.7306\n",
+      " and the parameters are [-2.85839518  3.88036113] -5.067970875637368 ;\n",
+      "Epoch 580/1000, Cost: 5.8962\n",
+      " and the parameters are [-2.85833824  3.88050794] -5.067891296364045 ;\n",
+      "Epoch 580/1000, Cost: 0.5043\n",
+      " and the parameters are [-2.85834219  3.88051725] -5.0678988826506695 ;\n",
+      "Epoch 580/1000, Cost: 5.0152\n",
+      " and the parameters are [-2.85844789  3.8804466 ] -5.067895118858592 ;\n",
+      "Epoch 580/1000, Cost: 3.3785\n",
+      " and the parameters are [-2.85854685  3.88053239] -5.067808721112232 ;\n",
+      "Epoch 580/1000, Cost: 4.2162\n",
+      " and the parameters are [-2.85860251  3.88050053] -5.067829364745969 ;\n",
+      "Epoch 580/1000, Cost: 4.0556\n",
+      " and the parameters are [-2.85861387  3.88049713] -5.067843277874639 ;\n",
+      "Epoch 580/1000, Cost: 2.0577\n",
+      " and the parameters are [-2.85865404  3.88055398] -5.067798344192513 ;\n",
+      "Epoch 580/1000, Cost: 2.2894\n",
+      " and the parameters are [-2.85865824  3.88060766] -5.067783922733329 ;\n",
+      "Epoch 580/1000, Cost: 1.6470\n",
+      " and the parameters are [-2.85868037  3.88062693] -5.067790315537101 ;\n",
+      "Epoch 580/1000, Cost: 3.1723\n",
+      " and the parameters are [-2.85874752  3.88048848] -5.067866121456922 ;\n",
+      "Epoch 580/1000, Cost: 2.1174\n",
+      " and the parameters are [-2.8588198   3.88041901] -5.067902817092962 ;\n",
+      "Epoch 580/1000, Cost: 2.2137\n",
+      " and the parameters are [-2.85884592  3.88044947] -5.067903875424121 ;\n",
+      "Epoch 580/1000, Cost: 2.4093\n",
+      " and the parameters are [-2.85889011  3.8804881 ] -5.067867883684935 ;\n",
+      "Epoch 580/1000, Cost: 2.4055\n",
+      " and the parameters are [-2.85882513  3.88051783] -5.067906767875997 ;\n",
+      "Epoch 580/1000, Cost: 3.9942\n",
+      " and the parameters are [-2.85884307  3.88050319] -5.067922021426041 ;\n",
+      "Epoch 580/1000, Cost: 2.1258\n",
+      " and the parameters are [-2.85884125  3.88054346] -5.067922471602241 ;\n",
+      "Epoch 580/1000, Cost: 3.2386\n",
+      " and the parameters are [-2.85882288  3.880687  ] -5.067847639160493 ;\n",
+      "Epoch 580/1000, Cost: 6.7101\n",
+      " and the parameters are [-2.85878904  3.88063038] -5.06790768450687 ;\n",
+      "Epoch 580/1000, Cost: 2.0858\n",
+      " and the parameters are [-2.85877236  3.88061493] -5.067963736291603 ;\n",
+      "Epoch 580/1000, Cost: 2.0931\n",
+      " and the parameters are [-2.85877199  3.8806301 ] -5.067982717477524 ;\n",
+      "Epoch 580/1000, Cost: 3.6095\n",
+      " and the parameters are [-2.85878548  3.88060844] -5.068013243954801 ;\n",
+      "Epoch 580/1000, Cost: 1.8721\n",
+      " and the parameters are [-2.85875721  3.88063186] -5.06805128576071 ;\n",
+      "Epoch 580/1000, Cost: 5.9118\n",
+      " and the parameters are [-2.85877212  3.88048685] -5.0681440142083085 ;\n",
+      "Epoch 580/1000, Cost: 3.3368\n",
+      " and the parameters are [-2.85868242  3.88052091] -5.068196476351732 ;\n",
+      "Epoch 580/1000, Cost: 3.1259\n",
+      " and the parameters are [-2.8587647   3.88048423] -5.068199849640188 ;\n",
+      "Epoch 580/1000, Cost: 3.7981\n",
+      " and the parameters are [-2.85888313  3.88040818] -5.068220107285927 ;\n",
+      "Epoch 580/1000, Cost: 4.2387\n",
+      " and the parameters are [-2.85885596  3.88034065] -5.068292651407062 ;\n",
+      "Epoch 580/1000, Cost: 1.5123\n",
+      " and the parameters are [-2.8588917   3.88030519] -5.068330014551964 ;\n",
+      "Epoch 580/1000, Cost: 1.4397\n",
+      " and the parameters are [-2.85887229  3.8802969 ] -5.068369160149923 ;\n",
+      "Epoch 580/1000, Cost: 2.1258\n",
+      " and the parameters are [-2.85881353  3.88030028] -5.0684228313029065 ;\n",
+      "Epoch 580/1000, Cost: 2.2106\n",
+      " and the parameters are [-2.85874902  3.88037814] -5.068433013468801 ;\n",
+      "Epoch 580/1000, Cost: 2.1722\n",
+      " and the parameters are [-2.8587862   3.88047579] -5.068371781352717 ;\n",
+      "Epoch 580/1000, Cost: 0.9160\n",
+      " and the parameters are [-2.85879708  3.88050154] -5.068371836354208 ;\n",
+      "Epoch 580/1000, Cost: 1.9694\n",
+      " and the parameters are [-2.85885412  3.88054499] -5.068332408636059 ;\n",
+      "Epoch 580/1000, Cost: 3.2169\n",
+      " and the parameters are [-2.85883862  3.8806319 ] -5.068279226991896 ;\n",
+      "Epoch 580/1000, Cost: 3.9718\n",
+      " and the parameters are [-2.858839    3.88069175] -5.068246278901396 ;\n",
+      "Epoch 580/1000, Cost: 1.6144\n",
+      " and the parameters are [-2.85878554  3.88078469] -5.068231074156885 ;\n",
+      "Epoch 580/1000, Cost: 3.8865\n",
+      " and the parameters are [-2.85877138  3.88077151] -5.0682769658700115 ;\n",
+      "Epoch 580/1000, Cost: 1.3340\n",
+      " and the parameters are [-2.85875416  3.88077426] -5.068315464354688 ;\n",
+      "Epoch 580/1000, Cost: 9.4485\n",
+      " and the parameters are [-2.85869246  3.88085793] -5.068249390256934 ;\n",
+      "Epoch 580/1000, Cost: 2.6174\n",
+      " and the parameters are [-2.85866639  3.88095928] -5.068232938147637 ;\n",
+      "Epoch 580/1000, Cost: 2.6001\n",
+      " and the parameters are [-2.85868835  3.88100568] -5.068218154255728 ;\n",
+      "Epoch 580/1000, Cost: 1.5012\n",
+      " and the parameters are [-2.85868716  3.88106944] -5.068202158599482 ;\n",
+      "Epoch 580/1000, Cost: 5.5732\n",
+      " and the parameters are [-2.85871478  3.88096261] -5.0682774756209135 ;\n",
+      "Epoch 580/1000, Cost: 1.2482\n",
+      " and the parameters are [-2.85872775  3.88100745] -5.06826152565948 ;\n",
+      "Epoch 580/1000, Cost: 2.2070\n",
+      " and the parameters are [-2.85874855  3.88093762] -5.0683328491065875 ;\n",
+      "Epoch 580/1000, Cost: 3.0947\n",
+      " and the parameters are [-2.85878857  3.88087635] -5.068374975933177 ;\n",
+      "Epoch 580/1000, Cost: 6.9301\n",
+      " and the parameters are [-2.85879539  3.88076727] -5.068450550751051 ;\n",
+      "Epoch 580/1000, Cost: 4.4029\n",
+      " and the parameters are [-2.85878753  3.8807036 ] -5.068505385843543 ;\n",
+      "Epoch 580/1000, Cost: 4.4473\n",
+      " and the parameters are [-2.85875127  3.88070421] -5.06854698764524 ;\n",
+      "Epoch 580/1000, Cost: 2.3277\n",
+      " and the parameters are [-2.85879579  3.8807091 ] -5.068544105338813 ;\n",
+      "Epoch 580/1000, Cost: 0.9449\n",
+      " and the parameters are [-2.85879646  3.88076688] -5.068525718221513 ;\n",
+      "Epoch 580/1000, Cost: 6.4927\n",
+      " and the parameters are [-2.85869079  3.88089482] -5.0684924922125605 ;\n",
+      "Epoch 580/1000, Cost: 3.2965\n",
+      " and the parameters are [-2.85872608  3.88092212] -5.068477093013979 ;\n",
+      "Epoch 580/1000, Cost: 1.9190\n",
+      " and the parameters are [-2.85874592  3.8809466 ] -5.0684839073976296 ;\n",
+      "Epoch 580/1000, Cost: 2.8254\n",
+      " and the parameters are [-2.85886297  3.88086068] -5.068513157009909 ;\n",
+      "Epoch 580/1000, Cost: 1.5406\n",
+      " and the parameters are [-2.85887231  3.88088651] -5.068517007437054 ;\n",
+      "Epoch 580/1000, Cost: 4.3680\n",
+      " and the parameters are [-2.85889121  3.88073626] -5.068626039228475 ;\n",
+      "Epoch 580/1000, Cost: 1.3449\n",
+      " and the parameters are [-2.85888571  3.8807519 ] -5.068644933567845 ;\n",
+      "Epoch 580/1000, Cost: 3.2086\n",
+      " and the parameters are [-2.8588734   3.88080497] -5.068629336724652 ;\n",
+      "Epoch 580/1000, Cost: 1.4077\n",
+      " and the parameters are [-2.85888562  3.88084969] -5.068615447836857 ;\n",
+      "Epoch 580/1000, Cost: 1.8076\n",
+      " and the parameters are [-2.85886087  3.88086101] -5.0686472631783825 ;\n",
+      "Epoch 580/1000, Cost: 5.1578\n",
+      " and the parameters are [-2.8588433   3.88082692] -5.068699424519835 ;\n",
+      "Epoch 580/1000, Cost: 3.2197\n",
+      " and the parameters are [-2.85879744  3.88089393] -5.06869088444299 ;\n",
+      "Epoch 580/1000, Cost: 4.4776\n",
+      " and the parameters are [-2.85867229  3.88103413] -5.068701235803681 ;\n",
+      "Epoch 580/1000, Cost: 1.3749\n",
+      " and the parameters are [-2.85869879  3.88101454] -5.068731755896742 ;\n",
+      "Epoch 580/1000, Cost: 5.4334\n",
+      " and the parameters are [-2.85869639  3.8809673 ] -5.068793129199606 ;\n",
+      "Epoch 580/1000, Cost: 2.8099\n",
+      " and the parameters are [-2.85869646  3.88094584] -5.068846721128294 ;\n",
+      "Epoch 580/1000, Cost: 3.2936\n",
+      " and the parameters are [-2.85880301  3.8807977 ] -5.068920316562691 ;\n",
+      "Epoch 580/1000, Cost: 2.5638\n",
+      " and the parameters are [-2.85876239  3.88077428] -5.06898715483843 ;\n",
+      "Epoch 580/1000, Cost: 2.9357\n",
+      " and the parameters are [-2.85875941  3.88080746] -5.068978007307894 ;\n",
+      "Epoch 580/1000, Cost: 5.2616\n",
+      " and the parameters are [-2.85872796  3.88075107] -5.069043925816732 ;\n",
+      "Epoch 580/1000, Cost: 1.9895\n",
+      " and the parameters are [-2.85875905  3.88078121] -5.06902961333736 ;\n",
+      "Epoch 580/1000, Cost: 2.9089\n",
+      " and the parameters are [-2.85873591  3.88082063] -5.0690479362869505 ;\n",
+      "Epoch 580/1000, Cost: 1.6173\n",
+      " and the parameters are [-2.8587169   3.88089445] -5.069028914158528 ;\n",
+      "Epoch 580/1000, Cost: 1.5000\n",
+      " and the parameters are [-2.85872011  3.88089272] -5.0690589737749026 ;\n",
+      "Epoch 580/1000, Cost: 1.9458\n",
+      " and the parameters are [-2.85876355  3.88083191] -5.0690965411345195 ;\n",
+      "Epoch 580/1000, Cost: 4.4618\n",
+      " and the parameters are [-2.85885994  3.88066839] -5.0691668985414955 ;\n",
+      "Epoch 580/1000, Cost: 2.7657\n",
+      " and the parameters are [-2.85892065  3.88064378] -5.069189210704909 ;\n",
+      "Epoch 580/1000, Cost: 3.2756\n",
+      " and the parameters are [-2.85888643  3.8807672 ] -5.069135566587068 ;\n",
+      "Epoch 580/1000, Cost: 3.7043\n",
+      " and the parameters are [-2.85880976  3.88083985] -5.069161047747954 ;\n",
+      "Epoch 580/1000, Cost: 1.8582\n",
+      " and the parameters are [-2.85886163  3.88075186] -5.069230381256928 ;\n",
+      "Epoch 580/1000, Cost: 2.0396\n",
+      " and the parameters are [-2.85890868  3.88072026] -5.069250830494899 ;\n",
+      "Epoch 580/1000, Cost: 6.0573\n",
+      " and the parameters are [-2.85883508  3.88083525] -5.069218422471984 ;\n",
+      "Epoch 580/1000, Cost: 2.6450\n",
+      " and the parameters are [-2.85888866  3.88077383] -5.069260383246566 ;\n",
+      "Epoch 580/1000, Cost: 3.8890\n",
+      " and the parameters are [-2.85889726  3.88068999] -5.069338052878053 ;\n",
+      "Epoch 580/1000, Cost: 6.9978\n",
+      " and the parameters are [-2.85875346  3.88070913] -5.0693885341046565 ;\n",
+      "Epoch 580/1000, Cost: 2.3865\n",
+      " and the parameters are [-2.85875964  3.88067244] -5.069447064099964 ;\n",
+      "Epoch 580/1000, Cost: 1.9752\n",
+      " and the parameters are [-2.85875695  3.88065413] -5.0694906822874 ;\n",
+      "Epoch 580/1000, Cost: 1.8186\n",
+      " and the parameters are [-2.85877451  3.88069568] -5.06947074138356 ;\n",
+      "Epoch 580/1000, Cost: 3.1647\n",
+      " and the parameters are [-2.85875802  3.88073208] -5.069489335791267 ;\n",
+      "Epoch 580/1000, Cost: 2.0992\n",
+      " and the parameters are [-2.8587306  3.8807605] -5.069520798347458 ;\n",
+      "Epoch 580/1000, Cost: 2.4899\n",
+      " and the parameters are [-2.85877375  3.88081415] -5.0694833059563384 ;\n",
+      "Epoch 580/1000, Cost: 3.4552\n",
+      " and the parameters are [-2.85884923  3.88081118] -5.06946796044034 ;\n",
+      "Epoch 580/1000, Cost: 1.3027\n",
+      " and the parameters are [-2.85881155  3.88087955] -5.069466336911954 ;\n",
+      "Epoch 580/1000, Cost: 2.2299\n",
+      " and the parameters are [-2.858802    3.88093183] -5.069470333127149 ;\n",
+      "Epoch 580/1000, Cost: 2.1150\n",
+      " and the parameters are [-2.85879198  3.88097068] -5.06948320237369 ;\n",
+      "Epoch 580/1000, Cost: 4.1672\n",
+      " and the parameters are [-2.85885283  3.88085023] -5.069569137324888 ;\n",
+      "Epoch 580/1000, Cost: 1.9302\n",
+      " and the parameters are [-2.85886838  3.88082311] -5.0696088124289895 ;\n",
+      "Epoch 580/1000, Cost: 3.8028\n",
+      " and the parameters are [-2.85891014  3.88083341] -5.069591274135305 ;\n",
+      "Epoch 580/1000, Cost: 1.9989\n",
+      " and the parameters are [-2.85889682  3.88093008] -5.0695675900559936 ;\n",
+      "Epoch 580/1000, Cost: 4.4351\n",
+      " and the parameters are [-2.85896328  3.88083497] -5.069630138794057 ;\n",
+      "Epoch 580/1000, Cost: 6.3192\n",
+      " and the parameters are [-2.85889303  3.88095357] -5.069586089108443 ;\n",
+      "Epoch 580/1000, Cost: 2.6152\n",
+      " and the parameters are [-2.85888256  3.8809015 ] -5.06965168326271 ;\n",
+      "Epoch 580/1000, Cost: 3.6553\n",
+      " and the parameters are [-2.8588613   3.88099001] -5.069607052037983 ;\n",
+      "Epoch 580/1000, Cost: 1.9052\n",
+      " and the parameters are [-2.85885679  3.88105487] -5.069586143442382 ;\n",
+      "Epoch 580/1000, Cost: 3.3458\n",
+      " and the parameters are [-2.85893011  3.88096167] -5.069629357536894 ;\n",
+      "Epoch 580/1000, Cost: 3.5559\n",
+      " and the parameters are [-2.85889854  3.88096977] -5.069662206447567 ;\n",
+      "Epoch 580/1000, Cost: 2.0403\n",
+      " and the parameters are [-2.8589074   3.88095608] -5.0696920921088235 ;\n",
+      "Epoch 580/1000, Cost: 2.5770\n",
+      " and the parameters are [-2.85895453  3.88095141] -5.069698403041749 ;\n",
+      "Epoch 580/1000, Cost: 3.9600\n",
+      " and the parameters are [-2.85889192  3.88105174] -5.069664334242855 ;\n",
+      "Epoch 580/1000, Cost: 4.4520\n",
+      " and the parameters are [-2.85888325  3.88103227] -5.069698703857878 ;\n",
+      "Epoch 580/1000, Cost: 3.3033\n",
+      " and the parameters are [-2.85886404  3.88105256] -5.069727131603369 ;\n",
+      "Epoch 580/1000, Cost: 1.7285\n",
+      " and the parameters are [-2.85885269  3.88106379] -5.06975889585861 ;\n",
+      "Epoch 580/1000, Cost: 5.0819\n",
+      " and the parameters are [-2.85893832  3.88088891] -5.069865891007774 ;\n",
+      "Epoch 580/1000, Cost: 2.3624\n",
+      " and the parameters are [-2.85896964  3.88097073] -5.069819595745164 ;\n",
+      "Epoch 580/1000, Cost: 6.8193\n",
+      " and the parameters are [-2.85898415  3.88108164] -5.069719892789701 ;\n",
+      "Epoch 580/1000, Cost: 4.1217\n",
+      " and the parameters are [-2.85900602  3.88095354] -5.069806729005507 ;\n",
+      "Epoch 580/1000, Cost: 4.9830\n",
+      " and the parameters are [-2.85902639  3.88097114] -5.069808559584092 ;\n",
+      "Epoch 580/1000, Cost: 2.3392\n",
+      " and the parameters are [-2.85901481  3.88105212] -5.069790786645951 ;\n",
+      "Epoch 590/1000, Cost: 1.9484\n",
+      " and the parameters are [-2.87126764  3.89637522] -5.091652006168514 ;\n",
+      "Epoch 590/1000, Cost: 2.0017\n",
+      " and the parameters are [-2.87129345  3.89639388] -5.091654622136589 ;\n",
+      "Epoch 590/1000, Cost: 5.4052\n",
+      " and the parameters are [-2.87133899  3.89626562] -5.09172906922886 ;\n",
+      "Epoch 590/1000, Cost: 2.3700\n",
+      " and the parameters are [-2.87138612  3.89615658] -5.091811580173763 ;\n",
+      "Epoch 590/1000, Cost: 2.7528\n",
+      " and the parameters are [-2.87145329  3.89609324] -5.091850674438895 ;\n",
+      "Epoch 590/1000, Cost: 4.1274\n",
+      " and the parameters are [-2.87140201  3.89603656] -5.091932178337911 ;\n",
+      "Epoch 590/1000, Cost: 4.5504\n",
+      " and the parameters are [-2.87148856  3.89601818] -5.091926834728976 ;\n",
+      "Epoch 590/1000, Cost: 5.3239\n",
+      " and the parameters are [-2.87166855  3.89595864] -5.091884454051377 ;\n",
+      "Epoch 590/1000, Cost: 3.3013\n",
+      " and the parameters are [-2.87170186  3.89587459] -5.091945688826783 ;\n",
+      "Epoch 590/1000, Cost: 1.1789\n",
+      " and the parameters are [-2.87168934  3.8959208 ] -5.091943721871949 ;\n",
+      "Epoch 590/1000, Cost: 5.2570\n",
+      " and the parameters are [-2.87176351  3.89574247] -5.0920345176950965 ;\n",
+      "Epoch 590/1000, Cost: 7.1919\n",
+      " and the parameters are [-2.87185156  3.8955635 ] -5.09211549303974 ;\n",
+      "Epoch 590/1000, Cost: 3.0086\n",
+      " and the parameters are [-2.87177908  3.89568143] -5.092093426072877 ;\n",
+      "Epoch 590/1000, Cost: 1.3676\n",
+      " and the parameters are [-2.8717857  3.8956623] -5.092132764375772 ;\n",
+      "Epoch 590/1000, Cost: 2.7058\n",
+      " and the parameters are [-2.87178468  3.8956494 ] -5.092165597542998 ;\n",
+      "Epoch 590/1000, Cost: 2.2380\n",
+      " and the parameters are [-2.871786    3.89571677] -5.092148085897291 ;\n",
+      "Epoch 590/1000, Cost: 2.8823\n",
+      " and the parameters are [-2.8718452   3.89562273] -5.092217733149479 ;\n",
+      "Epoch 590/1000, Cost: 2.3129\n",
+      " and the parameters are [-2.87185487  3.8956784 ] -5.092200087888966 ;\n",
+      "Epoch 590/1000, Cost: 1.2227\n",
+      " and the parameters are [-2.87187584  3.89571181] -5.092195062701455 ;\n",
+      "Epoch 590/1000, Cost: 3.2251\n",
+      " and the parameters are [-2.87187309  3.89571047] -5.092238259044494 ;\n",
+      "Epoch 590/1000, Cost: 5.0823\n",
+      " and the parameters are [-2.87177061  3.89585935] -5.092183924978306 ;\n",
+      "Epoch 590/1000, Cost: 3.3541\n",
+      " and the parameters are [-2.87183736  3.89579832] -5.092219667893064 ;\n",
+      "Epoch 590/1000, Cost: 1.0410\n",
+      " and the parameters are [-2.87182024  3.89587812] -5.092194332028061 ;\n",
+      "Epoch 590/1000, Cost: 2.0641\n",
+      " and the parameters are [-2.87188145  3.89584202] -5.092213036116598 ;\n",
+      "Epoch 590/1000, Cost: 3.6008\n",
+      " and the parameters are [-2.87191974  3.8958176 ] -5.0922376952776345 ;\n",
+      "Epoch 590/1000, Cost: 5.2235\n",
+      " and the parameters are [-2.87198047  3.89577615] -5.092229772096985 ;\n",
+      "Epoch 590/1000, Cost: 1.7649\n",
+      " and the parameters are [-2.87198611  3.89580539] -5.0922315602913635 ;\n",
+      "Epoch 590/1000, Cost: 3.8782\n",
+      " and the parameters are [-2.87203651  3.89575327] -5.092268141193227 ;\n",
+      "Epoch 590/1000, Cost: 1.9989\n",
+      " and the parameters are [-2.87206143  3.89582482] -5.092226305219416 ;\n",
+      "Epoch 590/1000, Cost: 3.2954\n",
+      " and the parameters are [-2.87199399  3.89591257] -5.092228651810801 ;\n",
+      "Epoch 590/1000, Cost: 2.6812\n",
+      " and the parameters are [-2.87199464  3.89599436] -5.0921933587777195 ;\n",
+      "Epoch 590/1000, Cost: 4.4324\n",
+      " and the parameters are [-2.87185803  3.89602932] -5.092256113098773 ;\n",
+      "Epoch 590/1000, Cost: 1.6279\n",
+      " and the parameters are [-2.87188989  3.89602076] -5.092276407943422 ;\n",
+      "Epoch 590/1000, Cost: 9.0855\n",
+      " and the parameters are [-2.87180293  3.89601365] -5.092302051219636 ;\n",
+      "Epoch 590/1000, Cost: 2.1426\n",
+      " and the parameters are [-2.87185061  3.89600011] -5.092316013282432 ;\n",
+      "Epoch 590/1000, Cost: 1.1069\n",
+      " and the parameters are [-2.87184809  3.89598257] -5.092349520403343 ;\n",
+      "Epoch 590/1000, Cost: 1.3346\n",
+      " and the parameters are [-2.87188021  3.89599075] -5.092347167045795 ;\n",
+      "Epoch 590/1000, Cost: 3.8354\n",
+      " and the parameters are [-2.87182548  3.8960708 ] -5.092357101799537 ;\n",
+      "Epoch 590/1000, Cost: 2.8910\n",
+      " and the parameters are [-2.87184392  3.89606401] -5.092374323217893 ;\n",
+      "Epoch 590/1000, Cost: 2.0725\n",
+      " and the parameters are [-2.87185082  3.89606787] -5.0923947260782185 ;\n",
+      "Epoch 590/1000, Cost: 1.9288\n",
+      " and the parameters are [-2.87189027  3.89612139] -5.0923695036007945 ;\n",
+      "Epoch 590/1000, Cost: 3.1487\n",
+      " and the parameters are [-2.87189647  3.89605501] -5.0924412726896096 ;\n",
+      "Epoch 590/1000, Cost: 4.5391\n",
+      " and the parameters are [-2.8718246   3.89609604] -5.09246396637351 ;\n",
+      "Epoch 590/1000, Cost: 6.8836\n",
+      " and the parameters are [-2.87172514  3.89615928] -5.092439816845223 ;\n",
+      "Epoch 590/1000, Cost: 2.8114\n",
+      " and the parameters are [-2.87164908  3.89621059] -5.092462392272965 ;\n",
+      "Epoch 590/1000, Cost: 3.9952\n",
+      " and the parameters are [-2.87159699  3.89631862] -5.0924247188791005 ;\n",
+      "Epoch 590/1000, Cost: 5.8507\n",
+      " and the parameters are [-2.87166775  3.89622392] -5.092477158723066 ;\n",
+      "Epoch 590/1000, Cost: 2.0264\n",
+      " and the parameters are [-2.87167644  3.89622558] -5.092501199473379 ;\n",
+      "Epoch 590/1000, Cost: 1.6829\n",
+      " and the parameters are [-2.87167509  3.89623663] -5.092515207846554 ;\n",
+      "Epoch 590/1000, Cost: 1.3805\n",
+      " and the parameters are [-2.87167703  3.89627183] -5.0925185360200365 ;\n",
+      "Epoch 590/1000, Cost: 1.9361\n",
+      " and the parameters are [-2.871688    3.89625871] -5.092555337619658 ;\n",
+      "Epoch 590/1000, Cost: 5.8271\n",
+      " and the parameters are [-2.8716207   3.89629892] -5.092560367202763 ;\n",
+      "Epoch 590/1000, Cost: 6.9803\n",
+      " and the parameters are [-2.8716302  3.8964653] -5.09240975034852 ;\n",
+      "Epoch 590/1000, Cost: 1.1838\n",
+      " and the parameters are [-2.87164889  3.89645993] -5.092429198449481 ;\n",
+      "Epoch 590/1000, Cost: 3.8344\n",
+      " and the parameters are [-2.87168087  3.89645387] -5.09244284424928 ;\n",
+      "Epoch 590/1000, Cost: 4.9206\n",
+      " and the parameters are [-2.87179247  3.89630536] -5.092492212141864 ;\n",
+      "Epoch 590/1000, Cost: 4.8873\n",
+      " and the parameters are [-2.87177884  3.8962274 ] -5.092561562274588 ;\n",
+      "Epoch 590/1000, Cost: 2.6869\n",
+      " and the parameters are [-2.87179866  3.89622617] -5.092572907142697 ;\n",
+      "Epoch 590/1000, Cost: 2.0091\n",
+      " and the parameters are [-2.87178986  3.89620584] -5.092612914209168 ;\n",
+      "Epoch 590/1000, Cost: 3.0284\n",
+      " and the parameters are [-2.8717442   3.89619197] -5.092677389903787 ;\n",
+      "Epoch 590/1000, Cost: 6.0529\n",
+      " and the parameters are [-2.87172292  3.89616497] -5.092734572566702 ;\n",
+      "Epoch 590/1000, Cost: 1.6049\n",
+      " and the parameters are [-2.87169861  3.89624436] -5.092718026744167 ;\n",
+      "Epoch 590/1000, Cost: 3.0454\n",
+      " and the parameters are [-2.87172796  3.89617785] -5.092776747544981 ;\n",
+      "Epoch 590/1000, Cost: 1.6573\n",
+      " and the parameters are [-2.87172532  3.89627367] -5.092732805835643 ;\n",
+      "Epoch 590/1000, Cost: 4.5890\n",
+      " and the parameters are [-2.87171457  3.89637667] -5.092697023757036 ;\n",
+      "Epoch 590/1000, Cost: 3.8222\n",
+      " and the parameters are [-2.87186044  3.8962058 ] -5.092769396237429 ;\n",
+      "Epoch 590/1000, Cost: 2.0472\n",
+      " and the parameters are [-2.87184708  3.8962079 ] -5.092794973766866 ;\n",
+      "Epoch 590/1000, Cost: 5.6154\n",
+      " and the parameters are [-2.8718432  3.8961074] -5.092878034491253 ;\n",
+      "Epoch 590/1000, Cost: 1.5991\n",
+      " and the parameters are [-2.87181293  3.89615044] -5.092892034231487 ;\n",
+      "Epoch 590/1000, Cost: 3.8145\n",
+      " and the parameters are [-2.87180153  3.89624101] -5.09286088791083 ;\n",
+      "Epoch 590/1000, Cost: 3.7024\n",
+      " and the parameters are [-2.87183954  3.89622044] -5.09288095014296 ;\n",
+      "Epoch 590/1000, Cost: 3.2968\n",
+      " and the parameters are [-2.87190709  3.89621327] -5.092873100335079 ;\n",
+      "Epoch 590/1000, Cost: 4.9222\n",
+      " and the parameters are [-2.87186874  3.89625914] -5.092869709307801 ;\n",
+      "Epoch 590/1000, Cost: 3.1185\n",
+      " and the parameters are [-2.87187161  3.89625296] -5.092899191544166 ;\n",
+      "Epoch 590/1000, Cost: 4.1669\n",
+      " and the parameters are [-2.87190682  3.89622496] -5.0929341646769695 ;\n",
+      "Epoch 590/1000, Cost: 1.9655\n",
+      " and the parameters are [-2.8719312   3.89626752] -5.09291489704736 ;\n",
+      "Epoch 590/1000, Cost: 1.8488\n",
+      " and the parameters are [-2.87199394  3.89629095] -5.092889002865562 ;\n",
+      "Epoch 590/1000, Cost: 5.1320\n",
+      " and the parameters are [-2.87205304  3.89630098] -5.092853012720211 ;\n",
+      "Epoch 590/1000, Cost: 1.9031\n",
+      " and the parameters are [-2.87207398  3.89632295] -5.092844426748794 ;\n",
+      "Epoch 590/1000, Cost: 2.4005\n",
+      " and the parameters are [-2.87202471  3.89634316] -5.092890215421142 ;\n",
+      "Epoch 590/1000, Cost: 3.0926\n",
+      " and the parameters are [-2.87202529  3.8964674 ] -5.092821701046883 ;\n",
+      "Epoch 590/1000, Cost: 2.6459\n",
+      " and the parameters are [-2.87203158  3.89641993] -5.092878729588438 ;\n",
+      "Epoch 590/1000, Cost: 2.5235\n",
+      " and the parameters are [-2.87204867  3.8964433 ] -5.092882486360095 ;\n",
+      "Epoch 590/1000, Cost: 2.7748\n",
+      " and the parameters are [-2.87204769  3.8964967 ] -5.0928506326948675 ;\n",
+      "Epoch 590/1000, Cost: 4.7207\n",
+      " and the parameters are [-2.87208714  3.89645354] -5.092879389878468 ;\n",
+      "Epoch 590/1000, Cost: 3.4358\n",
+      " and the parameters are [-2.87204811  3.89648922] -5.092882941835624 ;\n",
+      "Epoch 590/1000, Cost: 2.6199\n",
+      " and the parameters are [-2.87200965  3.8965758 ] -5.0928751765774205 ;\n",
+      "Epoch 590/1000, Cost: 2.0509\n",
+      " and the parameters are [-2.87204073  3.89653404] -5.09292045964907 ;\n",
+      "Epoch 590/1000, Cost: 2.4796\n",
+      " and the parameters are [-2.87204767  3.89653952] -5.092936943817352 ;\n",
+      "Epoch 590/1000, Cost: 5.2837\n",
+      " and the parameters are [-2.87213731  3.89649883] -5.092929958452413 ;\n",
+      "Epoch 590/1000, Cost: 0.9864\n",
+      " and the parameters are [-2.87216197  3.89652891] -5.092916928468735 ;\n",
+      "Epoch 590/1000, Cost: 2.5890\n",
+      " and the parameters are [-2.87222537  3.8965019 ] -5.092921191184583 ;\n",
+      "Epoch 590/1000, Cost: 5.4827\n",
+      " and the parameters are [-2.87225785  3.89638663] -5.092977470897135 ;\n",
+      "Epoch 590/1000, Cost: 5.0801\n",
+      " and the parameters are [-2.87228515  3.89647023] -5.0929138949663955 ;\n",
+      "Epoch 590/1000, Cost: 2.2883\n",
+      " and the parameters are [-2.87233327  3.89643671] -5.0929378385424 ;\n",
+      "Epoch 590/1000, Cost: 4.6943\n",
+      " and the parameters are [-2.87233445  3.89639583] -5.0929726023206054 ;\n",
+      "Epoch 590/1000, Cost: 1.1687\n",
+      " and the parameters are [-2.87233737  3.89640842] -5.092987902548625 ;\n",
+      "Epoch 590/1000, Cost: 2.8232\n",
+      " and the parameters are [-2.87236921  3.89641694] -5.092987706771878 ;\n",
+      "Epoch 590/1000, Cost: 2.4025\n",
+      " and the parameters are [-2.87234918  3.8964816 ] -5.092976478896384 ;\n",
+      "Epoch 590/1000, Cost: 1.4087\n",
+      " and the parameters are [-2.87235712  3.89645848] -5.093020311860608 ;\n",
+      "Epoch 590/1000, Cost: 4.0188\n",
+      " and the parameters are [-2.87225001  3.89652687] -5.093041777308906 ;\n",
+      "Epoch 590/1000, Cost: 2.2505\n",
+      " and the parameters are [-2.87225256  3.89647697] -5.093105616199526 ;\n",
+      "Epoch 590/1000, Cost: 5.6353\n",
+      " and the parameters are [-2.8721929   3.89639019] -5.093211640454088 ;\n",
+      "Epoch 590/1000, Cost: 1.7462\n",
+      " and the parameters are [-2.87216961  3.89638641] -5.093258748709716 ;\n",
+      "Epoch 590/1000, Cost: 2.7381\n",
+      " and the parameters are [-2.87210421  3.89638887] -5.093312238415708 ;\n",
+      "Epoch 590/1000, Cost: 1.8608\n",
+      " and the parameters are [-2.8721289   3.89634921] -5.093359097531129 ;\n",
+      "Epoch 590/1000, Cost: 2.0440\n",
+      " and the parameters are [-2.87209049  3.89638151] -5.093392525992008 ;\n",
+      "Epoch 590/1000, Cost: 2.5915\n",
+      " and the parameters are [-2.87211095  3.89638589] -5.093417110718726 ;\n",
+      "Epoch 590/1000, Cost: 3.4689\n",
+      " and the parameters are [-2.87215708  3.89642549] -5.093392775223444 ;\n",
+      "Epoch 590/1000, Cost: 1.0648\n",
+      " and the parameters are [-2.87214638  3.89646449] -5.093395672253633 ;\n",
+      "Epoch 590/1000, Cost: 4.1767\n",
+      " and the parameters are [-2.87218396  3.89639284] -5.093430529745466 ;\n",
+      "Epoch 590/1000, Cost: 4.6125\n",
+      " and the parameters are [-2.87223133  3.89626323] -5.0935146195564185 ;\n",
+      "Epoch 590/1000, Cost: 4.0479\n",
+      " and the parameters are [-2.87229041  3.89623483] -5.09352681967333 ;\n",
+      "Epoch 590/1000, Cost: 2.0941\n",
+      " and the parameters are [-2.87237765  3.8961919 ] -5.093543989111222 ;\n",
+      "Epoch 590/1000, Cost: 9.0077\n",
+      " and the parameters are [-2.87228834  3.89633688] -5.093470125869748 ;\n",
+      "Epoch 590/1000, Cost: 1.3307\n",
+      " and the parameters are [-2.87231093  3.89636567] -5.0934593490274525 ;\n",
+      "Epoch 590/1000, Cost: 5.2722\n",
+      " and the parameters are [-2.8723329   3.89646952] -5.0933841826590776 ;\n",
+      "Epoch 590/1000, Cost: 1.8470\n",
+      " and the parameters are [-2.87233098  3.89646468] -5.0934178682089595 ;\n",
+      "Epoch 590/1000, Cost: 2.7038\n",
+      " and the parameters are [-2.8723384   3.89651425] -5.093403162637778 ;\n",
+      "Epoch 590/1000, Cost: 2.9414\n",
+      " and the parameters are [-2.87236141  3.8965513 ] -5.09340054656708 ;\n",
+      "Epoch 590/1000, Cost: 1.2449\n",
+      " and the parameters are [-2.87231227  3.89657749] -5.093423728808231 ;\n",
+      "Epoch 590/1000, Cost: 3.1522\n",
+      " and the parameters are [-2.87231504  3.89652769] -5.093484061877516 ;\n",
+      "Epoch 590/1000, Cost: 4.7953\n",
+      " and the parameters are [-2.87233846  3.8964671 ] -5.09352978134157 ;\n",
+      "Epoch 590/1000, Cost: 5.7841\n",
+      " and the parameters are [-2.87237508  3.89647284] -5.093523772708844 ;\n",
+      "Epoch 590/1000, Cost: 5.0269\n",
+      " and the parameters are [-2.872265   3.8965643] -5.093530511853368 ;\n",
+      "Epoch 590/1000, Cost: 2.1089\n",
+      " and the parameters are [-2.87223003  3.89664478] -5.093517122048379 ;\n",
+      "Epoch 590/1000, Cost: 4.9752\n",
+      " and the parameters are [-2.87219857  3.89663229] -5.093560315147161 ;\n",
+      "Epoch 590/1000, Cost: 2.6145\n",
+      " and the parameters are [-2.87224092  3.8965502 ] -5.093627929556596 ;\n",
+      "Epoch 590/1000, Cost: 2.4798\n",
+      " and the parameters are [-2.87220988  3.896535  ] -5.093692848469305 ;\n",
+      "Epoch 590/1000, Cost: 2.7807\n",
+      " and the parameters are [-2.87215801  3.89662312] -5.093689547202148 ;\n",
+      "Epoch 590/1000, Cost: 3.8854\n",
+      " and the parameters are [-2.87216441  3.89668777] -5.093649691001134 ;\n",
+      "Epoch 590/1000, Cost: 2.3883\n",
+      " and the parameters are [-2.87210523  3.89679475] -5.09362422046402 ;\n",
+      "Epoch 590/1000, Cost: 4.3631\n",
+      " and the parameters are [-2.8721874   3.89683234] -5.093577275788042 ;\n",
+      "Epoch 590/1000, Cost: 3.6996\n",
+      " and the parameters are [-2.87223584  3.89678153] -5.093626436693014 ;\n",
+      "Epoch 590/1000, Cost: 1.3851\n",
+      " and the parameters are [-2.8722262   3.89685107] -5.09361012225466 ;\n",
+      "Epoch 590/1000, Cost: 2.1166\n",
+      " and the parameters are [-2.8721793   3.89698188] -5.093562189279998 ;\n",
+      "Epoch 590/1000, Cost: 2.0785\n",
+      " and the parameters are [-2.87220635  3.89694929] -5.093603112862626 ;\n",
+      "Epoch 590/1000, Cost: 5.8366\n",
+      " and the parameters are [-2.87217308  3.89698424] -5.093584337963356 ;\n",
+      "Epoch 590/1000, Cost: 3.3252\n",
+      " and the parameters are [-2.87217968  3.89695632] -5.093628189300581 ;\n",
+      "Epoch 590/1000, Cost: 7.4457\n",
+      " and the parameters are [-2.87215317  3.89703648] -5.093561932350657 ;\n",
+      "Epoch 590/1000, Cost: 2.1977\n",
+      " and the parameters are [-2.87213636  3.89703351] -5.093603295121166 ;\n",
+      "Epoch 590/1000, Cost: 1.0514\n",
+      " and the parameters are [-2.87216532  3.89699099] -5.093640885001676 ;\n",
+      "Epoch 590/1000, Cost: 4.7105\n",
+      " and the parameters are [-2.87223972  3.89696618] -5.0936483567295285 ;\n",
+      "Epoch 590/1000, Cost: 1.2694\n",
+      " and the parameters are [-2.87225522  3.89697631] -5.093661116012208 ;\n",
+      "Epoch 590/1000, Cost: 2.0784\n",
+      " and the parameters are [-2.87226914  3.89706441] -5.093611187433379 ;\n",
+      "Epoch 590/1000, Cost: 3.3561\n",
+      " and the parameters are [-2.87224643  3.89706073] -5.093660635849699 ;\n",
+      "Epoch 590/1000, Cost: 2.6637\n",
+      " and the parameters are [-2.87221241  3.89700658] -5.093744238974262 ;\n",
+      "Epoch 590/1000, Cost: 1.1237\n",
+      " and the parameters are [-2.87220222  3.89705512] -5.093745316430108 ;\n",
+      "Epoch 590/1000, Cost: 2.5007\n",
+      " and the parameters are [-2.87223611  3.89703059] -5.093780761016755 ;\n",
+      "Epoch 590/1000, Cost: 6.3359\n",
+      " and the parameters are [-2.8722031   3.89703114] -5.093806867153596 ;\n",
+      "Epoch 590/1000, Cost: 4.1947\n",
+      " and the parameters are [-2.87220751  3.89701018] -5.093835755321935 ;\n",
+      "Epoch 590/1000, Cost: 1.0528\n",
+      " and the parameters are [-2.87219397  3.89704732] -5.093841304221381 ;\n",
+      "Epoch 590/1000, Cost: 2.2245\n",
+      " and the parameters are [-2.87220103  3.89708945] -5.093838138943763 ;\n",
+      "Epoch 590/1000, Cost: 4.6427\n",
+      " and the parameters are [-2.87234673  3.89695034] -5.093878326752168 ;\n",
+      "Epoch 590/1000, Cost: 2.4299\n",
+      " and the parameters are [-2.87240178  3.89691303] -5.09391810826925 ;\n",
+      "Epoch 590/1000, Cost: 4.6670\n",
+      " and the parameters are [-2.87238265  3.89693652] -5.093937254075789 ;\n",
+      "Epoch 590/1000, Cost: 5.7691\n",
+      " and the parameters are [-2.87227025  3.8971512 ] -5.093843549992069 ;\n",
+      "Epoch 590/1000, Cost: 2.0398\n",
+      " and the parameters are [-2.87233861  3.89715173] -5.093826819886979 ;\n",
+      "Epoch 590/1000, Cost: 1.9623\n",
+      " and the parameters are [-2.87233648  3.89713959] -5.0938732009679315 ;\n",
+      "Epoch 590/1000, Cost: 4.0747\n",
+      " and the parameters are [-2.87231906  3.89721862] -5.093858136928148 ;\n",
+      "Epoch 590/1000, Cost: 7.3221\n",
+      " and the parameters are [-2.87239756  3.89726428] -5.093783846107454 ;\n",
+      "Epoch 590/1000, Cost: 3.0615\n",
+      " and the parameters are [-2.87245668  3.89732295] -5.0937254856426275 ;\n",
+      "Epoch 590/1000, Cost: 2.1248\n",
+      " and the parameters are [-2.8724311   3.89739273] -5.093725697987555 ;\n",
+      "Epoch 590/1000, Cost: 2.3018\n",
+      " and the parameters are [-2.87250555  3.89735961] -5.093721415453833 ;\n",
+      "Epoch 590/1000, Cost: 2.3304\n",
+      " and the parameters are [-2.87250613  3.89737881] -5.0937397653864345 ;\n",
+      "Epoch 590/1000, Cost: 1.8134\n",
+      " and the parameters are [-2.8724586   3.89740374] -5.093771780725368 ;\n",
+      "Epoch 590/1000, Cost: 2.6605\n",
+      " and the parameters are [-2.87244882  3.89745937] -5.093778955292884 ;\n",
+      "Epoch 590/1000, Cost: 5.0488\n",
+      " and the parameters are [-2.87239881  3.89747718] -5.093815018473061 ;\n",
+      "Epoch 590/1000, Cost: 4.1134\n",
+      " and the parameters are [-2.8724849   3.89749832] -5.09377393837465 ;\n",
+      "Epoch 590/1000, Cost: 1.9638\n",
+      " and the parameters are [-2.87251566  3.89750456] -5.093774603053764 ;\n",
+      "Epoch 590/1000, Cost: 2.4798\n",
+      " and the parameters are [-2.87253658  3.89755217] -5.093765329037499 ;\n",
+      "Epoch 590/1000, Cost: 1.5699\n",
+      " and the parameters are [-2.87253783  3.89757108] -5.0937851650735935 ;\n",
+      "Epoch 590/1000, Cost: 2.8861\n",
+      " and the parameters are [-2.87252406  3.89773782] -5.093698691532687 ;\n",
+      "Epoch 590/1000, Cost: 7.0873\n",
+      " and the parameters are [-2.87247109  3.89770807] -5.093742677781994 ;\n",
+      "Epoch 590/1000, Cost: 2.3150\n",
+      " and the parameters are [-2.8724768   3.89772845] -5.093762986910374 ;\n",
+      "Epoch 590/1000, Cost: 2.1669\n",
+      " and the parameters are [-2.87249962  3.89776464] -5.093751080196961 ;\n",
+      "Epoch 590/1000, Cost: 3.3244\n",
+      " and the parameters are [-2.8725458   3.89777454] -5.093749470720354 ;\n",
+      "Epoch 590/1000, Cost: 4.3754\n",
+      " and the parameters are [-2.87259576  3.89779161] -5.093737241464392 ;\n",
+      "Epoch 590/1000, Cost: 1.3182\n",
+      " and the parameters are [-2.87259493  3.89780236] -5.09375658660442 ;\n",
+      "Epoch 590/1000, Cost: 2.9414\n",
+      " and the parameters are [-2.87258864  3.89783857] -5.0937664974833 ;\n",
+      "Epoch 590/1000, Cost: 2.4821\n",
+      " and the parameters are [-2.87258063  3.89785197] -5.093797457849617 ;\n",
+      "Epoch 590/1000, Cost: 4.0581\n",
+      " and the parameters are [-2.87268512  3.89772641] -5.093843290699539 ;\n",
+      "Epoch 590/1000, Cost: 3.5679\n",
+      " and the parameters are [-2.87274102  3.89784417] -5.093743184008868 ;\n",
+      "Epoch 590/1000, Cost: 3.1195\n",
+      " and the parameters are [-2.87274442  3.89791637] -5.093710197835183 ;\n",
+      "Epoch 590/1000, Cost: 2.1594\n",
+      " and the parameters are [-2.87271607  3.89795743] -5.093730302681047 ;\n",
+      "Epoch 590/1000, Cost: 1.4207\n",
+      " and the parameters are [-2.87274563  3.89793272] -5.093759832444335 ;\n",
+      "Epoch 590/1000, Cost: 4.6783\n",
+      " and the parameters are [-2.87273526  3.89785476] -5.093839488347436 ;\n",
+      "Epoch 590/1000, Cost: 1.8996\n",
+      " and the parameters are [-2.87272459  3.89789786] -5.09383993771025 ;\n",
+      "Epoch 590/1000, Cost: 2.3162\n",
+      " and the parameters are [-2.87276591  3.89788262] -5.0938596015834685 ;\n",
+      "Epoch 590/1000, Cost: 2.9249\n",
+      " and the parameters are [-2.87276877  3.89796828] -5.093819713765932 ;\n",
+      "Epoch 590/1000, Cost: 4.0582\n",
+      " and the parameters are [-2.87275302  3.89788164] -5.093904799812651 ;\n",
+      "Epoch 590/1000, Cost: 5.7740\n",
+      " and the parameters are [-2.87271449  3.89794171] -5.093879807086573 ;\n",
+      "Epoch 590/1000, Cost: 2.0772\n",
+      " and the parameters are [-2.87268191  3.89796839] -5.093906761404014 ;\n",
+      "Epoch 590/1000, Cost: 1.2441\n",
+      " and the parameters are [-2.87267586  3.89803694] -5.093876881656927 ;\n",
+      "Epoch 590/1000, Cost: 1.9979\n",
+      " and the parameters are [-2.87265148  3.898076  ] -5.09388455467873 ;\n",
+      "Epoch 590/1000, Cost: 2.9814\n",
+      " and the parameters are [-2.87273239  3.89795511] -5.093957122775155 ;\n",
+      "Epoch 590/1000, Cost: 5.2934\n",
+      " and the parameters are [-2.87262064  3.89798032] -5.094006954918949 ;\n",
+      "Epoch 590/1000, Cost: 2.5770\n",
+      " and the parameters are [-2.87263934  3.89803962] -5.093984889241832 ;\n",
+      "Epoch 590/1000, Cost: 1.1555\n",
+      " and the parameters are [-2.87264609  3.89805386] -5.093998233163455 ;\n",
+      "Epoch 590/1000, Cost: 2.7335\n",
+      " and the parameters are [-2.87264377  3.89802801] -5.094048972678336 ;\n",
+      "Epoch 600/1000, Cost: 1.6905\n",
+      " and the parameters are [-2.88469677  3.9131341 ] -5.115550721008115 ;\n",
+      "Epoch 600/1000, Cost: 6.1915\n",
+      " and the parameters are [-2.88463932  3.91321317] -5.11552549422834 ;\n",
+      "Epoch 600/1000, Cost: 1.2624\n",
+      " and the parameters are [-2.88460215  3.91331273] -5.115493697327804 ;\n",
+      "Epoch 600/1000, Cost: 2.4818\n",
+      " and the parameters are [-2.88456079  3.91343575] -5.1154534317212965 ;\n",
+      "Epoch 600/1000, Cost: 2.0431\n",
+      " and the parameters are [-2.88455314  3.91344528] -5.115486601877588 ;\n",
+      "Epoch 600/1000, Cost: 1.6405\n",
+      " and the parameters are [-2.88452163  3.91351047] -5.115478777109332 ;\n",
+      "Epoch 600/1000, Cost: 3.9843\n",
+      " and the parameters are [-2.88449379  3.91360342] -5.115445497507913 ;\n",
+      "Epoch 600/1000, Cost: 1.5392\n",
+      " and the parameters are [-2.88444328  3.91363706] -5.115477758931077 ;\n",
+      "Epoch 600/1000, Cost: 1.8073\n",
+      " and the parameters are [-2.88443076  3.91363878] -5.11550805546624 ;\n",
+      "Epoch 600/1000, Cost: 4.9955\n",
+      " and the parameters are [-2.88453568  3.91344974] -5.115613482696043 ;\n",
+      "Epoch 600/1000, Cost: 1.6062\n",
+      " and the parameters are [-2.88453972  3.91348903] -5.11561760022154 ;\n",
+      "Epoch 600/1000, Cost: 5.0665\n",
+      " and the parameters are [-2.88450843  3.91340264] -5.115710412192901 ;\n",
+      "Epoch 600/1000, Cost: 3.8944\n",
+      " and the parameters are [-2.88451362  3.91337853] -5.115758603768277 ;\n",
+      "Epoch 600/1000, Cost: 1.9749\n",
+      " and the parameters are [-2.88454026  3.91332918] -5.115803932499095 ;\n",
+      "Epoch 600/1000, Cost: 1.8008\n",
+      " and the parameters are [-2.88452971  3.91336277] -5.115815997105479 ;\n",
+      "Epoch 600/1000, Cost: 4.8928\n",
+      " and the parameters are [-2.88450575  3.91342844] -5.115791343598098 ;\n",
+      "Epoch 600/1000, Cost: 3.5000\n",
+      " and the parameters are [-2.8845137   3.91334231] -5.115878072165125 ;\n",
+      "Epoch 600/1000, Cost: 3.9503\n",
+      " and the parameters are [-2.88451893  3.91325353] -5.1159535520392545 ;\n",
+      "Epoch 600/1000, Cost: 3.0654\n",
+      " and the parameters are [-2.88449325  3.91323039] -5.116022929395204 ;\n",
+      "Epoch 600/1000, Cost: 2.7901\n",
+      " and the parameters are [-2.88455021  3.91317554] -5.1160722841273225 ;\n",
+      "Epoch 600/1000, Cost: 3.8027\n",
+      " and the parameters are [-2.88447892  3.91334001] -5.116020240469893 ;\n",
+      "Epoch 600/1000, Cost: 4.5674\n",
+      " and the parameters are [-2.8845817   3.91324998] -5.116056525241862 ;\n",
+      "Epoch 600/1000, Cost: 1.1335\n",
+      " and the parameters are [-2.88456419  3.91325666] -5.116081236302794 ;\n",
+      "Epoch 600/1000, Cost: 5.8871\n",
+      " and the parameters are [-2.88448224  3.91339928] -5.116040675077369 ;\n",
+      "Epoch 600/1000, Cost: 1.9945\n",
+      " and the parameters are [-2.88446782  3.91339422] -5.116076102175637 ;\n",
+      "Epoch 600/1000, Cost: 6.1484\n",
+      " and the parameters are [-2.88461813  3.91337265] -5.116021077774125 ;\n",
+      "Epoch 600/1000, Cost: 6.5158\n",
+      " and the parameters are [-2.88465327  3.91317897] -5.116149157991207 ;\n",
+      "Epoch 600/1000, Cost: 2.3370\n",
+      " and the parameters are [-2.88468404  3.91318102] -5.116161298212 ;\n",
+      "Epoch 600/1000, Cost: 4.1825\n",
+      " and the parameters are [-2.88457416  3.91328156] -5.116160159238314 ;\n",
+      "Epoch 600/1000, Cost: 1.3837\n",
+      " and the parameters are [-2.88456566  3.91332412] -5.116152466608663 ;\n",
+      "Epoch 600/1000, Cost: 4.5660\n",
+      " and the parameters are [-2.88461846  3.91331737] -5.1161466972541865 ;\n",
+      "Epoch 600/1000, Cost: 1.8320\n",
+      " and the parameters are [-2.88463593  3.91332844] -5.116156640254435 ;\n",
+      "Epoch 600/1000, Cost: 0.8965\n",
+      " and the parameters are [-2.88464757  3.91331837] -5.116183615270013 ;\n",
+      "Epoch 600/1000, Cost: 3.1623\n",
+      " and the parameters are [-2.88469058  3.91328424] -5.116217376555465 ;\n",
+      "Epoch 600/1000, Cost: 7.2625\n",
+      " and the parameters are [-2.88461515  3.91342593] -5.116125829195 ;\n",
+      "Epoch 600/1000, Cost: 2.8714\n",
+      " and the parameters are [-2.88468094  3.91331183] -5.116198339758239 ;\n",
+      "Epoch 600/1000, Cost: 2.7522\n",
+      " and the parameters are [-2.88469785  3.91337885] -5.116178324438572 ;\n",
+      "Epoch 600/1000, Cost: 3.8097\n",
+      " and the parameters are [-2.88469831  3.9133784 ] -5.11621583393221 ;\n",
+      "Epoch 600/1000, Cost: 1.6099\n",
+      " and the parameters are [-2.88471283  3.9134361 ] -5.116197301836454 ;\n",
+      "Epoch 600/1000, Cost: 3.5411\n",
+      " and the parameters are [-2.88472647  3.91347224] -5.116186380725441 ;\n",
+      "Epoch 600/1000, Cost: 2.1474\n",
+      " and the parameters are [-2.88471862  3.9134635 ] -5.116224514728044 ;\n",
+      "Epoch 600/1000, Cost: 4.1696\n",
+      " and the parameters are [-2.88466781  3.91355996] -5.116178133557512 ;\n",
+      "Epoch 600/1000, Cost: 5.2906\n",
+      " and the parameters are [-2.88459916  3.913581  ] -5.116209911090485 ;\n",
+      "Epoch 600/1000, Cost: 10.3700\n",
+      " and the parameters are [-2.88461023  3.91351912] -5.1162056551553095 ;\n",
+      "Epoch 600/1000, Cost: 2.4907\n",
+      " and the parameters are [-2.88458434  3.91356778] -5.116219605645456 ;\n",
+      "Epoch 600/1000, Cost: 5.3891\n",
+      " and the parameters are [-2.88458953  3.91348185] -5.116287650707292 ;\n",
+      "Epoch 600/1000, Cost: 1.7031\n",
+      " and the parameters are [-2.88459961  3.91351232] -5.1162890384741075 ;\n",
+      "Epoch 600/1000, Cost: 4.5593\n",
+      " and the parameters are [-2.88455147  3.91349025] -5.116346614464845 ;\n",
+      "Epoch 600/1000, Cost: 9.3804\n",
+      " and the parameters are [-2.88464073  3.91342037] -5.116325055973959 ;\n",
+      "Epoch 600/1000, Cost: 5.2553\n",
+      " and the parameters are [-2.88467294  3.91343308] -5.116322122619637 ;\n",
+      "Epoch 600/1000, Cost: 8.0402\n",
+      " and the parameters are [-2.88471028  3.91317895] -5.1164988627890535 ;\n",
+      "Epoch 600/1000, Cost: 0.7271\n",
+      " and the parameters are [-2.8847111   3.91320659] -5.11649700630066 ;\n",
+      "Epoch 600/1000, Cost: 2.5537\n",
+      " and the parameters are [-2.8846648   3.91325447] -5.11650613510577 ;\n",
+      "Epoch 600/1000, Cost: 3.9299\n",
+      " and the parameters are [-2.88470133  3.91328186] -5.116484752433908 ;\n",
+      "Epoch 600/1000, Cost: 8.7093\n",
+      " and the parameters are [-2.88477249  3.91324123] -5.11646472469363 ;\n",
+      "Epoch 600/1000, Cost: 0.7677\n",
+      " and the parameters are [-2.88476781  3.91329161] -5.116448375622643 ;\n",
+      "Epoch 600/1000, Cost: 3.5788\n",
+      " and the parameters are [-2.88476119  3.91340412] -5.116383868689672 ;\n",
+      "Epoch 600/1000, Cost: 4.3306\n",
+      " and the parameters are [-2.8847789   3.91347382] -5.116347452487363 ;\n",
+      "Epoch 600/1000, Cost: 1.9897\n",
+      " and the parameters are [-2.88477285  3.91354861] -5.116330163478606 ;\n",
+      "Epoch 600/1000, Cost: 1.8142\n",
+      " and the parameters are [-2.8848052   3.91358232] -5.1163220175320445 ;\n",
+      "Epoch 600/1000, Cost: 0.9882\n",
+      " and the parameters are [-2.88479551  3.91362187] -5.1163194235888785 ;\n",
+      "Epoch 600/1000, Cost: 2.3242\n",
+      " and the parameters are [-2.8848461   3.91366612] -5.116280879573193 ;\n",
+      "Epoch 600/1000, Cost: 7.7770\n",
+      " and the parameters are [-2.88477846  3.91366   ] -5.116303249382431 ;\n",
+      "Epoch 600/1000, Cost: 3.1020\n",
+      " and the parameters are [-2.88485501  3.91356862] -5.116360327614748 ;\n",
+      "Epoch 600/1000, Cost: 2.3502\n",
+      " and the parameters are [-2.88487145  3.91363729] -5.116322043643071 ;\n",
+      "Epoch 600/1000, Cost: 2.4178\n",
+      " and the parameters are [-2.88486087  3.91374724] -5.1162773683672995 ;\n",
+      "Epoch 600/1000, Cost: 1.0546\n",
+      " and the parameters are [-2.88485073  3.91379621] -5.1162700802101115 ;\n",
+      "Epoch 600/1000, Cost: 3.7406\n",
+      " and the parameters are [-2.88490423  3.91365628] -5.1163429943496 ;\n",
+      "Epoch 600/1000, Cost: 1.4743\n",
+      " and the parameters are [-2.88489131  3.913706  ] -5.116342454948818 ;\n",
+      "Epoch 600/1000, Cost: 1.9496\n",
+      " and the parameters are [-2.88490448  3.91377228] -5.1163159453757165 ;\n",
+      "Epoch 600/1000, Cost: 2.5655\n",
+      " and the parameters are [-2.88485692  3.91381026] -5.11634932565244 ;\n",
+      "Epoch 600/1000, Cost: 1.4035\n",
+      " and the parameters are [-2.88483546  3.91385201] -5.1163606372626065 ;\n",
+      "Epoch 600/1000, Cost: 3.6972\n",
+      " and the parameters are [-2.88489528  3.91377494] -5.1163963097470475 ;\n",
+      "Epoch 600/1000, Cost: 3.0182\n",
+      " and the parameters are [-2.88489488  3.91383275] -5.116375708216425 ;\n",
+      "Epoch 600/1000, Cost: 1.9072\n",
+      " and the parameters are [-2.88491163  3.91383054] -5.116393788655332 ;\n",
+      "Epoch 600/1000, Cost: 1.2521\n",
+      " and the parameters are [-2.88491155  3.91389432] -5.116368131029645 ;\n",
+      "Epoch 600/1000, Cost: 1.5552\n",
+      " and the parameters are [-2.88497507  3.9139364 ] -5.11632483569804 ;\n",
+      "Epoch 600/1000, Cost: 1.0014\n",
+      " and the parameters are [-2.88498539  3.91394001] -5.116336828918118 ;\n",
+      "Epoch 600/1000, Cost: 5.3198\n",
+      " and the parameters are [-2.88501971  3.91406327] -5.116250115580344 ;\n",
+      "Epoch 600/1000, Cost: 3.4351\n",
+      " and the parameters are [-2.8850002   3.91412593] -5.11625170415722 ;\n",
+      "Epoch 600/1000, Cost: 3.0984\n",
+      " and the parameters are [-2.88499154  3.91421704] -5.1162274588883045 ;\n",
+      "Epoch 600/1000, Cost: 8.3190\n",
+      " and the parameters are [-2.8849942   3.91418554] -5.1162333662391495 ;\n",
+      "Epoch 600/1000, Cost: 1.3998\n",
+      " and the parameters are [-2.88502807  3.91418475] -5.116237558764971 ;\n",
+      "Epoch 600/1000, Cost: 3.9920\n",
+      " and the parameters are [-2.88509147  3.91414724] -5.11625122174941 ;\n",
+      "Epoch 600/1000, Cost: 1.7297\n",
+      " and the parameters are [-2.88510699  3.91412245] -5.116291646895309 ;\n",
+      "Epoch 600/1000, Cost: 3.1914\n",
+      " and the parameters are [-2.88513659  3.91408287] -5.116337581798976 ;\n",
+      "Epoch 600/1000, Cost: 1.8287\n",
+      " and the parameters are [-2.88515349  3.91407199] -5.116372982367138 ;\n",
+      "Epoch 600/1000, Cost: 0.8655\n",
+      " and the parameters are [-2.8851494   3.91406703] -5.116401428969233 ;\n",
+      "Epoch 600/1000, Cost: 2.0031\n",
+      " and the parameters are [-2.88515366  3.91406675] -5.116434188085692 ;\n",
+      "Epoch 600/1000, Cost: 3.0009\n",
+      " and the parameters are [-2.88519407  3.914019  ] -5.116470860806063 ;\n",
+      "Epoch 600/1000, Cost: 1.2081\n",
+      " and the parameters are [-2.88519744  3.91409737] -5.11643362238646 ;\n",
+      "Epoch 600/1000, Cost: 2.1369\n",
+      " and the parameters are [-2.8852349   3.91409081] -5.116452895091626 ;\n",
+      "Epoch 600/1000, Cost: 2.8642\n",
+      " and the parameters are [-2.88517759  3.91413441] -5.116475146594806 ;\n",
+      "Epoch 600/1000, Cost: 2.1100\n",
+      " and the parameters are [-2.88518044  3.91412408] -5.116513113578649 ;\n",
+      "Epoch 600/1000, Cost: 4.5380\n",
+      " and the parameters are [-2.88512769  3.91431766] -5.116395367326389 ;\n",
+      "Epoch 600/1000, Cost: 3.2673\n",
+      " and the parameters are [-2.88512315  3.91432926] -5.116418337215506 ;\n",
+      "Epoch 600/1000, Cost: 4.5269\n",
+      " and the parameters are [-2.8852159  3.9142326] -5.1164656020346095 ;\n",
+      "Epoch 600/1000, Cost: 2.6161\n",
+      " and the parameters are [-2.88522874  3.91423335] -5.116476056430568 ;\n",
+      "Epoch 600/1000, Cost: 3.0973\n",
+      " and the parameters are [-2.88525128  3.91431238] -5.116411527430406 ;\n",
+      "Epoch 600/1000, Cost: 4.1349\n",
+      " and the parameters are [-2.88515449  3.91450019] -5.116372143349588 ;\n",
+      "Epoch 600/1000, Cost: 2.7528\n",
+      " and the parameters are [-2.88520076  3.91442853] -5.116426535023804 ;\n",
+      "Epoch 600/1000, Cost: 6.3454\n",
+      " and the parameters are [-2.88518279  3.91449035] -5.116385713196789 ;\n",
+      "Epoch 600/1000, Cost: 3.7335\n",
+      " and the parameters are [-2.88517771  3.91449221] -5.116412991944691 ;\n",
+      "Epoch 600/1000, Cost: 1.6442\n",
+      " and the parameters are [-2.88515223  3.91449414] -5.1164557221314375 ;\n",
+      "Epoch 600/1000, Cost: 4.2950\n",
+      " and the parameters are [-2.88518134  3.91438306] -5.116541178018525 ;\n",
+      "Epoch 600/1000, Cost: 2.9549\n",
+      " and the parameters are [-2.88513948  3.91452972] -5.1164810043379445 ;\n",
+      "Epoch 600/1000, Cost: 4.5601\n",
+      " and the parameters are [-2.88519947  3.91441086] -5.116536444629825 ;\n",
+      "Epoch 600/1000, Cost: 0.8070\n",
+      " and the parameters are [-2.88522431  3.91440119] -5.11655228271535 ;\n",
+      "Epoch 600/1000, Cost: 4.0646\n",
+      " and the parameters are [-2.88518652  3.91433158] -5.1166454896173255 ;\n",
+      "Epoch 600/1000, Cost: 5.8247\n",
+      " and the parameters are [-2.88517684  3.91431651] -5.1166793878455294 ;\n",
+      "Epoch 600/1000, Cost: 2.1791\n",
+      " and the parameters are [-2.88516787  3.9143425 ] -5.116698162045069 ;\n",
+      "Epoch 600/1000, Cost: 2.5625\n",
+      " and the parameters are [-2.88517092  3.91436064] -5.116700808787204 ;\n",
+      "Epoch 600/1000, Cost: 4.9490\n",
+      " and the parameters are [-2.88512736  3.91452955] -5.116598403822654 ;\n",
+      "Epoch 600/1000, Cost: 4.1484\n",
+      " and the parameters are [-2.88516108  3.91450748] -5.116621141011575 ;\n",
+      "Epoch 600/1000, Cost: 2.7714\n",
+      " and the parameters are [-2.88515138  3.91460311] -5.116565591654218 ;\n",
+      "Epoch 600/1000, Cost: 3.7086\n",
+      " and the parameters are [-2.88516364  3.91468757] -5.116505758685327 ;\n",
+      "Epoch 600/1000, Cost: 2.1305\n",
+      " and the parameters are [-2.88519808  3.9147023 ] -5.116506993813233 ;\n",
+      "Epoch 600/1000, Cost: 7.7253\n",
+      " and the parameters are [-2.88517211  3.91466307] -5.116558056078371 ;\n",
+      "Epoch 600/1000, Cost: 2.4939\n",
+      " and the parameters are [-2.88515897  3.91475711] -5.116529641931079 ;\n",
+      "Epoch 600/1000, Cost: 2.4742\n",
+      " and the parameters are [-2.88515186  3.91470296] -5.116612782589506 ;\n",
+      "Epoch 600/1000, Cost: 3.8393\n",
+      " and the parameters are [-2.88513328  3.91466423] -5.116681178816659 ;\n",
+      "Epoch 600/1000, Cost: 1.9359\n",
+      " and the parameters are [-2.88508318  3.91466459] -5.116738542515515 ;\n",
+      "Epoch 600/1000, Cost: 4.7481\n",
+      " and the parameters are [-2.88511525  3.9145301 ] -5.11683020333015 ;\n",
+      "Epoch 600/1000, Cost: 1.7024\n",
+      " and the parameters are [-2.88513682  3.91446864] -5.116887920664835 ;\n",
+      "Epoch 600/1000, Cost: 4.4460\n",
+      " and the parameters are [-2.88504838  3.91466665] -5.116812017304553 ;\n",
+      "Epoch 600/1000, Cost: 3.4827\n",
+      " and the parameters are [-2.88503257  3.91463054] -5.116869821883966 ;\n",
+      "Epoch 600/1000, Cost: 1.6173\n",
+      " and the parameters are [-2.88501656  3.91469667] -5.116863050880314 ;\n",
+      "Epoch 600/1000, Cost: 1.8263\n",
+      " and the parameters are [-2.88503863  3.91468142] -5.116890352440481 ;\n",
+      "Epoch 600/1000, Cost: 4.6243\n",
+      " and the parameters are [-2.88509067  3.91462107] -5.11691828340597 ;\n",
+      "Epoch 600/1000, Cost: 2.6027\n",
+      " and the parameters are [-2.8851521   3.91466342] -5.116883712727678 ;\n",
+      "Epoch 600/1000, Cost: 3.9862\n",
+      " and the parameters are [-2.88515645  3.91483623] -5.1167650284887065 ;\n",
+      "Epoch 600/1000, Cost: 3.7160\n",
+      " and the parameters are [-2.88517115  3.91493018] -5.116722513061988 ;\n",
+      "Epoch 600/1000, Cost: 2.5869\n",
+      " and the parameters are [-2.88520055  3.91490419] -5.116764633448906 ;\n",
+      "Epoch 600/1000, Cost: 3.2828\n",
+      " and the parameters are [-2.88516483  3.91493797] -5.116778596655114 ;\n",
+      "Epoch 600/1000, Cost: 3.4503\n",
+      " and the parameters are [-2.88513186  3.91498527] -5.116792842962562 ;\n",
+      "Epoch 600/1000, Cost: 2.4797\n",
+      " and the parameters are [-2.88516717  3.91498553] -5.116805648502546 ;\n",
+      "Epoch 600/1000, Cost: 4.6489\n",
+      " and the parameters are [-2.88522208  3.91506236] -5.11673529370329 ;\n",
+      "Epoch 600/1000, Cost: 3.2754\n",
+      " and the parameters are [-2.88528981  3.91508594] -5.116700407094428 ;\n",
+      "Epoch 600/1000, Cost: 2.1222\n",
+      " and the parameters are [-2.88533461  3.91502695] -5.116760310786313 ;\n",
+      "Epoch 600/1000, Cost: 1.8250\n",
+      " and the parameters are [-2.88532642  3.91505169] -5.116775866627383 ;\n",
+      "Epoch 600/1000, Cost: 4.9472\n",
+      " and the parameters are [-2.88545687  3.91486214] -5.116854611517578 ;\n",
+      "Epoch 600/1000, Cost: 2.6324\n",
+      " and the parameters are [-2.88546758  3.9149265 ] -5.116836610776239 ;\n",
+      "Epoch 600/1000, Cost: 4.4689\n",
+      " and the parameters are [-2.88544788  3.91485863] -5.116917809871565 ;\n",
+      "Epoch 600/1000, Cost: 3.0861\n",
+      " and the parameters are [-2.88544574  3.91484604] -5.116952654354249 ;\n",
+      "Epoch 600/1000, Cost: 4.4376\n",
+      " and the parameters are [-2.88535661  3.91490007] -5.116963405195051 ;\n",
+      "Epoch 600/1000, Cost: 2.9633\n",
+      " and the parameters are [-2.88525654  3.91511226] -5.116872690235108 ;\n",
+      "Epoch 600/1000, Cost: 0.8847\n",
+      " and the parameters are [-2.88526446  3.9151595 ] -5.116856251058921 ;\n",
+      "Epoch 600/1000, Cost: 0.8756\n",
+      " and the parameters are [-2.88527692  3.91515494] -5.116874550023169 ;\n",
+      "Epoch 600/1000, Cost: 3.1447\n",
+      " and the parameters are [-2.88525486  3.91508418] -5.11695014182068 ;\n",
+      "Epoch 600/1000, Cost: 0.9587\n",
+      " and the parameters are [-2.88526398  3.91506444] -5.116982730790694 ;\n",
+      "Epoch 600/1000, Cost: 2.4533\n",
+      " and the parameters are [-2.88532736  3.91496947] -5.117051657217597 ;\n",
+      "Epoch 600/1000, Cost: 3.8900\n",
+      " and the parameters are [-2.88536004  3.91510594] -5.116960384104469 ;\n",
+      "Epoch 600/1000, Cost: 3.7185\n",
+      " and the parameters are [-2.88538095  3.91513115] -5.116966583112231 ;\n",
+      "Epoch 600/1000, Cost: 1.5676\n",
+      " and the parameters are [-2.88538636  3.91516253] -5.116967990375636 ;\n",
+      "Epoch 600/1000, Cost: 2.2144\n",
+      " and the parameters are [-2.88536189  3.91520512] -5.116975149522357 ;\n",
+      "Epoch 600/1000, Cost: 1.5330\n",
+      " and the parameters are [-2.88535637  3.9152822 ] -5.116953081578662 ;\n",
+      "Epoch 600/1000, Cost: 4.7792\n",
+      " and the parameters are [-2.88530899  3.91516426] -5.117070678765903 ;\n",
+      "Epoch 600/1000, Cost: 1.8762\n",
+      " and the parameters are [-2.88533145  3.91514285] -5.117100928401818 ;\n",
+      "Epoch 600/1000, Cost: 4.1105\n",
+      " and the parameters are [-2.88533367  3.91520165] -5.117065400510602 ;\n",
+      "Epoch 600/1000, Cost: 3.4534\n",
+      " and the parameters are [-2.88541055  3.91506246] -5.1171407915966975 ;\n",
+      "Epoch 600/1000, Cost: 3.1698\n",
+      " and the parameters are [-2.88538676  3.91508461] -5.11715324450173 ;\n",
+      "Epoch 600/1000, Cost: 2.7629\n",
+      " and the parameters are [-2.88545505  3.91504901] -5.117152444390178 ;\n",
+      "Epoch 600/1000, Cost: 3.9764\n",
+      " and the parameters are [-2.88553905  3.91493573] -5.117214969821829 ;\n",
+      "Epoch 600/1000, Cost: 1.9160\n",
+      " and the parameters are [-2.8855409   3.91497196] -5.117217774679718 ;\n",
+      "Epoch 600/1000, Cost: 4.1332\n",
+      " and the parameters are [-2.88559473  3.91509578] -5.1171281246581035 ;\n",
+      "Epoch 600/1000, Cost: 3.0004\n",
+      " and the parameters are [-2.88564435  3.91514056] -5.117083350304683 ;\n",
+      "Epoch 600/1000, Cost: 4.0999\n",
+      " and the parameters are [-2.88563272  3.91518519] -5.117078609279639 ;\n",
+      "Epoch 600/1000, Cost: 3.8335\n",
+      " and the parameters are [-2.88564413  3.9151436 ] -5.117136743251006 ;\n",
+      "Epoch 600/1000, Cost: 2.2598\n",
+      " and the parameters are [-2.8856033   3.91515565] -5.117178321983917 ;\n",
+      "Epoch 600/1000, Cost: 4.5978\n",
+      " and the parameters are [-2.88566001  3.91509143] -5.11720246677413 ;\n",
+      "Epoch 600/1000, Cost: 1.8127\n",
+      " and the parameters are [-2.88563996  3.91511508] -5.117223754545514 ;\n",
+      "Epoch 600/1000, Cost: 2.1059\n",
+      " and the parameters are [-2.88565886  3.9151368 ] -5.117229384149986 ;\n",
+      "Epoch 600/1000, Cost: 1.7155\n",
+      " and the parameters are [-2.88564483  3.91513735] -5.117258812825485 ;\n",
+      "Epoch 600/1000, Cost: 2.9083\n",
+      " and the parameters are [-2.88568189  3.91510475] -5.11729873140224 ;\n",
+      "Epoch 600/1000, Cost: 3.9672\n",
+      " and the parameters are [-2.88576123  3.91493604] -5.117404072324388 ;\n",
+      "Epoch 600/1000, Cost: 3.9098\n",
+      " and the parameters are [-2.88571854  3.91486112] -5.117512901808207 ;\n",
+      "Epoch 600/1000, Cost: 3.8056\n",
+      " and the parameters are [-2.88576598  3.91481653] -5.117538789209982 ;\n",
+      "Epoch 600/1000, Cost: 5.3257\n",
+      " and the parameters are [-2.88569097  3.91475495] -5.117614520301297 ;\n",
+      "Epoch 600/1000, Cost: 4.0879\n",
+      " and the parameters are [-2.88577531  3.91463333] -5.117684980147985 ;\n",
+      "Epoch 600/1000, Cost: 1.2166\n",
+      " and the parameters are [-2.88579522  3.91466289] -5.117676750732804 ;\n",
+      "Epoch 600/1000, Cost: 2.6980\n",
+      " and the parameters are [-2.88578092  3.91467503] -5.117713013769207 ;\n",
+      "Epoch 600/1000, Cost: 1.0520\n",
+      " and the parameters are [-2.88579939  3.91468532] -5.117721527006665 ;\n",
+      "Epoch 600/1000, Cost: 1.5684\n",
+      " and the parameters are [-2.88582088  3.91469672] -5.117735341477039 ;\n",
+      "Epoch 600/1000, Cost: 1.1931\n",
+      " and the parameters are [-2.88579779  3.91474674] -5.117735375383211 ;\n",
+      "Epoch 600/1000, Cost: 3.1970\n",
+      " and the parameters are [-2.88575771  3.91480522] -5.117741408973749 ;\n",
+      "Epoch 600/1000, Cost: 5.1777\n",
+      " and the parameters are [-2.88575698  3.91492659] -5.117652553327711 ;\n",
+      "Epoch 600/1000, Cost: 3.0600\n",
+      " and the parameters are [-2.88567732  3.91500105] -5.117664917560119 ;\n",
+      "Epoch 600/1000, Cost: 2.7676\n",
+      " and the parameters are [-2.88570272  3.91495865] -5.117716795268289 ;\n",
+      "Epoch 600/1000, Cost: 3.1119\n",
+      " and the parameters are [-2.88571482  3.91499006] -5.117708878806369 ;\n",
+      "Epoch 600/1000, Cost: 0.7518\n",
+      " and the parameters are [-2.88570922  3.91502022] -5.117708462290111 ;\n",
+      "Epoch 600/1000, Cost: 3.0004\n",
+      " and the parameters are [-2.88577224  3.91503941] -5.117691137610087 ;\n",
+      "Epoch 600/1000, Cost: 1.6599\n",
+      " and the parameters are [-2.88581036  3.91497201] -5.117741052489352 ;\n",
+      "Epoch 600/1000, Cost: 1.8317\n",
+      " and the parameters are [-2.88585097  3.91497146] -5.117734315757055 ;\n",
+      "Epoch 600/1000, Cost: 3.6564\n",
+      " and the parameters are [-2.88585199  3.9149259 ] -5.117788146065421 ;\n",
+      "Epoch 600/1000, Cost: 2.9087\n",
+      " and the parameters are [-2.88590185  3.91494251] -5.117777058341208 ;\n",
+      "Epoch 600/1000, Cost: 2.0228\n",
+      " and the parameters are [-2.88596409  3.91488827] -5.11780928718426 ;\n",
+      "Epoch 600/1000, Cost: 2.2522\n",
+      " and the parameters are [-2.88589183  3.91500197] -5.117789256200812 ;\n",
+      "Epoch 600/1000, Cost: 7.2649\n",
+      " and the parameters are [-2.88598537  3.91486593] -5.1178237831901585 ;\n",
+      "Epoch 600/1000, Cost: 5.5379\n",
+      " and the parameters are [-2.88606044  3.91471203] -5.117910981371826 ;\n",
+      "Epoch 600/1000, Cost: 0.6985\n",
+      " and the parameters are [-2.88604286  3.91474377] -5.117917417688856 ;\n",
+      "Epoch 610/1000, Cost: 2.2311\n",
+      " and the parameters are [-2.89795349  3.92955728] -5.139091866555305 ;\n",
+      "Epoch 610/1000, Cost: 2.0421\n",
+      " and the parameters are [-2.89794523  3.92963754] -5.139056568555981 ;\n",
+      "Epoch 610/1000, Cost: 5.5990\n",
+      " and the parameters are [-2.89798024  3.92965045] -5.139024790494322 ;\n",
+      "Epoch 610/1000, Cost: 1.9446\n",
+      " and the parameters are [-2.89798486  3.9296897 ] -5.139025406339621 ;\n",
+      "Epoch 610/1000, Cost: 7.0025\n",
+      " and the parameters are [-2.89794355  3.92980034] -5.138947213146349 ;\n",
+      "Epoch 610/1000, Cost: 1.5437\n",
+      " and the parameters are [-2.89797157  3.92976848] -5.138968899645651 ;\n",
+      "Epoch 610/1000, Cost: 2.9976\n",
+      " and the parameters are [-2.89799114  3.92983198] -5.138948574740472 ;\n",
+      "Epoch 610/1000, Cost: 5.2743\n",
+      " and the parameters are [-2.89795013  3.92990276] -5.138912929977865 ;\n",
+      "Epoch 610/1000, Cost: 6.4861\n",
+      " and the parameters are [-2.89800971  3.92984268] -5.138928874712752 ;\n",
+      "Epoch 610/1000, Cost: 2.5592\n",
+      " and the parameters are [-2.89807263  3.92974465] -5.13899574456175 ;\n",
+      "Epoch 610/1000, Cost: 2.1726\n",
+      " and the parameters are [-2.89799645  3.92982312] -5.139003936636141 ;\n",
+      "Epoch 610/1000, Cost: 4.5868\n",
+      " and the parameters are [-2.89798488  3.92981103] -5.139036453114771 ;\n",
+      "Epoch 610/1000, Cost: 4.3549\n",
+      " and the parameters are [-2.89794843  3.9298746 ] -5.138995768133367 ;\n",
+      "Epoch 610/1000, Cost: 1.7670\n",
+      " and the parameters are [-2.8979205   3.92994222] -5.138991668194881 ;\n",
+      "Epoch 610/1000, Cost: 1.7251\n",
+      " and the parameters are [-2.8979413   3.92992715] -5.139009873200099 ;\n",
+      "Epoch 610/1000, Cost: 8.2669\n",
+      " and the parameters are [-2.89805978  3.92976106] -5.13904331955989 ;\n",
+      "Epoch 610/1000, Cost: 1.3773\n",
+      " and the parameters are [-2.89800898  3.92981004] -5.139049992380386 ;\n",
+      "Epoch 610/1000, Cost: 0.9800\n",
+      " and the parameters are [-2.89801485  3.92982001] -5.139063818651988 ;\n",
+      "Epoch 610/1000, Cost: 1.4016\n",
+      " and the parameters are [-2.89800977  3.92980979] -5.139103079714368 ;\n",
+      "Epoch 610/1000, Cost: 3.3703\n",
+      " and the parameters are [-2.89793452  3.92983703] -5.1391548284184685 ;\n",
+      "Epoch 610/1000, Cost: 0.9098\n",
+      " and the parameters are [-2.89789866  3.92992484] -5.139127626398454 ;\n",
+      "Epoch 610/1000, Cost: 1.4816\n",
+      " and the parameters are [-2.89793593  3.9299404 ] -5.139126280599209 ;\n",
+      "Epoch 610/1000, Cost: 4.6895\n",
+      " and the parameters are [-2.89800884  3.92986292] -5.139161932765756 ;\n",
+      "Epoch 610/1000, Cost: 5.4344\n",
+      " and the parameters are [-2.89799019  3.92978534] -5.139229897996817 ;\n",
+      "Epoch 610/1000, Cost: 0.8050\n",
+      " and the parameters are [-2.8979666   3.92983724] -5.13922130007971 ;\n",
+      "Epoch 610/1000, Cost: 3.1422\n",
+      " and the parameters are [-2.89799371  3.92988809] -5.139191616410267 ;\n",
+      "Epoch 610/1000, Cost: 1.4704\n",
+      " and the parameters are [-2.89801899  3.92991359] -5.1391889671891695 ;\n",
+      "Epoch 610/1000, Cost: 3.1240\n",
+      " and the parameters are [-2.8980123   3.92993758] -5.139195248504221 ;\n",
+      "Epoch 610/1000, Cost: 2.8618\n",
+      " and the parameters are [-2.89798366  3.93003054] -5.1391774837543 ;\n",
+      "Epoch 610/1000, Cost: 3.9088\n",
+      " and the parameters are [-2.89804252  3.92995914] -5.139199777815551 ;\n",
+      "Epoch 610/1000, Cost: 1.9162\n",
+      " and the parameters are [-2.89801824  3.9300299 ] -5.139194754443761 ;\n",
+      "Epoch 610/1000, Cost: 5.5409\n",
+      " and the parameters are [-2.89798328  3.93008609] -5.139174524779222 ;\n",
+      "Epoch 610/1000, Cost: 2.3341\n",
+      " and the parameters are [-2.89800725  3.93010239] -5.139176948880914 ;\n",
+      "Epoch 610/1000, Cost: 1.4738\n",
+      " and the parameters are [-2.89805929  3.93012244] -5.139154435494267 ;\n",
+      "Epoch 610/1000, Cost: 1.6730\n",
+      " and the parameters are [-2.8980752  3.9301273] -5.139169394500545 ;\n",
+      "Epoch 610/1000, Cost: 1.0098\n",
+      " and the parameters are [-2.89809434  3.93013885] -5.139175835567319 ;\n",
+      "Epoch 610/1000, Cost: 1.1307\n",
+      " and the parameters are [-2.8981286   3.93010083] -5.1392099720337585 ;\n",
+      "Epoch 610/1000, Cost: 3.9694\n",
+      " and the parameters are [-2.89806961  3.93017225] -5.139211569284291 ;\n",
+      "Epoch 610/1000, Cost: 3.8464\n",
+      " and the parameters are [-2.89814668  3.9300691 ] -5.1392691846151735 ;\n",
+      "Epoch 610/1000, Cost: 3.1920\n",
+      " and the parameters are [-2.89815523  3.93010701] -5.139245951881099 ;\n",
+      "Epoch 610/1000, Cost: 3.7195\n",
+      " and the parameters are [-2.89814535  3.93020945] -5.139207118162247 ;\n",
+      "Epoch 610/1000, Cost: 1.8356\n",
+      " and the parameters are [-2.89816117  3.93022716] -5.139221590671592 ;\n",
+      "Epoch 610/1000, Cost: 6.0319\n",
+      " and the parameters are [-2.89811138  3.9302247 ] -5.139270498023671 ;\n",
+      "Epoch 610/1000, Cost: 4.8726\n",
+      " and the parameters are [-2.89812637  3.93012383] -5.139349208761595 ;\n",
+      "Epoch 610/1000, Cost: 3.6293\n",
+      " and the parameters are [-2.89817993  3.93005908] -5.139395775020054 ;\n",
+      "Epoch 610/1000, Cost: 2.7596\n",
+      " and the parameters are [-2.8981641   3.93016888] -5.139354187032168 ;\n",
+      "Epoch 610/1000, Cost: 2.8458\n",
+      " and the parameters are [-2.89828017  3.93004374] -5.139406708878488 ;\n",
+      "Epoch 610/1000, Cost: 1.5179\n",
+      " and the parameters are [-2.89829069  3.93006132] -5.139416650818918 ;\n",
+      "Epoch 610/1000, Cost: 1.7300\n",
+      " and the parameters are [-2.8983298  3.9300714] -5.139414920018675 ;\n",
+      "Epoch 610/1000, Cost: 6.4829\n",
+      " and the parameters are [-2.89838987  3.93001398] -5.139425352793022 ;\n",
+      "Epoch 610/1000, Cost: 3.1984\n",
+      " and the parameters are [-2.8984358   3.92994178] -5.139481290453603 ;\n",
+      "Epoch 610/1000, Cost: 3.1718\n",
+      " and the parameters are [-2.89836145  3.92999835] -5.139507125321813 ;\n",
+      "Epoch 610/1000, Cost: 3.6379\n",
+      " and the parameters are [-2.89833526  3.92994669] -5.1395826257163835 ;\n",
+      "Epoch 610/1000, Cost: 2.4219\n",
+      " and the parameters are [-2.89831407  3.93003773] -5.139539501975388 ;\n",
+      "Epoch 610/1000, Cost: 2.3480\n",
+      " and the parameters are [-2.89830484  3.93009225] -5.139536061046574 ;\n",
+      "Epoch 610/1000, Cost: 3.5518\n",
+      " and the parameters are [-2.8983742   3.93016324] -5.139452059612144 ;\n",
+      "Epoch 610/1000, Cost: 4.3010\n",
+      " and the parameters are [-2.89844376  3.9300566 ] -5.139527973708322 ;\n",
+      "Epoch 610/1000, Cost: 5.7648\n",
+      " and the parameters are [-2.89845207  3.92998888] -5.139566677376133 ;\n",
+      "Epoch 610/1000, Cost: 1.0866\n",
+      " and the parameters are [-2.89847416  3.92999837] -5.139573126109445 ;\n",
+      "Epoch 610/1000, Cost: 1.7039\n",
+      " and the parameters are [-2.8984873   3.93002683] -5.139569236245712 ;\n",
+      "Epoch 610/1000, Cost: 6.7353\n",
+      " and the parameters are [-2.89843356  3.93016785] -5.139492166280315 ;\n",
+      "Epoch 610/1000, Cost: 1.6097\n",
+      " and the parameters are [-2.89842429  3.9302284 ] -5.139475328215875 ;\n",
+      "Epoch 610/1000, Cost: 3.1748\n",
+      " and the parameters are [-2.8983868   3.93032486] -5.139451795693884 ;\n",
+      "Epoch 610/1000, Cost: 3.6101\n",
+      " and the parameters are [-2.89838643  3.93030466] -5.139505653523467 ;\n",
+      "Epoch 610/1000, Cost: 6.3674\n",
+      " and the parameters are [-2.89834644  3.93031774] -5.139531903854567 ;\n",
+      "Epoch 610/1000, Cost: 2.2831\n",
+      " and the parameters are [-2.89833617  3.93035537] -5.139539839497431 ;\n",
+      "Epoch 610/1000, Cost: 1.0531\n",
+      " and the parameters are [-2.89835763  3.93038106] -5.139534681473876 ;\n",
+      "Epoch 610/1000, Cost: 1.2320\n",
+      " and the parameters are [-2.89833936  3.93040241] -5.139559007063844 ;\n",
+      "Epoch 610/1000, Cost: 2.1067\n",
+      " and the parameters are [-2.89838131  3.93041676] -5.139554602894643 ;\n",
+      "Epoch 610/1000, Cost: 4.3573\n",
+      " and the parameters are [-2.89841389  3.93037016] -5.139599147105556 ;\n",
+      "Epoch 610/1000, Cost: 1.9397\n",
+      " and the parameters are [-2.89845661  3.93032613] -5.139641249352297 ;\n",
+      "Epoch 610/1000, Cost: 3.2710\n",
+      " and the parameters are [-2.89840051  3.93037709] -5.139662529757691 ;\n",
+      "Epoch 610/1000, Cost: 4.3471\n",
+      " and the parameters are [-2.89847459  3.93031644] -5.139695852825713 ;\n",
+      "Epoch 610/1000, Cost: 2.6502\n",
+      " and the parameters are [-2.89849104  3.93036936] -5.139679165175085 ;\n",
+      "Epoch 610/1000, Cost: 3.3125\n",
+      " and the parameters are [-2.89859274  3.93028259] -5.139699442996803 ;\n",
+      "Epoch 610/1000, Cost: 2.4313\n",
+      " and the parameters are [-2.89856836  3.93030115] -5.139722695778861 ;\n",
+      "Epoch 610/1000, Cost: 2.6316\n",
+      " and the parameters are [-2.89854287  3.93035957] -5.13970583047498 ;\n",
+      "Epoch 610/1000, Cost: 4.5833\n",
+      " and the parameters are [-2.89853211  3.9302285 ] -5.139830287128974 ;\n",
+      "Epoch 610/1000, Cost: 3.4392\n",
+      " and the parameters are [-2.89853231  3.93020042] -5.139880353811837 ;\n",
+      "Epoch 610/1000, Cost: 1.7916\n",
+      " and the parameters are [-2.89850348  3.93023212] -5.1398922220760905 ;\n",
+      "Epoch 610/1000, Cost: 2.2092\n",
+      " and the parameters are [-2.89849291  3.93036003] -5.139839725747202 ;\n",
+      "Epoch 610/1000, Cost: 1.5271\n",
+      " and the parameters are [-2.89851822  3.93040396] -5.139824077901853 ;\n",
+      "Epoch 610/1000, Cost: 5.1079\n",
+      " and the parameters are [-2.89854954  3.93038579] -5.139828403351223 ;\n",
+      "Epoch 610/1000, Cost: 1.7257\n",
+      " and the parameters are [-2.89857662  3.93042797] -5.139809730206929 ;\n",
+      "Epoch 610/1000, Cost: 4.2981\n",
+      " and the parameters are [-2.8985921   3.93031742] -5.139887453245563 ;\n",
+      "Epoch 610/1000, Cost: 1.4822\n",
+      " and the parameters are [-2.89861366  3.93033252] -5.1398935951938345 ;\n",
+      "Epoch 610/1000, Cost: 3.4144\n",
+      " and the parameters are [-2.89858355  3.93026864] -5.139963703222728 ;\n",
+      "Epoch 610/1000, Cost: 2.2558\n",
+      " and the parameters are [-2.8985257   3.93035509] -5.139967600494069 ;\n",
+      "Epoch 610/1000, Cost: 7.1320\n",
+      " and the parameters are [-2.89861776  3.93017636] -5.14003815406563 ;\n",
+      "Epoch 610/1000, Cost: 1.5437\n",
+      " and the parameters are [-2.8985915   3.93023288] -5.140033977283054 ;\n",
+      "Epoch 610/1000, Cost: 5.2852\n",
+      " and the parameters are [-2.89868792  3.93012675] -5.140100238369625 ;\n",
+      "Epoch 610/1000, Cost: 2.8784\n",
+      " and the parameters are [-2.89869177  3.93008224] -5.140156350414976 ;\n",
+      "Epoch 610/1000, Cost: 1.9448\n",
+      " and the parameters are [-2.89866296  3.93007245] -5.140197384001816 ;\n",
+      "Epoch 610/1000, Cost: 2.1207\n",
+      " and the parameters are [-2.89865844  3.93017932] -5.140154863934862 ;\n",
+      "Epoch 610/1000, Cost: 2.1094\n",
+      " and the parameters are [-2.8986345   3.93022138] -5.1401559656932 ;\n",
+      "Epoch 610/1000, Cost: 3.2870\n",
+      " and the parameters are [-2.89865255  3.9302291 ] -5.14017867157843 ;\n",
+      "Epoch 610/1000, Cost: 1.7132\n",
+      " and the parameters are [-2.89868391  3.93026712] -5.140167132348582 ;\n",
+      "Epoch 610/1000, Cost: 5.5494\n",
+      " and the parameters are [-2.89865439  3.93034759] -5.1401427123892764 ;\n",
+      "Epoch 610/1000, Cost: 3.8166\n",
+      " and the parameters are [-2.89864405  3.93046402] -5.1400744413995225 ;\n",
+      "Epoch 610/1000, Cost: 5.9382\n",
+      " and the parameters are [-2.89855535  3.93050725] -5.140083270697104 ;\n",
+      "Epoch 610/1000, Cost: 2.1029\n",
+      " and the parameters are [-2.89851077  3.93052024] -5.14012244815424 ;\n",
+      "Epoch 610/1000, Cost: 9.4986\n",
+      " and the parameters are [-2.89849197  3.93043316] -5.1401656924944685 ;\n",
+      "Epoch 610/1000, Cost: 2.5447\n",
+      " and the parameters are [-2.89851024  3.93041923] -5.140192447279739 ;\n",
+      "Epoch 610/1000, Cost: 2.5287\n",
+      " and the parameters are [-2.89848146  3.9305226 ] -5.14015716240885 ;\n",
+      "Epoch 610/1000, Cost: 1.1940\n",
+      " and the parameters are [-2.89846373  3.93055781] -5.140164765269414 ;\n",
+      "Epoch 610/1000, Cost: 3.2206\n",
+      " and the parameters are [-2.89848219  3.93049006] -5.140235655396851 ;\n",
+      "Epoch 610/1000, Cost: 2.5895\n",
+      " and the parameters are [-2.89841817  3.93058424] -5.140227171069996 ;\n",
+      "Epoch 610/1000, Cost: 4.5998\n",
+      " and the parameters are [-2.8984056   3.93061027] -5.140226795244224 ;\n",
+      "Epoch 610/1000, Cost: 2.0918\n",
+      " and the parameters are [-2.89843608  3.93060393] -5.140241237682561 ;\n",
+      "Epoch 610/1000, Cost: 1.6159\n",
+      " and the parameters are [-2.89840039  3.93067628] -5.140239965221688 ;\n",
+      "Epoch 610/1000, Cost: 4.9127\n",
+      " and the parameters are [-2.89842939  3.93053168] -5.140352818390186 ;\n",
+      "Epoch 610/1000, Cost: 3.1956\n",
+      " and the parameters are [-2.89839133  3.93053347] -5.140386097067465 ;\n",
+      "Epoch 610/1000, Cost: 1.9255\n",
+      " and the parameters are [-2.89834207  3.93058196] -5.140412013376204 ;\n",
+      "Epoch 610/1000, Cost: 2.9200\n",
+      " and the parameters are [-2.89838739  3.93057234] -5.140416273133053 ;\n",
+      "Epoch 610/1000, Cost: 5.3147\n",
+      " and the parameters are [-2.89841655  3.93051493] -5.140469702966898 ;\n",
+      "Epoch 610/1000, Cost: 3.2270\n",
+      " and the parameters are [-2.89848541  3.93048544] -5.1404710937909375 ;\n",
+      "Epoch 610/1000, Cost: 1.5694\n",
+      " and the parameters are [-2.89847354  3.9305167 ] -5.140489392498423 ;\n",
+      "Epoch 610/1000, Cost: 3.6769\n",
+      " and the parameters are [-2.89844663  3.93058441] -5.140477954424084 ;\n",
+      "Epoch 610/1000, Cost: 2.2667\n",
+      " and the parameters are [-2.89851656  3.93047075] -5.140544564116112 ;\n",
+      "Epoch 610/1000, Cost: 2.9820\n",
+      " and the parameters are [-2.89860148  3.93035541] -5.140605966211519 ;\n",
+      "Epoch 610/1000, Cost: 2.1533\n",
+      " and the parameters are [-2.89859451  3.93046091] -5.140557022653595 ;\n",
+      "Epoch 610/1000, Cost: 3.2019\n",
+      " and the parameters are [-2.89868154  3.93038578] -5.140587774699968 ;\n",
+      "Epoch 610/1000, Cost: 3.7619\n",
+      " and the parameters are [-2.8987086   3.93044061] -5.140537288527827 ;\n",
+      "Epoch 610/1000, Cost: 4.0514\n",
+      " and the parameters are [-2.89872462  3.9303576 ] -5.140628041618346 ;\n",
+      "Epoch 610/1000, Cost: 4.1442\n",
+      " and the parameters are [-2.89867977  3.93046959] -5.140594464869776 ;\n",
+      "Epoch 610/1000, Cost: 4.0610\n",
+      " and the parameters are [-2.89874055  3.9304203 ] -5.140617531179558 ;\n",
+      "Epoch 610/1000, Cost: 6.3904\n",
+      " and the parameters are [-2.89877836  3.93044555] -5.1405825963565555 ;\n",
+      "Epoch 610/1000, Cost: 1.1608\n",
+      " and the parameters are [-2.89876761  3.93048862] -5.140584050469384 ;\n",
+      "Epoch 610/1000, Cost: 3.3289\n",
+      " and the parameters are [-2.89875121  3.93053604] -5.140579250963119 ;\n",
+      "Epoch 610/1000, Cost: 3.6265\n",
+      " and the parameters are [-2.89876585  3.93070184] -5.140472008197993 ;\n",
+      "Epoch 610/1000, Cost: 2.0465\n",
+      " and the parameters are [-2.89878473  3.93070674] -5.1404953791214005 ;\n",
+      "Epoch 610/1000, Cost: 2.6856\n",
+      " and the parameters are [-2.89878256  3.93067518] -5.140552822323161 ;\n",
+      "Epoch 610/1000, Cost: 0.9782\n",
+      " and the parameters are [-2.89878742  3.93073356] -5.140528600977129 ;\n",
+      "Epoch 610/1000, Cost: 1.8198\n",
+      " and the parameters are [-2.89879881  3.93069347] -5.1405846920980505 ;\n",
+      "Epoch 610/1000, Cost: 2.4012\n",
+      " and the parameters are [-2.89882977  3.9306023 ] -5.140666733803024 ;\n",
+      "Epoch 610/1000, Cost: 2.2131\n",
+      " and the parameters are [-2.89883706  3.93064618] -5.140654092127328 ;\n",
+      "Epoch 610/1000, Cost: 1.4514\n",
+      " and the parameters are [-2.89882245  3.93065503] -5.140685681005989 ;\n",
+      "Epoch 610/1000, Cost: 1.2292\n",
+      " and the parameters are [-2.89884382  3.93070648] -5.140662271375619 ;\n",
+      "Epoch 610/1000, Cost: 3.4379\n",
+      " and the parameters are [-2.89883855  3.93081874] -5.140608842177909 ;\n",
+      "Epoch 610/1000, Cost: 5.0133\n",
+      " and the parameters are [-2.89887367  3.93085752] -5.140580733296419 ;\n",
+      "Epoch 610/1000, Cost: 2.9058\n",
+      " and the parameters are [-2.8988617   3.93089131] -5.140583622392322 ;\n",
+      "Epoch 610/1000, Cost: 2.5018\n",
+      " and the parameters are [-2.89885477  3.93087997] -5.140623678975991 ;\n",
+      "Epoch 610/1000, Cost: 2.2085\n",
+      " and the parameters are [-2.89887337  3.93095723] -5.140588073127071 ;\n",
+      "Epoch 610/1000, Cost: 2.8693\n",
+      " and the parameters are [-2.89888737  3.93095418] -5.1405990911750346 ;\n",
+      "Epoch 610/1000, Cost: 2.1704\n",
+      " and the parameters are [-2.89885287  3.93104041] -5.140571178440796 ;\n",
+      "Epoch 610/1000, Cost: 2.5418\n",
+      " and the parameters are [-2.89884056  3.93106442] -5.140587613301891 ;\n",
+      "Epoch 610/1000, Cost: 2.7295\n",
+      " and the parameters are [-2.8988461   3.93103249] -5.140634248129605 ;\n",
+      "Epoch 610/1000, Cost: 0.4705\n",
+      " and the parameters are [-2.89884393  3.93104034] -5.140646293265152 ;\n",
+      "Epoch 610/1000, Cost: 1.7793\n",
+      " and the parameters are [-2.89878981  3.93107274] -5.140679411237336 ;\n",
+      "Epoch 610/1000, Cost: 3.2243\n",
+      " and the parameters are [-2.89882817  3.93101384] -5.140730911540885 ;\n",
+      "Epoch 610/1000, Cost: 4.9164\n",
+      " and the parameters are [-2.89884376  3.9309588 ] -5.140782665241482 ;\n",
+      "Epoch 610/1000, Cost: 1.4812\n",
+      " and the parameters are [-2.89883452  3.93100051] -5.14078859641094 ;\n",
+      "Epoch 610/1000, Cost: 4.4174\n",
+      " and the parameters are [-2.89875442  3.93094407] -5.140885471710415 ;\n",
+      "Epoch 610/1000, Cost: 3.4122\n",
+      " and the parameters are [-2.8987779   3.93099686] -5.1408486027774085 ;\n",
+      "Epoch 610/1000, Cost: 2.8967\n",
+      " and the parameters are [-2.8988102   3.93111704] -5.1407695807515905 ;\n",
+      "Epoch 610/1000, Cost: 5.4984\n",
+      " and the parameters are [-2.89885369  3.93093939] -5.140892122562785 ;\n",
+      "Epoch 610/1000, Cost: 8.2558\n",
+      " and the parameters are [-2.89878322  3.93093609] -5.140905580075134 ;\n",
+      "Epoch 610/1000, Cost: 2.3775\n",
+      " and the parameters are [-2.89873855  3.93104382] -5.140865579481597 ;\n",
+      "Epoch 610/1000, Cost: 2.4982\n",
+      " and the parameters are [-2.89871917  3.931108  ] -5.14085775313073 ;\n",
+      "Epoch 610/1000, Cost: 1.0847\n",
+      " and the parameters are [-2.89875185  3.93107905] -5.140886074265038 ;\n",
+      "Epoch 610/1000, Cost: 3.9649\n",
+      " and the parameters are [-2.89881389  3.93115908] -5.140804377507664 ;\n",
+      "Epoch 610/1000, Cost: 3.0426\n",
+      " and the parameters are [-2.89879185  3.93125986] -5.140748675338668 ;\n",
+      "Epoch 610/1000, Cost: 2.0507\n",
+      " and the parameters are [-2.89879928  3.93124778] -5.1407836174301735 ;\n",
+      "Epoch 610/1000, Cost: 3.0002\n",
+      " and the parameters are [-2.89876709  3.93130834] -5.14078781646316 ;\n",
+      "Epoch 610/1000, Cost: 1.3894\n",
+      " and the parameters are [-2.8987123   3.93136105] -5.1408037697224165 ;\n",
+      "Epoch 610/1000, Cost: 4.3747\n",
+      " and the parameters are [-2.89878456  3.93128687] -5.140832839045538 ;\n",
+      "Epoch 610/1000, Cost: 3.2284\n",
+      " and the parameters are [-2.89869742  3.93137653] -5.1408392037714465 ;\n",
+      "Epoch 610/1000, Cost: 5.5276\n",
+      " and the parameters are [-2.89876525  3.9313314 ] -5.140831173832681 ;\n",
+      "Epoch 610/1000, Cost: 2.9053\n",
+      " and the parameters are [-2.89876481  3.93140636] -5.140806548618392 ;\n",
+      "Epoch 610/1000, Cost: 1.7041\n",
+      " and the parameters are [-2.89878583  3.93143499] -5.140810292293586 ;\n",
+      "Epoch 610/1000, Cost: 4.2633\n",
+      " and the parameters are [-2.89886647  3.93147681] -5.140759096279384 ;\n",
+      "Epoch 610/1000, Cost: 6.3544\n",
+      " and the parameters are [-2.89873124  3.93144312] -5.140851322003297 ;\n",
+      "Epoch 610/1000, Cost: 2.0516\n",
+      " and the parameters are [-2.89877133  3.93144459] -5.140857472870491 ;\n",
+      "Epoch 610/1000, Cost: 5.3464\n",
+      " and the parameters are [-2.89889109  3.93129421] -5.1409049561970495 ;\n",
+      "Epoch 610/1000, Cost: 2.5306\n",
+      " and the parameters are [-2.89886929  3.93142871] -5.140839227233831 ;\n",
+      "Epoch 610/1000, Cost: 2.4603\n",
+      " and the parameters are [-2.89891438  3.93143622] -5.14083686079041 ;\n",
+      "Epoch 610/1000, Cost: 5.5359\n",
+      " and the parameters are [-2.89886893  3.93143502] -5.140870098141024 ;\n",
+      "Epoch 610/1000, Cost: 2.5978\n",
+      " and the parameters are [-2.89893117  3.93138502] -5.140905626029447 ;\n",
+      "Epoch 610/1000, Cost: 3.4001\n",
+      " and the parameters are [-2.89893428  3.93134831] -5.14096693866436 ;\n",
+      "Epoch 610/1000, Cost: 1.5376\n",
+      " and the parameters are [-2.89893974  3.93138378] -5.140966374771175 ;\n",
+      "Epoch 610/1000, Cost: 3.8132\n",
+      " and the parameters are [-2.89893952  3.93140753] -5.140969217434841 ;\n",
+      "Epoch 610/1000, Cost: 2.2216\n",
+      " and the parameters are [-2.89899319  3.93131989] -5.141029708874127 ;\n",
+      "Epoch 610/1000, Cost: 4.0473\n",
+      " and the parameters are [-2.89901807  3.93131783] -5.141052449264735 ;\n",
+      "Epoch 610/1000, Cost: 5.1101\n",
+      " and the parameters are [-2.89906967  3.93134748] -5.140992098909272 ;\n",
+      "Epoch 610/1000, Cost: 4.8007\n",
+      " and the parameters are [-2.89905044  3.93143381] -5.140966300326826 ;\n",
+      "Epoch 610/1000, Cost: 3.3059\n",
+      " and the parameters are [-2.89900646  3.93156515] -5.140910515561466 ;\n",
+      "Epoch 610/1000, Cost: 3.2887\n",
+      " and the parameters are [-2.89903361  3.9314515 ] -5.140999679929599 ;\n",
+      "Epoch 610/1000, Cost: 4.6679\n",
+      " and the parameters are [-2.89907554  3.93132312] -5.1410866226806595 ;\n",
+      "Epoch 610/1000, Cost: 5.0885\n",
+      " and the parameters are [-2.89910559  3.93132316] -5.141093952102704 ;\n",
+      "Epoch 610/1000, Cost: 6.5138\n",
+      " and the parameters are [-2.89910712  3.93119084] -5.141206176591323 ;\n",
+      "Epoch 610/1000, Cost: 3.7361\n",
+      " and the parameters are [-2.89917556  3.93111367] -5.141250991459648 ;\n",
+      "Epoch 610/1000, Cost: 2.1050\n",
+      " and the parameters are [-2.89916528  3.93116716] -5.141247349927032 ;\n",
+      "Epoch 610/1000, Cost: 2.6547\n",
+      " and the parameters are [-2.89914971  3.9312389 ] -5.141237838403005 ;\n",
+      "Epoch 610/1000, Cost: 4.7217\n",
+      " and the parameters are [-2.89918997  3.93121129] -5.1412566646471465 ;\n",
+      "Epoch 610/1000, Cost: 2.8177\n",
+      " and the parameters are [-2.89924     3.93126949] -5.141220902250005 ;\n",
+      "Epoch 610/1000, Cost: 1.6198\n",
+      " and the parameters are [-2.89930294  3.93128409] -5.1412029757224635 ;\n",
+      "Epoch 610/1000, Cost: 4.6108\n",
+      " and the parameters are [-2.899346    3.93117604] -5.141265932346569 ;\n",
+      "Epoch 610/1000, Cost: 2.0337\n",
+      " and the parameters are [-2.89936256  3.93114303] -5.141315365235329 ;\n",
+      "Epoch 610/1000, Cost: 2.4134\n",
+      " and the parameters are [-2.89934406  3.9311305 ] -5.141373347098186 ;\n",
+      "Epoch 610/1000, Cost: 3.5508\n",
+      " and the parameters are [-2.89925368  3.93114441] -5.141432723211086 ;\n",
+      "Epoch 620/1000, Cost: 2.0791\n",
+      " and the parameters are [-2.91096175  3.94579368] -5.162238382472511 ;\n",
+      "Epoch 620/1000, Cost: 2.5819\n",
+      " and the parameters are [-2.91102263  3.94576382] -5.162248654467801 ;\n",
+      "Epoch 620/1000, Cost: 2.1994\n",
+      " and the parameters are [-2.91103888  3.94581735] -5.162239929582767 ;\n",
+      "Epoch 620/1000, Cost: 3.1384\n",
+      " and the parameters are [-2.91110716  3.94566931] -5.162336687233413 ;\n",
+      "Epoch 620/1000, Cost: 3.3090\n",
+      " and the parameters are [-2.91116309  3.94554284] -5.162420396318645 ;\n",
+      "Epoch 620/1000, Cost: 1.8024\n",
+      " and the parameters are [-2.9112062   3.94553728] -5.162431529492151 ;\n",
+      "Epoch 620/1000, Cost: 2.1998\n",
+      " and the parameters are [-2.91120501  3.94547379] -5.162491245093831 ;\n",
+      "Epoch 620/1000, Cost: 3.9517\n",
+      " and the parameters are [-2.91115363  3.94549508] -5.1625295521362595 ;\n",
+      "Epoch 620/1000, Cost: 2.5559\n",
+      " and the parameters are [-2.91120249  3.94541222] -5.16259049298688 ;\n",
+      "Epoch 620/1000, Cost: 1.8040\n",
+      " and the parameters are [-2.91121443  3.94537897] -5.1626323092502515 ;\n",
+      "Epoch 620/1000, Cost: 3.6822\n",
+      " and the parameters are [-2.91121573  3.94541232] -5.162636688213771 ;\n",
+      "Epoch 620/1000, Cost: 2.6723\n",
+      " and the parameters are [-2.91123009  3.94549646] -5.162573644105641 ;\n",
+      "Epoch 620/1000, Cost: 2.2568\n",
+      " and the parameters are [-2.9112242   3.94555218] -5.1625633973685225 ;\n",
+      "Epoch 620/1000, Cost: 4.4971\n",
+      " and the parameters are [-2.91119999  3.94561087] -5.162532759366665 ;\n",
+      "Epoch 620/1000, Cost: 3.2886\n",
+      " and the parameters are [-2.91121206  3.94564907] -5.162531832341062 ;\n",
+      "Epoch 620/1000, Cost: 2.9531\n",
+      " and the parameters are [-2.91120316  3.94562939] -5.1625889934631175 ;\n",
+      "Epoch 620/1000, Cost: 3.2290\n",
+      " and the parameters are [-2.91119417  3.945734  ] -5.162539041288952 ;\n",
+      "Epoch 620/1000, Cost: 2.0771\n",
+      " and the parameters are [-2.91120077  3.94579593] -5.16251940121662 ;\n",
+      "Epoch 620/1000, Cost: 6.1676\n",
+      " and the parameters are [-2.91136961  3.94576189] -5.162466587543547 ;\n",
+      "Epoch 620/1000, Cost: 1.6042\n",
+      " and the parameters are [-2.9113743   3.94579823] -5.162470210628548 ;\n",
+      "Epoch 620/1000, Cost: 3.8464\n",
+      " and the parameters are [-2.91139417  3.94583275] -5.16244861824603 ;\n",
+      "Epoch 620/1000, Cost: 2.8723\n",
+      " and the parameters are [-2.9113494   3.94596068] -5.162405655993756 ;\n",
+      "Epoch 620/1000, Cost: 1.3726\n",
+      " and the parameters are [-2.91133629  3.9460241 ] -5.162396351931475 ;\n",
+      "Epoch 620/1000, Cost: 1.1316\n",
+      " and the parameters are [-2.91134104  3.94604859] -5.1624037517331285 ;\n",
+      "Epoch 620/1000, Cost: 0.5822\n",
+      " and the parameters are [-2.91133763  3.9460814 ] -5.162399013344251 ;\n",
+      "Epoch 620/1000, Cost: 3.5022\n",
+      " and the parameters are [-2.91134479  3.94614563] -5.1623626342519335 ;\n",
+      "Epoch 620/1000, Cost: 6.4028\n",
+      " and the parameters are [-2.91139897  3.94597448] -5.162463657950914 ;\n",
+      "Epoch 620/1000, Cost: 1.3465\n",
+      " and the parameters are [-2.91139442  3.94594671] -5.16251072677096 ;\n",
+      "Epoch 620/1000, Cost: 1.3269\n",
+      " and the parameters are [-2.91136768  3.94605635] -5.162467948897849 ;\n",
+      "Epoch 620/1000, Cost: 5.0048\n",
+      " and the parameters are [-2.91144042  3.94601302] -5.162478092151937 ;\n",
+      "Epoch 620/1000, Cost: 2.5092\n",
+      " and the parameters are [-2.9113584  3.9460323] -5.162540768779467 ;\n",
+      "Epoch 620/1000, Cost: 3.1799\n",
+      " and the parameters are [-2.91135096  3.94595079] -5.162620238041775 ;\n",
+      "Epoch 620/1000, Cost: 6.0357\n",
+      " and the parameters are [-2.91126449  3.94613851] -5.162541538192121 ;\n",
+      "Epoch 620/1000, Cost: 4.2274\n",
+      " and the parameters are [-2.91131951  3.9462347 ] -5.162465382508539 ;\n",
+      "Epoch 620/1000, Cost: 4.4723\n",
+      " and the parameters are [-2.91129902  3.94623029] -5.162492671724074 ;\n",
+      "Epoch 620/1000, Cost: 2.3086\n",
+      " and the parameters are [-2.91131375  3.94617801] -5.16254743894957 ;\n",
+      "Epoch 620/1000, Cost: 0.9696\n",
+      " and the parameters are [-2.91132805  3.94618233] -5.162560967026269 ;\n",
+      "Epoch 620/1000, Cost: 2.8811\n",
+      " and the parameters are [-2.91137999  3.94620092] -5.162550560022988 ;\n",
+      "Epoch 620/1000, Cost: 2.2338\n",
+      " and the parameters are [-2.91139492  3.94621167] -5.1625654206760325 ;\n",
+      "Epoch 620/1000, Cost: 2.1006\n",
+      " and the parameters are [-2.9113869   3.94624146] -5.162580967690247 ;\n",
+      "Epoch 620/1000, Cost: 2.6767\n",
+      " and the parameters are [-2.91142125  3.94625056] -5.162581146733361 ;\n",
+      "Epoch 620/1000, Cost: 4.9765\n",
+      " and the parameters are [-2.91151551  3.94608056] -5.1626667818739636 ;\n",
+      "Epoch 620/1000, Cost: 1.5726\n",
+      " and the parameters are [-2.91147909  3.94613947] -5.16266684102654 ;\n",
+      "Epoch 620/1000, Cost: 2.0681\n",
+      " and the parameters are [-2.91149986  3.94617773] -5.162658049235917 ;\n",
+      "Epoch 620/1000, Cost: 3.6041\n",
+      " and the parameters are [-2.91147802  3.94610748] -5.162734848701637 ;\n",
+      "Epoch 620/1000, Cost: 1.2499\n",
+      " and the parameters are [-2.91144184  3.94622533] -5.162693435007491 ;\n",
+      "Epoch 620/1000, Cost: 5.7687\n",
+      " and the parameters are [-2.91141625  3.94606965] -5.162833407549498 ;\n",
+      "Epoch 620/1000, Cost: 2.3036\n",
+      " and the parameters are [-2.91143981  3.94607802] -5.162845299838497 ;\n",
+      "Epoch 620/1000, Cost: 1.9044\n",
+      " and the parameters are [-2.9113656  3.9461261] -5.162874202662619 ;\n",
+      "Epoch 620/1000, Cost: 2.9387\n",
+      " and the parameters are [-2.91144799  3.94616624] -5.162838085266041 ;\n",
+      "Epoch 620/1000, Cost: 4.6087\n",
+      " and the parameters are [-2.91140165  3.94621301] -5.1628525470380575 ;\n",
+      "Epoch 620/1000, Cost: 1.9392\n",
+      " and the parameters are [-2.91140826  3.94627484] -5.162829323654492 ;\n",
+      "Epoch 620/1000, Cost: 2.4274\n",
+      " and the parameters are [-2.9113813   3.94627308] -5.162883173213453 ;\n",
+      "Epoch 620/1000, Cost: 3.1365\n",
+      " and the parameters are [-2.91140593  3.94637585] -5.162800693250377 ;\n",
+      "Epoch 620/1000, Cost: 1.0473\n",
+      " and the parameters are [-2.91141731  3.94635054] -5.162837336089924 ;\n",
+      "Epoch 620/1000, Cost: 1.4571\n",
+      " and the parameters are [-2.91142375  3.94635702] -5.162854907424052 ;\n",
+      "Epoch 620/1000, Cost: 3.0724\n",
+      " and the parameters are [-2.91142377  3.94636124] -5.162889482412687 ;\n",
+      "Epoch 620/1000, Cost: 6.6206\n",
+      " and the parameters are [-2.91139592  3.94647076] -5.162828959479423 ;\n",
+      "Epoch 620/1000, Cost: 7.9667\n",
+      " and the parameters are [-2.91144381  3.94634482] -5.16285098375992 ;\n",
+      "Epoch 620/1000, Cost: 3.4885\n",
+      " and the parameters are [-2.91139519  3.94647809] -5.162786662578521 ;\n",
+      "Epoch 620/1000, Cost: 3.3418\n",
+      " and the parameters are [-2.91141021  3.9464331 ] -5.162838768898978 ;\n",
+      "Epoch 620/1000, Cost: 5.1875\n",
+      " and the parameters are [-2.91142467  3.94629989] -5.162946046747987 ;\n",
+      "Epoch 620/1000, Cost: 5.2189\n",
+      " and the parameters are [-2.91143835  3.94625334] -5.162964632447792 ;\n",
+      "Epoch 620/1000, Cost: 5.2390\n",
+      " and the parameters are [-2.91142934  3.94612728] -5.163052006720412 ;\n",
+      "Epoch 620/1000, Cost: 1.8442\n",
+      " and the parameters are [-2.91139631  3.94624268] -5.163008636105039 ;\n",
+      "Epoch 620/1000, Cost: 1.1246\n",
+      " and the parameters are [-2.9113694   3.94629252] -5.163008531140933 ;\n",
+      "Epoch 620/1000, Cost: 1.8214\n",
+      " and the parameters are [-2.91135284  3.94633416] -5.163015692715512 ;\n",
+      "Epoch 620/1000, Cost: 1.6720\n",
+      " and the parameters are [-2.91137669  3.94633785] -5.163030945391613 ;\n",
+      "Epoch 620/1000, Cost: 5.3074\n",
+      " and the parameters are [-2.91147877  3.94630348] -5.163031756983716 ;\n",
+      "Epoch 620/1000, Cost: 3.8448\n",
+      " and the parameters are [-2.91142669  3.94632434] -5.163070784884287 ;\n",
+      "Epoch 620/1000, Cost: 1.6224\n",
+      " and the parameters are [-2.9113782   3.94634615] -5.1631134813530055 ;\n",
+      "Epoch 620/1000, Cost: 3.2442\n",
+      " and the parameters are [-2.91145921  3.94636484] -5.163075358349663 ;\n",
+      "Epoch 620/1000, Cost: 2.3524\n",
+      " and the parameters are [-2.91147327  3.94636949] -5.16308694235557 ;\n",
+      "Epoch 620/1000, Cost: 4.9316\n",
+      " and the parameters are [-2.91143352  3.94631181] -5.163161593965813 ;\n",
+      "Epoch 620/1000, Cost: 2.1836\n",
+      " and the parameters are [-2.91142011  3.94624446] -5.163242169643921 ;\n",
+      "Epoch 620/1000, Cost: 2.3112\n",
+      " and the parameters are [-2.91142822  3.94627842] -5.163242770965993 ;\n",
+      "Epoch 620/1000, Cost: 5.0608\n",
+      " and the parameters are [-2.91148803  3.94619577] -5.163266058258713 ;\n",
+      "Epoch 620/1000, Cost: 1.4256\n",
+      " and the parameters are [-2.91148804  3.94622798] -5.163274772360758 ;\n",
+      "Epoch 620/1000, Cost: 3.8778\n",
+      " and the parameters are [-2.9115041   3.94621851] -5.163298700877858 ;\n",
+      "Epoch 620/1000, Cost: 4.3034\n",
+      " and the parameters are [-2.91160056  3.94626403] -5.163237445747514 ;\n",
+      "Epoch 620/1000, Cost: 6.9722\n",
+      " and the parameters are [-2.91176076  3.94605787] -5.163290813342812 ;\n",
+      "Epoch 620/1000, Cost: 2.0363\n",
+      " and the parameters are [-2.91177461  3.9460671 ] -5.16329066378332 ;\n",
+      "Epoch 620/1000, Cost: 4.9463\n",
+      " and the parameters are [-2.91181309  3.94599964] -5.1633327518212955 ;\n",
+      "Epoch 620/1000, Cost: 2.2609\n",
+      " and the parameters are [-2.91172956  3.94609685] -5.163325006516557 ;\n",
+      "Epoch 620/1000, Cost: 2.3697\n",
+      " and the parameters are [-2.91171615  3.9461027 ] -5.163347330699537 ;\n",
+      "Epoch 620/1000, Cost: 2.1785\n",
+      " and the parameters are [-2.91172797  3.94604427] -5.163419319451984 ;\n",
+      "Epoch 620/1000, Cost: 1.5701\n",
+      " and the parameters are [-2.91173101  3.9460394 ] -5.163453407420512 ;\n",
+      "Epoch 620/1000, Cost: 2.7576\n",
+      " and the parameters are [-2.91170676  3.94613075] -5.163428505738195 ;\n",
+      "Epoch 620/1000, Cost: 1.2327\n",
+      " and the parameters are [-2.91172439  3.94615037] -5.16343142963033 ;\n",
+      "Epoch 620/1000, Cost: 2.2104\n",
+      " and the parameters are [-2.91176289  3.94615764] -5.163439537591316 ;\n",
+      "Epoch 620/1000, Cost: 1.5490\n",
+      " and the parameters are [-2.9117395   3.94617102] -5.163461192030908 ;\n",
+      "Epoch 620/1000, Cost: 2.2360\n",
+      " and the parameters are [-2.91171502  3.94614399] -5.163523778228822 ;\n",
+      "Epoch 620/1000, Cost: 1.5290\n",
+      " and the parameters are [-2.91168513  3.94615339] -5.163563685355108 ;\n",
+      "Epoch 620/1000, Cost: 4.2845\n",
+      " and the parameters are [-2.91175932  3.9460165 ] -5.1636262027312005 ;\n",
+      "Epoch 620/1000, Cost: 2.9347\n",
+      " and the parameters are [-2.91172313  3.94598857] -5.163680727110539 ;\n",
+      "Epoch 620/1000, Cost: 5.8216\n",
+      " and the parameters are [-2.91165245  3.94620073] -5.163567023238163 ;\n",
+      "Epoch 620/1000, Cost: 2.2811\n",
+      " and the parameters are [-2.9116459   3.94625261] -5.163560565856535 ;\n",
+      "Epoch 620/1000, Cost: 1.2349\n",
+      " and the parameters are [-2.91164188  3.94627336] -5.16357180978511 ;\n",
+      "Epoch 620/1000, Cost: 0.7781\n",
+      " and the parameters are [-2.91163969  3.94632991] -5.163552764279876 ;\n",
+      "Epoch 620/1000, Cost: 7.1571\n",
+      " and the parameters are [-2.91178453  3.94603457] -5.163684098882551 ;\n",
+      "Epoch 620/1000, Cost: 4.6818\n",
+      " and the parameters are [-2.91173976  3.94592497] -5.163791808473417 ;\n",
+      "Epoch 620/1000, Cost: 1.4564\n",
+      " and the parameters are [-2.91169867  3.94595445] -5.163816634059988 ;\n",
+      "Epoch 620/1000, Cost: 1.9966\n",
+      " and the parameters are [-2.9117121   3.94598349] -5.163820867863875 ;\n",
+      "Epoch 620/1000, Cost: 4.5054\n",
+      " and the parameters are [-2.9117614   3.94597731] -5.163817065375165 ;\n",
+      "Epoch 620/1000, Cost: 3.1067\n",
+      " and the parameters are [-2.91172915  3.94605869] -5.163809802391823 ;\n",
+      "Epoch 620/1000, Cost: 2.5225\n",
+      " and the parameters are [-2.91173169  3.94612806] -5.16378667728287 ;\n",
+      "Epoch 620/1000, Cost: 2.5915\n",
+      " and the parameters are [-2.91174392  3.94612438] -5.163807020163426 ;\n",
+      "Epoch 620/1000, Cost: 8.1640\n",
+      " and the parameters are [-2.91172701  3.94611532] -5.16380938142593 ;\n",
+      "Epoch 620/1000, Cost: 3.7415\n",
+      " and the parameters are [-2.91178739  3.94604765] -5.163866162603083 ;\n",
+      "Epoch 620/1000, Cost: 2.3255\n",
+      " and the parameters are [-2.91174242  3.94609517] -5.163883274822517 ;\n",
+      "Epoch 620/1000, Cost: 3.0220\n",
+      " and the parameters are [-2.91176064  3.94604811] -5.163925617187455 ;\n",
+      "Epoch 620/1000, Cost: 8.2537\n",
+      " and the parameters are [-2.91177613  3.94598997] -5.163914174603868 ;\n",
+      "Epoch 620/1000, Cost: 2.3707\n",
+      " and the parameters are [-2.91179529  3.94593652] -5.16396887315009 ;\n",
+      "Epoch 620/1000, Cost: 4.5841\n",
+      " and the parameters are [-2.91171945  3.9459564 ] -5.1640250402346215 ;\n",
+      "Epoch 620/1000, Cost: 1.4762\n",
+      " and the parameters are [-2.91175252  3.94592926] -5.164049825168421 ;\n",
+      "Epoch 620/1000, Cost: 1.5157\n",
+      " and the parameters are [-2.91178097  3.94591664] -5.164071085926943 ;\n",
+      "Epoch 620/1000, Cost: 7.8268\n",
+      " and the parameters are [-2.91175124  3.94600261] -5.164006504712656 ;\n",
+      "Epoch 620/1000, Cost: 2.5880\n",
+      " and the parameters are [-2.91173966  3.94600806] -5.164041779636407 ;\n",
+      "Epoch 620/1000, Cost: 2.4393\n",
+      " and the parameters are [-2.91169695  3.94602194] -5.164084748594708 ;\n",
+      "Epoch 620/1000, Cost: 2.3939\n",
+      " and the parameters are [-2.9116684   3.94614989] -5.164033750247752 ;\n",
+      "Epoch 620/1000, Cost: 1.2652\n",
+      " and the parameters are [-2.91165202  3.94615024] -5.164070094636535 ;\n",
+      "Epoch 620/1000, Cost: 3.3675\n",
+      " and the parameters are [-2.91171893  3.94617231] -5.164038160008873 ;\n",
+      "Epoch 620/1000, Cost: 2.8138\n",
+      " and the parameters are [-2.91184898  3.94615738] -5.164007647132069 ;\n",
+      "Epoch 620/1000, Cost: 2.3210\n",
+      " and the parameters are [-2.9118216   3.94621449] -5.164001428684044 ;\n",
+      "Epoch 620/1000, Cost: 5.1338\n",
+      " and the parameters are [-2.9119017   3.94610844] -5.1640747625944226 ;\n",
+      "Epoch 620/1000, Cost: 6.1934\n",
+      " and the parameters are [-2.91191619  3.94607042] -5.164077694984401 ;\n",
+      "Epoch 620/1000, Cost: 2.5553\n",
+      " and the parameters are [-2.91197091  3.94607088] -5.164083152178657 ;\n",
+      "Epoch 620/1000, Cost: 1.9357\n",
+      " and the parameters are [-2.91198996  3.9460994 ] -5.164078417867841 ;\n",
+      "Epoch 620/1000, Cost: 4.6700\n",
+      " and the parameters are [-2.91200913  3.94609669] -5.164087579789548 ;\n",
+      "Epoch 620/1000, Cost: 5.4763\n",
+      " and the parameters are [-2.9119338   3.94610617] -5.164123478229571 ;\n",
+      "Epoch 620/1000, Cost: 4.7145\n",
+      " and the parameters are [-2.91201341  3.94607312] -5.1641323502981615 ;\n",
+      "Epoch 620/1000, Cost: 1.5266\n",
+      " and the parameters are [-2.91202413  3.94608059] -5.164141607265478 ;\n",
+      "Epoch 620/1000, Cost: 6.7609\n",
+      " and the parameters are [-2.91212356  3.94613423] -5.164044244325417 ;\n",
+      "Epoch 620/1000, Cost: 1.5344\n",
+      " and the parameters are [-2.91211684  3.94622921] -5.16399855224052 ;\n",
+      "Epoch 620/1000, Cost: 3.3971\n",
+      " and the parameters are [-2.91205433  3.94622917] -5.164049330124986 ;\n",
+      "Epoch 620/1000, Cost: 3.1106\n",
+      " and the parameters are [-2.91203314  3.94631178] -5.164028132000352 ;\n",
+      "Epoch 620/1000, Cost: 1.1428\n",
+      " and the parameters are [-2.91201467  3.9463782 ] -5.16401537699113 ;\n",
+      "Epoch 620/1000, Cost: 2.7318\n",
+      " and the parameters are [-2.91203396  3.94634821] -5.164059292593135 ;\n",
+      "Epoch 620/1000, Cost: 4.7254\n",
+      " and the parameters are [-2.91199288  3.94635565] -5.164071184432599 ;\n",
+      "Epoch 620/1000, Cost: 2.7100\n",
+      " and the parameters are [-2.91195631  3.94642285] -5.164078293288598 ;\n",
+      "Epoch 620/1000, Cost: 4.2764\n",
+      " and the parameters are [-2.91199309  3.94645079] -5.164058327297609 ;\n",
+      "Epoch 620/1000, Cost: 1.6688\n",
+      " and the parameters are [-2.91199921  3.94652263] -5.164031764362045 ;\n",
+      "Epoch 620/1000, Cost: 0.6678\n",
+      " and the parameters are [-2.91200418  3.94652833] -5.164044995839798 ;\n",
+      "Epoch 620/1000, Cost: 2.0261\n",
+      " and the parameters are [-2.91207083  3.94651171] -5.164045194678633 ;\n",
+      "Epoch 620/1000, Cost: 2.4503\n",
+      " and the parameters are [-2.912133    3.94640606] -5.164110154245554 ;\n",
+      "Epoch 620/1000, Cost: 4.9637\n",
+      " and the parameters are [-2.91205777  3.94654169] -5.1640714130931045 ;\n",
+      "Epoch 620/1000, Cost: 2.5239\n",
+      " and the parameters are [-2.91209448  3.94649981] -5.16410987868934 ;\n",
+      "Epoch 620/1000, Cost: 2.4351\n",
+      " and the parameters are [-2.91211488  3.94648718] -5.164138514197626 ;\n",
+      "Epoch 620/1000, Cost: 1.3599\n",
+      " and the parameters are [-2.91211508  3.94648002] -5.164174292311289 ;\n",
+      "Epoch 620/1000, Cost: 4.4292\n",
+      " and the parameters are [-2.91205143  3.9465282 ] -5.164186442126766 ;\n",
+      "Epoch 620/1000, Cost: 4.3409\n",
+      " and the parameters are [-2.91204935  3.94645493] -5.164256937698233 ;\n",
+      "Epoch 620/1000, Cost: 2.5813\n",
+      " and the parameters are [-2.91206774  3.94652457] -5.164227940064133 ;\n",
+      "Epoch 620/1000, Cost: 4.7474\n",
+      " and the parameters are [-2.91194312  3.94662237] -5.164247746363376 ;\n",
+      "Epoch 620/1000, Cost: 1.5414\n",
+      " and the parameters are [-2.9119888   3.94664373] -5.164235059909895 ;\n",
+      "Epoch 620/1000, Cost: 1.7142\n",
+      " and the parameters are [-2.91200982  3.94667827] -5.1642163320823045 ;\n",
+      "Epoch 620/1000, Cost: 1.5505\n",
+      " and the parameters are [-2.91199279  3.94673759] -5.164206900285018 ;\n",
+      "Epoch 620/1000, Cost: 3.7449\n",
+      " and the parameters are [-2.91203211  3.94666111] -5.164245086245366 ;\n",
+      "Epoch 620/1000, Cost: 2.5059\n",
+      " and the parameters are [-2.91208454  3.94664688] -5.1642519516120915 ;\n",
+      "Epoch 620/1000, Cost: 1.0551\n",
+      " and the parameters are [-2.91210789  3.94667649] -5.1642391354232045 ;\n",
+      "Epoch 620/1000, Cost: 3.6692\n",
+      " and the parameters are [-2.91214636  3.94671147] -5.164211541597524 ;\n",
+      "Epoch 620/1000, Cost: 5.9252\n",
+      " and the parameters are [-2.91214486  3.94672562] -5.164223911971149 ;\n",
+      "Epoch 620/1000, Cost: 3.5635\n",
+      " and the parameters are [-2.91218768  3.94681262] -5.164146262845958 ;\n",
+      "Epoch 620/1000, Cost: 3.6398\n",
+      " and the parameters are [-2.91209557  3.94693764] -5.164117831677417 ;\n",
+      "Epoch 620/1000, Cost: 1.7561\n",
+      " and the parameters are [-2.91207206  3.94694679] -5.164150860549737 ;\n",
+      "Epoch 620/1000, Cost: 1.9507\n",
+      " and the parameters are [-2.91205339  3.9470072 ] -5.16414963300187 ;\n",
+      "Epoch 620/1000, Cost: 4.7245\n",
+      " and the parameters are [-2.91204212  3.94692667] -5.164240080111413 ;\n",
+      "Epoch 620/1000, Cost: 2.2190\n",
+      " and the parameters are [-2.91204592  3.94698104] -5.164226534360847 ;\n",
+      "Epoch 620/1000, Cost: 3.1753\n",
+      " and the parameters are [-2.91212062  3.94695497] -5.164220107696896 ;\n",
+      "Epoch 620/1000, Cost: 1.8238\n",
+      " and the parameters are [-2.91216429  3.94700787] -5.164177202870109 ;\n",
+      "Epoch 620/1000, Cost: 4.0291\n",
+      " and the parameters are [-2.91216824  3.94694015] -5.16422008278311 ;\n",
+      "Epoch 620/1000, Cost: 2.8120\n",
+      " and the parameters are [-2.91219162  3.94693696] -5.164244684161214 ;\n",
+      "Epoch 620/1000, Cost: 4.9997\n",
+      " and the parameters are [-2.91219751  3.94698981] -5.16421171465626 ;\n",
+      "Epoch 620/1000, Cost: 4.2072\n",
+      " and the parameters are [-2.91212048  3.94712891] -5.164169665555049 ;\n",
+      "Epoch 620/1000, Cost: 3.9935\n",
+      " and the parameters are [-2.91211741  3.94705544] -5.164249191246254 ;\n",
+      "Epoch 620/1000, Cost: 6.1706\n",
+      " and the parameters are [-2.91215409  3.94689183] -5.164352550503932 ;\n",
+      "Epoch 620/1000, Cost: 5.1119\n",
+      " and the parameters are [-2.91205302  3.94709576] -5.164257033749392 ;\n",
+      "Epoch 620/1000, Cost: 3.4285\n",
+      " and the parameters are [-2.91207768  3.94710624] -5.164260887495377 ;\n",
+      "Epoch 620/1000, Cost: 4.4943\n",
+      " and the parameters are [-2.91208687  3.94702354] -5.164341319650141 ;\n",
+      "Epoch 620/1000, Cost: 2.7056\n",
+      " and the parameters are [-2.91212024  3.94700455] -5.164370018081309 ;\n",
+      "Epoch 620/1000, Cost: 3.3308\n",
+      " and the parameters are [-2.9120959   3.94706976] -5.164371743444201 ;\n",
+      "Epoch 620/1000, Cost: 1.7759\n",
+      " and the parameters are [-2.91208842  3.94707089] -5.164412980618995 ;\n",
+      "Epoch 620/1000, Cost: 2.2981\n",
+      " and the parameters are [-2.91206367  3.9471705 ] -5.164378567552219 ;\n",
+      "Epoch 620/1000, Cost: 4.1788\n",
+      " and the parameters are [-2.91204068  3.94713451] -5.1644430664456555 ;\n",
+      "Epoch 620/1000, Cost: 2.1943\n",
+      " and the parameters are [-2.91202171  3.94721485] -5.164423536578397 ;\n",
+      "Epoch 620/1000, Cost: 4.1221\n",
+      " and the parameters are [-2.91209607  3.94716923] -5.164429475148238 ;\n",
+      "Epoch 620/1000, Cost: 2.3346\n",
+      " and the parameters are [-2.91206377  3.94727045] -5.164390931158363 ;\n",
+      "Epoch 620/1000, Cost: 3.4557\n",
+      " and the parameters are [-2.91206288  3.94719482] -5.1644793748923465 ;\n",
+      "Epoch 620/1000, Cost: 6.6836\n",
+      " and the parameters are [-2.91202136  3.94735035] -5.16436600461081 ;\n",
+      "Epoch 620/1000, Cost: 2.5422\n",
+      " and the parameters are [-2.91209453  3.94731843] -5.164382453573825 ;\n",
+      "Epoch 620/1000, Cost: 2.6849\n",
+      " and the parameters are [-2.91208931  3.94734308] -5.164392491939953 ;\n",
+      "Epoch 620/1000, Cost: 3.0316\n",
+      " and the parameters are [-2.91210826  3.94731773] -5.164419454406197 ;\n",
+      "Epoch 620/1000, Cost: 4.6869\n",
+      " and the parameters are [-2.91207844  3.94745601] -5.164366276235331 ;\n",
+      "Epoch 620/1000, Cost: 4.0436\n",
+      " and the parameters are [-2.91215726  3.94740677] -5.164389141302876 ;\n",
+      "Epoch 620/1000, Cost: 1.8924\n",
+      " and the parameters are [-2.91218373  3.94737283] -5.164434734734498 ;\n",
+      "Epoch 620/1000, Cost: 3.4064\n",
+      " and the parameters are [-2.91220413  3.94732987] -5.164475817266867 ;\n",
+      "Epoch 620/1000, Cost: 3.5436\n",
+      " and the parameters are [-2.91221552  3.94732566] -5.164498578203421 ;\n",
+      "Epoch 620/1000, Cost: 2.1859\n",
+      " and the parameters are [-2.91225872  3.94737048] -5.164465731967792 ;\n",
+      "Epoch 620/1000, Cost: 0.8216\n",
+      " and the parameters are [-2.91225547  3.9474025 ] -5.164465283482829 ;\n",
+      "Epoch 620/1000, Cost: 2.5640\n",
+      " and the parameters are [-2.91219054  3.94743637] -5.164507016250349 ;\n",
+      "Epoch 620/1000, Cost: 6.4502\n",
+      " and the parameters are [-2.91224249  3.94734454] -5.164553314686512 ;\n",
+      "Epoch 630/1000, Cost: 8.9298\n",
+      " and the parameters are [-2.92370589  3.96179989] -5.185005053285342 ;\n",
+      "Epoch 630/1000, Cost: 2.9190\n",
+      " and the parameters are [-2.92376623  3.96178624] -5.1850150445675345 ;\n",
+      "Epoch 630/1000, Cost: 4.9144\n",
+      " and the parameters are [-2.92378069  3.96186686] -5.184949839002815 ;\n",
+      "Epoch 630/1000, Cost: 1.7408\n",
+      " and the parameters are [-2.92374981  3.96187275] -5.184985919046879 ;\n",
+      "Epoch 630/1000, Cost: 4.4211\n",
+      " and the parameters are [-2.92380412  3.96191291] -5.184943774971711 ;\n",
+      "Epoch 630/1000, Cost: 7.5822\n",
+      " and the parameters are [-2.92383856  3.96185838] -5.184942117173276 ;\n",
+      "Epoch 630/1000, Cost: 3.6060\n",
+      " and the parameters are [-2.92388774  3.96193791] -5.184876701001947 ;\n",
+      "Epoch 630/1000, Cost: 1.1778\n",
+      " and the parameters are [-2.92389829  3.96200192] -5.184852903271654 ;\n",
+      "Epoch 630/1000, Cost: 1.3632\n",
+      " and the parameters are [-2.92388491  3.96203019] -5.184869473679686 ;\n",
+      "Epoch 630/1000, Cost: 4.3588\n",
+      " and the parameters are [-2.92392459  3.9619674 ] -5.184916883457077 ;\n",
+      "Epoch 630/1000, Cost: 2.9013\n",
+      " and the parameters are [-2.92393711  3.96192937] -5.184968168736659 ;\n",
+      "Epoch 630/1000, Cost: 4.6229\n",
+      " and the parameters are [-2.92388973  3.96211338] -5.184864052540247 ;\n",
+      "Epoch 630/1000, Cost: 2.6411\n",
+      " and the parameters are [-2.92388451  3.96218522] -5.184849573163339 ;\n",
+      "Epoch 630/1000, Cost: 6.1820\n",
+      " and the parameters are [-2.92387153  3.96226416] -5.184811624894429 ;\n",
+      "Epoch 630/1000, Cost: 3.1793\n",
+      " and the parameters are [-2.9239232   3.96220257] -5.184851941227287 ;\n",
+      "Epoch 630/1000, Cost: 2.0933\n",
+      " and the parameters are [-2.92393398  3.96225353] -5.184832968274341 ;\n",
+      "Epoch 630/1000, Cost: 4.0485\n",
+      " and the parameters are [-2.92395714  3.96211229] -5.184951628490892 ;\n",
+      "Epoch 630/1000, Cost: 1.9695\n",
+      " and the parameters are [-2.92396904  3.96210444] -5.184978387962699 ;\n",
+      "Epoch 630/1000, Cost: 1.9805\n",
+      " and the parameters are [-2.9239338   3.96224202] -5.184918651773413 ;\n",
+      "Epoch 630/1000, Cost: 3.7351\n",
+      " and the parameters are [-2.92398614  3.96214083] -5.184989005929007 ;\n",
+      "Epoch 630/1000, Cost: 2.1176\n",
+      " and the parameters are [-2.92397444  3.96221262] -5.184973055843454 ;\n",
+      "Epoch 630/1000, Cost: 3.1820\n",
+      " and the parameters are [-2.92397074  3.96225364] -5.184982596781429 ;\n",
+      "Epoch 630/1000, Cost: 2.8050\n",
+      " and the parameters are [-2.92397104  3.96230215] -5.1849779945640915 ;\n",
+      "Epoch 630/1000, Cost: 3.8114\n",
+      " and the parameters are [-2.92396687  3.96239134] -5.184932321051063 ;\n",
+      "Epoch 630/1000, Cost: 6.9963\n",
+      " and the parameters are [-2.92399181  3.96235114] -5.184939591977199 ;\n",
+      "Epoch 630/1000, Cost: 3.5781\n",
+      " and the parameters are [-2.92397005  3.96237289] -5.184957067188859 ;\n",
+      "Epoch 630/1000, Cost: 2.5603\n",
+      " and the parameters are [-2.92398876  3.96237917] -5.184979654693166 ;\n",
+      "Epoch 630/1000, Cost: 3.3081\n",
+      " and the parameters are [-2.92396686  3.96233626] -5.185047918083932 ;\n",
+      "Epoch 630/1000, Cost: 3.9683\n",
+      " and the parameters are [-2.92398942  3.9623284 ] -5.18506586580148 ;\n",
+      "Epoch 630/1000, Cost: 2.8706\n",
+      " and the parameters are [-2.92401297  3.96230796] -5.185090480222968 ;\n",
+      "Epoch 630/1000, Cost: 2.6493\n",
+      " and the parameters are [-2.92401376  3.9622397 ] -5.185153363575348 ;\n",
+      "Epoch 630/1000, Cost: 4.2947\n",
+      " and the parameters are [-2.92397039  3.96218728] -5.185217529086848 ;\n",
+      "Epoch 630/1000, Cost: 3.1217\n",
+      " and the parameters are [-2.92402609  3.96210948] -5.185267765310694 ;\n",
+      "Epoch 630/1000, Cost: 2.6660\n",
+      " and the parameters are [-2.92398332  3.96217039] -5.185280112945689 ;\n",
+      "Epoch 630/1000, Cost: 3.6157\n",
+      " and the parameters are [-2.92387409  3.96239679] -5.185185596823881 ;\n",
+      "Epoch 630/1000, Cost: 3.0118\n",
+      " and the parameters are [-2.92383555  3.96250862] -5.185155011034393 ;\n",
+      "Epoch 630/1000, Cost: 1.9870\n",
+      " and the parameters are [-2.92380714  3.96250506] -5.185205693592033 ;\n",
+      "Epoch 630/1000, Cost: 2.2366\n",
+      " and the parameters are [-2.92380434  3.96246986] -5.185249741628608 ;\n",
+      "Epoch 630/1000, Cost: 2.9933\n",
+      " and the parameters are [-2.92384377  3.96242641] -5.1852894264676275 ;\n",
+      "Epoch 630/1000, Cost: 1.9349\n",
+      " and the parameters are [-2.92380473  3.96245773] -5.1853153693007625 ;\n",
+      "Epoch 630/1000, Cost: 1.0905\n",
+      " and the parameters are [-2.92380753  3.96252395] -5.185287021050214 ;\n",
+      "Epoch 630/1000, Cost: 3.8358\n",
+      " and the parameters are [-2.92388627  3.9623663 ] -5.185383845694978 ;\n",
+      "Epoch 630/1000, Cost: 2.3556\n",
+      " and the parameters are [-2.92390553  3.96238727] -5.185398745869665 ;\n",
+      "Epoch 630/1000, Cost: 3.6413\n",
+      " and the parameters are [-2.92396502  3.96234976] -5.18541487012701 ;\n",
+      "Epoch 630/1000, Cost: 2.4600\n",
+      " and the parameters are [-2.92393503  3.96242356] -5.185410587995101 ;\n",
+      "Epoch 630/1000, Cost: 2.1576\n",
+      " and the parameters are [-2.92394767  3.96237401] -5.185470532692527 ;\n",
+      "Epoch 630/1000, Cost: 3.4663\n",
+      " and the parameters are [-2.92386757  3.96249433] -5.185444339723425 ;\n",
+      "Epoch 630/1000, Cost: 4.3557\n",
+      " and the parameters are [-2.92380622  3.96253606] -5.18546304931722 ;\n",
+      "Epoch 630/1000, Cost: 4.4350\n",
+      " and the parameters are [-2.92381527  3.96249399] -5.185513110827838 ;\n",
+      "Epoch 630/1000, Cost: 1.7463\n",
+      " and the parameters are [-2.92382772  3.96247791] -5.185547695930411 ;\n",
+      "Epoch 630/1000, Cost: 1.6494\n",
+      " and the parameters are [-2.92381105  3.96257192] -5.185512385546112 ;\n",
+      "Epoch 630/1000, Cost: 6.5795\n",
+      " and the parameters are [-2.92378921  3.96254795] -5.185541900383509 ;\n",
+      "Epoch 630/1000, Cost: 2.3817\n",
+      " and the parameters are [-2.92375577  3.96264865] -5.185505257289055 ;\n",
+      "Epoch 630/1000, Cost: 2.8875\n",
+      " and the parameters are [-2.92373882  3.96273445] -5.1854890225142 ;\n",
+      "Epoch 630/1000, Cost: 2.6111\n",
+      " and the parameters are [-2.9237772  3.9626404] -5.185566251977938 ;\n",
+      "Epoch 630/1000, Cost: 4.8607\n",
+      " and the parameters are [-2.92386356  3.96246041] -5.185660391232984 ;\n",
+      "Epoch 630/1000, Cost: 2.6768\n",
+      " and the parameters are [-2.92390231  3.96243767] -5.185688618344506 ;\n",
+      "Epoch 630/1000, Cost: 2.9156\n",
+      " and the parameters are [-2.92392607  3.96241939] -5.185720501204795 ;\n",
+      "Epoch 630/1000, Cost: 3.0283\n",
+      " and the parameters are [-2.92393028  3.9624495 ] -5.185709306135324 ;\n",
+      "Epoch 630/1000, Cost: 2.3609\n",
+      " and the parameters are [-2.92387353  3.96244398] -5.185775001616451 ;\n",
+      "Epoch 630/1000, Cost: 1.8394\n",
+      " and the parameters are [-2.92387251  3.96241157] -5.185832165213929 ;\n",
+      "Epoch 630/1000, Cost: 1.8866\n",
+      " and the parameters are [-2.92387697  3.96246398] -5.185813300103906 ;\n",
+      "Epoch 630/1000, Cost: 3.2159\n",
+      " and the parameters are [-2.92391992  3.96249881] -5.185796997118697 ;\n",
+      "Epoch 630/1000, Cost: 3.8898\n",
+      " and the parameters are [-2.92398724  3.96252611] -5.185757291582127 ;\n",
+      "Epoch 630/1000, Cost: 1.2268\n",
+      " and the parameters are [-2.92398458  3.96260187] -5.185731682812485 ;\n",
+      "Epoch 630/1000, Cost: 1.0279\n",
+      " and the parameters are [-2.92396258  3.96263249] -5.185744524555188 ;\n",
+      "Epoch 630/1000, Cost: 2.4809\n",
+      " and the parameters are [-2.92398066  3.96266079] -5.185738742421594 ;\n",
+      "Epoch 630/1000, Cost: 2.6552\n",
+      " and the parameters are [-2.92393942  3.9626649 ] -5.185779566791471 ;\n",
+      "Epoch 630/1000, Cost: 2.1903\n",
+      " and the parameters are [-2.9239358   3.96260532] -5.1858549193526216 ;\n",
+      "Epoch 630/1000, Cost: 4.2313\n",
+      " and the parameters are [-2.92397799  3.96262704] -5.185828368367869 ;\n",
+      "Epoch 630/1000, Cost: 2.8522\n",
+      " and the parameters are [-2.9239971   3.96271715] -5.185776454270686 ;\n",
+      "Epoch 630/1000, Cost: 1.1809\n",
+      " and the parameters are [-2.92400987  3.96271187] -5.185796852405832 ;\n",
+      "Epoch 630/1000, Cost: 3.1554\n",
+      " and the parameters are [-2.92405305  3.96260993] -5.1858816401986205 ;\n",
+      "Epoch 630/1000, Cost: 5.5318\n",
+      " and the parameters are [-2.92405184  3.96259606] -5.185893173157357 ;\n",
+      "Epoch 630/1000, Cost: 5.8225\n",
+      " and the parameters are [-2.92411373  3.96255164] -5.1858883767428 ;\n",
+      "Epoch 630/1000, Cost: 2.4980\n",
+      " and the parameters are [-2.9240973   3.96249708] -5.185961329797667 ;\n",
+      "Epoch 630/1000, Cost: 4.7428\n",
+      " and the parameters are [-2.92424491  3.96236514] -5.186001859601691 ;\n",
+      "Epoch 630/1000, Cost: 1.9055\n",
+      " and the parameters are [-2.92427092  3.96235779] -5.186019017823229 ;\n",
+      "Epoch 630/1000, Cost: 4.3569\n",
+      " and the parameters are [-2.92431096  3.96224128] -5.186101755892253 ;\n",
+      "Epoch 630/1000, Cost: 3.2406\n",
+      " and the parameters are [-2.92435333  3.96223091] -5.186099758898172 ;\n",
+      "Epoch 630/1000, Cost: 2.2906\n",
+      " and the parameters are [-2.9242684   3.96229581] -5.186128799008807 ;\n",
+      "Epoch 630/1000, Cost: 3.5199\n",
+      " and the parameters are [-2.92419983  3.96230278] -5.186183453355108 ;\n",
+      "Epoch 630/1000, Cost: 3.5884\n",
+      " and the parameters are [-2.92416347  3.96222899] -5.186277418229288 ;\n",
+      "Epoch 630/1000, Cost: 2.8185\n",
+      " and the parameters are [-2.92416865  3.9623188 ] -5.18623027880123 ;\n",
+      "Epoch 630/1000, Cost: 1.4633\n",
+      " and the parameters are [-2.92416631  3.96230257] -5.18627513673498 ;\n",
+      "Epoch 630/1000, Cost: 2.7579\n",
+      " and the parameters are [-2.92421201  3.96238098] -5.186214711302987 ;\n",
+      "Epoch 630/1000, Cost: 1.8423\n",
+      " and the parameters are [-2.9242346   3.96237496] -5.186231218279233 ;\n",
+      "Epoch 630/1000, Cost: 4.2243\n",
+      " and the parameters are [-2.92418792  3.96247911] -5.186168877793731 ;\n",
+      "Epoch 630/1000, Cost: 2.8321\n",
+      " and the parameters are [-2.92425084  3.96239972] -5.186234476360424 ;\n",
+      "Epoch 630/1000, Cost: 5.9169\n",
+      " and the parameters are [-2.92422586  3.96247807] -5.1861986862932135 ;\n",
+      "Epoch 630/1000, Cost: 2.4542\n",
+      " and the parameters are [-2.92429413  3.96241619] -5.18624207897913 ;\n",
+      "Epoch 630/1000, Cost: 6.5453\n",
+      " and the parameters are [-2.92421571  3.96248322] -5.186228393634035 ;\n",
+      "Epoch 630/1000, Cost: 2.1464\n",
+      " and the parameters are [-2.92426505  3.96242074] -5.186272458120848 ;\n",
+      "Epoch 630/1000, Cost: 2.4661\n",
+      " and the parameters are [-2.92430747  3.96236555] -5.186329156260435 ;\n",
+      "Epoch 630/1000, Cost: 1.6284\n",
+      " and the parameters are [-2.92435741  3.9623746 ] -5.186327995086996 ;\n",
+      "Epoch 630/1000, Cost: 1.8265\n",
+      " and the parameters are [-2.92433124  3.96238402] -5.186362166967395 ;\n",
+      "Epoch 630/1000, Cost: 1.7309\n",
+      " and the parameters are [-2.9243238   3.96246119] -5.186335820165466 ;\n",
+      "Epoch 630/1000, Cost: 0.8730\n",
+      " and the parameters are [-2.92432616  3.96249414] -5.186331001131833 ;\n",
+      "Epoch 630/1000, Cost: 3.2902\n",
+      " and the parameters are [-2.92431867  3.96249697] -5.1863619534656715 ;\n",
+      "Epoch 630/1000, Cost: 2.8366\n",
+      " and the parameters are [-2.9243738   3.96250642] -5.1863524613044225 ;\n",
+      "Epoch 630/1000, Cost: 2.1117\n",
+      " and the parameters are [-2.92432632  3.96256687] -5.186366892026928 ;\n",
+      "Epoch 630/1000, Cost: 1.9510\n",
+      " and the parameters are [-2.924337    3.96253764] -5.18641747876513 ;\n",
+      "Epoch 630/1000, Cost: 1.9660\n",
+      " and the parameters are [-2.9243295   3.96255764] -5.1864367693244535 ;\n",
+      "Epoch 630/1000, Cost: 3.0916\n",
+      " and the parameters are [-2.92440382  3.96256579] -5.186416897456272 ;\n",
+      "Epoch 630/1000, Cost: 4.1627\n",
+      " and the parameters are [-2.92446971  3.9625753 ] -5.1863787343764 ;\n",
+      "Epoch 630/1000, Cost: 2.2798\n",
+      " and the parameters are [-2.92445362  3.96269801] -5.186315920746395 ;\n",
+      "Epoch 630/1000, Cost: 3.0853\n",
+      " and the parameters are [-2.92447252  3.96271949] -5.186321831235957 ;\n",
+      "Epoch 630/1000, Cost: 1.3960\n",
+      " and the parameters are [-2.92445812  3.96270093] -5.186372071704062 ;\n",
+      "Epoch 630/1000, Cost: 0.9090\n",
+      " and the parameters are [-2.92443605  3.96276842] -5.186354081068482 ;\n",
+      "Epoch 630/1000, Cost: 2.0372\n",
+      " and the parameters are [-2.92443298  3.96286727] -5.1863117761967485 ;\n",
+      "Epoch 630/1000, Cost: 1.4641\n",
+      " and the parameters are [-2.92442887  3.96296218] -5.186267975816844 ;\n",
+      "Epoch 630/1000, Cost: 3.5036\n",
+      " and the parameters are [-2.92454833  3.96278654] -5.186359284213255 ;\n",
+      "Epoch 630/1000, Cost: 3.9357\n",
+      " and the parameters are [-2.92457937  3.96270896] -5.1864259584335715 ;\n",
+      "Epoch 630/1000, Cost: 2.6271\n",
+      " and the parameters are [-2.92454386  3.96271639] -5.186472951782396 ;\n",
+      "Epoch 630/1000, Cost: 3.0005\n",
+      " and the parameters are [-2.92451199  3.96265245] -5.18656637467298 ;\n",
+      "Epoch 630/1000, Cost: 2.8445\n",
+      " and the parameters are [-2.92458228  3.96261402] -5.18657929495768 ;\n",
+      "Epoch 630/1000, Cost: 3.8256\n",
+      " and the parameters are [-2.92449219  3.96266501] -5.186615304264384 ;\n",
+      "Epoch 630/1000, Cost: 3.0465\n",
+      " and the parameters are [-2.92453551  3.96265928] -5.1866057367553875 ;\n",
+      "Epoch 630/1000, Cost: 2.2349\n",
+      " and the parameters are [-2.92449254  3.96264329] -5.18666431716391 ;\n",
+      "Epoch 630/1000, Cost: 4.0037\n",
+      " and the parameters are [-2.92456246  3.96266531] -5.186636489090338 ;\n",
+      "Epoch 630/1000, Cost: 2.0619\n",
+      " and the parameters are [-2.92453676  3.96264702] -5.186690744683614 ;\n",
+      "Epoch 630/1000, Cost: 6.7166\n",
+      " and the parameters are [-2.92458024  3.96255286] -5.1867325693289805 ;\n",
+      "Epoch 630/1000, Cost: 1.5163\n",
+      " and the parameters are [-2.92455077  3.96259059] -5.1867436222161185 ;\n",
+      "Epoch 630/1000, Cost: 2.1548\n",
+      " and the parameters are [-2.92454234  3.96266135] -5.186726214992211 ;\n",
+      "Epoch 630/1000, Cost: 3.7749\n",
+      " and the parameters are [-2.92447879  3.96277171] -5.186706303572358 ;\n",
+      "Epoch 630/1000, Cost: 5.0939\n",
+      " and the parameters are [-2.92443834  3.96279777] -5.186730741824388 ;\n",
+      "Epoch 630/1000, Cost: 5.3390\n",
+      " and the parameters are [-2.92452989  3.9626142 ] -5.186809981522034 ;\n",
+      "Epoch 630/1000, Cost: 1.9110\n",
+      " and the parameters are [-2.92450937  3.96269819] -5.186788913268843 ;\n",
+      "Epoch 630/1000, Cost: 1.2359\n",
+      " and the parameters are [-2.92453942  3.96270194] -5.186793259839425 ;\n",
+      "Epoch 630/1000, Cost: 2.2460\n",
+      " and the parameters are [-2.92455801  3.96263102] -5.1868550137128215 ;\n",
+      "Epoch 630/1000, Cost: 5.4832\n",
+      " and the parameters are [-2.92457842  3.96266628] -5.186823407007232 ;\n",
+      "Epoch 630/1000, Cost: 3.9744\n",
+      " and the parameters are [-2.92458477  3.96283264] -5.186732893183446 ;\n",
+      "Epoch 630/1000, Cost: 2.8536\n",
+      " and the parameters are [-2.92459561  3.96281195] -5.186763075058329 ;\n",
+      "Epoch 630/1000, Cost: 3.3712\n",
+      " and the parameters are [-2.92463355  3.96285892] -5.18672941566198 ;\n",
+      "Epoch 630/1000, Cost: 2.3662\n",
+      " and the parameters are [-2.92457392  3.9629606 ] -5.186710620684227 ;\n",
+      "Epoch 630/1000, Cost: 4.7630\n",
+      " and the parameters are [-2.92451508  3.96301378] -5.186720447346885 ;\n",
+      "Epoch 630/1000, Cost: 3.4598\n",
+      " and the parameters are [-2.92454711  3.96300364] -5.186739505190931 ;\n",
+      "Epoch 630/1000, Cost: 1.1405\n",
+      " and the parameters are [-2.92455473  3.96300344] -5.18676163875829 ;\n",
+      "Epoch 630/1000, Cost: 1.7481\n",
+      " and the parameters are [-2.9245514   3.96304915] -5.186750008892125 ;\n",
+      "Epoch 630/1000, Cost: 1.3127\n",
+      " and the parameters are [-2.92453184  3.96307004] -5.186774971660666 ;\n",
+      "Epoch 630/1000, Cost: 7.2241\n",
+      " and the parameters are [-2.92451098  3.96303395] -5.186797839805227 ;\n",
+      "Epoch 630/1000, Cost: 3.0348\n",
+      " and the parameters are [-2.92439344  3.9630581 ] -5.186856536677969 ;\n",
+      "Epoch 630/1000, Cost: 4.4393\n",
+      " and the parameters are [-2.92446832  3.96307997] -5.186824565171142 ;\n",
+      "Epoch 630/1000, Cost: 4.9219\n",
+      " and the parameters are [-2.92449595  3.96293466] -5.186922993880364 ;\n",
+      "Epoch 630/1000, Cost: 3.0923\n",
+      " and the parameters are [-2.92443269  3.96306949] -5.186879065335686 ;\n",
+      "Epoch 630/1000, Cost: 4.3836\n",
+      " and the parameters are [-2.92449509  3.96300031] -5.186912970495755 ;\n",
+      "Epoch 630/1000, Cost: 1.2028\n",
+      " and the parameters are [-2.92451367  3.96303507] -5.186900549871466 ;\n",
+      "Epoch 630/1000, Cost: 1.9772\n",
+      " and the parameters are [-2.92450461  3.96314901] -5.186843430713811 ;\n",
+      "Epoch 630/1000, Cost: 3.3031\n",
+      " and the parameters are [-2.92450808  3.96308345] -5.1869183592751105 ;\n",
+      "Epoch 630/1000, Cost: 1.4138\n",
+      " and the parameters are [-2.92451066  3.96306239] -5.18695886179725 ;\n",
+      "Epoch 630/1000, Cost: 0.6811\n",
+      " and the parameters are [-2.92451982  3.96306967] -5.186969349381089 ;\n",
+      "Epoch 630/1000, Cost: 2.3341\n",
+      " and the parameters are [-2.92451864  3.96304557] -5.187019153091742 ;\n",
+      "Epoch 630/1000, Cost: 0.8763\n",
+      " and the parameters are [-2.92453582  3.96308347] -5.187003070162377 ;\n",
+      "Epoch 630/1000, Cost: 1.5532\n",
+      " and the parameters are [-2.9245306   3.96317415] -5.186969412960152 ;\n",
+      "Epoch 630/1000, Cost: 2.5047\n",
+      " and the parameters are [-2.92451574  3.96322639] -5.186977648477435 ;\n",
+      "Epoch 630/1000, Cost: 1.0969\n",
+      " and the parameters are [-2.92453753  3.96320084] -5.187011168672906 ;\n",
+      "Epoch 630/1000, Cost: 1.8117\n",
+      " and the parameters are [-2.92454549  3.96324861] -5.186980803755555 ;\n",
+      "Epoch 630/1000, Cost: 3.9704\n",
+      " and the parameters are [-2.9246093   3.96311443] -5.1870689560333 ;\n",
+      "Epoch 630/1000, Cost: 3.1548\n",
+      " and the parameters are [-2.92462091  3.96321418] -5.187010395730123 ;\n",
+      "Epoch 630/1000, Cost: 3.1467\n",
+      " and the parameters are [-2.92463401  3.96329914] -5.186964004271747 ;\n",
+      "Epoch 630/1000, Cost: 2.1795\n",
+      " and the parameters are [-2.92467533  3.96322006] -5.187022427280214 ;\n",
+      "Epoch 630/1000, Cost: 1.4249\n",
+      " and the parameters are [-2.92465127  3.96326018] -5.187035145762837 ;\n",
+      "Epoch 630/1000, Cost: 1.1854\n",
+      " and the parameters are [-2.92462684  3.96326858] -5.187066125020537 ;\n",
+      "Epoch 630/1000, Cost: 2.8614\n",
+      " and the parameters are [-2.92463123  3.96326553] -5.187095676648295 ;\n",
+      "Epoch 630/1000, Cost: 3.4957\n",
+      " and the parameters are [-2.92461154  3.96328281] -5.187122259253485 ;\n",
+      "Epoch 630/1000, Cost: 1.8662\n",
+      " and the parameters are [-2.92460823  3.96337874] -5.187080317621794 ;\n",
+      "Epoch 630/1000, Cost: 0.7114\n",
+      " and the parameters are [-2.92458724  3.96342433] -5.1870729730630325 ;\n",
+      "Epoch 630/1000, Cost: 10.0836\n",
+      " and the parameters are [-2.92455326  3.96334506] -5.18709924472787 ;\n",
+      "Epoch 630/1000, Cost: 2.4914\n",
+      " and the parameters are [-2.92453645  3.9634365 ] -5.187071718038087 ;\n",
+      "Epoch 630/1000, Cost: 5.6406\n",
+      " and the parameters are [-2.92455201  3.96338487] -5.187115363649861 ;\n",
+      "Epoch 630/1000, Cost: 3.7002\n",
+      " and the parameters are [-2.92453653  3.96351062] -5.187036529598345 ;\n",
+      "Epoch 630/1000, Cost: 1.9655\n",
+      " and the parameters are [-2.92453572  3.96345926] -5.187092315766725 ;\n",
+      "Epoch 630/1000, Cost: 6.9598\n",
+      " and the parameters are [-2.92456945  3.96345831] -5.187077136081343 ;\n",
+      "Epoch 630/1000, Cost: 6.4966\n",
+      " and the parameters are [-2.92454748  3.96348106] -5.187061702636531 ;\n",
+      "Epoch 630/1000, Cost: 1.0480\n",
+      " and the parameters are [-2.9245673   3.96344927] -5.187092078433252 ;\n",
+      "Epoch 630/1000, Cost: 2.6158\n",
+      " and the parameters are [-2.92459343  3.96339403] -5.18715219298547 ;\n",
+      "Epoch 630/1000, Cost: 4.9519\n",
+      " and the parameters are [-2.92479168  3.96327841] -5.18713375946779 ;\n",
+      "Epoch 630/1000, Cost: 7.0318\n",
+      " and the parameters are [-2.92481204  3.96319328] -5.187161482649587 ;\n",
+      "Epoch 630/1000, Cost: 5.0776\n",
+      " and the parameters are [-2.92467343  3.96318446] -5.187240504018018 ;\n",
+      "Epoch 630/1000, Cost: 2.2256\n",
+      " and the parameters are [-2.92473817  3.96319788] -5.187214536517759 ;\n",
+      "Epoch 630/1000, Cost: 6.6936\n",
+      " and the parameters are [-2.92485912  3.96296478] -5.187317870635702 ;\n",
+      "Epoch 630/1000, Cost: 3.5977\n",
+      " and the parameters are [-2.92488325  3.96293928] -5.187358008265042 ;\n",
+      "Epoch 630/1000, Cost: 6.0016\n",
+      " and the parameters are [-2.92489911  3.96291694] -5.187367166572349 ;\n",
+      "Epoch 630/1000, Cost: 2.0075\n",
+      " and the parameters are [-2.9249158   3.96300266] -5.187317936240016 ;\n",
+      "Epoch 630/1000, Cost: 3.1507\n",
+      " and the parameters are [-2.92488128  3.96310043] -5.1872966592220715 ;\n",
+      "Epoch 630/1000, Cost: 1.7885\n",
+      " and the parameters are [-2.92491664  3.96308736] -5.187309860378287 ;\n",
+      "Epoch 630/1000, Cost: 4.0089\n",
+      " and the parameters are [-2.92497442  3.96297463] -5.187377250397849 ;\n",
+      "Epoch 630/1000, Cost: 1.7232\n",
+      " and the parameters are [-2.92493156  3.96299486] -5.187418229067646 ;\n",
+      "Epoch 630/1000, Cost: 5.9758\n",
+      " and the parameters are [-2.92486103  3.96313819] -5.187351701593006 ;\n",
+      "Epoch 630/1000, Cost: 3.2482\n",
+      " and the parameters are [-2.92491065  3.96305811] -5.187406835048679 ;\n",
+      "Epoch 630/1000, Cost: 4.4629\n",
+      " and the parameters are [-2.92486048  3.96301603] -5.187474751787852 ;\n",
+      "Epoch 630/1000, Cost: 4.5563\n",
+      " and the parameters are [-2.92489038  3.96300505] -5.187472781817943 ;\n",
+      "Epoch 630/1000, Cost: 1.4418\n",
+      " and the parameters are [-2.92490656  3.96300689] -5.187484059036967 ;\n",
+      "Epoch 630/1000, Cost: 3.5803\n",
+      " and the parameters are [-2.92493073  3.96302232] -5.187488696160686 ;\n",
+      "Epoch 630/1000, Cost: 2.8933\n",
+      " and the parameters are [-2.92491481  3.96319654] -5.187390346609986 ;\n",
+      "Epoch 630/1000, Cost: 2.9844\n",
+      " and the parameters are [-2.92493635  3.96325655] -5.18736111876174 ;\n",
+      "Epoch 630/1000, Cost: 7.6609\n",
+      " and the parameters are [-2.92490034  3.9632153 ] -5.187377473338448 ;\n",
+      "Epoch 630/1000, Cost: 2.0314\n",
+      " and the parameters are [-2.9249367   3.96318551] -5.187407747940369 ;\n",
+      "Epoch 630/1000, Cost: 2.6291\n",
+      " and the parameters are [-2.92497112  3.96322721] -5.18738391419309 ;\n",
+      "Epoch 630/1000, Cost: 3.2982\n",
+      " and the parameters are [-2.92502111  3.96333006] -5.187302394677461 ;\n",
+      "Epoch 640/1000, Cost: 7.8151\n",
+      " and the parameters are [-2.93642267  3.97744815] -5.207475131218999 ;\n",
+      "Epoch 640/1000, Cost: 4.3290\n",
+      " and the parameters are [-2.93638899  3.97748183] -5.207488988595633 ;\n",
+      "Epoch 640/1000, Cost: 2.9702\n",
+      " and the parameters are [-2.93646437  3.97740629] -5.207532743547741 ;\n",
+      "Epoch 640/1000, Cost: 2.1761\n",
+      " and the parameters are [-2.9364374   3.97748609] -5.207520385509447 ;\n",
+      "Epoch 640/1000, Cost: 3.2435\n",
+      " and the parameters are [-2.93641195  3.97748636] -5.207555130252363 ;\n",
+      "Epoch 640/1000, Cost: 0.8934\n",
+      " and the parameters are [-2.93641957  3.97749042] -5.207572861513419 ;\n",
+      "Epoch 640/1000, Cost: 1.7744\n",
+      " and the parameters are [-2.93638151  3.97756477] -5.20755885106008 ;\n",
+      "Epoch 640/1000, Cost: 1.5574\n",
+      " and the parameters are [-2.93637648  3.97760957] -5.207542381201523 ;\n",
+      "Epoch 640/1000, Cost: 1.3597\n",
+      " and the parameters are [-2.93637552  3.9775804 ] -5.207585782581907 ;\n",
+      "Epoch 640/1000, Cost: 2.3342\n",
+      " and the parameters are [-2.93638167  3.97757487] -5.207613721330611 ;\n",
+      "Epoch 640/1000, Cost: 3.8728\n",
+      " and the parameters are [-2.93635453  3.97758466] -5.207634790323314 ;\n",
+      "Epoch 640/1000, Cost: 2.4242\n",
+      " and the parameters are [-2.9363965   3.97763658] -5.2075960834674415 ;\n",
+      "Epoch 640/1000, Cost: 1.0429\n",
+      " and the parameters are [-2.93641624  3.97763434] -5.207613450256574 ;\n",
+      "Epoch 640/1000, Cost: 1.6048\n",
+      " and the parameters are [-2.93646462  3.97762909] -5.207619450402537 ;\n",
+      "Epoch 640/1000, Cost: 1.7131\n",
+      " and the parameters are [-2.93646897  3.97763663] -5.207639110114042 ;\n",
+      "Epoch 640/1000, Cost: 3.1878\n",
+      " and the parameters are [-2.93655866  3.97755943] -5.207680722818696 ;\n",
+      "Epoch 640/1000, Cost: 3.6642\n",
+      " and the parameters are [-2.93653264  3.97751734] -5.207748396729251 ;\n",
+      "Epoch 640/1000, Cost: 2.5502\n",
+      " and the parameters are [-2.93656723  3.97744616] -5.207806950296625 ;\n",
+      "Epoch 640/1000, Cost: 4.3949\n",
+      " and the parameters are [-2.93655323  3.97744227] -5.207840846919129 ;\n",
+      "Epoch 640/1000, Cost: 2.0808\n",
+      " and the parameters are [-2.93652475  3.97755661] -5.2077878325324045 ;\n",
+      "Epoch 640/1000, Cost: 1.9095\n",
+      " and the parameters are [-2.93656082  3.97752267] -5.2078120895604805 ;\n",
+      "Epoch 640/1000, Cost: 7.2811\n",
+      " and the parameters are [-2.9365977   3.97744729] -5.207829395006129 ;\n",
+      "Epoch 640/1000, Cost: 0.8398\n",
+      " and the parameters are [-2.93659438  3.97746933] -5.207838574169883 ;\n",
+      "Epoch 640/1000, Cost: 2.5499\n",
+      " and the parameters are [-2.93668006  3.97744383] -5.207840211326954 ;\n",
+      "Epoch 640/1000, Cost: 3.7325\n",
+      " and the parameters are [-2.93660626  3.97752174] -5.207840950469571 ;\n",
+      "Epoch 640/1000, Cost: 3.8271\n",
+      " and the parameters are [-2.93666028  3.97756107] -5.207810128692283 ;\n",
+      "Epoch 640/1000, Cost: 2.5861\n",
+      " and the parameters are [-2.93663481  3.97766968] -5.207782908116021 ;\n",
+      "Epoch 640/1000, Cost: 3.8095\n",
+      " and the parameters are [-2.93650144  3.97773281] -5.207832029512124 ;\n",
+      "Epoch 640/1000, Cost: 3.5227\n",
+      " and the parameters are [-2.93653146  3.97762548] -5.207918195862048 ;\n",
+      "Epoch 640/1000, Cost: 2.6996\n",
+      " and the parameters are [-2.93648086  3.97774742] -5.207887350042947 ;\n",
+      "Epoch 640/1000, Cost: 2.6582\n",
+      " and the parameters are [-2.93650532  3.9778037 ] -5.2078450459533885 ;\n",
+      "Epoch 640/1000, Cost: 5.4598\n",
+      " and the parameters are [-2.93657021  3.97764126] -5.2079406015183265 ;\n",
+      "Epoch 640/1000, Cost: 2.6418\n",
+      " and the parameters are [-2.93653314  3.97765771] -5.207974529589857 ;\n",
+      "Epoch 640/1000, Cost: 1.3426\n",
+      " and the parameters are [-2.93655495  3.97769779] -5.2079566487845845 ;\n",
+      "Epoch 640/1000, Cost: 0.7796\n",
+      " and the parameters are [-2.93655661  3.97773166] -5.20795191640378 ;\n",
+      "Epoch 640/1000, Cost: 4.2278\n",
+      " and the parameters are [-2.93659991  3.97779105] -5.207899310884586 ;\n",
+      "Epoch 640/1000, Cost: 3.7013\n",
+      " and the parameters are [-2.93658439  3.97788267] -5.207853353727639 ;\n",
+      "Epoch 640/1000, Cost: 1.3385\n",
+      " and the parameters are [-2.93656754  3.97791069] -5.207872617606182 ;\n",
+      "Epoch 640/1000, Cost: 2.2029\n",
+      " and the parameters are [-2.93661912  3.97787954] -5.207893902297007 ;\n",
+      "Epoch 640/1000, Cost: 1.3241\n",
+      " and the parameters are [-2.93665161  3.97783934] -5.207932958699569 ;\n",
+      "Epoch 640/1000, Cost: 0.9787\n",
+      " and the parameters are [-2.93665008  3.97787929] -5.207930688874343 ;\n",
+      "Epoch 640/1000, Cost: 1.6067\n",
+      " and the parameters are [-2.93665122  3.97789848] -5.207945814529571 ;\n",
+      "Epoch 640/1000, Cost: 4.5810\n",
+      " and the parameters are [-2.93662288  3.97791134] -5.207979165932554 ;\n",
+      "Epoch 640/1000, Cost: 6.7613\n",
+      " and the parameters are [-2.93667085  3.97777595] -5.208056215148886 ;\n",
+      "Epoch 640/1000, Cost: 3.0204\n",
+      " and the parameters are [-2.93664068  3.97783205] -5.208050154045151 ;\n",
+      "Epoch 640/1000, Cost: 3.8393\n",
+      " and the parameters are [-2.93662595  3.97778048] -5.208119869344477 ;\n",
+      "Epoch 640/1000, Cost: 1.8581\n",
+      " and the parameters are [-2.93668547  3.97772328] -5.2081558835822985 ;\n",
+      "Epoch 640/1000, Cost: 3.4247\n",
+      " and the parameters are [-2.93669937  3.97782064] -5.208108751950196 ;\n",
+      "Epoch 640/1000, Cost: 6.0431\n",
+      " and the parameters are [-2.93668704  3.97765676] -5.2082268906790965 ;\n",
+      "Epoch 640/1000, Cost: 2.1612\n",
+      " and the parameters are [-2.93668074  3.97772495] -5.208219884652813 ;\n",
+      "Epoch 640/1000, Cost: 2.7190\n",
+      " and the parameters are [-2.93669179  3.97769215] -5.208271012485206 ;\n",
+      "Epoch 640/1000, Cost: 2.9328\n",
+      " and the parameters are [-2.93670195  3.97764457] -5.208338575916541 ;\n",
+      "Epoch 640/1000, Cost: 3.9617\n",
+      " and the parameters are [-2.93669193  3.97755816] -5.20840627698813 ;\n",
+      "Epoch 640/1000, Cost: 1.4943\n",
+      " and the parameters are [-2.9367072   3.97756604] -5.20841715385837 ;\n",
+      "Epoch 640/1000, Cost: 7.1726\n",
+      " and the parameters are [-2.93671755  3.97742739] -5.208502814384009 ;\n",
+      "Epoch 640/1000, Cost: 1.3132\n",
+      " and the parameters are [-2.93672883  3.97750479] -5.208467192896275 ;\n",
+      "Epoch 640/1000, Cost: 3.5047\n",
+      " and the parameters are [-2.93674352  3.97759823] -5.208400623437541 ;\n",
+      "Epoch 640/1000, Cost: 8.3917\n",
+      " and the parameters are [-2.9366164   3.97770421] -5.208363097973681 ;\n",
+      "Epoch 640/1000, Cost: 3.0919\n",
+      " and the parameters are [-2.93665889  3.97764783] -5.208410886317975 ;\n",
+      "Epoch 640/1000, Cost: 3.2815\n",
+      " and the parameters are [-2.93664754  3.97778986] -5.208327640206147 ;\n",
+      "Epoch 640/1000, Cost: 3.7079\n",
+      " and the parameters are [-2.93662371  3.97791314] -5.208271042915583 ;\n",
+      "Epoch 640/1000, Cost: 1.2123\n",
+      " and the parameters are [-2.93660967  3.97794141] -5.2082857718181845 ;\n",
+      "Epoch 640/1000, Cost: 2.5825\n",
+      " and the parameters are [-2.93661285  3.97804495] -5.208240770736972 ;\n",
+      "Epoch 640/1000, Cost: 4.9255\n",
+      " and the parameters are [-2.93675978  3.97800644] -5.208196697507242 ;\n",
+      "Epoch 640/1000, Cost: 2.3694\n",
+      " and the parameters are [-2.93679755  3.97802372] -5.2081903057242505 ;\n",
+      "Epoch 640/1000, Cost: 3.6568\n",
+      " and the parameters are [-2.93678676  3.97803707] -5.20821174092588 ;\n",
+      "Epoch 640/1000, Cost: 3.4846\n",
+      " and the parameters are [-2.93674155  3.97799914] -5.208281664666476 ;\n",
+      "Epoch 640/1000, Cost: 1.6791\n",
+      " and the parameters are [-2.93679957  3.97804572] -5.208229197787971 ;\n",
+      "Epoch 640/1000, Cost: 1.0682\n",
+      " and the parameters are [-2.93679357  3.97805021] -5.208253545659849 ;\n",
+      "Epoch 640/1000, Cost: 3.5493\n",
+      " and the parameters are [-2.93673071  3.97807771] -5.208303173581613 ;\n",
+      "Epoch 640/1000, Cost: 4.4018\n",
+      " and the parameters are [-2.93680957  3.97797818] -5.20834590639442 ;\n",
+      "Epoch 640/1000, Cost: 2.2666\n",
+      " and the parameters are [-2.9368068   3.97793964] -5.208398130662537 ;\n",
+      "Epoch 640/1000, Cost: 1.9036\n",
+      " and the parameters are [-2.93677273  3.97795789] -5.208434951194009 ;\n",
+      "Epoch 640/1000, Cost: 2.7384\n",
+      " and the parameters are [-2.93683229  3.97789209] -5.208481720354197 ;\n",
+      "Epoch 640/1000, Cost: 3.4347\n",
+      " and the parameters are [-2.9368488   3.97801639] -5.208383263317197 ;\n",
+      "Epoch 640/1000, Cost: 3.5927\n",
+      " and the parameters are [-2.9368864   3.97800838] -5.208377484184252 ;\n",
+      "Epoch 640/1000, Cost: 2.3702\n",
+      " and the parameters are [-2.93690375  3.97792598] -5.208439123166512 ;\n",
+      "Epoch 640/1000, Cost: 3.3489\n",
+      " and the parameters are [-2.93689516  3.97806785] -5.208369990725742 ;\n",
+      "Epoch 640/1000, Cost: 3.4566\n",
+      " and the parameters are [-2.93688683  3.97809904] -5.208372821853905 ;\n",
+      "Epoch 640/1000, Cost: 1.4747\n",
+      " and the parameters are [-2.93688848  3.9781637 ] -5.208350496621453 ;\n",
+      "Epoch 640/1000, Cost: 3.8195\n",
+      " and the parameters are [-2.9368254   3.97816839] -5.2084116023769145 ;\n",
+      "Epoch 640/1000, Cost: 2.3973\n",
+      " and the parameters are [-2.93679809  3.97812675] -5.20847171335122 ;\n",
+      "Epoch 640/1000, Cost: 2.1798\n",
+      " and the parameters are [-2.93682319  3.9781736 ] -5.20845965235457 ;\n",
+      "Epoch 640/1000, Cost: 2.3031\n",
+      " and the parameters are [-2.93682577  3.9781437 ] -5.208504710318201 ;\n",
+      "Epoch 640/1000, Cost: 1.5631\n",
+      " and the parameters are [-2.93681655  3.97821681] -5.208476240837157 ;\n",
+      "Epoch 640/1000, Cost: 3.4419\n",
+      " and the parameters are [-2.93683186  3.97819849] -5.208519336626124 ;\n",
+      "Epoch 640/1000, Cost: 5.2705\n",
+      " and the parameters are [-2.93690523  3.97806354] -5.208590605483743 ;\n",
+      "Epoch 640/1000, Cost: 3.3665\n",
+      " and the parameters are [-2.93686647  3.97817336] -5.208539657413816 ;\n",
+      "Epoch 640/1000, Cost: 7.6831\n",
+      " and the parameters are [-2.93680115  3.97821624] -5.20854405840089 ;\n",
+      "Epoch 640/1000, Cost: 4.5369\n",
+      " and the parameters are [-2.93673223  3.9782632 ] -5.208540648190425 ;\n",
+      "Epoch 640/1000, Cost: 3.4623\n",
+      " and the parameters are [-2.93678925  3.97817081] -5.2086132543913415 ;\n",
+      "Epoch 640/1000, Cost: 1.8194\n",
+      " and the parameters are [-2.9367955   3.97816864] -5.20863107176418 ;\n",
+      "Epoch 640/1000, Cost: 6.2520\n",
+      " and the parameters are [-2.93673682  3.97820415] -5.208633709784346 ;\n",
+      "Epoch 640/1000, Cost: 2.0196\n",
+      " and the parameters are [-2.9367633   3.97816219] -5.208670093840419 ;\n",
+      "Epoch 640/1000, Cost: 2.5995\n",
+      " and the parameters are [-2.93683711  3.97813039] -5.208685729897193 ;\n",
+      "Epoch 640/1000, Cost: 1.0449\n",
+      " and the parameters are [-2.9368586   3.97814327] -5.208690891369546 ;\n",
+      "Epoch 640/1000, Cost: 4.2662\n",
+      " and the parameters are [-2.93684124  3.97816198] -5.20871301556259 ;\n",
+      "Epoch 640/1000, Cost: 3.1626\n",
+      " and the parameters are [-2.93680889  3.97815496] -5.208762286523223 ;\n",
+      "Epoch 640/1000, Cost: 1.1339\n",
+      " and the parameters are [-2.9367878   3.97819722] -5.208768126169444 ;\n",
+      "Epoch 640/1000, Cost: 2.3637\n",
+      " and the parameters are [-2.93676617  3.97826065] -5.208765312711524 ;\n",
+      "Epoch 640/1000, Cost: 3.6919\n",
+      " and the parameters are [-2.93678519  3.97825067] -5.208793026819176 ;\n",
+      "Epoch 640/1000, Cost: 2.5980\n",
+      " and the parameters are [-2.9367305   3.97834556] -5.208766479703734 ;\n",
+      "Epoch 640/1000, Cost: 2.9454\n",
+      " and the parameters are [-2.93672212  3.97836409] -5.208789627055736 ;\n",
+      "Epoch 640/1000, Cost: 5.9935\n",
+      " and the parameters are [-2.93671467  3.97832303] -5.20883314418394 ;\n",
+      "Epoch 640/1000, Cost: 1.3102\n",
+      " and the parameters are [-2.93672393  3.9782985 ] -5.20887213834765 ;\n",
+      "Epoch 640/1000, Cost: 5.7873\n",
+      " and the parameters are [-2.93664173  3.978286  ] -5.20893119810733 ;\n",
+      "Epoch 640/1000, Cost: 0.5408\n",
+      " and the parameters are [-2.93662326  3.97829784] -5.208947570354365 ;\n",
+      "Epoch 640/1000, Cost: 1.3924\n",
+      " and the parameters are [-2.93667765  3.97830906] -5.208935240449863 ;\n",
+      "Epoch 640/1000, Cost: 1.7220\n",
+      " and the parameters are [-2.9366856   3.97831697] -5.208957799304643 ;\n",
+      "Epoch 640/1000, Cost: 3.9089\n",
+      " and the parameters are [-2.93667573  3.97828426] -5.2090004658170805 ;\n",
+      "Epoch 640/1000, Cost: 3.3931\n",
+      " and the parameters are [-2.93670517  3.97833647] -5.2089596110184715 ;\n",
+      "Epoch 640/1000, Cost: 2.7958\n",
+      " and the parameters are [-2.93665816  3.97839815] -5.208969113001131 ;\n",
+      "Epoch 640/1000, Cost: 1.9122\n",
+      " and the parameters are [-2.93664439  3.97848296] -5.208934270243329 ;\n",
+      "Epoch 640/1000, Cost: 2.4441\n",
+      " and the parameters are [-2.93670828  3.97842277] -5.208968073606986 ;\n",
+      "Epoch 640/1000, Cost: 2.6356\n",
+      " and the parameters are [-2.93671634  3.97840815] -5.209005884191986 ;\n",
+      "Epoch 640/1000, Cost: 4.0491\n",
+      " and the parameters are [-2.93688567  3.97829466] -5.209000693109646 ;\n",
+      "Epoch 640/1000, Cost: 4.9516\n",
+      " and the parameters are [-2.93681158  3.97838059] -5.208989449531793 ;\n",
+      "Epoch 640/1000, Cost: 2.9127\n",
+      " and the parameters are [-2.93675114  3.97842674] -5.209014661852554 ;\n",
+      "Epoch 640/1000, Cost: 5.7877\n",
+      " and the parameters are [-2.93662818  3.9784561 ] -5.209058714697363 ;\n",
+      "Epoch 640/1000, Cost: 1.7889\n",
+      " and the parameters are [-2.93663995  3.97843043] -5.209099894460326 ;\n",
+      "Epoch 640/1000, Cost: 2.4779\n",
+      " and the parameters are [-2.93660548  3.97849371] -5.209082854353175 ;\n",
+      "Epoch 640/1000, Cost: 5.3099\n",
+      " and the parameters are [-2.93663125  3.97863273] -5.208970118969081 ;\n",
+      "Epoch 640/1000, Cost: 2.7734\n",
+      " and the parameters are [-2.93658891  3.97870094] -5.208974754981796 ;\n",
+      "Epoch 640/1000, Cost: 1.3862\n",
+      " and the parameters are [-2.93661493  3.97876449] -5.208938470635875 ;\n",
+      "Epoch 640/1000, Cost: 4.8684\n",
+      " and the parameters are [-2.93664919  3.97873695] -5.208949367011071 ;\n",
+      "Epoch 640/1000, Cost: 4.1274\n",
+      " and the parameters are [-2.9367127   3.97873961] -5.208931179532928 ;\n",
+      "Epoch 640/1000, Cost: 2.6153\n",
+      " and the parameters are [-2.93673481  3.97874521] -5.208948047802577 ;\n",
+      "Epoch 640/1000, Cost: 1.4452\n",
+      " and the parameters are [-2.93674424  3.9787991 ] -5.208930888701356 ;\n",
+      "Epoch 640/1000, Cost: 3.3225\n",
+      " and the parameters are [-2.93667858  3.97884935] -5.208960350114905 ;\n",
+      "Epoch 640/1000, Cost: 2.1647\n",
+      " and the parameters are [-2.93674353  3.97878331] -5.208997686648772 ;\n",
+      "Epoch 640/1000, Cost: 1.5856\n",
+      " and the parameters are [-2.93676402  3.97881486] -5.208988701377252 ;\n",
+      "Epoch 640/1000, Cost: 2.7481\n",
+      " and the parameters are [-2.93677515  3.97879398] -5.209021980104586 ;\n",
+      "Epoch 640/1000, Cost: 6.4501\n",
+      " and the parameters are [-2.93674848  3.97889366] -5.20897060357208 ;\n",
+      "Epoch 640/1000, Cost: 1.5049\n",
+      " and the parameters are [-2.93676265  3.97891233] -5.208979530984597 ;\n",
+      "Epoch 640/1000, Cost: 5.0575\n",
+      " and the parameters are [-2.93685583  3.97878733] -5.209049870089399 ;\n",
+      "Epoch 640/1000, Cost: 1.3771\n",
+      " and the parameters are [-2.93688005  3.97884678] -5.209015302371522 ;\n",
+      "Epoch 640/1000, Cost: 5.3634\n",
+      " and the parameters are [-2.93695441  3.97876372] -5.2090511312175085 ;\n",
+      "Epoch 640/1000, Cost: 1.2692\n",
+      " and the parameters are [-2.9369567   3.97881915] -5.209039377843437 ;\n",
+      "Epoch 640/1000, Cost: 2.0430\n",
+      " and the parameters are [-2.93699678  3.97885203] -5.2090111223156885 ;\n",
+      "Epoch 640/1000, Cost: 3.9685\n",
+      " and the parameters are [-2.93701492  3.9789029 ] -5.208963176165728 ;\n",
+      "Epoch 640/1000, Cost: 8.0198\n",
+      " and the parameters are [-2.93704045  3.97894724] -5.208893480305056 ;\n",
+      "Epoch 640/1000, Cost: 2.7864\n",
+      " and the parameters are [-2.93707067  3.97884426] -5.208963839348763 ;\n",
+      "Epoch 640/1000, Cost: 1.5927\n",
+      " and the parameters are [-2.93708839  3.97887129] -5.208967652186479 ;\n",
+      "Epoch 640/1000, Cost: 2.3523\n",
+      " and the parameters are [-2.9370955   3.97895291] -5.208917216991608 ;\n",
+      "Epoch 640/1000, Cost: 2.2171\n",
+      " and the parameters are [-2.93707563  3.97906914] -5.208864862245928 ;\n",
+      "Epoch 640/1000, Cost: 2.6054\n",
+      " and the parameters are [-2.93702272  3.97910844] -5.208889817803694 ;\n",
+      "Epoch 640/1000, Cost: 5.6423\n",
+      " and the parameters are [-2.93694766  3.9790312 ] -5.20899112216046 ;\n",
+      "Epoch 640/1000, Cost: 2.3330\n",
+      " and the parameters are [-2.9369952   3.97899794] -5.209010800621696 ;\n",
+      "Epoch 640/1000, Cost: 3.4465\n",
+      " and the parameters are [-2.93700084  3.9790142 ] -5.209014026360854 ;\n",
+      "Epoch 640/1000, Cost: 2.6384\n",
+      " and the parameters are [-2.93699703  3.9789884 ] -5.20905402153222 ;\n",
+      "Epoch 640/1000, Cost: 2.5953\n",
+      " and the parameters are [-2.93700258  3.97895484] -5.209097066583102 ;\n",
+      "Epoch 640/1000, Cost: 2.9996\n",
+      " and the parameters are [-2.93704801  3.97898909] -5.209065590142123 ;\n",
+      "Epoch 640/1000, Cost: 1.3185\n",
+      " and the parameters are [-2.9370666   3.97901689] -5.209061547953685 ;\n",
+      "Epoch 640/1000, Cost: 3.4521\n",
+      " and the parameters are [-2.93711981  3.97902082] -5.209052545811798 ;\n",
+      "Epoch 640/1000, Cost: 5.3966\n",
+      " and the parameters are [-2.93704817  3.97903653] -5.209100993552278 ;\n",
+      "Epoch 640/1000, Cost: 5.9536\n",
+      " and the parameters are [-2.93699407  3.97911333] -5.209067402348463 ;\n",
+      "Epoch 640/1000, Cost: 5.9686\n",
+      " and the parameters are [-2.93700918  3.9792565 ] -5.208958631577637 ;\n",
+      "Epoch 640/1000, Cost: 3.1145\n",
+      " and the parameters are [-2.93698045  3.97928075] -5.208974698641395 ;\n",
+      "Epoch 640/1000, Cost: 5.3450\n",
+      " and the parameters are [-2.93703932  3.97915258] -5.209070898181785 ;\n",
+      "Epoch 640/1000, Cost: 5.7126\n",
+      " and the parameters are [-2.93697816  3.9791045 ] -5.2091561270077085 ;\n",
+      "Epoch 640/1000, Cost: 2.5874\n",
+      " and the parameters are [-2.93694625  3.97906907] -5.209225590181582 ;\n",
+      "Epoch 640/1000, Cost: 2.3191\n",
+      " and the parameters are [-2.93695316  3.97910689] -5.20922116089979 ;\n",
+      "Epoch 640/1000, Cost: 2.6781\n",
+      " and the parameters are [-2.93699748  3.97902573] -5.209284990776338 ;\n",
+      "Epoch 640/1000, Cost: 1.6023\n",
+      " and the parameters are [-2.93698279  3.97906237] -5.209296864076525 ;\n",
+      "Epoch 640/1000, Cost: 3.9787\n",
+      " and the parameters are [-2.93700889  3.97892842] -5.209401753016167 ;\n",
+      "Epoch 640/1000, Cost: 6.7631\n",
+      " and the parameters are [-2.93707213  3.97889041] -5.209408900689054 ;\n",
+      "Epoch 640/1000, Cost: 2.6621\n",
+      " and the parameters are [-2.93709391  3.97887293] -5.209441266730247 ;\n",
+      "Epoch 640/1000, Cost: 2.2640\n",
+      " and the parameters are [-2.93709163  3.97887955] -5.209460209245737 ;\n",
+      "Epoch 640/1000, Cost: 1.4604\n",
+      " and the parameters are [-2.93711424  3.97891132] -5.209445393664468 ;\n",
+      "Epoch 640/1000, Cost: 3.9658\n",
+      " and the parameters are [-2.93708018  3.97895188] -5.209430797272479 ;\n",
+      "Epoch 640/1000, Cost: 2.6747\n",
+      " and the parameters are [-2.93705794  3.97899633] -5.209430382335321 ;\n",
+      "Epoch 640/1000, Cost: 4.9798\n",
+      " and the parameters are [-2.93718944  3.97876448] -5.2095456927262225 ;\n",
+      "Epoch 640/1000, Cost: 1.9437\n",
+      " and the parameters are [-2.93723352  3.97879424] -5.209525881459702 ;\n",
+      "Epoch 640/1000, Cost: 1.8841\n",
+      " and the parameters are [-2.9372792   3.97878653] -5.2095412950443 ;\n",
+      "Epoch 640/1000, Cost: 2.7102\n",
+      " and the parameters are [-2.93726815  3.97887345] -5.209500865688104 ;\n",
+      "Epoch 640/1000, Cost: 1.2898\n",
+      " and the parameters are [-2.93725088  3.9789117 ] -5.209506878421961 ;\n",
+      "Epoch 640/1000, Cost: 2.0501\n",
+      " and the parameters are [-2.93725301  3.97893742] -5.209510939652323 ;\n",
+      "Epoch 640/1000, Cost: 4.2896\n",
+      " and the parameters are [-2.93728193  3.97904914] -5.2094348272612265 ;\n",
+      "Epoch 640/1000, Cost: 1.4822\n",
+      " and the parameters are [-2.93728443  3.97911635] -5.209410300814735 ;\n",
+      "Epoch 640/1000, Cost: 2.2363\n",
+      " and the parameters are [-2.93737152  3.97903848] -5.20945491496387 ;\n",
+      "Epoch 640/1000, Cost: 3.1398\n",
+      " and the parameters are [-2.93736119  3.978989  ] -5.209506045874799 ;\n",
+      "Epoch 640/1000, Cost: 1.9769\n",
+      " and the parameters are [-2.93729996  3.97901856] -5.2095435958844805 ;\n",
+      "Epoch 640/1000, Cost: 1.7682\n",
+      " and the parameters are [-2.93732046  3.97903139] -5.209550682465241 ;\n",
+      "Epoch 640/1000, Cost: 3.9996\n",
+      " and the parameters are [-2.93736692  3.97910745] -5.209500232668648 ;\n",
+      "Epoch 640/1000, Cost: 0.9809\n",
+      " and the parameters are [-2.93739367  3.97908584] -5.209519909722751 ;\n",
+      "Epoch 640/1000, Cost: 3.9755\n",
+      " and the parameters are [-2.93738289  3.9790289 ] -5.209576423673578 ;\n",
+      "Epoch 640/1000, Cost: 4.6853\n",
+      " and the parameters are [-2.9373664   3.97896574] -5.2096466679954005 ;\n",
+      "Epoch 640/1000, Cost: 3.3859\n",
+      " and the parameters are [-2.93738799  3.97894081] -5.209681136703099 ;\n",
+      "Epoch 640/1000, Cost: 4.2343\n",
+      " and the parameters are [-2.9375059   3.97878898] -5.209741800769406 ;\n",
+      "Epoch 640/1000, Cost: 4.7743\n",
+      " and the parameters are [-2.93754368  3.97883707] -5.209710057023866 ;\n",
+      "Epoch 640/1000, Cost: 3.7810\n",
+      " and the parameters are [-2.93756372  3.97881383] -5.209740155759436 ;\n",
+      "Epoch 640/1000, Cost: 1.4386\n",
+      " and the parameters are [-2.93757028  3.9788447 ] -5.2097439513604815 ;\n",
+      "Epoch 640/1000, Cost: 4.6138\n",
+      " and the parameters are [-2.93756099  3.97885934] -5.20975693284208 ;\n",
+      "Epoch 640/1000, Cost: 7.0206\n",
+      " and the parameters are [-2.93752132  3.97897519] -5.209677277231135 ;\n",
+      "Epoch 640/1000, Cost: 2.5721\n",
+      " and the parameters are [-2.93756838  3.97895273] -5.20970463599718 ;\n",
+      "Epoch 640/1000, Cost: 4.7961\n",
+      " and the parameters are [-2.9376498   3.97880157] -5.209784569361106 ;\n",
+      "Epoch 640/1000, Cost: 3.2407\n",
+      " and the parameters are [-2.93765603  3.97884016] -5.209786118281607 ;\n",
+      "Epoch 640/1000, Cost: 6.5321\n",
+      " and the parameters are [-2.93763609  3.97889499] -5.2097644903968 ;\n",
+      "Epoch 640/1000, Cost: 3.2253\n",
+      " and the parameters are [-2.93761993  3.97897408] -5.209748015719344 ;\n",
+      "Epoch 640/1000, Cost: 1.2611\n",
+      " and the parameters are [-2.93762253  3.97902672] -5.2097319295502045 ;\n",
+      "Epoch 650/1000, Cost: 9.5932\n",
+      " and the parameters are [-2.94872993  3.99285225] -5.229719631557893 ;\n",
+      "Epoch 650/1000, Cost: 0.9832\n",
+      " and the parameters are [-2.94872145  3.99290565] -5.229706466293611 ;\n",
+      "Epoch 650/1000, Cost: 5.2942\n",
+      " and the parameters are [-2.94874046  3.992822  ] -5.229765299946665 ;\n",
+      "Epoch 650/1000, Cost: 5.5994\n",
+      " and the parameters are [-2.94883633  3.9925444 ] -5.229916116740739 ;\n",
+      "Epoch 650/1000, Cost: 5.8274\n",
+      " and the parameters are [-2.94875429  3.99253762] -5.229972019236161 ;\n",
+      "Epoch 650/1000, Cost: 1.2164\n",
+      " and the parameters are [-2.94871779  3.99259928] -5.229966722414419 ;\n",
+      "Epoch 650/1000, Cost: 3.3525\n",
+      " and the parameters are [-2.94876041  3.99265766] -5.229926877001022 ;\n",
+      "Epoch 650/1000, Cost: 1.3283\n",
+      " and the parameters are [-2.94874028  3.99270142] -5.22992973395694 ;\n",
+      "Epoch 650/1000, Cost: 1.5267\n",
+      " and the parameters are [-2.94874886  3.99273102] -5.229933668379349 ;\n",
+      "Epoch 650/1000, Cost: 1.2553\n",
+      " and the parameters are [-2.94878243  3.99270781] -5.229957518720872 ;\n",
+      "Epoch 650/1000, Cost: 0.8699\n",
+      " and the parameters are [-2.94878853  3.99271946] -5.229966696443739 ;\n",
+      "Epoch 650/1000, Cost: 5.6350\n",
+      " and the parameters are [-2.94871749  3.99278868] -5.229949021858379 ;\n",
+      "Epoch 650/1000, Cost: 3.3087\n",
+      " and the parameters are [-2.94865502  3.99280533] -5.230011821761402 ;\n",
+      "Epoch 650/1000, Cost: 1.6847\n",
+      " and the parameters are [-2.94868988  3.99279731] -5.230019990433977 ;\n",
+      "Epoch 650/1000, Cost: 1.4843\n",
+      " and the parameters are [-2.94871187  3.99282437] -5.23001785943338 ;\n",
+      "Epoch 650/1000, Cost: 1.7659\n",
+      " and the parameters are [-2.94873643  3.99281852] -5.230036933788396 ;\n",
+      "Epoch 650/1000, Cost: 3.0640\n",
+      " and the parameters are [-2.94871754  3.99282289] -5.230078301839923 ;\n",
+      "Epoch 650/1000, Cost: 7.0445\n",
+      " and the parameters are [-2.94878728  3.99270775] -5.2301338354783695 ;\n",
+      "Epoch 650/1000, Cost: 2.6944\n",
+      " and the parameters are [-2.94878659  3.99276144] -5.2301105962603325 ;\n",
+      "Epoch 650/1000, Cost: 4.5839\n",
+      " and the parameters are [-2.94879725  3.9926374 ] -5.230211809370308 ;\n",
+      "Epoch 650/1000, Cost: 1.1827\n",
+      " and the parameters are [-2.9487896  3.9926269] -5.230249824326217 ;\n",
+      "Epoch 650/1000, Cost: 1.0924\n",
+      " and the parameters are [-2.94878988  3.99269318] -5.230226982794172 ;\n",
+      "Epoch 650/1000, Cost: 1.9725\n",
+      " and the parameters are [-2.94877709  3.99271176] -5.230246711951321 ;\n",
+      "Epoch 650/1000, Cost: 3.8232\n",
+      " and the parameters are [-2.94879759  3.99280174] -5.230186615161031 ;\n",
+      "Epoch 650/1000, Cost: 7.9986\n",
+      " and the parameters are [-2.94886056  3.99274492] -5.2301538012947715 ;\n",
+      "Epoch 650/1000, Cost: 1.5294\n",
+      " and the parameters are [-2.94884162  3.99277692] -5.230170150432648 ;\n",
+      "Epoch 650/1000, Cost: 3.8313\n",
+      " and the parameters are [-2.94888793  3.99271755] -5.2302116777651975 ;\n",
+      "Epoch 650/1000, Cost: 4.3630\n",
+      " and the parameters are [-2.94886859  3.99272689] -5.2302311376481025 ;\n",
+      "Epoch 650/1000, Cost: 7.7114\n",
+      " and the parameters are [-2.94879269  3.99288772] -5.230147458717665 ;\n",
+      "Epoch 650/1000, Cost: 3.3557\n",
+      " and the parameters are [-2.94883284  3.99278207] -5.230221128572121 ;\n",
+      "Epoch 650/1000, Cost: 4.7439\n",
+      " and the parameters are [-2.94890041  3.99276658] -5.230224684706864 ;\n",
+      "Epoch 650/1000, Cost: 2.2753\n",
+      " and the parameters are [-2.94894989  3.99273333] -5.230254553120193 ;\n",
+      "Epoch 650/1000, Cost: 7.0052\n",
+      " and the parameters are [-2.94897747  3.99273836] -5.23021404490106 ;\n",
+      "Epoch 650/1000, Cost: 1.4866\n",
+      " and the parameters are [-2.94902129  3.99276881] -5.230195900851382 ;\n",
+      "Epoch 650/1000, Cost: 2.2959\n",
+      " and the parameters are [-2.94905523  3.99279156] -5.230189893514567 ;\n",
+      "Epoch 650/1000, Cost: 3.4056\n",
+      " and the parameters are [-2.94904504  3.99278614] -5.230239188721183 ;\n",
+      "Epoch 650/1000, Cost: 4.0892\n",
+      " and the parameters are [-2.94908226  3.99271463] -5.230286521428559 ;\n",
+      "Epoch 650/1000, Cost: 2.7922\n",
+      " and the parameters are [-2.94911699  3.99267595] -5.230331612008682 ;\n",
+      "Epoch 650/1000, Cost: 3.9665\n",
+      " and the parameters are [-2.94925826  3.9925818 ] -5.23033954461761 ;\n",
+      "Epoch 650/1000, Cost: 2.0622\n",
+      " and the parameters are [-2.94922975  3.99261158] -5.230363470679909 ;\n",
+      "Epoch 650/1000, Cost: 2.1447\n",
+      " and the parameters are [-2.94925397  3.99264071] -5.230361298234349 ;\n",
+      "Epoch 650/1000, Cost: 2.6035\n",
+      " and the parameters are [-2.94924767  3.99268555] -5.230364489108864 ;\n",
+      "Epoch 650/1000, Cost: 3.5549\n",
+      " and the parameters are [-2.94925046  3.99277459] -5.230327785963797 ;\n",
+      "Epoch 650/1000, Cost: 2.1427\n",
+      " and the parameters are [-2.94927805  3.99282581] -5.230304699607993 ;\n",
+      "Epoch 650/1000, Cost: 2.2449\n",
+      " and the parameters are [-2.94926302  3.99289512] -5.23029093710423 ;\n",
+      "Epoch 650/1000, Cost: 0.7950\n",
+      " and the parameters are [-2.949262    3.99293507] -5.230281898347578 ;\n",
+      "Epoch 650/1000, Cost: 3.8685\n",
+      " and the parameters are [-2.94931197  3.99291929] -5.230284373758107 ;\n",
+      "Epoch 650/1000, Cost: 2.3058\n",
+      " and the parameters are [-2.94931058  3.9928808 ] -5.230343872777455 ;\n",
+      "Epoch 650/1000, Cost: 1.4587\n",
+      " and the parameters are [-2.94932976  3.99296149] -5.230301599954521 ;\n",
+      "Epoch 650/1000, Cost: 2.3772\n",
+      " and the parameters are [-2.9493673   3.99291734] -5.230344518097392 ;\n",
+      "Epoch 650/1000, Cost: 5.0643\n",
+      " and the parameters are [-2.9493952   3.99278689] -5.2304374581839355 ;\n",
+      "Epoch 650/1000, Cost: 10.1805\n",
+      " and the parameters are [-2.94940016  3.99291669] -5.230297241274997 ;\n",
+      "Epoch 650/1000, Cost: 2.2808\n",
+      " and the parameters are [-2.94943522  3.99285169] -5.230343120467836 ;\n",
+      "Epoch 650/1000, Cost: 6.7307\n",
+      " and the parameters are [-2.94950286  3.99271377] -5.230403367408671 ;\n",
+      "Epoch 650/1000, Cost: 2.4955\n",
+      " and the parameters are [-2.94950282  3.99276255] -5.230392952183346 ;\n",
+      "Epoch 650/1000, Cost: 1.4746\n",
+      " and the parameters are [-2.9495165  3.9927784] -5.230405846285831 ;\n",
+      "Epoch 650/1000, Cost: 3.6028\n",
+      " and the parameters are [-2.94945744  3.99292249] -5.230367436515804 ;\n",
+      "Epoch 650/1000, Cost: 2.4985\n",
+      " and the parameters are [-2.94945882  3.99301217] -5.230331940282793 ;\n",
+      "Epoch 650/1000, Cost: 1.7088\n",
+      " and the parameters are [-2.94942107  3.99308584] -5.23033083977042 ;\n",
+      "Epoch 650/1000, Cost: 2.6470\n",
+      " and the parameters are [-2.94933724  3.99327056] -5.23026104211569 ;\n",
+      "Epoch 650/1000, Cost: 3.3640\n",
+      " and the parameters are [-2.94938271  3.99332041] -5.230217768426399 ;\n",
+      "Epoch 650/1000, Cost: 1.2378\n",
+      " and the parameters are [-2.9493641   3.99335876] -5.230225357276528 ;\n",
+      "Epoch 650/1000, Cost: 2.1659\n",
+      " and the parameters are [-2.94938315  3.9933427 ] -5.230254698706871 ;\n",
+      "Epoch 650/1000, Cost: 1.8441\n",
+      " and the parameters are [-2.94936834  3.99342669] -5.230217101095455 ;\n",
+      "Epoch 650/1000, Cost: 1.7741\n",
+      " and the parameters are [-2.9493816   3.99346001] -5.230209719849101 ;\n",
+      "Epoch 650/1000, Cost: 2.3603\n",
+      " and the parameters are [-2.94935507  3.9935355 ] -5.230187523718063 ;\n",
+      "Epoch 650/1000, Cost: 5.5861\n",
+      " and the parameters are [-2.94937058  3.99343473] -5.230267274860015 ;\n",
+      "Epoch 650/1000, Cost: 2.0672\n",
+      " and the parameters are [-2.94938557  3.99343732] -5.230282868865154 ;\n",
+      "Epoch 650/1000, Cost: 1.4769\n",
+      " and the parameters are [-2.94939717  3.99351275] -5.230243891026896 ;\n",
+      "Epoch 650/1000, Cost: 3.6142\n",
+      " and the parameters are [-2.94942959  3.99345935] -5.230291354738831 ;\n",
+      "Epoch 650/1000, Cost: 2.8833\n",
+      " and the parameters are [-2.94946923  3.99349216] -5.23024428976776 ;\n",
+      "Epoch 650/1000, Cost: 4.3201\n",
+      " and the parameters are [-2.94946369  3.99360216] -5.230166616907169 ;\n",
+      "Epoch 650/1000, Cost: 3.1288\n",
+      " and the parameters are [-2.94944811  3.99352033] -5.23026646371458 ;\n",
+      "Epoch 650/1000, Cost: 1.5582\n",
+      " and the parameters are [-2.94946031  3.99358454] -5.230238681110014 ;\n",
+      "Epoch 650/1000, Cost: 1.9524\n",
+      " and the parameters are [-2.94945439  3.99362529] -5.23023598371674 ;\n",
+      "Epoch 650/1000, Cost: 3.4483\n",
+      " and the parameters are [-2.94949168  3.99374007] -5.230156313461031 ;\n",
+      "Epoch 650/1000, Cost: 1.4338\n",
+      " and the parameters are [-2.9494847   3.99375816] -5.2301767361320515 ;\n",
+      "Epoch 650/1000, Cost: 3.8756\n",
+      " and the parameters are [-2.94952742  3.99380793] -5.230123514718715 ;\n",
+      "Epoch 650/1000, Cost: 0.9537\n",
+      " and the parameters are [-2.94952895  3.9937956 ] -5.2301552845452575 ;\n",
+      "Epoch 650/1000, Cost: 1.1352\n",
+      " and the parameters are [-2.94954411  3.99380577] -5.230166592076529 ;\n",
+      "Epoch 650/1000, Cost: 2.9770\n",
+      " and the parameters are [-2.94952127  3.9938271 ] -5.230171995773369 ;\n",
+      "Epoch 650/1000, Cost: 1.9554\n",
+      " and the parameters are [-2.94953883  3.9938059 ] -5.2302020721363185 ;\n",
+      "Epoch 650/1000, Cost: 4.6351\n",
+      " and the parameters are [-2.94948772  3.99372335] -5.230291235235867 ;\n",
+      "Epoch 650/1000, Cost: 2.9888\n",
+      " and the parameters are [-2.94948733  3.99381545] -5.230236033806214 ;\n",
+      "Epoch 650/1000, Cost: 1.1649\n",
+      " and the parameters are [-2.94947493  3.99383799] -5.2302548558550725 ;\n",
+      "Epoch 650/1000, Cost: 1.1814\n",
+      " and the parameters are [-2.9494981   3.99386285] -5.230245913594281 ;\n",
+      "Epoch 650/1000, Cost: 2.6603\n",
+      " and the parameters are [-2.94950583  3.99387314] -5.230262382392642 ;\n",
+      "Epoch 650/1000, Cost: 2.6411\n",
+      " and the parameters are [-2.94940677  3.99396324] -5.230276686006507 ;\n",
+      "Epoch 650/1000, Cost: 2.3718\n",
+      " and the parameters are [-2.94942022  3.99402405] -5.230249043027172 ;\n",
+      "Epoch 650/1000, Cost: 1.4113\n",
+      " and the parameters are [-2.94941796  3.99406235] -5.230253206866699 ;\n",
+      "Epoch 650/1000, Cost: 4.1214\n",
+      " and the parameters are [-2.94945064  3.99404989] -5.230264910207651 ;\n",
+      "Epoch 650/1000, Cost: 1.1749\n",
+      " and the parameters are [-2.94945335  3.99412283] -5.230233378121517 ;\n",
+      "Epoch 650/1000, Cost: 3.4295\n",
+      " and the parameters are [-2.94947807  3.99399402] -5.230339054719246 ;\n",
+      "Epoch 650/1000, Cost: 3.6215\n",
+      " and the parameters are [-2.94951903  3.99383698] -5.230448893226087 ;\n",
+      "Epoch 650/1000, Cost: 1.7291\n",
+      " and the parameters are [-2.94952361  3.99383477] -5.23048040674445 ;\n",
+      "Epoch 650/1000, Cost: 8.2709\n",
+      " and the parameters are [-2.94952557  3.99381802] -5.230465788953019 ;\n",
+      "Epoch 650/1000, Cost: 5.4220\n",
+      " and the parameters are [-2.94945628  3.99399004] -5.2303685515856 ;\n",
+      "Epoch 650/1000, Cost: 2.1767\n",
+      " and the parameters are [-2.94942194  3.99408034] -5.230349154763438 ;\n",
+      "Epoch 650/1000, Cost: 3.6290\n",
+      " and the parameters are [-2.94940677  3.9940389 ] -5.230408819689855 ;\n",
+      "Epoch 650/1000, Cost: 2.7342\n",
+      " and the parameters are [-2.94945553  3.9940324 ] -5.230419537831109 ;\n",
+      "Epoch 650/1000, Cost: 2.6016\n",
+      " and the parameters are [-2.94942058  3.99403698] -5.230472187720723 ;\n",
+      "Epoch 650/1000, Cost: 3.8708\n",
+      " and the parameters are [-2.94946182  3.99391032] -5.230565232303618 ;\n",
+      "Epoch 650/1000, Cost: 3.8651\n",
+      " and the parameters are [-2.94947795  3.99384156] -5.230620729856239 ;\n",
+      "Epoch 650/1000, Cost: 1.3193\n",
+      " and the parameters are [-2.94948097  3.99388832] -5.23060790897805 ;\n",
+      "Epoch 650/1000, Cost: 2.7484\n",
+      " and the parameters are [-2.9494759   3.99387695] -5.230646081602164 ;\n",
+      "Epoch 650/1000, Cost: 2.8020\n",
+      " and the parameters are [-2.94949389  3.99378995] -5.2307297276030225 ;\n",
+      "Epoch 650/1000, Cost: 1.2368\n",
+      " and the parameters are [-2.94944459  3.99386075] -5.230726543850518 ;\n",
+      "Epoch 650/1000, Cost: 1.4547\n",
+      " and the parameters are [-2.94944186  3.99390171] -5.230719585185099 ;\n",
+      "Epoch 650/1000, Cost: 2.5858\n",
+      " and the parameters are [-2.94939709  3.99398782] -5.230700843328675 ;\n",
+      "Epoch 650/1000, Cost: 2.9562\n",
+      " and the parameters are [-2.94944507  3.9939563 ] -5.230735402623534 ;\n",
+      "Epoch 650/1000, Cost: 1.6830\n",
+      " and the parameters are [-2.9494603   3.99404094] -5.230687208909414 ;\n",
+      "Epoch 650/1000, Cost: 3.5258\n",
+      " and the parameters are [-2.9495082   3.99400221] -5.230718694301549 ;\n",
+      "Epoch 650/1000, Cost: 2.0414\n",
+      " and the parameters are [-2.94949435  3.99406652] -5.230707055631894 ;\n",
+      "Epoch 650/1000, Cost: 5.2149\n",
+      " and the parameters are [-2.94949085  3.99398888] -5.230759425348999 ;\n",
+      "Epoch 650/1000, Cost: 2.6276\n",
+      " and the parameters are [-2.94948551  3.99400553] -5.2307845655156635 ;\n",
+      "Epoch 650/1000, Cost: 4.8186\n",
+      " and the parameters are [-2.94942089  3.99390788] -5.230899696267845 ;\n",
+      "Epoch 650/1000, Cost: 3.2300\n",
+      " and the parameters are [-2.94950099  3.99382536] -5.230944559978999 ;\n",
+      "Epoch 650/1000, Cost: 2.1041\n",
+      " and the parameters are [-2.94952323  3.99388631] -5.230918022357286 ;\n",
+      "Epoch 650/1000, Cost: 2.4401\n",
+      " and the parameters are [-2.94953684  3.99386583] -5.230954298929879 ;\n",
+      "Epoch 650/1000, Cost: 4.0326\n",
+      " and the parameters are [-2.94954646  3.99389277] -5.230958068931619 ;\n",
+      "Epoch 650/1000, Cost: 4.6623\n",
+      " and the parameters are [-2.94964309  3.99370307] -5.231064311029818 ;\n",
+      "Epoch 650/1000, Cost: 4.7304\n",
+      " and the parameters are [-2.94970149  3.99356547] -5.231155526897542 ;\n",
+      "Epoch 650/1000, Cost: 3.1715\n",
+      " and the parameters are [-2.94965776  3.99361815] -5.231147423943534 ;\n",
+      "Epoch 650/1000, Cost: 5.0968\n",
+      " and the parameters are [-2.94959768  3.99366766] -5.231172461745142 ;\n",
+      "Epoch 650/1000, Cost: 2.6235\n",
+      " and the parameters are [-2.94964596  3.99362971] -5.231198969783134 ;\n",
+      "Epoch 650/1000, Cost: 4.1034\n",
+      " and the parameters are [-2.94952369  3.99383017] -5.231139961600313 ;\n",
+      "Epoch 650/1000, Cost: 2.0578\n",
+      " and the parameters are [-2.94956066  3.9938942 ] -5.231096603618468 ;\n",
+      "Epoch 650/1000, Cost: 2.5038\n",
+      " and the parameters are [-2.94959906  3.99397923] -5.231050560524599 ;\n",
+      "Epoch 650/1000, Cost: 2.9732\n",
+      " and the parameters are [-2.94958628  3.99401289] -5.231059658058187 ;\n",
+      "Epoch 650/1000, Cost: 8.4645\n",
+      " and the parameters are [-2.94951558  3.99404999] -5.231061768270427 ;\n",
+      "Epoch 650/1000, Cost: 5.5092\n",
+      " and the parameters are [-2.9494367   3.99403523] -5.231134485563542 ;\n",
+      "Epoch 650/1000, Cost: 5.8469\n",
+      " and the parameters are [-2.94955981  3.99395461] -5.2311345851026765 ;\n",
+      "Epoch 650/1000, Cost: 3.1155\n",
+      " and the parameters are [-2.94948136  3.99411767] -5.231074808691089 ;\n",
+      "Epoch 650/1000, Cost: 7.1188\n",
+      " and the parameters are [-2.94950636  3.99416442] -5.231022222798021 ;\n",
+      "Epoch 650/1000, Cost: 4.9047\n",
+      " and the parameters are [-2.94942968  3.99426158] -5.230987701918324 ;\n",
+      "Epoch 650/1000, Cost: 2.6891\n",
+      " and the parameters are [-2.94948879  3.99422127] -5.231010743804066 ;\n",
+      "Epoch 650/1000, Cost: 1.3892\n",
+      " and the parameters are [-2.94948997  3.99424155] -5.231022474289559 ;\n",
+      "Epoch 650/1000, Cost: 6.6605\n",
+      " and the parameters are [-2.94965573  3.99404981] -5.231065908345252 ;\n",
+      "Epoch 650/1000, Cost: 2.5593\n",
+      " and the parameters are [-2.9496712   3.99412535] -5.231022753316923 ;\n",
+      "Epoch 650/1000, Cost: 1.9165\n",
+      " and the parameters are [-2.94966029  3.99410326] -5.231070815885058 ;\n",
+      "Epoch 650/1000, Cost: 2.8325\n",
+      " and the parameters are [-2.94959617  3.99423747] -5.231029968481452 ;\n",
+      "Epoch 650/1000, Cost: 3.1180\n",
+      " and the parameters are [-2.94965444  3.99420492] -5.2310485276468714 ;\n",
+      "Epoch 650/1000, Cost: 6.7839\n",
+      " and the parameters are [-2.94958829  3.99427781] -5.231029825751148 ;\n",
+      "Epoch 650/1000, Cost: 6.1622\n",
+      " and the parameters are [-2.94957393  3.99422137] -5.2310595469718875 ;\n",
+      "Epoch 650/1000, Cost: 4.1787\n",
+      " and the parameters are [-2.94957224  3.99419321] -5.231105473445115 ;\n",
+      "Epoch 650/1000, Cost: 3.3512\n",
+      " and the parameters are [-2.94962388  3.9940909 ] -5.231174083751034 ;\n",
+      "Epoch 650/1000, Cost: 4.2560\n",
+      " and the parameters are [-2.94968682  3.99413294] -5.231114312477516 ;\n",
+      "Epoch 650/1000, Cost: 1.7869\n",
+      " and the parameters are [-2.94964904  3.99420886] -5.231105810753888 ;\n",
+      "Epoch 650/1000, Cost: 1.9502\n",
+      " and the parameters are [-2.94967793  3.99425035] -5.231087698736695 ;\n",
+      "Epoch 650/1000, Cost: 2.9648\n",
+      " and the parameters are [-2.94969258  3.99427569] -5.231071537379187 ;\n",
+      "Epoch 650/1000, Cost: 1.8883\n",
+      " and the parameters are [-2.94964247  3.99432891] -5.2310870251972945 ;\n",
+      "Epoch 650/1000, Cost: 2.4417\n",
+      " and the parameters are [-2.94966828  3.99436627] -5.231076254288093 ;\n",
+      "Epoch 650/1000, Cost: 2.2337\n",
+      " and the parameters are [-2.94964654  3.99432829] -5.23115158326087 ;\n",
+      "Epoch 650/1000, Cost: 0.8194\n",
+      " and the parameters are [-2.94963893  3.99436453] -5.231152159957997 ;\n",
+      "Epoch 650/1000, Cost: 2.5228\n",
+      " and the parameters are [-2.9495986   3.99441812] -5.231152212048932 ;\n",
+      "Epoch 650/1000, Cost: 1.1611\n",
+      " and the parameters are [-2.94959472  3.99446515] -5.231144583171343 ;\n",
+      "Epoch 650/1000, Cost: 4.0671\n",
+      " and the parameters are [-2.94968335  3.99427942] -5.231228083497308 ;\n",
+      "Epoch 650/1000, Cost: 2.3545\n",
+      " and the parameters are [-2.94968688  3.99427561] -5.231261537663061 ;\n",
+      "Epoch 650/1000, Cost: 1.6756\n",
+      " and the parameters are [-2.94967639  3.99431125] -5.231267759465147 ;\n",
+      "Epoch 650/1000, Cost: 2.4811\n",
+      " and the parameters are [-2.94965243  3.99431029] -5.231321161024607 ;\n",
+      "Epoch 650/1000, Cost: 7.7863\n",
+      " and the parameters are [-2.94951857  3.99437229] -5.231329155631216 ;\n",
+      "Epoch 650/1000, Cost: 2.6385\n",
+      " and the parameters are [-2.94955238  3.99431161] -5.231385433793682 ;\n",
+      "Epoch 650/1000, Cost: 4.3269\n",
+      " and the parameters are [-2.94953431  3.99437947] -5.231361448249907 ;\n",
+      "Epoch 650/1000, Cost: 2.1495\n",
+      " and the parameters are [-2.94958672  3.99431891] -5.2313909805037815 ;\n",
+      "Epoch 650/1000, Cost: 1.4964\n",
+      " and the parameters are [-2.94961572  3.99432154] -5.231398534368881 ;\n",
+      "Epoch 650/1000, Cost: 1.5845\n",
+      " and the parameters are [-2.94960702  3.99436385] -5.2314040969671 ;\n",
+      "Epoch 650/1000, Cost: 2.7476\n",
+      " and the parameters are [-2.94966444  3.99440695] -5.23136606588844 ;\n",
+      "Epoch 650/1000, Cost: 3.1036\n",
+      " and the parameters are [-2.94964292  3.99445622] -5.231366838395243 ;\n",
+      "Epoch 650/1000, Cost: 3.2987\n",
+      " and the parameters are [-2.94965198  3.99445186] -5.231389093513402 ;\n",
+      "Epoch 650/1000, Cost: 2.2379\n",
+      " and the parameters are [-2.94968593  3.99453687] -5.231321788887351 ;\n",
+      "Epoch 650/1000, Cost: 0.6334\n",
+      " and the parameters are [-2.94966588  3.99457745] -5.231322055283449 ;\n",
+      "Epoch 650/1000, Cost: 6.5311\n",
+      " and the parameters are [-2.94978414  3.99446302] -5.231330376891457 ;\n",
+      "Epoch 650/1000, Cost: 4.8173\n",
+      " and the parameters are [-2.94981377  3.99432854] -5.231425268407457 ;\n",
+      "Epoch 650/1000, Cost: 1.8168\n",
+      " and the parameters are [-2.94984315  3.99431097] -5.231454418759627 ;\n",
+      "Epoch 650/1000, Cost: 1.9591\n",
+      " and the parameters are [-2.94982139  3.99443545] -5.231399082349084 ;\n",
+      "Epoch 650/1000, Cost: 2.3150\n",
+      " and the parameters are [-2.94978515  3.99453814] -5.231362184243044 ;\n",
+      "Epoch 650/1000, Cost: 1.3706\n",
+      " and the parameters are [-2.94981606  3.99456131] -5.2313559864617165 ;\n",
+      "Epoch 650/1000, Cost: 4.2375\n",
+      " and the parameters are [-2.94996871  3.99442631] -5.23139890964125 ;\n",
+      "Epoch 650/1000, Cost: 2.0625\n",
+      " and the parameters are [-2.95000322  3.99437037] -5.231435756881496 ;\n",
+      "Epoch 650/1000, Cost: 3.8751\n",
+      " and the parameters are [-2.9499747   3.99425511] -5.231567552031944 ;\n",
+      "Epoch 650/1000, Cost: 2.1679\n",
+      " and the parameters are [-2.95000543  3.99427429] -5.231570741188877 ;\n",
+      "Epoch 650/1000, Cost: 1.7476\n",
+      " and the parameters are [-2.95003174  3.99425318] -5.2316019084634515 ;\n",
+      "Epoch 650/1000, Cost: 4.5716\n",
+      " and the parameters are [-2.94997672  3.99429158] -5.231630113686386 ;\n",
+      "Epoch 650/1000, Cost: 1.7968\n",
+      " and the parameters are [-2.94998155  3.99433003] -5.231612114349469 ;\n",
+      "Epoch 650/1000, Cost: 2.2292\n",
+      " and the parameters are [-2.95003364  3.99433673] -5.231611617855319 ;\n",
+      "Epoch 650/1000, Cost: 1.4360\n",
+      " and the parameters are [-2.95005184  3.9943426 ] -5.23162004836315 ;\n",
+      "Epoch 650/1000, Cost: 7.4961\n",
+      " and the parameters are [-2.95007875  3.99431773] -5.231632604569867 ;\n",
+      "Epoch 650/1000, Cost: 2.1211\n",
+      " and the parameters are [-2.95001682  3.99441025] -5.231611860631579 ;\n",
+      "Epoch 650/1000, Cost: 2.2727\n",
+      " and the parameters are [-2.95000524  3.99451181] -5.231570235635299 ;\n",
+      "Epoch 650/1000, Cost: 2.5321\n",
+      " and the parameters are [-2.95002223  3.99449723] -5.231606919857263 ;\n",
+      "Epoch 650/1000, Cost: 4.6134\n",
+      " and the parameters are [-2.95002715  3.99448278] -5.23163328430379 ;\n",
+      "Epoch 650/1000, Cost: 2.1173\n",
+      " and the parameters are [-2.95008278  3.99442275] -5.2316729490967155 ;\n",
+      "Epoch 650/1000, Cost: 3.3890\n",
+      " and the parameters are [-2.95015311  3.99432782] -5.2317334990802795 ;\n",
+      "Epoch 650/1000, Cost: 1.4009\n",
+      " and the parameters are [-2.95018813  3.99429244] -5.231762695294611 ;\n",
+      "Epoch 650/1000, Cost: 3.9233\n",
+      " and the parameters are [-2.95015911  3.99433247] -5.231776184244508 ;\n",
+      "Epoch 650/1000, Cost: 4.7560\n",
+      " and the parameters are [-2.95011059  3.99439036] -5.231771137214223 ;\n",
+      "Epoch 650/1000, Cost: 2.3879\n",
+      " and the parameters are [-2.95010697  3.99441854] -5.231788474320224 ;\n",
+      "Epoch 650/1000, Cost: 1.5289\n",
+      " and the parameters are [-2.95009984  3.99447227] -5.231777558129277 ;\n",
+      "Epoch 650/1000, Cost: 2.5734\n",
+      " and the parameters are [-2.95008651  3.99454723] -5.231751729650286 ;\n",
+      "Epoch 650/1000, Cost: 6.7508\n",
+      " and the parameters are [-2.95002208  3.99448412] -5.231838847984021 ;\n",
+      "Epoch 660/1000, Cost: 1.6839\n",
+      " and the parameters are [-2.96101952  4.0082454 ] -5.251457298323945 ;\n",
+      "Epoch 660/1000, Cost: 4.8786\n",
+      " and the parameters are [-2.96107277  4.00807802] -5.251559050946435 ;\n",
+      "Epoch 660/1000, Cost: 0.6758\n",
+      " and the parameters are [-2.96107662  4.00807948] -5.251575717728907 ;\n",
+      "Epoch 660/1000, Cost: 5.1648\n",
+      " and the parameters are [-2.96104038  4.00804392] -5.251623912664843 ;\n",
+      "Epoch 660/1000, Cost: 4.1488\n",
+      " and the parameters are [-2.96106076  4.00795431] -5.251686936633671 ;\n",
+      "Epoch 660/1000, Cost: 2.0756\n",
+      " and the parameters are [-2.96108703  4.00789974] -5.251740338049181 ;\n",
+      "Epoch 660/1000, Cost: 1.3989\n",
+      " and the parameters are [-2.96112222  4.00790234] -5.251741235368897 ;\n",
+      "Epoch 660/1000, Cost: 2.5023\n",
+      " and the parameters are [-2.96113523  4.00793162] -5.251741602482696 ;\n",
+      "Epoch 660/1000, Cost: 1.1232\n",
+      " and the parameters are [-2.96112651  4.00797657] -5.251734844158432 ;\n",
+      "Epoch 660/1000, Cost: 3.2909\n",
+      " and the parameters are [-2.96121622  4.00786793] -5.2517825011093136 ;\n",
+      "Epoch 660/1000, Cost: 5.7290\n",
+      " and the parameters are [-2.96130369  4.00783379] -5.251779029548845 ;\n",
+      "Epoch 660/1000, Cost: 4.8260\n",
+      " and the parameters are [-2.96131096  4.00792512] -5.251723996662426 ;\n",
+      "Epoch 660/1000, Cost: 3.5071\n",
+      " and the parameters are [-2.96129454  4.00788718] -5.251778031676871 ;\n",
+      "Epoch 660/1000, Cost: 7.3870\n",
+      " and the parameters are [-2.96123699  4.0080202 ] -5.2517091361176 ;\n",
+      "Epoch 660/1000, Cost: 3.1565\n",
+      " and the parameters are [-2.96122443  4.00813347] -5.251660152196045 ;\n",
+      "Epoch 660/1000, Cost: 3.8347\n",
+      " and the parameters are [-2.96112513  4.00812497] -5.2517491576018545 ;\n",
+      "Epoch 660/1000, Cost: 2.0182\n",
+      " and the parameters are [-2.96112458  4.00817045] -5.251737536202224 ;\n",
+      "Epoch 660/1000, Cost: 1.0448\n",
+      " and the parameters are [-2.96111059  4.00817241] -5.2517683061861815 ;\n",
+      "Epoch 660/1000, Cost: 5.1221\n",
+      " and the parameters are [-2.9611472   4.00812454] -5.251780538420845 ;\n",
+      "Epoch 660/1000, Cost: 1.1147\n",
+      " and the parameters are [-2.96115428  4.00814628] -5.251786042354029 ;\n",
+      "Epoch 660/1000, Cost: 0.6682\n",
+      " and the parameters are [-2.96115692  4.00815537] -5.251797652066847 ;\n",
+      "Epoch 660/1000, Cost: 2.8855\n",
+      " and the parameters are [-2.96115675  4.00815601] -5.251822735245824 ;\n",
+      "Epoch 660/1000, Cost: 3.5211\n",
+      " and the parameters are [-2.96108354  4.00825249] -5.251812862380968 ;\n",
+      "Epoch 660/1000, Cost: 1.1452\n",
+      " and the parameters are [-2.96107548  4.0083235 ] -5.251788058916689 ;\n",
+      "Epoch 660/1000, Cost: 3.1951\n",
+      " and the parameters are [-2.96110167  4.0082351 ] -5.251856627787793 ;\n",
+      "Epoch 660/1000, Cost: 3.4018\n",
+      " and the parameters are [-2.96111549  4.00815995] -5.251922635730245 ;\n",
+      "Epoch 660/1000, Cost: 1.6544\n",
+      " and the parameters are [-2.9611574   4.00818158] -5.251906256957538 ;\n",
+      "Epoch 660/1000, Cost: 1.8593\n",
+      " and the parameters are [-2.96116438  4.00820245] -5.251915152047838 ;\n",
+      "Epoch 660/1000, Cost: 4.5732\n",
+      " and the parameters are [-2.96119059  4.00817263] -5.251927340325788 ;\n",
+      "Epoch 660/1000, Cost: 4.3473\n",
+      " and the parameters are [-2.96118289  4.00814657] -5.251959688660659 ;\n",
+      "Epoch 660/1000, Cost: 2.2495\n",
+      " and the parameters are [-2.96119893  4.00817304] -5.251955776737609 ;\n",
+      "Epoch 660/1000, Cost: 2.9870\n",
+      " and the parameters are [-2.96128141  4.00804018] -5.252031982801891 ;\n",
+      "Epoch 660/1000, Cost: 5.3066\n",
+      " and the parameters are [-2.96133241  4.0079906 ] -5.252073681884229 ;\n",
+      "Epoch 660/1000, Cost: 1.4739\n",
+      " and the parameters are [-2.96136089  4.00801811] -5.2520650410900975 ;\n",
+      "Epoch 660/1000, Cost: 2.9945\n",
+      " and the parameters are [-2.96136436  4.0080904 ] -5.252048697252034 ;\n",
+      "Epoch 660/1000, Cost: 2.0588\n",
+      " and the parameters are [-2.96139128  4.00814093] -5.252014268410835 ;\n",
+      "Epoch 660/1000, Cost: 7.4513\n",
+      " and the parameters are [-2.96142044  4.00811375] -5.252014383759025 ;\n",
+      "Epoch 660/1000, Cost: 1.0345\n",
+      " and the parameters are [-2.9614179   4.00815754] -5.252010636989937 ;\n",
+      "Epoch 660/1000, Cost: 3.2616\n",
+      " and the parameters are [-2.96146844  4.00815934] -5.251998536852374 ;\n",
+      "Epoch 660/1000, Cost: 2.0046\n",
+      " and the parameters are [-2.96151144  4.00818523] -5.251983718581045 ;\n",
+      "Epoch 660/1000, Cost: 1.3535\n",
+      " and the parameters are [-2.96145988  4.0082626 ] -5.251982164542722 ;\n",
+      "Epoch 660/1000, Cost: 1.7041\n",
+      " and the parameters are [-2.96149226  4.00828789] -5.251972067359764 ;\n",
+      "Epoch 660/1000, Cost: 4.4001\n",
+      " and the parameters are [-2.96147178  4.00834524] -5.251938502459773 ;\n",
+      "Epoch 660/1000, Cost: 1.9168\n",
+      " and the parameters are [-2.96146293  4.00839612] -5.251924270872984 ;\n",
+      "Epoch 660/1000, Cost: 2.5143\n",
+      " and the parameters are [-2.96140242  4.00839831] -5.251983343020382 ;\n",
+      "Epoch 660/1000, Cost: 1.6060\n",
+      " and the parameters are [-2.96140401  4.00843654] -5.2519840106258515 ;\n",
+      "Epoch 660/1000, Cost: 3.9718\n",
+      " and the parameters are [-2.96137373  4.00841718] -5.2520382328492365 ;\n",
+      "Epoch 660/1000, Cost: 1.7344\n",
+      " and the parameters are [-2.96134479  4.00845031] -5.2520535227478105 ;\n",
+      "Epoch 660/1000, Cost: 1.3052\n",
+      " and the parameters are [-2.96138462  4.00841431] -5.252084482925484 ;\n",
+      "Epoch 660/1000, Cost: 5.0224\n",
+      " and the parameters are [-2.96143896  4.00834937] -5.252114235921647 ;\n",
+      "Epoch 660/1000, Cost: 1.1832\n",
+      " and the parameters are [-2.96144869  4.00837088] -5.252117909608956 ;\n",
+      "Epoch 660/1000, Cost: 6.1507\n",
+      " and the parameters are [-2.96148895  4.00852498] -5.252010123189156 ;\n",
+      "Epoch 660/1000, Cost: 10.2488\n",
+      " and the parameters are [-2.96149535  4.00856291] -5.251920954034544 ;\n",
+      "Epoch 660/1000, Cost: 6.8453\n",
+      " and the parameters are [-2.96147345  4.00837172] -5.25206313257941 ;\n",
+      "Epoch 660/1000, Cost: 3.2484\n",
+      " and the parameters are [-2.96155222  4.00828956] -5.252119728056793 ;\n",
+      "Epoch 660/1000, Cost: 2.8859\n",
+      " and the parameters are [-2.96153554  4.00827329] -5.252154430256323 ;\n",
+      "Epoch 660/1000, Cost: 3.9636\n",
+      " and the parameters are [-2.96145763  4.00828243] -5.252212858496081 ;\n",
+      "Epoch 660/1000, Cost: 4.8400\n",
+      " and the parameters are [-2.96152576  4.00821133] -5.252245228788779 ;\n",
+      "Epoch 660/1000, Cost: 4.0113\n",
+      " and the parameters are [-2.9616247   4.00802847] -5.25234886505051 ;\n",
+      "Epoch 660/1000, Cost: 1.7951\n",
+      " and the parameters are [-2.96163733  4.00801301] -5.252368986722553 ;\n",
+      "Epoch 660/1000, Cost: 2.3597\n",
+      " and the parameters are [-2.96158463  4.00804343] -5.252413229358741 ;\n",
+      "Epoch 660/1000, Cost: 2.1462\n",
+      " and the parameters are [-2.96163351  4.00803753] -5.25241699549055 ;\n",
+      "Epoch 660/1000, Cost: 3.1557\n",
+      " and the parameters are [-2.96169891  4.00797642] -5.252449883321022 ;\n",
+      "Epoch 660/1000, Cost: 3.5132\n",
+      " and the parameters are [-2.96174283  4.00799572] -5.252433159647027 ;\n",
+      "Epoch 660/1000, Cost: 2.4751\n",
+      " and the parameters are [-2.96177019  4.00805135] -5.252401483747414 ;\n",
+      "Epoch 660/1000, Cost: 2.8813\n",
+      " and the parameters are [-2.96177784  4.00810959] -5.252377514288086 ;\n",
+      "Epoch 660/1000, Cost: 2.1586\n",
+      " and the parameters are [-2.96178275  4.00820851] -5.252332924517492 ;\n",
+      "Epoch 660/1000, Cost: 1.7635\n",
+      " and the parameters are [-2.96179384  4.00816625] -5.2523838568487875 ;\n",
+      "Epoch 660/1000, Cost: 2.6259\n",
+      " and the parameters are [-2.96185095  4.00808613] -5.252442175987831 ;\n",
+      "Epoch 660/1000, Cost: 3.5103\n",
+      " and the parameters are [-2.96186549  4.00820166] -5.25235902872801 ;\n",
+      "Epoch 660/1000, Cost: 1.4567\n",
+      " and the parameters are [-2.96187113  4.00822327] -5.252364733799208 ;\n",
+      "Epoch 660/1000, Cost: 2.3769\n",
+      " and the parameters are [-2.96185212  4.00827384] -5.252364435641526 ;\n",
+      "Epoch 660/1000, Cost: 5.1852\n",
+      " and the parameters are [-2.96178943  4.00845274] -5.2522733929766785 ;\n",
+      "Epoch 660/1000, Cost: 3.2333\n",
+      " and the parameters are [-2.96177415  4.00853542] -5.252244648063161 ;\n",
+      "Epoch 660/1000, Cost: 3.5184\n",
+      " and the parameters are [-2.96177863  4.00863157] -5.252199411188505 ;\n",
+      "Epoch 660/1000, Cost: 0.8774\n",
+      " and the parameters are [-2.96177194  4.00864686] -5.252214711198365 ;\n",
+      "Epoch 660/1000, Cost: 4.7274\n",
+      " and the parameters are [-2.96179306  4.00856252] -5.252272298886975 ;\n",
+      "Epoch 660/1000, Cost: 2.4013\n",
+      " and the parameters are [-2.96173702  4.00868188] -5.252239895242571 ;\n",
+      "Epoch 660/1000, Cost: 5.5979\n",
+      " and the parameters are [-2.96176106  4.00858833] -5.252294083485072 ;\n",
+      "Epoch 660/1000, Cost: 8.4768\n",
+      " and the parameters are [-2.96186736  4.00843084] -5.252335291165228 ;\n",
+      "Epoch 660/1000, Cost: 2.1158\n",
+      " and the parameters are [-2.96186842  4.00849227] -5.252311952597798 ;\n",
+      "Epoch 660/1000, Cost: 2.5993\n",
+      " and the parameters are [-2.96191336  4.00848863] -5.252314929988798 ;\n",
+      "Epoch 660/1000, Cost: 2.3447\n",
+      " and the parameters are [-2.9618737   4.00859084] -5.252280519094739 ;\n",
+      "Epoch 660/1000, Cost: 1.8455\n",
+      " and the parameters are [-2.96190915  4.00857325] -5.252297893664032 ;\n",
+      "Epoch 660/1000, Cost: 2.1066\n",
+      " and the parameters are [-2.96190409  4.00864871] -5.252272622122022 ;\n",
+      "Epoch 660/1000, Cost: 2.3506\n",
+      " and the parameters are [-2.96190012  4.00864806] -5.252297524877763 ;\n",
+      "Epoch 660/1000, Cost: 3.2322\n",
+      " and the parameters are [-2.96195705  4.00852575] -5.252386288646618 ;\n",
+      "Epoch 660/1000, Cost: 2.1176\n",
+      " and the parameters are [-2.96191239  4.00865587] -5.25233436183502 ;\n",
+      "Epoch 660/1000, Cost: 4.2771\n",
+      " and the parameters are [-2.96194648  4.00870288] -5.2522976165526485 ;\n",
+      "Epoch 660/1000, Cost: 1.5645\n",
+      " and the parameters are [-2.96195151  4.0087348 ] -5.252299540599414 ;\n",
+      "Epoch 660/1000, Cost: 2.9435\n",
+      " and the parameters are [-2.96195762  4.00883696] -5.252244518307048 ;\n",
+      "Epoch 660/1000, Cost: 3.6530\n",
+      " and the parameters are [-2.9620093   4.00879809] -5.252273762511888 ;\n",
+      "Epoch 660/1000, Cost: 1.7551\n",
+      " and the parameters are [-2.9620133   4.00878546] -5.252306987912825 ;\n",
+      "Epoch 660/1000, Cost: 1.7999\n",
+      " and the parameters are [-2.96204783  4.00879834] -5.252311923244754 ;\n",
+      "Epoch 660/1000, Cost: 1.8280\n",
+      " and the parameters are [-2.96199451  4.00888669] -5.252296085775567 ;\n",
+      "Epoch 660/1000, Cost: 2.1707\n",
+      " and the parameters are [-2.96196698  4.00885641] -5.252360957627642 ;\n",
+      "Epoch 660/1000, Cost: 1.5400\n",
+      " and the parameters are [-2.96196464  4.00891879] -5.252341477301583 ;\n",
+      "Epoch 660/1000, Cost: 3.6495\n",
+      " and the parameters are [-2.96198891  4.00885315] -5.252405825593393 ;\n",
+      "Epoch 660/1000, Cost: 4.5466\n",
+      " and the parameters are [-2.96193071  4.00890389] -5.252404309438533 ;\n",
+      "Epoch 660/1000, Cost: 3.1955\n",
+      " and the parameters are [-2.96193236  4.00886714] -5.252459945203733 ;\n",
+      "Epoch 660/1000, Cost: 2.1809\n",
+      " and the parameters are [-2.96200059  4.00889203] -5.252419057162077 ;\n",
+      "Epoch 660/1000, Cost: 2.7101\n",
+      " and the parameters are [-2.96194227  4.00895672] -5.252426289630275 ;\n",
+      "Epoch 660/1000, Cost: 1.6842\n",
+      " and the parameters are [-2.96187084  4.00896895] -5.252477659803562 ;\n",
+      "Epoch 660/1000, Cost: 1.0833\n",
+      " and the parameters are [-2.96184583  4.00898867] -5.252500191145614 ;\n",
+      "Epoch 660/1000, Cost: 1.4531\n",
+      " and the parameters are [-2.96188321  4.00901409] -5.252489668499996 ;\n",
+      "Epoch 660/1000, Cost: 1.0072\n",
+      " and the parameters are [-2.96187547  4.00906518] -5.252478327936919 ;\n",
+      "Epoch 660/1000, Cost: 2.5884\n",
+      " and the parameters are [-2.961854    4.00912646] -5.252462384409813 ;\n",
+      "Epoch 660/1000, Cost: 2.2240\n",
+      " and the parameters are [-2.96183361  4.00917418] -5.252469504628453 ;\n",
+      "Epoch 660/1000, Cost: 2.1019\n",
+      " and the parameters are [-2.96183217  4.00923759] -5.2524307234763405 ;\n",
+      "Epoch 660/1000, Cost: 1.6765\n",
+      " and the parameters are [-2.96184614  4.00920911] -5.252465515669914 ;\n",
+      "Epoch 660/1000, Cost: 2.6940\n",
+      " and the parameters are [-2.96186849  4.00922187] -5.252458505482559 ;\n",
+      "Epoch 660/1000, Cost: 6.5060\n",
+      " and the parameters are [-2.96191567  4.009261  ] -5.252397537263862 ;\n",
+      "Epoch 660/1000, Cost: 2.9895\n",
+      " and the parameters are [-2.96192733  4.00920052] -5.252455407852797 ;\n",
+      "Epoch 660/1000, Cost: 3.8675\n",
+      " and the parameters are [-2.96184504  4.0091833 ] -5.252538678315548 ;\n",
+      "Epoch 660/1000, Cost: 2.2979\n",
+      " and the parameters are [-2.9618952   4.00914541] -5.252566503862422 ;\n",
+      "Epoch 660/1000, Cost: 2.5529\n",
+      " and the parameters are [-2.96188181  4.00917996] -5.252569087871627 ;\n",
+      "Epoch 660/1000, Cost: 4.7225\n",
+      " and the parameters are [-2.96185069  4.0092662 ] -5.252538902921034 ;\n",
+      "Epoch 660/1000, Cost: 3.9870\n",
+      " and the parameters are [-2.96179293  4.00933178] -5.252549474247338 ;\n",
+      "Epoch 660/1000, Cost: 1.2203\n",
+      " and the parameters are [-2.96179656  4.00932284] -5.252574879779298 ;\n",
+      "Epoch 660/1000, Cost: 3.4254\n",
+      " and the parameters are [-2.96180048  4.00922039] -5.252658084799051 ;\n",
+      "Epoch 660/1000, Cost: 5.2794\n",
+      " and the parameters are [-2.96168554  4.00920372] -5.25273633100772 ;\n",
+      "Epoch 660/1000, Cost: 4.0189\n",
+      " and the parameters are [-2.9616653   4.00917049] -5.252783224673582 ;\n",
+      "Epoch 660/1000, Cost: 1.0437\n",
+      " and the parameters are [-2.96166928  4.00918022] -5.2528000551083736 ;\n",
+      "Epoch 660/1000, Cost: 5.7785\n",
+      " and the parameters are [-2.96171238  4.00910331] -5.252844477724801 ;\n",
+      "Epoch 660/1000, Cost: 2.3530\n",
+      " and the parameters are [-2.96171091  4.00911348] -5.2528684656823135 ;\n",
+      "Epoch 660/1000, Cost: 2.8300\n",
+      " and the parameters are [-2.96172994  4.00923425] -5.252783647188373 ;\n",
+      "Epoch 660/1000, Cost: 5.3394\n",
+      " and the parameters are [-2.96167009  4.00926683] -5.252807733709205 ;\n",
+      "Epoch 660/1000, Cost: 2.2328\n",
+      " and the parameters are [-2.96168319  4.00933691] -5.252777515400742 ;\n",
+      "Epoch 660/1000, Cost: 1.2274\n",
+      " and the parameters are [-2.96172382  4.00929085] -5.252811175679582 ;\n",
+      "Epoch 660/1000, Cost: 1.5732\n",
+      " and the parameters are [-2.96172849  4.009333  ] -5.252809845643386 ;\n",
+      "Epoch 660/1000, Cost: 6.6953\n",
+      " and the parameters are [-2.96179726  4.00929281] -5.252787540918752 ;\n",
+      "Epoch 660/1000, Cost: 1.3299\n",
+      " and the parameters are [-2.96176933  4.00934217] -5.252785323711712 ;\n",
+      "Epoch 660/1000, Cost: 1.0657\n",
+      " and the parameters are [-2.96174313  4.00939394] -5.252785320950996 ;\n",
+      "Epoch 660/1000, Cost: 5.7549\n",
+      " and the parameters are [-2.96181171  4.00940104] -5.252766384772675 ;\n",
+      "Epoch 660/1000, Cost: 3.0345\n",
+      " and the parameters are [-2.96189094  4.00943406] -5.252716157989959 ;\n",
+      "Epoch 660/1000, Cost: 2.9823\n",
+      " and the parameters are [-2.96190249  4.00946396] -5.252716561485007 ;\n",
+      "Epoch 660/1000, Cost: 1.7835\n",
+      " and the parameters are [-2.96192067  4.0095074 ] -5.252693475010528 ;\n",
+      "Epoch 660/1000, Cost: 1.8609\n",
+      " and the parameters are [-2.96187346  4.00951399] -5.252746633029103 ;\n",
+      "Epoch 660/1000, Cost: 2.9170\n",
+      " and the parameters are [-2.9619113   4.00952326] -5.252718801072422 ;\n",
+      "Epoch 660/1000, Cost: 2.8628\n",
+      " and the parameters are [-2.96192347  4.00957104] -5.25269572336103 ;\n",
+      "Epoch 660/1000, Cost: 1.9807\n",
+      " and the parameters are [-2.96193768  4.00957585] -5.25270763881845 ;\n",
+      "Epoch 660/1000, Cost: 2.3821\n",
+      " and the parameters are [-2.9619843   4.00948234] -5.252780016218107 ;\n",
+      "Epoch 660/1000, Cost: 1.7995\n",
+      " and the parameters are [-2.96204537  4.00954204] -5.25273037178339 ;\n",
+      "Epoch 660/1000, Cost: 6.6420\n",
+      " and the parameters are [-2.96208824  4.00944118] -5.252751586391896 ;\n",
+      "Epoch 660/1000, Cost: 2.8344\n",
+      " and the parameters are [-2.96209452  4.00943813] -5.252766222607319 ;\n",
+      "Epoch 660/1000, Cost: 1.5755\n",
+      " and the parameters are [-2.96206151  4.00948148] -5.252782274200397 ;\n",
+      "Epoch 660/1000, Cost: 2.5063\n",
+      " and the parameters are [-2.96214379  4.00940695] -5.2528179838105995 ;\n",
+      "Epoch 660/1000, Cost: 2.4630\n",
+      " and the parameters are [-2.96209803  4.00946786] -5.252830410798539 ;\n",
+      "Epoch 660/1000, Cost: 1.7261\n",
+      " and the parameters are [-2.96210488  4.00942045] -5.252885778805006 ;\n",
+      "Epoch 660/1000, Cost: 2.6047\n",
+      " and the parameters are [-2.96210441  4.00935332] -5.252967308826417 ;\n",
+      "Epoch 660/1000, Cost: 1.8586\n",
+      " and the parameters are [-2.96210421  4.00934759] -5.252993527609495 ;\n",
+      "Epoch 660/1000, Cost: 6.8425\n",
+      " and the parameters are [-2.96204251  4.0093292 ] -5.253044061036308 ;\n",
+      "Epoch 660/1000, Cost: 3.0787\n",
+      " and the parameters are [-2.96203375  4.00944144] -5.252981153135106 ;\n",
+      "Epoch 660/1000, Cost: 5.8581\n",
+      " and the parameters are [-2.96199782  4.00959888] -5.252874140828615 ;\n",
+      "Epoch 660/1000, Cost: 1.7526\n",
+      " and the parameters are [-2.96197291  4.00968812] -5.252853811627138 ;\n",
+      "Epoch 660/1000, Cost: 1.6052\n",
+      " and the parameters are [-2.96193069  4.00971042] -5.252888562768381 ;\n",
+      "Epoch 660/1000, Cost: 2.8873\n",
+      " and the parameters are [-2.96192529  4.00966558] -5.252953280640956 ;\n",
+      "Epoch 660/1000, Cost: 3.4017\n",
+      " and the parameters are [-2.96195064  4.00963385] -5.252982314318244 ;\n",
+      "Epoch 660/1000, Cost: 2.5283\n",
+      " and the parameters are [-2.96195494  4.00964084] -5.25302083519005 ;\n",
+      "Epoch 660/1000, Cost: 6.5555\n",
+      " and the parameters are [-2.96194005  4.00956716] -5.253080719816276 ;\n",
+      "Epoch 660/1000, Cost: 2.6745\n",
+      " and the parameters are [-2.96196687  4.00950703] -5.253153462626704 ;\n",
+      "Epoch 660/1000, Cost: 4.3175\n",
+      " and the parameters are [-2.96193487  4.00954016] -5.2531800742863135 ;\n",
+      "Epoch 660/1000, Cost: 5.5347\n",
+      " and the parameters are [-2.96193422  4.00962471] -5.253126605242032 ;\n",
+      "Epoch 660/1000, Cost: 2.1028\n",
+      " and the parameters are [-2.96193359  4.00965857] -5.253138411717335 ;\n",
+      "Epoch 660/1000, Cost: 3.1930\n",
+      " and the parameters are [-2.96197166  4.00967354] -5.2531339407667925 ;\n",
+      "Epoch 660/1000, Cost: 4.2882\n",
+      " and the parameters are [-2.96193486  4.00974313] -5.2531182398401945 ;\n",
+      "Epoch 660/1000, Cost: 2.6880\n",
+      " and the parameters are [-2.96199727  4.00978906] -5.253058188143551 ;\n",
+      "Epoch 660/1000, Cost: 8.7669\n",
+      " and the parameters are [-2.96199122  4.00991075] -5.25295113543142 ;\n",
+      "Epoch 660/1000, Cost: 4.8736\n",
+      " and the parameters are [-2.96195785  4.00977602] -5.253079670010583 ;\n",
+      "Epoch 660/1000, Cost: 2.5098\n",
+      " and the parameters are [-2.9619719   4.00970127] -5.253150786397942 ;\n",
+      "Epoch 660/1000, Cost: 5.0114\n",
+      " and the parameters are [-2.96198583  4.00969349] -5.253180507898359 ;\n",
+      "Epoch 660/1000, Cost: 4.1998\n",
+      " and the parameters are [-2.96202844  4.00959129] -5.2532541543251545 ;\n",
+      "Epoch 660/1000, Cost: 2.6971\n",
+      " and the parameters are [-2.9620678   4.00951675] -5.253314224011514 ;\n",
+      "Epoch 660/1000, Cost: 4.7946\n",
+      " and the parameters are [-2.96212706  4.0094813 ] -5.253339109235557 ;\n",
+      "Epoch 660/1000, Cost: 3.2408\n",
+      " and the parameters are [-2.96214774  4.00955513] -5.2533027785533655 ;\n",
+      "Epoch 660/1000, Cost: 4.9495\n",
+      " and the parameters are [-2.96207629  4.00966216] -5.253286843737623 ;\n",
+      "Epoch 660/1000, Cost: 6.6518\n",
+      " and the parameters are [-2.96216929  4.00949516] -5.253372535345191 ;\n",
+      "Epoch 660/1000, Cost: 1.6954\n",
+      " and the parameters are [-2.96214896  4.0095042 ] -5.253409319745692 ;\n",
+      "Epoch 660/1000, Cost: 2.7816\n",
+      " and the parameters are [-2.96222169  4.00948974] -5.253400359411984 ;\n",
+      "Epoch 660/1000, Cost: 2.8027\n",
+      " and the parameters are [-2.96220189  4.00953985] -5.253392405505625 ;\n",
+      "Epoch 660/1000, Cost: 6.0086\n",
+      " and the parameters are [-2.9622164   4.00938414] -5.253510683452915 ;\n",
+      "Epoch 660/1000, Cost: 1.5009\n",
+      " and the parameters are [-2.96223386  4.00935872] -5.253542075458594 ;\n",
+      "Epoch 660/1000, Cost: 4.5963\n",
+      " and the parameters are [-2.96226435  4.00923441] -5.253639790562968 ;\n",
+      "Epoch 660/1000, Cost: 2.0536\n",
+      " and the parameters are [-2.96227536  4.00934883] -5.253572684018988 ;\n",
+      "Epoch 660/1000, Cost: 1.6349\n",
+      " and the parameters are [-2.96230371  4.00936878] -5.253568079976837 ;\n",
+      "Epoch 660/1000, Cost: 3.3291\n",
+      " and the parameters are [-2.96235993  4.00944572] -5.253509650668083 ;\n",
+      "Epoch 660/1000, Cost: 1.0023\n",
+      " and the parameters are [-2.96239108  4.00948018] -5.253488944612127 ;\n",
+      "Epoch 660/1000, Cost: 2.8024\n",
+      " and the parameters are [-2.96231514  4.00952789] -5.253516600682115 ;\n",
+      "Epoch 660/1000, Cost: 7.5445\n",
+      " and the parameters are [-2.96237752  4.00941942] -5.253549300165936 ;\n",
+      "Epoch 660/1000, Cost: 2.2024\n",
+      " and the parameters are [-2.96233519  4.00947275] -5.253554928685874 ;\n",
+      "Epoch 660/1000, Cost: 1.0627\n",
+      " and the parameters are [-2.96235689  4.00946337] -5.253571354952527 ;\n",
+      "Epoch 660/1000, Cost: 1.9040\n",
+      " and the parameters are [-2.96236984  4.00948933] -5.253576781590563 ;\n",
+      "Epoch 660/1000, Cost: 4.1797\n",
+      " and the parameters are [-2.96229663  4.0096612 ] -5.25349829307473 ;\n",
+      "Epoch 660/1000, Cost: 2.5807\n",
+      " and the parameters are [-2.9622997   4.00961892] -5.253548841489901 ;\n",
+      "Epoch 660/1000, Cost: 3.5217\n",
+      " and the parameters are [-2.96231299  4.00968869] -5.25350974970815 ;\n",
+      "Epoch 660/1000, Cost: 1.9157\n",
+      " and the parameters are [-2.9622573   4.00979183] -5.25348617773451 ;\n",
+      "Epoch 660/1000, Cost: 4.4471\n",
+      " and the parameters are [-2.96221518  4.00978914] -5.25351401681296 ;\n",
+      "Epoch 660/1000, Cost: 4.5288\n",
+      " and the parameters are [-2.96215535  4.00988168] -5.253507939738103 ;\n",
+      "Epoch 660/1000, Cost: 3.9642\n",
+      " and the parameters are [-2.96219115  4.00987743] -5.253511222640566 ;\n",
+      "Epoch 660/1000, Cost: 3.2191\n",
+      " and the parameters are [-2.96223501  4.00975575] -5.253594693118393 ;\n",
+      "Epoch 670/1000, Cost: 2.0058\n",
+      " and the parameters are [-2.97307182  4.02329812] -5.27294789003883 ;\n",
+      "Epoch 670/1000, Cost: 3.1780\n",
+      " and the parameters are [-2.97309979  4.02320413] -5.273019868119716 ;\n",
+      "Epoch 670/1000, Cost: 1.0823\n",
+      " and the parameters are [-2.97303112  4.02324332] -5.27305137361386 ;\n",
+      "Epoch 670/1000, Cost: 6.1278\n",
+      " and the parameters are [-2.97299528  4.0230994 ] -5.273168625792506 ;\n",
+      "Epoch 670/1000, Cost: 2.1843\n",
+      " and the parameters are [-2.9730266   4.02302924] -5.273215982855487 ;\n",
+      "Epoch 670/1000, Cost: 1.3309\n",
+      " and the parameters are [-2.97304352  4.02308542] -5.273187595694805 ;\n",
+      "Epoch 670/1000, Cost: 2.4638\n",
+      " and the parameters are [-2.97305101  4.02309781] -5.273193989472823 ;\n",
+      "Epoch 670/1000, Cost: 2.8288\n",
+      " and the parameters are [-2.97300482  4.02314125] -5.273214534088907 ;\n",
+      "Epoch 670/1000, Cost: 2.9044\n",
+      " and the parameters are [-2.97294981  4.02313448] -5.2732799404262565 ;\n",
+      "Epoch 670/1000, Cost: 3.9862\n",
+      " and the parameters are [-2.97301859  4.02318555] -5.2732215786311 ;\n",
+      "Epoch 670/1000, Cost: 4.7402\n",
+      " and the parameters are [-2.97306985  4.02303985] -5.273299892841908 ;\n",
+      "Epoch 670/1000, Cost: 4.9390\n",
+      " and the parameters are [-2.97314032  4.02304596] -5.273275531313214 ;\n",
+      "Epoch 670/1000, Cost: 4.6419\n",
+      " and the parameters are [-2.97307175  4.02305835] -5.273329784312698 ;\n",
+      "Epoch 670/1000, Cost: 4.4260\n",
+      " and the parameters are [-2.97312881  4.02302714] -5.273340944877486 ;\n",
+      "Epoch 670/1000, Cost: 2.0113\n",
+      " and the parameters are [-2.97311637  4.02298213] -5.273397311694129 ;\n",
+      "Epoch 670/1000, Cost: 3.8678\n",
+      " and the parameters are [-2.97307627  4.02294108] -5.273486107761893 ;\n",
+      "Epoch 670/1000, Cost: 1.9619\n",
+      " and the parameters are [-2.97310355  4.0229704 ] -5.273481210529644 ;\n",
+      "Epoch 670/1000, Cost: 2.7568\n",
+      " and the parameters are [-2.97310102  4.02310026] -5.273409855999981 ;\n",
+      "Epoch 670/1000, Cost: 1.7712\n",
+      " and the parameters are [-2.97309491  4.02315283] -5.273401582712499 ;\n",
+      "Epoch 670/1000, Cost: 3.8560\n",
+      " and the parameters are [-2.97304757  4.0233659 ] -5.273297513340187 ;\n",
+      "Epoch 670/1000, Cost: 0.8057\n",
+      " and the parameters are [-2.97306625  4.02335543] -5.27331583690453 ;\n",
+      "Epoch 670/1000, Cost: 3.1346\n",
+      " and the parameters are [-2.97309728  4.02344189] -5.273250719577647 ;\n",
+      "Epoch 670/1000, Cost: 2.4921\n",
+      " and the parameters are [-2.97310349  4.02347059] -5.273243450287032 ;\n",
+      "Epoch 670/1000, Cost: 3.6758\n",
+      " and the parameters are [-2.97311523  4.02355282] -5.273204050515455 ;\n",
+      "Epoch 670/1000, Cost: 2.2585\n",
+      " and the parameters are [-2.97313221  4.02356715] -5.273206041627652 ;\n",
+      "Epoch 670/1000, Cost: 1.9617\n",
+      " and the parameters are [-2.9731534   4.02363036] -5.273174009894506 ;\n",
+      "Epoch 670/1000, Cost: 2.4977\n",
+      " and the parameters are [-2.97314328  4.02372815] -5.273135814814112 ;\n",
+      "Epoch 670/1000, Cost: 1.1589\n",
+      " and the parameters are [-2.97313314  4.02380127] -5.273110174862009 ;\n",
+      "Epoch 670/1000, Cost: 1.7573\n",
+      " and the parameters are [-2.97317714  4.02373577] -5.2731627649665525 ;\n",
+      "Epoch 670/1000, Cost: 2.3815\n",
+      " and the parameters are [-2.97323418  4.02371199] -5.2731774984368585 ;\n",
+      "Epoch 670/1000, Cost: 4.6099\n",
+      " and the parameters are [-2.97330441  4.02357635] -5.273253582310499 ;\n",
+      "Epoch 670/1000, Cost: 1.9879\n",
+      " and the parameters are [-2.97332805  4.02356727] -5.273270500550609 ;\n",
+      "Epoch 670/1000, Cost: 7.9122\n",
+      " and the parameters are [-2.97342824  4.02351208] -5.273239577832277 ;\n",
+      "Epoch 670/1000, Cost: 1.8780\n",
+      " and the parameters are [-2.97344085  4.02354403] -5.273236795865562 ;\n",
+      "Epoch 670/1000, Cost: 3.3886\n",
+      " and the parameters are [-2.97332173  4.02354549] -5.273315253242137 ;\n",
+      "Epoch 670/1000, Cost: 1.0894\n",
+      " and the parameters are [-2.97329554  4.02358602] -5.273324404247696 ;\n",
+      "Epoch 670/1000, Cost: 2.4929\n",
+      " and the parameters are [-2.97332295  4.02362222] -5.273309498635843 ;\n",
+      "Epoch 670/1000, Cost: 3.6688\n",
+      " and the parameters are [-2.97332466  4.02374062] -5.27324464136818 ;\n",
+      "Epoch 670/1000, Cost: 2.2444\n",
+      " and the parameters are [-2.97327624  4.02378445] -5.273263221026794 ;\n",
+      "Epoch 670/1000, Cost: 4.0879\n",
+      " and the parameters are [-2.97332051  4.02383997] -5.273221601886383 ;\n",
+      "Epoch 670/1000, Cost: 2.8011\n",
+      " and the parameters are [-2.97329707  4.02389834] -5.273228695323886 ;\n",
+      "Epoch 670/1000, Cost: 2.4604\n",
+      " and the parameters are [-2.97324188  4.02397672] -5.273238816159885 ;\n",
+      "Epoch 670/1000, Cost: 3.3303\n",
+      " and the parameters are [-2.97326632  4.02405304] -5.273200285439407 ;\n",
+      "Epoch 670/1000, Cost: 4.7396\n",
+      " and the parameters are [-2.97321252  4.02422684] -5.273119631867165 ;\n",
+      "Epoch 670/1000, Cost: 2.5669\n",
+      " and the parameters are [-2.97321847  4.02428045] -5.2731111222916915 ;\n",
+      "Epoch 670/1000, Cost: 5.2078\n",
+      " and the parameters are [-2.97316768  4.0242111 ] -5.273206365027349 ;\n",
+      "Epoch 670/1000, Cost: 3.2468\n",
+      " and the parameters are [-2.97319203  4.02425226] -5.273187970422559 ;\n",
+      "Epoch 670/1000, Cost: 1.3270\n",
+      " and the parameters are [-2.97317121  4.02429751] -5.2731918996369815 ;\n",
+      "Epoch 670/1000, Cost: 1.8522\n",
+      " and the parameters are [-2.97313186  4.02427932] -5.273253882594482 ;\n",
+      "Epoch 670/1000, Cost: 1.5725\n",
+      " and the parameters are [-2.97314865  4.0243393 ] -5.273232254836756 ;\n",
+      "Epoch 670/1000, Cost: 2.3079\n",
+      " and the parameters are [-2.97317319  4.02441444] -5.273181936382437 ;\n",
+      "Epoch 670/1000, Cost: 2.6778\n",
+      " and the parameters are [-2.97322277  4.0243496 ] -5.273228731521463 ;\n",
+      "Epoch 670/1000, Cost: 2.0004\n",
+      " and the parameters are [-2.97319421  4.02442   ] -5.2732175064543885 ;\n",
+      "Epoch 670/1000, Cost: 1.6796\n",
+      " and the parameters are [-2.9732106   4.02445366] -5.27320699850718 ;\n",
+      "Epoch 670/1000, Cost: 3.9703\n",
+      " and the parameters are [-2.97331676  4.02435479] -5.273257682223178 ;\n",
+      "Epoch 670/1000, Cost: 5.2995\n",
+      " and the parameters are [-2.97338152  4.02430372] -5.273274037801632 ;\n",
+      "Epoch 670/1000, Cost: 4.1226\n",
+      " and the parameters are [-2.9734044   4.02421194] -5.273357065712409 ;\n",
+      "Epoch 670/1000, Cost: 0.6653\n",
+      " and the parameters are [-2.97341496  4.02420963] -5.273370752587113 ;\n",
+      "Epoch 670/1000, Cost: 3.6221\n",
+      " and the parameters are [-2.97342093  4.02431607] -5.273300854292839 ;\n",
+      "Epoch 670/1000, Cost: 3.3073\n",
+      " and the parameters are [-2.97342597  4.02438257] -5.273266816602455 ;\n",
+      "Epoch 670/1000, Cost: 3.7046\n",
+      " and the parameters are [-2.97338955  4.0243434 ] -5.273338122869281 ;\n",
+      "Epoch 670/1000, Cost: 2.9537\n",
+      " and the parameters are [-2.97335898  4.02444158] -5.27331342571973 ;\n",
+      "Epoch 670/1000, Cost: 1.2045\n",
+      " and the parameters are [-2.97336693  4.02446344] -5.273320853214389 ;\n",
+      "Epoch 670/1000, Cost: 2.5341\n",
+      " and the parameters are [-2.9733591   4.02440142] -5.27339956843059 ;\n",
+      "Epoch 670/1000, Cost: 3.3134\n",
+      " and the parameters are [-2.97336437  4.0244187 ] -5.273410284795968 ;\n",
+      "Epoch 670/1000, Cost: 4.7849\n",
+      " and the parameters are [-2.97329686  4.02453946] -5.273358581886502 ;\n",
+      "Epoch 670/1000, Cost: 2.8183\n",
+      " and the parameters are [-2.97330534  4.02455386] -5.273381519856176 ;\n",
+      "Epoch 670/1000, Cost: 3.4050\n",
+      " and the parameters are [-2.97322889  4.02459718] -5.273419954970593 ;\n",
+      "Epoch 670/1000, Cost: 8.8071\n",
+      " and the parameters are [-2.973175    4.02442416] -5.273573157083463 ;\n",
+      "Epoch 670/1000, Cost: 1.9880\n",
+      " and the parameters are [-2.97319745  4.02440747] -5.273600597825393 ;\n",
+      "Epoch 670/1000, Cost: 2.8038\n",
+      " and the parameters are [-2.97317764  4.02440759] -5.273631178406828 ;\n",
+      "Epoch 670/1000, Cost: 5.1421\n",
+      " and the parameters are [-2.97328428  4.02419405] -5.273741433674516 ;\n",
+      "Epoch 670/1000, Cost: 2.7926\n",
+      " and the parameters are [-2.97333138  4.02425698] -5.273690051970793 ;\n",
+      "Epoch 670/1000, Cost: 4.1748\n",
+      " and the parameters are [-2.97334675  4.02428709] -5.27368371789764 ;\n",
+      "Epoch 670/1000, Cost: 6.8953\n",
+      " and the parameters are [-2.97342822  4.02410881] -5.2737758242872985 ;\n",
+      "Epoch 670/1000, Cost: 2.9376\n",
+      " and the parameters are [-2.97333515  4.02426656] -5.273731717817849 ;\n",
+      "Epoch 670/1000, Cost: 2.1630\n",
+      " and the parameters are [-2.97334779  4.02432115] -5.273711088587968 ;\n",
+      "Epoch 670/1000, Cost: 3.0666\n",
+      " and the parameters are [-2.97333916  4.02441632] -5.273666154298651 ;\n",
+      "Epoch 670/1000, Cost: 1.4503\n",
+      " and the parameters are [-2.97335594  4.02444562] -5.273657637924846 ;\n",
+      "Epoch 670/1000, Cost: 1.8069\n",
+      " and the parameters are [-2.97334052  4.0244247 ] -5.273709732157861 ;\n",
+      "Epoch 670/1000, Cost: 0.7419\n",
+      " and the parameters are [-2.97332946  4.02445322] -5.273714777851191 ;\n",
+      "Epoch 670/1000, Cost: 2.8780\n",
+      " and the parameters are [-2.97336157  4.0245751 ] -5.273630276527672 ;\n",
+      "Epoch 670/1000, Cost: 1.4690\n",
+      " and the parameters are [-2.97333791  4.0245577 ] -5.273672923568206 ;\n",
+      "Epoch 670/1000, Cost: 1.8276\n",
+      " and the parameters are [-2.97335661  4.02459125] -5.273666070424348 ;\n",
+      "Epoch 670/1000, Cost: 2.7077\n",
+      " and the parameters are [-2.97341739  4.02460737] -5.27364911939509 ;\n",
+      "Epoch 670/1000, Cost: 3.6610\n",
+      " and the parameters are [-2.97340799  4.0246642 ] -5.273628306393862 ;\n",
+      "Epoch 670/1000, Cost: 4.5308\n",
+      " and the parameters are [-2.97342886  4.02464796] -5.2736382790272485 ;\n",
+      "Epoch 670/1000, Cost: 3.1023\n",
+      " and the parameters are [-2.97341026  4.02465893] -5.273668936569389 ;\n",
+      "Epoch 670/1000, Cost: 3.3092\n",
+      " and the parameters are [-2.97337374  4.02466527] -5.273706034952138 ;\n",
+      "Epoch 670/1000, Cost: 1.8795\n",
+      " and the parameters are [-2.97338724  4.02467533] -5.273721450841202 ;\n",
+      "Epoch 670/1000, Cost: 4.3257\n",
+      " and the parameters are [-2.97340431  4.02477041] -5.273656909412276 ;\n",
+      "Epoch 670/1000, Cost: 0.9124\n",
+      " and the parameters are [-2.9734115   4.02477546] -5.273670340843793 ;\n",
+      "Epoch 670/1000, Cost: 2.1057\n",
+      " and the parameters are [-2.97344241  4.02472051] -5.2737178755863825 ;\n",
+      "Epoch 670/1000, Cost: 2.2788\n",
+      " and the parameters are [-2.97347609  4.02476176] -5.2736955476828244 ;\n",
+      "Epoch 670/1000, Cost: 1.1101\n",
+      " and the parameters are [-2.97345431  4.02477928] -5.273712308769018 ;\n",
+      "Epoch 670/1000, Cost: 5.8787\n",
+      " and the parameters are [-2.97351032  4.02472164] -5.273741815356157 ;\n",
+      "Epoch 670/1000, Cost: 4.3693\n",
+      " and the parameters are [-2.97348097  4.02468301] -5.273816605419109 ;\n",
+      "Epoch 670/1000, Cost: 2.9159\n",
+      " and the parameters are [-2.97351591  4.02479842] -5.273727389244959 ;\n",
+      "Epoch 670/1000, Cost: 7.5313\n",
+      " and the parameters are [-2.97346325  4.02477018] -5.2737500143906875 ;\n",
+      "Epoch 670/1000, Cost: 3.8965\n",
+      " and the parameters are [-2.97341964  4.02473171] -5.273818754379445 ;\n",
+      "Epoch 670/1000, Cost: 4.3616\n",
+      " and the parameters are [-2.97341587  4.02486032] -5.27373403969086 ;\n",
+      "Epoch 670/1000, Cost: 2.6879\n",
+      " and the parameters are [-2.97342795  4.02480256] -5.273784153931474 ;\n",
+      "Epoch 670/1000, Cost: 3.7821\n",
+      " and the parameters are [-2.9734535   4.02471215] -5.27386034770541 ;\n",
+      "Epoch 670/1000, Cost: 3.1421\n",
+      " and the parameters are [-2.97341976  4.02474563] -5.273877702130582 ;\n",
+      "Epoch 670/1000, Cost: 2.7697\n",
+      " and the parameters are [-2.97344554  4.02474995] -5.273884148751219 ;\n",
+      "Epoch 670/1000, Cost: 1.8595\n",
+      " and the parameters are [-2.97340259  4.02483186] -5.273868260696538 ;\n",
+      "Epoch 670/1000, Cost: 3.0583\n",
+      " and the parameters are [-2.97344345  4.02474629] -5.273942905467381 ;\n",
+      "Epoch 670/1000, Cost: 2.4064\n",
+      " and the parameters are [-2.97351178  4.02471061] -5.2739649726473 ;\n",
+      "Epoch 670/1000, Cost: 4.3814\n",
+      " and the parameters are [-2.97364736  4.02452305] -5.274039085560337 ;\n",
+      "Epoch 670/1000, Cost: 5.6846\n",
+      " and the parameters are [-2.97357525  4.0245029 ] -5.274098696236686 ;\n",
+      "Epoch 670/1000, Cost: 2.2421\n",
+      " and the parameters are [-2.97357942  4.02455014] -5.274091260105916 ;\n",
+      "Epoch 670/1000, Cost: 1.9133\n",
+      " and the parameters are [-2.97360442  4.02453726] -5.274112299680074 ;\n",
+      "Epoch 670/1000, Cost: 3.9297\n",
+      " and the parameters are [-2.973648    4.02442912] -5.274189788236577 ;\n",
+      "Epoch 670/1000, Cost: 1.9056\n",
+      " and the parameters are [-2.97366268  4.0244709 ] -5.274170709451702 ;\n",
+      "Epoch 670/1000, Cost: 2.8294\n",
+      " and the parameters are [-2.97364662  4.02444585] -5.274215045684138 ;\n",
+      "Epoch 670/1000, Cost: 2.5989\n",
+      " and the parameters are [-2.97370092  4.02438675] -5.274254345573522 ;\n",
+      "Epoch 670/1000, Cost: 2.5688\n",
+      " and the parameters are [-2.97361724  4.02451251] -5.274225934447496 ;\n",
+      "Epoch 670/1000, Cost: 1.7236\n",
+      " and the parameters are [-2.97366135  4.02454163] -5.274200315980917 ;\n",
+      "Epoch 670/1000, Cost: 3.1460\n",
+      " and the parameters are [-2.97368793  4.02461408] -5.274151225019498 ;\n",
+      "Epoch 670/1000, Cost: 1.7343\n",
+      " and the parameters are [-2.97370925  4.02459442] -5.274185021057387 ;\n",
+      "Epoch 670/1000, Cost: 4.2871\n",
+      " and the parameters are [-2.97370231  4.02453273] -5.274243025594697 ;\n",
+      "Epoch 670/1000, Cost: 2.5488\n",
+      " and the parameters are [-2.97370895  4.02448133] -5.274291735537348 ;\n",
+      "Epoch 670/1000, Cost: 2.0305\n",
+      " and the parameters are [-2.97369333  4.02445154] -5.27434977982257 ;\n",
+      "Epoch 670/1000, Cost: 2.0897\n",
+      " and the parameters are [-2.973704    4.02442411] -5.274396924574046 ;\n",
+      "Epoch 670/1000, Cost: 1.5405\n",
+      " and the parameters are [-2.97369528  4.02449793] -5.274376163094389 ;\n",
+      "Epoch 670/1000, Cost: 6.5475\n",
+      " and the parameters are [-2.97367819  4.02462572] -5.274282971558015 ;\n",
+      "Epoch 670/1000, Cost: 1.7336\n",
+      " and the parameters are [-2.9737278   4.02463486] -5.274266549391488 ;\n",
+      "Epoch 670/1000, Cost: 3.0958\n",
+      " and the parameters are [-2.97371582  4.02460168] -5.274324286565435 ;\n",
+      "Epoch 670/1000, Cost: 3.0883\n",
+      " and the parameters are [-2.97370359  4.02458346] -5.274356529036722 ;\n",
+      "Epoch 670/1000, Cost: 2.9607\n",
+      " and the parameters are [-2.97373053  4.02464708] -5.274321526221033 ;\n",
+      "Epoch 670/1000, Cost: 4.9739\n",
+      " and the parameters are [-2.97373125  4.02453567] -5.274422494086964 ;\n",
+      "Epoch 670/1000, Cost: 3.8421\n",
+      " and the parameters are [-2.97373722  4.02455175] -5.274414456110492 ;\n",
+      "Epoch 670/1000, Cost: 3.1199\n",
+      " and the parameters are [-2.97378581  4.02452805] -5.2744414110751014 ;\n",
+      "Epoch 670/1000, Cost: 2.6860\n",
+      " and the parameters are [-2.97373392  4.02465764] -5.274404801821424 ;\n",
+      "Epoch 670/1000, Cost: 1.6513\n",
+      " and the parameters are [-2.97374204  4.02468086] -5.274412802134785 ;\n",
+      "Epoch 670/1000, Cost: 1.4739\n",
+      " and the parameters are [-2.97373136  4.02475774] -5.274389812035848 ;\n",
+      "Epoch 670/1000, Cost: 4.4647\n",
+      " and the parameters are [-2.9737645   4.02474431] -5.2743893469417085 ;\n",
+      "Epoch 670/1000, Cost: 4.6056\n",
+      " and the parameters are [-2.97378954  4.02468527] -5.274425867692332 ;\n",
+      "Epoch 670/1000, Cost: 1.4507\n",
+      " and the parameters are [-2.97378256  4.02472638] -5.274427887815098 ;\n",
+      "Epoch 670/1000, Cost: 1.2185\n",
+      " and the parameters are [-2.9737816   4.02474998] -5.274433989918557 ;\n",
+      "Epoch 670/1000, Cost: 4.7487\n",
+      " and the parameters are [-2.97377507  4.02480643] -5.274408831942511 ;\n",
+      "Epoch 670/1000, Cost: 6.0008\n",
+      " and the parameters are [-2.97376687  4.02492728] -5.274327870719892 ;\n",
+      "Epoch 670/1000, Cost: 3.5122\n",
+      " and the parameters are [-2.97373909  4.02495873] -5.2743357719108275 ;\n",
+      "Epoch 670/1000, Cost: 1.3426\n",
+      " and the parameters are [-2.97376086  4.02495255] -5.274359056350691 ;\n",
+      "Epoch 670/1000, Cost: 1.2966\n",
+      " and the parameters are [-2.97377084  4.02492681] -5.274392409388193 ;\n",
+      "Epoch 670/1000, Cost: 6.0696\n",
+      " and the parameters are [-2.97377513  4.02491882] -5.274388992316318 ;\n",
+      "Epoch 670/1000, Cost: 1.8342\n",
+      " and the parameters are [-2.97377911  4.02500712] -5.274348556483978 ;\n",
+      "Epoch 670/1000, Cost: 1.5356\n",
+      " and the parameters are [-2.97375812  4.02506444] -5.274337637505612 ;\n",
+      "Epoch 670/1000, Cost: 3.6978\n",
+      " and the parameters are [-2.97371035  4.02509683] -5.2743516026568225 ;\n",
+      "Epoch 670/1000, Cost: 1.8715\n",
+      " and the parameters are [-2.97374841  4.02514888] -5.274306846105369 ;\n",
+      "Epoch 670/1000, Cost: 2.0806\n",
+      " and the parameters are [-2.97377764  4.02520451] -5.274280804822023 ;\n",
+      "Epoch 670/1000, Cost: 1.1812\n",
+      " and the parameters are [-2.97378414  4.02520258] -5.274301313076642 ;\n",
+      "Epoch 670/1000, Cost: 1.6296\n",
+      " and the parameters are [-2.97379315  4.02516917] -5.274333160728089 ;\n",
+      "Epoch 670/1000, Cost: 1.5845\n",
+      " and the parameters are [-2.97381778  4.0251781 ] -5.274348474481164 ;\n",
+      "Epoch 670/1000, Cost: 2.3167\n",
+      " and the parameters are [-2.97379763  4.02519142] -5.274377992945888 ;\n",
+      "Epoch 670/1000, Cost: 1.3912\n",
+      " and the parameters are [-2.97381998  4.02520152] -5.27437734618513 ;\n",
+      "Epoch 670/1000, Cost: 6.5162\n",
+      " and the parameters are [-2.9738773   4.02516874] -5.274349990360558 ;\n",
+      "Epoch 670/1000, Cost: 6.9057\n",
+      " and the parameters are [-2.97394144  4.02507183] -5.274371884056723 ;\n",
+      "Epoch 670/1000, Cost: 1.6788\n",
+      " and the parameters are [-2.97397042  4.02504517] -5.274397112019896 ;\n",
+      "Epoch 670/1000, Cost: 9.9641\n",
+      " and the parameters are [-2.97396706  4.02491265] -5.274450267294599 ;\n",
+      "Epoch 670/1000, Cost: 1.4292\n",
+      " and the parameters are [-2.9739868   4.02497321] -5.2744220954761705 ;\n",
+      "Epoch 670/1000, Cost: 2.1188\n",
+      " and the parameters are [-2.97407573  4.02487515] -5.274467156309583 ;\n",
+      "Epoch 670/1000, Cost: 3.8748\n",
+      " and the parameters are [-2.97406427  4.02491239] -5.274481034981314 ;\n",
+      "Epoch 670/1000, Cost: 11.2416\n",
+      " and the parameters are [-2.97400849  4.02497316] -5.274410787440076 ;\n",
+      "Epoch 670/1000, Cost: 2.9180\n",
+      " and the parameters are [-2.97403974  4.02498083] -5.274406499882433 ;\n",
+      "Epoch 670/1000, Cost: 0.9126\n",
+      " and the parameters are [-2.97403641  4.02503177] -5.27438874293279 ;\n",
+      "Epoch 670/1000, Cost: 1.6057\n",
+      " and the parameters are [-2.97405559  4.02500195] -5.2744261347956565 ;\n",
+      "Epoch 670/1000, Cost: 7.2163\n",
+      " and the parameters are [-2.97406814  4.02485847] -5.274516203052943 ;\n",
+      "Epoch 670/1000, Cost: 2.7586\n",
+      " and the parameters are [-2.9741013   4.02483391] -5.27453664721242 ;\n",
+      "Epoch 670/1000, Cost: 4.5418\n",
+      " and the parameters are [-2.97408395  4.02477993] -5.274594174681853 ;\n",
+      "Epoch 670/1000, Cost: 5.4549\n",
+      " and the parameters are [-2.97408732  4.02487416] -5.274531206735439 ;\n",
+      "Epoch 670/1000, Cost: 1.8513\n",
+      " and the parameters are [-2.97407229  4.02486374] -5.27456458752388 ;\n",
+      "Epoch 670/1000, Cost: 1.6356\n",
+      " and the parameters are [-2.97408096  4.02490977] -5.274554835512804 ;\n",
+      "Epoch 670/1000, Cost: 5.4319\n",
+      " and the parameters are [-2.97404619  4.024865  ] -5.274616872944439 ;\n",
+      "Epoch 670/1000, Cost: 4.3462\n",
+      " and the parameters are [-2.97403921  4.02491325] -5.274603894500895 ;\n",
+      "Epoch 670/1000, Cost: 1.9427\n",
+      " and the parameters are [-2.97403484  4.02498482] -5.274585752072299 ;\n",
+      "Epoch 670/1000, Cost: 5.5072\n",
+      " and the parameters are [-2.97401018  4.02499533] -5.274587760762106 ;\n",
+      "Epoch 670/1000, Cost: 2.8913\n",
+      " and the parameters are [-2.9739858   4.02507209] -5.27457200277486 ;\n",
+      "Epoch 670/1000, Cost: 6.8073\n",
+      " and the parameters are [-2.97400709  4.02511705] -5.2745297738241685 ;\n",
+      "Epoch 670/1000, Cost: 3.1004\n",
+      " and the parameters are [-2.9740326   4.02509153] -5.274550663322524 ;\n",
+      "Epoch 670/1000, Cost: 0.9474\n",
+      " and the parameters are [-2.97404588  4.02506894] -5.27458006433918 ;\n",
+      "Epoch 670/1000, Cost: 3.2477\n",
+      " and the parameters are [-2.97408622  4.02513445] -5.274521380600574 ;\n",
+      "Epoch 670/1000, Cost: 1.7803\n",
+      " and the parameters are [-2.97408506  4.02511532] -5.274566036501954 ;\n",
+      "Epoch 670/1000, Cost: 1.7118\n",
+      " and the parameters are [-2.97413362  4.02507961] -5.274593125822218 ;\n",
+      "Epoch 670/1000, Cost: 5.1991\n",
+      " and the parameters are [-2.97426836  4.02495238] -5.274619463507849 ;\n",
+      "Epoch 670/1000, Cost: 6.3516\n",
+      " and the parameters are [-2.97436977  4.02476329] -5.274702220052812 ;\n",
+      "Epoch 670/1000, Cost: 3.9032\n",
+      " and the parameters are [-2.97432962  4.02471817] -5.274786059752896 ;\n",
+      "Epoch 670/1000, Cost: 3.3440\n",
+      " and the parameters are [-2.97438244  4.0247556 ] -5.274750820760185 ;\n",
+      "Epoch 670/1000, Cost: 1.0124\n",
+      " and the parameters are [-2.97439978  4.02477096] -5.274753771070715 ;\n",
+      "Epoch 670/1000, Cost: 2.6153\n",
+      " and the parameters are [-2.97436805  4.02485486] -5.274734707167251 ;\n",
+      "Epoch 670/1000, Cost: 3.2576\n",
+      " and the parameters are [-2.97432517  4.02482124] -5.2748031544656815 ;\n",
+      "Epoch 670/1000, Cost: 3.9986\n",
+      " and the parameters are [-2.97422599  4.024812  ] -5.274862048631347 ;\n",
+      "Epoch 670/1000, Cost: 3.7985\n",
+      " and the parameters are [-2.97423135  4.02484068] -5.274854855406515 ;\n",
+      "Epoch 670/1000, Cost: 1.2211\n",
+      " and the parameters are [-2.97424283  4.02484669] -5.274867255958741 ;\n",
+      "Epoch 670/1000, Cost: 3.0255\n",
+      " and the parameters are [-2.97415836  4.02495179] -5.274847445472718 ;\n",
+      "Epoch 670/1000, Cost: 3.0517\n",
+      " and the parameters are [-2.97415025  4.02491355] -5.274914702431096 ;\n",
+      "Epoch 670/1000, Cost: 3.0605\n",
+      " and the parameters are [-2.97412987  4.02488992] -5.274974920154147 ;\n",
+      "Epoch 670/1000, Cost: 1.4963\n",
+      " and the parameters are [-2.97416801  4.0249153 ] -5.274965538088899 ;\n",
+      "Epoch 670/1000, Cost: 3.2896\n",
+      " and the parameters are [-2.97419798  4.02484395] -5.275021371748464 ;\n",
+      "Epoch 670/1000, Cost: 2.7853\n",
+      " and the parameters are [-2.97426775  4.02479417] -5.275044910781018 ;\n",
+      "Epoch 680/1000, Cost: 4.5866\n",
+      " and the parameters are [-2.98492282  4.03817759] -5.294074619437933 ;\n",
+      "Epoch 680/1000, Cost: 2.9034\n",
+      " and the parameters are [-2.98497858  4.0382338 ] -5.294034639861122 ;\n",
+      "Epoch 680/1000, Cost: 1.6623\n",
+      " and the parameters are [-2.9849527   4.03823494] -5.294069616187207 ;\n",
+      "Epoch 680/1000, Cost: 2.0233\n",
+      " and the parameters are [-2.98493864  4.0382896 ] -5.294058925997703 ;\n",
+      "Epoch 680/1000, Cost: 2.8596\n",
+      " and the parameters are [-2.98498199  4.03820319] -5.29412837199418 ;\n",
+      "Epoch 680/1000, Cost: 1.7962\n",
+      " and the parameters are [-2.98497739  4.03828433] -5.294102560347323 ;\n",
+      "Epoch 680/1000, Cost: 2.3737\n",
+      " and the parameters are [-2.98489536  4.03832685] -5.294140492717944 ;\n",
+      "Epoch 680/1000, Cost: 2.8761\n",
+      " and the parameters are [-2.98490609  4.03822609] -5.29423173094028 ;\n",
+      "Epoch 680/1000, Cost: 2.8275\n",
+      " and the parameters are [-2.98492672  4.03827043] -5.294219356191303 ;\n",
+      "Epoch 680/1000, Cost: 1.7717\n",
+      " and the parameters are [-2.98495886  4.03829214] -5.294198570077451 ;\n",
+      "Epoch 680/1000, Cost: 4.8504\n",
+      " and the parameters are [-2.98497036  4.03820365] -5.2942747192600015 ;\n",
+      "Epoch 680/1000, Cost: 1.9429\n",
+      " and the parameters are [-2.98499681  4.0381481 ] -5.294333112819489 ;\n",
+      "Epoch 680/1000, Cost: 5.1205\n",
+      " and the parameters are [-2.98494139  4.03814577] -5.294366391326761 ;\n",
+      "Epoch 680/1000, Cost: 0.8218\n",
+      " and the parameters are [-2.98493973  4.03815834] -5.294379176555174 ;\n",
+      "Epoch 680/1000, Cost: 2.2561\n",
+      " and the parameters are [-2.98498598  4.03807967] -5.294434557370165 ;\n",
+      "Epoch 680/1000, Cost: 2.1727\n",
+      " and the parameters are [-2.98496341  4.03818312] -5.294397034881884 ;\n",
+      "Epoch 680/1000, Cost: 1.6866\n",
+      " and the parameters are [-2.98492711  4.03818016] -5.294442864035603 ;\n",
+      "Epoch 680/1000, Cost: 2.9860\n",
+      " and the parameters are [-2.98488861  4.03819063] -5.294467984680337 ;\n",
+      "Epoch 680/1000, Cost: 2.9012\n",
+      " and the parameters are [-2.98487463  4.03818594] -5.294507006504411 ;\n",
+      "Epoch 680/1000, Cost: 1.8322\n",
+      " and the parameters are [-2.98491613  4.03815754] -5.294535171215313 ;\n",
+      "Epoch 680/1000, Cost: 2.5183\n",
+      " and the parameters are [-2.98490159  4.03817453] -5.29455925647926 ;\n",
+      "Epoch 680/1000, Cost: 2.6226\n",
+      " and the parameters are [-2.98484541  4.03820185] -5.294592573794372 ;\n",
+      "Epoch 680/1000, Cost: 3.5071\n",
+      " and the parameters are [-2.98483008  4.03830102] -5.29455192713403 ;\n",
+      "Epoch 680/1000, Cost: 3.9199\n",
+      " and the parameters are [-2.98492408  4.03817193] -5.294617051686849 ;\n",
+      "Epoch 680/1000, Cost: 1.8526\n",
+      " and the parameters are [-2.98492174  4.03827617] -5.294561835600852 ;\n",
+      "Epoch 680/1000, Cost: 2.1073\n",
+      " and the parameters are [-2.9849115   4.03829276] -5.294584951704009 ;\n",
+      "Epoch 680/1000, Cost: 1.4827\n",
+      " and the parameters are [-2.98486084  4.03835947] -5.294589717940345 ;\n",
+      "Epoch 680/1000, Cost: 5.1024\n",
+      " and the parameters are [-2.98496212  4.03820899] -5.294639793732255 ;\n",
+      "Epoch 680/1000, Cost: 0.8655\n",
+      " and the parameters are [-2.98496523  4.03822108] -5.29464830804512 ;\n",
+      "Epoch 680/1000, Cost: 5.2203\n",
+      " and the parameters are [-2.98497242  4.03804361] -5.294777033761229 ;\n",
+      "Epoch 680/1000, Cost: 5.1439\n",
+      " and the parameters are [-2.98497961  4.03797717] -5.294826721387784 ;\n",
+      "Epoch 680/1000, Cost: 2.0454\n",
+      " and the parameters are [-2.98497054  4.03796206] -5.294867300227794 ;\n",
+      "Epoch 680/1000, Cost: 2.9117\n",
+      " and the parameters are [-2.98501844  4.03789482] -5.294918557188509 ;\n",
+      "Epoch 680/1000, Cost: 1.2786\n",
+      " and the parameters are [-2.98500172  4.03795662] -5.294909778647028 ;\n",
+      "Epoch 680/1000, Cost: 6.1403\n",
+      " and the parameters are [-2.98518747  4.03784801] -5.294888539872899 ;\n",
+      "Epoch 680/1000, Cost: 2.3521\n",
+      " and the parameters are [-2.98522939  4.03786268] -5.294880662515585 ;\n",
+      "Epoch 680/1000, Cost: 4.7138\n",
+      " and the parameters are [-2.98510852  4.03799498] -5.294876959651412 ;\n",
+      "Epoch 680/1000, Cost: 4.0326\n",
+      " and the parameters are [-2.98510671  4.03802896] -5.294885187485267 ;\n",
+      "Epoch 680/1000, Cost: 2.1386\n",
+      " and the parameters are [-2.9851436   4.03802075] -5.294899213559815 ;\n",
+      "Epoch 680/1000, Cost: 3.2591\n",
+      " and the parameters are [-2.9851611   4.03807836] -5.2948753029066395 ;\n",
+      "Epoch 680/1000, Cost: 3.3014\n",
+      " and the parameters are [-2.98522258  4.03806583] -5.29486737048661 ;\n",
+      "Epoch 680/1000, Cost: 6.9146\n",
+      " and the parameters are [-2.98517161  4.0380908 ] -5.294856512072287 ;\n",
+      "Epoch 680/1000, Cost: 6.5038\n",
+      " and the parameters are [-2.9851935   4.03809092] -5.294836300265667 ;\n",
+      "Epoch 680/1000, Cost: 2.7953\n",
+      " and the parameters are [-2.98515231  4.03825136] -5.294769346405449 ;\n",
+      "Epoch 680/1000, Cost: 1.7778\n",
+      " and the parameters are [-2.98517334  4.03823552] -5.294797572304724 ;\n",
+      "Epoch 680/1000, Cost: 3.0620\n",
+      " and the parameters are [-2.98516712  4.03825858] -5.294806259759073 ;\n",
+      "Epoch 680/1000, Cost: 2.1494\n",
+      " and the parameters are [-2.98517247  4.03822266] -5.294859337464824 ;\n",
+      "Epoch 680/1000, Cost: 2.7770\n",
+      " and the parameters are [-2.98521001  4.03825571] -5.2948404944022744 ;\n",
+      "Epoch 680/1000, Cost: 0.8863\n",
+      " and the parameters are [-2.98522335  4.03823607] -5.294868238713608 ;\n",
+      "Epoch 680/1000, Cost: 1.8871\n",
+      " and the parameters are [-2.98522786  4.0382775 ] -5.294853395990163 ;\n",
+      "Epoch 680/1000, Cost: 1.5935\n",
+      " and the parameters are [-2.98526531  4.03828714] -5.294847785705535 ;\n",
+      "Epoch 680/1000, Cost: 3.1776\n",
+      " and the parameters are [-2.98520484  4.03822135] -5.294957452863894 ;\n",
+      "Epoch 680/1000, Cost: 6.0939\n",
+      " and the parameters are [-2.98522753  4.03819285] -5.294955421467137 ;\n",
+      "Epoch 680/1000, Cost: 3.5315\n",
+      " and the parameters are [-2.98524318  4.03818763] -5.294963477920808 ;\n",
+      "Epoch 680/1000, Cost: 1.6899\n",
+      " and the parameters are [-2.98522346  4.03817328] -5.295010222906164 ;\n",
+      "Epoch 680/1000, Cost: 2.1469\n",
+      " and the parameters are [-2.98523774  4.03818464] -5.295019162356282 ;\n",
+      "Epoch 680/1000, Cost: 1.7589\n",
+      " and the parameters are [-2.98521991  4.03818509] -5.295054505616197 ;\n",
+      "Epoch 680/1000, Cost: 1.7827\n",
+      " and the parameters are [-2.98524848  4.03815651] -5.295080127510714 ;\n",
+      "Epoch 680/1000, Cost: 4.4190\n",
+      " and the parameters are [-2.98527927  4.03830966] -5.294960808627087 ;\n",
+      "Epoch 680/1000, Cost: 3.7236\n",
+      " and the parameters are [-2.98531558  4.0381992 ] -5.295044979911955 ;\n",
+      "Epoch 680/1000, Cost: 2.6663\n",
+      " and the parameters are [-2.98534253  4.03823597] -5.295031261568259 ;\n",
+      "Epoch 680/1000, Cost: 2.0926\n",
+      " and the parameters are [-2.98538966  4.03827017] -5.295007890520105 ;\n",
+      "Epoch 680/1000, Cost: 7.0853\n",
+      " and the parameters are [-2.98522891  4.0383727 ] -5.295013497238172 ;\n",
+      "Epoch 680/1000, Cost: 1.6225\n",
+      " and the parameters are [-2.98521825  4.03836747] -5.295051577931104 ;\n",
+      "Epoch 680/1000, Cost: 3.3165\n",
+      " and the parameters are [-2.98518807  4.03834808] -5.295118346223985 ;\n",
+      "Epoch 680/1000, Cost: 2.8010\n",
+      " and the parameters are [-2.98514973  4.038331  ] -5.2951776408324225 ;\n",
+      "Epoch 680/1000, Cost: 2.7802\n",
+      " and the parameters are [-2.98515881  4.03845447] -5.295117941724584 ;\n",
+      "Epoch 680/1000, Cost: 2.0136\n",
+      " and the parameters are [-2.98518533  4.03844434] -5.295139062260556 ;\n",
+      "Epoch 680/1000, Cost: 1.7740\n",
+      " and the parameters are [-2.98514715  4.03850071] -5.295139920555934 ;\n",
+      "Epoch 680/1000, Cost: 2.5159\n",
+      " and the parameters are [-2.98517838  4.03849229] -5.295160069580116 ;\n",
+      "Epoch 680/1000, Cost: 3.4557\n",
+      " and the parameters are [-2.98514772  4.03851435] -5.295173653346117 ;\n",
+      "Epoch 680/1000, Cost: 2.8253\n",
+      " and the parameters are [-2.98512481  4.03855239] -5.295177727607651 ;\n",
+      "Epoch 680/1000, Cost: 4.3626\n",
+      " and the parameters are [-2.98513227  4.03847597] -5.295237899863028 ;\n",
+      "Epoch 680/1000, Cost: 1.5394\n",
+      " and the parameters are [-2.98511467  4.03852697] -5.295234887167677 ;\n",
+      "Epoch 680/1000, Cost: 2.4393\n",
+      " and the parameters are [-2.98511099  4.03857378] -5.295233119070338 ;\n",
+      "Epoch 680/1000, Cost: 3.0695\n",
+      " and the parameters are [-2.98510255  4.03860579] -5.295235783847386 ;\n",
+      "Epoch 680/1000, Cost: 1.0408\n",
+      " and the parameters are [-2.98507772  4.03868623] -5.2952151240952565 ;\n",
+      "Epoch 680/1000, Cost: 3.7344\n",
+      " and the parameters are [-2.98510671  4.03868068] -5.295226703632578 ;\n",
+      "Epoch 680/1000, Cost: 4.7429\n",
+      " and the parameters are [-2.9851455   4.03864687] -5.295251803570714 ;\n",
+      "Epoch 680/1000, Cost: 9.8538\n",
+      " and the parameters are [-2.98527464  4.03843319] -5.295302497528492 ;\n",
+      "Epoch 680/1000, Cost: 2.1830\n",
+      " and the parameters are [-2.9852917   4.03841727] -5.295326406393867 ;\n",
+      "Epoch 680/1000, Cost: 2.5424\n",
+      " and the parameters are [-2.98519899  4.0384751 ] -5.295349645875827 ;\n",
+      "Epoch 680/1000, Cost: 1.6119\n",
+      " and the parameters are [-2.98522565  4.03848166] -5.295362933223961 ;\n",
+      "Epoch 680/1000, Cost: 2.4125\n",
+      " and the parameters are [-2.98525109  4.03844498] -5.295405929109523 ;\n",
+      "Epoch 680/1000, Cost: 3.0505\n",
+      " and the parameters are [-2.98524882  4.0384891 ] -5.295394914410366 ;\n",
+      "Epoch 680/1000, Cost: 6.2619\n",
+      " and the parameters are [-2.9852153   4.03849609] -5.2954027692820995 ;\n",
+      "Epoch 680/1000, Cost: 2.7839\n",
+      " and the parameters are [-2.98517151  4.03857969] -5.2953850459250775 ;\n",
+      "Epoch 680/1000, Cost: 1.7552\n",
+      " and the parameters are [-2.9852083   4.03855293] -5.295416326106393 ;\n",
+      "Epoch 680/1000, Cost: 3.3512\n",
+      " and the parameters are [-2.9851349   4.03868605] -5.295381317432411 ;\n",
+      "Epoch 680/1000, Cost: 2.2330\n",
+      " and the parameters are [-2.98518303  4.03862063] -5.295422727601672 ;\n",
+      "Epoch 680/1000, Cost: 5.0751\n",
+      " and the parameters are [-2.9852088   4.03870962] -5.29536439029548 ;\n",
+      "Epoch 680/1000, Cost: 1.3193\n",
+      " and the parameters are [-2.98524555  4.03867945] -5.295393599472255 ;\n",
+      "Epoch 680/1000, Cost: 4.9496\n",
+      " and the parameters are [-2.98535137  4.03856633] -5.295426012585259 ;\n",
+      "Epoch 680/1000, Cost: 3.3667\n",
+      " and the parameters are [-2.9853644   4.03853299] -5.2954730590158885 ;\n",
+      "Epoch 680/1000, Cost: 1.0247\n",
+      " and the parameters are [-2.98537112  4.0385773 ] -5.295449588252371 ;\n",
+      "Epoch 680/1000, Cost: 4.7760\n",
+      " and the parameters are [-2.98537141  4.03850688] -5.295521579859609 ;\n",
+      "Epoch 680/1000, Cost: 2.1542\n",
+      " and the parameters are [-2.98536935  4.03862551] -5.295454973437358 ;\n",
+      "Epoch 680/1000, Cost: 4.2954\n",
+      " and the parameters are [-2.98545742  4.03860575] -5.295440047061741 ;\n",
+      "Epoch 680/1000, Cost: 4.4984\n",
+      " and the parameters are [-2.98549911  4.03857246] -5.295458829502938 ;\n",
+      "Epoch 680/1000, Cost: 3.3911\n",
+      " and the parameters are [-2.98556711  4.03850566] -5.295498970089 ;\n",
+      "Epoch 680/1000, Cost: 5.1037\n",
+      " and the parameters are [-2.98567914  4.0383848 ] -5.295522105933751 ;\n",
+      "Epoch 680/1000, Cost: 8.4186\n",
+      " and the parameters are [-2.98566467  4.03847584] -5.295422122161223 ;\n",
+      "Epoch 680/1000, Cost: 2.1962\n",
+      " and the parameters are [-2.98573353  4.03844516] -5.295427644214021 ;\n",
+      "Epoch 680/1000, Cost: 5.1019\n",
+      " and the parameters are [-2.9857819   4.03836427] -5.295463630885728 ;\n",
+      "Epoch 680/1000, Cost: 2.9451\n",
+      " and the parameters are [-2.98581567  4.03835239] -5.295493707117235 ;\n",
+      "Epoch 680/1000, Cost: 2.5788\n",
+      " and the parameters are [-2.98582565  4.03841362] -5.295451138510017 ;\n",
+      "Epoch 680/1000, Cost: 3.7589\n",
+      " and the parameters are [-2.98586059  4.03833428] -5.2955159786001955 ;\n",
+      "Epoch 680/1000, Cost: 2.1883\n",
+      " and the parameters are [-2.98583483  4.03841963] -5.295484037854882 ;\n",
+      "Epoch 680/1000, Cost: 3.7728\n",
+      " and the parameters are [-2.98587981  4.03832752] -5.295555394423536 ;\n",
+      "Epoch 680/1000, Cost: 5.0196\n",
+      " and the parameters are [-2.98587186  4.03833855] -5.295557694992268 ;\n",
+      "Epoch 680/1000, Cost: 11.3781\n",
+      " and the parameters are [-2.98594036  4.03828962] -5.295510862959596 ;\n",
+      "Epoch 680/1000, Cost: 3.0636\n",
+      " and the parameters are [-2.98598207  4.03817518] -5.295596390592781 ;\n",
+      "Epoch 680/1000, Cost: 4.1600\n",
+      " and the parameters are [-2.98599044  4.03815714] -5.295625371012053 ;\n",
+      "Epoch 680/1000, Cost: 1.2160\n",
+      " and the parameters are [-2.98597708  4.03819627] -5.295627567789095 ;\n",
+      "Epoch 680/1000, Cost: 1.2141\n",
+      " and the parameters are [-2.98597982  4.03818163] -5.295653861304098 ;\n",
+      "Epoch 680/1000, Cost: 2.3487\n",
+      " and the parameters are [-2.98591406  4.03829152] -5.295632008112138 ;\n",
+      "Epoch 680/1000, Cost: 2.0216\n",
+      " and the parameters are [-2.98591541  4.03835658] -5.295611433583195 ;\n",
+      "Epoch 680/1000, Cost: 2.3340\n",
+      " and the parameters are [-2.98591221  4.03831993] -5.295668467419581 ;\n",
+      "Epoch 680/1000, Cost: 1.2902\n",
+      " and the parameters are [-2.98589243  4.03835346] -5.295678115535178 ;\n",
+      "Epoch 680/1000, Cost: 2.8188\n",
+      " and the parameters are [-2.98586268  4.03834365] -5.295721998012533 ;\n",
+      "Epoch 680/1000, Cost: 4.6922\n",
+      " and the parameters are [-2.9859563   4.03825022] -5.295758874453314 ;\n",
+      "Epoch 680/1000, Cost: 1.5496\n",
+      " and the parameters are [-2.98598651  4.03820497] -5.295808919578427 ;\n",
+      "Epoch 680/1000, Cost: 3.0556\n",
+      " and the parameters are [-2.98605343  4.03824035] -5.29576169812277 ;\n",
+      "Epoch 680/1000, Cost: 1.2860\n",
+      " and the parameters are [-2.98606686  4.03825472] -5.295773301562472 ;\n",
+      "Epoch 680/1000, Cost: 1.9763\n",
+      " and the parameters are [-2.98605699  4.0382956 ] -5.295779282924194 ;\n",
+      "Epoch 680/1000, Cost: 3.2699\n",
+      " and the parameters are [-2.9860436   4.03830427] -5.29580138989669 ;\n",
+      "Epoch 680/1000, Cost: 3.4019\n",
+      " and the parameters are [-2.98607383  4.03821716] -5.295873560803576 ;\n",
+      "Epoch 680/1000, Cost: 1.4639\n",
+      " and the parameters are [-2.98606345  4.03824928] -5.2958741035017685 ;\n",
+      "Epoch 680/1000, Cost: 3.0180\n",
+      " and the parameters are [-2.98607258  4.03821417] -5.295915320476484 ;\n",
+      "Epoch 680/1000, Cost: 3.2969\n",
+      " and the parameters are [-2.98596296  4.0381893 ] -5.296005852084537 ;\n",
+      "Epoch 680/1000, Cost: 3.0804\n",
+      " and the parameters are [-2.98591912  4.03835465] -5.295922397832975 ;\n",
+      "Epoch 680/1000, Cost: 8.0020\n",
+      " and the parameters are [-2.98598584  4.03820892] -5.2960055658554115 ;\n",
+      "Epoch 680/1000, Cost: 3.1451\n",
+      " and the parameters are [-2.98593324  4.03826759] -5.296012213505895 ;\n",
+      "Epoch 680/1000, Cost: 2.6280\n",
+      " and the parameters are [-2.98588244  4.03841745] -5.295954281185079 ;\n",
+      "Epoch 680/1000, Cost: 3.3779\n",
+      " and the parameters are [-2.98586528  4.03852597] -5.295903615759751 ;\n",
+      "Epoch 680/1000, Cost: 2.3452\n",
+      " and the parameters are [-2.9858893   4.03847199] -5.295971372206606 ;\n",
+      "Epoch 680/1000, Cost: 1.1342\n",
+      " and the parameters are [-2.9859139  4.038444 ] -5.29599730658721 ;\n",
+      "Epoch 680/1000, Cost: 3.0720\n",
+      " and the parameters are [-2.98597154  4.03842586] -5.2960183221961055 ;\n",
+      "Epoch 680/1000, Cost: 3.8269\n",
+      " and the parameters are [-2.98596777  4.03844886] -5.296015279795831 ;\n",
+      "Epoch 680/1000, Cost: 2.5642\n",
+      " and the parameters are [-2.98599668  4.03840494] -5.29605490954483 ;\n",
+      "Epoch 680/1000, Cost: 4.8044\n",
+      " and the parameters are [-2.98593567  4.0383978 ] -5.296112724681437 ;\n",
+      "Epoch 680/1000, Cost: 6.8822\n",
+      " and the parameters are [-2.98597304  4.03833   ] -5.296135418598642 ;\n",
+      "Epoch 680/1000, Cost: 1.7753\n",
+      " and the parameters are [-2.98594318  4.038356  ] -5.296159565390634 ;\n",
+      "Epoch 680/1000, Cost: 3.1935\n",
+      " and the parameters are [-2.98595973  4.03840892] -5.296118750812857 ;\n",
+      "Epoch 680/1000, Cost: 3.9577\n",
+      " and the parameters are [-2.98601056  4.03834112] -5.296161763575129 ;\n",
+      "Epoch 680/1000, Cost: 3.4740\n",
+      " and the parameters are [-2.98604182  4.0383432 ] -5.296165610861916 ;\n",
+      "Epoch 680/1000, Cost: 5.4948\n",
+      " and the parameters are [-2.98610451  4.03849168] -5.296033395589971 ;\n",
+      "Epoch 680/1000, Cost: 1.6024\n",
+      " and the parameters are [-2.98610777  4.03852117] -5.296034226934476 ;\n",
+      "Epoch 680/1000, Cost: 2.8171\n",
+      " and the parameters are [-2.98611554  4.03856461] -5.296019113381235 ;\n",
+      "Epoch 680/1000, Cost: 5.1881\n",
+      " and the parameters are [-2.98616903  4.03857112] -5.295998655571854 ;\n",
+      "Epoch 680/1000, Cost: 0.9133\n",
+      " and the parameters are [-2.98617645  4.03857432] -5.296014209285453 ;\n",
+      "Epoch 680/1000, Cost: 3.4381\n",
+      " and the parameters are [-2.98617772  4.03853597] -5.296049744510623 ;\n",
+      "Epoch 680/1000, Cost: 5.2110\n",
+      " and the parameters are [-2.98608358  4.03852248] -5.296119153577015 ;\n",
+      "Epoch 680/1000, Cost: 2.0684\n",
+      " and the parameters are [-2.98608203  4.03855711] -5.296121406525369 ;\n",
+      "Epoch 680/1000, Cost: 5.6313\n",
+      " and the parameters are [-2.98601395  4.03853653] -5.296179972600368 ;\n",
+      "Epoch 680/1000, Cost: 2.3227\n",
+      " and the parameters are [-2.98596894  4.03860939] -5.29618089139096 ;\n",
+      "Epoch 680/1000, Cost: 4.8242\n",
+      " and the parameters are [-2.9859097   4.03873414] -5.296117305826502 ;\n",
+      "Epoch 680/1000, Cost: 2.0316\n",
+      " and the parameters are [-2.98592219  4.03877396] -5.296114136224488 ;\n",
+      "Epoch 680/1000, Cost: 4.1067\n",
+      " and the parameters are [-2.98599337  4.03864699] -5.296193164949732 ;\n",
+      "Epoch 680/1000, Cost: 8.1569\n",
+      " and the parameters are [-2.98599743  4.03843529] -5.296330425689058 ;\n",
+      "Epoch 680/1000, Cost: 1.3694\n",
+      " and the parameters are [-2.98600759  4.03848588] -5.2963065088497885 ;\n",
+      "Epoch 680/1000, Cost: 1.1221\n",
+      " and the parameters are [-2.98599945  4.03854933] -5.296285927001952 ;\n",
+      "Epoch 680/1000, Cost: 3.0403\n",
+      " and the parameters are [-2.98599429  4.03847455] -5.296365694992601 ;\n",
+      "Epoch 680/1000, Cost: 1.7492\n",
+      " and the parameters are [-2.98600386  4.03849222] -5.2963731897968405 ;\n",
+      "Epoch 680/1000, Cost: 3.0919\n",
+      " and the parameters are [-2.98605757  4.03850123] -5.296356816475454 ;\n",
+      "Epoch 680/1000, Cost: 1.9518\n",
+      " and the parameters are [-2.98613195  4.03847566] -5.296359346309118 ;\n",
+      "Epoch 680/1000, Cost: 2.8764\n",
+      " and the parameters are [-2.98611394  4.03843755] -5.296417737054758 ;\n",
+      "Epoch 680/1000, Cost: 2.1222\n",
+      " and the parameters are [-2.98610509  4.03847949] -5.296424303954856 ;\n",
+      "Epoch 680/1000, Cost: 5.0729\n",
+      " and the parameters are [-2.98597727  4.03858918] -5.296413885531968 ;\n",
+      "Epoch 680/1000, Cost: 3.4681\n",
+      " and the parameters are [-2.98601986  4.03858148] -5.296415031794624 ;\n",
+      "Epoch 680/1000, Cost: 3.6231\n",
+      " and the parameters are [-2.98599722  4.03870299] -5.296354660288303 ;\n",
+      "Epoch 680/1000, Cost: 0.9097\n",
+      " and the parameters are [-2.98600817  4.03873075] -5.296351077454641 ;\n",
+      "Epoch 680/1000, Cost: 1.4377\n",
+      " and the parameters are [-2.98599379  4.03877067] -5.296362845417701 ;\n",
+      "Epoch 680/1000, Cost: 1.9092\n",
+      " and the parameters are [-2.98607096  4.03867936] -5.296404214696193 ;\n",
+      "Epoch 680/1000, Cost: 1.8195\n",
+      " and the parameters are [-2.98602724  4.03873955] -5.296414683377384 ;\n",
+      "Epoch 680/1000, Cost: 2.3994\n",
+      " and the parameters are [-2.98603778  4.03878599] -5.296398362697187 ;\n",
+      "Epoch 680/1000, Cost: 1.7940\n",
+      " and the parameters are [-2.98604623  4.03879736] -5.296412772577052 ;\n",
+      "Epoch 680/1000, Cost: 6.9045\n",
+      " and the parameters are [-2.98601136  4.03873564] -5.296468858952164 ;\n",
+      "Epoch 680/1000, Cost: 2.5616\n",
+      " and the parameters are [-2.98597543  4.03889579] -5.29639632402006 ;\n",
+      "Epoch 680/1000, Cost: 1.5381\n",
+      " and the parameters are [-2.98596402  4.03898308] -5.296355024185965 ;\n",
+      "Epoch 680/1000, Cost: 1.9077\n",
+      " and the parameters are [-2.98598954  4.03896409] -5.296392898561499 ;\n",
+      "Epoch 680/1000, Cost: 3.1418\n",
+      " and the parameters are [-2.98595276  4.03911171] -5.296322836233521 ;\n",
+      "Epoch 680/1000, Cost: 2.2396\n",
+      " and the parameters are [-2.98602035  4.03909032] -5.296322646651182 ;\n",
+      "Epoch 680/1000, Cost: 5.3833\n",
+      " and the parameters are [-2.98598556  4.03911615] -5.29633960669425 ;\n",
+      "Epoch 680/1000, Cost: 2.2910\n",
+      " and the parameters are [-2.98596662  4.0391644 ] -5.296340936904259 ;\n",
+      "Epoch 680/1000, Cost: 3.8289\n",
+      " and the parameters are [-2.98597389  4.03919072] -5.296341385972662 ;\n",
+      "Epoch 680/1000, Cost: 1.4603\n",
+      " and the parameters are [-2.98604555  4.03916807] -5.296337676972836 ;\n",
+      "Epoch 680/1000, Cost: 2.2886\n",
+      " and the parameters are [-2.9860484   4.03912191] -5.296407164792594 ;\n",
+      "Epoch 680/1000, Cost: 2.4527\n",
+      " and the parameters are [-2.98612716  4.03915982] -5.296356392215195 ;\n",
+      "Epoch 680/1000, Cost: 2.3348\n",
+      " and the parameters are [-2.98611043  4.03925402] -5.29632425780522 ;\n",
+      "Epoch 680/1000, Cost: 2.1437\n",
+      " and the parameters are [-2.98613454  4.03932016] -5.296297784584685 ;\n",
+      "Epoch 680/1000, Cost: 2.6634\n",
+      " and the parameters are [-2.9861594   4.03931005] -5.296321331159725 ;\n",
+      "Epoch 680/1000, Cost: 2.1742\n",
+      " and the parameters are [-2.98617905  4.03938161] -5.2962818185790566 ;\n",
+      "Epoch 680/1000, Cost: 3.9072\n",
+      " and the parameters are [-2.98611023  4.03940815] -5.2963030004995355 ;\n",
+      "Epoch 680/1000, Cost: 3.4367\n",
+      " and the parameters are [-2.98609284  4.0394364 ] -5.296304286966639 ;\n",
+      "Epoch 680/1000, Cost: 2.9259\n",
+      " and the parameters are [-2.98611045  4.03937152] -5.296359773934992 ;\n",
+      "Epoch 680/1000, Cost: 3.6979\n",
+      " and the parameters are [-2.98615436  4.03951522] -5.29624146070109 ;\n",
+      "Epoch 680/1000, Cost: 5.9257\n",
+      " and the parameters are [-2.98615981  4.03955869] -5.296194769964108 ;\n",
+      "Epoch 680/1000, Cost: 3.2040\n",
+      " and the parameters are [-2.98612295  4.03956847] -5.2962245232675365 ;\n",
+      "Epoch 680/1000, Cost: 2.4601\n",
+      " and the parameters are [-2.98612946  4.03962611] -5.296181048568998 ;\n",
+      "Epoch 690/1000, Cost: 1.6603\n",
+      " and the parameters are [-2.99665508  4.05279826] -5.314981661025025 ;\n",
+      "Epoch 690/1000, Cost: 4.7336\n",
+      " and the parameters are [-2.9966504   4.05268752] -5.315083884614501 ;\n",
+      "Epoch 690/1000, Cost: 2.6348\n",
+      " and the parameters are [-2.99664005  4.05278462] -5.3150333313099996 ;\n",
+      "Epoch 690/1000, Cost: 2.1275\n",
+      " and the parameters are [-2.99662206  4.0528438 ] -5.315022976932066 ;\n",
+      "Epoch 690/1000, Cost: 1.4888\n",
+      " and the parameters are [-2.99666474  4.0528546 ] -5.315019020345748 ;\n",
+      "Epoch 690/1000, Cost: 3.9928\n",
+      " and the parameters are [-2.99670901  4.0528332 ] -5.315025801342272 ;\n",
+      "Epoch 690/1000, Cost: 2.3777\n",
+      " and the parameters are [-2.99674287  4.05280099] -5.315052694540077 ;\n",
+      "Epoch 690/1000, Cost: 6.0638\n",
+      " and the parameters are [-2.99686543  4.05258053] -5.315154132505549 ;\n",
+      "Epoch 690/1000, Cost: 1.7640\n",
+      " and the parameters are [-2.99683148  4.05260917] -5.315178297108414 ;\n",
+      "Epoch 690/1000, Cost: 5.2751\n",
+      " and the parameters are [-2.99678357  4.05264119] -5.315197426187672 ;\n",
+      "Epoch 690/1000, Cost: 4.3467\n",
+      " and the parameters are [-2.99678818  4.05267978] -5.315185916463484 ;\n",
+      "Epoch 690/1000, Cost: 2.6852\n",
+      " and the parameters are [-2.99677308  4.05277854] -5.315140593821261 ;\n",
+      "Epoch 690/1000, Cost: 4.7205\n",
+      " and the parameters are [-2.99687033  4.0525959 ] -5.315246775259467 ;\n",
+      "Epoch 690/1000, Cost: 1.3493\n",
+      " and the parameters are [-2.99688541  4.05262042] -5.315245001247857 ;\n",
+      "Epoch 690/1000, Cost: 2.0892\n",
+      " and the parameters are [-2.99689092  4.05267864] -5.3152300849526775 ;\n",
+      "Epoch 690/1000, Cost: 1.4879\n",
+      " and the parameters are [-2.99691269  4.05268277] -5.315241585766077 ;\n",
+      "Epoch 690/1000, Cost: 2.6500\n",
+      " and the parameters are [-2.99694316  4.05269406] -5.315242112184897 ;\n",
+      "Epoch 690/1000, Cost: 3.8819\n",
+      " and the parameters are [-2.99690664  4.05271562] -5.315274629130259 ;\n",
+      "Epoch 690/1000, Cost: 1.9714\n",
+      " and the parameters are [-2.99694381  4.05270483] -5.315293157957841 ;\n",
+      "Epoch 690/1000, Cost: 1.4563\n",
+      " and the parameters are [-2.99694402  4.05272781] -5.315303337181505 ;\n",
+      "Epoch 690/1000, Cost: 1.8716\n",
+      " and the parameters are [-2.99695572  4.05267767] -5.315352591067738 ;\n",
+      "Epoch 690/1000, Cost: 3.9231\n",
+      " and the parameters are [-2.99699363  4.0526604 ] -5.315352859441388 ;\n",
+      "Epoch 690/1000, Cost: 1.1748\n",
+      " and the parameters are [-2.99699187  4.05272463] -5.315332115593472 ;\n",
+      "Epoch 690/1000, Cost: 1.6671\n",
+      " and the parameters are [-2.99700299  4.05277721] -5.315313180039611 ;\n",
+      "Epoch 690/1000, Cost: 2.9197\n",
+      " and the parameters are [-2.99692368  4.05280101] -5.315371358851833 ;\n",
+      "Epoch 690/1000, Cost: 1.5476\n",
+      " and the parameters are [-2.99693855  4.0527927 ] -5.315397276305664 ;\n",
+      "Epoch 690/1000, Cost: 2.6801\n",
+      " and the parameters are [-2.99692163  4.05280337] -5.315418512284817 ;\n",
+      "Epoch 690/1000, Cost: 2.4160\n",
+      " and the parameters are [-2.99688072  4.05283294] -5.315450916982086 ;\n",
+      "Epoch 690/1000, Cost: 2.8206\n",
+      " and the parameters are [-2.99688221  4.05292346] -5.315393750333639 ;\n",
+      "Epoch 690/1000, Cost: 4.7350\n",
+      " and the parameters are [-2.99687123  4.05287161] -5.3154484534387745 ;\n",
+      "Epoch 690/1000, Cost: 2.0608\n",
+      " and the parameters are [-2.99684738  4.05289161] -5.315468638094268 ;\n",
+      "Epoch 690/1000, Cost: 1.8426\n",
+      " and the parameters are [-2.996908    4.05291005] -5.315458205974981 ;\n",
+      "Epoch 690/1000, Cost: 1.5362\n",
+      " and the parameters are [-2.99692663  4.05293305] -5.315462744277817 ;\n",
+      "Epoch 690/1000, Cost: 1.4775\n",
+      " and the parameters are [-2.996913    4.05295315] -5.315475848615505 ;\n",
+      "Epoch 690/1000, Cost: 2.0228\n",
+      " and the parameters are [-2.99688528  4.05305603] -5.3154467113448876 ;\n",
+      "Epoch 690/1000, Cost: 2.7991\n",
+      " and the parameters are [-2.99677143  4.05316011] -5.315459883003698 ;\n",
+      "Epoch 690/1000, Cost: 1.3128\n",
+      " and the parameters are [-2.99674448  4.05318604] -5.315479477532742 ;\n",
+      "Epoch 690/1000, Cost: 5.1078\n",
+      " and the parameters are [-2.99678276  4.0531787 ] -5.315448139256727 ;\n",
+      "Epoch 690/1000, Cost: 1.3322\n",
+      " and the parameters are [-2.996781    4.05322687] -5.315442445720949 ;\n",
+      "Epoch 690/1000, Cost: 0.9079\n",
+      " and the parameters are [-2.99677378  4.0533068 ] -5.315410872803129 ;\n",
+      "Epoch 690/1000, Cost: 0.9104\n",
+      " and the parameters are [-2.99677358  4.05331196] -5.315429397393187 ;\n",
+      "Epoch 690/1000, Cost: 1.4916\n",
+      " and the parameters are [-2.99677391  4.05333747] -5.315438204407356 ;\n",
+      "Epoch 690/1000, Cost: 4.2321\n",
+      " and the parameters are [-2.99692133  4.05321686] -5.315468372008028 ;\n",
+      "Epoch 690/1000, Cost: 3.3213\n",
+      " and the parameters are [-2.99699671  4.05310308] -5.315531048059843 ;\n",
+      "Epoch 690/1000, Cost: 5.4965\n",
+      " and the parameters are [-2.99700782  4.05303399] -5.315559764934686 ;\n",
+      "Epoch 690/1000, Cost: 2.0080\n",
+      " and the parameters are [-2.9969983   4.05312216] -5.315528382966243 ;\n",
+      "Epoch 690/1000, Cost: 1.8692\n",
+      " and the parameters are [-2.99696314  4.05317368] -5.3155331053921655 ;\n",
+      "Epoch 690/1000, Cost: 4.6321\n",
+      " and the parameters are [-2.99691057  4.05319171] -5.31555582828542 ;\n",
+      "Epoch 690/1000, Cost: 8.2731\n",
+      " and the parameters are [-2.99687687  4.05324619] -5.315507952542127 ;\n",
+      "Epoch 690/1000, Cost: 1.5789\n",
+      " and the parameters are [-2.99684807  4.05329023] -5.315513906341977 ;\n",
+      "Epoch 690/1000, Cost: 2.9657\n",
+      " and the parameters are [-2.9969056   4.05326556] -5.315525999646205 ;\n",
+      "Epoch 690/1000, Cost: 3.4519\n",
+      " and the parameters are [-2.99693671  4.05330099] -5.315491918976415 ;\n",
+      "Epoch 690/1000, Cost: 3.1673\n",
+      " and the parameters are [-2.99696601  4.05316634] -5.315605053613672 ;\n",
+      "Epoch 690/1000, Cost: 3.8060\n",
+      " and the parameters are [-2.99697671  4.05320135] -5.315589635560204 ;\n",
+      "Epoch 690/1000, Cost: 5.2884\n",
+      " and the parameters are [-2.99688294  4.05326979] -5.315594251981132 ;\n",
+      "Epoch 690/1000, Cost: 1.8918\n",
+      " and the parameters are [-2.99685303  4.05333899] -5.315586731161384 ;\n",
+      "Epoch 690/1000, Cost: 2.1859\n",
+      " and the parameters are [-2.99683105  4.05340736] -5.315571636905002 ;\n",
+      "Epoch 690/1000, Cost: 1.7517\n",
+      " and the parameters are [-2.99685126  4.05338532] -5.315604152911533 ;\n",
+      "Epoch 690/1000, Cost: 7.6148\n",
+      " and the parameters are [-2.99704379  4.05319752] -5.3156290308467815 ;\n",
+      "Epoch 690/1000, Cost: 2.1748\n",
+      " and the parameters are [-2.99708348  4.05317609] -5.315646507136899 ;\n",
+      "Epoch 690/1000, Cost: 2.0378\n",
+      " and the parameters are [-2.99707018  4.05327863] -5.315596246784034 ;\n",
+      "Epoch 690/1000, Cost: 1.9810\n",
+      " and the parameters are [-2.99713256  4.0532743 ] -5.315594976033443 ;\n",
+      "Epoch 690/1000, Cost: 2.2297\n",
+      " and the parameters are [-2.99714739  4.05319585] -5.315676532855723 ;\n",
+      "Epoch 690/1000, Cost: 0.9109\n",
+      " and the parameters are [-2.99716666  4.05321886] -5.3156711661603975 ;\n",
+      "Epoch 690/1000, Cost: 3.0484\n",
+      " and the parameters are [-2.99717453  4.05332683] -5.315610908577778 ;\n",
+      "Epoch 690/1000, Cost: 1.3710\n",
+      " and the parameters are [-2.99720996  4.05327446] -5.3156533287519805 ;\n",
+      "Epoch 690/1000, Cost: 2.3578\n",
+      " and the parameters are [-2.99719596  4.05333494] -5.31563272148516 ;\n",
+      "Epoch 690/1000, Cost: 2.4809\n",
+      " and the parameters are [-2.99722291  4.05332647] -5.3156430120158396 ;\n",
+      "Epoch 690/1000, Cost: 3.8547\n",
+      " and the parameters are [-2.99728917  4.05335939] -5.315603711476656 ;\n",
+      "Epoch 690/1000, Cost: 1.4903\n",
+      " and the parameters are [-2.99730769  4.05338835] -5.315600990656624 ;\n",
+      "Epoch 690/1000, Cost: 8.0610\n",
+      " and the parameters are [-2.99729435  4.05330093] -5.315652792140184 ;\n",
+      "Epoch 690/1000, Cost: 2.1236\n",
+      " and the parameters are [-2.99732307  4.05325789] -5.315691899585031 ;\n",
+      "Epoch 690/1000, Cost: 1.3330\n",
+      " and the parameters are [-2.99737878  4.05327837] -5.315669020374566 ;\n",
+      "Epoch 690/1000, Cost: 1.6765\n",
+      " and the parameters are [-2.99740056  4.0532851 ] -5.315675696664018 ;\n",
+      "Epoch 690/1000, Cost: 1.0695\n",
+      " and the parameters are [-2.99736445  4.05332154] -5.315692127495974 ;\n",
+      "Epoch 690/1000, Cost: 5.8920\n",
+      " and the parameters are [-2.99737617  4.05328512] -5.315719822241209 ;\n",
+      "Epoch 690/1000, Cost: 1.2702\n",
+      " and the parameters are [-2.99739968  4.05332048] -5.315706584295452 ;\n",
+      "Epoch 690/1000, Cost: 1.4005\n",
+      " and the parameters are [-2.99739395  4.05333532] -5.31572204260704 ;\n",
+      "Epoch 690/1000, Cost: 2.0118\n",
+      " and the parameters are [-2.99741218  4.05331062] -5.315760233403859 ;\n",
+      "Epoch 690/1000, Cost: 1.8829\n",
+      " and the parameters are [-2.9973899   4.05331396] -5.315786635651977 ;\n",
+      "Epoch 690/1000, Cost: 7.1203\n",
+      " and the parameters are [-2.99739526  4.05335729] -5.315745439463253 ;\n",
+      "Epoch 690/1000, Cost: 2.8047\n",
+      " and the parameters are [-2.99739767  4.05333991] -5.315774738858696 ;\n",
+      "Epoch 690/1000, Cost: 2.5790\n",
+      " and the parameters are [-2.9973981   4.05333045] -5.315805501229846 ;\n",
+      "Epoch 690/1000, Cost: 2.1482\n",
+      " and the parameters are [-2.99741923  4.05337579] -5.315781966346042 ;\n",
+      "Epoch 690/1000, Cost: 1.4579\n",
+      " and the parameters are [-2.99746418  4.05332178] -5.315823814481864 ;\n",
+      "Epoch 690/1000, Cost: 2.4636\n",
+      " and the parameters are [-2.99750265  4.0532204 ] -5.315905229108049 ;\n",
+      "Epoch 690/1000, Cost: 2.6638\n",
+      " and the parameters are [-2.99748651  4.05328792] -5.315890059036497 ;\n",
+      "Epoch 690/1000, Cost: 2.8372\n",
+      " and the parameters are [-2.99753179  4.0533118 ] -5.315865625344977 ;\n",
+      "Epoch 690/1000, Cost: 2.5288\n",
+      " and the parameters are [-2.997529    4.05324267] -5.315948342233847 ;\n",
+      "Epoch 690/1000, Cost: 1.5141\n",
+      " and the parameters are [-2.99758263  4.05324096] -5.315948478030464 ;\n",
+      "Epoch 690/1000, Cost: 1.5414\n",
+      " and the parameters are [-2.99757257  4.05327449] -5.31596023156143 ;\n",
+      "Epoch 690/1000, Cost: 1.4915\n",
+      " and the parameters are [-2.997595    4.05328792] -5.315965505576709 ;\n",
+      "Epoch 690/1000, Cost: 1.1812\n",
+      " and the parameters are [-2.99759755  4.0532807 ] -5.315996710704651 ;\n",
+      "Epoch 690/1000, Cost: 1.9437\n",
+      " and the parameters are [-2.99761375  4.05324795] -5.316031669683175 ;\n",
+      "Epoch 690/1000, Cost: 3.8747\n",
+      " and the parameters are [-2.99757368  4.05318975] -5.316102536793896 ;\n",
+      "Epoch 690/1000, Cost: 8.7331\n",
+      " and the parameters are [-2.99744783  4.05319946] -5.316114539070787 ;\n",
+      "Epoch 690/1000, Cost: 3.1504\n",
+      " and the parameters are [-2.99742077  4.05315451] -5.316186715139929 ;\n",
+      "Epoch 690/1000, Cost: 1.4774\n",
+      " and the parameters are [-2.99741528  4.0531642 ] -5.316207011303008 ;\n",
+      "Epoch 690/1000, Cost: 4.2826\n",
+      " and the parameters are [-2.99727232  4.05326924] -5.316244021504987 ;\n",
+      "Epoch 690/1000, Cost: 5.7302\n",
+      " and the parameters are [-2.99727621  4.05326935] -5.3162687647432065 ;\n",
+      "Epoch 690/1000, Cost: 1.8902\n",
+      " and the parameters are [-2.99722507  4.05339029] -5.316237745096366 ;\n",
+      "Epoch 690/1000, Cost: 3.5080\n",
+      " and the parameters are [-2.99726653  4.05325197] -5.316342306478929 ;\n",
+      "Epoch 690/1000, Cost: 3.3178\n",
+      " and the parameters are [-2.99720463  4.0533968 ] -5.316292891064244 ;\n",
+      "Epoch 690/1000, Cost: 2.5753\n",
+      " and the parameters are [-2.99710887  4.05355268] -5.316250048049059 ;\n",
+      "Epoch 690/1000, Cost: 2.2805\n",
+      " and the parameters are [-2.99712919  4.05358158] -5.316243968956957 ;\n",
+      "Epoch 690/1000, Cost: 5.3554\n",
+      " and the parameters are [-2.99710026  4.05376703] -5.3161414862264005 ;\n",
+      "Epoch 690/1000, Cost: 4.3834\n",
+      " and the parameters are [-2.9971705   4.05364787] -5.316198735419837 ;\n",
+      "Epoch 690/1000, Cost: 1.7037\n",
+      " and the parameters are [-2.99714283  4.05369212] -5.316210544548367 ;\n",
+      "Epoch 690/1000, Cost: 4.2761\n",
+      " and the parameters are [-2.99725856  4.05361544] -5.316205181074861 ;\n",
+      "Epoch 690/1000, Cost: 1.3856\n",
+      " and the parameters are [-2.99727202  4.05361863] -5.316220610422598 ;\n",
+      "Epoch 690/1000, Cost: 2.8221\n",
+      " and the parameters are [-2.99733806  4.0536185 ] -5.316204152199661 ;\n",
+      "Epoch 690/1000, Cost: 2.1068\n",
+      " and the parameters are [-2.99735629  4.05369121] -5.316174765413919 ;\n",
+      "Epoch 690/1000, Cost: 4.4358\n",
+      " and the parameters are [-2.99741192  4.05360982] -5.316225797525671 ;\n",
+      "Epoch 690/1000, Cost: 2.6881\n",
+      " and the parameters are [-2.99736807  4.05367252] -5.316237714953248 ;\n",
+      "Epoch 690/1000, Cost: 4.5752\n",
+      " and the parameters are [-2.99726007  4.05363173] -5.316318430092949 ;\n",
+      "Epoch 690/1000, Cost: 1.6371\n",
+      " and the parameters are [-2.99730943  4.05365317] -5.316297851636421 ;\n",
+      "Epoch 690/1000, Cost: 5.1151\n",
+      " and the parameters are [-2.99722755  4.05355239] -5.316435318847719 ;\n",
+      "Epoch 690/1000, Cost: 2.6500\n",
+      " and the parameters are [-2.99720373  4.05361972] -5.316423067037915 ;\n",
+      "Epoch 690/1000, Cost: 5.7391\n",
+      " and the parameters are [-2.99717863  4.05359743] -5.316471692959037 ;\n",
+      "Epoch 690/1000, Cost: 2.1343\n",
+      " and the parameters are [-2.99715728  4.05364891] -5.316476767357848 ;\n",
+      "Epoch 690/1000, Cost: 10.6881\n",
+      " and the parameters are [-2.99726178  4.05366416] -5.31635976257773 ;\n",
+      "Epoch 690/1000, Cost: 3.3000\n",
+      " and the parameters are [-2.99725002  4.05372349] -5.316345382387006 ;\n",
+      "Epoch 690/1000, Cost: 2.1131\n",
+      " and the parameters are [-2.99722778  4.05381159] -5.316325908178224 ;\n",
+      "Epoch 690/1000, Cost: 2.4217\n",
+      " and the parameters are [-2.99722106  4.05385898] -5.316324617501733 ;\n",
+      "Epoch 690/1000, Cost: 3.5535\n",
+      " and the parameters are [-2.99720203  4.0538571 ] -5.316350028453343 ;\n",
+      "Epoch 690/1000, Cost: 5.8019\n",
+      " and the parameters are [-2.99722354  4.05389005] -5.316308356565179 ;\n",
+      "Epoch 690/1000, Cost: 2.5068\n",
+      " and the parameters are [-2.99722075  4.05393729] -5.31630526013887 ;\n",
+      "Epoch 690/1000, Cost: 3.6545\n",
+      " and the parameters are [-2.99719656  4.05403834] -5.316270339037542 ;\n",
+      "Epoch 690/1000, Cost: 1.8285\n",
+      " and the parameters are [-2.99718461  4.05411208] -5.316255105832773 ;\n",
+      "Epoch 690/1000, Cost: 2.3357\n",
+      " and the parameters are [-2.99727043  4.05409685] -5.316243076422921 ;\n",
+      "Epoch 690/1000, Cost: 2.1835\n",
+      " and the parameters are [-2.99729213  4.05416872] -5.316194732768016 ;\n",
+      "Epoch 690/1000, Cost: 1.9489\n",
+      " and the parameters are [-2.99730208  4.05416539] -5.316214061355928 ;\n",
+      "Epoch 690/1000, Cost: 1.5969\n",
+      " and the parameters are [-2.99733356  4.05421119] -5.316189039413849 ;\n",
+      "Epoch 690/1000, Cost: 3.7344\n",
+      " and the parameters are [-2.99734213  4.05423015] -5.31617363049996 ;\n",
+      "Epoch 690/1000, Cost: 3.6395\n",
+      " and the parameters are [-2.99738046  4.05421923] -5.316166144995537 ;\n",
+      "Epoch 690/1000, Cost: 1.2449\n",
+      " and the parameters are [-2.99742012  4.05419997] -5.316185601727129 ;\n",
+      "Epoch 690/1000, Cost: 5.7222\n",
+      " and the parameters are [-2.99737736  4.0542291 ] -5.316181499395427 ;\n",
+      "Epoch 690/1000, Cost: 5.9902\n",
+      " and the parameters are [-2.99737545  4.05411796] -5.316258757454639 ;\n",
+      "Epoch 690/1000, Cost: 5.9095\n",
+      " and the parameters are [-2.99730556  4.05410537] -5.316315546202228 ;\n",
+      "Epoch 690/1000, Cost: 5.8114\n",
+      " and the parameters are [-2.99723214  4.05415323] -5.316323007648952 ;\n",
+      "Epoch 690/1000, Cost: 2.6203\n",
+      " and the parameters are [-2.99723203  4.05409879] -5.316394524835685 ;\n",
+      "Epoch 690/1000, Cost: 4.8209\n",
+      " and the parameters are [-2.99718407  4.05396627] -5.316537298372682 ;\n",
+      "Epoch 690/1000, Cost: 3.6561\n",
+      " and the parameters are [-2.99718811  4.05394897] -5.316558794273431 ;\n",
+      "Epoch 690/1000, Cost: 3.2071\n",
+      " and the parameters are [-2.99713663  4.05392446] -5.316640224234429 ;\n",
+      "Epoch 690/1000, Cost: 3.6978\n",
+      " and the parameters are [-2.99719452  4.05390725] -5.316658166308675 ;\n",
+      "Epoch 690/1000, Cost: 4.7681\n",
+      " and the parameters are [-2.99706029  4.05402705] -5.316660771481874 ;\n",
+      "Epoch 690/1000, Cost: 3.9403\n",
+      " and the parameters are [-2.99709142  4.05397975] -5.316691287659901 ;\n",
+      "Epoch 690/1000, Cost: 3.4225\n",
+      " and the parameters are [-2.99720638  4.05380394] -5.316752785170067 ;\n",
+      "Epoch 690/1000, Cost: 2.4591\n",
+      " and the parameters are [-2.99719888  4.05382681] -5.316768747207711 ;\n",
+      "Epoch 690/1000, Cost: 4.3251\n",
+      " and the parameters are [-2.99732623  4.05369379] -5.316822337091762 ;\n",
+      "Epoch 690/1000, Cost: 2.9443\n",
+      " and the parameters are [-2.99732125  4.053637  ] -5.316885279322957 ;\n",
+      "Epoch 690/1000, Cost: 1.2714\n",
+      " and the parameters are [-2.99730408  4.05367617] -5.31688791378595 ;\n",
+      "Epoch 690/1000, Cost: 5.3995\n",
+      " and the parameters are [-2.99734798  4.05357729] -5.316942458018582 ;\n",
+      "Epoch 690/1000, Cost: 5.9386\n",
+      " and the parameters are [-2.99748304  4.05349841] -5.316943219636521 ;\n",
+      "Epoch 690/1000, Cost: 1.1270\n",
+      " and the parameters are [-2.99750215  4.05352415] -5.316937183645403 ;\n",
+      "Epoch 690/1000, Cost: 2.3728\n",
+      " and the parameters are [-2.9975127   4.05355226] -5.316927142245384 ;\n",
+      "Epoch 690/1000, Cost: 2.8626\n",
+      " and the parameters are [-2.9975715  4.0535319] -5.316934383971368 ;\n",
+      "Epoch 690/1000, Cost: 2.6551\n",
+      " and the parameters are [-2.9975434   4.05367059] -5.31687848964365 ;\n",
+      "Epoch 690/1000, Cost: 1.3539\n",
+      " and the parameters are [-2.99756283  4.05370648] -5.316867581823315 ;\n",
+      "Epoch 690/1000, Cost: 1.5204\n",
+      " and the parameters are [-2.99758676  4.05367231] -5.316898973877717 ;\n",
+      "Epoch 690/1000, Cost: 4.5880\n",
+      " and the parameters are [-2.99759362  4.05356226] -5.31700123938384 ;\n",
+      "Epoch 690/1000, Cost: 1.7089\n",
+      " and the parameters are [-2.99759961  4.05358616] -5.3170040549999245 ;\n",
+      "Epoch 690/1000, Cost: 4.7280\n",
+      " and the parameters are [-2.99758986  4.05367868] -5.316953859942198 ;\n",
+      "Epoch 690/1000, Cost: 2.1868\n",
+      " and the parameters are [-2.99756585  4.05372671] -5.316950733774776 ;\n",
+      "Epoch 690/1000, Cost: 2.8638\n",
+      " and the parameters are [-2.99762898  4.0537354 ] -5.316925644818023 ;\n",
+      "Epoch 690/1000, Cost: 4.4720\n",
+      " and the parameters are [-2.99769872  4.05379703] -5.3168614409769575 ;\n",
+      "Epoch 690/1000, Cost: 3.1950\n",
+      " and the parameters are [-2.9977395   4.05373939] -5.316909814621565 ;\n",
+      "Epoch 690/1000, Cost: 3.0876\n",
+      " and the parameters are [-2.99778575  4.05371938] -5.316940517302578 ;\n",
+      "Epoch 690/1000, Cost: 2.7330\n",
+      " and the parameters are [-2.99781733  4.05376874] -5.316914464014129 ;\n",
+      "Epoch 690/1000, Cost: 2.8394\n",
+      " and the parameters are [-2.99779837  4.05380866] -5.316925870598674 ;\n",
+      "Epoch 690/1000, Cost: 2.3920\n",
+      " and the parameters are [-2.9977505   4.05380971] -5.316968108178827 ;\n",
+      "Epoch 690/1000, Cost: 4.5691\n",
+      " and the parameters are [-2.99775817  4.05393281] -5.316874334033795 ;\n",
+      "Epoch 690/1000, Cost: 5.6244\n",
+      " and the parameters are [-2.99779872  4.05393659] -5.316846749026783 ;\n",
+      "Epoch 690/1000, Cost: 3.1829\n",
+      " and the parameters are [-2.99778532  4.05395032] -5.316863801771566 ;\n",
+      "Epoch 690/1000, Cost: 1.9334\n",
+      " and the parameters are [-2.99781419  4.05393145] -5.316885364723584 ;\n",
+      "Epoch 690/1000, Cost: 3.5532\n",
+      " and the parameters are [-2.9977719  4.0540656] -5.316831394210226 ;\n",
+      "Epoch 690/1000, Cost: 5.8695\n",
+      " and the parameters are [-2.99779449  4.05394822] -5.316906462503696 ;\n",
+      "Epoch 690/1000, Cost: 6.0920\n",
+      " and the parameters are [-2.99770402  4.05399674] -5.316914441195987 ;\n",
+      "Epoch 690/1000, Cost: 3.7114\n",
+      " and the parameters are [-2.99772914  4.05395423] -5.31694478753614 ;\n",
+      "Epoch 690/1000, Cost: 1.9473\n",
+      " and the parameters are [-2.99777458  4.05401338] -5.316891326749539 ;\n",
+      "Epoch 690/1000, Cost: 3.5898\n",
+      " and the parameters are [-2.99786331  4.05393876] -5.316925826732902 ;\n",
+      "Epoch 690/1000, Cost: 2.7666\n",
+      " and the parameters are [-2.99788607  4.0539063 ] -5.316970690255911 ;\n",
+      "Epoch 690/1000, Cost: 3.2699\n",
+      " and the parameters are [-2.99786323  4.054035  ] -5.316907365868111 ;\n",
+      "Epoch 690/1000, Cost: 2.7272\n",
+      " and the parameters are [-2.9979049   4.05412943] -5.316828098449613 ;\n",
+      "Epoch 690/1000, Cost: 2.0258\n",
+      " and the parameters are [-2.9979701   4.05414674] -5.316804965723698 ;\n",
+      "Epoch 690/1000, Cost: 2.0701\n",
+      " and the parameters are [-2.99799044  4.0542357 ] -5.31675659260427 ;\n",
+      "Epoch 690/1000, Cost: 1.8578\n",
+      " and the parameters are [-2.99801868  4.05428126] -5.316727539790403 ;\n",
+      "Epoch 690/1000, Cost: 5.8793\n",
+      " and the parameters are [-2.99791245  4.05419738] -5.3168437764623215 ;\n",
+      "Epoch 690/1000, Cost: 3.3048\n",
+      " and the parameters are [-2.99784702  4.05424279] -5.316865978170686 ;\n",
+      "Epoch 690/1000, Cost: 3.5792\n",
+      " and the parameters are [-2.99781302  4.05422662] -5.316898224515547 ;\n",
+      "Epoch 690/1000, Cost: 2.9809\n",
+      " and the parameters are [-2.99781492  4.05422044] -5.316923133433821 ;\n",
+      "Epoch 690/1000, Cost: 4.0500\n",
+      " and the parameters are [-2.99783044  4.0541948 ] -5.316940752733155 ;\n",
+      "Epoch 690/1000, Cost: 1.8839\n",
+      " and the parameters are [-2.99785256  4.05426501] -5.316907230121045 ;\n",
+      "Epoch 690/1000, Cost: 3.2059\n",
+      " and the parameters are [-2.99782025  4.05426772] -5.316943837520241 ;\n",
+      "Epoch 690/1000, Cost: 3.6698\n",
+      " and the parameters are [-2.99779028  4.05424284] -5.316988789688726 ;\n",
+      "Epoch 690/1000, Cost: 5.4993\n",
+      " and the parameters are [-2.99777543  4.0542148 ] -5.31702275550303 ;\n",
+      "Epoch 690/1000, Cost: 2.9293\n",
+      " and the parameters are [-2.99783984  4.05413816] -5.317052084368803 ;\n",
+      "Epoch 690/1000, Cost: 2.0490\n",
+      " and the parameters are [-2.99783141  4.05416849] -5.3170637443501185 ;\n",
+      "Epoch 690/1000, Cost: 6.8368\n",
+      " and the parameters are [-2.99784037  4.05412518] -5.317070715556498 ;\n",
+      "Epoch 690/1000, Cost: 2.8594\n",
+      " and the parameters are [-2.99781534  4.05427276] -5.317006043356457 ;\n",
+      "Epoch 700/1000, Cost: 4.1476\n",
+      " and the parameters are [-3.00814769  4.06718788] -5.335604568297413 ;\n",
+      "Epoch 700/1000, Cost: 1.5209\n",
+      " and the parameters are [-3.00815636  4.06721541] -5.335613188916279 ;\n",
+      "Epoch 700/1000, Cost: 1.1114\n",
+      " and the parameters are [-3.00813563  4.06723575] -5.3356360842898045 ;\n",
+      "Epoch 700/1000, Cost: 1.0135\n",
+      " and the parameters are [-3.00814035  4.06729558] -5.3356111084849065 ;\n",
+      "Epoch 700/1000, Cost: 1.7810\n",
+      " and the parameters are [-3.00816733  4.06728361] -5.335630973173909 ;\n",
+      "Epoch 700/1000, Cost: 5.2617\n",
+      " and the parameters are [-3.00816558  4.06733363] -5.335594569810755 ;\n",
+      "Epoch 700/1000, Cost: 2.2674\n",
+      " and the parameters are [-3.00820925  4.06730004] -5.335626505210577 ;\n",
+      "Epoch 700/1000, Cost: 0.8594\n",
+      " and the parameters are [-3.00822023  4.06731389] -5.335630479239837 ;\n",
+      "Epoch 700/1000, Cost: 3.2470\n",
+      " and the parameters are [-3.00827111  4.06726968] -5.335666712445189 ;\n",
+      "Epoch 700/1000, Cost: 5.6201\n",
+      " and the parameters are [-3.00828231  4.06719043] -5.335722961449064 ;\n",
+      "Epoch 700/1000, Cost: 4.8659\n",
+      " and the parameters are [-3.00838868  4.06705542] -5.335775326460564 ;\n",
+      "Epoch 700/1000, Cost: 8.0828\n",
+      " and the parameters are [-3.00844444  4.06715929] -5.335648048105459 ;\n",
+      "Epoch 700/1000, Cost: 1.9266\n",
+      " and the parameters are [-3.00844485  4.06712787] -5.335698564133821 ;\n",
+      "Epoch 700/1000, Cost: 4.4537\n",
+      " and the parameters are [-3.00854287  4.06698021] -5.335767009170322 ;\n",
+      "Epoch 700/1000, Cost: 2.6529\n",
+      " and the parameters are [-3.00859922  4.0669553 ] -5.335771395042031 ;\n",
+      "Epoch 700/1000, Cost: 1.6892\n",
+      " and the parameters are [-3.00862845  4.06689319] -5.335819062463349 ;\n",
+      "Epoch 700/1000, Cost: 2.8368\n",
+      " and the parameters are [-3.00863107  4.06689786] -5.335835914659361 ;\n",
+      "Epoch 700/1000, Cost: 3.3150\n",
+      " and the parameters are [-3.00875904  4.06683614] -5.335820852845505 ;\n",
+      "Epoch 700/1000, Cost: 1.5577\n",
+      " and the parameters are [-3.00881376  4.06683983] -5.335814760339429 ;\n",
+      "Epoch 700/1000, Cost: 3.1936\n",
+      " and the parameters are [-3.00883521  4.06688578] -5.335784046094065 ;\n",
+      "Epoch 700/1000, Cost: 2.4173\n",
+      " and the parameters are [-3.00886051  4.06691332] -5.335776257135275 ;\n",
+      "Epoch 700/1000, Cost: 2.8386\n",
+      " and the parameters are [-3.00883339  4.06695469] -5.335790278266477 ;\n",
+      "Epoch 700/1000, Cost: 2.1235\n",
+      " and the parameters are [-3.00882394  4.06691424] -5.3358537961986485 ;\n",
+      "Epoch 700/1000, Cost: 4.9135\n",
+      " and the parameters are [-3.00872932  4.06689132] -5.335913723785192 ;\n",
+      "Epoch 700/1000, Cost: 2.7791\n",
+      " and the parameters are [-3.00873934  4.06688076] -5.335940632501667 ;\n",
+      "Epoch 700/1000, Cost: 1.4612\n",
+      " and the parameters are [-3.00874652  4.06683609] -5.3359759472542425 ;\n",
+      "Epoch 700/1000, Cost: 1.1245\n",
+      " and the parameters are [-3.00873409  4.06690056] -5.335960645990679 ;\n",
+      "Epoch 700/1000, Cost: 2.4271\n",
+      " and the parameters are [-3.00879283  4.06685136] -5.335997998181227 ;\n",
+      "Epoch 700/1000, Cost: 2.4539\n",
+      " and the parameters are [-3.00877199  4.06691737] -5.335975092855995 ;\n",
+      "Epoch 700/1000, Cost: 6.2016\n",
+      " and the parameters are [-3.00880858  4.066843  ] -5.336033184015256 ;\n",
+      "Epoch 700/1000, Cost: 3.0848\n",
+      " and the parameters are [-3.00876576  4.06684366] -5.3360913745408896 ;\n",
+      "Epoch 700/1000, Cost: 2.2365\n",
+      " and the parameters are [-3.00884576  4.06683942] -5.336076754711907 ;\n",
+      "Epoch 700/1000, Cost: 3.5862\n",
+      " and the parameters are [-3.00884704  4.06692799] -5.336038941921728 ;\n",
+      "Epoch 700/1000, Cost: 2.6883\n",
+      " and the parameters are [-3.00881396  4.06700102] -5.336033899653154 ;\n",
+      "Epoch 700/1000, Cost: 2.2423\n",
+      " and the parameters are [-3.0088244   4.06693391] -5.336096216135417 ;\n",
+      "Epoch 700/1000, Cost: 2.7950\n",
+      " and the parameters are [-3.00879475  4.066981  ] -5.336109126531347 ;\n",
+      "Epoch 700/1000, Cost: 5.5494\n",
+      " and the parameters are [-3.00863746  4.06696391] -5.336215372024055 ;\n",
+      "Epoch 700/1000, Cost: 2.9631\n",
+      " and the parameters are [-3.00870115  4.06696242] -5.336209212091524 ;\n",
+      "Epoch 700/1000, Cost: 2.1528\n",
+      " and the parameters are [-3.00866508  4.06703437] -5.336200591402763 ;\n",
+      "Epoch 700/1000, Cost: 2.7869\n",
+      " and the parameters are [-3.00873731  4.0669554 ] -5.3362517750936584 ;\n",
+      "Epoch 700/1000, Cost: 2.7560\n",
+      " and the parameters are [-3.00877826  4.06696299] -5.33624988518992 ;\n",
+      "Epoch 700/1000, Cost: 3.0945\n",
+      " and the parameters are [-3.00879487  4.06697856] -5.336251575928212 ;\n",
+      "Epoch 700/1000, Cost: 3.5200\n",
+      " and the parameters are [-3.0087839   4.06690527] -5.336343384687495 ;\n",
+      "Epoch 700/1000, Cost: 2.9145\n",
+      " and the parameters are [-3.00881866  4.06683676] -5.336406372482837 ;\n",
+      "Epoch 700/1000, Cost: 1.8854\n",
+      " and the parameters are [-3.00886369  4.066858  ] -5.336391955020029 ;\n",
+      "Epoch 700/1000, Cost: 0.9955\n",
+      " and the parameters are [-3.00886102  4.06685086] -5.336415758461722 ;\n",
+      "Epoch 700/1000, Cost: 1.7801\n",
+      " and the parameters are [-3.00885522  4.06688804] -5.336420680401136 ;\n",
+      "Epoch 700/1000, Cost: 2.6110\n",
+      " and the parameters are [-3.00881965  4.0668904 ] -5.336447770671659 ;\n",
+      "Epoch 700/1000, Cost: 1.3849\n",
+      " and the parameters are [-3.00884549  4.06694794] -5.336415331187776 ;\n",
+      "Epoch 700/1000, Cost: 2.6044\n",
+      " and the parameters are [-3.00884468  4.06693517] -5.336442297122557 ;\n",
+      "Epoch 700/1000, Cost: 1.6508\n",
+      " and the parameters are [-3.00886183  4.06696198] -5.336445370061779 ;\n",
+      "Epoch 700/1000, Cost: 3.8490\n",
+      " and the parameters are [-3.00886964  4.06685602] -5.336539352054791 ;\n",
+      "Epoch 700/1000, Cost: 1.2953\n",
+      " and the parameters are [-3.00891198  4.06684432] -5.336550462982524 ;\n",
+      "Epoch 700/1000, Cost: 1.8638\n",
+      " and the parameters are [-3.00896158  4.06680878] -5.33657655602634 ;\n",
+      "Epoch 700/1000, Cost: 4.4530\n",
+      " and the parameters are [-3.00896844  4.06694474] -5.336487456131935 ;\n",
+      "Epoch 700/1000, Cost: 1.6928\n",
+      " and the parameters are [-3.00897141  4.06694801] -5.336512028897755 ;\n",
+      "Epoch 700/1000, Cost: 3.2501\n",
+      " and the parameters are [-3.0089645   4.06696974] -5.336515405088745 ;\n",
+      "Epoch 700/1000, Cost: 2.6678\n",
+      " and the parameters are [-3.00891629  4.06701079] -5.336542842507315 ;\n",
+      "Epoch 700/1000, Cost: 2.0622\n",
+      " and the parameters are [-3.00892335  4.06706178] -5.336530361448705 ;\n",
+      "Epoch 700/1000, Cost: 1.1291\n",
+      " and the parameters are [-3.00891395  4.06710598] -5.336525165782185 ;\n",
+      "Epoch 700/1000, Cost: 3.2103\n",
+      " and the parameters are [-3.00880115  4.06723915] -5.336520429906389 ;\n",
+      "Epoch 700/1000, Cost: 3.9418\n",
+      " and the parameters are [-3.00867048  4.06730886] -5.336568117523613 ;\n",
+      "Epoch 700/1000, Cost: 1.0293\n",
+      " and the parameters are [-3.00871642  4.06725974] -5.336601900475522 ;\n",
+      "Epoch 700/1000, Cost: 1.5563\n",
+      " and the parameters are [-3.00868092  4.06731304] -5.33659928603615 ;\n",
+      "Epoch 700/1000, Cost: 5.5979\n",
+      " and the parameters are [-3.0085997   4.06726116] -5.336683932494051 ;\n",
+      "Epoch 700/1000, Cost: 1.4396\n",
+      " and the parameters are [-3.0086208  4.0672509] -5.336700979156092 ;\n",
+      "Epoch 700/1000, Cost: 7.6606\n",
+      " and the parameters are [-3.00872514  4.06716392] -5.336702436846151 ;\n",
+      "Epoch 700/1000, Cost: 3.8222\n",
+      " and the parameters are [-3.00872959  4.06721589] -5.336680352171608 ;\n",
+      "Epoch 700/1000, Cost: 2.4296\n",
+      " and the parameters are [-3.00873442  4.06727333] -5.336658194858285 ;\n",
+      "Epoch 700/1000, Cost: 1.8765\n",
+      " and the parameters are [-3.00877245  4.06721916] -5.336697372114295 ;\n",
+      "Epoch 700/1000, Cost: 11.6928\n",
+      " and the parameters are [-3.00884494  4.06735122] -5.336517190691698 ;\n",
+      "Epoch 700/1000, Cost: 0.9590\n",
+      " and the parameters are [-3.00886395  4.06735097] -5.336529799966495 ;\n",
+      "Epoch 700/1000, Cost: 3.1720\n",
+      " and the parameters are [-3.00886625  4.06739328] -5.336520304023535 ;\n",
+      "Epoch 700/1000, Cost: 6.1888\n",
+      " and the parameters are [-3.00886092  4.06723387] -5.336644178642547 ;\n",
+      "Epoch 700/1000, Cost: 2.9937\n",
+      " and the parameters are [-3.00880332  4.06737063] -5.3366024052427585 ;\n",
+      "Epoch 700/1000, Cost: 3.7144\n",
+      " and the parameters are [-3.00882612  4.06738104] -5.336599953295253 ;\n",
+      "Epoch 700/1000, Cost: 2.4610\n",
+      " and the parameters are [-3.00890606  4.0673446 ] -5.336603109358932 ;\n",
+      "Epoch 700/1000, Cost: 3.5935\n",
+      " and the parameters are [-3.00890294  4.06746407] -5.336527298538952 ;\n",
+      "Epoch 700/1000, Cost: 0.9724\n",
+      " and the parameters are [-3.00892787  4.06745458] -5.336543309478724 ;\n",
+      "Epoch 700/1000, Cost: 0.9528\n",
+      " and the parameters are [-3.00895705  4.06746838] -5.336537723075514 ;\n",
+      "Epoch 700/1000, Cost: 2.7787\n",
+      " and the parameters are [-3.00895124  4.0674905 ] -5.336556449223876 ;\n",
+      "Epoch 700/1000, Cost: 1.2987\n",
+      " and the parameters are [-3.00894124  4.06749746] -5.336572712877656 ;\n",
+      "Epoch 700/1000, Cost: 5.3307\n",
+      " and the parameters are [-3.0090221   4.06729033] -5.336705959448043 ;\n",
+      "Epoch 700/1000, Cost: 1.4316\n",
+      " and the parameters are [-3.00902708  4.06730506] -5.336714965456646 ;\n",
+      "Epoch 700/1000, Cost: 4.1901\n",
+      " and the parameters are [-3.00908752  4.06738744] -5.3366340005426 ;\n",
+      "Epoch 700/1000, Cost: 5.2039\n",
+      " and the parameters are [-3.00904912  4.06747464] -5.336579970767998 ;\n",
+      "Epoch 700/1000, Cost: 3.7812\n",
+      " and the parameters are [-3.00899074  4.06751491] -5.336608591784083 ;\n",
+      "Epoch 700/1000, Cost: 5.8497\n",
+      " and the parameters are [-3.00880543  4.06758338] -5.3366641514321405 ;\n",
+      "Epoch 700/1000, Cost: 2.1812\n",
+      " and the parameters are [-3.00879865  4.0676313 ] -5.336654197506468 ;\n",
+      "Epoch 700/1000, Cost: 5.3063\n",
+      " and the parameters are [-3.00867874  4.06772161] -5.336659866803164 ;\n",
+      "Epoch 700/1000, Cost: 4.7885\n",
+      " and the parameters are [-3.00859889  4.06764034] -5.336781886960916 ;\n",
+      "Epoch 700/1000, Cost: 2.9489\n",
+      " and the parameters are [-3.00862382  4.06762153] -5.336801832590939 ;\n",
+      "Epoch 700/1000, Cost: 2.5013\n",
+      " and the parameters are [-3.00855422  4.06763816] -5.336852860533813 ;\n",
+      "Epoch 700/1000, Cost: 4.6583\n",
+      " and the parameters are [-3.00856535  4.06764143] -5.336843840321777 ;\n",
+      "Epoch 700/1000, Cost: 1.3666\n",
+      " and the parameters are [-3.00853686  4.06774779] -5.336806154958344 ;\n",
+      "Epoch 700/1000, Cost: 2.7279\n",
+      " and the parameters are [-3.00848347  4.06779554] -5.336822756932389 ;\n",
+      "Epoch 700/1000, Cost: 0.9130\n",
+      " and the parameters are [-3.00848394  4.06781299] -5.336831249131684 ;\n",
+      "Epoch 700/1000, Cost: 2.9741\n",
+      " and the parameters are [-3.00854055  4.06777785] -5.3368449604815025 ;\n",
+      "Epoch 700/1000, Cost: 2.6435\n",
+      " and the parameters are [-3.00859165  4.06783546] -5.336791731703029 ;\n",
+      "Epoch 700/1000, Cost: 2.1528\n",
+      " and the parameters are [-3.00862469  4.06777073] -5.336841987292843 ;\n",
+      "Epoch 700/1000, Cost: 7.5106\n",
+      " and the parameters are [-3.00859668  4.06773324] -5.336850344263034 ;\n",
+      "Epoch 700/1000, Cost: 1.2559\n",
+      " and the parameters are [-3.0085989   4.06777349] -5.336841660680249 ;\n",
+      "Epoch 700/1000, Cost: 3.1135\n",
+      " and the parameters are [-3.00861342  4.06775245] -5.336867101812314 ;\n",
+      "Epoch 700/1000, Cost: 1.6214\n",
+      " and the parameters are [-3.00861319  4.06780338] -5.336863221267157 ;\n",
+      "Epoch 700/1000, Cost: 4.6359\n",
+      " and the parameters are [-3.00871053  4.06767885] -5.3368975700193255 ;\n",
+      "Epoch 700/1000, Cost: 1.5900\n",
+      " and the parameters are [-3.00872701  4.06772161] -5.336884587191982 ;\n",
+      "Epoch 700/1000, Cost: 1.4826\n",
+      " and the parameters are [-3.008727    4.06776123] -5.336882398927982 ;\n",
+      "Epoch 700/1000, Cost: 1.8398\n",
+      " and the parameters are [-3.00867466  4.06780719] -5.336909528100654 ;\n",
+      "Epoch 700/1000, Cost: 2.6276\n",
+      " and the parameters are [-3.00875768  4.06772621] -5.336956678966807 ;\n",
+      "Epoch 700/1000, Cost: 2.3226\n",
+      " and the parameters are [-3.00877744  4.06768433] -5.3370109468353935 ;\n",
+      "Epoch 700/1000, Cost: 1.4877\n",
+      " and the parameters are [-3.00882981  4.06767903] -5.337009570170463 ;\n",
+      "Epoch 700/1000, Cost: 2.9506\n",
+      " and the parameters are [-3.00884082  4.06769646] -5.337020196544265 ;\n",
+      "Epoch 700/1000, Cost: 6.5916\n",
+      " and the parameters are [-3.008818    4.06763784] -5.337067197100755 ;\n",
+      "Epoch 700/1000, Cost: 1.8788\n",
+      " and the parameters are [-3.00882323  4.06765733] -5.337075991742173 ;\n",
+      "Epoch 700/1000, Cost: 2.3450\n",
+      " and the parameters are [-3.00880225  4.06763011] -5.337126415237301 ;\n",
+      "Epoch 700/1000, Cost: 2.1464\n",
+      " and the parameters are [-3.00882965  4.06758198] -5.337171057199036 ;\n",
+      "Epoch 700/1000, Cost: 3.8596\n",
+      " and the parameters are [-3.00883476  4.06750552] -5.337219227607488 ;\n",
+      "Epoch 700/1000, Cost: 2.1750\n",
+      " and the parameters are [-3.00883222  4.0675452 ] -5.337220020715841 ;\n",
+      "Epoch 700/1000, Cost: 5.0470\n",
+      " and the parameters are [-3.00891005  4.06741345] -5.337302261052599 ;\n",
+      "Epoch 700/1000, Cost: 1.7102\n",
+      " and the parameters are [-3.00892524  4.06748177] -5.33726985507829 ;\n",
+      "Epoch 700/1000, Cost: 4.4766\n",
+      " and the parameters are [-3.00891879  4.0675023 ] -5.337266686705873 ;\n",
+      "Epoch 700/1000, Cost: 2.3849\n",
+      " and the parameters are [-3.0089206   4.06750832] -5.337287996204181 ;\n",
+      "Epoch 700/1000, Cost: 5.5294\n",
+      " and the parameters are [-3.00902038  4.06731415] -5.337374641863773 ;\n",
+      "Epoch 700/1000, Cost: 4.3195\n",
+      " and the parameters are [-3.00894922  4.06737476] -5.33738778747267 ;\n",
+      "Epoch 700/1000, Cost: 10.0879\n",
+      " and the parameters are [-3.00889683  4.06735555] -5.337414105045852 ;\n",
+      "Epoch 700/1000, Cost: 2.7877\n",
+      " and the parameters are [-3.00888323  4.06749746] -5.337357434566401 ;\n",
+      "Epoch 700/1000, Cost: 3.4495\n",
+      " and the parameters are [-3.00892317  4.06747435] -5.337372662112768 ;\n",
+      "Epoch 700/1000, Cost: 4.2723\n",
+      " and the parameters are [-3.0090086   4.06741579] -5.337394429710059 ;\n",
+      "Epoch 700/1000, Cost: 1.8209\n",
+      " and the parameters are [-3.00902097  4.06739667] -5.337420914209817 ;\n",
+      "Epoch 700/1000, Cost: 3.0620\n",
+      " and the parameters are [-3.00905904  4.06733975] -5.337455751640028 ;\n",
+      "Epoch 700/1000, Cost: 3.0987\n",
+      " and the parameters are [-3.009134    4.06717581] -5.337551309574445 ;\n",
+      "Epoch 700/1000, Cost: 2.9099\n",
+      " and the parameters are [-3.00910544  4.06726376] -5.337531826050713 ;\n",
+      "Epoch 700/1000, Cost: 4.5392\n",
+      " and the parameters are [-3.00909331  4.06735178] -5.337480146504214 ;\n",
+      "Epoch 700/1000, Cost: 1.2221\n",
+      " and the parameters are [-3.00910285  4.06738303] -5.337476561362695 ;\n",
+      "Epoch 700/1000, Cost: 4.6788\n",
+      " and the parameters are [-3.00904669  4.06750648] -5.337405577245529 ;\n",
+      "Epoch 700/1000, Cost: 5.4842\n",
+      " and the parameters are [-3.00917163  4.0673049 ] -5.337483390201507 ;\n",
+      "Epoch 700/1000, Cost: 5.3447\n",
+      " and the parameters are [-3.00913954  4.06734411] -5.33747260343524 ;\n",
+      "Epoch 700/1000, Cost: 2.8790\n",
+      " and the parameters are [-3.00917532  4.06732397] -5.337495476344935 ;\n",
+      "Epoch 700/1000, Cost: 2.4447\n",
+      " and the parameters are [-3.00919754  4.06737909] -5.337467360762176 ;\n",
+      "Epoch 700/1000, Cost: 3.0341\n",
+      " and the parameters are [-3.00919438  4.06734201] -5.33751617918455 ;\n",
+      "Epoch 700/1000, Cost: 0.8509\n",
+      " and the parameters are [-3.00920177  4.06735469] -5.33752312792905 ;\n",
+      "Epoch 700/1000, Cost: 1.6053\n",
+      " and the parameters are [-3.0092      4.06743466] -5.337491786160001 ;\n",
+      "Epoch 700/1000, Cost: 2.8426\n",
+      " and the parameters are [-3.00924257  4.06741484] -5.337509740470817 ;\n",
+      "Epoch 700/1000, Cost: 2.0708\n",
+      " and the parameters are [-3.0092388   4.06745117] -5.33750776903295 ;\n",
+      "Epoch 700/1000, Cost: 6.1366\n",
+      " and the parameters are [-3.00926899  4.06754735] -5.337434335789683 ;\n",
+      "Epoch 700/1000, Cost: 5.2344\n",
+      " and the parameters are [-3.00922254  4.0676567 ] -5.337386180419508 ;\n",
+      "Epoch 700/1000, Cost: 2.1956\n",
+      " and the parameters are [-3.00921268  4.06774231] -5.337364477704466 ;\n",
+      "Epoch 700/1000, Cost: 3.1902\n",
+      " and the parameters are [-3.00919838  4.06780235] -5.337335820999718 ;\n",
+      "Epoch 700/1000, Cost: 1.7788\n",
+      " and the parameters are [-3.00922249  4.06777827] -5.3373669262846954 ;\n",
+      "Epoch 700/1000, Cost: 1.5008\n",
+      " and the parameters are [-3.00920287  4.06786429] -5.337333766356268 ;\n",
+      "Epoch 700/1000, Cost: 3.8102\n",
+      " and the parameters are [-3.00919188  4.06784003] -5.33736717403394 ;\n",
+      "Epoch 700/1000, Cost: 1.4785\n",
+      " and the parameters are [-3.00918727  4.06786746] -5.33737852166901 ;\n",
+      "Epoch 700/1000, Cost: 4.7031\n",
+      " and the parameters are [-3.00920569  4.06777604] -5.337445435776264 ;\n",
+      "Epoch 700/1000, Cost: 2.2139\n",
+      " and the parameters are [-3.00915113  4.06788975] -5.337415802211925 ;\n",
+      "Epoch 700/1000, Cost: 3.0243\n",
+      " and the parameters are [-3.00916179  4.06800503] -5.337344913733665 ;\n",
+      "Epoch 700/1000, Cost: 3.6262\n",
+      " and the parameters are [-3.00920771  4.06806026] -5.337305204696928 ;\n",
+      "Epoch 700/1000, Cost: 1.6587\n",
+      " and the parameters are [-3.00918516  4.06812041] -5.337297621077133 ;\n",
+      "Epoch 700/1000, Cost: 1.6299\n",
+      " and the parameters are [-3.00917392  4.06819201] -5.33728210477411 ;\n",
+      "Epoch 700/1000, Cost: 2.7049\n",
+      " and the parameters are [-3.00918574  4.06828512] -5.337219938364713 ;\n",
+      "Epoch 700/1000, Cost: 2.0074\n",
+      " and the parameters are [-3.00920755  4.06822906] -5.337275736184981 ;\n",
+      "Epoch 700/1000, Cost: 1.7672\n",
+      " and the parameters are [-3.00919521  4.06826376] -5.337281031950273 ;\n",
+      "Epoch 700/1000, Cost: 4.6402\n",
+      " and the parameters are [-3.00927483  4.06813638] -5.3373704077045465 ;\n",
+      "Epoch 700/1000, Cost: 2.2905\n",
+      " and the parameters are [-3.00930902  4.06821371] -5.3373181317658585 ;\n",
+      "Epoch 700/1000, Cost: 2.1217\n",
+      " and the parameters are [-3.00934993  4.06820612] -5.337327880916193 ;\n",
+      "Epoch 700/1000, Cost: 4.0612\n",
+      " and the parameters are [-3.00933238  4.06825806] -5.337314100251272 ;\n",
+      "Epoch 700/1000, Cost: 0.7304\n",
+      " and the parameters are [-3.00933473  4.06828956] -5.337307660679212 ;\n",
+      "Epoch 700/1000, Cost: 3.0419\n",
+      " and the parameters are [-3.00930838  4.06824676] -5.337376296310299 ;\n",
+      "Epoch 700/1000, Cost: 3.8996\n",
+      " and the parameters are [-3.00936467  4.06812471] -5.337454286687349 ;\n",
+      "Epoch 700/1000, Cost: 2.3593\n",
+      " and the parameters are [-3.00942252  4.06807441] -5.337489812125509 ;\n",
+      "Epoch 700/1000, Cost: 1.5770\n",
+      " and the parameters are [-3.00941293  4.0681409 ] -5.33747191454761 ;\n",
+      "Epoch 700/1000, Cost: 2.0764\n",
+      " and the parameters are [-3.00940956  4.06816447] -5.337490304114323 ;\n",
+      "Epoch 700/1000, Cost: 2.9405\n",
+      " and the parameters are [-3.00937108  4.06812234] -5.33756047878735 ;\n",
+      "Epoch 700/1000, Cost: 3.9414\n",
+      " and the parameters are [-3.00937056  4.06809697] -5.337591144657946 ;\n",
+      "Epoch 700/1000, Cost: 2.2637\n",
+      " and the parameters are [-3.00938055  4.06822942] -5.337518169399421 ;\n",
+      "Epoch 700/1000, Cost: 0.7955\n",
+      " and the parameters are [-3.00938381  4.0682656 ] -5.337507684445911 ;\n",
+      "Epoch 700/1000, Cost: 1.4175\n",
+      " and the parameters are [-3.00939963  4.0682951 ] -5.337489582430979 ;\n",
+      "Epoch 700/1000, Cost: 3.7562\n",
+      " and the parameters are [-3.00937821  4.06842282] -5.337433254193452 ;\n",
+      "Epoch 700/1000, Cost: 1.5004\n",
+      " and the parameters are [-3.00939723  4.06847225] -5.337407906944922 ;\n",
+      "Epoch 700/1000, Cost: 5.3238\n",
+      " and the parameters are [-3.00937247  4.06838403] -5.337518922460024 ;\n",
+      "Epoch 700/1000, Cost: 5.7246\n",
+      " and the parameters are [-3.00937379  4.06836111] -5.337548333025915 ;\n",
+      "Epoch 700/1000, Cost: 2.0920\n",
+      " and the parameters are [-3.00939591  4.06837148] -5.337561386289247 ;\n",
+      "Epoch 700/1000, Cost: 2.3895\n",
+      " and the parameters are [-3.00940211  4.06840409] -5.337553928381186 ;\n",
+      "Epoch 700/1000, Cost: 3.2535\n",
+      " and the parameters are [-3.00935674  4.06830993] -5.337671080835418 ;\n",
+      "Epoch 700/1000, Cost: 1.7392\n",
+      " and the parameters are [-3.00930218  4.06837292] -5.337679978062091 ;\n",
+      "Epoch 700/1000, Cost: 1.9378\n",
+      " and the parameters are [-3.0093248   4.06838722] -5.33768183257163 ;\n",
+      "Epoch 700/1000, Cost: 5.1695\n",
+      " and the parameters are [-3.00932981  4.06833196] -5.33771209025293 ;\n",
+      "Epoch 700/1000, Cost: 1.8441\n",
+      " and the parameters are [-3.00934789  4.06836784] -5.337703121985948 ;\n",
+      "Epoch 700/1000, Cost: 2.6281\n",
+      " and the parameters are [-3.00940666  4.06838679] -5.337678851099374 ;\n",
+      "Epoch 700/1000, Cost: 3.2805\n",
+      " and the parameters are [-3.00940324  4.06834352] -5.33773187122006 ;\n",
+      "Epoch 700/1000, Cost: 3.9949\n",
+      " and the parameters are [-3.00931197  4.0685142 ] -5.337660646969681 ;\n",
+      "Epoch 700/1000, Cost: 5.5630\n",
+      " and the parameters are [-3.0093472   4.06857008] -5.337582168424365 ;\n",
+      "Epoch 700/1000, Cost: 2.4021\n",
+      " and the parameters are [-3.00938091  4.06855834] -5.337597432261113 ;\n",
+      "Epoch 700/1000, Cost: 4.6100\n",
+      " and the parameters are [-3.00939165  4.06846428] -5.33767284629869 ;\n",
+      "Epoch 700/1000, Cost: 1.6233\n",
+      " and the parameters are [-3.00934842  4.06844343] -5.337735297864209 ;\n",
+      "Epoch 700/1000, Cost: 4.3611\n",
+      " and the parameters are [-3.00941667  4.06843501] -5.337713779367736 ;\n",
+      "Epoch 700/1000, Cost: 2.3120\n",
+      " and the parameters are [-3.00939256  4.06850829] -5.337690139024932 ;\n",
+      "Epoch 700/1000, Cost: 4.7761\n",
+      " and the parameters are [-3.00929983  4.06871695] -5.337601661217834 ;\n",
+      "Epoch 700/1000, Cost: 13.7256\n",
+      " and the parameters are [-3.00932092  4.0685933 ] -5.337614810803196 ;\n",
+      "Epoch 700/1000, Cost: 5.5315\n",
+      " and the parameters are [-3.00939736  4.06859208] -5.3375768828061885 ;\n",
+      "Epoch 700/1000, Cost: 3.0161\n",
+      " and the parameters are [-3.00937078  4.06865437] -5.33756508797947 ;\n",
+      "Epoch 710/1000, Cost: 2.2915\n",
+      " and the parameters are [-3.01969492  4.08148713] -5.355768774756007 ;\n",
+      "Epoch 710/1000, Cost: 1.6092\n",
+      " and the parameters are [-3.01969314  4.08146594] -5.355808959235203 ;\n",
+      "Epoch 710/1000, Cost: 2.3644\n",
+      " and the parameters are [-3.019655    4.08148516] -5.355849869492798 ;\n",
+      "Epoch 710/1000, Cost: 3.8555\n",
+      " and the parameters are [-3.01966686  4.08158719] -5.355795522731932 ;\n",
+      "Epoch 710/1000, Cost: 2.5576\n",
+      " and the parameters are [-3.01969395  4.08162999] -5.355790608266061 ;\n",
+      "Epoch 710/1000, Cost: 2.1569\n",
+      " and the parameters are [-3.01968292  4.08165829] -5.35580560238771 ;\n",
+      "Epoch 710/1000, Cost: 5.2453\n",
+      " and the parameters are [-3.01980928  4.08155196] -5.355841355774049 ;\n",
+      "Epoch 710/1000, Cost: 3.8940\n",
+      " and the parameters are [-3.01976494  4.08164232] -5.355808986165385 ;\n",
+      "Epoch 710/1000, Cost: 1.8260\n",
+      " and the parameters are [-3.01972198  4.08167358] -5.355840123750764 ;\n",
+      "Epoch 710/1000, Cost: 1.0055\n",
+      " and the parameters are [-3.01971979  4.08171271] -5.355831594745993 ;\n",
+      "Epoch 710/1000, Cost: 2.6587\n",
+      " and the parameters are [-3.01962427  4.08175021] -5.355872274895704 ;\n",
+      "Epoch 710/1000, Cost: 4.2986\n",
+      " and the parameters are [-3.01961391  4.0817409 ] -5.35590163512591 ;\n",
+      "Epoch 710/1000, Cost: 1.2942\n",
+      " and the parameters are [-3.01958095  4.08180618] -5.355888807169938 ;\n",
+      "Epoch 710/1000, Cost: 1.6799\n",
+      " and the parameters are [-3.01956156  4.08187167] -5.3558627289864855 ;\n",
+      "Epoch 710/1000, Cost: 1.2186\n",
+      " and the parameters are [-3.01951066  4.0819498 ] -5.355853565568291 ;\n",
+      "Epoch 710/1000, Cost: 4.2615\n",
+      " and the parameters are [-3.01948558  4.08196359] -5.35588295332247 ;\n",
+      "Epoch 710/1000, Cost: 5.1383\n",
+      " and the parameters are [-3.01945562  4.0820046 ] -5.35587425445044 ;\n",
+      "Epoch 710/1000, Cost: 4.4494\n",
+      " and the parameters are [-3.01949144  4.08191909] -5.355943492471864 ;\n",
+      "Epoch 710/1000, Cost: 3.9506\n",
+      " and the parameters are [-3.01955165  4.08185175] -5.355965192306196 ;\n",
+      "Epoch 710/1000, Cost: 2.1625\n",
+      " and the parameters are [-3.0195868   4.08184364] -5.355981851938487 ;\n",
+      "Epoch 710/1000, Cost: 2.9663\n",
+      " and the parameters are [-3.019559    4.08189464] -5.35598491338493 ;\n",
+      "Epoch 710/1000, Cost: 2.2342\n",
+      " and the parameters are [-3.01956251  4.08192631] -5.355992451220481 ;\n",
+      "Epoch 710/1000, Cost: 4.8317\n",
+      " and the parameters are [-3.01960296  4.08202146] -5.355904848664612 ;\n",
+      "Epoch 710/1000, Cost: 1.5750\n",
+      " and the parameters are [-3.01963183  4.08201486] -5.355918571572212 ;\n",
+      "Epoch 710/1000, Cost: 1.4510\n",
+      " and the parameters are [-3.01967079  4.08194944] -5.355971460320182 ;\n",
+      "Epoch 710/1000, Cost: 2.8188\n",
+      " and the parameters are [-3.01970599  4.08193098] -5.356000932044341 ;\n",
+      "Epoch 710/1000, Cost: 5.2158\n",
+      " and the parameters are [-3.01973025  4.08197822] -5.355952897831209 ;\n",
+      "Epoch 710/1000, Cost: 1.6306\n",
+      " and the parameters are [-3.01973888  4.08202297] -5.35594355156984 ;\n",
+      "Epoch 710/1000, Cost: 3.8916\n",
+      " and the parameters are [-3.01973753  4.08206221] -5.355925648991337 ;\n",
+      "Epoch 710/1000, Cost: 2.4104\n",
+      " and the parameters are [-3.01982782  4.08203   ] -5.355914873505408 ;\n",
+      "Epoch 710/1000, Cost: 3.9005\n",
+      " and the parameters are [-3.01984165  4.08216708] -5.3558326039986355 ;\n",
+      "Epoch 710/1000, Cost: 3.0383\n",
+      " and the parameters are [-3.01989317  4.08208715] -5.355886401962153 ;\n",
+      "Epoch 710/1000, Cost: 1.5254\n",
+      " and the parameters are [-3.01990782  4.08212643] -5.355881037169113 ;\n",
+      "Epoch 710/1000, Cost: 2.0937\n",
+      " and the parameters are [-3.01992943  4.08207237] -5.355935358120171 ;\n",
+      "Epoch 710/1000, Cost: 2.2910\n",
+      " and the parameters are [-3.01999089  4.08200214] -5.355970473524694 ;\n",
+      "Epoch 710/1000, Cost: 2.8784\n",
+      " and the parameters are [-3.02001375  4.08208355] -5.355925655586286 ;\n",
+      "Epoch 710/1000, Cost: 6.6952\n",
+      " and the parameters are [-3.01997104  4.0819263 ] -5.356065007980775 ;\n",
+      "Epoch 710/1000, Cost: 4.4493\n",
+      " and the parameters are [-3.02000113  4.08202703] -5.355993290071118 ;\n",
+      "Epoch 710/1000, Cost: 2.3061\n",
+      " and the parameters are [-3.01998659  4.08209473] -5.355984958368144 ;\n",
+      "Epoch 710/1000, Cost: 7.8353\n",
+      " and the parameters are [-3.01998198  4.08214504] -5.355946417453874 ;\n",
+      "Epoch 710/1000, Cost: 4.8931\n",
+      " and the parameters are [-3.02004079  4.08218383] -5.355900765812442 ;\n",
+      "Epoch 710/1000, Cost: 1.3554\n",
+      " and the parameters are [-3.02004767  4.08215469] -5.355947801398003 ;\n",
+      "Epoch 710/1000, Cost: 1.1993\n",
+      " and the parameters are [-3.02005884  4.0821494 ] -5.355968884342836 ;\n",
+      "Epoch 710/1000, Cost: 3.3820\n",
+      " and the parameters are [-3.02007027  4.08217577] -5.3559619971669985 ;\n",
+      "Epoch 710/1000, Cost: 3.9034\n",
+      " and the parameters are [-3.0200402   4.08220189] -5.355974635174258 ;\n",
+      "Epoch 710/1000, Cost: 2.8835\n",
+      " and the parameters are [-3.02005442  4.0822401 ] -5.355966885316087 ;\n",
+      "Epoch 710/1000, Cost: 6.2633\n",
+      " and the parameters are [-3.02013715  4.08211805] -5.3560117656855555 ;\n",
+      "Epoch 710/1000, Cost: 1.4674\n",
+      " and the parameters are [-3.02014834  4.08217544] -5.355992128865087 ;\n",
+      "Epoch 710/1000, Cost: 2.3420\n",
+      " and the parameters are [-3.02013096  4.08225848] -5.35596735353365 ;\n",
+      "Epoch 710/1000, Cost: 1.4304\n",
+      " and the parameters are [-3.02017135  4.08225631] -5.355962785749859 ;\n",
+      "Epoch 710/1000, Cost: 5.7712\n",
+      " and the parameters are [-3.02014148  4.08233933] -5.355925059294487 ;\n",
+      "Epoch 710/1000, Cost: 2.3985\n",
+      " and the parameters are [-3.02009961  4.08234112] -5.355977926615528 ;\n",
+      "Epoch 710/1000, Cost: 3.8804\n",
+      " and the parameters are [-3.02010923  4.08240131] -5.355950071004629 ;\n",
+      "Epoch 710/1000, Cost: 6.8438\n",
+      " and the parameters are [-3.01996022  4.08261479] -5.355858884058147 ;\n",
+      "Epoch 710/1000, Cost: 1.7530\n",
+      " and the parameters are [-3.0199796   4.08257734] -5.355894129340639 ;\n",
+      "Epoch 710/1000, Cost: 1.2285\n",
+      " and the parameters are [-3.01998174  4.08261182] -5.355890940890532 ;\n",
+      "Epoch 710/1000, Cost: 7.3801\n",
+      " and the parameters are [-3.01995927  4.08242211] -5.356045810297044 ;\n",
+      "Epoch 710/1000, Cost: 1.4149\n",
+      " and the parameters are [-3.02001074  4.0823928 ] -5.356064212854036 ;\n",
+      "Epoch 710/1000, Cost: 3.1989\n",
+      " and the parameters are [-3.0200184   4.08232482] -5.3561403235428235 ;\n",
+      "Epoch 710/1000, Cost: 2.3168\n",
+      " and the parameters are [-3.02006575  4.08238608] -5.356094239739454 ;\n",
+      "Epoch 710/1000, Cost: 0.8286\n",
+      " and the parameters are [-3.02005987  4.08241209] -5.356098175190376 ;\n",
+      "Epoch 710/1000, Cost: 2.1619\n",
+      " and the parameters are [-3.02004251  4.08253275] -5.356045346454253 ;\n",
+      "Epoch 710/1000, Cost: 4.6615\n",
+      " and the parameters are [-3.02003466  4.08261831] -5.355978971922244 ;\n",
+      "Epoch 710/1000, Cost: 3.3978\n",
+      " and the parameters are [-3.02001035  4.08263107] -5.356006079567675 ;\n",
+      "Epoch 710/1000, Cost: 0.9068\n",
+      " and the parameters are [-3.02000432  4.08265836] -5.356010794022968 ;\n",
+      "Epoch 710/1000, Cost: 0.8296\n",
+      " and the parameters are [-3.02001898  4.08266989] -5.356013588701673 ;\n",
+      "Epoch 710/1000, Cost: 1.5571\n",
+      " and the parameters are [-3.02000996  4.08273355] -5.35599226551945 ;\n",
+      "Epoch 710/1000, Cost: 3.3537\n",
+      " and the parameters are [-3.0200205  4.0826547] -5.356054631427372 ;\n",
+      "Epoch 710/1000, Cost: 9.2627\n",
+      " and the parameters are [-3.01997037  4.08268913] -5.356036351165335 ;\n",
+      "Epoch 710/1000, Cost: 7.2233\n",
+      " and the parameters are [-3.02001502  4.08248211] -5.356146868075448 ;\n",
+      "Epoch 710/1000, Cost: 4.5290\n",
+      " and the parameters are [-3.02000065  4.0824302 ] -5.3561957823424216 ;\n",
+      "Epoch 710/1000, Cost: 3.9359\n",
+      " and the parameters are [-3.01997271  4.08246766] -5.356206329498655 ;\n",
+      "Epoch 710/1000, Cost: 3.1632\n",
+      " and the parameters are [-3.01994862  4.0824459 ] -5.356243396843435 ;\n",
+      "Epoch 710/1000, Cost: 1.2464\n",
+      " and the parameters are [-3.01996128  4.08245283] -5.356256131630013 ;\n",
+      "Epoch 710/1000, Cost: 4.7077\n",
+      " and the parameters are [-3.01992458  4.08238293] -5.3563517580248305 ;\n",
+      "Epoch 710/1000, Cost: 1.8122\n",
+      " and the parameters are [-3.01989478  4.08246015] -5.356329050339347 ;\n",
+      "Epoch 710/1000, Cost: 3.3335\n",
+      " and the parameters are [-3.01992664  4.08246603] -5.356316426057374 ;\n",
+      "Epoch 710/1000, Cost: 7.9723\n",
+      " and the parameters are [-3.02006507  4.0822795 ] -5.356367646147916 ;\n",
+      "Epoch 710/1000, Cost: 6.6610\n",
+      " and the parameters are [-3.02001514  4.08236878] -5.356300085656952 ;\n",
+      "Epoch 710/1000, Cost: 2.0406\n",
+      " and the parameters are [-3.0199857   4.08243389] -5.3563006792493155 ;\n",
+      "Epoch 710/1000, Cost: 6.6724\n",
+      " and the parameters are [-3.02001593  4.08233137] -5.356358354917365 ;\n",
+      "Epoch 710/1000, Cost: 1.0769\n",
+      " and the parameters are [-3.02007653  4.08232933] -5.3563387149873565 ;\n",
+      "Epoch 710/1000, Cost: 1.9541\n",
+      " and the parameters are [-3.02010298  4.08227413] -5.35638700373447 ;\n",
+      "Epoch 710/1000, Cost: 3.1602\n",
+      " and the parameters are [-3.02016414  4.08224809] -5.356404824150157 ;\n",
+      "Epoch 710/1000, Cost: 1.1124\n",
+      " and the parameters are [-3.02019585  4.08224689] -5.356414203085472 ;\n",
+      "Epoch 710/1000, Cost: 4.4412\n",
+      " and the parameters are [-3.02016088  4.08233969] -5.356377884961441 ;\n",
+      "Epoch 710/1000, Cost: 1.3248\n",
+      " and the parameters are [-3.02016862  4.08234558] -5.356398936831526 ;\n",
+      "Epoch 710/1000, Cost: 4.5150\n",
+      " and the parameters are [-3.02015571  4.08228876] -5.356464916856279 ;\n",
+      "Epoch 710/1000, Cost: 2.2172\n",
+      " and the parameters are [-3.0201919   4.08222988] -5.35651007399642 ;\n",
+      "Epoch 710/1000, Cost: 3.0649\n",
+      " and the parameters are [-3.02028779  4.08214673] -5.356537042314179 ;\n",
+      "Epoch 710/1000, Cost: 1.5880\n",
+      " and the parameters are [-3.02027762  4.08215239] -5.356565945320958 ;\n",
+      "Epoch 710/1000, Cost: 1.7624\n",
+      " and the parameters are [-3.02029778  4.08211312] -5.356604160700048 ;\n",
+      "Epoch 710/1000, Cost: 1.2564\n",
+      " and the parameters are [-3.02031805  4.08208032] -5.356644241187851 ;\n",
+      "Epoch 710/1000, Cost: 1.8811\n",
+      " and the parameters are [-3.02033849  4.0821729 ] -5.356597097887021 ;\n",
+      "Epoch 710/1000, Cost: 3.3362\n",
+      " and the parameters are [-3.02035257  4.08218979] -5.356586455272669 ;\n",
+      "Epoch 710/1000, Cost: 2.4134\n",
+      " and the parameters are [-3.02037373  4.08216639] -5.356615413406914 ;\n",
+      "Epoch 710/1000, Cost: 5.3785\n",
+      " and the parameters are [-3.02036542  4.08221383] -5.356593803919019 ;\n",
+      "Epoch 710/1000, Cost: 1.4690\n",
+      " and the parameters are [-3.02034476  4.08227201] -5.356587618249682 ;\n",
+      "Epoch 710/1000, Cost: 4.8597\n",
+      " and the parameters are [-3.02038361  4.08220718] -5.356610342914579 ;\n",
+      "Epoch 710/1000, Cost: 4.5428\n",
+      " and the parameters are [-3.02047851  4.08221573] -5.356569555208896 ;\n",
+      "Epoch 710/1000, Cost: 1.8234\n",
+      " and the parameters are [-3.02047073  4.08221405] -5.356605538454943 ;\n",
+      "Epoch 710/1000, Cost: 2.0337\n",
+      " and the parameters are [-3.0204352   4.08223625] -5.356634350751031 ;\n",
+      "Epoch 710/1000, Cost: 2.8533\n",
+      " and the parameters are [-3.02053489  4.08213167] -5.356677487675016 ;\n",
+      "Epoch 710/1000, Cost: 5.0679\n",
+      " and the parameters are [-3.02062526  4.08194638] -5.356766362469714 ;\n",
+      "Epoch 710/1000, Cost: 3.5585\n",
+      " and the parameters are [-3.02055525  4.08194065] -5.35683895009062 ;\n",
+      "Epoch 710/1000, Cost: 3.0546\n",
+      " and the parameters are [-3.02053391  4.08199296] -5.356844085873359 ;\n",
+      "Epoch 710/1000, Cost: 1.9888\n",
+      " and the parameters are [-3.0205574   4.08204281] -5.356817452587529 ;\n",
+      "Epoch 710/1000, Cost: 6.1990\n",
+      " and the parameters are [-3.02063035  4.08200825] -5.356803204351453 ;\n",
+      "Epoch 710/1000, Cost: 4.4803\n",
+      " and the parameters are [-3.0206913   4.08200305] -5.356778931704977 ;\n",
+      "Epoch 710/1000, Cost: 2.5767\n",
+      " and the parameters are [-3.0206872   4.08207914] -5.356729455466376 ;\n",
+      "Epoch 710/1000, Cost: 2.8169\n",
+      " and the parameters are [-3.02072818  4.08201011] -5.35678591253198 ;\n",
+      "Epoch 710/1000, Cost: 3.9275\n",
+      " and the parameters are [-3.02070437  4.08197235] -5.356827083800282 ;\n",
+      "Epoch 710/1000, Cost: 2.0099\n",
+      " and the parameters are [-3.02073266  4.08191397] -5.356877296304981 ;\n",
+      "Epoch 710/1000, Cost: 4.2539\n",
+      " and the parameters are [-3.0207004   4.08199031] -5.356860682623935 ;\n",
+      "Epoch 710/1000, Cost: 2.6697\n",
+      " and the parameters are [-3.02074778  4.08187866] -5.356934445060854 ;\n",
+      "Epoch 710/1000, Cost: 1.9839\n",
+      " and the parameters are [-3.02072098  4.08195236] -5.356921849583973 ;\n",
+      "Epoch 710/1000, Cost: 1.5972\n",
+      " and the parameters are [-3.02073943  4.08202961] -5.3568735741792946 ;\n",
+      "Epoch 710/1000, Cost: 5.7593\n",
+      " and the parameters are [-3.02080231  4.08193101] -5.356917998488906 ;\n",
+      "Epoch 710/1000, Cost: 1.9225\n",
+      " and the parameters are [-3.02086014  4.08187158] -5.356960435510913 ;\n",
+      "Epoch 710/1000, Cost: 2.2772\n",
+      " and the parameters are [-3.02088298  4.08190846] -5.356944268375733 ;\n",
+      "Epoch 710/1000, Cost: 1.3185\n",
+      " and the parameters are [-3.02088322  4.08193141] -5.356950672020562 ;\n",
+      "Epoch 710/1000, Cost: 0.9135\n",
+      " and the parameters are [-3.02087185  4.08196636] -5.356953290801077 ;\n",
+      "Epoch 710/1000, Cost: 1.8790\n",
+      " and the parameters are [-3.02080836  4.08207195] -5.356937726968661 ;\n",
+      "Epoch 710/1000, Cost: 4.8608\n",
+      " and the parameters are [-3.0208537   4.08209658] -5.35691521746852 ;\n",
+      "Epoch 710/1000, Cost: 1.0957\n",
+      " and the parameters are [-3.020859    4.08211018] -5.356924431580918 ;\n",
+      "Epoch 710/1000, Cost: 4.8383\n",
+      " and the parameters are [-3.02081319  4.08210045] -5.356957171099344 ;\n",
+      "Epoch 710/1000, Cost: 4.1368\n",
+      " and the parameters are [-3.02075525  4.08223117] -5.356913469255321 ;\n",
+      "Epoch 710/1000, Cost: 3.9627\n",
+      " and the parameters are [-3.02088904  4.08209504] -5.356941721119801 ;\n",
+      "Epoch 710/1000, Cost: 1.3300\n",
+      " and the parameters are [-3.02089842  4.08209671] -5.356963222917142 ;\n",
+      "Epoch 710/1000, Cost: 3.3316\n",
+      " and the parameters are [-3.02094094  4.08214836] -5.356932417221052 ;\n",
+      "Epoch 710/1000, Cost: 4.3348\n",
+      " and the parameters are [-3.0209094   4.08210236] -5.356999819098091 ;\n",
+      "Epoch 710/1000, Cost: 1.3667\n",
+      " and the parameters are [-3.02089314  4.0821137 ] -5.357027542260718 ;\n",
+      "Epoch 710/1000, Cost: 3.0905\n",
+      " and the parameters are [-3.02081381  4.08227495] -5.356977868599897 ;\n",
+      "Epoch 710/1000, Cost: 2.3069\n",
+      " and the parameters are [-3.02082667  4.08228044] -5.356985693918931 ;\n",
+      "Epoch 710/1000, Cost: 3.0412\n",
+      " and the parameters are [-3.02082477  4.08223217] -5.357042151105699 ;\n",
+      "Epoch 710/1000, Cost: 3.1651\n",
+      " and the parameters are [-3.02090868  4.0822223 ] -5.357033166278295 ;\n",
+      "Epoch 710/1000, Cost: 3.4769\n",
+      " and the parameters are [-3.02089288  4.08219923] -5.357077410127443 ;\n",
+      "Epoch 710/1000, Cost: 7.8947\n",
+      " and the parameters are [-3.02079185  4.0822046 ] -5.357116662432137 ;\n",
+      "Epoch 710/1000, Cost: 5.0899\n",
+      " and the parameters are [-3.02076913  4.08225542] -5.357116297906206 ;\n",
+      "Epoch 710/1000, Cost: 2.8982\n",
+      " and the parameters are [-3.02073346  4.08237283] -5.357070518374297 ;\n",
+      "Epoch 710/1000, Cost: 4.8288\n",
+      " and the parameters are [-3.02072705  4.08239935] -5.357071565372472 ;\n",
+      "Epoch 710/1000, Cost: 2.9761\n",
+      " and the parameters are [-3.02076074  4.08227812] -5.3571638639431685 ;\n",
+      "Epoch 710/1000, Cost: 1.0598\n",
+      " and the parameters are [-3.02075808  4.08231778] -5.357153602763015 ;\n",
+      "Epoch 710/1000, Cost: 1.3207\n",
+      " and the parameters are [-3.02076107  4.08236461] -5.3571455306579665 ;\n",
+      "Epoch 710/1000, Cost: 3.8659\n",
+      " and the parameters are [-3.02071312  4.08245548] -5.357125774201164 ;\n",
+      "Epoch 710/1000, Cost: 4.3333\n",
+      " and the parameters are [-3.02074939  4.08246954] -5.357107014148969 ;\n",
+      "Epoch 710/1000, Cost: 1.8436\n",
+      " and the parameters are [-3.02072192  4.0824672 ] -5.3571450130361695 ;\n",
+      "Epoch 710/1000, Cost: 5.3675\n",
+      " and the parameters are [-3.0207671   4.08245933] -5.357113169901262 ;\n",
+      "Epoch 710/1000, Cost: 6.0018\n",
+      " and the parameters are [-3.02073839  4.08247837] -5.357095869268491 ;\n",
+      "Epoch 710/1000, Cost: 5.6981\n",
+      " and the parameters are [-3.02074262  4.08254924] -5.357051474052198 ;\n",
+      "Epoch 710/1000, Cost: 1.6035\n",
+      " and the parameters are [-3.02079483  4.0824762 ] -5.357099672411637 ;\n",
+      "Epoch 710/1000, Cost: 1.2218\n",
+      " and the parameters are [-3.02079931  4.08252283] -5.357086563780804 ;\n",
+      "Epoch 710/1000, Cost: 2.3788\n",
+      " and the parameters are [-3.02082966  4.08246782] -5.357129347769743 ;\n",
+      "Epoch 710/1000, Cost: 3.0049\n",
+      " and the parameters are [-3.02089664  4.08240246] -5.357170017417636 ;\n",
+      "Epoch 710/1000, Cost: 0.7643\n",
+      " and the parameters are [-3.02090666  4.08240551] -5.357180610427335 ;\n",
+      "Epoch 710/1000, Cost: 1.3538\n",
+      " and the parameters are [-3.02094139  4.08243533] -5.357166906729634 ;\n",
+      "Epoch 710/1000, Cost: 2.5668\n",
+      " and the parameters are [-3.02095969  4.08244354] -5.357167982941217 ;\n",
+      "Epoch 710/1000, Cost: 2.4194\n",
+      " and the parameters are [-3.02095037  4.08243751] -5.357195011837531 ;\n",
+      "Epoch 710/1000, Cost: 4.0241\n",
+      " and the parameters are [-3.02098223  4.08238865] -5.357231476427047 ;\n",
+      "Epoch 710/1000, Cost: 1.5822\n",
+      " and the parameters are [-3.02099654  4.08235711] -5.357272542097187 ;\n",
+      "Epoch 710/1000, Cost: 7.5862\n",
+      " and the parameters are [-3.02105001  4.08222289] -5.357326675292118 ;\n",
+      "Epoch 710/1000, Cost: 1.6133\n",
+      " and the parameters are [-3.02108812  4.08225318] -5.35731118518981 ;\n",
+      "Epoch 710/1000, Cost: 1.0412\n",
+      " and the parameters are [-3.02109033  4.08223749] -5.357338706063892 ;\n",
+      "Epoch 710/1000, Cost: 1.4876\n",
+      " and the parameters are [-3.02111833  4.08223357] -5.357354605019506 ;\n",
+      "Epoch 710/1000, Cost: 2.8429\n",
+      " and the parameters are [-3.02109266  4.08230128] -5.357346337671813 ;\n",
+      "Epoch 710/1000, Cost: 2.4292\n",
+      " and the parameters are [-3.02109656  4.08232136] -5.357356067863128 ;\n",
+      "Epoch 710/1000, Cost: 4.4401\n",
+      " and the parameters are [-3.02108939  4.08222206] -5.357446646186667 ;\n",
+      "Epoch 710/1000, Cost: 3.2765\n",
+      " and the parameters are [-3.02104664  4.08220359] -5.357507672271627 ;\n",
+      "Epoch 710/1000, Cost: 2.0223\n",
+      " and the parameters are [-3.02105266  4.08228031] -5.357477095509039 ;\n",
+      "Epoch 710/1000, Cost: 2.4888\n",
+      " and the parameters are [-3.02103151  4.08227205] -5.3575227198015645 ;\n",
+      "Epoch 710/1000, Cost: 1.8092\n",
+      " and the parameters are [-3.02100658  4.08230961] -5.3575230055217835 ;\n",
+      "Epoch 710/1000, Cost: 2.1002\n",
+      " and the parameters are [-3.0210208   4.08238243] -5.357484400165954 ;\n",
+      "Epoch 710/1000, Cost: 3.0069\n",
+      " and the parameters are [-3.02104278  4.08229656] -5.357569311232336 ;\n",
+      "Epoch 710/1000, Cost: 2.4318\n",
+      " and the parameters are [-3.02097958  4.0824365 ] -5.357526258119863 ;\n",
+      "Epoch 710/1000, Cost: 4.6610\n",
+      " and the parameters are [-3.02096147  4.08261284] -5.357415297680867 ;\n",
+      "Epoch 710/1000, Cost: 2.0244\n",
+      " and the parameters are [-3.02096189  4.08268719] -5.357378993990491 ;\n",
+      "Epoch 710/1000, Cost: 3.6450\n",
+      " and the parameters are [-3.02095382  4.08275528] -5.35736880656294 ;\n",
+      "Epoch 710/1000, Cost: 4.9032\n",
+      " and the parameters are [-3.02095163  4.08271938] -5.3573957730600075 ;\n",
+      "Epoch 710/1000, Cost: 2.0695\n",
+      " and the parameters are [-3.02091497  4.08268988] -5.357463879435778 ;\n",
+      "Epoch 710/1000, Cost: 3.9375\n",
+      " and the parameters are [-3.02094458  4.08266405] -5.357484016524838 ;\n",
+      "Epoch 710/1000, Cost: 3.2272\n",
+      " and the parameters are [-3.02087239  4.08269982] -5.357529799634257 ;\n",
+      "Epoch 710/1000, Cost: 6.2450\n",
+      " and the parameters are [-3.02081908  4.08273964] -5.3575202244529505 ;\n",
+      "Epoch 710/1000, Cost: 3.5478\n",
+      " and the parameters are [-3.02081388  4.08279985] -5.357478535855754 ;\n",
+      "Epoch 710/1000, Cost: 5.0610\n",
+      " and the parameters are [-3.02079456  4.08276104] -5.357514434311501 ;\n",
+      "Epoch 710/1000, Cost: 4.3102\n",
+      " and the parameters are [-3.02091242  4.08257842] -5.3576006247557695 ;\n",
+      "Epoch 710/1000, Cost: 2.3726\n",
+      " and the parameters are [-3.02090144  4.08266965] -5.357574826540542 ;\n",
+      "Epoch 710/1000, Cost: 2.6366\n",
+      " and the parameters are [-3.02089826  4.08261122] -5.357649122239965 ;\n",
+      "Epoch 710/1000, Cost: 1.3179\n",
+      " and the parameters are [-3.02089833  4.08262191] -5.3576658042292875 ;\n",
+      "Epoch 710/1000, Cost: 1.0577\n",
+      " and the parameters are [-3.02087686  4.08261862] -5.357698936318032 ;\n",
+      "Epoch 710/1000, Cost: 3.1965\n",
+      " and the parameters are [-3.02091556  4.08254301] -5.357748509997873 ;\n",
+      "Epoch 710/1000, Cost: 2.5873\n",
+      " and the parameters are [-3.02089231  4.08251659] -5.357805348228763 ;\n",
+      "Epoch 710/1000, Cost: 1.9078\n",
+      " and the parameters are [-3.02087731  4.08252187] -5.357835684690704 ;\n",
+      "Epoch 710/1000, Cost: 2.4792\n",
+      " and the parameters are [-3.02082885  4.08259241] -5.3578251376709485 ;\n",
+      "Epoch 710/1000, Cost: 3.9660\n",
+      " and the parameters are [-3.02082154  4.08262386] -5.357823401361535 ;\n",
+      "Epoch 710/1000, Cost: 2.5794\n",
+      " and the parameters are [-3.02081541  4.08271606] -5.357788042544875 ;\n",
+      "Epoch 710/1000, Cost: 1.4766\n",
+      " and the parameters are [-3.0207951   4.08279085] -5.35776157588383 ;\n",
+      "Epoch 710/1000, Cost: 1.7840\n",
+      " and the parameters are [-3.0207652   4.08281588] -5.357786087793584 ;\n",
+      "Epoch 710/1000, Cost: 2.5846\n",
+      " and the parameters are [-3.02068781  4.0828413 ] -5.357834937686337 ;\n",
+      "Epoch 710/1000, Cost: 3.6099\n",
+      " and the parameters are [-3.02070963  4.0828576 ] -5.357832271954289 ;\n",
+      "Epoch 710/1000, Cost: 1.2180\n",
+      " and the parameters are [-3.0207518   4.08285134] -5.3578392726871185 ;\n",
+      "Epoch 720/1000, Cost: 3.6982\n",
+      " and the parameters are [-3.03084178  4.09550729] -5.375848788090302 ;\n",
+      "Epoch 720/1000, Cost: 3.5113\n",
+      " and the parameters are [-3.03093682  4.09535921] -5.37592297360504 ;\n",
+      "Epoch 720/1000, Cost: 3.4994\n",
+      " and the parameters are [-3.03096859  4.09536619] -5.375926226381474 ;\n",
+      "Epoch 720/1000, Cost: 1.1510\n",
+      " and the parameters are [-3.03097446  4.09540161] -5.375921291249957 ;\n",
+      "Epoch 720/1000, Cost: 3.0795\n",
+      " and the parameters are [-3.03103025  4.09526471] -5.376011291171502 ;\n",
+      "Epoch 720/1000, Cost: 2.3072\n",
+      " and the parameters are [-3.0310335   4.09528259] -5.376022032273254 ;\n",
+      "Epoch 720/1000, Cost: 3.1133\n",
+      " and the parameters are [-3.03105017  4.09536127] -5.375963134080733 ;\n",
+      "Epoch 720/1000, Cost: 4.8186\n",
+      " and the parameters are [-3.03106561  4.09539938] -5.3759544947965505 ;\n",
+      "Epoch 720/1000, Cost: 0.8741\n",
+      " and the parameters are [-3.03106859  4.09544155] -5.375939009392502 ;\n",
+      "Epoch 720/1000, Cost: 1.8620\n",
+      " and the parameters are [-3.03106762  4.09542707] -5.375978342022586 ;\n",
+      "Epoch 720/1000, Cost: 2.9992\n",
+      " and the parameters are [-3.03110089  4.09538981] -5.376002979980261 ;\n",
+      "Epoch 720/1000, Cost: 3.4149\n",
+      " and the parameters are [-3.03109     4.09543609] -5.375978453816524 ;\n",
+      "Epoch 720/1000, Cost: 1.6699\n",
+      " and the parameters are [-3.03109529  4.09544549] -5.375987006059994 ;\n",
+      "Epoch 720/1000, Cost: 3.5231\n",
+      " and the parameters are [-3.03111201  4.09545514] -5.375991585173314 ;\n",
+      "Epoch 720/1000, Cost: 2.2608\n",
+      " and the parameters are [-3.03113174  4.09556176] -5.37593598567418 ;\n",
+      "Epoch 720/1000, Cost: 2.3046\n",
+      " and the parameters are [-3.03105573  4.09560872] -5.375968273196884 ;\n",
+      "Epoch 720/1000, Cost: 3.5205\n",
+      " and the parameters are [-3.03112257  4.0955975 ] -5.375958515942955 ;\n",
+      "Epoch 720/1000, Cost: 2.7006\n",
+      " and the parameters are [-3.03115981  4.09556435] -5.375990914417269 ;\n",
+      "Epoch 720/1000, Cost: 1.7566\n",
+      " and the parameters are [-3.03112317  4.09563265] -5.375992679191278 ;\n",
+      "Epoch 720/1000, Cost: 2.4290\n",
+      " and the parameters are [-3.03117863  4.09556052] -5.376038175989592 ;\n",
+      "Epoch 720/1000, Cost: 2.0145\n",
+      " and the parameters are [-3.03118227  4.09554706] -5.3760697760263465 ;\n",
+      "Epoch 720/1000, Cost: 3.0849\n",
+      " and the parameters are [-3.03116445  4.09562399] -5.3760464100801055 ;\n",
+      "Epoch 720/1000, Cost: 1.0189\n",
+      " and the parameters are [-3.03115009  4.09566858] -5.3760472217569255 ;\n",
+      "Epoch 720/1000, Cost: 8.5607\n",
+      " and the parameters are [-3.03113883  4.095542  ] -5.376125006566042 ;\n",
+      "Epoch 720/1000, Cost: 3.5258\n",
+      " and the parameters are [-3.03107034  4.09561738] -5.376137528306228 ;\n",
+      "Epoch 720/1000, Cost: 0.8009\n",
+      " and the parameters are [-3.03107506  4.09565634] -5.376126377095802 ;\n",
+      "Epoch 720/1000, Cost: 2.2653\n",
+      " and the parameters are [-3.03116387  4.09563095] -5.376121982977564 ;\n",
+      "Epoch 720/1000, Cost: 2.9971\n",
+      " and the parameters are [-3.03117271  4.09562201] -5.376145836411517 ;\n",
+      "Epoch 720/1000, Cost: 3.1136\n",
+      " and the parameters are [-3.03113377  4.09571729] -5.376118539806627 ;\n",
+      "Epoch 720/1000, Cost: 9.0714\n",
+      " and the parameters are [-3.03110576  4.09575127] -5.37607890385355 ;\n",
+      "Epoch 720/1000, Cost: 4.4861\n",
+      " and the parameters are [-3.03101014  4.09579741] -5.3761260103304 ;\n",
+      "Epoch 720/1000, Cost: 1.4628\n",
+      " and the parameters are [-3.03104989  4.09578414] -5.376139447087721 ;\n",
+      "Epoch 720/1000, Cost: 5.2746\n",
+      " and the parameters are [-3.03113796  4.09582505] -5.3760645650255 ;\n",
+      "Epoch 720/1000, Cost: 3.4839\n",
+      " and the parameters are [-3.03111339  4.09576358] -5.376146728543197 ;\n",
+      "Epoch 720/1000, Cost: 2.3651\n",
+      " and the parameters are [-3.03117017  4.0957337 ] -5.376157873473501 ;\n",
+      "Epoch 720/1000, Cost: 2.9869\n",
+      " and the parameters are [-3.03114792  4.09572555] -5.376191965887619 ;\n",
+      "Epoch 720/1000, Cost: 2.8470\n",
+      " and the parameters are [-3.03117692  4.09573889] -5.376169584282868 ;\n",
+      "Epoch 720/1000, Cost: 1.0004\n",
+      " and the parameters are [-3.03116317  4.09575701] -5.376187611327359 ;\n",
+      "Epoch 720/1000, Cost: 2.0786\n",
+      " and the parameters are [-3.03118071  4.09576947] -5.37619574762711 ;\n",
+      "Epoch 720/1000, Cost: 3.5648\n",
+      " and the parameters are [-3.03114874  4.09582235] -5.376181387681687 ;\n",
+      "Epoch 720/1000, Cost: 2.5978\n",
+      " and the parameters are [-3.03113197  4.09587116] -5.3761802662958385 ;\n",
+      "Epoch 720/1000, Cost: 4.2956\n",
+      " and the parameters are [-3.03113852  4.09572591] -5.376304260500561 ;\n",
+      "Epoch 720/1000, Cost: 1.8168\n",
+      " and the parameters are [-3.03115421  4.09573734] -5.376308964762889 ;\n",
+      "Epoch 720/1000, Cost: 1.7396\n",
+      " and the parameters are [-3.03117988  4.09566644] -5.376368740087455 ;\n",
+      "Epoch 720/1000, Cost: 4.5181\n",
+      " and the parameters are [-3.03114838  4.09576075] -5.37633631120433 ;\n",
+      "Epoch 720/1000, Cost: 1.4900\n",
+      " and the parameters are [-3.03114924  4.09575383] -5.376369984957446 ;\n",
+      "Epoch 720/1000, Cost: 3.0974\n",
+      " and the parameters are [-3.03111158  4.09584769] -5.376341096259227 ;\n",
+      "Epoch 720/1000, Cost: 1.3209\n",
+      " and the parameters are [-3.03110475  4.09591729] -5.37631875479037 ;\n",
+      "Epoch 720/1000, Cost: 2.2084\n",
+      " and the parameters are [-3.03110978  4.09591358] -5.376336074627927 ;\n",
+      "Epoch 720/1000, Cost: 1.7742\n",
+      " and the parameters are [-3.03112895  4.09594556] -5.376333321109793 ;\n",
+      "Epoch 720/1000, Cost: 4.1946\n",
+      " and the parameters are [-3.03107637  4.09599399] -5.376337677379035 ;\n",
+      "Epoch 720/1000, Cost: 3.3307\n",
+      " and the parameters are [-3.03108313  4.09600972] -5.376339527784328 ;\n",
+      "Epoch 720/1000, Cost: 1.6397\n",
+      " and the parameters are [-3.03108156  4.09602895] -5.376352080759165 ;\n",
+      "Epoch 720/1000, Cost: 1.5169\n",
+      " and the parameters are [-3.03105756  4.09607226] -5.37635882560902 ;\n",
+      "Epoch 720/1000, Cost: 2.2462\n",
+      " and the parameters are [-3.03103182  4.09614709] -5.3763454768653 ;\n",
+      "Epoch 720/1000, Cost: 1.0549\n",
+      " and the parameters are [-3.03104548  4.09615072] -5.37635766289746 ;\n",
+      "Epoch 720/1000, Cost: 4.0328\n",
+      " and the parameters are [-3.03109656  4.0961403 ] -5.376368392773444 ;\n",
+      "Epoch 720/1000, Cost: 3.5368\n",
+      " and the parameters are [-3.03108988  4.09622901] -5.376332769586291 ;\n",
+      "Epoch 720/1000, Cost: 1.5941\n",
+      " and the parameters are [-3.03106395  4.09622979] -5.376367940536303 ;\n",
+      "Epoch 720/1000, Cost: 2.0263\n",
+      " and the parameters are [-3.03111817  4.09628418] -5.376326681125443 ;\n",
+      "Epoch 720/1000, Cost: 2.0988\n",
+      " and the parameters are [-3.03112636  4.09634385] -5.376296625208827 ;\n",
+      "Epoch 720/1000, Cost: 3.3856\n",
+      " and the parameters are [-3.03118041  4.09631914] -5.3763112166256715 ;\n",
+      "Epoch 720/1000, Cost: 1.7543\n",
+      " and the parameters are [-3.03119514  4.09630539] -5.37633914274261 ;\n",
+      "Epoch 720/1000, Cost: 3.0364\n",
+      " and the parameters are [-3.03120075  4.09634957] -5.376311885079141 ;\n",
+      "Epoch 720/1000, Cost: 5.1153\n",
+      " and the parameters are [-3.03121366  4.09627018] -5.3763610245227635 ;\n",
+      "Epoch 720/1000, Cost: 2.2314\n",
+      " and the parameters are [-3.03117746  4.09631009] -5.376388651946063 ;\n",
+      "Epoch 720/1000, Cost: 4.9577\n",
+      " and the parameters are [-3.03112237  4.09644028] -5.376323326921355 ;\n",
+      "Epoch 720/1000, Cost: 3.9575\n",
+      " and the parameters are [-3.03114867  4.09635648] -5.376378750614308 ;\n",
+      "Epoch 720/1000, Cost: 6.8741\n",
+      " and the parameters are [-3.03109743  4.09625817] -5.376488417856705 ;\n",
+      "Epoch 720/1000, Cost: 2.8036\n",
+      " and the parameters are [-3.03112515  4.09617614] -5.376548820623783 ;\n",
+      "Epoch 720/1000, Cost: 2.2076\n",
+      " and the parameters are [-3.03109452  4.09615214] -5.376593218868121 ;\n",
+      "Epoch 720/1000, Cost: 3.0373\n",
+      " and the parameters are [-3.03113568  4.09616973] -5.3765753962941245 ;\n",
+      "Epoch 720/1000, Cost: 1.7620\n",
+      " and the parameters are [-3.03115246  4.09618519] -5.376575214553361 ;\n",
+      "Epoch 720/1000, Cost: 3.8736\n",
+      " and the parameters are [-3.03113704  4.09623605] -5.3765521001140595 ;\n",
+      "Epoch 720/1000, Cost: 0.8337\n",
+      " and the parameters are [-3.0311225   4.09629652] -5.376533282064942 ;\n",
+      "Epoch 720/1000, Cost: 2.9734\n",
+      " and the parameters are [-3.03112928  4.09620333] -5.376608099251562 ;\n",
+      "Epoch 720/1000, Cost: 3.9412\n",
+      " and the parameters are [-3.03112572  4.09611777] -5.376697737670561 ;\n",
+      "Epoch 720/1000, Cost: 3.1745\n",
+      " and the parameters are [-3.03111478  4.09610253] -5.376738930110733 ;\n",
+      "Epoch 720/1000, Cost: 2.4981\n",
+      " and the parameters are [-3.03112137  4.09619789] -5.376686174574931 ;\n",
+      "Epoch 720/1000, Cost: 1.5096\n",
+      " and the parameters are [-3.0310819   4.09621867] -5.376723066846895 ;\n",
+      "Epoch 720/1000, Cost: 1.1562\n",
+      " and the parameters are [-3.03108456  4.09622613] -5.37673567157518 ;\n",
+      "Epoch 720/1000, Cost: 2.3053\n",
+      " and the parameters are [-3.03107972  4.09626243] -5.37672714683141 ;\n",
+      "Epoch 720/1000, Cost: 1.7686\n",
+      " and the parameters are [-3.03107883  4.09631469] -5.376705528012387 ;\n",
+      "Epoch 720/1000, Cost: 2.4712\n",
+      " and the parameters are [-3.03110072  4.09629999] -5.376730300565129 ;\n",
+      "Epoch 720/1000, Cost: 2.8205\n",
+      " and the parameters are [-3.03111379  4.09631905] -5.376719297855345 ;\n",
+      "Epoch 720/1000, Cost: 2.1078\n",
+      " and the parameters are [-3.03103231  4.09636873] -5.376756035733023 ;\n",
+      "Epoch 720/1000, Cost: 4.7211\n",
+      " and the parameters are [-3.03100762  4.09627655] -5.376861360846979 ;\n",
+      "Epoch 720/1000, Cost: 2.0908\n",
+      " and the parameters are [-3.03098284  4.09635569] -5.376849150155559 ;\n",
+      "Epoch 720/1000, Cost: 3.0230\n",
+      " and the parameters are [-3.03102499  4.09626259] -5.376921624462433 ;\n",
+      "Epoch 720/1000, Cost: 3.4137\n",
+      " and the parameters are [-3.03102656  4.09624114] -5.376959919100895 ;\n",
+      "Epoch 720/1000, Cost: 10.9829\n",
+      " and the parameters are [-3.0310299   4.09638431] -5.376815777453683 ;\n",
+      "Epoch 720/1000, Cost: 0.8613\n",
+      " and the parameters are [-3.03105272  4.09638193] -5.376824852931038 ;\n",
+      "Epoch 720/1000, Cost: 2.6439\n",
+      " and the parameters are [-3.0311862   4.09623934] -5.376875842207936 ;\n",
+      "Epoch 720/1000, Cost: 6.0621\n",
+      " and the parameters are [-3.03125999  4.09613299] -5.376902553123303 ;\n",
+      "Epoch 720/1000, Cost: 5.0398\n",
+      " and the parameters are [-3.03122903  4.09605627] -5.376982624249961 ;\n",
+      "Epoch 720/1000, Cost: 3.8194\n",
+      " and the parameters are [-3.03120744  4.09610061] -5.376956217745036 ;\n",
+      "Epoch 720/1000, Cost: 7.0165\n",
+      " and the parameters are [-3.0312137   4.09605199] -5.3769706656738885 ;\n",
+      "Epoch 720/1000, Cost: 2.0002\n",
+      " and the parameters are [-3.03116951  4.09611957] -5.376971764019041 ;\n",
+      "Epoch 720/1000, Cost: 2.9367\n",
+      " and the parameters are [-3.03120054  4.09615345] -5.376965069319454 ;\n",
+      "Epoch 720/1000, Cost: 1.5059\n",
+      " and the parameters are [-3.03124322  4.09617986] -5.376952455407174 ;\n",
+      "Epoch 720/1000, Cost: 5.5309\n",
+      " and the parameters are [-3.03129913  4.09621643] -5.376878265543168 ;\n",
+      "Epoch 720/1000, Cost: 3.4191\n",
+      " and the parameters are [-3.03132741  4.09627777] -5.376834562829367 ;\n",
+      "Epoch 720/1000, Cost: 2.0435\n",
+      " and the parameters are [-3.03133557  4.09625839] -5.376862348362139 ;\n",
+      "Epoch 720/1000, Cost: 2.3777\n",
+      " and the parameters are [-3.03129682  4.09634039] -5.376841217824774 ;\n",
+      "Epoch 720/1000, Cost: 7.4926\n",
+      " and the parameters are [-3.03123994  4.09640281] -5.376827510515418 ;\n",
+      "Epoch 720/1000, Cost: 7.6863\n",
+      " and the parameters are [-3.03120297  4.09637448] -5.376849902429923 ;\n",
+      "Epoch 720/1000, Cost: 5.8007\n",
+      " and the parameters are [-3.03115877  4.09626414] -5.3769689974047 ;\n",
+      "Epoch 720/1000, Cost: 3.3423\n",
+      " and the parameters are [-3.03117643  4.09624124] -5.377008310075722 ;\n",
+      "Epoch 720/1000, Cost: 2.9454\n",
+      " and the parameters are [-3.03117128  4.09636057] -5.3769494810413265 ;\n",
+      "Epoch 720/1000, Cost: 3.1752\n",
+      " and the parameters are [-3.0311804   4.09651594] -5.376851271390792 ;\n",
+      "Epoch 720/1000, Cost: 2.9022\n",
+      " and the parameters are [-3.0311931   4.09657759] -5.376812660322788 ;\n",
+      "Epoch 720/1000, Cost: 1.8251\n",
+      " and the parameters are [-3.03119799  4.09664348] -5.376783420271018 ;\n",
+      "Epoch 720/1000, Cost: 2.3039\n",
+      " and the parameters are [-3.03119669  4.09666874] -5.376787361872048 ;\n",
+      "Epoch 720/1000, Cost: 1.7265\n",
+      " and the parameters are [-3.03123877  4.09669423] -5.376768342173525 ;\n",
+      "Epoch 720/1000, Cost: 3.1069\n",
+      " and the parameters are [-3.03124248  4.09657708] -5.376879668075229 ;\n",
+      "Epoch 720/1000, Cost: 3.2609\n",
+      " and the parameters are [-3.03116214  4.09665073] -5.376897882748783 ;\n",
+      "Epoch 720/1000, Cost: 4.8878\n",
+      " and the parameters are [-3.03112494  4.09666257] -5.376926989201496 ;\n",
+      "Epoch 720/1000, Cost: 2.2438\n",
+      " and the parameters are [-3.03115492  4.09666553] -5.37692744423264 ;\n",
+      "Epoch 720/1000, Cost: 7.5177\n",
+      " and the parameters are [-3.03109079  4.09671293] -5.376925313573165 ;\n",
+      "Epoch 720/1000, Cost: 1.3068\n",
+      " and the parameters are [-3.03109391  4.09670591] -5.376960628264484 ;\n",
+      "Epoch 720/1000, Cost: 3.3862\n",
+      " and the parameters are [-3.03112161  4.09675291] -5.376946456192444 ;\n",
+      "Epoch 720/1000, Cost: 1.3489\n",
+      " and the parameters are [-3.03112286  4.09682267] -5.376917899986731 ;\n",
+      "Epoch 720/1000, Cost: 2.6696\n",
+      " and the parameters are [-3.03110403  4.09688769] -5.376899811033317 ;\n",
+      "Epoch 720/1000, Cost: 5.7128\n",
+      " and the parameters are [-3.03107552  4.09688092] -5.376933614526061 ;\n",
+      "Epoch 720/1000, Cost: 1.7332\n",
+      " and the parameters are [-3.0310927   4.09690856] -5.376931850789763 ;\n",
+      "Epoch 720/1000, Cost: 1.5570\n",
+      " and the parameters are [-3.03111179  4.09693249] -5.376922999048454 ;\n",
+      "Epoch 720/1000, Cost: 2.3766\n",
+      " and the parameters are [-3.03111535  4.09695663] -5.3769271064441275 ;\n",
+      "Epoch 720/1000, Cost: 4.1725\n",
+      " and the parameters are [-3.03100829  4.09706173] -5.376929411943689 ;\n",
+      "Epoch 720/1000, Cost: 1.5291\n",
+      " and the parameters are [-3.0310555   4.09702374] -5.376961962114456 ;\n",
+      "Epoch 720/1000, Cost: 0.6854\n",
+      " and the parameters are [-3.03105694  4.09702663] -5.376977360922385 ;\n",
+      "Epoch 720/1000, Cost: 0.9003\n",
+      " and the parameters are [-3.03105212  4.09707869] -5.37696192079478 ;\n",
+      "Epoch 720/1000, Cost: 2.3844\n",
+      " and the parameters are [-3.03106341  4.097204  ] -5.376875596693643 ;\n",
+      "Epoch 720/1000, Cost: 2.0769\n",
+      " and the parameters are [-3.03111624  4.09715299] -5.376908367638277 ;\n",
+      "Epoch 720/1000, Cost: 2.7102\n",
+      " and the parameters are [-3.03106462  4.09712648] -5.376979089103461 ;\n",
+      "Epoch 720/1000, Cost: 3.6145\n",
+      " and the parameters are [-3.0310712   4.09711053] -5.377006345896333 ;\n",
+      "Epoch 720/1000, Cost: 2.3590\n",
+      " and the parameters are [-3.03109453  4.09719356] -5.3769629141552775 ;\n",
+      "Epoch 720/1000, Cost: 2.9696\n",
+      " and the parameters are [-3.0310805   4.09718186] -5.377005969612867 ;\n",
+      "Epoch 720/1000, Cost: 0.9986\n",
+      " and the parameters are [-3.03110865  4.09719981] -5.376996907350687 ;\n",
+      "Epoch 720/1000, Cost: 1.1049\n",
+      " and the parameters are [-3.03111631  4.09724073] -5.376985108977134 ;\n",
+      "Epoch 720/1000, Cost: 2.3012\n",
+      " and the parameters are [-3.03114289  4.09719177] -5.377032499462269 ;\n",
+      "Epoch 720/1000, Cost: 1.5406\n",
+      " and the parameters are [-3.0311728   4.09724035] -5.377004612368409 ;\n",
+      "Epoch 720/1000, Cost: 6.0487\n",
+      " and the parameters are [-3.03114557  4.09708136] -5.377126472304399 ;\n",
+      "Epoch 720/1000, Cost: 2.7764\n",
+      " and the parameters are [-3.03109728  4.09719587] -5.37709300259108 ;\n",
+      "Epoch 720/1000, Cost: 3.5001\n",
+      " and the parameters are [-3.03114303  4.09717805] -5.377099048825516 ;\n",
+      "Epoch 720/1000, Cost: 1.5272\n",
+      " and the parameters are [-3.03116241  4.0971982 ] -5.3770976913197135 ;\n",
+      "Epoch 720/1000, Cost: 2.0743\n",
+      " and the parameters are [-3.03115309  4.09722496] -5.377106865406727 ;\n",
+      "Epoch 720/1000, Cost: 2.9091\n",
+      " and the parameters are [-3.03122372  4.09722418] -5.377081174792731 ;\n",
+      "Epoch 720/1000, Cost: 3.0440\n",
+      " and the parameters are [-3.03121234  4.09714177] -5.377176712488925 ;\n",
+      "Epoch 720/1000, Cost: 4.8263\n",
+      " and the parameters are [-3.03128269  4.09707268] -5.377183323820032 ;\n",
+      "Epoch 720/1000, Cost: 6.1575\n",
+      " and the parameters are [-3.03132425  4.09697464] -5.377235642626877 ;\n",
+      "Epoch 720/1000, Cost: 0.9304\n",
+      " and the parameters are [-3.03132614  4.09699434] -5.377242623797402 ;\n",
+      "Epoch 720/1000, Cost: 2.5140\n",
+      " and the parameters are [-3.03128934  4.09706307] -5.377226101370828 ;\n",
+      "Epoch 720/1000, Cost: 0.9504\n",
+      " and the parameters are [-3.03128874  4.09711383] -5.377213815746627 ;\n",
+      "Epoch 720/1000, Cost: 4.2111\n",
+      " and the parameters are [-3.03120467  4.09713017] -5.377280624703589 ;\n",
+      "Epoch 720/1000, Cost: 1.9969\n",
+      " and the parameters are [-3.03126966  4.09706777] -5.377315253041161 ;\n",
+      "Epoch 720/1000, Cost: 2.8689\n",
+      " and the parameters are [-3.03129952  4.09708839] -5.377309819699074 ;\n",
+      "Epoch 720/1000, Cost: 2.3477\n",
+      " and the parameters are [-3.0313092   4.09715803] -5.377267703926592 ;\n",
+      "Epoch 720/1000, Cost: 4.7396\n",
+      " and the parameters are [-3.03124025  4.09720982] -5.377261264289299 ;\n",
+      "Epoch 720/1000, Cost: 1.3570\n",
+      " and the parameters are [-3.03123818  4.09729036] -5.377225962471659 ;\n",
+      "Epoch 720/1000, Cost: 2.5256\n",
+      " and the parameters are [-3.03121623  4.09738809] -5.377188449401783 ;\n",
+      "Epoch 720/1000, Cost: 1.8140\n",
+      " and the parameters are [-3.03123439  4.09736459] -5.377224890561616 ;\n",
+      "Epoch 720/1000, Cost: 1.2922\n",
+      " and the parameters are [-3.03125857  4.09736415] -5.377240072198936 ;\n",
+      "Epoch 720/1000, Cost: 5.7252\n",
+      " and the parameters are [-3.03126468  4.09728831] -5.377280592059655 ;\n",
+      "Epoch 720/1000, Cost: 4.1080\n",
+      " and the parameters are [-3.03125012  4.09743143] -5.377205051508903 ;\n",
+      "Epoch 720/1000, Cost: 3.8241\n",
+      " and the parameters are [-3.0312255   4.09741087] -5.377273367656164 ;\n",
+      "Epoch 720/1000, Cost: 3.6007\n",
+      " and the parameters are [-3.03126673  4.09726189] -5.37738289061517 ;\n",
+      "Epoch 720/1000, Cost: 2.3412\n",
+      " and the parameters are [-3.03132679  4.09722133] -5.377415735801265 ;\n",
+      "Epoch 720/1000, Cost: 4.6354\n",
+      " and the parameters are [-3.03143103  4.09714968] -5.3774293825436414 ;\n",
+      "Epoch 720/1000, Cost: 2.7616\n",
+      " and the parameters are [-3.03138683  4.09713835] -5.377482519797765 ;\n",
+      "Epoch 720/1000, Cost: 3.2070\n",
+      " and the parameters are [-3.03138965  4.09715887] -5.377488589627171 ;\n",
+      "Epoch 720/1000, Cost: 9.6014\n",
+      " and the parameters are [-3.03132512  4.09714072] -5.37749586103996 ;\n",
+      "Epoch 720/1000, Cost: 7.9718\n",
+      " and the parameters are [-3.03141578  4.09695723] -5.377582299357888 ;\n",
+      "Epoch 720/1000, Cost: 2.9536\n",
+      " and the parameters are [-3.03143973  4.09697753] -5.377581227816309 ;\n",
+      "Epoch 720/1000, Cost: 1.7850\n",
+      " and the parameters are [-3.03143965  4.09706194] -5.377543440110567 ;\n",
+      "Epoch 720/1000, Cost: 5.3937\n",
+      " and the parameters are [-3.03147487  4.09690673] -5.377674631840862 ;\n",
+      "Epoch 720/1000, Cost: 3.4451\n",
+      " and the parameters are [-3.03152483  4.09692093] -5.3776486028566834 ;\n",
+      "Epoch 720/1000, Cost: 1.0765\n",
+      " and the parameters are [-3.03152476  4.09694203] -5.377654158883957 ;\n",
+      "Epoch 720/1000, Cost: 4.2596\n",
+      " and the parameters are [-3.03157081  4.09678185] -5.377779344157041 ;\n",
+      "Epoch 720/1000, Cost: 2.7031\n",
+      " and the parameters are [-3.03159513  4.09687079] -5.377710748618511 ;\n",
+      "Epoch 720/1000, Cost: 0.8494\n",
+      " and the parameters are [-3.03160325  4.09690422] -5.377698468275736 ;\n",
+      "Epoch 720/1000, Cost: 1.3774\n",
+      " and the parameters are [-3.03162661  4.09685   ] -5.377745037721872 ;\n",
+      "Epoch 720/1000, Cost: 3.1829\n",
+      " and the parameters are [-3.03163137  4.09681744] -5.377778938969324 ;\n",
+      "Epoch 720/1000, Cost: 2.4610\n",
+      " and the parameters are [-3.03168864  4.09683527] -5.377757549230491 ;\n",
+      "Epoch 720/1000, Cost: 5.7307\n",
+      " and the parameters are [-3.03168635  4.09689913] -5.377694518754251 ;\n",
+      "Epoch 720/1000, Cost: 7.5103\n",
+      " and the parameters are [-3.0317037   4.09681532] -5.377742350027873 ;\n",
+      "Epoch 720/1000, Cost: 2.7891\n",
+      " and the parameters are [-3.031711    4.09690859] -5.377686563869546 ;\n",
+      "Epoch 720/1000, Cost: 4.8670\n",
+      " and the parameters are [-3.03178124  4.09683997] -5.377707458042743 ;\n",
+      "Epoch 720/1000, Cost: 1.6394\n",
+      " and the parameters are [-3.03181348  4.09681926] -5.377726977559462 ;\n",
+      "Epoch 720/1000, Cost: 2.4840\n",
+      " and the parameters are [-3.03178375  4.09686461] -5.377743590209673 ;\n",
+      "Epoch 720/1000, Cost: 7.2036\n",
+      " and the parameters are [-3.03181176  4.09680544] -5.377769772121277 ;\n",
+      "Epoch 720/1000, Cost: 4.4469\n",
+      " and the parameters are [-3.03183995  4.09672495] -5.377819880889264 ;\n",
+      "Epoch 720/1000, Cost: 1.3602\n",
+      " and the parameters are [-3.03187091  4.09667564] -5.37785841914314 ;\n",
+      "Epoch 720/1000, Cost: 1.8631\n",
+      " and the parameters are [-3.03186917  4.09675661] -5.377828038279515 ;\n",
+      "Epoch 720/1000, Cost: 1.7647\n",
+      " and the parameters are [-3.03189841  4.09677229] -5.3778238148630395 ;\n",
+      "Epoch 720/1000, Cost: 3.1156\n",
+      " and the parameters are [-3.0319864   4.09672038] -5.377843433149063 ;\n",
+      "Epoch 720/1000, Cost: 1.8808\n",
+      " and the parameters are [-3.03206246  4.09661776] -5.377891211250259 ;\n",
+      "Epoch 720/1000, Cost: 2.5389\n",
+      " and the parameters are [-3.03207947  4.09667458] -5.3778636046472625 ;\n",
+      "Epoch 720/1000, Cost: 3.2524\n",
+      " and the parameters are [-3.03207681  4.09672478] -5.377834172103043 ;\n",
+      "Epoch 720/1000, Cost: 3.9533\n",
+      " and the parameters are [-3.03204104  4.09678194] -5.377827280193815 ;\n",
+      "Epoch 720/1000, Cost: 3.4093\n",
+      " and the parameters are [-3.03198248  4.09684564] -5.377841252269304 ;\n",
+      "Epoch 730/1000, Cost: 2.6371\n",
+      " and the parameters are [-3.04202753  4.10930046] -5.395588557677297 ;\n",
+      "Epoch 730/1000, Cost: 0.9775\n",
+      " and the parameters are [-3.04205612  4.10930586] -5.395592731818738 ;\n",
+      "Epoch 730/1000, Cost: 4.6988\n",
+      " and the parameters are [-3.04197927  4.1094354 ] -5.395544083833797 ;\n",
+      "Epoch 730/1000, Cost: 2.1452\n",
+      " and the parameters are [-3.04197015  4.10944517] -5.395566896463205 ;\n",
+      "Epoch 730/1000, Cost: 1.8567\n",
+      " and the parameters are [-3.04194362  4.10946752] -5.395592925003894 ;\n",
+      "Epoch 730/1000, Cost: 3.6716\n",
+      " and the parameters are [-3.04199091  4.10936312] -5.395668229799838 ;\n",
+      "Epoch 730/1000, Cost: 2.5320\n",
+      " and the parameters are [-3.04198227  4.1094026 ] -5.395660982929572 ;\n",
+      "Epoch 730/1000, Cost: 2.8444\n",
+      " and the parameters are [-3.04202366  4.10935634] -5.395690516770769 ;\n",
+      "Epoch 730/1000, Cost: 1.6581\n",
+      " and the parameters are [-3.04196716  4.10940185] -5.395717114966021 ;\n",
+      "Epoch 730/1000, Cost: 1.9719\n",
+      " and the parameters are [-3.04190988  4.10940143] -5.395773690684953 ;\n",
+      "Epoch 730/1000, Cost: 3.2242\n",
+      " and the parameters are [-3.04189519  4.10948552] -5.395739748768545 ;\n",
+      "Epoch 730/1000, Cost: 2.9810\n",
+      " and the parameters are [-3.0418841   4.10955634] -5.395709912605031 ;\n",
+      "Epoch 730/1000, Cost: 1.4710\n",
+      " and the parameters are [-3.04191846  4.10951069] -5.395742050118345 ;\n",
+      "Epoch 730/1000, Cost: 2.8299\n",
+      " and the parameters are [-3.04197129  4.1094925 ] -5.395743540508717 ;\n",
+      "Epoch 730/1000, Cost: 1.4371\n",
+      " and the parameters are [-3.04194078  4.10948709] -5.395790361593223 ;\n",
+      "Epoch 730/1000, Cost: 3.3357\n",
+      " and the parameters are [-3.04193277  4.10939374] -5.395885983432466 ;\n",
+      "Epoch 730/1000, Cost: 4.5837\n",
+      " and the parameters are [-3.04192673  4.10936891] -5.395926729042361 ;\n",
+      "Epoch 730/1000, Cost: 1.2691\n",
+      " and the parameters are [-3.04192224  4.10937831] -5.395950170221521 ;\n",
+      "Epoch 730/1000, Cost: 3.6189\n",
+      " and the parameters are [-3.04193353  4.10947737] -5.3959030324853545 ;\n",
+      "Epoch 730/1000, Cost: 0.9721\n",
+      " and the parameters are [-3.04191337  4.10953083] -5.395897097187327 ;\n",
+      "Epoch 730/1000, Cost: 1.6231\n",
+      " and the parameters are [-3.04190682  4.10955666] -5.395904875831858 ;\n",
+      "Epoch 730/1000, Cost: 1.7024\n",
+      " and the parameters are [-3.0419269   4.10952184] -5.39594440605637 ;\n",
+      "Epoch 730/1000, Cost: 6.9002\n",
+      " and the parameters are [-3.04193354  4.1095809 ] -5.395893203092397 ;\n",
+      "Epoch 730/1000, Cost: 3.3522\n",
+      " and the parameters are [-3.04201729  4.10953568] -5.395907590199276 ;\n",
+      "Epoch 730/1000, Cost: 4.6570\n",
+      " and the parameters are [-3.04186273  4.10955819] -5.396000768004894 ;\n",
+      "Epoch 730/1000, Cost: 2.0351\n",
+      " and the parameters are [-3.04185636  4.10952887] -5.396042814289664 ;\n",
+      "Epoch 730/1000, Cost: 2.5960\n",
+      " and the parameters are [-3.0419079   4.10956971] -5.395999580201227 ;\n",
+      "Epoch 730/1000, Cost: 2.6674\n",
+      " and the parameters are [-3.04193325  4.10964842] -5.395941578366158 ;\n",
+      "Epoch 730/1000, Cost: 4.0693\n",
+      " and the parameters are [-3.04196017  4.10964866] -5.395936615669574 ;\n",
+      "Epoch 730/1000, Cost: 4.2052\n",
+      " and the parameters are [-3.04195288  4.1097053 ] -5.395918908703487 ;\n",
+      "Epoch 730/1000, Cost: 1.6201\n",
+      " and the parameters are [-3.04192574  4.10973142] -5.395938405422572 ;\n",
+      "Epoch 730/1000, Cost: 3.9253\n",
+      " and the parameters are [-3.04193085  4.10983031] -5.395881258402397 ;\n",
+      "Epoch 730/1000, Cost: 1.3705\n",
+      " and the parameters are [-3.04193986  4.10981331] -5.395915773306677 ;\n",
+      "Epoch 730/1000, Cost: 0.8138\n",
+      " and the parameters are [-3.04193865  4.10982897] -5.395924618677523 ;\n",
+      "Epoch 730/1000, Cost: 3.7781\n",
+      " and the parameters are [-3.04198101  4.10969788] -5.3960204596357535 ;\n",
+      "Epoch 730/1000, Cost: 0.8887\n",
+      " and the parameters are [-3.04199628  4.10969587] -5.396036560292011 ;\n",
+      "Epoch 730/1000, Cost: 3.6822\n",
+      " and the parameters are [-3.041956    4.10977182] -5.396026483296086 ;\n",
+      "Epoch 730/1000, Cost: 3.2533\n",
+      " and the parameters are [-3.04197585  4.10984933] -5.395965498201207 ;\n",
+      "Epoch 730/1000, Cost: 3.4720\n",
+      " and the parameters are [-3.04202804  4.10992469] -5.395890265773756 ;\n",
+      "Epoch 730/1000, Cost: 2.8663\n",
+      " and the parameters are [-3.04205483  4.10987798] -5.395916769647056 ;\n",
+      "Epoch 730/1000, Cost: 9.6915\n",
+      " and the parameters are [-3.04195936  4.1099956 ] -5.395834438389208 ;\n",
+      "Epoch 730/1000, Cost: 1.7430\n",
+      " and the parameters are [-3.04193629  4.11003581] -5.395842507823196 ;\n",
+      "Epoch 730/1000, Cost: 1.6866\n",
+      " and the parameters are [-3.04188924  4.11004538] -5.395888749891806 ;\n",
+      "Epoch 730/1000, Cost: 6.0667\n",
+      " and the parameters are [-3.04198806  4.10980833] -5.396012939341539 ;\n",
+      "Epoch 730/1000, Cost: 3.3387\n",
+      " and the parameters are [-3.04194511  4.10982776] -5.3960339908472825 ;\n",
+      "Epoch 730/1000, Cost: 3.6693\n",
+      " and the parameters are [-3.04196283  4.10989275] -5.395990891309094 ;\n",
+      "Epoch 730/1000, Cost: 1.7764\n",
+      " and the parameters are [-3.04198099  4.10989961] -5.395997289604075 ;\n",
+      "Epoch 730/1000, Cost: 2.3579\n",
+      " and the parameters are [-3.04199671  4.10988248] -5.396029653265044 ;\n",
+      "Epoch 730/1000, Cost: 1.1744\n",
+      " and the parameters are [-3.0420179   4.10990508] -5.396024870857578 ;\n",
+      "Epoch 730/1000, Cost: 3.8714\n",
+      " and the parameters are [-3.04202442  4.10995528] -5.395986628014933 ;\n",
+      "Epoch 730/1000, Cost: 3.8154\n",
+      " and the parameters are [-3.04206386  4.10996319] -5.395973022877497 ;\n",
+      "Epoch 730/1000, Cost: 1.2676\n",
+      " and the parameters are [-3.04203373  4.11000749] -5.395981361778193 ;\n",
+      "Epoch 730/1000, Cost: 1.9394\n",
+      " and the parameters are [-3.04200509  4.11012395] -5.395945836997193 ;\n",
+      "Epoch 730/1000, Cost: 2.0291\n",
+      " and the parameters are [-3.04198653  4.11012061] -5.395984627229992 ;\n",
+      "Epoch 730/1000, Cost: 2.6561\n",
+      " and the parameters are [-3.04198122  4.11007773] -5.396039561159271 ;\n",
+      "Epoch 730/1000, Cost: 1.6210\n",
+      " and the parameters are [-3.04197918  4.11007939] -5.396063414955933 ;\n",
+      "Epoch 730/1000, Cost: 3.1790\n",
+      " and the parameters are [-3.042067    4.10999333] -5.396085657706421 ;\n",
+      "Epoch 730/1000, Cost: 2.4211\n",
+      " and the parameters are [-3.04210667  4.10999035] -5.39609394665516 ;\n",
+      "Epoch 730/1000, Cost: 1.7358\n",
+      " and the parameters are [-3.04209233  4.11001856] -5.3961130595022535 ;\n",
+      "Epoch 730/1000, Cost: 5.1203\n",
+      " and the parameters are [-3.04206136  4.11008334] -5.396071039745473 ;\n",
+      "Epoch 730/1000, Cost: 4.0730\n",
+      " and the parameters are [-3.0420607   4.10999776] -5.396129160946103 ;\n",
+      "Epoch 730/1000, Cost: 2.5423\n",
+      " and the parameters are [-3.04202495  4.11008842] -5.396105787999435 ;\n",
+      "Epoch 730/1000, Cost: 5.5438\n",
+      " and the parameters are [-3.04197869  4.11010637] -5.396124718647017 ;\n",
+      "Epoch 730/1000, Cost: 3.1019\n",
+      " and the parameters are [-3.04194283  4.11015031] -5.3961276244881855 ;\n",
+      "Epoch 730/1000, Cost: 2.4646\n",
+      " and the parameters are [-3.04193869  4.11019656] -5.396121101558354 ;\n",
+      "Epoch 730/1000, Cost: 5.6785\n",
+      " and the parameters are [-3.04203178  4.11000018] -5.396233072645831 ;\n",
+      "Epoch 730/1000, Cost: 1.6388\n",
+      " and the parameters are [-3.0419994   4.11005253] -5.396238405860305 ;\n",
+      "Epoch 730/1000, Cost: 2.0129\n",
+      " and the parameters are [-3.04199029  4.11002038] -5.396274475710491 ;\n",
+      "Epoch 730/1000, Cost: 2.2813\n",
+      " and the parameters are [-3.04200617  4.1100692 ] -5.3962439110879155 ;\n",
+      "Epoch 730/1000, Cost: 3.2406\n",
+      " and the parameters are [-3.04197313  4.11011132] -5.396242175813729 ;\n",
+      "Epoch 730/1000, Cost: 4.1948\n",
+      " and the parameters are [-3.04188848  4.11025069] -5.396191797447704 ;\n",
+      "Epoch 730/1000, Cost: 3.6741\n",
+      " and the parameters are [-3.04188808  4.11017623] -5.396274775047089 ;\n",
+      "Epoch 730/1000, Cost: 1.8577\n",
+      " and the parameters are [-3.04185177  4.11027533] -5.396245022809551 ;\n",
+      "Epoch 730/1000, Cost: 4.6065\n",
+      " and the parameters are [-3.04198986  4.11021422] -5.396246641908783 ;\n",
+      "Epoch 730/1000, Cost: 1.3866\n",
+      " and the parameters are [-3.04196308  4.11020929] -5.396285614109544 ;\n",
+      "Epoch 730/1000, Cost: 1.2817\n",
+      " and the parameters are [-3.04195143  4.11019693] -5.39632702974198 ;\n",
+      "Epoch 730/1000, Cost: 6.3110\n",
+      " and the parameters are [-3.04190841  4.11027185] -5.396265078339639 ;\n",
+      "Epoch 730/1000, Cost: 3.1635\n",
+      " and the parameters are [-3.04193264  4.11029578] -5.396270034837085 ;\n",
+      "Epoch 730/1000, Cost: 4.4893\n",
+      " and the parameters are [-3.0420235   4.11020283] -5.396295648997174 ;\n",
+      "Epoch 730/1000, Cost: 2.2921\n",
+      " and the parameters are [-3.04197623  4.11023823] -5.396328820733967 ;\n",
+      "Epoch 730/1000, Cost: 4.3824\n",
+      " and the parameters are [-3.04201114  4.11015586] -5.396370687224242 ;\n",
+      "Epoch 730/1000, Cost: 1.8613\n",
+      " and the parameters are [-3.04202331  4.11014586] -5.396388729408336 ;\n",
+      "Epoch 730/1000, Cost: 3.9573\n",
+      " and the parameters are [-3.04203892  4.11007031] -5.3964497732638605 ;\n",
+      "Epoch 730/1000, Cost: 3.3404\n",
+      " and the parameters are [-3.04203506  4.11009962] -5.396445066518032 ;\n",
+      "Epoch 730/1000, Cost: 3.0870\n",
+      " and the parameters are [-3.04204349  4.110146  ] -5.396435586148803 ;\n",
+      "Epoch 730/1000, Cost: 3.9345\n",
+      " and the parameters are [-3.04199779  4.11020767] -5.396424017268041 ;\n",
+      "Epoch 730/1000, Cost: 1.3275\n",
+      " and the parameters are [-3.04197375  4.11025791] -5.396422058535035 ;\n",
+      "Epoch 730/1000, Cost: 4.8569\n",
+      " and the parameters are [-3.04196263  4.11035154] -5.396373254523825 ;\n",
+      "Epoch 730/1000, Cost: 3.4649\n",
+      " and the parameters are [-3.04193769  4.11036758] -5.396396280462378 ;\n",
+      "Epoch 730/1000, Cost: 5.4521\n",
+      " and the parameters are [-3.0419499   4.11042944] -5.396366025206742 ;\n",
+      "Epoch 730/1000, Cost: 2.8916\n",
+      " and the parameters are [-3.04194317  4.11038593] -5.3964243004563635 ;\n",
+      "Epoch 730/1000, Cost: 1.8395\n",
+      " and the parameters are [-3.04190932  4.11040251] -5.396453873896777 ;\n",
+      "Epoch 730/1000, Cost: 2.6605\n",
+      " and the parameters are [-3.04193022  4.11044962] -5.396436502282033 ;\n",
+      "Epoch 730/1000, Cost: 2.6899\n",
+      " and the parameters are [-3.04192111  4.11044607] -5.396456109056283 ;\n",
+      "Epoch 730/1000, Cost: 3.9256\n",
+      " and the parameters are [-3.04187234  4.1105758 ] -5.396403706933489 ;\n",
+      "Epoch 730/1000, Cost: 3.1830\n",
+      " and the parameters are [-3.04178719  4.11058611] -5.396466000136278 ;\n",
+      "Epoch 730/1000, Cost: 5.7113\n",
+      " and the parameters are [-3.04175233  4.11046728] -5.396572659275375 ;\n",
+      "Epoch 730/1000, Cost: 0.8867\n",
+      " and the parameters are [-3.041745   4.1104693] -5.396598042204501 ;\n",
+      "Epoch 730/1000, Cost: 2.8671\n",
+      " and the parameters are [-3.04172004  4.11048649] -5.3966207799519275 ;\n",
+      "Epoch 730/1000, Cost: 1.6716\n",
+      " and the parameters are [-3.04172679  4.11051405] -5.396619623366961 ;\n",
+      "Epoch 730/1000, Cost: 6.1056\n",
+      " and the parameters are [-3.04166683  4.1106347 ] -5.396553565151547 ;\n",
+      "Epoch 730/1000, Cost: 2.8369\n",
+      " and the parameters are [-3.04158872  4.11077188] -5.396525314963318 ;\n",
+      "Epoch 730/1000, Cost: 1.2841\n",
+      " and the parameters are [-3.0415614  4.1108099] -5.396534593741371 ;\n",
+      "Epoch 730/1000, Cost: 1.3500\n",
+      " and the parameters are [-3.04157309  4.11087253] -5.396502325413415 ;\n",
+      "Epoch 730/1000, Cost: 1.9809\n",
+      " and the parameters are [-3.04157456  4.11084964] -5.3965439703188 ;\n",
+      "Epoch 730/1000, Cost: 1.6330\n",
+      " and the parameters are [-3.04159782  4.11078273] -5.396610487806211 ;\n",
+      "Epoch 730/1000, Cost: 5.2416\n",
+      " and the parameters are [-3.04158877  4.11078682] -5.396597953035673 ;\n",
+      "Epoch 730/1000, Cost: 1.9982\n",
+      " and the parameters are [-3.04163711  4.11084831] -5.39654120536827 ;\n",
+      "Epoch 730/1000, Cost: 2.3718\n",
+      " and the parameters are [-3.04166083  4.11079945] -5.396597902056156 ;\n",
+      "Epoch 730/1000, Cost: 3.9591\n",
+      " and the parameters are [-3.04174462  4.11074513] -5.396600029810991 ;\n",
+      "Epoch 730/1000, Cost: 4.1951\n",
+      " and the parameters are [-3.04175192  4.11073648] -5.396623722961559 ;\n",
+      "Epoch 730/1000, Cost: 3.7496\n",
+      " and the parameters are [-3.04171081  4.11070874] -5.396677970899311 ;\n",
+      "Epoch 730/1000, Cost: 5.2935\n",
+      " and the parameters are [-3.04170842  4.11075798] -5.396660334895907 ;\n",
+      "Epoch 730/1000, Cost: 5.4921\n",
+      " and the parameters are [-3.04174803  4.11068395] -5.3967273581851245 ;\n",
+      "Epoch 730/1000, Cost: 3.8723\n",
+      " and the parameters are [-3.04175181  4.11072383] -5.396701713434383 ;\n",
+      "Epoch 730/1000, Cost: 1.7290\n",
+      " and the parameters are [-3.04176356  4.11076616] -5.396695954194587 ;\n",
+      "Epoch 730/1000, Cost: 3.3927\n",
+      " and the parameters are [-3.04172787  4.11075561] -5.396736554226061 ;\n",
+      "Epoch 730/1000, Cost: 1.2533\n",
+      " and the parameters are [-3.04174148  4.11080554] -5.396715644871601 ;\n",
+      "Epoch 730/1000, Cost: 1.3370\n",
+      " and the parameters are [-3.04174073  4.11086061] -5.396704913378542 ;\n",
+      "Epoch 730/1000, Cost: 7.3695\n",
+      " and the parameters are [-3.04174978  4.11065279] -5.396847936010856 ;\n",
+      "Epoch 730/1000, Cost: 1.1958\n",
+      " and the parameters are [-3.04176371  4.11063857] -5.396877382251172 ;\n",
+      "Epoch 730/1000, Cost: 2.1624\n",
+      " and the parameters are [-3.04173122  4.11065637] -5.396907376965833 ;\n",
+      "Epoch 730/1000, Cost: 1.0580\n",
+      " and the parameters are [-3.04174631  4.1106974 ] -5.396888921736598 ;\n",
+      "Epoch 730/1000, Cost: 2.9740\n",
+      " and the parameters are [-3.04176431  4.11075574] -5.396856997988345 ;\n",
+      "Epoch 730/1000, Cost: 1.6463\n",
+      " and the parameters are [-3.04178961  4.11079715] -5.396823112413449 ;\n",
+      "Epoch 730/1000, Cost: 3.4879\n",
+      " and the parameters are [-3.04178479  4.11086897] -5.3968066054637776 ;\n",
+      "Epoch 730/1000, Cost: 2.2272\n",
+      " and the parameters are [-3.04183789  4.11091346] -5.39677822575554 ;\n",
+      "Epoch 730/1000, Cost: 2.6010\n",
+      " and the parameters are [-3.04182401  4.1110146 ] -5.396736905139233 ;\n",
+      "Epoch 730/1000, Cost: 3.4750\n",
+      " and the parameters are [-3.0417648  4.1109989] -5.396795353290853 ;\n",
+      "Epoch 730/1000, Cost: 3.1852\n",
+      " and the parameters are [-3.04184615  4.11103252] -5.396756833736786 ;\n",
+      "Epoch 730/1000, Cost: 4.2020\n",
+      " and the parameters are [-3.04183727  4.11096416] -5.396834394070428 ;\n",
+      "Epoch 730/1000, Cost: 1.8092\n",
+      " and the parameters are [-3.04180594  4.11099611] -5.39685545773554 ;\n",
+      "Epoch 730/1000, Cost: 7.7672\n",
+      " and the parameters are [-3.04188176  4.11076376] -5.3969754707642945 ;\n",
+      "Epoch 730/1000, Cost: 3.2403\n",
+      " and the parameters are [-3.04190067  4.11075511] -5.396981886410175 ;\n",
+      "Epoch 730/1000, Cost: 2.8939\n",
+      " and the parameters are [-3.04196295  4.11074717] -5.396970538154979 ;\n",
+      "Epoch 730/1000, Cost: 2.5900\n",
+      " and the parameters are [-3.04198215  4.11079025] -5.396953538059671 ;\n",
+      "Epoch 730/1000, Cost: 4.5742\n",
+      " and the parameters are [-3.04187408  4.1108149 ] -5.3969942197697485 ;\n",
+      "Epoch 730/1000, Cost: 1.9617\n",
+      " and the parameters are [-3.04186984  4.11090119] -5.396953795152579 ;\n",
+      "Epoch 730/1000, Cost: 0.6931\n",
+      " and the parameters are [-3.04185598  4.11094247] -5.396947090753854 ;\n",
+      "Epoch 730/1000, Cost: 2.2709\n",
+      " and the parameters are [-3.04186593  4.11099469] -5.396924765047504 ;\n",
+      "Epoch 730/1000, Cost: 3.5838\n",
+      " and the parameters are [-3.04194088  4.11097711] -5.396918807480421 ;\n",
+      "Epoch 730/1000, Cost: 1.4309\n",
+      " and the parameters are [-3.04193581  4.11098056] -5.396947965074616 ;\n",
+      "Epoch 730/1000, Cost: 2.0704\n",
+      " and the parameters are [-3.04199582  4.11090296] -5.396998266234465 ;\n",
+      "Epoch 730/1000, Cost: 3.5376\n",
+      " and the parameters are [-3.04207051  4.11086314] -5.3970005179174025 ;\n",
+      "Epoch 730/1000, Cost: 4.9870\n",
+      " and the parameters are [-3.0421198  4.110711 ] -5.397084736420105 ;\n",
+      "Epoch 730/1000, Cost: 2.1436\n",
+      " and the parameters are [-3.04207804  4.11079705] -5.397066619575898 ;\n",
+      "Epoch 730/1000, Cost: 2.5588\n",
+      " and the parameters are [-3.04209535  4.11084989] -5.397049101775422 ;\n",
+      "Epoch 730/1000, Cost: 4.0513\n",
+      " and the parameters are [-3.04203484  4.11093617] -5.397040303882698 ;\n",
+      "Epoch 730/1000, Cost: 1.6677\n",
+      " and the parameters are [-3.04202978  4.11092837] -5.397071520854876 ;\n",
+      "Epoch 730/1000, Cost: 1.6571\n",
+      " and the parameters are [-3.04206105  4.11101318] -5.39702505830299 ;\n",
+      "Epoch 730/1000, Cost: 10.6361\n",
+      " and the parameters are [-3.04186874  4.11104273] -5.3970733842050125 ;\n",
+      "Epoch 730/1000, Cost: 1.9916\n",
+      " and the parameters are [-3.04182454  4.11103025] -5.397122545297562 ;\n",
+      "Epoch 730/1000, Cost: 2.7493\n",
+      " and the parameters are [-3.04183895  4.11106386] -5.397106601142177 ;\n",
+      "Epoch 730/1000, Cost: 3.8503\n",
+      " and the parameters are [-3.0418507   4.11104293] -5.397130452909115 ;\n",
+      "Epoch 730/1000, Cost: 2.4651\n",
+      " and the parameters are [-3.04189184  4.11094991] -5.397202082384575 ;\n",
+      "Epoch 730/1000, Cost: 1.3054\n",
+      " and the parameters are [-3.04187981  4.11099252] -5.397203699227528 ;\n",
+      "Epoch 730/1000, Cost: 1.4416\n",
+      " and the parameters are [-3.04191369  4.11101755] -5.397186623618123 ;\n",
+      "Epoch 730/1000, Cost: 4.6746\n",
+      " and the parameters are [-3.04186779  4.11102716] -5.397221189827988 ;\n",
+      "Epoch 730/1000, Cost: 1.5956\n",
+      " and the parameters are [-3.04183296  4.11101012] -5.397270967331327 ;\n",
+      "Epoch 730/1000, Cost: 2.1379\n",
+      " and the parameters are [-3.04185741  4.11105178] -5.397248465581858 ;\n",
+      "Epoch 730/1000, Cost: 3.4450\n",
+      " and the parameters are [-3.04182359  4.11113196] -5.397217219064507 ;\n",
+      "Epoch 730/1000, Cost: 3.0827\n",
+      " and the parameters are [-3.04184083  4.11106993] -5.397274118056905 ;\n",
+      "Epoch 730/1000, Cost: 2.9672\n",
+      " and the parameters are [-3.04180351  4.11118721] -5.3972383404136615 ;\n",
+      "Epoch 730/1000, Cost: 3.9323\n",
+      " and the parameters are [-3.04176492  4.11121844] -5.397265563981578 ;\n",
+      "Epoch 730/1000, Cost: 3.0579\n",
+      " and the parameters are [-3.04182309  4.11120796] -5.397248024174044 ;\n",
+      "Epoch 730/1000, Cost: 1.5366\n",
+      " and the parameters are [-3.04181144  4.11129641] -5.397204332831419 ;\n",
+      "Epoch 730/1000, Cost: 4.8562\n",
+      " and the parameters are [-3.04188994  4.11120223] -5.397251452357009 ;\n",
+      "Epoch 730/1000, Cost: 1.5561\n",
+      " and the parameters are [-3.0418835   4.11126222] -5.397233118167829 ;\n",
+      "Epoch 730/1000, Cost: 2.6904\n",
+      " and the parameters are [-3.04192679  4.11134593] -5.3971693485236525 ;\n",
+      "Epoch 730/1000, Cost: 1.3740\n",
+      " and the parameters are [-3.04189797  4.11139385] -5.397172014783788 ;\n",
+      "Epoch 730/1000, Cost: 3.2389\n",
+      " and the parameters are [-3.0420247   4.11124138] -5.3972380435158245 ;\n",
+      "Epoch 730/1000, Cost: 4.5587\n",
+      " and the parameters are [-3.04213546  4.11121352] -5.397219601303484 ;\n",
+      "Epoch 730/1000, Cost: 3.8562\n",
+      " and the parameters are [-3.04215936  4.11114881] -5.397255717046143 ;\n",
+      "Epoch 730/1000, Cost: 3.9642\n",
+      " and the parameters are [-3.0422499   4.11100632] -5.3973378190922245 ;\n",
+      "Epoch 730/1000, Cost: 1.4736\n",
+      " and the parameters are [-3.04223772  4.1110285 ] -5.397349522962609 ;\n",
+      "Epoch 730/1000, Cost: 2.8458\n",
+      " and the parameters are [-3.04224299  4.11110975] -5.397310364909483 ;\n",
+      "Epoch 730/1000, Cost: 3.0666\n",
+      " and the parameters are [-3.04226064  4.11105122] -5.397376953665379 ;\n",
+      "Epoch 730/1000, Cost: 7.0856\n",
+      " and the parameters are [-3.04224879  4.11094288] -5.3974531592391175 ;\n",
+      "Epoch 730/1000, Cost: 9.1362\n",
+      " and the parameters are [-3.04231273  4.11092776] -5.397401704737012 ;\n",
+      "Epoch 730/1000, Cost: 4.5559\n",
+      " and the parameters are [-3.0423435   4.11092878] -5.3974110985044526 ;\n",
+      "Epoch 730/1000, Cost: 4.0176\n",
+      " and the parameters are [-3.04229244  4.11098916] -5.397413274286139 ;\n",
+      "Epoch 730/1000, Cost: 3.2583\n",
+      " and the parameters are [-3.04232817  4.11107633] -5.3973564137434265 ;\n",
+      "Epoch 730/1000, Cost: 2.2282\n",
+      " and the parameters are [-3.04238543  4.11101013] -5.397391593600723 ;\n",
+      "Epoch 730/1000, Cost: 3.7712\n",
+      " and the parameters are [-3.04242316  4.11085634] -5.397505722964907 ;\n",
+      "Epoch 730/1000, Cost: 4.3463\n",
+      " and the parameters are [-3.04253946  4.11071429] -5.397582766977826 ;\n",
+      "Epoch 730/1000, Cost: 2.4738\n",
+      " and the parameters are [-3.042561    4.11076105] -5.397564212589253 ;\n",
+      "Epoch 730/1000, Cost: 3.4765\n",
+      " and the parameters are [-3.04257753  4.11074084] -5.397567500913525 ;\n",
+      "Epoch 730/1000, Cost: 2.8425\n",
+      " and the parameters are [-3.04258373  4.11081412] -5.397533723054598 ;\n",
+      "Epoch 730/1000, Cost: 2.5556\n",
+      " and the parameters are [-3.04270318  4.1108006 ] -5.397510034880307 ;\n",
+      "Epoch 730/1000, Cost: 8.0381\n",
+      " and the parameters are [-3.04274953  4.11079575] -5.39747027656875 ;\n",
+      "Epoch 730/1000, Cost: 1.8672\n",
+      " and the parameters are [-3.04273858  4.1107851 ] -5.39750737164966 ;\n",
+      "Epoch 730/1000, Cost: 2.7560\n",
+      " and the parameters are [-3.0427119   4.11078088] -5.397551827692803 ;\n",
+      "Epoch 730/1000, Cost: 1.3853\n",
+      " and the parameters are [-3.042705    4.11080677] -5.397567007844532 ;\n",
+      "Epoch 730/1000, Cost: 1.4086\n",
+      " and the parameters are [-3.04267673  4.11085249] -5.397572449354283 ;\n",
+      "Epoch 730/1000, Cost: 1.9931\n",
+      " and the parameters are [-3.04265085  4.11089242] -5.397584678239473 ;\n",
+      "Epoch 730/1000, Cost: 6.8139\n",
+      " and the parameters are [-3.04273478  4.11101534] -5.397433799606771 ;\n",
+      "Epoch 730/1000, Cost: 3.3812\n",
+      " and the parameters are [-3.04282449  4.11089258] -5.397491735113868 ;\n",
+      "Epoch 730/1000, Cost: 2.1697\n",
+      " and the parameters are [-3.04287211  4.11080154] -5.397546161074174 ;\n",
+      "Epoch 730/1000, Cost: 1.9796\n",
+      " and the parameters are [-3.04291821  4.11076968] -5.397565385243977 ;\n",
+      "Epoch 730/1000, Cost: 3.1825\n",
+      " and the parameters are [-3.0430488   4.11070234] -5.397546230873611 ;\n",
+      "Epoch 740/1000, Cost: 2.7112\n",
+      " and the parameters are [-3.05285205  4.12303179] -5.415083323143147 ;\n",
+      "Epoch 740/1000, Cost: 1.5289\n",
+      " and the parameters are [-3.0528622   4.12310743] -5.415049242864446 ;\n",
+      "Epoch 740/1000, Cost: 2.3154\n",
+      " and the parameters are [-3.05292466  4.12299527] -5.415118266709231 ;\n",
+      "Epoch 740/1000, Cost: 3.3143\n",
+      " and the parameters are [-3.05292172  4.12292568] -5.415209072741021 ;\n",
+      "Epoch 740/1000, Cost: 1.4530\n",
+      " and the parameters are [-3.05296961  4.12288555] -5.415241639159967 ;\n",
+      "Epoch 740/1000, Cost: 5.3797\n",
+      " and the parameters are [-3.05300532  4.12276233] -5.415306248631169 ;\n",
+      "Epoch 740/1000, Cost: 8.0579\n",
+      " and the parameters are [-3.05296121  4.12279811] -5.4152791491966825 ;\n",
+      "Epoch 740/1000, Cost: 2.8218\n",
+      " and the parameters are [-3.05295795  4.12288479] -5.415225923883796 ;\n",
+      "Epoch 740/1000, Cost: 2.9186\n",
+      " and the parameters are [-3.05303737  4.12281965] -5.415259189802968 ;\n",
+      "Epoch 740/1000, Cost: 8.0266\n",
+      " and the parameters are [-3.0530751   4.12264238] -5.415350193016114 ;\n",
+      "Epoch 740/1000, Cost: 4.4934\n",
+      " and the parameters are [-3.05307021  4.12264053] -5.4153435153616005 ;\n",
+      "Epoch 740/1000, Cost: 1.8484\n",
+      " and the parameters are [-3.05306339  4.12271333] -5.415324603462156 ;\n",
+      "Epoch 740/1000, Cost: 2.9366\n",
+      " and the parameters are [-3.05299114  4.1226886 ] -5.415388744011256 ;\n",
+      "Epoch 740/1000, Cost: 6.7064\n",
+      " and the parameters are [-3.05294992  4.1228529 ] -5.4152807702146015 ;\n",
+      "Epoch 740/1000, Cost: 1.9193\n",
+      " and the parameters are [-3.05298424  4.12287854] -5.41526937036914 ;\n",
+      "Epoch 740/1000, Cost: 4.2809\n",
+      " and the parameters are [-3.05307   4.122772] -5.415311217015755 ;\n",
+      "Epoch 740/1000, Cost: 3.6931\n",
+      " and the parameters are [-3.05307797  4.12281714] -5.415285177389604 ;\n",
+      "Epoch 740/1000, Cost: 2.1223\n",
+      " and the parameters are [-3.05309719  4.12284208] -5.415286563412176 ;\n",
+      "Epoch 740/1000, Cost: 1.4871\n",
+      " and the parameters are [-3.05310931  4.12291321] -5.415250778793778 ;\n",
+      "Epoch 740/1000, Cost: 6.9446\n",
+      " and the parameters are [-3.05304143  4.12289525] -5.41528980427139 ;\n",
+      "Epoch 740/1000, Cost: 4.6173\n",
+      " and the parameters are [-3.05296535  4.12279852] -5.415432568710897 ;\n",
+      "Epoch 740/1000, Cost: 1.7405\n",
+      " and the parameters are [-3.05293254  4.12287495] -5.415408932074848 ;\n",
+      "Epoch 740/1000, Cost: 5.0960\n",
+      " and the parameters are [-3.05291444  4.12291299] -5.415403476535774 ;\n",
+      "Epoch 740/1000, Cost: 1.5109\n",
+      " and the parameters are [-3.05292195  4.12297686] -5.4153755485228565 ;\n",
+      "Epoch 740/1000, Cost: 3.6547\n",
+      " and the parameters are [-3.05292917  4.12296182] -5.415401921129303 ;\n",
+      "Epoch 740/1000, Cost: 2.5402\n",
+      " and the parameters are [-3.05288204  4.12307741] -5.415377459868332 ;\n",
+      "Epoch 740/1000, Cost: 1.9582\n",
+      " and the parameters are [-3.05284276  4.12320559] -5.4153258698015625 ;\n",
+      "Epoch 740/1000, Cost: 3.4282\n",
+      " and the parameters are [-3.05285577  4.12309482] -5.415424713388924 ;\n",
+      "Epoch 740/1000, Cost: 5.0548\n",
+      " and the parameters are [-3.05289516  4.12307843] -5.41543150417718 ;\n",
+      "Epoch 740/1000, Cost: 3.8170\n",
+      " and the parameters are [-3.05281359  4.12303521] -5.415525804047564 ;\n",
+      "Epoch 740/1000, Cost: 3.2096\n",
+      " and the parameters are [-3.05281793  4.12309479] -5.415495827957806 ;\n",
+      "Epoch 740/1000, Cost: 10.5333\n",
+      " and the parameters are [-3.05291593  4.12294977] -5.415505882793107 ;\n",
+      "Epoch 740/1000, Cost: 2.7478\n",
+      " and the parameters are [-3.05283604  4.12302966] -5.415497389159148 ;\n",
+      "Epoch 740/1000, Cost: 4.6103\n",
+      " and the parameters are [-3.05290903  4.12297074] -5.415515564230163 ;\n",
+      "Epoch 740/1000, Cost: 1.6569\n",
+      " and the parameters are [-3.05289627  4.12299099] -5.415532974320977 ;\n",
+      "Epoch 740/1000, Cost: 5.1546\n",
+      " and the parameters are [-3.05287298  4.12310478] -5.415460980188483 ;\n",
+      "Epoch 740/1000, Cost: 1.4001\n",
+      " and the parameters are [-3.05286115  4.12315389] -5.415460153838848 ;\n",
+      "Epoch 740/1000, Cost: 2.4154\n",
+      " and the parameters are [-3.05288427  4.12314358] -5.415475186928549 ;\n",
+      "Epoch 740/1000, Cost: 1.9633\n",
+      " and the parameters are [-3.05288273  4.12319654] -5.415463405260674 ;\n",
+      "Epoch 740/1000, Cost: 1.7532\n",
+      " and the parameters are [-3.0528874   4.12319529] -5.415490065446891 ;\n",
+      "Epoch 740/1000, Cost: 6.5839\n",
+      " and the parameters are [-3.05283849  4.12322323] -5.415470061233517 ;\n",
+      "Epoch 740/1000, Cost: 2.8359\n",
+      " and the parameters are [-3.05292563  4.12314887] -5.415500480727802 ;\n",
+      "Epoch 740/1000, Cost: 1.8283\n",
+      " and the parameters are [-3.05292175  4.12321106] -5.415477931071268 ;\n",
+      "Epoch 740/1000, Cost: 5.3239\n",
+      " and the parameters are [-3.05293105  4.12309802] -5.415546480930222 ;\n",
+      "Epoch 740/1000, Cost: 4.2642\n",
+      " and the parameters are [-3.05293204  4.12303392] -5.415609121103531 ;\n",
+      "Epoch 740/1000, Cost: 1.7537\n",
+      " and the parameters are [-3.05292326  4.1230141 ] -5.41565645662547 ;\n",
+      "Epoch 740/1000, Cost: 2.0135\n",
+      " and the parameters are [-3.05289256  4.12306718] -5.415664113709941 ;\n",
+      "Epoch 740/1000, Cost: 2.5306\n",
+      " and the parameters are [-3.05291251  4.12299265] -5.41573797597093 ;\n",
+      "Epoch 740/1000, Cost: 1.0647\n",
+      " and the parameters are [-3.05290714  4.12300133] -5.415756767362418 ;\n",
+      "Epoch 740/1000, Cost: 1.2976\n",
+      " and the parameters are [-3.05287092  4.12310824] -5.4157201058264866 ;\n",
+      "Epoch 740/1000, Cost: 3.7496\n",
+      " and the parameters are [-3.05291988  4.12315266] -5.415676231137802 ;\n",
+      "Epoch 740/1000, Cost: 1.1495\n",
+      " and the parameters are [-3.05289651  4.1231939 ] -5.415682325786302 ;\n",
+      "Epoch 740/1000, Cost: 4.6048\n",
+      " and the parameters are [-3.05287048  4.12307623] -5.415811895951115 ;\n",
+      "Epoch 740/1000, Cost: 2.2501\n",
+      " and the parameters are [-3.05286586  4.12316711] -5.415770048696941 ;\n",
+      "Epoch 740/1000, Cost: 6.5861\n",
+      " and the parameters are [-3.05282037  4.12315548] -5.415806019201741 ;\n",
+      "Epoch 740/1000, Cost: 1.6812\n",
+      " and the parameters are [-3.05289115  4.12308464] -5.41584532751619 ;\n",
+      "Epoch 740/1000, Cost: 2.8234\n",
+      " and the parameters are [-3.0529235   4.12312295] -5.41583375837606 ;\n",
+      "Epoch 740/1000, Cost: 0.6179\n",
+      " and the parameters are [-3.05290454  4.12317783] -5.415821015594626 ;\n",
+      "Epoch 740/1000, Cost: 7.0863\n",
+      " and the parameters are [-3.05282126  4.12330831] -5.415748790207442 ;\n",
+      "Epoch 740/1000, Cost: 0.8896\n",
+      " and the parameters are [-3.05283311  4.12330859] -5.415760197660901 ;\n",
+      "Epoch 740/1000, Cost: 4.1513\n",
+      " and the parameters are [-3.05276588  4.12325253] -5.4158517144616924 ;\n",
+      "Epoch 740/1000, Cost: 3.4391\n",
+      " and the parameters are [-3.05271342  4.12335819] -5.415816715870135 ;\n",
+      "Epoch 740/1000, Cost: 2.9934\n",
+      " and the parameters are [-3.05269196  4.12337021] -5.41582364691633 ;\n",
+      "Epoch 740/1000, Cost: 4.9967\n",
+      " and the parameters are [-3.05272027  4.12333921] -5.415836464919588 ;\n",
+      "Epoch 740/1000, Cost: 3.1235\n",
+      " and the parameters are [-3.0528251   4.12321355] -5.415883488011212 ;\n",
+      "Epoch 740/1000, Cost: 2.0943\n",
+      " and the parameters are [-3.05286232  4.12322163] -5.415889834044051 ;\n",
+      "Epoch 740/1000, Cost: 1.3631\n",
+      " and the parameters are [-3.05284347  4.12325738] -5.415899026305745 ;\n",
+      "Epoch 740/1000, Cost: 2.7630\n",
+      " and the parameters are [-3.05290403  4.12326762] -5.415875214608106 ;\n",
+      "Epoch 740/1000, Cost: 1.0475\n",
+      " and the parameters are [-3.05293     4.12330329] -5.415856755465384 ;\n",
+      "Epoch 740/1000, Cost: 3.0885\n",
+      " and the parameters are [-3.05298025  4.12330853] -5.415825621530409 ;\n",
+      "Epoch 740/1000, Cost: 3.7723\n",
+      " and the parameters are [-3.05299968  4.1231793 ] -5.415919581915179 ;\n",
+      "Epoch 740/1000, Cost: 2.1433\n",
+      " and the parameters are [-3.05298517  4.12320051] -5.415935312323936 ;\n",
+      "Epoch 740/1000, Cost: 1.7629\n",
+      " and the parameters are [-3.05299718  4.12317223] -5.415974185474119 ;\n",
+      "Epoch 740/1000, Cost: 1.4215\n",
+      " and the parameters are [-3.05302173  4.12315606] -5.415996433302617 ;\n",
+      "Epoch 740/1000, Cost: 4.9469\n",
+      " and the parameters are [-3.05308022  4.12311268] -5.416014554690373 ;\n",
+      "Epoch 740/1000, Cost: 2.8257\n",
+      " and the parameters are [-3.0531359   4.12302041] -5.416071775478999 ;\n",
+      "Epoch 740/1000, Cost: 2.9430\n",
+      " and the parameters are [-3.05324076  4.12302756] -5.416037525024623 ;\n",
+      "Epoch 740/1000, Cost: 1.4897\n",
+      " and the parameters are [-3.05327958  4.12304479] -5.416020609296781 ;\n",
+      "Epoch 740/1000, Cost: 2.4644\n",
+      " and the parameters are [-3.0532896  4.1230861] -5.416005665470777 ;\n",
+      "Epoch 740/1000, Cost: 1.6128\n",
+      " and the parameters are [-3.05328666  4.12314937] -5.415984259621624 ;\n",
+      "Epoch 740/1000, Cost: 2.1691\n",
+      " and the parameters are [-3.05325859  4.12319579] -5.4159830608741295 ;\n",
+      "Epoch 740/1000, Cost: 4.3087\n",
+      " and the parameters are [-3.05333213  4.12300182] -5.4160939142282185 ;\n",
+      "Epoch 740/1000, Cost: 2.0211\n",
+      " and the parameters are [-3.05337355  4.12301576] -5.416073557690143 ;\n",
+      "Epoch 740/1000, Cost: 4.7633\n",
+      " and the parameters are [-3.05339304  4.12286522] -5.416214283274941 ;\n",
+      "Epoch 740/1000, Cost: 4.5565\n",
+      " and the parameters are [-3.05336541  4.12305977] -5.416112466656992 ;\n",
+      "Epoch 740/1000, Cost: 3.2109\n",
+      " and the parameters are [-3.05338475  4.12299461] -5.4161780600464455 ;\n",
+      "Epoch 740/1000, Cost: 1.3604\n",
+      " and the parameters are [-3.05337875  4.12302746] -5.416178932242427 ;\n",
+      "Epoch 740/1000, Cost: 1.9700\n",
+      " and the parameters are [-3.0534187   4.12301702] -5.416184999040002 ;\n",
+      "Epoch 740/1000, Cost: 1.2320\n",
+      " and the parameters are [-3.05343123  4.12305729] -5.416170919729332 ;\n",
+      "Epoch 740/1000, Cost: 3.8850\n",
+      " and the parameters are [-3.05339554  4.1230398 ] -5.416209713174697 ;\n",
+      "Epoch 740/1000, Cost: 2.4530\n",
+      " and the parameters are [-3.05337232  4.12305785] -5.4162406082114956 ;\n",
+      "Epoch 740/1000, Cost: 1.7021\n",
+      " and the parameters are [-3.05333788  4.12304281] -5.416299225477992 ;\n",
+      "Epoch 740/1000, Cost: 4.3074\n",
+      " and the parameters are [-3.05329225  4.12309535] -5.416310300429076 ;\n",
+      "Epoch 740/1000, Cost: 1.4357\n",
+      " and the parameters are [-3.0532996   4.12310918] -5.416322629973445 ;\n",
+      "Epoch 740/1000, Cost: 4.9431\n",
+      " and the parameters are [-3.05336378  4.1229844 ] -5.4164067987265465 ;\n",
+      "Epoch 740/1000, Cost: 2.9921\n",
+      " and the parameters are [-3.05328999  4.12314786] -5.41634518989904 ;\n",
+      "Epoch 740/1000, Cost: 2.4912\n",
+      " and the parameters are [-3.05335844  4.12315338] -5.41633387174111 ;\n",
+      "Epoch 740/1000, Cost: 3.2995\n",
+      " and the parameters are [-3.05333568  4.12310587] -5.416399764192164 ;\n",
+      "Epoch 740/1000, Cost: 4.0424\n",
+      " and the parameters are [-3.05343035  4.12296975] -5.416454114590484 ;\n",
+      "Epoch 740/1000, Cost: 4.7012\n",
+      " and the parameters are [-3.05338611  4.12313343] -5.416376024818513 ;\n",
+      "Epoch 740/1000, Cost: 1.2050\n",
+      " and the parameters are [-3.05338373  4.12314915] -5.41639570486561 ;\n",
+      "Epoch 740/1000, Cost: 1.1494\n",
+      " and the parameters are [-3.0533838   4.12316388] -5.416400762070254 ;\n",
+      "Epoch 740/1000, Cost: 1.0462\n",
+      " and the parameters are [-3.05341405  4.12313548] -5.416422123057984 ;\n",
+      "Epoch 740/1000, Cost: 5.0095\n",
+      " and the parameters are [-3.05345983  4.12301506] -5.416507572917745 ;\n",
+      "Epoch 740/1000, Cost: 1.8854\n",
+      " and the parameters are [-3.0534239  4.1230472] -5.416536023294644 ;\n",
+      "Epoch 740/1000, Cost: 4.7502\n",
+      " and the parameters are [-3.05348404  4.12291401] -5.416625172229954 ;\n",
+      "Epoch 740/1000, Cost: 0.7094\n",
+      " and the parameters are [-3.05349633  4.12290534] -5.416640699659453 ;\n",
+      "Epoch 740/1000, Cost: 4.7924\n",
+      " and the parameters are [-3.05351136  4.12289361] -5.416648377940634 ;\n",
+      "Epoch 740/1000, Cost: 3.0227\n",
+      " and the parameters are [-3.0535219   4.12292235] -5.416646091048008 ;\n",
+      "Epoch 740/1000, Cost: 1.5811\n",
+      " and the parameters are [-3.05355717  4.12287371] -5.4166897068314634 ;\n",
+      "Epoch 740/1000, Cost: 0.9458\n",
+      " and the parameters are [-3.05355284  4.1229142 ] -5.416685267953292 ;\n",
+      "Epoch 740/1000, Cost: 2.4832\n",
+      " and the parameters are [-3.05357525  4.12293999] -5.416689148981038 ;\n",
+      "Epoch 740/1000, Cost: 4.5484\n",
+      " and the parameters are [-3.05356954  4.12307556] -5.416611245384712 ;\n",
+      "Epoch 740/1000, Cost: 4.4992\n",
+      " and the parameters are [-3.05360602  4.12303536] -5.416629959474114 ;\n",
+      "Epoch 740/1000, Cost: 2.1561\n",
+      " and the parameters are [-3.05358967  4.12307839] -5.4166400522661435 ;\n",
+      "Epoch 740/1000, Cost: 6.7542\n",
+      " and the parameters are [-3.05357601  4.12315439] -5.416575591581245 ;\n",
+      "Epoch 740/1000, Cost: 3.6456\n",
+      " and the parameters are [-3.05355688  4.12329462] -5.416501023252702 ;\n",
+      "Epoch 740/1000, Cost: 3.8507\n",
+      " and the parameters are [-3.05353376  4.12343578] -5.41641947044395 ;\n",
+      "Epoch 740/1000, Cost: 0.3605\n",
+      " and the parameters are [-3.05352967  4.12346261] -5.416413619084484 ;\n",
+      "Epoch 740/1000, Cost: 2.0613\n",
+      " and the parameters are [-3.05349135  4.12348746] -5.416446235892803 ;\n",
+      "Epoch 740/1000, Cost: 4.8024\n",
+      " and the parameters are [-3.05364483  4.12336912] -5.4164535079375 ;\n",
+      "Epoch 740/1000, Cost: 5.2240\n",
+      " and the parameters are [-3.0536638   4.12332695] -5.416489829400858 ;\n",
+      "Epoch 740/1000, Cost: 3.1839\n",
+      " and the parameters are [-3.05364087  4.1233789 ] -5.416487359289223 ;\n",
+      "Epoch 740/1000, Cost: 7.2291\n",
+      " and the parameters are [-3.05371718  4.12345636] -5.416376570758337 ;\n",
+      "Epoch 740/1000, Cost: 4.9862\n",
+      " and the parameters are [-3.0536504   4.12341524] -5.416443761823367 ;\n",
+      "Epoch 740/1000, Cost: 3.3928\n",
+      " and the parameters are [-3.05371412  4.12345167] -5.416410551509176 ;\n",
+      "Epoch 740/1000, Cost: 1.3648\n",
+      " and the parameters are [-3.05372329  4.12346387] -5.416419290427336 ;\n",
+      "Epoch 740/1000, Cost: 2.7951\n",
+      " and the parameters are [-3.05374954  4.12339298] -5.416487689274461 ;\n",
+      "Epoch 740/1000, Cost: 2.1551\n",
+      " and the parameters are [-3.05375019  4.12345925] -5.41646593772566 ;\n",
+      "Epoch 740/1000, Cost: 2.8821\n",
+      " and the parameters are [-3.05379007  4.12352664] -5.416417837614285 ;\n",
+      "Epoch 740/1000, Cost: 1.3844\n",
+      " and the parameters are [-3.05379279  4.12356617] -5.416410462251815 ;\n",
+      "Epoch 740/1000, Cost: 0.7170\n",
+      " and the parameters are [-3.05377225  4.1235859 ] -5.416425845885906 ;\n",
+      "Epoch 740/1000, Cost: 5.9776\n",
+      " and the parameters are [-3.0537109   4.12366593] -5.416384606085182 ;\n",
+      "Epoch 740/1000, Cost: 2.5471\n",
+      " and the parameters are [-3.05376241  4.12367375] -5.416362180945772 ;\n",
+      "Epoch 740/1000, Cost: 3.7819\n",
+      " and the parameters are [-3.05385836  4.12353838] -5.416436260582 ;\n",
+      "Epoch 740/1000, Cost: 1.8752\n",
+      " and the parameters are [-3.05385091  4.12354898] -5.41645362911092 ;\n",
+      "Epoch 740/1000, Cost: 1.7613\n",
+      " and the parameters are [-3.05383737  4.1235866 ] -5.416455764247954 ;\n",
+      "Epoch 740/1000, Cost: 1.1583\n",
+      " and the parameters are [-3.05383814  4.12358725] -5.416482529423579 ;\n",
+      "Epoch 740/1000, Cost: 2.2323\n",
+      " and the parameters are [-3.05383705  4.12362216] -5.416477340747578 ;\n",
+      "Epoch 740/1000, Cost: 4.1482\n",
+      " and the parameters are [-3.05387823  4.12362113] -5.4164815495992915 ;\n",
+      "Epoch 740/1000, Cost: 2.7401\n",
+      " and the parameters are [-3.05379425  4.12371346] -5.416481987255011 ;\n",
+      "Epoch 740/1000, Cost: 5.4000\n",
+      " and the parameters are [-3.0537842   4.12376428] -5.416433503257235 ;\n",
+      "Epoch 740/1000, Cost: 1.8189\n",
+      " and the parameters are [-3.053805    4.12370949] -5.416481161799353 ;\n",
+      "Epoch 740/1000, Cost: 3.9995\n",
+      " and the parameters are [-3.05377139  4.12371345] -5.416520978706818 ;\n",
+      "Epoch 740/1000, Cost: 5.3263\n",
+      " and the parameters are [-3.05377047  4.12366774] -5.416566246043746 ;\n",
+      "Epoch 740/1000, Cost: 0.9971\n",
+      " and the parameters are [-3.05379232  4.1236978 ] -5.416548723249254 ;\n",
+      "Epoch 740/1000, Cost: 2.6386\n",
+      " and the parameters are [-3.05385549  4.12368534] -5.416546643493328 ;\n",
+      "Epoch 740/1000, Cost: 2.3565\n",
+      " and the parameters are [-3.05385869  4.12371031] -5.416560166847372 ;\n",
+      "Epoch 740/1000, Cost: 1.9458\n",
+      " and the parameters are [-3.05383869  4.12376833] -5.41653886484582 ;\n",
+      "Epoch 740/1000, Cost: 1.2165\n",
+      " and the parameters are [-3.05383743  4.12381739] -5.416526573189336 ;\n",
+      "Epoch 740/1000, Cost: 1.9290\n",
+      " and the parameters are [-3.05383057  4.12379256] -5.416573415957636 ;\n",
+      "Epoch 740/1000, Cost: 4.3340\n",
+      " and the parameters are [-3.05381628  4.12375543] -5.416606546988094 ;\n",
+      "Epoch 740/1000, Cost: 0.8363\n",
+      " and the parameters are [-3.0538165   4.12378638] -5.416604613552213 ;\n",
+      "Epoch 740/1000, Cost: 4.2379\n",
+      " and the parameters are [-3.05378218  4.12380792] -5.416606915113588 ;\n",
+      "Epoch 740/1000, Cost: 2.0678\n",
+      " and the parameters are [-3.05378893  4.12379673] -5.416637272327206 ;\n",
+      "Epoch 740/1000, Cost: 3.1005\n",
+      " and the parameters are [-3.05376258  4.1238242 ] -5.416645425154581 ;\n",
+      "Epoch 740/1000, Cost: 1.3202\n",
+      " and the parameters are [-3.05376366  4.12386115] -5.416642569371022 ;\n",
+      "Epoch 740/1000, Cost: 3.8014\n",
+      " and the parameters are [-3.05377347  4.12402981] -5.416520129283735 ;\n",
+      "Epoch 740/1000, Cost: 3.2877\n",
+      " and the parameters are [-3.05374666  4.12408464] -5.416521451357822 ;\n",
+      "Epoch 740/1000, Cost: 4.9900\n",
+      " and the parameters are [-3.05367278  4.12400381] -5.416641625997408 ;\n",
+      "Epoch 740/1000, Cost: 2.9371\n",
+      " and the parameters are [-3.05376241  4.12399609] -5.416637969507556 ;\n",
+      "Epoch 740/1000, Cost: 5.7273\n",
+      " and the parameters are [-3.05366327  4.12420175] -5.416555334316471 ;\n",
+      "Epoch 740/1000, Cost: 3.6031\n",
+      " and the parameters are [-3.05366909  4.12417316] -5.416599524519893 ;\n",
+      "Epoch 740/1000, Cost: 4.5277\n",
+      " and the parameters are [-3.05369422  4.12410567] -5.416650660184738 ;\n",
+      "Epoch 740/1000, Cost: 3.2470\n",
+      " and the parameters are [-3.0537391   4.12411979] -5.416639657596905 ;\n",
+      "Epoch 740/1000, Cost: 3.1429\n",
+      " and the parameters are [-3.05372471  4.12413893] -5.4166426119702376 ;\n",
+      "Epoch 740/1000, Cost: 1.5440\n",
+      " and the parameters are [-3.05374031  4.12416406] -5.4166428048713735 ;\n",
+      "Epoch 740/1000, Cost: 3.7155\n",
+      " and the parameters are [-3.05366374  4.12425212] -5.416636427180204 ;\n",
+      "Epoch 740/1000, Cost: 1.7121\n",
+      " and the parameters are [-3.0536689   4.12429113] -5.416626030175198 ;\n",
+      "Epoch 740/1000, Cost: 1.0224\n",
+      " and the parameters are [-3.05365982  4.12434359] -5.416614384923487 ;\n",
+      "Epoch 740/1000, Cost: 1.1814\n",
+      " and the parameters are [-3.05364153  4.12439381] -5.416605431556652 ;\n",
+      "Epoch 740/1000, Cost: 1.7741\n",
+      " and the parameters are [-3.05370778  4.12440153] -5.416584700035124 ;\n",
+      "Epoch 740/1000, Cost: 3.7972\n",
+      " and the parameters are [-3.05367618  4.1244983 ] -5.416554002469024 ;\n",
+      "Epoch 740/1000, Cost: 1.2668\n",
+      " and the parameters are [-3.05368127  4.12454028] -5.416542532306272 ;\n",
+      "Epoch 740/1000, Cost: 3.3233\n",
+      " and the parameters are [-3.05365074  4.12453193] -5.416583984341223 ;\n",
+      "Epoch 740/1000, Cost: 3.2312\n",
+      " and the parameters are [-3.05375485  4.12449288] -5.416591034157662 ;\n",
+      "Epoch 740/1000, Cost: 3.7000\n",
+      " and the parameters are [-3.0537696   4.12441383] -5.4166609525551666 ;\n",
+      "Epoch 740/1000, Cost: 3.2376\n",
+      " and the parameters are [-3.05379722  4.12437283] -5.4167060892380015 ;\n",
+      "Epoch 740/1000, Cost: 5.5429\n",
+      " and the parameters are [-3.05385727  4.12426232] -5.416766850350566 ;\n",
+      "Epoch 740/1000, Cost: 1.6836\n",
+      " and the parameters are [-3.0538703   4.12426609] -5.416777310232054 ;\n",
+      "Epoch 740/1000, Cost: 2.8562\n",
+      " and the parameters are [-3.05386415  4.12420744] -5.4168603063778304 ;\n",
+      "Epoch 740/1000, Cost: 1.4104\n",
+      " and the parameters are [-3.05390247  4.12416787] -5.4168879408826 ;\n",
+      "Epoch 740/1000, Cost: 5.3155\n",
+      " and the parameters are [-3.05387565  4.12417012] -5.416900214631616 ;\n",
+      "Epoch 740/1000, Cost: 2.7512\n",
+      " and the parameters are [-3.05393028  4.12422665] -5.416849813830857 ;\n",
+      "Epoch 740/1000, Cost: 4.3795\n",
+      " and the parameters are [-3.05389851  4.12427194] -5.416823426573242 ;\n",
+      "Epoch 740/1000, Cost: 5.0178\n",
+      " and the parameters are [-3.05390741  4.12414159] -5.4169142359970355 ;\n",
+      "Epoch 740/1000, Cost: 4.4395\n",
+      " and the parameters are [-3.05389794  4.12405653] -5.416996091530683 ;\n",
+      "Epoch 740/1000, Cost: 5.2424\n",
+      " and the parameters are [-3.05399763  4.12405258] -5.416944778949154 ;\n",
+      "Epoch 740/1000, Cost: 3.2782\n",
+      " and the parameters are [-3.05396119  4.12409645] -5.416953544522858 ;\n",
+      "Epoch 740/1000, Cost: 3.0698\n",
+      " and the parameters are [-3.05393571  4.12406841] -5.417012025889959 ;\n",
+      "Epoch 740/1000, Cost: 1.8724\n",
+      " and the parameters are [-3.05394027  4.1240283 ] -5.417050455142266 ;\n",
+      "Epoch 740/1000, Cost: 4.0464\n",
+      " and the parameters are [-3.0539366   4.12412829] -5.416992669472949 ;\n",
+      "Epoch 740/1000, Cost: 3.8424\n",
+      " and the parameters are [-3.05389028  4.12429943] -5.41691517326815 ;\n",
+      "Epoch 740/1000, Cost: 1.7912\n",
+      " and the parameters are [-3.0538618   4.12440518] -5.416873661756825 ;\n",
+      "Epoch 740/1000, Cost: 1.7084\n",
+      " and the parameters are [-3.0538253   4.12440845] -5.416916330634271 ;\n",
+      "Epoch 740/1000, Cost: 1.8638\n",
+      " and the parameters are [-3.05384227  4.12440869] -5.416933040653549 ;\n",
+      "Epoch 740/1000, Cost: 2.9062\n",
+      " and the parameters are [-3.0539544   4.12432946] -5.416956729905296 ;\n",
+      "Epoch 740/1000, Cost: 1.5725\n",
+      " and the parameters are [-3.05398657  4.12430713] -5.416978415661104 ;\n",
+      "Epoch 740/1000, Cost: 1.0207\n",
+      " and the parameters are [-3.05394678  4.12437205] -5.416977196144819 ;\n",
+      "Epoch 740/1000, Cost: 1.2864\n",
+      " and the parameters are [-3.05395377  4.12439509] -5.416983264937177 ;\n",
+      "Epoch 750/1000, Cost: 2.4359\n",
+      " and the parameters are [-3.06366115  4.13655799] -5.434277710453079 ;\n",
+      "Epoch 750/1000, Cost: 3.8669\n",
+      " and the parameters are [-3.06365905  4.13650712] -5.4343353565970824 ;\n",
+      "Epoch 750/1000, Cost: 2.7093\n",
+      " and the parameters are [-3.06359907  4.13649847] -5.43438646357341 ;\n",
+      "Epoch 750/1000, Cost: 2.2343\n",
+      " and the parameters are [-3.06365594  4.13649219] -5.434381192475415 ;\n",
+      "Epoch 750/1000, Cost: 2.2155\n",
+      " and the parameters are [-3.06369826  4.13652728] -5.43435402979027 ;\n",
+      "Epoch 750/1000, Cost: 5.2272\n",
+      " and the parameters are [-3.06375911  4.1365561 ] -5.434322679499415 ;\n",
+      "Epoch 750/1000, Cost: 2.9103\n",
+      " and the parameters are [-3.0637789   4.13668656] -5.434236200229712 ;\n",
+      "Epoch 750/1000, Cost: 8.7731\n",
+      " and the parameters are [-3.06377719  4.1366719 ] -5.434227575118537 ;\n",
+      "Epoch 750/1000, Cost: 2.4070\n",
+      " and the parameters are [-3.06375003  4.13664655] -5.4342898289107655 ;\n",
+      "Epoch 750/1000, Cost: 3.1604\n",
+      " and the parameters are [-3.06369574  4.13685168] -5.434199445701666 ;\n",
+      "Epoch 750/1000, Cost: 1.0379\n",
+      " and the parameters are [-3.06369127  4.13690811] -5.434180546862796 ;\n",
+      "Epoch 750/1000, Cost: 1.9612\n",
+      " and the parameters are [-3.06365266  4.13690564] -5.434222948712886 ;\n",
+      "Epoch 750/1000, Cost: 3.7509\n",
+      " and the parameters are [-3.06365032  4.1369595 ] -5.434199055026196 ;\n",
+      "Epoch 750/1000, Cost: 6.2123\n",
+      " and the parameters are [-3.06377651  4.13692664] -5.434168834291495 ;\n",
+      "Epoch 750/1000, Cost: 1.1931\n",
+      " and the parameters are [-3.06373951  4.1369365 ] -5.434194958071178 ;\n",
+      "Epoch 750/1000, Cost: 2.0180\n",
+      " and the parameters are [-3.06370926  4.13701076] -5.434178400703836 ;\n",
+      "Epoch 750/1000, Cost: 2.7089\n",
+      " and the parameters are [-3.06366657  4.13705019] -5.434184311334776 ;\n",
+      "Epoch 750/1000, Cost: 1.9858\n",
+      " and the parameters are [-3.06368111  4.13707925] -5.434172551133439 ;\n",
+      "Epoch 750/1000, Cost: 2.4159\n",
+      " and the parameters are [-3.06367914  4.13711754] -5.434172187363326 ;\n",
+      "Epoch 750/1000, Cost: 0.8355\n",
+      " and the parameters are [-3.06365493  4.13715745] -5.434173638247215 ;\n",
+      "Epoch 750/1000, Cost: 1.4483\n",
+      " and the parameters are [-3.06362226  4.13721691] -5.434172128578679 ;\n",
+      "Epoch 750/1000, Cost: 2.8941\n",
+      " and the parameters are [-3.0636362   4.13710295] -5.43426682970837 ;\n",
+      "Epoch 750/1000, Cost: 1.8839\n",
+      " and the parameters are [-3.06368346  4.13705593] -5.434294526100955 ;\n",
+      "Epoch 750/1000, Cost: 1.1596\n",
+      " and the parameters are [-3.06367977  4.13705275] -5.434325384807605 ;\n",
+      "Epoch 750/1000, Cost: 6.2026\n",
+      " and the parameters are [-3.06368339  4.13695934] -5.434387604510266 ;\n",
+      "Epoch 750/1000, Cost: 1.5999\n",
+      " and the parameters are [-3.06367899  4.13696048] -5.434414423649919 ;\n",
+      "Epoch 750/1000, Cost: 2.9537\n",
+      " and the parameters are [-3.06372507  4.13690886] -5.434456875272292 ;\n",
+      "Epoch 750/1000, Cost: 9.4996\n",
+      " and the parameters are [-3.06358872  4.13685269] -5.434534278954748 ;\n",
+      "Epoch 750/1000, Cost: 4.0062\n",
+      " and the parameters are [-3.06363298  4.13682681] -5.434559171536911 ;\n",
+      "Epoch 750/1000, Cost: 4.9787\n",
+      " and the parameters are [-3.06367592  4.13675482] -5.434593425998738 ;\n",
+      "Epoch 750/1000, Cost: 4.0587\n",
+      " and the parameters are [-3.06365617  4.13685831] -5.434536392745831 ;\n",
+      "Epoch 750/1000, Cost: 2.9968\n",
+      " and the parameters are [-3.06370147  4.13688278] -5.434512037840098 ;\n",
+      "Epoch 750/1000, Cost: 4.4789\n",
+      " and the parameters are [-3.06369188  4.13689108] -5.434548332559252 ;\n",
+      "Epoch 750/1000, Cost: 6.2461\n",
+      " and the parameters are [-3.06368138  4.13687055] -5.434559971400952 ;\n",
+      "Epoch 750/1000, Cost: 2.2590\n",
+      " and the parameters are [-3.06366156  4.13700243] -5.4344875115018825 ;\n",
+      "Epoch 750/1000, Cost: 2.8880\n",
+      " and the parameters are [-3.06366879  4.13692921] -5.434544334813842 ;\n",
+      "Epoch 750/1000, Cost: 2.2860\n",
+      " and the parameters are [-3.06368911  4.13693   ] -5.43456267823555 ;\n",
+      "Epoch 750/1000, Cost: 4.0722\n",
+      " and the parameters are [-3.06365816  4.13697348] -5.434570056234754 ;\n",
+      "Epoch 750/1000, Cost: 3.5591\n",
+      " and the parameters are [-3.06369798  4.13692813] -5.434611123567876 ;\n",
+      "Epoch 750/1000, Cost: 3.0945\n",
+      " and the parameters are [-3.0637441   4.13692923] -5.434606463795596 ;\n",
+      "Epoch 750/1000, Cost: 1.4842\n",
+      " and the parameters are [-3.06372118  4.13701682] -5.434578053763767 ;\n",
+      "Epoch 750/1000, Cost: 0.8002\n",
+      " and the parameters are [-3.06370809  4.13705326] -5.434579426643306 ;\n",
+      "Epoch 750/1000, Cost: 4.1264\n",
+      " and the parameters are [-3.06365123  4.13715101] -5.434559962708135 ;\n",
+      "Epoch 750/1000, Cost: 3.5634\n",
+      " and the parameters are [-3.06361837  4.13722836] -5.434544141822202 ;\n",
+      "Epoch 750/1000, Cost: 1.9888\n",
+      " and the parameters are [-3.0636047   4.13726015] -5.434557155548211 ;\n",
+      "Epoch 750/1000, Cost: 1.6287\n",
+      " and the parameters are [-3.06361566  4.13720373] -5.434618202053497 ;\n",
+      "Epoch 750/1000, Cost: 2.0252\n",
+      " and the parameters are [-3.0636296   4.13725797] -5.434596215806573 ;\n",
+      "Epoch 750/1000, Cost: 1.9802\n",
+      " and the parameters are [-3.0636455   4.13718895] -5.4346582696483825 ;\n",
+      "Epoch 750/1000, Cost: 2.4090\n",
+      " and the parameters are [-3.06363868  4.13711316] -5.434740919494275 ;\n",
+      "Epoch 750/1000, Cost: 1.8431\n",
+      " and the parameters are [-3.06360159  4.13717139] -5.434749447485909 ;\n",
+      "Epoch 750/1000, Cost: 6.7348\n",
+      " and the parameters are [-3.06368328  4.13716827] -5.434708269530893 ;\n",
+      "Epoch 750/1000, Cost: 1.9301\n",
+      " and the parameters are [-3.06362921  4.13723019] -5.434708046092363 ;\n",
+      "Epoch 750/1000, Cost: 4.8683\n",
+      " and the parameters are [-3.06375505  4.13707028] -5.434766831452128 ;\n",
+      "Epoch 750/1000, Cost: 0.6099\n",
+      " and the parameters are [-3.06374565  4.13708688] -5.434777016410917 ;\n",
+      "Epoch 750/1000, Cost: 3.1825\n",
+      " and the parameters are [-3.06373157  4.13705148] -5.434830347394316 ;\n",
+      "Epoch 750/1000, Cost: 1.3626\n",
+      " and the parameters are [-3.06371424  4.13708801] -5.434832339246694 ;\n",
+      "Epoch 750/1000, Cost: 1.2704\n",
+      " and the parameters are [-3.06372203  4.1371188 ] -5.434831386766953 ;\n",
+      "Epoch 750/1000, Cost: 3.0732\n",
+      " and the parameters are [-3.06368857  4.1371525 ] -5.434857204538438 ;\n",
+      "Epoch 750/1000, Cost: 3.0937\n",
+      " and the parameters are [-3.06368281  4.13708825] -5.434911507660749 ;\n",
+      "Epoch 750/1000, Cost: 0.9258\n",
+      " and the parameters are [-3.06369046  4.13711557] -5.434904851964452 ;\n",
+      "Epoch 750/1000, Cost: 3.1118\n",
+      " and the parameters are [-3.06366679  4.13704104] -5.4350028202092835 ;\n",
+      "Epoch 750/1000, Cost: 1.4135\n",
+      " and the parameters are [-3.06365093  4.13707342] -5.4350141177942985 ;\n",
+      "Epoch 750/1000, Cost: 3.3470\n",
+      " and the parameters are [-3.06366393  4.1371435 ] -5.4349853288736165 ;\n",
+      "Epoch 750/1000, Cost: 2.9436\n",
+      " and the parameters are [-3.06358173  4.13719746] -5.4350063682074925 ;\n",
+      "Epoch 750/1000, Cost: 3.2658\n",
+      " and the parameters are [-3.06345701  4.13737901] -5.434955001811045 ;\n",
+      "Epoch 750/1000, Cost: 3.0339\n",
+      " and the parameters are [-3.06351693  4.13735506] -5.434957182641063 ;\n",
+      "Epoch 750/1000, Cost: 2.4139\n",
+      " and the parameters are [-3.06354668  4.13739244] -5.434947292319463 ;\n",
+      "Epoch 750/1000, Cost: 3.1210\n",
+      " and the parameters are [-3.06354211  4.13741582] -5.4349348654061265 ;\n",
+      "Epoch 750/1000, Cost: 2.4497\n",
+      " and the parameters are [-3.06354705  4.13752531] -5.434869529855751 ;\n",
+      "Epoch 750/1000, Cost: 3.6183\n",
+      " and the parameters are [-3.06359981  4.13744377] -5.434913918262851 ;\n",
+      "Epoch 750/1000, Cost: 1.4307\n",
+      " and the parameters are [-3.06359851  4.13753278] -5.434876627615525 ;\n",
+      "Epoch 750/1000, Cost: 3.6777\n",
+      " and the parameters are [-3.06362268  4.13754676] -5.434866285243071 ;\n",
+      "Epoch 750/1000, Cost: 2.9904\n",
+      " and the parameters are [-3.06357509  4.13759822] -5.434884710825363 ;\n",
+      "Epoch 750/1000, Cost: 3.2152\n",
+      " and the parameters are [-3.06355927  4.13762166] -5.4349015467996304 ;\n",
+      "Epoch 750/1000, Cost: 2.3908\n",
+      " and the parameters are [-3.06353489  4.13772442] -5.434853483490658 ;\n",
+      "Epoch 750/1000, Cost: 2.6495\n",
+      " and the parameters are [-3.06355125  4.13773903] -5.434854892311577 ;\n",
+      "Epoch 750/1000, Cost: 0.9366\n",
+      " and the parameters are [-3.06354187  4.13777813] -5.434854737420551 ;\n",
+      "Epoch 750/1000, Cost: 3.7448\n",
+      " and the parameters are [-3.06355479  4.13785531] -5.434784705468542 ;\n",
+      "Epoch 750/1000, Cost: 1.9495\n",
+      " and the parameters are [-3.06360202  4.13789448] -5.434756253629183 ;\n",
+      "Epoch 750/1000, Cost: 3.9423\n",
+      " and the parameters are [-3.06366876  4.13784829] -5.4347711575841124 ;\n",
+      "Epoch 750/1000, Cost: 2.4207\n",
+      " and the parameters are [-3.0636809   4.13782313] -5.4348095722511705 ;\n",
+      "Epoch 750/1000, Cost: 4.3109\n",
+      " and the parameters are [-3.06363588  4.13784042] -5.4348233171442 ;\n",
+      "Epoch 750/1000, Cost: 4.1125\n",
+      " and the parameters are [-3.06372527  4.13774022] -5.4348584449566735 ;\n",
+      "Epoch 750/1000, Cost: 4.3949\n",
+      " and the parameters are [-3.06370501  4.13775934] -5.434866809379023 ;\n",
+      "Epoch 750/1000, Cost: 1.7861\n",
+      " and the parameters are [-3.06368224  4.13777307] -5.434900885654822 ;\n",
+      "Epoch 750/1000, Cost: 1.4519\n",
+      " and the parameters are [-3.06364728  4.13781493] -5.434914233995502 ;\n",
+      "Epoch 750/1000, Cost: 6.5259\n",
+      " and the parameters are [-3.06360699  4.1379051 ] -5.434856077188973 ;\n",
+      "Epoch 750/1000, Cost: 3.5271\n",
+      " and the parameters are [-3.06364264  4.13780161] -5.434926011068269 ;\n",
+      "Epoch 750/1000, Cost: 1.7487\n",
+      " and the parameters are [-3.0636581  4.1378051] -5.434940225534582 ;\n",
+      "Epoch 750/1000, Cost: 4.9463\n",
+      " and the parameters are [-3.06356131  4.13776483] -5.435041311277592 ;\n",
+      "Epoch 750/1000, Cost: 3.3342\n",
+      " and the parameters are [-3.06366539  4.13777959] -5.43498364969737 ;\n",
+      "Epoch 750/1000, Cost: 2.1462\n",
+      " and the parameters are [-3.06371115  4.13782261] -5.434951345887311 ;\n",
+      "Epoch 750/1000, Cost: 4.1110\n",
+      " and the parameters are [-3.06368251  4.13774355] -5.435049247559444 ;\n",
+      "Epoch 750/1000, Cost: 4.3825\n",
+      " and the parameters are [-3.06372396  4.1378658 ] -5.434946526946592 ;\n",
+      "Epoch 750/1000, Cost: 1.8010\n",
+      " and the parameters are [-3.06370828  4.13796079] -5.434911038099297 ;\n",
+      "Epoch 750/1000, Cost: 4.4807\n",
+      " and the parameters are [-3.0637775   4.13790725] -5.43493900370106 ;\n",
+      "Epoch 750/1000, Cost: 1.3618\n",
+      " and the parameters are [-3.06377333  4.13797606] -5.43491851788654 ;\n",
+      "Epoch 750/1000, Cost: 1.2055\n",
+      " and the parameters are [-3.06372336  4.13798693] -5.434958808601523 ;\n",
+      "Epoch 750/1000, Cost: 4.7413\n",
+      " and the parameters are [-3.06371506  4.13792136] -5.435007297093329 ;\n",
+      "Epoch 750/1000, Cost: 4.9726\n",
+      " and the parameters are [-3.06370699  4.13799349] -5.434956672776749 ;\n",
+      "Epoch 750/1000, Cost: 2.2493\n",
+      " and the parameters are [-3.06376851  4.13797882] -5.434962274270573 ;\n",
+      "Epoch 750/1000, Cost: 2.1907\n",
+      " and the parameters are [-3.06376774  4.13797741] -5.434986539985064 ;\n",
+      "Epoch 750/1000, Cost: 2.4093\n",
+      " and the parameters are [-3.0637357   4.13793172] -5.4350606703593725 ;\n",
+      "Epoch 750/1000, Cost: 1.9760\n",
+      " and the parameters are [-3.0637575   4.13798473] -5.435039777220996 ;\n",
+      "Epoch 750/1000, Cost: 2.0587\n",
+      " and the parameters are [-3.06376383  4.13797241] -5.435064861870673 ;\n",
+      "Epoch 750/1000, Cost: 1.6290\n",
+      " and the parameters are [-3.06378439  4.13796627] -5.4350770168263685 ;\n",
+      "Epoch 750/1000, Cost: 3.9844\n",
+      " and the parameters are [-3.06375074  4.13804558] -5.435053790514784 ;\n",
+      "Epoch 750/1000, Cost: 4.1820\n",
+      " and the parameters are [-3.06383067  4.1379001 ] -5.435116734502483 ;\n",
+      "Epoch 750/1000, Cost: 2.2277\n",
+      " and the parameters are [-3.06386071  4.13796729] -5.435071761948122 ;\n",
+      "Epoch 750/1000, Cost: 1.8346\n",
+      " and the parameters are [-3.06380654  4.13797352] -5.435111079691151 ;\n",
+      "Epoch 750/1000, Cost: 1.2651\n",
+      " and the parameters are [-3.06380729  4.13798822] -5.435123953416648 ;\n",
+      "Epoch 750/1000, Cost: 2.4216\n",
+      " and the parameters are [-3.06383915  4.13791978] -5.435188078267778 ;\n",
+      "Epoch 750/1000, Cost: 4.6007\n",
+      " and the parameters are [-3.06390213  4.13787595] -5.43518118991925 ;\n",
+      "Epoch 750/1000, Cost: 4.8352\n",
+      " and the parameters are [-3.06389494  4.13774552] -5.435294571146754 ;\n",
+      "Epoch 750/1000, Cost: 0.7526\n",
+      " and the parameters are [-3.06390335  4.1377801 ] -5.4352833237805145 ;\n",
+      "Epoch 750/1000, Cost: 2.4260\n",
+      " and the parameters are [-3.06389003  4.13773399] -5.435358680559835 ;\n",
+      "Epoch 750/1000, Cost: 1.0425\n",
+      " and the parameters are [-3.06387889  4.13776408] -5.435366593670492 ;\n",
+      "Epoch 750/1000, Cost: 4.0279\n",
+      " and the parameters are [-3.06387007  4.13771169] -5.435425946704694 ;\n",
+      "Epoch 750/1000, Cost: 3.3468\n",
+      " and the parameters are [-3.06383883  4.13775315] -5.43542491346399 ;\n",
+      "Epoch 750/1000, Cost: 2.0652\n",
+      " and the parameters are [-3.06386695  4.13770673] -5.435463989740706 ;\n",
+      "Epoch 750/1000, Cost: 1.9541\n",
+      " and the parameters are [-3.06390598  4.13765879] -5.4354972592406305 ;\n",
+      "Epoch 750/1000, Cost: 5.3820\n",
+      " and the parameters are [-3.06390121  4.13770364] -5.4354655529426195 ;\n",
+      "Epoch 750/1000, Cost: 2.8337\n",
+      " and the parameters are [-3.0639797   4.13769814] -5.435447077862419 ;\n",
+      "Epoch 750/1000, Cost: 3.6872\n",
+      " and the parameters are [-3.06396361  4.13765681] -5.435502621167415 ;\n",
+      "Epoch 750/1000, Cost: 1.4550\n",
+      " and the parameters are [-3.06396598  4.13766066] -5.435519305408487 ;\n",
+      "Epoch 750/1000, Cost: 2.0656\n",
+      " and the parameters are [-3.06397385  4.13769891] -5.435515646898143 ;\n",
+      "Epoch 750/1000, Cost: 5.1094\n",
+      " and the parameters are [-3.06400591  4.13767524] -5.435518167132449 ;\n",
+      "Epoch 750/1000, Cost: 2.3547\n",
+      " and the parameters are [-3.06404408  4.13770799] -5.4355053156606425 ;\n",
+      "Epoch 750/1000, Cost: 1.6635\n",
+      " and the parameters are [-3.064082    4.13772614] -5.435498895619484 ;\n",
+      "Epoch 750/1000, Cost: 1.1832\n",
+      " and the parameters are [-3.06405809  4.13779456] -5.435485654745945 ;\n",
+      "Epoch 750/1000, Cost: 1.3992\n",
+      " and the parameters are [-3.06405331  4.13786952] -5.435451036754384 ;\n",
+      "Epoch 750/1000, Cost: 3.1221\n",
+      " and the parameters are [-3.06401782  4.13786914] -5.435478662269754 ;\n",
+      "Epoch 750/1000, Cost: 3.5704\n",
+      " and the parameters are [-3.06405625  4.13798015] -5.435401466802803 ;\n",
+      "Epoch 750/1000, Cost: 3.4639\n",
+      " and the parameters are [-3.064118    4.13781421] -5.435496776590706 ;\n",
+      "Epoch 750/1000, Cost: 2.7160\n",
+      " and the parameters are [-3.06407297  4.13788262] -5.435500911014771 ;\n",
+      "Epoch 750/1000, Cost: 3.3488\n",
+      " and the parameters are [-3.06404979  4.13802093] -5.435430767205708 ;\n",
+      "Epoch 750/1000, Cost: 3.2041\n",
+      " and the parameters are [-3.06412364  4.13790426] -5.435503008221571 ;\n",
+      "Epoch 750/1000, Cost: 3.3363\n",
+      " and the parameters are [-3.06412469  4.13801301] -5.435429869659155 ;\n",
+      "Epoch 750/1000, Cost: 2.1477\n",
+      " and the parameters are [-3.06417904  4.13797949] -5.435449929850408 ;\n",
+      "Epoch 750/1000, Cost: 2.5316\n",
+      " and the parameters are [-3.06422965  4.13792148] -5.435502533343289 ;\n",
+      "Epoch 750/1000, Cost: 6.4482\n",
+      " and the parameters are [-3.06418245  4.13792388] -5.43552338540854 ;\n",
+      "Epoch 750/1000, Cost: 1.8914\n",
+      " and the parameters are [-3.06419186  4.13794064] -5.435534287859128 ;\n",
+      "Epoch 750/1000, Cost: 4.7379\n",
+      " and the parameters are [-3.06431515  4.13773464] -5.435630632144026 ;\n",
+      "Epoch 750/1000, Cost: 2.2298\n",
+      " and the parameters are [-3.06435277  4.1376513 ] -5.435704993703906 ;\n",
+      "Epoch 750/1000, Cost: 0.8514\n",
+      " and the parameters are [-3.06436143  4.13764951] -5.435724066255408 ;\n",
+      "Epoch 750/1000, Cost: 1.4696\n",
+      " and the parameters are [-3.0644037   4.13765121] -5.4357330348654855 ;\n",
+      "Epoch 750/1000, Cost: 4.7299\n",
+      " and the parameters are [-3.06445078  4.13770188] -5.43569740890267 ;\n",
+      "Epoch 750/1000, Cost: 2.7545\n",
+      " and the parameters are [-3.06443325  4.13769446] -5.435733552264736 ;\n",
+      "Epoch 750/1000, Cost: 2.1872\n",
+      " and the parameters are [-3.06443434  4.13776741] -5.435692687415158 ;\n",
+      "Epoch 750/1000, Cost: 1.2736\n",
+      " and the parameters are [-3.06442171  4.13777293] -5.435721801594834 ;\n",
+      "Epoch 750/1000, Cost: 4.9387\n",
+      " and the parameters are [-3.06448353  4.13758285] -5.435833468109899 ;\n",
+      "Epoch 750/1000, Cost: 2.4089\n",
+      " and the parameters are [-3.06444899  4.13762733] -5.435842903714761 ;\n",
+      "Epoch 750/1000, Cost: 4.5440\n",
+      " and the parameters are [-3.06448166  4.13754709] -5.435907290309014 ;\n",
+      "Epoch 750/1000, Cost: 2.9071\n",
+      " and the parameters are [-3.06446996  4.13764884] -5.435845221377712 ;\n",
+      "Epoch 750/1000, Cost: 2.5002\n",
+      " and the parameters are [-3.06448531  4.13767563] -5.435842086705397 ;\n",
+      "Epoch 750/1000, Cost: 1.7307\n",
+      " and the parameters are [-3.06450592  4.13771657] -5.43581653838827 ;\n",
+      "Epoch 750/1000, Cost: 1.6930\n",
+      " and the parameters are [-3.0645048   4.13767875] -5.435866314459999 ;\n",
+      "Epoch 750/1000, Cost: 1.6216\n",
+      " and the parameters are [-3.06450756  4.13773914] -5.435839191833155 ;\n",
+      "Epoch 750/1000, Cost: 3.1164\n",
+      " and the parameters are [-3.06457957  4.13775633] -5.43580240487331 ;\n",
+      "Epoch 750/1000, Cost: 4.1818\n",
+      " and the parameters are [-3.06453897  4.13765133] -5.435910384093346 ;\n",
+      "Epoch 750/1000, Cost: 4.8402\n",
+      " and the parameters are [-3.06461642  4.13760517] -5.43592353838272 ;\n",
+      "Epoch 750/1000, Cost: 7.8967\n",
+      " and the parameters are [-3.06472195  4.13758028] -5.435851786747367 ;\n",
+      "Epoch 750/1000, Cost: 2.9038\n",
+      " and the parameters are [-3.06462518  4.13758068] -5.435924043568785 ;\n",
+      "Epoch 750/1000, Cost: 2.5647\n",
+      " and the parameters are [-3.06463783  4.13758131] -5.435946256446472 ;\n",
+      "Epoch 750/1000, Cost: 4.8900\n",
+      " and the parameters are [-3.06455286  4.13749756] -5.436062497593061 ;\n",
+      "Epoch 750/1000, Cost: 4.3651\n",
+      " and the parameters are [-3.06447248  4.13750735] -5.436090430663821 ;\n",
+      "Epoch 750/1000, Cost: 1.6569\n",
+      " and the parameters are [-3.06443321  4.1375799 ] -5.436088724113075 ;\n",
+      "Epoch 750/1000, Cost: 5.4487\n",
+      " and the parameters are [-3.06437852  4.13761174] -5.436115499372643 ;\n",
+      "Epoch 750/1000, Cost: 3.7339\n",
+      " and the parameters are [-3.06436057  4.13770361] -5.43606922442019 ;\n",
+      "Epoch 750/1000, Cost: 10.9997\n",
+      " and the parameters are [-3.06437549  4.13749299] -5.4361818108649125 ;\n",
+      "Epoch 750/1000, Cost: 3.3059\n",
+      " and the parameters are [-3.06434895  4.13746919] -5.436237883599902 ;\n",
+      "Epoch 750/1000, Cost: 5.7760\n",
+      " and the parameters are [-3.06437542  4.13743799] -5.436248888977449 ;\n",
+      "Epoch 750/1000, Cost: 1.6276\n",
+      " and the parameters are [-3.06435952  4.13745347] -5.436267260809986 ;\n",
+      "Epoch 750/1000, Cost: 5.9500\n",
+      " and the parameters are [-3.06433415  4.13759199] -5.436172097520666 ;\n",
+      "Epoch 750/1000, Cost: 0.3240\n",
+      " and the parameters are [-3.0643348   4.13760106] -5.436175288667832 ;\n",
+      "Epoch 750/1000, Cost: 2.7702\n",
+      " and the parameters are [-3.06429404  4.13770608] -5.436144354942277 ;\n",
+      "Epoch 750/1000, Cost: 2.7733\n",
+      " and the parameters are [-3.06426823  4.13775043] -5.436153797022292 ;\n",
+      "Epoch 750/1000, Cost: 2.1002\n",
+      " and the parameters are [-3.0642845   4.13777801] -5.436144607155779 ;\n",
+      "Epoch 750/1000, Cost: 2.8697\n",
+      " and the parameters are [-3.06433041  4.13783413] -5.436097902992614 ;\n",
+      "Epoch 750/1000, Cost: 4.6022\n",
+      " and the parameters are [-3.06439027  4.13775309] -5.436128746115857 ;\n",
+      "Epoch 750/1000, Cost: 8.7908\n",
+      " and the parameters are [-3.06452436  4.13751594] -5.436212823971531 ;\n",
+      "Epoch 750/1000, Cost: 1.1032\n",
+      " and the parameters are [-3.06452377  4.13755426] -5.436208267671202 ;\n",
+      "Epoch 750/1000, Cost: 4.5171\n",
+      " and the parameters are [-3.06455781  4.13766073] -5.436127582001504 ;\n",
+      "Epoch 750/1000, Cost: 2.8777\n",
+      " and the parameters are [-3.06451845  4.1377674 ] -5.43608479530444 ;\n",
+      "Epoch 750/1000, Cost: 2.0752\n",
+      " and the parameters are [-3.0645308   4.13772027] -5.436122801778289 ;\n",
+      "Epoch 750/1000, Cost: 1.9271\n",
+      " and the parameters are [-3.0645146   4.13774647] -5.436137660562276 ;\n",
+      "Epoch 750/1000, Cost: 3.3617\n",
+      " and the parameters are [-3.06452416  4.13773019] -5.4361640867290095 ;\n",
+      "Epoch 750/1000, Cost: 3.7046\n",
+      " and the parameters are [-3.06461076  4.13759744] -5.4362362588684086 ;\n",
+      "Epoch 750/1000, Cost: 3.2366\n",
+      " and the parameters are [-3.06458366  4.13769835] -5.436209172467302 ;\n",
+      "Epoch 750/1000, Cost: 1.7179\n",
+      " and the parameters are [-3.0646274   4.13762951] -5.4362564719118645 ;\n",
+      "Epoch 750/1000, Cost: 6.2677\n",
+      " and the parameters are [-3.06458146  4.13778489] -5.4361566565729795 ;\n",
+      "Epoch 750/1000, Cost: 2.0115\n",
+      " and the parameters are [-3.06462778  4.13778135] -5.436155994689342 ;\n",
+      "Epoch 750/1000, Cost: 2.8192\n",
+      " and the parameters are [-3.06458775  4.13782226] -5.436170144988883 ;\n",
+      "Epoch 750/1000, Cost: 4.1948\n",
+      " and the parameters are [-3.06453584  4.13795109] -5.436103302411635 ;\n",
+      "Epoch 750/1000, Cost: 3.6669\n",
+      " and the parameters are [-3.06452961  4.13801826] -5.436071238198027 ;\n",
+      "Epoch 750/1000, Cost: 3.3223\n",
+      " and the parameters are [-3.06455579  4.13789975] -5.436165374834874 ;\n",
+      "Epoch 750/1000, Cost: 2.1775\n",
+      " and the parameters are [-3.06458894  4.13791715] -5.436168575586322 ;\n",
+      "Epoch 750/1000, Cost: 1.9337\n",
+      " and the parameters are [-3.06463613  4.13795636] -5.436131068397823 ;\n",
+      "Epoch 750/1000, Cost: 2.9994\n",
+      " and the parameters are [-3.06468673  4.13790462] -5.4361643859668645 ;\n",
+      "Epoch 750/1000, Cost: 2.3908\n",
+      " and the parameters are [-3.06473424  4.1378427 ] -5.436200119544136 ;\n",
+      "Epoch 760/1000, Cost: 1.4839\n",
+      " and the parameters are [-3.07431721  4.1498173 ] -5.453293872443011 ;\n",
+      "Epoch 760/1000, Cost: 2.8423\n",
+      " and the parameters are [-3.07433115  4.14974733] -5.453365780323662 ;\n",
+      "Epoch 760/1000, Cost: 2.6508\n",
+      " and the parameters are [-3.07435649  4.14968987] -5.453415265820389 ;\n",
+      "Epoch 760/1000, Cost: 2.2457\n",
+      " and the parameters are [-3.07431387  4.14976472] -5.45341109391721 ;\n",
+      "Epoch 760/1000, Cost: 7.4140\n",
+      " and the parameters are [-3.07435901  4.14972317] -5.453384763134413 ;\n",
+      "Epoch 760/1000, Cost: 5.5786\n",
+      " and the parameters are [-3.07430034  4.14975603] -5.453371980696442 ;\n",
+      "Epoch 760/1000, Cost: 2.9722\n",
+      " and the parameters are [-3.07439039  4.14977554] -5.453335100094158 ;\n",
+      "Epoch 760/1000, Cost: 1.9706\n",
+      " and the parameters are [-3.07441055  4.14975663] -5.453365601102828 ;\n",
+      "Epoch 760/1000, Cost: 2.2447\n",
+      " and the parameters are [-3.07438389  4.14977638] -5.453403016256292 ;\n",
+      "Epoch 760/1000, Cost: 2.3104\n",
+      " and the parameters are [-3.07435366  4.14979038] -5.453436096238636 ;\n",
+      "Epoch 760/1000, Cost: 1.1358\n",
+      " and the parameters are [-3.07437241  4.14979987] -5.453439220961902 ;\n",
+      "Epoch 760/1000, Cost: 3.3344\n",
+      " and the parameters are [-3.07440446  4.14974693] -5.453469552823051 ;\n",
+      "Epoch 760/1000, Cost: 2.7740\n",
+      " and the parameters are [-3.07435624  4.14983488] -5.453448071503283 ;\n",
+      "Epoch 760/1000, Cost: 0.6209\n",
+      " and the parameters are [-3.07436288  4.14986533] -5.453437503620333 ;\n",
+      "Epoch 760/1000, Cost: 2.7415\n",
+      " and the parameters are [-3.07432855  4.1500221 ] -5.453356073525654 ;\n",
+      "Epoch 760/1000, Cost: 2.4578\n",
+      " and the parameters are [-3.07438152  4.15004308] -5.453330809363811 ;\n",
+      "Epoch 760/1000, Cost: 7.5248\n",
+      " and the parameters are [-3.07443827  4.14994893] -5.453341112648308 ;\n",
+      "Epoch 760/1000, Cost: 1.6265\n",
+      " and the parameters are [-3.07442364  4.14995728] -5.453361976034286 ;\n",
+      "Epoch 760/1000, Cost: 1.5709\n",
+      " and the parameters are [-3.07442559  4.15002796] -5.453335772544782 ;\n",
+      "Epoch 760/1000, Cost: 2.0347\n",
+      " and the parameters are [-3.07439832  4.15013731] -5.453295053633602 ;\n",
+      "Epoch 760/1000, Cost: 3.4941\n",
+      " and the parameters are [-3.07440849  4.15013213] -5.453329513070707 ;\n",
+      "Epoch 760/1000, Cost: 5.7671\n",
+      " and the parameters are [-3.07440122  4.15002694] -5.4534278358516435 ;\n",
+      "Epoch 760/1000, Cost: 2.1330\n",
+      " and the parameters are [-3.07443714  4.14998081] -5.453462483722094 ;\n",
+      "Epoch 760/1000, Cost: 1.3241\n",
+      " and the parameters are [-3.07442897  4.15001273] -5.453451584526447 ;\n",
+      "Epoch 760/1000, Cost: 2.3955\n",
+      " and the parameters are [-3.07445879  4.15003258] -5.453454695730496 ;\n",
+      "Epoch 760/1000, Cost: 2.1286\n",
+      " and the parameters are [-3.07437395  4.15004665] -5.453511284230436 ;\n",
+      "Epoch 760/1000, Cost: 2.2016\n",
+      " and the parameters are [-3.07436659  4.1500514 ] -5.453538948412145 ;\n",
+      "Epoch 760/1000, Cost: 1.5476\n",
+      " and the parameters are [-3.07432797  4.15008003] -5.453559038025557 ;\n",
+      "Epoch 760/1000, Cost: 4.7306\n",
+      " and the parameters are [-3.07441723  4.14998972] -5.453589887485608 ;\n",
+      "Epoch 760/1000, Cost: 5.1654\n",
+      " and the parameters are [-3.07434931  4.14991456] -5.453681127226024 ;\n",
+      "Epoch 760/1000, Cost: 3.3999\n",
+      " and the parameters are [-3.07438956  4.14984122] -5.453742393995582 ;\n",
+      "Epoch 760/1000, Cost: 4.7422\n",
+      " and the parameters are [-3.07437198  4.14980245] -5.453783065949477 ;\n",
+      "Epoch 760/1000, Cost: 0.8688\n",
+      " and the parameters are [-3.07435941  4.14987647] -5.453752206759663 ;\n",
+      "Epoch 760/1000, Cost: 2.2711\n",
+      " and the parameters are [-3.07438096  4.14989034] -5.4537625264064316 ;\n",
+      "Epoch 760/1000, Cost: 3.0184\n",
+      " and the parameters are [-3.07433926  4.14990929] -5.453798127851307 ;\n",
+      "Epoch 760/1000, Cost: 1.6552\n",
+      " and the parameters are [-3.07433449  4.14992583] -5.45381559790344 ;\n",
+      "Epoch 760/1000, Cost: 1.1752\n",
+      " and the parameters are [-3.07430582  4.14998602] -5.453812356540331 ;\n",
+      "Epoch 760/1000, Cost: 1.8335\n",
+      " and the parameters are [-3.07430612  4.1499769 ] -5.453839878545118 ;\n",
+      "Epoch 760/1000, Cost: 1.9044\n",
+      " and the parameters are [-3.07423614  4.15001354] -5.453875705185921 ;\n",
+      "Epoch 760/1000, Cost: 4.7861\n",
+      " and the parameters are [-3.07424608  4.15007065] -5.453845768000189 ;\n",
+      "Epoch 760/1000, Cost: 1.6494\n",
+      " and the parameters are [-3.07424128  4.15008907] -5.453867540681422 ;\n",
+      "Epoch 760/1000, Cost: 3.6436\n",
+      " and the parameters are [-3.07425539  4.15017267] -5.45381444017056 ;\n",
+      "Epoch 760/1000, Cost: 3.1876\n",
+      " and the parameters are [-3.07423768  4.15021284] -5.453800827534701 ;\n",
+      "Epoch 760/1000, Cost: 2.8114\n",
+      " and the parameters are [-3.07427183  4.15030174] -5.453744173628928 ;\n",
+      "Epoch 760/1000, Cost: 3.9922\n",
+      " and the parameters are [-3.07429419  4.15024762] -5.453789410488208 ;\n",
+      "Epoch 760/1000, Cost: 2.5379\n",
+      " and the parameters are [-3.07437622  4.15016599] -5.453819814589481 ;\n",
+      "Epoch 760/1000, Cost: 3.2055\n",
+      " and the parameters are [-3.07443793  4.15020483] -5.453774855254961 ;\n",
+      "Epoch 760/1000, Cost: 5.4120\n",
+      " and the parameters are [-3.07444878  4.15029959] -5.453701685737893 ;\n",
+      "Epoch 760/1000, Cost: 2.2856\n",
+      " and the parameters are [-3.07449018  4.15023907] -5.453738842733964 ;\n",
+      "Epoch 760/1000, Cost: 1.2390\n",
+      " and the parameters are [-3.07447327  4.15030476] -5.453721896906739 ;\n",
+      "Epoch 760/1000, Cost: 0.8959\n",
+      " and the parameters are [-3.0744785   4.15029979] -5.453742005252084 ;\n",
+      "Epoch 760/1000, Cost: 5.5443\n",
+      " and the parameters are [-3.07442516  4.15036987] -5.453718517828917 ;\n",
+      "Epoch 760/1000, Cost: 6.1552\n",
+      " and the parameters are [-3.07453057  4.15016182] -5.453816657191726 ;\n",
+      "Epoch 760/1000, Cost: 5.4231\n",
+      " and the parameters are [-3.07454016  4.15020334] -5.453781676856751 ;\n",
+      "Epoch 760/1000, Cost: 2.2463\n",
+      " and the parameters are [-3.07455682  4.15013101] -5.453843373520065 ;\n",
+      "Epoch 760/1000, Cost: 3.5291\n",
+      " and the parameters are [-3.07461095  4.1500456 ] -5.453889624374606 ;\n",
+      "Epoch 760/1000, Cost: 4.4841\n",
+      " and the parameters are [-3.07467875  4.15002572] -5.453892787904062 ;\n",
+      "Epoch 760/1000, Cost: 5.9507\n",
+      " and the parameters are [-3.07471999  4.14986902] -5.453975276132328 ;\n",
+      "Epoch 760/1000, Cost: 3.2221\n",
+      " and the parameters are [-3.0747259   4.14982818] -5.45401798702557 ;\n",
+      "Epoch 760/1000, Cost: 4.2102\n",
+      " and the parameters are [-3.0748031   4.14987656] -5.453936980781752 ;\n",
+      "Epoch 760/1000, Cost: 2.6008\n",
+      " and the parameters are [-3.0748496   4.14991967] -5.453893034366721 ;\n",
+      "Epoch 760/1000, Cost: 1.1007\n",
+      " and the parameters are [-3.07485507  4.14990828] -5.453923261539916 ;\n",
+      "Epoch 760/1000, Cost: 1.0133\n",
+      " and the parameters are [-3.07482598  4.1499597 ] -5.453927471226091 ;\n",
+      "Epoch 760/1000, Cost: 2.4238\n",
+      " and the parameters are [-3.0747667   4.15003874] -5.453928410153643 ;\n",
+      "Epoch 760/1000, Cost: 1.6069\n",
+      " and the parameters are [-3.07482631  4.14998264] -5.45395615218722 ;\n",
+      "Epoch 760/1000, Cost: 2.6941\n",
+      " and the parameters are [-3.07476778  4.14999753] -5.453996431637567 ;\n",
+      "Epoch 760/1000, Cost: 2.4292\n",
+      " and the parameters are [-3.07474551  4.14993824] -5.454078430488392 ;\n",
+      "Epoch 760/1000, Cost: 0.6176\n",
+      " and the parameters are [-3.0747621   4.14992306] -5.454098685315453 ;\n",
+      "Epoch 760/1000, Cost: 3.4752\n",
+      " and the parameters are [-3.0747918   4.14989165] -5.454118407462303 ;\n",
+      "Epoch 760/1000, Cost: 2.3306\n",
+      " and the parameters are [-3.07476769  4.14987432] -5.454161881807952 ;\n",
+      "Epoch 760/1000, Cost: 1.6928\n",
+      " and the parameters are [-3.07479728  4.14988964] -5.454155975647235 ;\n",
+      "Epoch 760/1000, Cost: 1.2102\n",
+      " and the parameters are [-3.07480576  4.1498861 ] -5.454181520442033 ;\n",
+      "Epoch 760/1000, Cost: 2.3978\n",
+      " and the parameters are [-3.07485445  4.14988696] -5.454186364597138 ;\n",
+      "Epoch 760/1000, Cost: 2.4449\n",
+      " and the parameters are [-3.07485801  4.14981703] -5.454255418203976 ;\n",
+      "Epoch 760/1000, Cost: 3.4687\n",
+      " and the parameters are [-3.07477753  4.14980655] -5.454307238606285 ;\n",
+      "Epoch 760/1000, Cost: 4.3453\n",
+      " and the parameters are [-3.07484436  4.14979596] -5.454292815429359 ;\n",
+      "Epoch 760/1000, Cost: 1.6978\n",
+      " and the parameters are [-3.07486346  4.14987374] -5.454249049181173 ;\n",
+      "Epoch 760/1000, Cost: 7.8050\n",
+      " and the parameters are [-3.07476302  4.150001  ] -5.454204518970849 ;\n",
+      "Epoch 760/1000, Cost: 8.0568\n",
+      " and the parameters are [-3.07487273  4.1499074 ] -5.454201569922733 ;\n",
+      "Epoch 760/1000, Cost: 3.6687\n",
+      " and the parameters are [-3.07484325  4.15005066] -5.454114493444156 ;\n",
+      "Epoch 760/1000, Cost: 4.1897\n",
+      " and the parameters are [-3.0748701   4.15004028] -5.454122572097437 ;\n",
+      "Epoch 760/1000, Cost: 3.9214\n",
+      " and the parameters are [-3.07486449  4.14999664] -5.454164666075622 ;\n",
+      "Epoch 760/1000, Cost: 2.9643\n",
+      " and the parameters are [-3.07482611  4.15005844] -5.454165560897836 ;\n",
+      "Epoch 760/1000, Cost: 3.3817\n",
+      " and the parameters are [-3.07492118  4.14996008] -5.454216746736879 ;\n",
+      "Epoch 760/1000, Cost: 2.7572\n",
+      " and the parameters are [-3.07491858  4.1500537 ] -5.454183320999613 ;\n",
+      "Epoch 760/1000, Cost: 2.6146\n",
+      " and the parameters are [-3.07498505  4.15005578] -5.454173167297928 ;\n",
+      "Epoch 760/1000, Cost: 4.6115\n",
+      " and the parameters are [-3.07486785  4.15021291] -5.454131213098734 ;\n",
+      "Epoch 760/1000, Cost: 2.9167\n",
+      " and the parameters are [-3.07489707  4.15019427] -5.454158137940992 ;\n",
+      "Epoch 760/1000, Cost: 4.9445\n",
+      " and the parameters are [-3.07484712  4.15020911] -5.4541816646594645 ;\n",
+      "Epoch 760/1000, Cost: 2.7860\n",
+      " and the parameters are [-3.07481077  4.15027637] -5.454178887107093 ;\n",
+      "Epoch 760/1000, Cost: 3.5640\n",
+      " and the parameters are [-3.07482387  4.15021894] -5.454233423346057 ;\n",
+      "Epoch 760/1000, Cost: 3.2022\n",
+      " and the parameters are [-3.07480218  4.15028239] -5.454226460699695 ;\n",
+      "Epoch 760/1000, Cost: 1.7629\n",
+      " and the parameters are [-3.07479853  4.15032465] -5.454221956775632 ;\n",
+      "Epoch 760/1000, Cost: 3.1439\n",
+      " and the parameters are [-3.07476607  4.15038616] -5.45423729688084 ;\n",
+      "Epoch 760/1000, Cost: 2.6609\n",
+      " and the parameters are [-3.07470962  4.15043732] -5.4542511589929985 ;\n",
+      "Epoch 760/1000, Cost: 1.6786\n",
+      " and the parameters are [-3.07470652  4.15049846] -5.4542321705559775 ;\n",
+      "Epoch 760/1000, Cost: 2.3669\n",
+      " and the parameters are [-3.07471797  4.15048921] -5.454254716634888 ;\n",
+      "Epoch 760/1000, Cost: 0.8345\n",
+      " and the parameters are [-3.07471906  4.15052969] -5.4542423138834 ;\n",
+      "Epoch 760/1000, Cost: 4.8780\n",
+      " and the parameters are [-3.07478433  4.1505301 ] -5.454218723199477 ;\n",
+      "Epoch 760/1000, Cost: 4.0269\n",
+      " and the parameters are [-3.0747465   4.15052106] -5.454265920148644 ;\n",
+      "Epoch 760/1000, Cost: 1.7228\n",
+      " and the parameters are [-3.07474727  4.1505917 ] -5.454235817793642 ;\n",
+      "Epoch 760/1000, Cost: 1.7200\n",
+      " and the parameters are [-3.07477012  4.1505663 ] -5.454268361484686 ;\n",
+      "Epoch 760/1000, Cost: 2.9014\n",
+      " and the parameters are [-3.07478448  4.15068748] -5.454192934158966 ;\n",
+      "Epoch 760/1000, Cost: 3.7869\n",
+      " and the parameters are [-3.07479783  4.15080486] -5.454121650641609 ;\n",
+      "Epoch 760/1000, Cost: 0.3599\n",
+      " and the parameters are [-3.07480636  4.15082375] -5.454112867739437 ;\n",
+      "Epoch 760/1000, Cost: 3.9323\n",
+      " and the parameters are [-3.07486409  4.15073956] -5.4541417392391685 ;\n",
+      "Epoch 760/1000, Cost: 2.0324\n",
+      " and the parameters are [-3.07489128  4.15069374] -5.4541800194382235 ;\n",
+      "Epoch 760/1000, Cost: 1.9458\n",
+      " and the parameters are [-3.07486417  4.15073304] -5.454186970358151 ;\n",
+      "Epoch 760/1000, Cost: 1.7361\n",
+      " and the parameters are [-3.07483671  4.15085126] -5.454135761099784 ;\n",
+      "Epoch 760/1000, Cost: 1.8919\n",
+      " and the parameters are [-3.07484794  4.15092287] -5.454107226985578 ;\n",
+      "Epoch 760/1000, Cost: 2.3189\n",
+      " and the parameters are [-3.07484128  4.15090341] -5.454153860731187 ;\n",
+      "Epoch 760/1000, Cost: 2.3565\n",
+      " and the parameters are [-3.074868    4.15094708] -5.45413039483922 ;\n",
+      "Epoch 760/1000, Cost: 3.2456\n",
+      " and the parameters are [-3.07490204  4.15086299] -5.454189943460844 ;\n",
+      "Epoch 760/1000, Cost: 2.9063\n",
+      " and the parameters are [-3.07494238  4.15095147] -5.4541231984679595 ;\n",
+      "Epoch 760/1000, Cost: 3.6135\n",
+      " and the parameters are [-3.0748914   4.15090259] -5.45419722594254 ;\n",
+      "Epoch 760/1000, Cost: 0.7466\n",
+      " and the parameters are [-3.07490943  4.15087592] -5.454223820931653 ;\n",
+      "Epoch 760/1000, Cost: 4.4119\n",
+      " and the parameters are [-3.07490561  4.15091526] -5.454209216054214 ;\n",
+      "Epoch 760/1000, Cost: 6.9449\n",
+      " and the parameters are [-3.07492895  4.15083774] -5.454248251487093 ;\n",
+      "Epoch 760/1000, Cost: 1.8288\n",
+      " and the parameters are [-3.07495868  4.1508263 ] -5.454262881029755 ;\n",
+      "Epoch 760/1000, Cost: 1.8594\n",
+      " and the parameters are [-3.07491885  4.15083893] -5.454294992667743 ;\n",
+      "Epoch 760/1000, Cost: 4.9321\n",
+      " and the parameters are [-3.07493085  4.15070457] -5.45439373295469 ;\n",
+      "Epoch 760/1000, Cost: 1.7142\n",
+      " and the parameters are [-3.07492452  4.15072424] -5.454412067497246 ;\n",
+      "Epoch 760/1000, Cost: 5.0768\n",
+      " and the parameters are [-3.07497604  4.15076978] -5.454378128935567 ;\n",
+      "Epoch 760/1000, Cost: 4.5299\n",
+      " and the parameters are [-3.07492835  4.15094334] -5.454310431049754 ;\n",
+      "Epoch 760/1000, Cost: 2.0600\n",
+      " and the parameters are [-3.07494262  4.15096778] -5.4543043782747045 ;\n",
+      "Epoch 760/1000, Cost: 2.0819\n",
+      " and the parameters are [-3.07493093  4.1510082 ] -5.454291251970902 ;\n",
+      "Epoch 760/1000, Cost: 2.2553\n",
+      " and the parameters are [-3.07499151  4.15096352] -5.454318647881842 ;\n",
+      "Epoch 760/1000, Cost: 4.7798\n",
+      " and the parameters are [-3.07499409  4.15102154] -5.454288823637722 ;\n",
+      "Epoch 760/1000, Cost: 1.0174\n",
+      " and the parameters are [-3.0750224   4.15102412] -5.454292177911272 ;\n",
+      "Epoch 760/1000, Cost: 3.6441\n",
+      " and the parameters are [-3.07505931  4.15095248] -5.454351349778319 ;\n",
+      "Epoch 760/1000, Cost: 2.9999\n",
+      " and the parameters are [-3.07507866  4.15095859] -5.454339802045458 ;\n",
+      "Epoch 760/1000, Cost: 0.8576\n",
+      " and the parameters are [-3.0751007   4.15094268] -5.454362289799371 ;\n",
+      "Epoch 760/1000, Cost: 1.5200\n",
+      " and the parameters are [-3.07510885  4.15094802] -5.454378144156334 ;\n",
+      "Epoch 760/1000, Cost: 5.7612\n",
+      " and the parameters are [-3.07514867  4.15098745] -5.454340715602995 ;\n",
+      "Epoch 760/1000, Cost: 6.2773\n",
+      " and the parameters are [-3.07519639  4.15086921] -5.454391698119053 ;\n",
+      "Epoch 760/1000, Cost: 2.2938\n",
+      " and the parameters are [-3.07518047  4.15089535] -5.454414680813171 ;\n",
+      "Epoch 760/1000, Cost: 4.2668\n",
+      " and the parameters are [-3.0750908   4.15084651] -5.454525060302875 ;\n",
+      "Epoch 760/1000, Cost: 3.7115\n",
+      " and the parameters are [-3.0751491   4.15081149] -5.454531575235464 ;\n",
+      "Epoch 760/1000, Cost: 1.1456\n",
+      " and the parameters are [-3.07514722  4.15081126] -5.454557804119773 ;\n",
+      "Epoch 760/1000, Cost: 2.7434\n",
+      " and the parameters are [-3.07514123  4.15085425] -5.454548842034885 ;\n",
+      "Epoch 760/1000, Cost: 1.4115\n",
+      " and the parameters are [-3.07513076  4.15086623] -5.454571220766112 ;\n",
+      "Epoch 760/1000, Cost: 3.1361\n",
+      " and the parameters are [-3.07508734  4.15104115] -5.454481920421849 ;\n",
+      "Epoch 760/1000, Cost: 1.8960\n",
+      " and the parameters are [-3.07503069  4.15112103] -5.454472684310438 ;\n",
+      "Epoch 760/1000, Cost: 6.8064\n",
+      " and the parameters are [-3.07510153  4.15104514] -5.454468288126912 ;\n",
+      "Epoch 760/1000, Cost: 3.2278\n",
+      " and the parameters are [-3.0750998  4.1510187] -5.454510529856684 ;\n",
+      "Epoch 760/1000, Cost: 2.7874\n",
+      " and the parameters are [-3.07506744  4.15099584] -5.4545736139524035 ;\n",
+      "Epoch 760/1000, Cost: 1.3868\n",
+      " and the parameters are [-3.07507702  4.15103575] -5.454564103810939 ;\n",
+      "Epoch 760/1000, Cost: 2.4485\n",
+      " and the parameters are [-3.07503704  4.15109526] -5.45456563244126 ;\n",
+      "Epoch 760/1000, Cost: 1.4631\n",
+      " and the parameters are [-3.07503255  4.15110729] -5.4545859266062395 ;\n",
+      "Epoch 760/1000, Cost: 2.9957\n",
+      " and the parameters are [-3.07508391  4.15109646] -5.4545962720167225 ;\n",
+      "Epoch 760/1000, Cost: 4.4313\n",
+      " and the parameters are [-3.07504361  4.15111587] -5.454604844479618 ;\n",
+      "Epoch 760/1000, Cost: 7.1551\n",
+      " and the parameters are [-3.07489114  4.15098428] -5.454776209320191 ;\n",
+      "Epoch 760/1000, Cost: 3.8857\n",
+      " and the parameters are [-3.07490061  4.15097917] -5.454786636932019 ;\n",
+      "Epoch 760/1000, Cost: 2.3354\n",
+      " and the parameters are [-3.0748674   4.15108154] -5.454752873231336 ;\n",
+      "Epoch 760/1000, Cost: 3.0537\n",
+      " and the parameters are [-3.07492482  4.15102823] -5.454780238960912 ;\n",
+      "Epoch 760/1000, Cost: 3.5306\n",
+      " and the parameters are [-3.07490238  4.15117116] -5.454709972060916 ;\n",
+      "Epoch 760/1000, Cost: 4.0625\n",
+      " and the parameters are [-3.0749265   4.15116473] -5.454723628347106 ;\n",
+      "Epoch 760/1000, Cost: 2.0337\n",
+      " and the parameters are [-3.07497327  4.15112714] -5.4547499103049 ;\n",
+      "Epoch 760/1000, Cost: 5.0701\n",
+      " and the parameters are [-3.0750277   4.15100305] -5.4548218415370275 ;\n",
+      "Epoch 760/1000, Cost: 4.2339\n",
+      " and the parameters are [-3.07498514  4.15113165] -5.454775902008697 ;\n",
+      "Epoch 760/1000, Cost: 3.8396\n",
+      " and the parameters are [-3.07498513  4.15117377] -5.4547679097806485 ;\n",
+      "Epoch 760/1000, Cost: 1.5327\n",
+      " and the parameters are [-3.07497626  4.15115815] -5.454810845657987 ;\n",
+      "Epoch 760/1000, Cost: 6.7188\n",
+      " and the parameters are [-3.07504476  4.1510273 ] -5.454856563324224 ;\n",
+      "Epoch 760/1000, Cost: 3.8237\n",
+      " and the parameters are [-3.0751126   4.15087618] -5.45494224397167 ;\n",
+      "Epoch 760/1000, Cost: 1.3353\n",
+      " and the parameters are [-3.07512091  4.1508523 ] -5.454980308212095 ;\n",
+      "Epoch 760/1000, Cost: 4.3639\n",
+      " and the parameters are [-3.07513264  4.15081975] -5.455020416927732 ;\n",
+      "Epoch 760/1000, Cost: 1.2264\n",
+      " and the parameters are [-3.0751316   4.15087116] -5.455007761736056 ;\n",
+      "Epoch 760/1000, Cost: 2.0078\n",
+      " and the parameters are [-3.07515514  4.15085786] -5.455023116957637 ;\n",
+      "Epoch 760/1000, Cost: 4.1649\n",
+      " and the parameters are [-3.07522807  4.1507753 ] -5.455073443300974 ;\n",
+      "Epoch 760/1000, Cost: 0.9370\n",
+      " and the parameters are [-3.07522066  4.15080387] -5.455078655739022 ;\n",
+      "Epoch 760/1000, Cost: 2.4358\n",
+      " and the parameters are [-3.07525561  4.15081318] -5.455073153300493 ;\n",
+      "Epoch 760/1000, Cost: 3.5533\n",
+      " and the parameters are [-3.07522856  4.15082359] -5.4550985712989615 ;\n",
+      "Epoch 760/1000, Cost: 7.8000\n",
+      " and the parameters are [-3.0752065   4.15084804] -5.45508364034975 ;\n",
+      "Epoch 760/1000, Cost: 2.1098\n",
+      " and the parameters are [-3.07520528  4.15079009] -5.455147215575391 ;\n",
+      "Epoch 760/1000, Cost: 2.1784\n",
+      " and the parameters are [-3.07515932  4.15089356] -5.455121518800559 ;\n",
+      "Epoch 760/1000, Cost: 4.0652\n",
+      " and the parameters are [-3.07520161  4.15089307] -5.455110896805096 ;\n",
+      "Epoch 760/1000, Cost: 1.5048\n",
+      " and the parameters are [-3.0752019   4.15092774] -5.455115386134715 ;\n",
+      "Epoch 760/1000, Cost: 2.5831\n",
+      " and the parameters are [-3.07529153  4.15090359] -5.455101213887068 ;\n",
+      "Epoch 760/1000, Cost: 2.3409\n",
+      " and the parameters are [-3.07531772  4.15093183] -5.455073912351059 ;\n",
+      "Epoch 760/1000, Cost: 3.0139\n",
+      " and the parameters are [-3.07527209  4.15105609] -5.455026529753798 ;\n",
+      "Epoch 760/1000, Cost: 7.5490\n",
+      " and the parameters are [-3.07535623  4.15093701] -5.455050014212602 ;\n",
+      "Epoch 760/1000, Cost: 4.6457\n",
+      " and the parameters are [-3.07541999  4.15082241] -5.455115848597583 ;\n",
+      "Epoch 760/1000, Cost: 1.1830\n",
+      " and the parameters are [-3.07543788  4.15082435] -5.455127244142756 ;\n",
+      "Epoch 760/1000, Cost: 1.9351\n",
+      " and the parameters are [-3.07546087  4.15076497] -5.45518538285042 ;\n",
+      "Epoch 760/1000, Cost: 1.9997\n",
+      " and the parameters are [-3.07551171  4.15069368] -5.455231312286523 ;\n",
+      "Epoch 760/1000, Cost: 5.4836\n",
+      " and the parameters are [-3.07560557  4.15058247] -5.4552682167308255 ;\n",
+      "Epoch 760/1000, Cost: 1.4165\n",
+      " and the parameters are [-3.07560782  4.15062984] -5.455252360257806 ;\n",
+      "Epoch 760/1000, Cost: 2.7424\n",
+      " and the parameters are [-3.07554649  4.15080767] -5.455172140239606 ;\n",
+      "Epoch 760/1000, Cost: 1.4941\n",
+      " and the parameters are [-3.0755619   4.15078968] -5.45519951445115 ;\n",
+      "Epoch 760/1000, Cost: 6.8965\n",
+      " and the parameters are [-3.07551665  4.15088793] -5.455124069638306 ;\n",
+      "Epoch 760/1000, Cost: 3.2074\n",
+      " and the parameters are [-3.0754967   4.15093819] -5.455122117241517 ;\n",
+      "Epoch 760/1000, Cost: 0.9835\n",
+      " and the parameters are [-3.0754865   4.15098706] -5.45511281054067 ;\n",
+      "Epoch 760/1000, Cost: 1.4957\n",
+      " and the parameters are [-3.07545509  4.1509922 ] -5.455144740795111 ;\n",
+      "Epoch 760/1000, Cost: 1.1236\n",
+      " and the parameters are [-3.07547199  4.15099709] -5.455153909364235 ;\n",
+      "Epoch 760/1000, Cost: 3.6943\n",
+      " and the parameters are [-3.07545841  4.15095184] -5.455213761308351 ;\n",
+      "Epoch 760/1000, Cost: 7.6318\n",
+      " and the parameters are [-3.07545111  4.15077136] -5.455341996502149 ;\n",
+      "Epoch 760/1000, Cost: 3.4907\n",
+      " and the parameters are [-3.07537629  4.15092726] -5.45527139626908 ;\n",
+      "Epoch 760/1000, Cost: 2.3577\n",
+      " and the parameters are [-3.07537532  4.15099235] -5.455244574678539 ;\n",
+      "Epoch 760/1000, Cost: 1.8948\n",
+      " and the parameters are [-3.07540051  4.15100863] -5.4552385682763225 ;\n",
+      "Epoch 760/1000, Cost: 4.3676\n",
+      " and the parameters are [-3.07537382  4.15111488] -5.455167815073412 ;\n",
+      "Epoch 770/1000, Cost: 1.5871\n",
+      " and the parameters are [-3.08483061  4.16297457] -5.472013783391507 ;\n",
+      "Epoch 770/1000, Cost: 3.3223\n",
+      " and the parameters are [-3.08483929  4.16307915] -5.471936464214596 ;\n",
+      "Epoch 770/1000, Cost: 4.3257\n",
+      " and the parameters are [-3.08488803  4.16297211] -5.472002681154264 ;\n",
+      "Epoch 770/1000, Cost: 2.9383\n",
+      " and the parameters are [-3.08481518  4.16302736] -5.472025733771538 ;\n",
+      "Epoch 770/1000, Cost: 2.4981\n",
+      " and the parameters are [-3.08484067  4.16306845] -5.471996142742115 ;\n",
+      "Epoch 770/1000, Cost: 3.6545\n",
+      " and the parameters are [-3.08479475  4.16309762] -5.472020345905607 ;\n",
+      "Epoch 770/1000, Cost: 3.0563\n",
+      " and the parameters are [-3.08484956  4.16304657] -5.472043706109903 ;\n",
+      "Epoch 770/1000, Cost: 2.8747\n",
+      " and the parameters are [-3.08488831  4.16308905] -5.472016806567282 ;\n",
+      "Epoch 770/1000, Cost: 2.0070\n",
+      " and the parameters are [-3.08488478  4.1630656 ] -5.472071308518123 ;\n",
+      "Epoch 770/1000, Cost: 3.1374\n",
+      " and the parameters are [-3.08483447  4.16310264] -5.4720984592359905 ;\n",
+      "Epoch 770/1000, Cost: 2.7982\n",
+      " and the parameters are [-3.08485632  4.16312287] -5.472089680956377 ;\n",
+      "Epoch 770/1000, Cost: 1.6159\n",
+      " and the parameters are [-3.08486426  4.16318995] -5.47206389855851 ;\n",
+      "Epoch 770/1000, Cost: 11.7959\n",
+      " and the parameters are [-3.08485824  4.16291265] -5.47223509353554 ;\n",
+      "Epoch 770/1000, Cost: 0.7448\n",
+      " and the parameters are [-3.0848595  4.1629174] -5.472249363346511 ;\n",
+      "Epoch 770/1000, Cost: 2.8185\n",
+      " and the parameters are [-3.08488969  4.16293334] -5.472257335621997 ;\n",
+      "Epoch 770/1000, Cost: 2.6937\n",
+      " and the parameters are [-3.08493033  4.16292218] -5.472262635165599 ;\n",
+      "Epoch 770/1000, Cost: 2.0812\n",
+      " and the parameters are [-3.08497793  4.16289072] -5.472288051541487 ;\n",
+      "Epoch 770/1000, Cost: 4.4394\n",
+      " and the parameters are [-3.08502408  4.16271663] -5.472398299980226 ;\n",
+      "Epoch 770/1000, Cost: 5.1648\n",
+      " and the parameters are [-3.08516754  4.16248262] -5.472506251643374 ;\n",
+      "Epoch 770/1000, Cost: 4.8307\n",
+      " and the parameters are [-3.08509457  4.16255969] -5.472514042767927 ;\n",
+      "Epoch 770/1000, Cost: 2.4479\n",
+      " and the parameters are [-3.08512267  4.16255329] -5.472527939983187 ;\n",
+      "Epoch 770/1000, Cost: 2.2771\n",
+      " and the parameters are [-3.08512226  4.16259028] -5.472527533508911 ;\n",
+      "Epoch 770/1000, Cost: 6.6416\n",
+      " and the parameters are [-3.08513659  4.16255585] -5.472547237217883 ;\n",
+      "Epoch 770/1000, Cost: 7.1769\n",
+      " and the parameters are [-3.08512574  4.16230504] -5.4727229277839795 ;\n",
+      "Epoch 770/1000, Cost: 1.9764\n",
+      " and the parameters are [-3.08514183  4.1622591 ] -5.4727683721512825 ;\n",
+      "Epoch 770/1000, Cost: 1.1910\n",
+      " and the parameters are [-3.08514046  4.16225367] -5.472794749271318 ;\n",
+      "Epoch 770/1000, Cost: 5.7099\n",
+      " and the parameters are [-3.08519481  4.1622623 ] -5.472764933438848 ;\n",
+      "Epoch 770/1000, Cost: 4.8048\n",
+      " and the parameters are [-3.08519058  4.16225521] -5.472788799347363 ;\n",
+      "Epoch 770/1000, Cost: 1.8635\n",
+      " and the parameters are [-3.08521362  4.16226519] -5.472796183717376 ;\n",
+      "Epoch 770/1000, Cost: 2.1148\n",
+      " and the parameters are [-3.0851959   4.16229919] -5.472807222316821 ;\n",
+      "Epoch 770/1000, Cost: 2.6256\n",
+      " and the parameters are [-3.08523754  4.16236792] -5.4727621790157635 ;\n",
+      "Epoch 770/1000, Cost: 2.6397\n",
+      " and the parameters are [-3.08526615  4.16239527] -5.4727574033210065 ;\n",
+      "Epoch 770/1000, Cost: 3.0556\n",
+      " and the parameters are [-3.0852791   4.16234781] -5.472802881713225 ;\n",
+      "Epoch 770/1000, Cost: 2.7803\n",
+      " and the parameters are [-3.08527811  4.16246039] -5.472740225175311 ;\n",
+      "Epoch 770/1000, Cost: 2.3069\n",
+      " and the parameters are [-3.08526698  4.16244637] -5.472789149563672 ;\n",
+      "Epoch 770/1000, Cost: 2.8743\n",
+      " and the parameters are [-3.0853091   4.16243474] -5.472809220543916 ;\n",
+      "Epoch 770/1000, Cost: 4.8012\n",
+      " and the parameters are [-3.08520071  4.16249022] -5.472830836040814 ;\n",
+      "Epoch 770/1000, Cost: 4.3584\n",
+      " and the parameters are [-3.08529185  4.16230638] -5.4729107611537 ;\n",
+      "Epoch 770/1000, Cost: 3.9109\n",
+      " and the parameters are [-3.08527059  4.16223833] -5.4729930472469555 ;\n",
+      "Epoch 770/1000, Cost: 2.5564\n",
+      " and the parameters are [-3.08525192  4.16218763] -5.473065982164254 ;\n",
+      "Epoch 770/1000, Cost: 1.5649\n",
+      " and the parameters are [-3.08523653  4.16219783] -5.473095030466957 ;\n",
+      "Epoch 770/1000, Cost: 2.7470\n",
+      " and the parameters are [-3.08522694  4.16227092] -5.473072032914816 ;\n",
+      "Epoch 770/1000, Cost: 3.7747\n",
+      " and the parameters are [-3.08526776  4.16229431] -5.473046649707966 ;\n",
+      "Epoch 770/1000, Cost: 3.3387\n",
+      " and the parameters are [-3.08529176  4.16227957] -5.47306162613221 ;\n",
+      "Epoch 770/1000, Cost: 5.1162\n",
+      " and the parameters are [-3.08528589  4.16235031] -5.473001223988606 ;\n",
+      "Epoch 770/1000, Cost: 1.4934\n",
+      " and the parameters are [-3.08526108  4.16238813] -5.473006897188631 ;\n",
+      "Epoch 770/1000, Cost: 3.1007\n",
+      " and the parameters are [-3.08524409  4.16248125] -5.472952175269442 ;\n",
+      "Epoch 770/1000, Cost: 1.9078\n",
+      " and the parameters are [-3.0851772   4.16259551] -5.4729235286548 ;\n",
+      "Epoch 770/1000, Cost: 1.7214\n",
+      " and the parameters are [-3.08514253  4.16261835] -5.472950422152336 ;\n",
+      "Epoch 770/1000, Cost: 1.5278\n",
+      " and the parameters are [-3.0851316   4.16265304] -5.472959919065277 ;\n",
+      "Epoch 770/1000, Cost: 2.9244\n",
+      " and the parameters are [-3.08505147  4.16271437] -5.472983163207181 ;\n",
+      "Epoch 770/1000, Cost: 1.9684\n",
+      " and the parameters are [-3.08506208  4.16264705] -5.473041860440247 ;\n",
+      "Epoch 770/1000, Cost: 3.2887\n",
+      " and the parameters are [-3.08502845  4.16260243] -5.473128118166004 ;\n",
+      "Epoch 770/1000, Cost: 1.5815\n",
+      " and the parameters are [-3.08499319  4.16268494] -5.473102267542317 ;\n",
+      "Epoch 770/1000, Cost: 0.9709\n",
+      " and the parameters are [-3.08501273  4.16270034] -5.473100420354752 ;\n",
+      "Epoch 770/1000, Cost: 0.9120\n",
+      " and the parameters are [-3.08499922  4.16273252] -5.473104794587601 ;\n",
+      "Epoch 770/1000, Cost: 1.6663\n",
+      " and the parameters are [-3.0849989   4.16270108] -5.473158250185408 ;\n",
+      "Epoch 770/1000, Cost: 1.3078\n",
+      " and the parameters are [-3.08505708  4.16271462] -5.473130253915364 ;\n",
+      "Epoch 770/1000, Cost: 1.6096\n",
+      " and the parameters are [-3.0850502   4.16275078] -5.4731360123446855 ;\n",
+      "Epoch 770/1000, Cost: 2.6899\n",
+      " and the parameters are [-3.08503934  4.16281302] -5.473121707308912 ;\n",
+      "Epoch 770/1000, Cost: 1.8796\n",
+      " and the parameters are [-3.08504238  4.16282126] -5.473127949294079 ;\n",
+      "Epoch 770/1000, Cost: 2.8476\n",
+      " and the parameters are [-3.08503226  4.16288128] -5.473097108218388 ;\n",
+      "Epoch 770/1000, Cost: 3.2766\n",
+      " and the parameters are [-3.08501399  4.1628497 ] -5.473156602442342 ;\n",
+      "Epoch 770/1000, Cost: 2.7967\n",
+      " and the parameters are [-3.08501912  4.1628624 ] -5.473174032826983 ;\n",
+      "Epoch 770/1000, Cost: 1.8731\n",
+      " and the parameters are [-3.08498022  4.16289844] -5.473185785386618 ;\n",
+      "Epoch 770/1000, Cost: 2.0098\n",
+      " and the parameters are [-3.08500153  4.16291858] -5.473183756413848 ;\n",
+      "Epoch 770/1000, Cost: 3.2363\n",
+      " and the parameters are [-3.08498285  4.16290129] -5.473225144376332 ;\n",
+      "Epoch 770/1000, Cost: 0.5704\n",
+      " and the parameters are [-3.0849737   4.16292276] -5.473231805307606 ;\n",
+      "Epoch 770/1000, Cost: 2.5359\n",
+      " and the parameters are [-3.08498192  4.16289548] -5.473272677534579 ;\n",
+      "Epoch 770/1000, Cost: 3.1882\n",
+      " and the parameters are [-3.08501343  4.16280754] -5.473342954882818 ;\n",
+      "Epoch 770/1000, Cost: 4.1698\n",
+      " and the parameters are [-3.08504776  4.16269671] -5.473420921420503 ;\n",
+      "Epoch 770/1000, Cost: 2.8404\n",
+      " and the parameters are [-3.08508791  4.16273143] -5.473382238269855 ;\n",
+      "Epoch 770/1000, Cost: 2.1474\n",
+      " and the parameters are [-3.08510031  4.16281555] -5.473336433940401 ;\n",
+      "Epoch 770/1000, Cost: 5.2568\n",
+      " and the parameters are [-3.08515895  4.16290547] -5.473264476137168 ;\n",
+      "Epoch 770/1000, Cost: 1.9188\n",
+      " and the parameters are [-3.08516535  4.16296221] -5.473246437417392 ;\n",
+      "Epoch 770/1000, Cost: 2.5989\n",
+      " and the parameters are [-3.08508114  4.16309643] -5.473208513177744 ;\n",
+      "Epoch 770/1000, Cost: 4.5404\n",
+      " and the parameters are [-3.08521072  4.16308033] -5.473159037883917 ;\n",
+      "Epoch 770/1000, Cost: 2.6396\n",
+      " and the parameters are [-3.08525632  4.16307117] -5.473163792720769 ;\n",
+      "Epoch 770/1000, Cost: 2.4604\n",
+      " and the parameters are [-3.08529332  4.16298986] -5.473231019014572 ;\n",
+      "Epoch 770/1000, Cost: 5.1685\n",
+      " and the parameters are [-3.08532087  4.16300784] -5.473211180103958 ;\n",
+      "Epoch 770/1000, Cost: 3.2299\n",
+      " and the parameters are [-3.08534343  4.16307967] -5.4731696859415475 ;\n",
+      "Epoch 770/1000, Cost: 2.1357\n",
+      " and the parameters are [-3.08533491  4.1630404 ] -5.473227266961683 ;\n",
+      "Epoch 770/1000, Cost: 2.5674\n",
+      " and the parameters are [-3.08536305  4.1631023 ] -5.473191185446053 ;\n",
+      "Epoch 770/1000, Cost: 2.3401\n",
+      " and the parameters are [-3.08537668  4.16315677] -5.473169857285186 ;\n",
+      "Epoch 770/1000, Cost: 7.7219\n",
+      " and the parameters are [-3.08549491  4.1629525 ] -5.4732283301553375 ;\n",
+      "Epoch 770/1000, Cost: 1.8937\n",
+      " and the parameters are [-3.08543427  4.16295475] -5.4732837599446125 ;\n",
+      "Epoch 770/1000, Cost: 7.2224\n",
+      " and the parameters are [-3.08541142  4.16296711] -5.473274408465892 ;\n",
+      "Epoch 770/1000, Cost: 1.0485\n",
+      " and the parameters are [-3.08542712  4.16297223] -5.4732813176553385 ;\n",
+      "Epoch 770/1000, Cost: 3.3403\n",
+      " and the parameters are [-3.0853488   4.16314965] -5.47320765471785 ;\n",
+      "Epoch 770/1000, Cost: 4.0883\n",
+      " and the parameters are [-3.08539375  4.16322459] -5.47314725890621 ;\n",
+      "Epoch 770/1000, Cost: 2.1190\n",
+      " and the parameters are [-3.08541001  4.16321915] -5.47317394518743 ;\n",
+      "Epoch 770/1000, Cost: 2.4123\n",
+      " and the parameters are [-3.08545168  4.16328242] -5.473131518507774 ;\n",
+      "Epoch 770/1000, Cost: 1.9389\n",
+      " and the parameters are [-3.08546489  4.16324773] -5.473172720730183 ;\n",
+      "Epoch 770/1000, Cost: 7.0926\n",
+      " and the parameters are [-3.08537881  4.16326824] -5.473190515289042 ;\n",
+      "Epoch 770/1000, Cost: 1.5321\n",
+      " and the parameters are [-3.08539584  4.1632551 ] -5.473215152241887 ;\n",
+      "Epoch 770/1000, Cost: 4.2200\n",
+      " and the parameters are [-3.08538661  4.16316698] -5.473282789794721 ;\n",
+      "Epoch 770/1000, Cost: 3.8271\n",
+      " and the parameters are [-3.08535813  4.16324881] -5.473264485203697 ;\n",
+      "Epoch 770/1000, Cost: 2.8453\n",
+      " and the parameters are [-3.08532183  4.16325306] -5.473307106756411 ;\n",
+      "Epoch 770/1000, Cost: 5.9131\n",
+      " and the parameters are [-3.08534957  4.16330969] -5.473243312815078 ;\n",
+      "Epoch 770/1000, Cost: 4.4537\n",
+      " and the parameters are [-3.08526404  4.16335297] -5.473280629627663 ;\n",
+      "Epoch 770/1000, Cost: 1.0520\n",
+      " and the parameters are [-3.0852639   4.16340241] -5.4732685499858675 ;\n",
+      "Epoch 770/1000, Cost: 2.6496\n",
+      " and the parameters are [-3.08529166  4.16343204] -5.4732469920703934 ;\n",
+      "Epoch 770/1000, Cost: 1.9096\n",
+      " and the parameters are [-3.08528353  4.16342181] -5.4732875571546 ;\n",
+      "Epoch 770/1000, Cost: 3.0037\n",
+      " and the parameters are [-3.08530621  4.16349557] -5.473233216070389 ;\n",
+      "Epoch 770/1000, Cost: 2.5392\n",
+      " and the parameters are [-3.0852087  4.1635257] -5.473287518643328 ;\n",
+      "Epoch 770/1000, Cost: 3.4440\n",
+      " and the parameters are [-3.08514526  4.16355995] -5.473311421442172 ;\n",
+      "Epoch 770/1000, Cost: 1.2725\n",
+      " and the parameters are [-3.08516119  4.1635947 ] -5.473297823143761 ;\n",
+      "Epoch 770/1000, Cost: 6.2145\n",
+      " and the parameters are [-3.0850896   4.16367983] -5.473274053562926 ;\n",
+      "Epoch 770/1000, Cost: 1.6784\n",
+      " and the parameters are [-3.0851035   4.16367219] -5.47330365449783 ;\n",
+      "Epoch 770/1000, Cost: 1.9493\n",
+      " and the parameters are [-3.08509781  4.16373498] -5.4732861163182065 ;\n",
+      "Epoch 770/1000, Cost: 3.4319\n",
+      " and the parameters are [-3.08510221  4.16371124] -5.473312912956383 ;\n",
+      "Epoch 770/1000, Cost: 2.3785\n",
+      " and the parameters are [-3.08508316  4.16383334] -5.473249448231961 ;\n",
+      "Epoch 770/1000, Cost: 9.1170\n",
+      " and the parameters are [-3.08508916  4.16376849] -5.473265597951902 ;\n",
+      "Epoch 770/1000, Cost: 2.3810\n",
+      " and the parameters are [-3.08505288  4.16387377] -5.473221572470793 ;\n",
+      "Epoch 770/1000, Cost: 4.3718\n",
+      " and the parameters are [-3.08511503  4.16370725] -5.473344268555235 ;\n",
+      "Epoch 770/1000, Cost: 1.0964\n",
+      " and the parameters are [-3.08509248  4.16377983] -5.473323274528601 ;\n",
+      "Epoch 770/1000, Cost: 3.0797\n",
+      " and the parameters are [-3.08507442  4.16375216] -5.473382433744197 ;\n",
+      "Epoch 770/1000, Cost: 2.0066\n",
+      " and the parameters are [-3.08513788  4.16368165] -5.4734238586901505 ;\n",
+      "Epoch 770/1000, Cost: 3.0873\n",
+      " and the parameters are [-3.08505679  4.16377545] -5.473419249584753 ;\n",
+      "Epoch 770/1000, Cost: 1.1701\n",
+      " and the parameters are [-3.08501619  4.1637876 ] -5.4734500076133665 ;\n",
+      "Epoch 770/1000, Cost: 4.7385\n",
+      " and the parameters are [-3.08506496  4.16375833] -5.473459905917061 ;\n",
+      "Epoch 770/1000, Cost: 3.9969\n",
+      " and the parameters are [-3.08522499  4.16367145] -5.473441121429011 ;\n",
+      "Epoch 770/1000, Cost: 5.1672\n",
+      " and the parameters are [-3.08537072  4.16346653] -5.473526151247747 ;\n",
+      "Epoch 770/1000, Cost: 2.0752\n",
+      " and the parameters are [-3.08537505  4.16353863] -5.473493412065161 ;\n",
+      "Epoch 770/1000, Cost: 5.2301\n",
+      " and the parameters are [-3.0854572   4.16354187] -5.473448492122882 ;\n",
+      "Epoch 770/1000, Cost: 4.2259\n",
+      " and the parameters are [-3.08553327  4.16342928] -5.473492462428381 ;\n",
+      "Epoch 770/1000, Cost: 1.7923\n",
+      " and the parameters are [-3.08552781  4.16344937] -5.473506032728331 ;\n",
+      "Epoch 770/1000, Cost: 1.7669\n",
+      " and the parameters are [-3.08553324  4.16346557] -5.473512102431653 ;\n",
+      "Epoch 770/1000, Cost: 2.8220\n",
+      " and the parameters are [-3.08557003  4.16359054] -5.473425417996335 ;\n",
+      "Epoch 770/1000, Cost: 1.3605\n",
+      " and the parameters are [-3.08556822  4.16367884] -5.473383614472894 ;\n",
+      "Epoch 770/1000, Cost: 2.7052\n",
+      " and the parameters are [-3.08561793  4.1635959 ] -5.473448361340029 ;\n",
+      "Epoch 770/1000, Cost: 3.3328\n",
+      " and the parameters are [-3.08564099  4.16352761] -5.473506967768684 ;\n",
+      "Epoch 770/1000, Cost: 3.4255\n",
+      " and the parameters are [-3.08573709  4.16353006] -5.473463228061346 ;\n",
+      "Epoch 770/1000, Cost: 2.4802\n",
+      " and the parameters are [-3.08568612  4.16353239] -5.473501935730884 ;\n",
+      "Epoch 770/1000, Cost: 2.2990\n",
+      " and the parameters are [-3.08566307  4.16354584] -5.473522654792298 ;\n",
+      "Epoch 770/1000, Cost: 1.5132\n",
+      " and the parameters are [-3.0856555   4.16360582] -5.473508951591655 ;\n",
+      "Epoch 770/1000, Cost: 3.0471\n",
+      " and the parameters are [-3.08560757  4.16362946] -5.47354576097278 ;\n",
+      "Epoch 770/1000, Cost: 1.9720\n",
+      " and the parameters are [-3.0856509   4.16364413] -5.473526831794718 ;\n",
+      "Epoch 770/1000, Cost: 2.4394\n",
+      " and the parameters are [-3.08565853  4.1635922 ] -5.473592370640732 ;\n",
+      "Epoch 770/1000, Cost: 3.3412\n",
+      " and the parameters are [-3.08565933  4.16353543] -5.473661294864386 ;\n",
+      "Epoch 770/1000, Cost: 1.4588\n",
+      " and the parameters are [-3.0856768   4.16356241] -5.473655745449486 ;\n",
+      "Epoch 770/1000, Cost: 0.8169\n",
+      " and the parameters are [-3.0856599   4.16360591] -5.473653893455003 ;\n",
+      "Epoch 770/1000, Cost: 5.4260\n",
+      " and the parameters are [-3.08562064  4.16352498] -5.473768166969608 ;\n",
+      "Epoch 770/1000, Cost: 4.4906\n",
+      " and the parameters are [-3.08559943  4.16356161] -5.47375733030948 ;\n",
+      "Epoch 770/1000, Cost: 3.6979\n",
+      " and the parameters are [-3.08559487  4.16365725] -5.473691518018884 ;\n",
+      "Epoch 770/1000, Cost: 1.9135\n",
+      " and the parameters are [-3.08558514  4.16371928] -5.473663850885488 ;\n",
+      "Epoch 770/1000, Cost: 1.5347\n",
+      " and the parameters are [-3.08558333  4.16368581] -5.473713200063379 ;\n",
+      "Epoch 770/1000, Cost: 2.1033\n",
+      " and the parameters are [-3.08557383  4.16374095] -5.473693073711558 ;\n",
+      "Epoch 770/1000, Cost: 3.0676\n",
+      " and the parameters are [-3.08556778  4.16376191] -5.473705601704453 ;\n",
+      "Epoch 770/1000, Cost: 7.0171\n",
+      " and the parameters are [-3.08557333  4.16361551] -5.47379141260262 ;\n",
+      "Epoch 770/1000, Cost: 2.2358\n",
+      " and the parameters are [-3.0855619  4.1636327] -5.473811144260853 ;\n",
+      "Epoch 770/1000, Cost: 5.3998\n",
+      " and the parameters are [-3.08554421  4.16371506] -5.473759645932136 ;\n",
+      "Epoch 770/1000, Cost: 7.7978\n",
+      " and the parameters are [-3.08541926  4.16388409] -5.473680173173916 ;\n",
+      "Epoch 770/1000, Cost: 2.3742\n",
+      " and the parameters are [-3.08546749  4.16388729] -5.47367255493685 ;\n",
+      "Epoch 770/1000, Cost: 1.3503\n",
+      " and the parameters are [-3.08546747  4.16389364] -5.473698257753924 ;\n",
+      "Epoch 770/1000, Cost: 5.6863\n",
+      " and the parameters are [-3.08544323  4.16397373] -5.473638773305274 ;\n",
+      "Epoch 770/1000, Cost: 4.4278\n",
+      " and the parameters are [-3.0855218   4.16391477] -5.473643721638422 ;\n",
+      "Epoch 770/1000, Cost: 7.2447\n",
+      " and the parameters are [-3.08560843  4.16374767] -5.473691692792162 ;\n",
+      "Epoch 770/1000, Cost: 6.3598\n",
+      " and the parameters are [-3.08551816  4.16377137] -5.47371687305898 ;\n",
+      "Epoch 770/1000, Cost: 0.6859\n",
+      " and the parameters are [-3.08553457  4.16379835] -5.473705811689969 ;\n",
+      "Epoch 770/1000, Cost: 2.5446\n",
+      " and the parameters are [-3.08554412  4.16388605] -5.4736548231904365 ;\n",
+      "Epoch 770/1000, Cost: 3.6659\n",
+      " and the parameters are [-3.08556341  4.16392208] -5.473634214423995 ;\n",
+      "Epoch 770/1000, Cost: 4.2644\n",
+      " and the parameters are [-3.08554406  4.16392506] -5.473632043965803 ;\n",
+      "Epoch 770/1000, Cost: 1.9127\n",
+      " and the parameters are [-3.08556412  4.16392197] -5.473643885953776 ;\n",
+      "Epoch 770/1000, Cost: 2.7475\n",
+      " and the parameters are [-3.08561386  4.16392459] -5.4736369603818 ;\n",
+      "Epoch 770/1000, Cost: 2.7295\n",
+      " and the parameters are [-3.08570774  4.16384645] -5.473668243601654 ;\n",
+      "Epoch 770/1000, Cost: 2.2074\n",
+      " and the parameters are [-3.08578112  4.16373367] -5.473721722686271 ;\n",
+      "Epoch 770/1000, Cost: 3.0037\n",
+      " and the parameters are [-3.08583965  4.16377401] -5.473676640561097 ;\n",
+      "Epoch 770/1000, Cost: 0.5863\n",
+      " and the parameters are [-3.0858354   4.16377581] -5.473693611106225 ;\n",
+      "Epoch 770/1000, Cost: 3.6846\n",
+      " and the parameters are [-3.08581629  4.16378754] -5.473715897423088 ;\n",
+      "Epoch 770/1000, Cost: 1.7662\n",
+      " and the parameters are [-3.08582119  4.16376973] -5.473751982698114 ;\n",
+      "Epoch 770/1000, Cost: 0.9541\n",
+      " and the parameters are [-3.08581433  4.16379372] -5.473761386495812 ;\n",
+      "Epoch 770/1000, Cost: 3.8603\n",
+      " and the parameters are [-3.0858164   4.16380303] -5.473779589329773 ;\n",
+      "Epoch 770/1000, Cost: 1.6240\n",
+      " and the parameters are [-3.08585804  4.16377587] -5.4738035128545395 ;\n",
+      "Epoch 770/1000, Cost: 1.9581\n",
+      " and the parameters are [-3.08587551  4.16373223] -5.473844161566058 ;\n",
+      "Epoch 770/1000, Cost: 1.5048\n",
+      " and the parameters are [-3.08586345  4.16379381] -5.4738281577209325 ;\n",
+      "Epoch 770/1000, Cost: 1.1784\n",
+      " and the parameters are [-3.08589224  4.16379056] -5.473835186760064 ;\n",
+      "Epoch 770/1000, Cost: 3.4747\n",
+      " and the parameters are [-3.08590963  4.16379318] -5.473844771957318 ;\n",
+      "Epoch 770/1000, Cost: 0.5247\n",
+      " and the parameters are [-3.08592176  4.16381385] -5.473839097660429 ;\n",
+      "Epoch 770/1000, Cost: 3.2647\n",
+      " and the parameters are [-3.08593615  4.16387969] -5.473803719603123 ;\n",
+      "Epoch 770/1000, Cost: 1.3801\n",
+      " and the parameters are [-3.08591313  4.16388393] -5.473840187961383 ;\n",
+      "Epoch 770/1000, Cost: 4.4984\n",
+      " and the parameters are [-3.08588682  4.1640462 ] -5.473742264562129 ;\n",
+      "Epoch 770/1000, Cost: 2.7800\n",
+      " and the parameters are [-3.08588627  4.16406873] -5.473743634611907 ;\n",
+      "Epoch 770/1000, Cost: 7.7266\n",
+      " and the parameters are [-3.08587794  4.1641443 ] -5.473678911421083 ;\n",
+      "Epoch 770/1000, Cost: 1.8259\n",
+      " and the parameters are [-3.08587583  4.16420177] -5.473659575102942 ;\n",
+      "Epoch 770/1000, Cost: 3.8920\n",
+      " and the parameters are [-3.08587543  4.16414584] -5.473720056344316 ;\n",
+      "Epoch 770/1000, Cost: 6.0164\n",
+      " and the parameters are [-3.08583428  4.16407585] -5.4737897573135506 ;\n",
+      "Epoch 770/1000, Cost: 5.4306\n",
+      " and the parameters are [-3.08593307  4.16400385] -5.473766140808285 ;\n",
+      "Epoch 770/1000, Cost: 3.3034\n",
+      " and the parameters are [-3.08584851  4.16410533] -5.473750793587338 ;\n",
+      "Epoch 770/1000, Cost: 2.9821\n",
+      " and the parameters are [-3.08591425  4.16405022] -5.473775147310814 ;\n",
+      "Epoch 770/1000, Cost: 1.5648\n",
+      " and the parameters are [-3.08591184  4.16406147] -5.473793140026519 ;\n",
+      "Epoch 770/1000, Cost: 1.7247\n",
+      " and the parameters are [-3.08589701  4.16402706] -5.473855645066343 ;\n",
+      "Epoch 770/1000, Cost: 1.6359\n",
+      " and the parameters are [-3.08589907  4.1640584 ] -5.473849783018984 ;\n",
+      "Epoch 770/1000, Cost: 2.3886\n",
+      " and the parameters are [-3.08588142  4.16410024] -5.473857637648701 ;\n",
+      "Epoch 770/1000, Cost: 1.8030\n",
+      " and the parameters are [-3.08586138  4.1641246 ] -5.47387772369732 ;\n",
+      "Epoch 770/1000, Cost: 4.3433\n",
+      " and the parameters are [-3.08579038  4.16425627] -5.473840996079453 ;\n",
+      "Epoch 770/1000, Cost: 3.2789\n",
+      " and the parameters are [-3.08581103  4.16430706] -5.473805490775784 ;\n",
+      "Epoch 770/1000, Cost: 1.6276\n",
+      " and the parameters are [-3.08581777  4.16434515] -5.473801127162865 ;\n",
+      "Epoch 770/1000, Cost: 2.5726\n",
+      " and the parameters are [-3.08582509  4.16429926] -5.473846972845201 ;\n",
+      "Epoch 770/1000, Cost: 2.6395\n",
+      " and the parameters are [-3.08586636  4.16426539] -5.473863622242613 ;\n",
+      "Epoch 780/1000, Cost: 3.4362\n",
+      " and the parameters are [-3.09512463  4.17614919] -5.49040764068876 ;\n",
+      "Epoch 780/1000, Cost: 3.4899\n",
+      " and the parameters are [-3.09513299  4.17609634] -5.490460378198161 ;\n",
+      "Epoch 780/1000, Cost: 1.7576\n",
+      " and the parameters are [-3.09519204  4.17601456] -5.490512816094093 ;\n",
+      "Epoch 780/1000, Cost: 2.3651\n",
+      " and the parameters are [-3.09520447  4.17600621] -5.490539732913714 ;\n",
+      "Epoch 780/1000, Cost: 1.9920\n",
+      " and the parameters are [-3.09522066  4.17606726] -5.490513073218571 ;\n",
+      "Epoch 780/1000, Cost: 1.2589\n",
+      " and the parameters are [-3.09518948  4.17609322] -5.490532909142777 ;\n",
+      "Epoch 780/1000, Cost: 5.3851\n",
+      " and the parameters are [-3.0952365   4.17609625] -5.490524403988231 ;\n",
+      "Epoch 780/1000, Cost: 7.4953\n",
+      " and the parameters are [-3.09524199  4.17609852] -5.490497736646921 ;\n",
+      "Epoch 780/1000, Cost: 2.6408\n",
+      " and the parameters are [-3.09517838  4.17613339] -5.490521810116539 ;\n",
+      "Epoch 780/1000, Cost: 3.2602\n",
+      " and the parameters are [-3.09517799  4.17621779] -5.490468642482817 ;\n",
+      "Epoch 780/1000, Cost: 2.4620\n",
+      " and the parameters are [-3.09522794  4.1762788 ] -5.4904275071010415 ;\n",
+      "Epoch 780/1000, Cost: 2.9965\n",
+      " and the parameters are [-3.09521635  4.17620842] -5.490501087916452 ;\n",
+      "Epoch 780/1000, Cost: 1.1221\n",
+      " and the parameters are [-3.0952194  4.1762684] -5.490474691645595 ;\n",
+      "Epoch 780/1000, Cost: 2.3546\n",
+      " and the parameters are [-3.0952236   4.17634147] -5.490425571993959 ;\n",
+      "Epoch 780/1000, Cost: 1.0103\n",
+      " and the parameters are [-3.09521563  4.17636327] -5.490438350473022 ;\n",
+      "Epoch 780/1000, Cost: 5.5114\n",
+      " and the parameters are [-3.09518852  4.17650415] -5.49036356838063 ;\n",
+      "Epoch 780/1000, Cost: 2.7766\n",
+      " and the parameters are [-3.09523363  4.17653725] -5.490337305474548 ;\n",
+      "Epoch 780/1000, Cost: 5.6733\n",
+      " and the parameters are [-3.09513033  4.17654545] -5.490388392598794 ;\n",
+      "Epoch 780/1000, Cost: 1.2039\n",
+      " and the parameters are [-3.0951632   4.17657935] -5.490368307312428 ;\n",
+      "Epoch 780/1000, Cost: 4.2760\n",
+      " and the parameters are [-3.09519253  4.17661119] -5.4903596197620175 ;\n",
+      "Epoch 780/1000, Cost: 2.7978\n",
+      " and the parameters are [-3.09515243  4.17660403] -5.490402221565878 ;\n",
+      "Epoch 780/1000, Cost: 7.9115\n",
+      " and the parameters are [-3.09524513  4.17653409] -5.490388181944531 ;\n",
+      "Epoch 780/1000, Cost: 5.4357\n",
+      " and the parameters are [-3.09519876  4.17658956] -5.490363663575662 ;\n",
+      "Epoch 780/1000, Cost: 2.8654\n",
+      " and the parameters are [-3.09515223  4.17657174] -5.490412413223349 ;\n",
+      "Epoch 780/1000, Cost: 3.8443\n",
+      " and the parameters are [-3.09513425  4.17653359] -5.4904632094474755 ;\n",
+      "Epoch 780/1000, Cost: 5.4778\n",
+      " and the parameters are [-3.09506127  4.17660588] -5.490450947635612 ;\n",
+      "Epoch 780/1000, Cost: 1.8605\n",
+      " and the parameters are [-3.09502808  4.17671198] -5.490417711690815 ;\n",
+      "Epoch 780/1000, Cost: 1.0025\n",
+      " and the parameters are [-3.09504527  4.17671147] -5.490431801688204 ;\n",
+      "Epoch 780/1000, Cost: 3.8067\n",
+      " and the parameters are [-3.09511257  4.1765511 ] -5.490508208646712 ;\n",
+      "Epoch 780/1000, Cost: 2.2040\n",
+      " and the parameters are [-3.09510037  4.17656427] -5.490535049210956 ;\n",
+      "Epoch 780/1000, Cost: 4.2652\n",
+      " and the parameters are [-3.09511341  4.1764627 ] -5.490616462860189 ;\n",
+      "Epoch 780/1000, Cost: 1.5544\n",
+      " and the parameters are [-3.09513067  4.17650444] -5.490603124670455 ;\n",
+      "Epoch 780/1000, Cost: 3.5369\n",
+      " and the parameters are [-3.09513457  4.1764586 ] -5.4906598247107015 ;\n",
+      "Epoch 780/1000, Cost: 5.9479\n",
+      " and the parameters are [-3.09505605  4.17651124] -5.490679071852058 ;\n",
+      "Epoch 780/1000, Cost: 2.3837\n",
+      " and the parameters are [-3.0949839  4.1765796] -5.490698442817162 ;\n",
+      "Epoch 780/1000, Cost: 1.0876\n",
+      " and the parameters are [-3.09502261  4.17651482] -5.49073924915123 ;\n",
+      "Epoch 780/1000, Cost: 1.6973\n",
+      " and the parameters are [-3.09501605  4.17655957] -5.4907261609996985 ;\n",
+      "Epoch 780/1000, Cost: 7.6777\n",
+      " and the parameters are [-3.09503409  4.17650055] -5.490750978936981 ;\n",
+      "Epoch 780/1000, Cost: 1.2458\n",
+      " and the parameters are [-3.09503565  4.17655536] -5.490733085173279 ;\n",
+      "Epoch 780/1000, Cost: 1.9859\n",
+      " and the parameters are [-3.09504829  4.17661188] -5.49071484341377 ;\n",
+      "Epoch 780/1000, Cost: 2.8417\n",
+      " and the parameters are [-3.09503819  4.17663117] -5.490741327524126 ;\n",
+      "Epoch 780/1000, Cost: 0.9684\n",
+      " and the parameters are [-3.09505848  4.17662274] -5.490758642677828 ;\n",
+      "Epoch 780/1000, Cost: 2.7857\n",
+      " and the parameters are [-3.09503325  4.17666727] -5.4907593665803045 ;\n",
+      "Epoch 780/1000, Cost: 3.5946\n",
+      " and the parameters are [-3.0951212  4.1766497] -5.490737162719268 ;\n",
+      "Epoch 780/1000, Cost: 3.0044\n",
+      " and the parameters are [-3.09514768  4.17667976] -5.490717896311242 ;\n",
+      "Epoch 780/1000, Cost: 3.4375\n",
+      " and the parameters are [-3.09511561  4.17672635] -5.490724070031686 ;\n",
+      "Epoch 780/1000, Cost: 1.6254\n",
+      " and the parameters are [-3.0950888   4.17676474] -5.4907354897944085 ;\n",
+      "Epoch 780/1000, Cost: 5.4102\n",
+      " and the parameters are [-3.09505076  4.17661829] -5.490865232427439 ;\n",
+      "Epoch 780/1000, Cost: 2.0042\n",
+      " and the parameters are [-3.09508391  4.1766401 ] -5.490859860120556 ;\n",
+      "Epoch 780/1000, Cost: 2.9302\n",
+      " and the parameters are [-3.09510308  4.17669065] -5.490830347218015 ;\n",
+      "Epoch 780/1000, Cost: 1.4444\n",
+      " and the parameters are [-3.09512177  4.17672247] -5.490820191872136 ;\n",
+      "Epoch 780/1000, Cost: 3.3614\n",
+      " and the parameters are [-3.09510182  4.17681508] -5.4907716042906785 ;\n",
+      "Epoch 780/1000, Cost: 6.6056\n",
+      " and the parameters are [-3.09516186  4.17660184] -5.490878898089189 ;\n",
+      "Epoch 780/1000, Cost: 2.0223\n",
+      " and the parameters are [-3.09523884  4.17657011] -5.4908944861626585 ;\n",
+      "Epoch 780/1000, Cost: 1.9892\n",
+      " and the parameters are [-3.09517677  4.17664462] -5.49090130502882 ;\n",
+      "Epoch 780/1000, Cost: 4.2181\n",
+      " and the parameters are [-3.09518007  4.1767612 ] -5.490836353753677 ;\n",
+      "Epoch 780/1000, Cost: 2.5712\n",
+      " and the parameters are [-3.09516352  4.17682969] -5.490827927639324 ;\n",
+      "Epoch 780/1000, Cost: 5.3445\n",
+      " and the parameters are [-3.09513736  4.17674768] -5.4908932855535 ;\n",
+      "Epoch 780/1000, Cost: 8.4175\n",
+      " and the parameters are [-3.09516268  4.17656817] -5.490999564417979 ;\n",
+      "Epoch 780/1000, Cost: 5.0529\n",
+      " and the parameters are [-3.09514048  4.17645903] -5.4911101058826555 ;\n",
+      "Epoch 780/1000, Cost: 3.2792\n",
+      " and the parameters are [-3.09517884  4.17654273] -5.491025970597456 ;\n",
+      "Epoch 780/1000, Cost: 3.9277\n",
+      " and the parameters are [-3.09523566  4.17651316] -5.491022311303096 ;\n",
+      "Epoch 780/1000, Cost: 2.8240\n",
+      " and the parameters are [-3.09524232  4.17647321] -5.491064438097107 ;\n",
+      "Epoch 780/1000, Cost: 0.8866\n",
+      " and the parameters are [-3.09526059  4.17646878] -5.491077857875013 ;\n",
+      "Epoch 780/1000, Cost: 2.9461\n",
+      " and the parameters are [-3.09533664  4.17639668] -5.491114517951964 ;\n",
+      "Epoch 780/1000, Cost: 5.6232\n",
+      " and the parameters are [-3.09532468  4.17651285] -5.491027521833897 ;\n",
+      "Epoch 780/1000, Cost: 2.1150\n",
+      " and the parameters are [-3.09530112  4.17650804] -5.491063714091129 ;\n",
+      "Epoch 780/1000, Cost: 2.7756\n",
+      " and the parameters are [-3.0953647   4.17645526] -5.491086931188096 ;\n",
+      "Epoch 780/1000, Cost: 1.0920\n",
+      " and the parameters are [-3.09534754  4.17648483] -5.491099783113801 ;\n",
+      "Epoch 780/1000, Cost: 3.3925\n",
+      " and the parameters are [-3.09531234  4.17656198] -5.491077292074193 ;\n",
+      "Epoch 780/1000, Cost: 2.0746\n",
+      " and the parameters are [-3.09535606  4.17653046] -5.4911080198300235 ;\n",
+      "Epoch 780/1000, Cost: 1.5468\n",
+      " and the parameters are [-3.09537219  4.17658436] -5.491091782235592 ;\n",
+      "Epoch 780/1000, Cost: 4.0707\n",
+      " and the parameters are [-3.09540043  4.17657459] -5.491096794602775 ;\n",
+      "Epoch 780/1000, Cost: 1.9449\n",
+      " and the parameters are [-3.09543106  4.17651815] -5.4911406155828475 ;\n",
+      "Epoch 780/1000, Cost: 1.0595\n",
+      " and the parameters are [-3.09541689  4.17656943] -5.491133226677483 ;\n",
+      "Epoch 780/1000, Cost: 4.0647\n",
+      " and the parameters are [-3.09533959  4.17654416] -5.4912089975721585 ;\n",
+      "Epoch 780/1000, Cost: 3.7621\n",
+      " and the parameters are [-3.09529879  4.17652194] -5.491248214104395 ;\n",
+      "Epoch 780/1000, Cost: 1.7832\n",
+      " and the parameters are [-3.09532663  4.17650916] -5.4912634584799696 ;\n",
+      "Epoch 780/1000, Cost: 1.4288\n",
+      " and the parameters are [-3.09536854  4.17653285] -5.491246493687252 ;\n",
+      "Epoch 780/1000, Cost: 4.6631\n",
+      " and the parameters are [-3.0952811   4.17663376] -5.491203345074058 ;\n",
+      "Epoch 780/1000, Cost: 3.9674\n",
+      " and the parameters are [-3.09531042  4.17663124] -5.491201843073136 ;\n",
+      "Epoch 780/1000, Cost: 3.3774\n",
+      " and the parameters are [-3.09535042  4.17664371] -5.491187001329625 ;\n",
+      "Epoch 780/1000, Cost: 1.0025\n",
+      " and the parameters are [-3.09536422  4.17666788] -5.491184051230339 ;\n",
+      "Epoch 780/1000, Cost: 1.7652\n",
+      " and the parameters are [-3.0954483   4.17659032] -5.491223193521974 ;\n",
+      "Epoch 780/1000, Cost: 3.5496\n",
+      " and the parameters are [-3.09547462  4.17660567] -5.491222201693335 ;\n",
+      "Epoch 780/1000, Cost: 2.0306\n",
+      " and the parameters are [-3.09546473  4.17667449] -5.491201873479853 ;\n",
+      "Epoch 780/1000, Cost: 3.9543\n",
+      " and the parameters are [-3.0955015   4.17670442] -5.491173055866086 ;\n",
+      "Epoch 780/1000, Cost: 2.8385\n",
+      " and the parameters are [-3.09544698  4.17683318] -5.491125163045862 ;\n",
+      "Epoch 780/1000, Cost: 4.8911\n",
+      " and the parameters are [-3.09554032  4.17676459] -5.491144447491535 ;\n",
+      "Epoch 780/1000, Cost: 3.6137\n",
+      " and the parameters are [-3.09554012  4.17681212] -5.491125377594657 ;\n",
+      "Epoch 780/1000, Cost: 1.9454\n",
+      " and the parameters are [-3.09555503  4.17679044] -5.491151014361745 ;\n",
+      "Epoch 780/1000, Cost: 4.9800\n",
+      " and the parameters are [-3.0957157   4.17660526] -5.491201508503744 ;\n",
+      "Epoch 780/1000, Cost: 3.5775\n",
+      " and the parameters are [-3.09573824  4.1765024 ] -5.491288324071587 ;\n",
+      "Epoch 780/1000, Cost: 3.6722\n",
+      " and the parameters are [-3.09575199  4.17660188] -5.491231141867582 ;\n",
+      "Epoch 780/1000, Cost: 1.4138\n",
+      " and the parameters are [-3.09576596  4.1766096 ] -5.4912415707016065 ;\n",
+      "Epoch 780/1000, Cost: 1.4512\n",
+      " and the parameters are [-3.09578222  4.1766    ] -5.491261950589606 ;\n",
+      "Epoch 780/1000, Cost: 1.5201\n",
+      " and the parameters are [-3.09580023  4.17661741] -5.491260101662249 ;\n",
+      "Epoch 780/1000, Cost: 1.9376\n",
+      " and the parameters are [-3.09580052  4.17665709] -5.491257374076506 ;\n",
+      "Epoch 780/1000, Cost: 1.3647\n",
+      " and the parameters are [-3.09576878  4.17670105] -5.491261387768433 ;\n",
+      "Epoch 780/1000, Cost: 1.4671\n",
+      " and the parameters are [-3.09577708  4.17669446] -5.491282575833893 ;\n",
+      "Epoch 780/1000, Cost: 3.5208\n",
+      " and the parameters are [-3.09587144  4.17655016] -5.491334988221754 ;\n",
+      "Epoch 780/1000, Cost: 2.5637\n",
+      " and the parameters are [-3.09587228  4.17646566] -5.491416923226355 ;\n",
+      "Epoch 780/1000, Cost: 1.7387\n",
+      " and the parameters are [-3.09591841  4.1764207 ] -5.491449170754649 ;\n",
+      "Epoch 780/1000, Cost: 1.6334\n",
+      " and the parameters are [-3.09587646  4.17643622] -5.4914856436669055 ;\n",
+      "Epoch 780/1000, Cost: 1.9064\n",
+      " and the parameters are [-3.0959214   4.17645654] -5.491466632687141 ;\n",
+      "Epoch 780/1000, Cost: 3.6688\n",
+      " and the parameters are [-3.09588695  4.17643284] -5.491511202578019 ;\n",
+      "Epoch 780/1000, Cost: 1.5793\n",
+      " and the parameters are [-3.09592753  4.17637423] -5.491555045842451 ;\n",
+      "Epoch 780/1000, Cost: 4.3053\n",
+      " and the parameters are [-3.09592325  4.1763567 ] -5.4915811781079915 ;\n",
+      "Epoch 780/1000, Cost: 1.6805\n",
+      " and the parameters are [-3.09592613  4.17638628] -5.491581331559672 ;\n",
+      "Epoch 780/1000, Cost: 2.3755\n",
+      " and the parameters are [-3.09594403  4.17641485] -5.491572654268112 ;\n",
+      "Epoch 780/1000, Cost: 1.4921\n",
+      " and the parameters are [-3.09592908  4.17644426] -5.491583611257212 ;\n",
+      "Epoch 780/1000, Cost: 2.7614\n",
+      " and the parameters are [-3.09591712  4.17643782] -5.491628008576571 ;\n",
+      "Epoch 780/1000, Cost: 2.7097\n",
+      " and the parameters are [-3.09587238  4.17660053] -5.491555954359683 ;\n",
+      "Epoch 780/1000, Cost: 1.2880\n",
+      " and the parameters are [-3.09588063  4.17662618] -5.491557492782546 ;\n",
+      "Epoch 780/1000, Cost: 4.1029\n",
+      " and the parameters are [-3.09588294  4.17653927] -5.491629789226792 ;\n",
+      "Epoch 780/1000, Cost: 1.1612\n",
+      " and the parameters are [-3.09587302  4.17660608] -5.491608827512477 ;\n",
+      "Epoch 780/1000, Cost: 0.9989\n",
+      " and the parameters are [-3.09585761  4.17669164] -5.491572454153207 ;\n",
+      "Epoch 780/1000, Cost: 1.3023\n",
+      " and the parameters are [-3.09584988  4.17671799] -5.491579749004165 ;\n",
+      "Epoch 780/1000, Cost: 4.6482\n",
+      " and the parameters are [-3.09596685  4.17651493] -5.491668843480155 ;\n",
+      "Epoch 780/1000, Cost: 3.4308\n",
+      " and the parameters are [-3.09589209  4.17647691] -5.491767770631362 ;\n",
+      "Epoch 780/1000, Cost: 0.9930\n",
+      " and the parameters are [-3.09592558  4.17645288] -5.491782726242241 ;\n",
+      "Epoch 780/1000, Cost: 2.0928\n",
+      " and the parameters are [-3.09586483  4.17652551] -5.491789451221684 ;\n",
+      "Epoch 780/1000, Cost: 1.5501\n",
+      " and the parameters are [-3.09586447  4.17652023] -5.491819809513323 ;\n",
+      "Epoch 780/1000, Cost: 3.1729\n",
+      " and the parameters are [-3.0959132   4.17660924] -5.491763713998238 ;\n",
+      "Epoch 780/1000, Cost: 2.0373\n",
+      " and the parameters are [-3.09595545  4.17655454] -5.4918030586685616 ;\n",
+      "Epoch 780/1000, Cost: 2.9651\n",
+      " and the parameters are [-3.09595301  4.17655789] -5.491834972813401 ;\n",
+      "Epoch 780/1000, Cost: 4.0506\n",
+      " and the parameters are [-3.09591777  4.17652509] -5.49188947947156 ;\n",
+      "Epoch 780/1000, Cost: 1.7630\n",
+      " and the parameters are [-3.09585348  4.17658157] -5.491897126278979 ;\n",
+      "Epoch 780/1000, Cost: 2.1843\n",
+      " and the parameters are [-3.09587761  4.17666194] -5.491844502500766 ;\n",
+      "Epoch 780/1000, Cost: 1.4349\n",
+      " and the parameters are [-3.09586945  4.17668163] -5.491862209859278 ;\n",
+      "Epoch 780/1000, Cost: 2.5622\n",
+      " and the parameters are [-3.09583488  4.17668508] -5.491895827560059 ;\n",
+      "Epoch 780/1000, Cost: 3.0347\n",
+      " and the parameters are [-3.09581595  4.17674395] -5.4918904706735345 ;\n",
+      "Epoch 780/1000, Cost: 3.5386\n",
+      " and the parameters are [-3.09589352  4.17659498] -5.49197573911213 ;\n",
+      "Epoch 780/1000, Cost: 4.2186\n",
+      " and the parameters are [-3.09599466  4.17649346] -5.491999045147209 ;\n",
+      "Epoch 780/1000, Cost: 1.5893\n",
+      " and the parameters are [-3.09603854  4.17644305] -5.492034756287041 ;\n",
+      "Epoch 780/1000, Cost: 4.1746\n",
+      " and the parameters are [-3.09606741  4.17653538] -5.491977729109793 ;\n",
+      "Epoch 780/1000, Cost: 4.3483\n",
+      " and the parameters are [-3.09611296  4.17648664] -5.49201784822408 ;\n",
+      "Epoch 780/1000, Cost: 3.1521\n",
+      " and the parameters are [-3.09609951  4.17660219] -5.491961704765468 ;\n",
+      "Epoch 780/1000, Cost: 3.8745\n",
+      " and the parameters are [-3.09608232  4.17656994] -5.492007257790918 ;\n",
+      "Epoch 780/1000, Cost: 7.3340\n",
+      " and the parameters are [-3.09603736  4.17664903] -5.491942314810852 ;\n",
+      "Epoch 780/1000, Cost: 3.7812\n",
+      " and the parameters are [-3.09607715  4.1765478 ] -5.4920169000381795 ;\n",
+      "Epoch 780/1000, Cost: 1.4888\n",
+      " and the parameters are [-3.09607252  4.17656448] -5.492035710760744 ;\n",
+      "Epoch 780/1000, Cost: 4.9571\n",
+      " and the parameters are [-3.09604639  4.17657205] -5.4920570465757494 ;\n",
+      "Epoch 780/1000, Cost: 5.9757\n",
+      " and the parameters are [-3.09590009  4.17668471] -5.4920378329940265 ;\n",
+      "Epoch 780/1000, Cost: 2.1282\n",
+      " and the parameters are [-3.0959118   4.17672898] -5.492018240763371 ;\n",
+      "Epoch 780/1000, Cost: 2.7223\n",
+      " and the parameters are [-3.0959584   4.17673677] -5.492009613359072 ;\n",
+      "Epoch 780/1000, Cost: 1.1190\n",
+      " and the parameters are [-3.09595612  4.17678605] -5.491992419772368 ;\n",
+      "Epoch 780/1000, Cost: 4.4577\n",
+      " and the parameters are [-3.09587155  4.17681432] -5.492019856332566 ;\n",
+      "Epoch 780/1000, Cost: 2.2196\n",
+      " and the parameters are [-3.09594715  4.17668358] -5.492100133755542 ;\n",
+      "Epoch 780/1000, Cost: 2.5511\n",
+      " and the parameters are [-3.09596458  4.17667903] -5.49213147277315 ;\n",
+      "Epoch 780/1000, Cost: 3.8407\n",
+      " and the parameters are [-3.09598905  4.17658176] -5.492216416085351 ;\n",
+      "Epoch 780/1000, Cost: 2.6883\n",
+      " and the parameters are [-3.09595582  4.17665232] -5.4922146410537165 ;\n",
+      "Epoch 780/1000, Cost: 2.5414\n",
+      " and the parameters are [-3.09595312  4.17668785] -5.492217112502083 ;\n",
+      "Epoch 780/1000, Cost: 1.8256\n",
+      " and the parameters are [-3.09597756  4.17667847] -5.4922306329147785 ;\n",
+      "Epoch 780/1000, Cost: 1.0905\n",
+      " and the parameters are [-3.0960151   4.17666952] -5.492239778297111 ;\n",
+      "Epoch 780/1000, Cost: 3.2539\n",
+      " and the parameters are [-3.09599476  4.17680575] -5.492162304608082 ;\n",
+      "Epoch 780/1000, Cost: 2.3854\n",
+      " and the parameters are [-3.09601345  4.17679486] -5.492184483437482 ;\n",
+      "Epoch 780/1000, Cost: 2.8119\n",
+      " and the parameters are [-3.09601518  4.17683534] -5.492187442248734 ;\n",
+      "Epoch 780/1000, Cost: 3.0388\n",
+      " and the parameters are [-3.09597698  4.17692811] -5.492161214005904 ;\n",
+      "Epoch 780/1000, Cost: 0.8652\n",
+      " and the parameters are [-3.09599813  4.17695835] -5.492145830146277 ;\n",
+      "Epoch 780/1000, Cost: 3.3031\n",
+      " and the parameters are [-3.0959636   4.17702842] -5.4921381656248665 ;\n",
+      "Epoch 780/1000, Cost: 3.9271\n",
+      " and the parameters are [-3.09602425  4.17695389] -5.49216071084669 ;\n",
+      "Epoch 780/1000, Cost: 2.2206\n",
+      " and the parameters are [-3.09600591  4.17698563] -5.49217143919963 ;\n",
+      "Epoch 780/1000, Cost: 7.4446\n",
+      " and the parameters are [-3.09614553  4.17672799] -5.492294707218151 ;\n",
+      "Epoch 780/1000, Cost: 1.5368\n",
+      " and the parameters are [-3.09610811  4.17671045] -5.492343711202073 ;\n",
+      "Epoch 780/1000, Cost: 2.7486\n",
+      " and the parameters are [-3.09612632  4.17663149] -5.4924184022736515 ;\n",
+      "Epoch 780/1000, Cost: 5.3571\n",
+      " and the parameters are [-3.0961309  4.1766746] -5.492380202210121 ;\n",
+      "Epoch 780/1000, Cost: 2.6893\n",
+      " and the parameters are [-3.0961592   4.17665542] -5.492408039318643 ;\n",
+      "Epoch 780/1000, Cost: 1.3840\n",
+      " and the parameters are [-3.09616041  4.17672775] -5.492375493745013 ;\n",
+      "Epoch 780/1000, Cost: 3.3026\n",
+      " and the parameters are [-3.09619983  4.17674546] -5.492343709797861 ;\n",
+      "Epoch 780/1000, Cost: 2.1086\n",
+      " and the parameters are [-3.09619407  4.17682079] -5.492311806562081 ;\n",
+      "Epoch 780/1000, Cost: 2.9970\n",
+      " and the parameters are [-3.09616157  4.17681218] -5.492346202795271 ;\n",
+      "Epoch 780/1000, Cost: 1.6546\n",
+      " and the parameters are [-3.09621286  4.17679108] -5.49234841839592 ;\n",
+      "Epoch 780/1000, Cost: 5.1608\n",
+      " and the parameters are [-3.09613375  4.17697254] -5.492256042902863 ;\n",
+      "Epoch 780/1000, Cost: 2.3403\n",
+      " and the parameters are [-3.09611088  4.17698647] -5.492282813263749 ;\n",
+      "Epoch 780/1000, Cost: 3.6373\n",
+      " and the parameters are [-3.09613923  4.17706914] -5.492214524429407 ;\n",
+      "Epoch 780/1000, Cost: 1.8190\n",
+      " and the parameters are [-3.09612341  4.17710393] -5.492221949318104 ;\n",
+      "Epoch 780/1000, Cost: 4.9910\n",
+      " and the parameters are [-3.0961337   4.17710987] -5.492216742142986 ;\n",
+      "Epoch 780/1000, Cost: 2.1351\n",
+      " and the parameters are [-3.09613227  4.17715785] -5.4922025811704165 ;\n",
+      "Epoch 780/1000, Cost: 2.8786\n",
+      " and the parameters are [-3.09612566  4.17724555] -5.49216767710566 ;\n",
+      "Epoch 780/1000, Cost: 6.9010\n",
+      " and the parameters are [-3.09607772  4.17726289] -5.492151761210455 ;\n",
+      "Epoch 780/1000, Cost: 2.3902\n",
+      " and the parameters are [-3.09604965  4.1772658 ] -5.492194852547688 ;\n",
+      "Epoch 780/1000, Cost: 8.5718\n",
+      " and the parameters are [-3.09597982  4.17732057] -5.49216155573454 ;\n",
+      "Epoch 780/1000, Cost: 2.6070\n",
+      " and the parameters are [-3.09595437  4.17734496] -5.492181932614075 ;\n",
+      "Epoch 780/1000, Cost: 2.3395\n",
+      " and the parameters are [-3.09596585  4.17739842] -5.492156866362638 ;\n",
+      "Epoch 780/1000, Cost: 1.3952\n",
+      " and the parameters are [-3.09598646  4.17736714] -5.492183111604235 ;\n",
+      "Epoch 780/1000, Cost: 2.9545\n",
+      " and the parameters are [-3.09597025  4.17749608] -5.492107837378058 ;\n",
+      "Epoch 780/1000, Cost: 3.6262\n",
+      " and the parameters are [-3.09599536  4.17749193] -5.492104376569894 ;\n",
+      "Epoch 780/1000, Cost: 3.6932\n",
+      " and the parameters are [-3.09602349  4.1774427 ] -5.492147181658384 ;\n",
+      "Epoch 780/1000, Cost: 5.5650\n",
+      " and the parameters are [-3.09604671  4.17733496] -5.492211184226831 ;\n",
+      "Epoch 780/1000, Cost: 1.0259\n",
+      " and the parameters are [-3.09602675  4.17735688] -5.492224743322967 ;\n",
+      "Epoch 780/1000, Cost: 2.8885\n",
+      " and the parameters are [-3.09609502  4.17728977] -5.492259022269797 ;\n",
+      "Epoch 780/1000, Cost: 2.5017\n",
+      " and the parameters are [-3.09610219  4.1772918 ] -5.492270908471218 ;\n",
+      "Epoch 780/1000, Cost: 4.9124\n",
+      " and the parameters are [-3.096175    4.17712829] -5.492379048991917 ;\n",
+      "Epoch 780/1000, Cost: 4.9255\n",
+      " and the parameters are [-3.09614059  4.1772587 ] -5.492293730057785 ;\n",
+      "Epoch 780/1000, Cost: 3.6774\n",
+      " and the parameters are [-3.09605283  4.17743579] -5.4922273805472885 ;\n",
+      "Epoch 780/1000, Cost: 7.0043\n",
+      " and the parameters are [-3.09610454  4.17732847] -5.492287881312115 ;\n",
+      "Epoch 780/1000, Cost: 2.9642\n",
+      " and the parameters are [-3.09605218  4.1773636 ] -5.492295094649294 ;\n",
+      "Epoch 780/1000, Cost: 4.2101\n",
+      " and the parameters are [-3.0962182   4.17728567] -5.492275903714418 ;\n",
+      "Epoch 780/1000, Cost: 1.1591\n",
+      " and the parameters are [-3.09621335  4.1772945 ] -5.492296744452642 ;\n",
+      "Epoch 790/1000, Cost: 3.8660\n",
+      " and the parameters are [-3.10543687  4.18869952] -5.508825973475143 ;\n",
+      "Epoch 790/1000, Cost: 2.8226\n",
+      " and the parameters are [-3.10544733  4.18874309] -5.508795317216912 ;\n",
+      "Epoch 790/1000, Cost: 1.8886\n",
+      " and the parameters are [-3.10545983  4.18869221] -5.508848861748816 ;\n",
+      "Epoch 790/1000, Cost: 4.7333\n",
+      " and the parameters are [-3.10537095  4.18874148] -5.508859377755919 ;\n",
+      "Epoch 790/1000, Cost: 3.8437\n",
+      " and the parameters are [-3.10542745  4.18885371] -5.5087708750390885 ;\n",
+      "Epoch 790/1000, Cost: 1.2603\n",
+      " and the parameters are [-3.10542076  4.18890287] -5.508763152542255 ;\n",
+      "Epoch 790/1000, Cost: 5.3762\n",
+      " and the parameters are [-3.10542828  4.18894583] -5.508714578272991 ;\n",
+      "Epoch 790/1000, Cost: 5.6620\n",
+      " and the parameters are [-3.10533135  4.18886634] -5.50884311997235 ;\n",
+      "Epoch 790/1000, Cost: 2.8914\n",
+      " and the parameters are [-3.10539946  4.18889478] -5.508825846635894 ;\n",
+      "Epoch 790/1000, Cost: 0.6227\n",
+      " and the parameters are [-3.10540113  4.18893217] -5.5088144314526035 ;\n",
+      "Epoch 790/1000, Cost: 3.1315\n",
+      " and the parameters are [-3.10546986  4.18893632] -5.508798054401954 ;\n",
+      "Epoch 790/1000, Cost: 1.2462\n",
+      " and the parameters are [-3.10548421  4.18898071] -5.508777272657975 ;\n",
+      "Epoch 790/1000, Cost: 2.1285\n",
+      " and the parameters are [-3.10552724  4.18906603] -5.508709429904182 ;\n",
+      "Epoch 790/1000, Cost: 3.5712\n",
+      " and the parameters are [-3.10554784  4.18911975] -5.508671741230389 ;\n",
+      "Epoch 790/1000, Cost: 1.2477\n",
+      " and the parameters are [-3.10553244  4.18912678] -5.508700063917895 ;\n",
+      "Epoch 790/1000, Cost: 2.4072\n",
+      " and the parameters are [-3.10558793  4.18915785] -5.508668801156551 ;\n",
+      "Epoch 790/1000, Cost: 5.2095\n",
+      " and the parameters are [-3.10554804  4.1891182 ] -5.508734894367789 ;\n",
+      "Epoch 790/1000, Cost: 2.5365\n",
+      " and the parameters are [-3.10553908  4.18914024] -5.508754776106227 ;\n",
+      "Epoch 790/1000, Cost: 2.3808\n",
+      " and the parameters are [-3.10555416  4.18917235] -5.50874691801513 ;\n",
+      "Epoch 790/1000, Cost: 4.9614\n",
+      " and the parameters are [-3.10552358  4.18918968] -5.508783243568764 ;\n",
+      "Epoch 790/1000, Cost: 1.4812\n",
+      " and the parameters are [-3.10555804  4.18921477] -5.508760981201355 ;\n",
+      "Epoch 790/1000, Cost: 4.3905\n",
+      " and the parameters are [-3.10565237  4.18913975] -5.50877295518674 ;\n",
+      "Epoch 790/1000, Cost: 3.1710\n",
+      " and the parameters are [-3.10567072  4.18915692] -5.508763442507201 ;\n",
+      "Epoch 790/1000, Cost: 1.4272\n",
+      " and the parameters are [-3.10575503  4.18911341] -5.508774318241121 ;\n",
+      "Epoch 790/1000, Cost: 1.5290\n",
+      " and the parameters are [-3.10574874  4.18912627] -5.508793633131476 ;\n",
+      "Epoch 790/1000, Cost: 1.7420\n",
+      " and the parameters are [-3.10576989  4.18907394] -5.5088283487566825 ;\n",
+      "Epoch 790/1000, Cost: 1.0786\n",
+      " and the parameters are [-3.10578202  4.18912738] -5.508800152983505 ;\n",
+      "Epoch 790/1000, Cost: 3.1357\n",
+      " and the parameters are [-3.1057414   4.18916279] -5.508812983853145 ;\n",
+      "Epoch 790/1000, Cost: 2.1961\n",
+      " and the parameters are [-3.10578045  4.18911867] -5.508851758472701 ;\n",
+      "Epoch 790/1000, Cost: 3.4577\n",
+      " and the parameters are [-3.1058078  4.1891264] -5.508853323869632 ;\n",
+      "Epoch 790/1000, Cost: 0.8920\n",
+      " and the parameters are [-3.10580822  4.18918459] -5.508827235000216 ;\n",
+      "Epoch 790/1000, Cost: 1.5346\n",
+      " and the parameters are [-3.10582361  4.18919985] -5.508832502044986 ;\n",
+      "Epoch 790/1000, Cost: 1.2434\n",
+      " and the parameters are [-3.10579838  4.18919647] -5.508862124371731 ;\n",
+      "Epoch 790/1000, Cost: 3.1417\n",
+      " and the parameters are [-3.10586047  4.18923759] -5.508826684521059 ;\n",
+      "Epoch 790/1000, Cost: 2.4941\n",
+      " and the parameters are [-3.10584274  4.18922509] -5.50885931917201 ;\n",
+      "Epoch 790/1000, Cost: 1.8621\n",
+      " and the parameters are [-3.10584379  4.18932355] -5.508798232837661 ;\n",
+      "Epoch 790/1000, Cost: 2.2199\n",
+      " and the parameters are [-3.10579228  4.18939001] -5.508808052559698 ;\n",
+      "Epoch 790/1000, Cost: 1.5111\n",
+      " and the parameters are [-3.10583779  4.18937809] -5.508817879866843 ;\n",
+      "Epoch 790/1000, Cost: 5.5894\n",
+      " and the parameters are [-3.10582615  4.18922211] -5.508937003502161 ;\n",
+      "Epoch 790/1000, Cost: 5.7163\n",
+      " and the parameters are [-3.10576964  4.18920865] -5.508984776247312 ;\n",
+      "Epoch 790/1000, Cost: 2.6707\n",
+      " and the parameters are [-3.1058092   4.18916566] -5.50901518755791 ;\n",
+      "Epoch 790/1000, Cost: 4.5570\n",
+      " and the parameters are [-3.10584634  4.18903095] -5.509103374544679 ;\n",
+      "Epoch 790/1000, Cost: 1.4449\n",
+      " and the parameters are [-3.10583915  4.18905752] -5.509113825589541 ;\n",
+      "Epoch 790/1000, Cost: 2.3884\n",
+      " and the parameters are [-3.10586727  4.18915277] -5.509045105262457 ;\n",
+      "Epoch 790/1000, Cost: 3.0500\n",
+      " and the parameters are [-3.1058891   4.18905262] -5.5091270463993505 ;\n",
+      "Epoch 790/1000, Cost: 1.3253\n",
+      " and the parameters are [-3.1059066   4.18907102] -5.509127003907917 ;\n",
+      "Epoch 790/1000, Cost: 2.0518\n",
+      " and the parameters are [-3.10591848  4.1891305 ] -5.509096667928556 ;\n",
+      "Epoch 790/1000, Cost: 2.6152\n",
+      " and the parameters are [-3.10597943  4.1891114 ] -5.509097533758554 ;\n",
+      "Epoch 790/1000, Cost: 2.0951\n",
+      " and the parameters are [-3.10601758  4.18911345] -5.509099144396782 ;\n",
+      "Epoch 790/1000, Cost: 2.2173\n",
+      " and the parameters are [-3.10601447  4.18909611] -5.509117957625871 ;\n",
+      "Epoch 790/1000, Cost: 2.3124\n",
+      " and the parameters are [-3.10598173  4.18906519] -5.509190391378925 ;\n",
+      "Epoch 790/1000, Cost: 1.0521\n",
+      " and the parameters are [-3.10599736  4.18909438] -5.509183536316067 ;\n",
+      "Epoch 790/1000, Cost: 1.9383\n",
+      " and the parameters are [-3.10597081  4.18906835] -5.509234123215229 ;\n",
+      "Epoch 790/1000, Cost: 1.7962\n",
+      " and the parameters are [-3.10606308  4.18897799] -5.509271706564217 ;\n",
+      "Epoch 790/1000, Cost: 2.6962\n",
+      " and the parameters are [-3.10596421  4.18899293] -5.509337747665896 ;\n",
+      "Epoch 790/1000, Cost: 2.0125\n",
+      " and the parameters are [-3.10597533  4.18901365] -5.509340525679194 ;\n",
+      "Epoch 790/1000, Cost: 2.2484\n",
+      " and the parameters are [-3.10600139  4.18899151] -5.50937642609603 ;\n",
+      "Epoch 790/1000, Cost: 0.8931\n",
+      " and the parameters are [-3.1060116   4.18900715] -5.509377920604232 ;\n",
+      "Epoch 790/1000, Cost: 2.0481\n",
+      " and the parameters are [-3.10602603  4.18898625] -5.509417138640696 ;\n",
+      "Epoch 790/1000, Cost: 1.8294\n",
+      " and the parameters are [-3.1060599   4.18904641] -5.509375587387731 ;\n",
+      "Epoch 790/1000, Cost: 2.0826\n",
+      " and the parameters are [-3.10603408  4.18910839] -5.509373643657838 ;\n",
+      "Epoch 790/1000, Cost: 6.0312\n",
+      " and the parameters are [-3.10605707  4.1891363 ] -5.509343331116344 ;\n",
+      "Epoch 790/1000, Cost: 2.4893\n",
+      " and the parameters are [-3.10602722  4.1892731 ] -5.509274440527835 ;\n",
+      "Epoch 790/1000, Cost: 2.1985\n",
+      " and the parameters are [-3.106034   4.1892311] -5.509324341919414 ;\n",
+      "Epoch 790/1000, Cost: 4.9809\n",
+      " and the parameters are [-3.106057    4.18919762] -5.509324438457939 ;\n",
+      "Epoch 790/1000, Cost: 1.8590\n",
+      " and the parameters are [-3.10606474  4.18928507] -5.509278928667117 ;\n",
+      "Epoch 790/1000, Cost: 1.7405\n",
+      " and the parameters are [-3.10609084  4.18925633] -5.509304787912852 ;\n",
+      "Epoch 790/1000, Cost: 1.5290\n",
+      " and the parameters are [-3.10611239  4.18925816] -5.509317832963616 ;\n",
+      "Epoch 790/1000, Cost: 2.6262\n",
+      " and the parameters are [-3.10610979  4.1894126 ] -5.509223409675749 ;\n",
+      "Epoch 790/1000, Cost: 1.1149\n",
+      " and the parameters are [-3.10612043  4.18942045] -5.509235309524995 ;\n",
+      "Epoch 790/1000, Cost: 4.4645\n",
+      " and the parameters are [-3.10623741  4.18940603] -5.509199076017437 ;\n",
+      "Epoch 790/1000, Cost: 1.2926\n",
+      " and the parameters are [-3.10624539  4.18945778] -5.50917885360734 ;\n",
+      "Epoch 790/1000, Cost: 2.7972\n",
+      " and the parameters are [-3.10620253  4.1894712 ] -5.509212806641279 ;\n",
+      "Epoch 790/1000, Cost: 9.6206\n",
+      " and the parameters are [-3.10635129  4.18937007] -5.509171963482352 ;\n",
+      "Epoch 790/1000, Cost: 1.8031\n",
+      " and the parameters are [-3.10633307  4.18938943] -5.509193556453991 ;\n",
+      "Epoch 790/1000, Cost: 6.8411\n",
+      " and the parameters are [-3.10638891  4.18918508] -5.5093145475828225 ;\n",
+      "Epoch 790/1000, Cost: 4.7589\n",
+      " and the parameters are [-3.10637713  4.18924946] -5.509291489226783 ;\n",
+      "Epoch 790/1000, Cost: 1.3388\n",
+      " and the parameters are [-3.10638481  4.18923524] -5.509316940196639 ;\n",
+      "Epoch 790/1000, Cost: 2.3104\n",
+      " and the parameters are [-3.10642468  4.18928443] -5.509266859222593 ;\n",
+      "Epoch 790/1000, Cost: 1.7023\n",
+      " and the parameters are [-3.10647743  4.18927746] -5.5092674787054685 ;\n",
+      "Epoch 790/1000, Cost: 1.8756\n",
+      " and the parameters are [-3.10650163  4.18923118] -5.509314991928552 ;\n",
+      "Epoch 790/1000, Cost: 4.6623\n",
+      " and the parameters are [-3.10650714  4.18911663] -5.509414215091712 ;\n",
+      "Epoch 790/1000, Cost: 4.4587\n",
+      " and the parameters are [-3.10650685  4.1890373 ] -5.509479090140274 ;\n",
+      "Epoch 790/1000, Cost: 4.3449\n",
+      " and the parameters are [-3.10647991  4.18895356] -5.509580506744173 ;\n",
+      "Epoch 790/1000, Cost: 1.4824\n",
+      " and the parameters are [-3.10643734  4.18899626] -5.509592561696243 ;\n",
+      "Epoch 790/1000, Cost: 6.2890\n",
+      " and the parameters are [-3.10643164  4.18886138] -5.50968758789561 ;\n",
+      "Epoch 790/1000, Cost: 1.4702\n",
+      " and the parameters are [-3.10645511  4.18888367] -5.509690573781857 ;\n",
+      "Epoch 790/1000, Cost: 2.9294\n",
+      " and the parameters are [-3.1064081   4.18895242] -5.509683369205974 ;\n",
+      "Epoch 790/1000, Cost: 4.8834\n",
+      " and the parameters are [-3.10642113  4.18899314] -5.509641529694811 ;\n",
+      "Epoch 790/1000, Cost: 2.4597\n",
+      " and the parameters are [-3.10642849  4.18907191] -5.509601479722282 ;\n",
+      "Epoch 790/1000, Cost: 2.5431\n",
+      " and the parameters are [-3.10643272  4.18907367] -5.509625752188834 ;\n",
+      "Epoch 790/1000, Cost: 2.5484\n",
+      " and the parameters are [-3.10644978  4.18898313] -5.509701737084058 ;\n",
+      "Epoch 790/1000, Cost: 1.7207\n",
+      " and the parameters are [-3.10648707  4.18899066] -5.509694812964877 ;\n",
+      "Epoch 790/1000, Cost: 1.6450\n",
+      " and the parameters are [-3.10651127  4.18896713] -5.509726148674553 ;\n",
+      "Epoch 790/1000, Cost: 3.0431\n",
+      " and the parameters are [-3.10648158  4.1889071 ] -5.509797839061954 ;\n",
+      "Epoch 790/1000, Cost: 2.3889\n",
+      " and the parameters are [-3.10650403  4.18891234] -5.509808053382755 ;\n",
+      "Epoch 790/1000, Cost: 2.9068\n",
+      " and the parameters are [-3.10654229  4.18883177] -5.509862649429182 ;\n",
+      "Epoch 790/1000, Cost: 2.6769\n",
+      " and the parameters are [-3.10654306  4.18883892] -5.509879599718376 ;\n",
+      "Epoch 790/1000, Cost: 1.2289\n",
+      " and the parameters are [-3.10655414  4.18883147] -5.509902714695577 ;\n",
+      "Epoch 790/1000, Cost: 2.4246\n",
+      " and the parameters are [-3.10656299  4.18883099] -5.509924540992161 ;\n",
+      "Epoch 790/1000, Cost: 0.6902\n",
+      " and the parameters are [-3.10656933  4.18885264] -5.509920403617872 ;\n",
+      "Epoch 790/1000, Cost: 6.4353\n",
+      " and the parameters are [-3.10668401  4.18878795] -5.509905024576694 ;\n",
+      "Epoch 790/1000, Cost: 2.4051\n",
+      " and the parameters are [-3.10664593  4.18891094] -5.509857186208547 ;\n",
+      "Epoch 790/1000, Cost: 4.2202\n",
+      " and the parameters are [-3.10665139  4.1888006 ] -5.509933282823964 ;\n",
+      "Epoch 790/1000, Cost: 4.6821\n",
+      " and the parameters are [-3.10662643  4.18883252] -5.509933671705169 ;\n",
+      "Epoch 790/1000, Cost: 2.6766\n",
+      " and the parameters are [-3.10665268  4.18874959] -5.5100111381692525 ;\n",
+      "Epoch 790/1000, Cost: 2.1657\n",
+      " and the parameters are [-3.10671332  4.18874934] -5.510002439526904 ;\n",
+      "Epoch 790/1000, Cost: 2.8136\n",
+      " and the parameters are [-3.10669536  4.18876295] -5.510029344325177 ;\n",
+      "Epoch 790/1000, Cost: 2.5316\n",
+      " and the parameters are [-3.10670505  4.18884745] -5.5099980070525865 ;\n",
+      "Epoch 790/1000, Cost: 3.4835\n",
+      " and the parameters are [-3.10658651  4.18893737] -5.510029626457322 ;\n",
+      "Epoch 790/1000, Cost: 2.5891\n",
+      " and the parameters are [-3.10656364  4.18891624] -5.5100728268459305 ;\n",
+      "Epoch 790/1000, Cost: 1.9394\n",
+      " and the parameters are [-3.10658962  4.18889184] -5.510109731681093 ;\n",
+      "Epoch 790/1000, Cost: 1.3107\n",
+      " and the parameters are [-3.10660031  4.18886325] -5.510150209166593 ;\n",
+      "Epoch 790/1000, Cost: 1.4080\n",
+      " and the parameters are [-3.10659104  4.18890081] -5.510151688539014 ;\n",
+      "Epoch 790/1000, Cost: 4.9437\n",
+      " and the parameters are [-3.10650939  4.18898623] -5.510134487532698 ;\n",
+      "Epoch 790/1000, Cost: 2.2050\n",
+      " and the parameters are [-3.10648244  4.18897615] -5.510176219807059 ;\n",
+      "Epoch 790/1000, Cost: 2.4804\n",
+      " and the parameters are [-3.10649483  4.18895492] -5.510205246233583 ;\n",
+      "Epoch 790/1000, Cost: 2.7345\n",
+      " and the parameters are [-3.10649488  4.1889864 ] -5.510202291576155 ;\n",
+      "Epoch 790/1000, Cost: 4.8654\n",
+      " and the parameters are [-3.10658677  4.18887007] -5.510237176085473 ;\n",
+      "Epoch 790/1000, Cost: 2.8729\n",
+      " and the parameters are [-3.10665804  4.18891389] -5.510174062483156 ;\n",
+      "Epoch 790/1000, Cost: 1.0450\n",
+      " and the parameters are [-3.10662519  4.18893519] -5.510195471680553 ;\n",
+      "Epoch 790/1000, Cost: 2.1000\n",
+      " and the parameters are [-3.10658804  4.18895073] -5.510215424226109 ;\n",
+      "Epoch 790/1000, Cost: 1.8745\n",
+      " and the parameters are [-3.10658728  4.18897204] -5.510228976373724 ;\n",
+      "Epoch 790/1000, Cost: 3.8975\n",
+      " and the parameters are [-3.10656744  4.1889869 ] -5.510232115109423 ;\n",
+      "Epoch 790/1000, Cost: 4.6557\n",
+      " and the parameters are [-3.10653615  4.18905717] -5.510202384498188 ;\n",
+      "Epoch 790/1000, Cost: 4.6904\n",
+      " and the parameters are [-3.10650775  4.18920252] -5.510119428203246 ;\n",
+      "Epoch 790/1000, Cost: 4.8292\n",
+      " and the parameters are [-3.10653243  4.18934238] -5.509998481156539 ;\n",
+      "Epoch 790/1000, Cost: 5.4770\n",
+      " and the parameters are [-3.10643093  4.18937   ] -5.510035378750904 ;\n",
+      "Epoch 790/1000, Cost: 2.4157\n",
+      " and the parameters are [-3.10641082  4.18939823] -5.510056569982332 ;\n",
+      "Epoch 790/1000, Cost: 3.9253\n",
+      " and the parameters are [-3.10640304  4.18930654] -5.510150479642529 ;\n",
+      "Epoch 790/1000, Cost: 2.9399\n",
+      " and the parameters are [-3.10636878  4.18940543] -5.510115519144742 ;\n",
+      "Epoch 790/1000, Cost: 1.9956\n",
+      " and the parameters are [-3.10633808  4.18949244] -5.510085365486971 ;\n",
+      "Epoch 790/1000, Cost: 1.7366\n",
+      " and the parameters are [-3.1063227   4.18950248] -5.510110143287192 ;\n",
+      "Epoch 790/1000, Cost: 3.6220\n",
+      " and the parameters are [-3.10635435  4.189489  ] -5.510112991304039 ;\n",
+      "Epoch 790/1000, Cost: 6.8157\n",
+      " and the parameters are [-3.10638624  4.18943505] -5.510119681513451 ;\n",
+      "Epoch 790/1000, Cost: 2.1825\n",
+      " and the parameters are [-3.10642285  4.18944234] -5.510113422153791 ;\n",
+      "Epoch 790/1000, Cost: 3.9227\n",
+      " and the parameters are [-3.10651892  4.18926492] -5.510217203507267 ;\n",
+      "Epoch 790/1000, Cost: 4.1843\n",
+      " and the parameters are [-3.10652808  4.18930762] -5.510194586008131 ;\n",
+      "Epoch 790/1000, Cost: 2.8163\n",
+      " and the parameters are [-3.10651397  4.18925992] -5.510261170122206 ;\n",
+      "Epoch 790/1000, Cost: 5.1290\n",
+      " and the parameters are [-3.10653995  4.18918167] -5.510314418313022 ;\n",
+      "Epoch 790/1000, Cost: 1.5011\n",
+      " and the parameters are [-3.1065417   4.18924471] -5.510282661168247 ;\n",
+      "Epoch 790/1000, Cost: 2.3758\n",
+      " and the parameters are [-3.10656724  4.18918257] -5.510323913210602 ;\n",
+      "Epoch 790/1000, Cost: 3.6555\n",
+      " and the parameters are [-3.10654286  4.18915474] -5.510376868067132 ;\n",
+      "Epoch 790/1000, Cost: 2.3890\n",
+      " and the parameters are [-3.10657765  4.18909516] -5.5104265421576955 ;\n",
+      "Epoch 790/1000, Cost: 2.2942\n",
+      " and the parameters are [-3.10654618  4.18914739] -5.5104313944668855 ;\n",
+      "Epoch 790/1000, Cost: 6.9058\n",
+      " and the parameters are [-3.1066287   4.18926711] -5.510287047091277 ;\n",
+      "Epoch 790/1000, Cost: 2.4466\n",
+      " and the parameters are [-3.10657806  4.18937638] -5.5102438631703 ;\n",
+      "Epoch 790/1000, Cost: 1.6153\n",
+      " and the parameters are [-3.10658187  4.18942464] -5.510234268610635 ;\n",
+      "Epoch 790/1000, Cost: 3.0916\n",
+      " and the parameters are [-3.10648202  4.18960642] -5.510175604235042 ;\n",
+      "Epoch 790/1000, Cost: 3.3346\n",
+      " and the parameters are [-3.10647581  4.18960817] -5.5102021965293835 ;\n",
+      "Epoch 790/1000, Cost: 2.0269\n",
+      " and the parameters are [-3.10653121  4.1895985 ] -5.51020495369795 ;\n",
+      "Epoch 790/1000, Cost: 2.8726\n",
+      " and the parameters are [-3.1065439   4.18951815] -5.510288711188436 ;\n",
+      "Epoch 790/1000, Cost: 2.2456\n",
+      " and the parameters are [-3.10656108  4.18955459] -5.510265449676665 ;\n",
+      "Epoch 790/1000, Cost: 3.1554\n",
+      " and the parameters are [-3.10655385  4.18958677] -5.510265017347294 ;\n",
+      "Epoch 790/1000, Cost: 2.2166\n",
+      " and the parameters are [-3.10653856  4.18957062] -5.5103136562325625 ;\n",
+      "Epoch 790/1000, Cost: 2.7484\n",
+      " and the parameters are [-3.1065531   4.18963783] -5.510277278478632 ;\n",
+      "Epoch 790/1000, Cost: 1.9168\n",
+      " and the parameters are [-3.1065224   4.18968324] -5.510284045249627 ;\n",
+      "Epoch 790/1000, Cost: 2.7617\n",
+      " and the parameters are [-3.10655313  4.1897168 ] -5.510255280676084 ;\n",
+      "Epoch 790/1000, Cost: 1.7149\n",
+      " and the parameters are [-3.10653957  4.18976713] -5.510246139819655 ;\n",
+      "Epoch 790/1000, Cost: 5.7846\n",
+      " and the parameters are [-3.10655057  4.18982908] -5.510189602324485 ;\n",
+      "Epoch 790/1000, Cost: 5.6069\n",
+      " and the parameters are [-3.10641878  4.18982207] -5.510259189844889 ;\n",
+      "Epoch 790/1000, Cost: 4.6514\n",
+      " and the parameters are [-3.10647847  4.18970367] -5.510321756205306 ;\n",
+      "Epoch 790/1000, Cost: 5.3905\n",
+      " and the parameters are [-3.10648394  4.18967947] -5.510332499834334 ;\n",
+      "Epoch 790/1000, Cost: 6.0783\n",
+      " and the parameters are [-3.10647099  4.18982267] -5.510228448051853 ;\n",
+      "Epoch 790/1000, Cost: 1.7234\n",
+      " and the parameters are [-3.10647175  4.1898193 ] -5.510255748774816 ;\n",
+      "Epoch 790/1000, Cost: 8.7968\n",
+      " and the parameters are [-3.10638551  4.1899799 ] -5.510146676265551 ;\n",
+      "Epoch 790/1000, Cost: 3.5765\n",
+      " and the parameters are [-3.10643345  4.1898236 ] -5.510269116842996 ;\n",
+      "Epoch 790/1000, Cost: 9.8641\n",
+      " and the parameters are [-3.10641679  4.18972593] -5.5103197985072505 ;\n",
+      "Epoch 790/1000, Cost: 1.1471\n",
+      " and the parameters are [-3.10643609  4.18977598] -5.510296882320616 ;\n",
+      "Epoch 790/1000, Cost: 2.8831\n",
+      " and the parameters are [-3.10643601  4.18987578] -5.510248724458363 ;\n",
+      "Epoch 790/1000, Cost: 8.0865\n",
+      " and the parameters are [-3.10650858  4.18968032] -5.5103461861134 ;\n",
+      "Epoch 790/1000, Cost: 8.3789\n",
+      " and the parameters are [-3.10651031  4.18972454] -5.51027510332349 ;\n",
+      "Epoch 790/1000, Cost: 7.2749\n",
+      " and the parameters are [-3.10646463  4.18990423] -5.51014710029084 ;\n",
+      "Epoch 790/1000, Cost: 3.2878\n",
+      " and the parameters are [-3.10638054  4.19002439] -5.510132349483422 ;\n",
+      "Epoch 790/1000, Cost: 2.3518\n",
+      " and the parameters are [-3.10631717  4.19002927] -5.510191671062798 ;\n",
+      "Epoch 790/1000, Cost: 3.4124\n",
+      " and the parameters are [-3.10637337  4.1899653 ] -5.510237114614723 ;\n",
+      "Epoch 790/1000, Cost: 2.1755\n",
+      " and the parameters are [-3.10636189  4.19004759] -5.510211755219108 ;\n",
+      "Epoch 790/1000, Cost: 2.9375\n",
+      " and the parameters are [-3.10637966  4.18997489] -5.510285091322497 ;\n",
+      "Epoch 790/1000, Cost: 1.4618\n",
+      " and the parameters are [-3.10634578  4.19006235] -5.510254502518663 ;\n",
+      "Epoch 790/1000, Cost: 2.0258\n",
+      " and the parameters are [-3.10633107  4.19002414] -5.51031942722476 ;\n",
+      "Epoch 790/1000, Cost: 3.6688\n",
+      " and the parameters are [-3.10631469  4.18996689] -5.510398760735114 ;\n",
+      "Epoch 790/1000, Cost: 2.0645\n",
+      " and the parameters are [-3.10638621  4.1899456 ] -5.510408126935061 ;\n",
+      "Epoch 790/1000, Cost: 4.1114\n",
+      " and the parameters are [-3.10635634  4.18995555] -5.510418768851038 ;\n",
+      "Epoch 790/1000, Cost: 5.0785\n",
+      " and the parameters are [-3.10637435  4.18983602] -5.51048633430869 ;\n",
+      "Epoch 790/1000, Cost: 1.2477\n",
+      " and the parameters are [-3.10639045  4.18982248] -5.510512304145194 ;\n",
+      "Epoch 790/1000, Cost: 6.1331\n",
+      " and the parameters are [-3.1063459   4.18991128] -5.5104574094668095 ;\n",
+      "Epoch 790/1000, Cost: 2.8743\n",
+      " and the parameters are [-3.10640367  4.18998956] -5.510378491748804 ;\n",
+      "Epoch 790/1000, Cost: 0.9924\n",
+      " and the parameters are [-3.10640903  4.19001766] -5.510375774717124 ;\n",
+      "Epoch 790/1000, Cost: 2.8205\n",
+      " and the parameters are [-3.10640095  4.19004554] -5.510381243822723 ;\n",
+      "Epoch 790/1000, Cost: 0.7931\n",
+      " and the parameters are [-3.10640598  4.19007897] -5.510368412548202 ;\n",
+      "Epoch 790/1000, Cost: 2.5566\n",
+      " and the parameters are [-3.10640092  4.19003128] -5.51041381399695 ;\n",
+      "Epoch 790/1000, Cost: 5.0871\n",
+      " and the parameters are [-3.10638767  4.19009238] -5.510411363184757 ;\n",
+      "Epoch 790/1000, Cost: 2.2335\n",
+      " and the parameters are [-3.10640869  4.19013287] -5.510390849693207 ;\n",
+      "Epoch 790/1000, Cost: 1.5211\n",
+      " and the parameters are [-3.10643051  4.1900724 ] -5.51044097977664 ;\n",
+      "Epoch 790/1000, Cost: 2.7382\n",
+      " and the parameters are [-3.10643678  4.19011676] -5.510427601963651 ;\n",
+      "Epoch 790/1000, Cost: 1.4240\n",
+      " and the parameters are [-3.10647121  4.19012001] -5.51043666945919 ;\n",
+      "Epoch 790/1000, Cost: 1.5577\n",
+      " and the parameters are [-3.10649177  4.19006971] -5.510487076147322 ;\n",
+      "Epoch 790/1000, Cost: 1.4887\n",
+      " and the parameters are [-3.10649124  4.19005205] -5.510527118715604 ;\n",
+      "Epoch 790/1000, Cost: 2.9888\n",
+      " and the parameters are [-3.1064849   4.19000429] -5.510588886877424 ;\n",
+      "Epoch 790/1000, Cost: 7.0337\n",
+      " and the parameters are [-3.10644696  4.19008685] -5.5105402399712275 ;\n",
+      "Epoch 800/1000, Cost: 3.2393\n",
+      " and the parameters are [-3.11558093  4.20147777] -5.526772464537058 ;\n",
+      "Epoch 800/1000, Cost: 3.3545\n",
+      " and the parameters are [-3.11570421  4.20149869] -5.526702266457936 ;\n",
+      "Epoch 800/1000, Cost: 2.4396\n",
+      " and the parameters are [-3.11571048  4.20143751] -5.526760019828113 ;\n",
+      "Epoch 800/1000, Cost: 3.5895\n",
+      " and the parameters are [-3.11567942  4.20138842] -5.526810769614533 ;\n",
+      "Epoch 800/1000, Cost: 4.7153\n",
+      " and the parameters are [-3.11563875  4.20127417] -5.526930352214825 ;\n",
+      "Epoch 800/1000, Cost: 2.2240\n",
+      " and the parameters are [-3.11564165  4.20135458] -5.526895974934281 ;\n",
+      "Epoch 800/1000, Cost: 5.3639\n",
+      " and the parameters are [-3.11569556  4.20136188] -5.526853296411161 ;\n",
+      "Epoch 800/1000, Cost: 2.8509\n",
+      " and the parameters are [-3.11571817  4.20134232] -5.526866407504127 ;\n",
+      "Epoch 800/1000, Cost: 1.3982\n",
+      " and the parameters are [-3.11570502  4.2013622 ] -5.526882260440591 ;\n",
+      "Epoch 800/1000, Cost: 4.7411\n",
+      " and the parameters are [-3.11578067  4.20133852] -5.526864960338725 ;\n",
+      "Epoch 800/1000, Cost: 1.8972\n",
+      " and the parameters are [-3.11573246  4.20145217] -5.52683930276283 ;\n",
+      "Epoch 800/1000, Cost: 5.9450\n",
+      " and the parameters are [-3.11571899  4.20135967] -5.526922936413647 ;\n",
+      "Epoch 800/1000, Cost: 1.6136\n",
+      " and the parameters are [-3.11571101  4.20140468] -5.526923440182691 ;\n",
+      "Epoch 800/1000, Cost: 3.0365\n",
+      " and the parameters are [-3.11562227  4.20156016] -5.526881762295878 ;\n",
+      "Epoch 800/1000, Cost: 5.5246\n",
+      " and the parameters are [-3.11562911  4.20155758] -5.52686732305177 ;\n",
+      "Epoch 800/1000, Cost: 2.2946\n",
+      " and the parameters are [-3.11559922  4.2015375 ] -5.526923650332204 ;\n",
+      "Epoch 800/1000, Cost: 3.2833\n",
+      " and the parameters are [-3.1155844  4.2016731] -5.526843999609947 ;\n",
+      "Epoch 800/1000, Cost: 5.9443\n",
+      " and the parameters are [-3.11561681  4.20147764] -5.526980147766625 ;\n",
+      "Epoch 800/1000, Cost: 1.8240\n",
+      " and the parameters are [-3.11563536  4.20146445] -5.5269992414234945 ;\n",
+      "Epoch 800/1000, Cost: 1.8983\n",
+      " and the parameters are [-3.11565048  4.20151867] -5.526975637329919 ;\n",
+      "Epoch 800/1000, Cost: 1.9559\n",
+      " and the parameters are [-3.11568226  4.20149699] -5.526992801492632 ;\n",
+      "Epoch 800/1000, Cost: 1.6658\n",
+      " and the parameters are [-3.1157334   4.20144106] -5.527033119570591 ;\n",
+      "Epoch 800/1000, Cost: 1.9953\n",
+      " and the parameters are [-3.11567843  4.20143705] -5.527083640152513 ;\n",
+      "Epoch 800/1000, Cost: 1.9780\n",
+      " and the parameters are [-3.11569933  4.20147219] -5.527063122282637 ;\n",
+      "Epoch 800/1000, Cost: 3.1091\n",
+      " and the parameters are [-3.11557437  4.20148664] -5.527143133278639 ;\n",
+      "Epoch 800/1000, Cost: 5.2698\n",
+      " and the parameters are [-3.11558509  4.20150999] -5.527135322314163 ;\n",
+      "Epoch 800/1000, Cost: 7.1600\n",
+      " and the parameters are [-3.11565193  4.2012916 ] -5.527260931424917 ;\n",
+      "Epoch 800/1000, Cost: 0.9398\n",
+      " and the parameters are [-3.11564479  4.20135612] -5.527231187210214 ;\n",
+      "Epoch 800/1000, Cost: 6.3204\n",
+      " and the parameters are [-3.11557192  4.20145013] -5.527216936344789 ;\n",
+      "Epoch 800/1000, Cost: 3.7117\n",
+      " and the parameters are [-3.11564261  4.2013039 ] -5.527304377289819 ;\n",
+      "Epoch 800/1000, Cost: 2.6408\n",
+      " and the parameters are [-3.11562631  4.20125919] -5.527379774695762 ;\n",
+      "Epoch 800/1000, Cost: 4.2139\n",
+      " and the parameters are [-3.11561689  4.20136224] -5.527328890546128 ;\n",
+      "Epoch 800/1000, Cost: 3.5612\n",
+      " and the parameters are [-3.1155711   4.20151112] -5.527266503253645 ;\n",
+      "Epoch 800/1000, Cost: 3.5303\n",
+      " and the parameters are [-3.11554343  4.20163766] -5.527205622029548 ;\n",
+      "Epoch 800/1000, Cost: 4.1050\n",
+      " and the parameters are [-3.11557834  4.20159621] -5.527241382570669 ;\n",
+      "Epoch 800/1000, Cost: 0.8202\n",
+      " and the parameters are [-3.11557242  4.20160455] -5.527259878386271 ;\n",
+      "Epoch 800/1000, Cost: 2.6156\n",
+      " and the parameters are [-3.11553473  4.20171652] -5.527219203408019 ;\n",
+      "Epoch 800/1000, Cost: 3.6839\n",
+      " and the parameters are [-3.1155306   4.20185139] -5.527125293308315 ;\n",
+      "Epoch 800/1000, Cost: 2.7440\n",
+      " and the parameters are [-3.11551626  4.20179691] -5.527189256596469 ;\n",
+      "Epoch 800/1000, Cost: 3.2280\n",
+      " and the parameters are [-3.11554326  4.2018749 ] -5.5271293371071355 ;\n",
+      "Epoch 800/1000, Cost: 5.9843\n",
+      " and the parameters are [-3.11541103  4.20195298] -5.527148446217504 ;\n",
+      "Epoch 800/1000, Cost: 1.5790\n",
+      " and the parameters are [-3.11538066  4.20201795] -5.527135435613363 ;\n",
+      "Epoch 800/1000, Cost: 3.1700\n",
+      " and the parameters are [-3.11524662  4.20214289] -5.527142872754138 ;\n",
+      "Epoch 800/1000, Cost: 2.9766\n",
+      " and the parameters are [-3.11520233  4.20218322] -5.527162767098457 ;\n",
+      "Epoch 800/1000, Cost: 4.4827\n",
+      " and the parameters are [-3.11524024  4.20216374] -5.527162654166937 ;\n",
+      "Epoch 800/1000, Cost: 1.1969\n",
+      " and the parameters are [-3.1152369   4.20221173] -5.527151754579089 ;\n",
+      "Epoch 800/1000, Cost: 2.6528\n",
+      " and the parameters are [-3.11525645  4.2021223 ] -5.52722700823925 ;\n",
+      "Epoch 800/1000, Cost: 4.2154\n",
+      " and the parameters are [-3.11520581  4.20208536] -5.527299920287736 ;\n",
+      "Epoch 800/1000, Cost: 1.7320\n",
+      " and the parameters are [-3.11522621  4.20205804] -5.527325090323477 ;\n",
+      "Epoch 800/1000, Cost: 3.3162\n",
+      " and the parameters are [-3.11527353  4.20209995] -5.52728305993608 ;\n",
+      "Epoch 800/1000, Cost: 2.9715\n",
+      " and the parameters are [-3.11535918  4.20204736] -5.527296661026478 ;\n",
+      "Epoch 800/1000, Cost: 4.5005\n",
+      " and the parameters are [-3.11538475  4.20207701] -5.5272825972360415 ;\n",
+      "Epoch 800/1000, Cost: 4.6115\n",
+      " and the parameters are [-3.11532457  4.2019852 ] -5.527374075698689 ;\n",
+      "Epoch 800/1000, Cost: 3.3661\n",
+      " and the parameters are [-3.11529559  4.2019946 ] -5.52739470668351 ;\n",
+      "Epoch 800/1000, Cost: 2.9384\n",
+      " and the parameters are [-3.11533276  4.20191941] -5.527445697127007 ;\n",
+      "Epoch 800/1000, Cost: 4.2872\n",
+      " and the parameters are [-3.11537208  4.20187949] -5.527457593243919 ;\n",
+      "Epoch 800/1000, Cost: 2.4805\n",
+      " and the parameters are [-3.11543527  4.20190529] -5.527415015347875 ;\n",
+      "Epoch 800/1000, Cost: 2.4368\n",
+      " and the parameters are [-3.11545713  4.20196482] -5.527387669256094 ;\n",
+      "Epoch 800/1000, Cost: 2.3809\n",
+      " and the parameters are [-3.11552497  4.20187507] -5.5274417222705745 ;\n",
+      "Epoch 800/1000, Cost: 1.9531\n",
+      " and the parameters are [-3.11552991  4.20183458] -5.5274848076695715 ;\n",
+      "Epoch 800/1000, Cost: 3.9419\n",
+      " and the parameters are [-3.11556326  4.20187481] -5.5274499562692805 ;\n",
+      "Epoch 800/1000, Cost: 1.6035\n",
+      " and the parameters are [-3.11556701  4.20191768] -5.527439443301482 ;\n",
+      "Epoch 800/1000, Cost: 1.0226\n",
+      " and the parameters are [-3.11556211  4.20189492] -5.527477178042679 ;\n",
+      "Epoch 800/1000, Cost: 5.4184\n",
+      " and the parameters are [-3.11560933  4.20179469] -5.527523687946608 ;\n",
+      "Epoch 800/1000, Cost: 3.9363\n",
+      " and the parameters are [-3.11557575  4.20199506] -5.527400734938891 ;\n",
+      "Epoch 800/1000, Cost: 4.1856\n",
+      " and the parameters are [-3.11563041  4.20184999] -5.527501239039227 ;\n",
+      "Epoch 800/1000, Cost: 1.0689\n",
+      " and the parameters are [-3.1156342  4.2019142] -5.527474945188877 ;\n",
+      "Epoch 800/1000, Cost: 2.9479\n",
+      " and the parameters are [-3.11564752  4.20184942] -5.527543659398273 ;\n",
+      "Epoch 800/1000, Cost: 4.3872\n",
+      " and the parameters are [-3.11568125  4.20166957] -5.52766852603055 ;\n",
+      "Epoch 800/1000, Cost: 7.4732\n",
+      " and the parameters are [-3.11567758  4.20163422] -5.527686467750869 ;\n",
+      "Epoch 800/1000, Cost: 0.8011\n",
+      " and the parameters are [-3.11568481  4.20162801] -5.5277037452457405 ;\n",
+      "Epoch 800/1000, Cost: 2.3995\n",
+      " and the parameters are [-3.1156671   4.20170695] -5.527671515257393 ;\n",
+      "Epoch 800/1000, Cost: 1.1747\n",
+      " and the parameters are [-3.11568964  4.20174295] -5.5276578511797885 ;\n",
+      "Epoch 800/1000, Cost: 1.2949\n",
+      " and the parameters are [-3.11571015  4.20174944] -5.527668197848795 ;\n",
+      "Epoch 800/1000, Cost: 2.4180\n",
+      " and the parameters are [-3.11577481  4.20164419] -5.52773773092477 ;\n",
+      "Epoch 800/1000, Cost: 1.3378\n",
+      " and the parameters are [-3.1157787   4.20164591] -5.527757463465272 ;\n",
+      "Epoch 800/1000, Cost: 3.1719\n",
+      " and the parameters are [-3.11586547  4.20161827] -5.527749980771157 ;\n",
+      "Epoch 800/1000, Cost: 4.6379\n",
+      " and the parameters are [-3.11586871  4.20163982] -5.527737885012533 ;\n",
+      "Epoch 800/1000, Cost: 2.2904\n",
+      " and the parameters are [-3.11587547  4.20171466] -5.527701916048231 ;\n",
+      "Epoch 800/1000, Cost: 4.5373\n",
+      " and the parameters are [-3.11586138  4.20165604] -5.527767005920223 ;\n",
+      "Epoch 800/1000, Cost: 1.3168\n",
+      " and the parameters are [-3.11586748  4.20170733] -5.527741662094268 ;\n",
+      "Epoch 800/1000, Cost: 0.7168\n",
+      " and the parameters are [-3.11585889  4.20176802] -5.527715994073652 ;\n",
+      "Epoch 800/1000, Cost: 3.3339\n",
+      " and the parameters are [-3.11593242  4.20165575] -5.527777617889337 ;\n",
+      "Epoch 800/1000, Cost: 0.9074\n",
+      " and the parameters are [-3.11592493  4.20171537] -5.527758336239144 ;\n",
+      "Epoch 800/1000, Cost: 3.8987\n",
+      " and the parameters are [-3.11597341  4.20175726] -5.52771113793229 ;\n",
+      "Epoch 800/1000, Cost: 3.0824\n",
+      " and the parameters are [-3.11600815  4.20170465] -5.527748249334034 ;\n",
+      "Epoch 800/1000, Cost: 2.0750\n",
+      " and the parameters are [-3.11600357  4.20167733] -5.527804182116401 ;\n",
+      "Epoch 800/1000, Cost: 4.5632\n",
+      " and the parameters are [-3.11596806  4.20154674] -5.527930293950242 ;\n",
+      "Epoch 800/1000, Cost: 7.5653\n",
+      " and the parameters are [-3.11593343  4.20148162] -5.52798531966338 ;\n",
+      "Epoch 800/1000, Cost: 2.6594\n",
+      " and the parameters are [-3.11596612  4.20135497] -5.5280965175749035 ;\n",
+      "Epoch 800/1000, Cost: 2.7410\n",
+      " and the parameters are [-3.11602423  4.20140981] -5.52805128905455 ;\n",
+      "Epoch 800/1000, Cost: 3.4168\n",
+      " and the parameters are [-3.11598125  4.20150222] -5.528033887305794 ;\n",
+      "Epoch 800/1000, Cost: 2.8904\n",
+      " and the parameters are [-3.11600739  4.20149085] -5.528035175983781 ;\n",
+      "Epoch 800/1000, Cost: 7.7084\n",
+      " and the parameters are [-3.11592461  4.20153422] -5.528035284503955 ;\n",
+      "Epoch 800/1000, Cost: 3.0616\n",
+      " and the parameters are [-3.115924   4.2016251] -5.527993176515131 ;\n",
+      "Epoch 800/1000, Cost: 3.0640\n",
+      " and the parameters are [-3.11598251  4.20167913] -5.527928145632457 ;\n",
+      "Epoch 800/1000, Cost: 1.9343\n",
+      " and the parameters are [-3.11598032  4.20175067] -5.527887050262146 ;\n",
+      "Epoch 800/1000, Cost: 6.7099\n",
+      " and the parameters are [-3.11602919  4.20157856] -5.5279790054571345 ;\n",
+      "Epoch 800/1000, Cost: 2.7752\n",
+      " and the parameters are [-3.11600614  4.20170566] -5.527920427369414 ;\n",
+      "Epoch 800/1000, Cost: 2.2989\n",
+      " and the parameters are [-3.11602455  4.20167114] -5.527955013547339 ;\n",
+      "Epoch 800/1000, Cost: 2.8299\n",
+      " and the parameters are [-3.11597938  4.20165218] -5.528015644714284 ;\n",
+      "Epoch 800/1000, Cost: 2.1732\n",
+      " and the parameters are [-3.11594582  4.20170296] -5.528015328058189 ;\n",
+      "Epoch 800/1000, Cost: 3.4051\n",
+      " and the parameters are [-3.11596747  4.2016278 ] -5.528077919779033 ;\n",
+      "Epoch 800/1000, Cost: 10.3143\n",
+      " and the parameters are [-3.11594299  4.20138281] -5.528223543613078 ;\n",
+      "Epoch 800/1000, Cost: 1.9308\n",
+      " and the parameters are [-3.11597254  4.20133039] -5.528264994385344 ;\n",
+      "Epoch 800/1000, Cost: 1.4498\n",
+      " and the parameters are [-3.11596248  4.20134709] -5.528286671125038 ;\n",
+      "Epoch 800/1000, Cost: 2.5137\n",
+      " and the parameters are [-3.11591662  4.20132557] -5.528341964706501 ;\n",
+      "Epoch 800/1000, Cost: 6.6411\n",
+      " and the parameters are [-3.11589407  4.20140082] -5.528294449555748 ;\n",
+      "Epoch 800/1000, Cost: 2.6621\n",
+      " and the parameters are [-3.11588812  4.20133912] -5.528364719775224 ;\n",
+      "Epoch 800/1000, Cost: 1.4493\n",
+      " and the parameters are [-3.11591703  4.2012856 ] -5.528409925440765 ;\n",
+      "Epoch 800/1000, Cost: 2.0187\n",
+      " and the parameters are [-3.11595658  4.20129122] -5.528407582365304 ;\n",
+      "Epoch 800/1000, Cost: 6.2084\n",
+      " and the parameters are [-3.11598523  4.20129869] -5.528382873694266 ;\n",
+      "Epoch 800/1000, Cost: 2.4891\n",
+      " and the parameters are [-3.11602013  4.20136827] -5.528327451752346 ;\n",
+      "Epoch 800/1000, Cost: 2.0303\n",
+      " and the parameters are [-3.11602629  4.20140089] -5.528328730192255 ;\n",
+      "Epoch 800/1000, Cost: 3.2867\n",
+      " and the parameters are [-3.11608993  4.20132976] -5.528375011335712 ;\n",
+      "Epoch 800/1000, Cost: 2.6514\n",
+      " and the parameters are [-3.11597994  4.20137009] -5.5284184125374995 ;\n",
+      "Epoch 800/1000, Cost: 6.0925\n",
+      " and the parameters are [-3.11606161  4.2013677 ] -5.528380931831317 ;\n",
+      "Epoch 800/1000, Cost: 1.3438\n",
+      " and the parameters are [-3.11606744  4.20141023] -5.5283684596482665 ;\n",
+      "Epoch 800/1000, Cost: 4.2561\n",
+      " and the parameters are [-3.11603315  4.2014923 ] -5.528340701575485 ;\n",
+      "Epoch 800/1000, Cost: 4.3456\n",
+      " and the parameters are [-3.11609088  4.20137476] -5.528425345592713 ;\n",
+      "Epoch 800/1000, Cost: 1.2464\n",
+      " and the parameters are [-3.11609494  4.20141343] -5.5284176931174445 ;\n",
+      "Epoch 800/1000, Cost: 1.3727\n",
+      " and the parameters are [-3.11611948  4.2014595 ] -5.528394284369882 ;\n",
+      "Epoch 800/1000, Cost: 9.1204\n",
+      " and the parameters are [-3.11613595  4.20138431] -5.528415634936387 ;\n",
+      "Epoch 800/1000, Cost: 1.2086\n",
+      " and the parameters are [-3.11616022  4.20139629] -5.528420954788314 ;\n",
+      "Epoch 800/1000, Cost: 2.1026\n",
+      " and the parameters are [-3.11610273  4.20148698] -5.528411442780736 ;\n",
+      "Epoch 800/1000, Cost: 1.9830\n",
+      " and the parameters are [-3.11605194  4.20152785] -5.528439054787787 ;\n",
+      "Epoch 800/1000, Cost: 3.5285\n",
+      " and the parameters are [-3.11605962  4.20145227] -5.5285093428953465 ;\n",
+      "Epoch 800/1000, Cost: 1.8900\n",
+      " and the parameters are [-3.11606316  4.2014467 ] -5.528530593182575 ;\n",
+      "Epoch 800/1000, Cost: 1.9908\n",
+      " and the parameters are [-3.11602096  4.20148356] -5.528553491386881 ;\n",
+      "Epoch 800/1000, Cost: 3.1114\n",
+      " and the parameters are [-3.1159613   4.20160373] -5.528507242333397 ;\n",
+      "Epoch 800/1000, Cost: 3.6260\n",
+      " and the parameters are [-3.11598329  4.20159465] -5.528512398347881 ;\n",
+      "Epoch 800/1000, Cost: 1.1478\n",
+      " and the parameters are [-3.11596313  4.20165551] -5.528495632007565 ;\n",
+      "Epoch 800/1000, Cost: 1.4656\n",
+      " and the parameters are [-3.11598056  4.2016623 ] -5.5285120935403125 ;\n",
+      "Epoch 800/1000, Cost: 1.4759\n",
+      " and the parameters are [-3.11597888  4.20165237] -5.528543729771933 ;\n",
+      "Epoch 800/1000, Cost: 1.8773\n",
+      " and the parameters are [-3.11594941  4.20174831] -5.528514877284347 ;\n",
+      "Epoch 800/1000, Cost: 1.5848\n",
+      " and the parameters are [-3.11596844  4.20175339] -5.528520585074083 ;\n",
+      "Epoch 800/1000, Cost: 3.1481\n",
+      " and the parameters are [-3.11609687  4.20173256] -5.52846547328843 ;\n",
+      "Epoch 800/1000, Cost: 0.8018\n",
+      " and the parameters are [-3.11610634  4.2017355 ] -5.5284782102506975 ;\n",
+      "Epoch 800/1000, Cost: 1.0812\n",
+      " and the parameters are [-3.11609404  4.20175973] -5.528493440715946 ;\n",
+      "Epoch 800/1000, Cost: 4.0200\n",
+      " and the parameters are [-3.11615732  4.20181617] -5.528440639984701 ;\n",
+      "Epoch 800/1000, Cost: 5.2836\n",
+      " and the parameters are [-3.11614926  4.20178875] -5.528476043262506 ;\n",
+      "Epoch 800/1000, Cost: 3.8217\n",
+      " and the parameters are [-3.11620192  4.20183327] -5.528440215716209 ;\n",
+      "Epoch 800/1000, Cost: 2.4935\n",
+      " and the parameters are [-3.11611389  4.20187573] -5.528476918461561 ;\n",
+      "Epoch 800/1000, Cost: 3.5141\n",
+      " and the parameters are [-3.11606535  4.20191723] -5.528486955742298 ;\n",
+      "Epoch 800/1000, Cost: 3.1901\n",
+      " and the parameters are [-3.11603436  4.20207878] -5.528402499597981 ;\n",
+      "Epoch 800/1000, Cost: 1.6513\n",
+      " and the parameters are [-3.11604566  4.20212885] -5.528375941554641 ;\n",
+      "Epoch 800/1000, Cost: 3.4678\n",
+      " and the parameters are [-3.11606151  4.20205751] -5.528441275222435 ;\n",
+      "Epoch 800/1000, Cost: 5.5304\n",
+      " and the parameters are [-3.11607165  4.20206349] -5.528432883358641 ;\n",
+      "Epoch 800/1000, Cost: 3.9509\n",
+      " and the parameters are [-3.11609441  4.20199266] -5.528496335998622 ;\n",
+      "Epoch 800/1000, Cost: 2.3374\n",
+      " and the parameters are [-3.1160633   4.20209566] -5.5284544572857985 ;\n",
+      "Epoch 800/1000, Cost: 1.5779\n",
+      " and the parameters are [-3.11606384  4.2021758 ] -5.528422772155372 ;\n",
+      "Epoch 800/1000, Cost: 1.9973\n",
+      " and the parameters are [-3.11606713  4.20225913] -5.528371885269387 ;\n",
+      "Epoch 800/1000, Cost: 1.6147\n",
+      " and the parameters are [-3.11607525  4.20226801] -5.528383183019766 ;\n",
+      "Epoch 800/1000, Cost: 2.4635\n",
+      " and the parameters are [-3.11608072  4.20234199] -5.528349503845766 ;\n",
+      "Epoch 800/1000, Cost: 0.8451\n",
+      " and the parameters are [-3.1160938   4.20238542] -5.528324372125537 ;\n",
+      "Epoch 800/1000, Cost: 1.5753\n",
+      " and the parameters are [-3.11606211  4.2024889 ] -5.528289985369171 ;\n",
+      "Epoch 800/1000, Cost: 1.9697\n",
+      " and the parameters are [-3.11603715  4.20249768] -5.528320512515635 ;\n",
+      "Epoch 800/1000, Cost: 1.1378\n",
+      " and the parameters are [-3.11605021  4.20250209] -5.528334538307318 ;\n",
+      "Epoch 800/1000, Cost: 2.9692\n",
+      " and the parameters are [-3.11611297  4.2024282 ] -5.528376702762545 ;\n",
+      "Epoch 800/1000, Cost: 0.5778\n",
+      " and the parameters are [-3.1161291   4.20242734] -5.528385279031391 ;\n",
+      "Epoch 800/1000, Cost: 2.5414\n",
+      " and the parameters are [-3.11614656  4.20240787] -5.528420419824825 ;\n",
+      "Epoch 800/1000, Cost: 0.8002\n",
+      " and the parameters are [-3.11615056  4.20243117] -5.528417796548986 ;\n",
+      "Epoch 800/1000, Cost: 1.9786\n",
+      " and the parameters are [-3.1161379   4.20240823] -5.528470373986859 ;\n",
+      "Epoch 800/1000, Cost: 4.6200\n",
+      " and the parameters are [-3.11612117  4.20255178] -5.528389947275901 ;\n",
+      "Epoch 800/1000, Cost: 2.4025\n",
+      " and the parameters are [-3.11614712  4.20265704] -5.528321431334636 ;\n",
+      "Epoch 800/1000, Cost: 2.7533\n",
+      " and the parameters are [-3.11613602  4.20265158] -5.528349977566898 ;\n",
+      "Epoch 800/1000, Cost: 1.8209\n",
+      " and the parameters are [-3.11610704  4.20266592] -5.528379048226572 ;\n",
+      "Epoch 800/1000, Cost: 1.4232\n",
+      " and the parameters are [-3.11612303  4.20268456] -5.528383243768792 ;\n",
+      "Epoch 800/1000, Cost: 3.4414\n",
+      " and the parameters are [-3.11616503  4.20275015] -5.528339550021081 ;\n",
+      "Epoch 800/1000, Cost: 6.7792\n",
+      " and the parameters are [-3.11621361  4.2026211 ] -5.52840535318212 ;\n",
+      "Epoch 800/1000, Cost: 2.8523\n",
+      " and the parameters are [-3.11619246  4.20263167] -5.528430945355273 ;\n",
+      "Epoch 800/1000, Cost: 4.5809\n",
+      " and the parameters are [-3.11615062  4.20269215] -5.528423018424346 ;\n",
+      "Epoch 800/1000, Cost: 1.4729\n",
+      " and the parameters are [-3.11615749  4.2027592 ] -5.528379783567878 ;\n",
+      "Epoch 800/1000, Cost: 2.2530\n",
+      " and the parameters are [-3.11619782  4.20267142] -5.528436553150453 ;\n",
+      "Epoch 800/1000, Cost: 2.2893\n",
+      " and the parameters are [-3.11617082  4.20277205] -5.528393423090361 ;\n",
+      "Epoch 800/1000, Cost: 3.7613\n",
+      " and the parameters are [-3.11623532  4.20280289] -5.528349772567229 ;\n",
+      "Epoch 800/1000, Cost: 1.9619\n",
+      " and the parameters are [-3.11623633  4.20278764] -5.5283855517187614 ;\n",
+      "Epoch 800/1000, Cost: 2.4583\n",
+      " and the parameters are [-3.11626778  4.20280519] -5.528351890716427 ;\n",
+      "Epoch 800/1000, Cost: 5.1983\n",
+      " and the parameters are [-3.11634349  4.20273027] -5.52836115177188 ;\n",
+      "Epoch 800/1000, Cost: 6.6765\n",
+      " and the parameters are [-3.11631125  4.20262506] -5.528444652569718 ;\n",
+      "Epoch 800/1000, Cost: 0.9570\n",
+      " and the parameters are [-3.11633741  4.20259537] -5.528473033233519 ;\n",
+      "Epoch 800/1000, Cost: 3.6773\n",
+      " and the parameters are [-3.11630021  4.20267176] -5.528450434417063 ;\n",
+      "Epoch 800/1000, Cost: 6.2353\n",
+      " and the parameters are [-3.11635114  4.20255188] -5.528522423593609 ;\n",
+      "Epoch 800/1000, Cost: 1.5121\n",
+      " and the parameters are [-3.11633825  4.20263828] -5.528487384557637 ;\n",
+      "Epoch 800/1000, Cost: 0.9373\n",
+      " and the parameters are [-3.11633531  4.20269453] -5.528463415816053 ;\n",
+      "Epoch 800/1000, Cost: 3.1174\n",
+      " and the parameters are [-3.11642607  4.20253911] -5.528547833776733 ;\n",
+      "Epoch 800/1000, Cost: 2.2157\n",
+      " and the parameters are [-3.11644149  4.20258585] -5.528526319534669 ;\n",
+      "Epoch 800/1000, Cost: 5.7310\n",
+      " and the parameters are [-3.11648261  4.20242388] -5.5286124281781746 ;\n",
+      "Epoch 800/1000, Cost: 1.6284\n",
+      " and the parameters are [-3.1164886   4.20246955] -5.528596016133255 ;\n",
+      "Epoch 800/1000, Cost: 5.2800\n",
+      " and the parameters are [-3.11645358  4.20257974] -5.528513502719964 ;\n",
+      "Epoch 800/1000, Cost: 1.8584\n",
+      " and the parameters are [-3.1164765   4.20257863] -5.5285289922488685 ;\n",
+      "Epoch 800/1000, Cost: 3.6383\n",
+      " and the parameters are [-3.11653567  4.20256697] -5.528522201889216 ;\n",
+      "Epoch 800/1000, Cost: 2.3908\n",
+      " and the parameters are [-3.11658023  4.20260702] -5.528499203714324 ;\n",
+      "Epoch 800/1000, Cost: 2.1425\n",
+      " and the parameters are [-3.11654276  4.20270113] -5.528466578154816 ;\n",
+      "Epoch 800/1000, Cost: 1.0147\n",
+      " and the parameters are [-3.11653977  4.20272404] -5.528472271104408 ;\n",
+      "Epoch 800/1000, Cost: 1.4204\n",
+      " and the parameters are [-3.11651104  4.20276332] -5.528483087196305 ;\n",
+      "Epoch 800/1000, Cost: 4.2971\n",
+      " and the parameters are [-3.11644374  4.20289237] -5.528441735017736 ;\n",
+      "Epoch 800/1000, Cost: 2.2537\n",
+      " and the parameters are [-3.11651113  4.20283829] -5.528458144819684 ;\n",
+      "Epoch 800/1000, Cost: 4.9336\n",
+      " and the parameters are [-3.11656392  4.2028011 ] -5.528473501294718 ;\n",
+      "Epoch 800/1000, Cost: 1.9389\n",
+      " and the parameters are [-3.11652249  4.20281974] -5.528504837369266 ;\n",
+      "Epoch 810/1000, Cost: 5.9270\n",
+      " and the parameters are [-3.12558849  4.21407219] -5.544473272924819 ;\n",
+      "Epoch 810/1000, Cost: 3.0272\n",
+      " and the parameters are [-3.1255731   4.21416849] -5.544432983087187 ;\n",
+      "Epoch 810/1000, Cost: 1.0522\n",
+      " and the parameters are [-3.12559057  4.21417535] -5.544441082750977 ;\n",
+      "Epoch 810/1000, Cost: 1.3350\n",
+      " and the parameters are [-3.12560441  4.21421173] -5.544432622549948 ;\n",
+      "Epoch 810/1000, Cost: 6.6590\n",
+      " and the parameters are [-3.12548773  4.21427329] -5.544424621099474 ;\n",
+      "Epoch 810/1000, Cost: 1.4965\n",
+      " and the parameters are [-3.12549334  4.21427622] -5.544444234317349 ;\n",
+      "Epoch 810/1000, Cost: 4.1292\n",
+      " and the parameters are [-3.12550249  4.21436084] -5.544405563528648 ;\n",
+      "Epoch 810/1000, Cost: 1.5364\n",
+      " and the parameters are [-3.12555469  4.21430781] -5.544436176711031 ;\n",
+      "Epoch 810/1000, Cost: 5.2964\n",
+      " and the parameters are [-3.12555054  4.21415534] -5.544559212382746 ;\n",
+      "Epoch 810/1000, Cost: 3.7358\n",
+      " and the parameters are [-3.12567176  4.21408727] -5.544567316213953 ;\n",
+      "Epoch 810/1000, Cost: 5.8798\n",
+      " and the parameters are [-3.12581638  4.21384682] -5.544670604881543 ;\n",
+      "Epoch 810/1000, Cost: 2.6002\n",
+      " and the parameters are [-3.12580694  4.21390078] -5.544660283695168 ;\n",
+      "Epoch 810/1000, Cost: 5.6046\n",
+      " and the parameters are [-3.12578041  4.21394985] -5.544632877991871 ;\n",
+      "Epoch 810/1000, Cost: 7.5298\n",
+      " and the parameters are [-3.12584108  4.21388103] -5.544644744695635 ;\n",
+      "Epoch 810/1000, Cost: 2.8089\n",
+      " and the parameters are [-3.12582428  4.21394597] -5.544636730388008 ;\n",
+      "Epoch 810/1000, Cost: 3.7907\n",
+      " and the parameters are [-3.12584498  4.21390128] -5.544678960609661 ;\n",
+      "Epoch 810/1000, Cost: 1.7348\n",
+      " and the parameters are [-3.12584092  4.2139381 ] -5.54467597399854 ;\n",
+      "Epoch 810/1000, Cost: 6.0420\n",
+      " and the parameters are [-3.12598833  4.21373763] -5.544750432993029 ;\n",
+      "Epoch 810/1000, Cost: 0.7894\n",
+      " and the parameters are [-3.12599322  4.21374994] -5.544757055395828 ;\n",
+      "Epoch 810/1000, Cost: 2.1382\n",
+      " and the parameters are [-3.12596848  4.21380592] -5.544745207541364 ;\n",
+      "Epoch 810/1000, Cost: 2.4175\n",
+      " and the parameters are [-3.12595246  4.21381685] -5.544776785569738 ;\n",
+      "Epoch 810/1000, Cost: 1.6661\n",
+      " and the parameters are [-3.12593827  4.21382369] -5.544806332255303 ;\n",
+      "Epoch 810/1000, Cost: 1.7987\n",
+      " and the parameters are [-3.12597827  4.21378947] -5.544835418910436 ;\n",
+      "Epoch 810/1000, Cost: 3.6183\n",
+      " and the parameters are [-3.12592537  4.21380364] -5.544876199839309 ;\n",
+      "Epoch 810/1000, Cost: 6.0861\n",
+      " and the parameters are [-3.12589321  4.21365741] -5.544999349778273 ;\n",
+      "Epoch 810/1000, Cost: 2.6039\n",
+      " and the parameters are [-3.12591546  4.21373058] -5.544947745437847 ;\n",
+      "Epoch 810/1000, Cost: 0.7599\n",
+      " and the parameters are [-3.12590811  4.21375395] -5.544951961295598 ;\n",
+      "Epoch 810/1000, Cost: 6.6142\n",
+      " and the parameters are [-3.12588982  4.21364954] -5.545024664841767 ;\n",
+      "Epoch 810/1000, Cost: 1.8479\n",
+      " and the parameters are [-3.12592649  4.21364026] -5.545037172405931 ;\n",
+      "Epoch 810/1000, Cost: 1.1880\n",
+      " and the parameters are [-3.12591059  4.21367369] -5.545043762849772 ;\n",
+      "Epoch 810/1000, Cost: 6.5970\n",
+      " and the parameters are [-3.12587699  4.21353533] -5.545170260211759 ;\n",
+      "Epoch 810/1000, Cost: 2.2932\n",
+      " and the parameters are [-3.12587607  4.21358051] -5.545155466016213 ;\n",
+      "Epoch 810/1000, Cost: 2.7316\n",
+      " and the parameters are [-3.12594634  4.21354832] -5.545158643540597 ;\n",
+      "Epoch 810/1000, Cost: 3.6179\n",
+      " and the parameters are [-3.12594089  4.21349998] -5.5452169611777 ;\n",
+      "Epoch 810/1000, Cost: 2.4345\n",
+      " and the parameters are [-3.12597152  4.21342444] -5.545269538113783 ;\n",
+      "Epoch 810/1000, Cost: 3.9571\n",
+      " and the parameters are [-3.125999    4.21338488] -5.545293960407025 ;\n",
+      "Epoch 810/1000, Cost: 6.3315\n",
+      " and the parameters are [-3.12598514  4.2134206 ] -5.545259975526955 ;\n",
+      "Epoch 810/1000, Cost: 0.5380\n",
+      " and the parameters are [-3.12597555  4.21345542] -5.5452545731660745 ;\n",
+      "Epoch 810/1000, Cost: 3.6016\n",
+      " and the parameters are [-3.12603197  4.21344334] -5.545237329974882 ;\n",
+      "Epoch 810/1000, Cost: 1.8773\n",
+      " and the parameters are [-3.12602417  4.21346388] -5.545250505954557 ;\n",
+      "Epoch 810/1000, Cost: 1.8718\n",
+      " and the parameters are [-3.12605056  4.21350148] -5.545237424757521 ;\n",
+      "Epoch 810/1000, Cost: 6.6717\n",
+      " and the parameters are [-3.12590885  4.21342088] -5.545375634517466 ;\n",
+      "Epoch 810/1000, Cost: 3.0904\n",
+      " and the parameters are [-3.12588668  4.21347867] -5.545372160086037 ;\n",
+      "Epoch 810/1000, Cost: 3.1608\n",
+      " and the parameters are [-3.12594006  4.21348243] -5.545367769576201 ;\n",
+      "Epoch 810/1000, Cost: 2.8815\n",
+      " and the parameters are [-3.12592666  4.21347743] -5.545392206428158 ;\n",
+      "Epoch 810/1000, Cost: 3.2261\n",
+      " and the parameters are [-3.12584883  4.21353324] -5.545417784712077 ;\n",
+      "Epoch 810/1000, Cost: 0.9058\n",
+      " and the parameters are [-3.12586074  4.21357616] -5.545397439058907 ;\n",
+      "Epoch 810/1000, Cost: 0.6553\n",
+      " and the parameters are [-3.1258577   4.21360821] -5.545391509054468 ;\n",
+      "Epoch 810/1000, Cost: 2.0619\n",
+      " and the parameters are [-3.12584527  4.21363075] -5.5454071657456385 ;\n",
+      "Epoch 810/1000, Cost: 3.7185\n",
+      " and the parameters are [-3.12589348  4.2136971 ] -5.545347995564075 ;\n",
+      "Epoch 810/1000, Cost: 2.2093\n",
+      " and the parameters are [-3.12593377  4.2136135 ] -5.545407029002657 ;\n",
+      "Epoch 810/1000, Cost: 3.9870\n",
+      " and the parameters are [-3.12594261  4.21361301] -5.545432212528516 ;\n",
+      "Epoch 810/1000, Cost: 4.0004\n",
+      " and the parameters are [-3.12589521  4.21370358] -5.545414975152356 ;\n",
+      "Epoch 810/1000, Cost: 2.8564\n",
+      " and the parameters are [-3.12586084  4.21375929] -5.54542190150954 ;\n",
+      "Epoch 810/1000, Cost: 3.3709\n",
+      " and the parameters are [-3.12589731  4.21368991] -5.5454575140870075 ;\n",
+      "Epoch 810/1000, Cost: 1.9490\n",
+      " and the parameters are [-3.12587518  4.21373363] -5.545460956713516 ;\n",
+      "Epoch 810/1000, Cost: 1.5869\n",
+      " and the parameters are [-3.12587609  4.21372232] -5.545496320082976 ;\n",
+      "Epoch 810/1000, Cost: 1.2097\n",
+      " and the parameters are [-3.12586168  4.21378072] -5.54548759808665 ;\n",
+      "Epoch 810/1000, Cost: 3.7664\n",
+      " and the parameters are [-3.12591886  4.2136766 ] -5.545552844130859 ;\n",
+      "Epoch 810/1000, Cost: 9.6199\n",
+      " and the parameters are [-3.1260182  4.213718 ] -5.545427216711213 ;\n",
+      "Epoch 810/1000, Cost: 1.5973\n",
+      " and the parameters are [-3.12604871  4.21373314] -5.545427428663823 ;\n",
+      "Epoch 810/1000, Cost: 1.9705\n",
+      " and the parameters are [-3.12603076  4.21370653] -5.545481741486698 ;\n",
+      "Epoch 810/1000, Cost: 2.3812\n",
+      " and the parameters are [-3.12590885  4.21377338] -5.5455094531242395 ;\n",
+      "Epoch 810/1000, Cost: 2.0744\n",
+      " and the parameters are [-3.12594749  4.21376928] -5.54551751983044 ;\n",
+      "Epoch 810/1000, Cost: 4.4385\n",
+      " and the parameters are [-3.1259884   4.21375011] -5.545496150311759 ;\n",
+      "Epoch 810/1000, Cost: 5.0261\n",
+      " and the parameters are [-3.12607064  4.21352993] -5.545623836618418 ;\n",
+      "Epoch 810/1000, Cost: 1.5468\n",
+      " and the parameters are [-3.12606191  4.21353874] -5.5456508989210045 ;\n",
+      "Epoch 810/1000, Cost: 2.3925\n",
+      " and the parameters are [-3.12608083  4.21359216] -5.545624121630599 ;\n",
+      "Epoch 810/1000, Cost: 2.2807\n",
+      " and the parameters are [-3.12617743  4.2134428 ] -5.545699751435652 ;\n",
+      "Epoch 810/1000, Cost: 1.1152\n",
+      " and the parameters are [-3.12614963  4.21343932] -5.545739806097088 ;\n",
+      "Epoch 810/1000, Cost: 2.5753\n",
+      " and the parameters are [-3.12619033  4.21340466] -5.545760817453574 ;\n",
+      "Epoch 810/1000, Cost: 2.1773\n",
+      " and the parameters are [-3.12620423  4.21337126] -5.545800965334876 ;\n",
+      "Epoch 810/1000, Cost: 4.1046\n",
+      " and the parameters are [-3.12628392  4.21329543] -5.545826630651486 ;\n",
+      "Epoch 810/1000, Cost: 2.7464\n",
+      " and the parameters are [-3.12623881  4.21342915] -5.545774401590174 ;\n",
+      "Epoch 810/1000, Cost: 1.2839\n",
+      " and the parameters are [-3.12623274  4.21348196] -5.545762249206417 ;\n",
+      "Epoch 810/1000, Cost: 2.7618\n",
+      " and the parameters are [-3.12621448  4.21351563] -5.545764318011834 ;\n",
+      "Epoch 810/1000, Cost: 2.0556\n",
+      " and the parameters are [-3.12621012  4.21350756] -5.54579570341786 ;\n",
+      "Epoch 810/1000, Cost: 2.2193\n",
+      " and the parameters are [-3.12620275  4.21350318] -5.545823027886509 ;\n",
+      "Epoch 810/1000, Cost: 2.6709\n",
+      " and the parameters are [-3.12622904  4.21349099] -5.5458431281451 ;\n",
+      "Epoch 810/1000, Cost: 4.7260\n",
+      " and the parameters are [-3.1262438   4.21341449] -5.545888829456648 ;\n",
+      "Epoch 810/1000, Cost: 1.5113\n",
+      " and the parameters are [-3.12622625  4.21349855] -5.545849556886188 ;\n",
+      "Epoch 810/1000, Cost: 1.9182\n",
+      " and the parameters are [-3.12620912  4.21345775] -5.545902227921587 ;\n",
+      "Epoch 810/1000, Cost: 1.6179\n",
+      " and the parameters are [-3.12622574  4.21350013] -5.545886742844404 ;\n",
+      "Epoch 810/1000, Cost: 5.2692\n",
+      " and the parameters are [-3.12629447  4.21335696] -5.545958858807145 ;\n",
+      "Epoch 810/1000, Cost: 3.5417\n",
+      " and the parameters are [-3.1262929   4.21342325] -5.5459263698962955 ;\n",
+      "Epoch 810/1000, Cost: 3.7354\n",
+      " and the parameters are [-3.12626593  4.21351974] -5.545883768189946 ;\n",
+      "Epoch 810/1000, Cost: 1.1880\n",
+      " and the parameters are [-3.12625994  4.21355369] -5.5458865194010505 ;\n",
+      "Epoch 810/1000, Cost: 2.5570\n",
+      " and the parameters are [-3.12622801  4.21361994] -5.5458757805375285 ;\n",
+      "Epoch 810/1000, Cost: 1.2372\n",
+      " and the parameters are [-3.12623953  4.21361622] -5.545892509885721 ;\n",
+      "Epoch 810/1000, Cost: 2.1053\n",
+      " and the parameters are [-3.12615443  4.21362743] -5.5459479413966895 ;\n",
+      "Epoch 810/1000, Cost: 3.3384\n",
+      " and the parameters are [-3.12614805  4.21372063] -5.5459099465795845 ;\n",
+      "Epoch 810/1000, Cost: 4.5069\n",
+      " and the parameters are [-3.12612667  4.2136424 ] -5.545991044703222 ;\n",
+      "Epoch 810/1000, Cost: 1.0454\n",
+      " and the parameters are [-3.12615955  4.2136277 ] -5.546002818721711 ;\n",
+      "Epoch 810/1000, Cost: 3.5409\n",
+      " and the parameters are [-3.12613885  4.21370475] -5.545965291403484 ;\n",
+      "Epoch 810/1000, Cost: 2.0203\n",
+      " and the parameters are [-3.12617746  4.21361653] -5.546031120524969 ;\n",
+      "Epoch 810/1000, Cost: 2.9122\n",
+      " and the parameters are [-3.12619815  4.21353082] -5.546104738760042 ;\n",
+      "Epoch 810/1000, Cost: 3.0142\n",
+      " and the parameters are [-3.12617867  4.21355473] -5.5461076682808645 ;\n",
+      "Epoch 810/1000, Cost: 1.1508\n",
+      " and the parameters are [-3.12620675  4.21358818] -5.5460887748347245 ;\n",
+      "Epoch 810/1000, Cost: 3.1191\n",
+      " and the parameters are [-3.12615203  4.21368892] -5.546070450474486 ;\n",
+      "Epoch 810/1000, Cost: 5.1786\n",
+      " and the parameters are [-3.12608637  4.21371202] -5.546109328975088 ;\n",
+      "Epoch 810/1000, Cost: 2.8896\n",
+      " and the parameters are [-3.12612001  4.21377604] -5.546069524712613 ;\n",
+      "Epoch 810/1000, Cost: 1.3666\n",
+      " and the parameters are [-3.1261241   4.21381089] -5.546064022343268 ;\n",
+      "Epoch 810/1000, Cost: 1.2380\n",
+      " and the parameters are [-3.12615481  4.21379547] -5.546078564457596 ;\n",
+      "Epoch 810/1000, Cost: 1.6488\n",
+      " and the parameters are [-3.12611656  4.21390263] -5.546041671156924 ;\n",
+      "Epoch 810/1000, Cost: 1.1756\n",
+      " and the parameters are [-3.12613322  4.21395384] -5.546013429762113 ;\n",
+      "Epoch 810/1000, Cost: 3.6024\n",
+      " and the parameters are [-3.12620001  4.21388296] -5.546056026737444 ;\n",
+      "Epoch 810/1000, Cost: 2.2459\n",
+      " and the parameters are [-3.12617493  4.21395553] -5.546028183985605 ;\n",
+      "Epoch 810/1000, Cost: 2.6627\n",
+      " and the parameters are [-3.12613145  4.21398495] -5.546050081836329 ;\n",
+      "Epoch 810/1000, Cost: 1.3649\n",
+      " and the parameters are [-3.12614876  4.21398252] -5.546068522919416 ;\n",
+      "Epoch 810/1000, Cost: 4.3899\n",
+      " and the parameters are [-3.12616718  4.21407568] -5.546013725742918 ;\n",
+      "Epoch 810/1000, Cost: 3.9725\n",
+      " and the parameters are [-3.12619744  4.21412169] -5.545984009739597 ;\n",
+      "Epoch 810/1000, Cost: 3.5439\n",
+      " and the parameters are [-3.1261428   4.21409564] -5.546057312146739 ;\n",
+      "Epoch 810/1000, Cost: 2.6517\n",
+      " and the parameters are [-3.12610058  4.21418084] -5.5460288218982186 ;\n",
+      "Epoch 810/1000, Cost: 5.2570\n",
+      " and the parameters are [-3.12618591  4.21398397] -5.5461280131318 ;\n",
+      "Epoch 810/1000, Cost: 4.9862\n",
+      " and the parameters are [-3.12626178  4.2139312 ] -5.546132390068133 ;\n",
+      "Epoch 810/1000, Cost: 4.1941\n",
+      " and the parameters are [-3.12633692  4.21391126] -5.54611778982895 ;\n",
+      "Epoch 810/1000, Cost: 3.0797\n",
+      " and the parameters are [-3.12635788  4.21384988] -5.546166652985607 ;\n",
+      "Epoch 810/1000, Cost: 2.5128\n",
+      " and the parameters are [-3.12641538  4.21371415] -5.546262401480243 ;\n",
+      "Epoch 810/1000, Cost: 1.9055\n",
+      " and the parameters are [-3.12643959  4.21376318] -5.546224378442958 ;\n",
+      "Epoch 810/1000, Cost: 3.9791\n",
+      " and the parameters are [-3.12643499  4.21378733] -5.546212708901685 ;\n",
+      "Epoch 810/1000, Cost: 2.4302\n",
+      " and the parameters are [-3.12641609  4.21374496] -5.5462817990971605 ;\n",
+      "Epoch 810/1000, Cost: 6.0511\n",
+      " and the parameters are [-3.12642234  4.2137092 ] -5.546293945712454 ;\n",
+      "Epoch 810/1000, Cost: 2.0180\n",
+      " and the parameters are [-3.12639637  4.21370738] -5.54632986778342 ;\n",
+      "Epoch 810/1000, Cost: 3.1680\n",
+      " and the parameters are [-3.12638075  4.2138152 ] -5.54625554514864 ;\n",
+      "Epoch 810/1000, Cost: 1.4352\n",
+      " and the parameters are [-3.12635059  4.21389436] -5.546242139278542 ;\n",
+      "Epoch 810/1000, Cost: 6.9318\n",
+      " and the parameters are [-3.12636625  4.21382982] -5.5462603342576156 ;\n",
+      "Epoch 810/1000, Cost: 4.1338\n",
+      " and the parameters are [-3.12629983  4.21387384] -5.546277625339402 ;\n",
+      "Epoch 810/1000, Cost: 2.1841\n",
+      " and the parameters are [-3.12631583  4.21389485] -5.5462774978230875 ;\n",
+      "Epoch 810/1000, Cost: 3.9403\n",
+      " and the parameters are [-3.12635894  4.21399136] -5.546223434956207 ;\n",
+      "Epoch 810/1000, Cost: 2.8780\n",
+      " and the parameters are [-3.126377  4.213941] -5.546270713651644 ;\n",
+      "Epoch 810/1000, Cost: 3.1235\n",
+      " and the parameters are [-3.12640491  4.21395508] -5.5462547898892 ;\n",
+      "Epoch 810/1000, Cost: 0.8579\n",
+      " and the parameters are [-3.12637892  4.21396169] -5.546283593173597 ;\n",
+      "Epoch 810/1000, Cost: 2.1672\n",
+      " and the parameters are [-3.12636017  4.21406503] -5.546237828822924 ;\n",
+      "Epoch 810/1000, Cost: 1.4000\n",
+      " and the parameters are [-3.12636629  4.21406416] -5.54625446067565 ;\n",
+      "Epoch 810/1000, Cost: 3.0408\n",
+      " and the parameters are [-3.12640956  4.21398848] -5.546299784056644 ;\n",
+      "Epoch 810/1000, Cost: 1.7803\n",
+      " and the parameters are [-3.12640158  4.2140706 ] -5.546262884310221 ;\n",
+      "Epoch 810/1000, Cost: 1.3234\n",
+      " and the parameters are [-3.12644619  4.21404874] -5.546280023504493 ;\n",
+      "Epoch 810/1000, Cost: 3.9730\n",
+      " and the parameters are [-3.12643859  4.21390038] -5.5464068563385105 ;\n",
+      "Epoch 810/1000, Cost: 4.8630\n",
+      " and the parameters are [-3.12641494  4.21375549] -5.546522277149492 ;\n",
+      "Epoch 810/1000, Cost: 0.8804\n",
+      " and the parameters are [-3.12640465  4.21377258] -5.546536433717976 ;\n",
+      "Epoch 810/1000, Cost: 2.0105\n",
+      " and the parameters are [-3.12639172  4.21379876] -5.5465553769281355 ;\n",
+      "Epoch 810/1000, Cost: 2.1771\n",
+      " and the parameters are [-3.12635824  4.21391721] -5.546498417701698 ;\n",
+      "Epoch 810/1000, Cost: 4.8763\n",
+      " and the parameters are [-3.12638448  4.21388115] -5.546514722161834 ;\n",
+      "Epoch 810/1000, Cost: 2.1816\n",
+      " and the parameters are [-3.12633017  4.21393494] -5.546528664413615 ;\n",
+      "Epoch 810/1000, Cost: 1.2866\n",
+      " and the parameters are [-3.12629082  4.21402433] -5.54650798917887 ;\n",
+      "Epoch 810/1000, Cost: 1.1166\n",
+      " and the parameters are [-3.12630316  4.21402309] -5.546519051064164 ;\n",
+      "Epoch 810/1000, Cost: 6.0910\n",
+      " and the parameters are [-3.12633461  4.21388202] -5.546601154586855 ;\n",
+      "Epoch 810/1000, Cost: 3.1378\n",
+      " and the parameters are [-3.12635004  4.21395115] -5.5465609793528685 ;\n",
+      "Epoch 810/1000, Cost: 2.2584\n",
+      " and the parameters are [-3.12635151  4.21407167] -5.5464847912001485 ;\n",
+      "Epoch 810/1000, Cost: 3.2177\n",
+      " and the parameters are [-3.12634323  4.21411109] -5.546481437051006 ;\n",
+      "Epoch 810/1000, Cost: 2.0967\n",
+      " and the parameters are [-3.12639183  4.21415143] -5.546451695852622 ;\n",
+      "Epoch 810/1000, Cost: 3.1895\n",
+      " and the parameters are [-3.126347    4.21415348] -5.546491446356595 ;\n",
+      "Epoch 810/1000, Cost: 5.6978\n",
+      " and the parameters are [-3.12633074  4.2140827 ] -5.546554203272589 ;\n",
+      "Epoch 810/1000, Cost: 2.9861\n",
+      " and the parameters are [-3.1263284   4.21412969] -5.546546668688807 ;\n",
+      "Epoch 810/1000, Cost: 6.3581\n",
+      " and the parameters are [-3.12630475  4.21418304] -5.546511050591061 ;\n",
+      "Epoch 810/1000, Cost: 2.6191\n",
+      " and the parameters are [-3.12630799  4.21424122] -5.54648567482736 ;\n",
+      "Epoch 810/1000, Cost: 0.5634\n",
+      " and the parameters are [-3.12631014  4.21427511] -5.546474088843765 ;\n",
+      "Epoch 810/1000, Cost: 3.2408\n",
+      " and the parameters are [-3.12632651  4.21424964] -5.546511208899851 ;\n",
+      "Epoch 810/1000, Cost: 4.2845\n",
+      " and the parameters are [-3.12632695  4.21433152] -5.546475100143977 ;\n",
+      "Epoch 810/1000, Cost: 3.5886\n",
+      " and the parameters are [-3.12634979  4.2144014 ] -5.546431898486333 ;\n",
+      "Epoch 810/1000, Cost: 6.7864\n",
+      " and the parameters are [-3.12637631  4.21423967] -5.546546394513733 ;\n",
+      "Epoch 810/1000, Cost: 3.3736\n",
+      " and the parameters are [-3.12628861  4.214436  ] -5.546466405862979 ;\n",
+      "Epoch 810/1000, Cost: 6.8163\n",
+      " and the parameters are [-3.12627276  4.21450328] -5.546418171614632 ;\n",
+      "Epoch 810/1000, Cost: 2.9572\n",
+      " and the parameters are [-3.1263246   4.21440201] -5.546479273763427 ;\n",
+      "Epoch 810/1000, Cost: 4.9333\n",
+      " and the parameters are [-3.12637597  4.21434469] -5.546505815086196 ;\n",
+      "Epoch 810/1000, Cost: 1.8253\n",
+      " and the parameters are [-3.12640293  4.21434197] -5.546518788670786 ;\n",
+      "Epoch 810/1000, Cost: 0.6742\n",
+      " and the parameters are [-3.1263998   4.21435755] -5.546528720864407 ;\n",
+      "Epoch 810/1000, Cost: 5.5489\n",
+      " and the parameters are [-3.12634039  4.21440374] -5.546509200576344 ;\n",
+      "Epoch 810/1000, Cost: 1.0599\n",
+      " and the parameters are [-3.12634538  4.21440643] -5.54652739373929 ;\n",
+      "Epoch 810/1000, Cost: 3.6393\n",
+      " and the parameters are [-3.12627627  4.21438106] -5.546612815328462 ;\n",
+      "Epoch 810/1000, Cost: 1.7648\n",
+      " and the parameters are [-3.12629401  4.21443127] -5.5465938473530905 ;\n",
+      "Epoch 810/1000, Cost: 2.5446\n",
+      " and the parameters are [-3.12627257  4.21440266] -5.54664196977064 ;\n",
+      "Epoch 810/1000, Cost: 1.1763\n",
+      " and the parameters are [-3.12628866  4.21439716] -5.5466569405266535 ;\n",
+      "Epoch 810/1000, Cost: 5.1939\n",
+      " and the parameters are [-3.12629412  4.21449735] -5.546573290848839 ;\n",
+      "Epoch 810/1000, Cost: 3.7598\n",
+      " and the parameters are [-3.12626164  4.21448049] -5.54663393733709 ;\n",
+      "Epoch 810/1000, Cost: 1.8658\n",
+      " and the parameters are [-3.12632406  4.21450186] -5.546606100725534 ;\n",
+      "Epoch 810/1000, Cost: 1.3952\n",
+      " and the parameters are [-3.12629411  4.21457492] -5.5465895493606885 ;\n",
+      "Epoch 810/1000, Cost: 1.9040\n",
+      " and the parameters are [-3.1263113   4.21465508] -5.5465462823763385 ;\n",
+      "Epoch 810/1000, Cost: 0.8703\n",
+      " and the parameters are [-3.12630602  4.21469538] -5.5465398809996085 ;\n",
+      "Epoch 810/1000, Cost: 3.8474\n",
+      " and the parameters are [-3.1263486   4.21480361] -5.546457270707906 ;\n",
+      "Epoch 810/1000, Cost: 6.0877\n",
+      " and the parameters are [-3.12629649  4.21488116] -5.546424895148503 ;\n",
+      "Epoch 810/1000, Cost: 5.1831\n",
+      " and the parameters are [-3.12632912  4.21472957] -5.546510836471327 ;\n",
+      "Epoch 810/1000, Cost: 3.7579\n",
+      " and the parameters are [-3.12624296  4.21483186] -5.546487725884576 ;\n",
+      "Epoch 810/1000, Cost: 3.4757\n",
+      " and the parameters are [-3.12631225  4.21490751] -5.546406373044477 ;\n",
+      "Epoch 810/1000, Cost: 1.9522\n",
+      " and the parameters are [-3.12631992  4.21490444] -5.546433847779391 ;\n",
+      "Epoch 810/1000, Cost: 2.1406\n",
+      " and the parameters are [-3.12633528  4.21495228] -5.546417923041792 ;\n",
+      "Epoch 810/1000, Cost: 1.3650\n",
+      " and the parameters are [-3.12634183  4.21500303] -5.546396045341674 ;\n",
+      "Epoch 810/1000, Cost: 1.3315\n",
+      " and the parameters are [-3.12635147  4.2150343 ] -5.546391435531948 ;\n",
+      "Epoch 810/1000, Cost: 2.7830\n",
+      " and the parameters are [-3.126439    4.21494152] -5.546438386630709 ;\n",
+      "Epoch 810/1000, Cost: 3.2811\n",
+      " and the parameters are [-3.12639845  4.2150544 ] -5.546408145304737 ;\n",
+      "Epoch 810/1000, Cost: 2.7083\n",
+      " and the parameters are [-3.12640527  4.21511819] -5.5463825813627 ;\n",
+      "Epoch 810/1000, Cost: 2.2651\n",
+      " and the parameters are [-3.12641332  4.21514424] -5.546374520282016 ;\n",
+      "Epoch 810/1000, Cost: 1.1422\n",
+      " and the parameters are [-3.12641401  4.21519686] -5.546357974822763 ;\n",
+      "Epoch 810/1000, Cost: 2.4038\n",
+      " and the parameters are [-3.12644977  4.21519592] -5.546366960454284 ;\n",
+      "Epoch 810/1000, Cost: 4.7969\n",
+      " and the parameters are [-3.12645154  4.21521002] -5.5463593180058055 ;\n",
+      "Epoch 810/1000, Cost: 4.8357\n",
+      " and the parameters are [-3.12652554  4.21522659] -5.546323675010342 ;\n",
+      "Epoch 810/1000, Cost: 2.7047\n",
+      " and the parameters are [-3.12658349  4.21523841] -5.546305708330445 ;\n",
+      "Epoch 810/1000, Cost: 2.3231\n",
+      " and the parameters are [-3.1265787   4.21519911] -5.5463516106334305 ;\n",
+      "Epoch 810/1000, Cost: 7.3236\n",
+      " and the parameters are [-3.12648151  4.21534365] -5.546259736886515 ;\n",
+      "Epoch 810/1000, Cost: 1.2041\n",
+      " and the parameters are [-3.12649505  4.21534138] -5.546275302122591 ;\n",
+      "Epoch 820/1000, Cost: 8.9856\n",
+      " and the parameters are [-3.13540223  4.22614961] -5.562278589153986 ;\n",
+      "Epoch 820/1000, Cost: 3.1881\n",
+      " and the parameters are [-3.13542126  4.22622296] -5.562241123989624 ;\n",
+      "Epoch 820/1000, Cost: 1.2212\n",
+      " and the parameters are [-3.13540569  4.22622404] -5.562271959962667 ;\n",
+      "Epoch 820/1000, Cost: 2.1099\n",
+      " and the parameters are [-3.13539725  4.22616099] -5.562346839098213 ;\n",
+      "Epoch 820/1000, Cost: 3.0928\n",
+      " and the parameters are [-3.13538235  4.22619448] -5.562350556438214 ;\n",
+      "Epoch 820/1000, Cost: 1.7444\n",
+      " and the parameters are [-3.13544223  4.22619325] -5.562340736153001 ;\n",
+      "Epoch 820/1000, Cost: 2.6286\n",
+      " and the parameters are [-3.13550245  4.22615202] -5.562362105638737 ;\n",
+      "Epoch 820/1000, Cost: 0.8562\n",
+      " and the parameters are [-3.13549814  4.2261815 ] -5.562360650202178 ;\n",
+      "Epoch 820/1000, Cost: 3.6191\n",
+      " and the parameters are [-3.13547236  4.22623386] -5.562357616758352 ;\n",
+      "Epoch 820/1000, Cost: 4.9163\n",
+      " and the parameters are [-3.13547305  4.22622276] -5.562353116347195 ;\n",
+      "Epoch 820/1000, Cost: 4.6862\n",
+      " and the parameters are [-3.13544436  4.22614807] -5.562428196668723 ;\n",
+      "Epoch 820/1000, Cost: 4.2389\n",
+      " and the parameters are [-3.13539267  4.2261723 ] -5.562450779225431 ;\n",
+      "Epoch 820/1000, Cost: 3.1374\n",
+      " and the parameters are [-3.13538345  4.22623352] -5.562420352750991 ;\n",
+      "Epoch 820/1000, Cost: 2.0596\n",
+      " and the parameters are [-3.13540263  4.22620821] -5.562446630008718 ;\n",
+      "Epoch 820/1000, Cost: 2.3625\n",
+      " and the parameters are [-3.13536948  4.22624274] -5.562463991977281 ;\n",
+      "Epoch 820/1000, Cost: 3.4073\n",
+      " and the parameters are [-3.13542268  4.22630396] -5.562395588424173 ;\n",
+      "Epoch 820/1000, Cost: 2.3264\n",
+      " and the parameters are [-3.13541927  4.22634389] -5.562402367596005 ;\n",
+      "Epoch 820/1000, Cost: 2.0122\n",
+      " and the parameters are [-3.13540075  4.22640674] -5.5623979005204625 ;\n",
+      "Epoch 820/1000, Cost: 5.0152\n",
+      " and the parameters are [-3.13545426  4.22638396] -5.562397658542834 ;\n",
+      "Epoch 820/1000, Cost: 0.9495\n",
+      " and the parameters are [-3.13544834  4.22637227] -5.562426170843233 ;\n",
+      "Epoch 820/1000, Cost: 1.7849\n",
+      " and the parameters are [-3.13546415  4.22644634] -5.562381618452252 ;\n",
+      "Epoch 820/1000, Cost: 3.2827\n",
+      " and the parameters are [-3.13548144  4.22645345] -5.562392694196809 ;\n",
+      "Epoch 820/1000, Cost: 3.8110\n",
+      " and the parameters are [-3.13559326  4.22641863] -5.562372638699751 ;\n",
+      "Epoch 820/1000, Cost: 4.8198\n",
+      " and the parameters are [-3.13568195  4.22626608] -5.562433347634301 ;\n",
+      "Epoch 820/1000, Cost: 3.1831\n",
+      " and the parameters are [-3.13563086  4.22634166] -5.562412417784307 ;\n",
+      "Epoch 820/1000, Cost: 5.8952\n",
+      " and the parameters are [-3.13558927  4.22619404] -5.562539847372764 ;\n",
+      "Epoch 820/1000, Cost: 3.1440\n",
+      " and the parameters are [-3.13560169  4.22621554] -5.5625337686973015 ;\n",
+      "Epoch 820/1000, Cost: 3.9932\n",
+      " and the parameters are [-3.13559454  4.22610114] -5.5626417642330335 ;\n",
+      "Epoch 820/1000, Cost: 3.2888\n",
+      " and the parameters are [-3.13562052  4.2261874 ] -5.562578809173682 ;\n",
+      "Epoch 820/1000, Cost: 3.1673\n",
+      " and the parameters are [-3.1356333   4.22623677] -5.5625549016739635 ;\n",
+      "Epoch 820/1000, Cost: 2.6512\n",
+      " and the parameters are [-3.13563081  4.22626964] -5.562555455568318 ;\n",
+      "Epoch 820/1000, Cost: 3.9690\n",
+      " and the parameters are [-3.13560936  4.22619402] -5.562619247757144 ;\n",
+      "Epoch 820/1000, Cost: 1.0891\n",
+      " and the parameters are [-3.13558734  4.22627924] -5.562590539340075 ;\n",
+      "Epoch 820/1000, Cost: 2.5025\n",
+      " and the parameters are [-3.13563587  4.22624795] -5.562625334880267 ;\n",
+      "Epoch 820/1000, Cost: 2.1407\n",
+      " and the parameters are [-3.13569696  4.22620292] -5.562641671472874 ;\n",
+      "Epoch 820/1000, Cost: 2.3454\n",
+      " and the parameters are [-3.13573004  4.22612488] -5.562691229614685 ;\n",
+      "Epoch 820/1000, Cost: 2.2164\n",
+      " and the parameters are [-3.1357689   4.22616051] -5.562669859551778 ;\n",
+      "Epoch 820/1000, Cost: 1.7657\n",
+      " and the parameters are [-3.13576044  4.22621341] -5.5626588955447165 ;\n",
+      "Epoch 820/1000, Cost: 3.3398\n",
+      " and the parameters are [-3.13577656  4.22621496] -5.56265398218256 ;\n",
+      "Epoch 820/1000, Cost: 6.0319\n",
+      " and the parameters are [-3.13575861  4.22630229] -5.562592862580794 ;\n",
+      "Epoch 820/1000, Cost: 0.9170\n",
+      " and the parameters are [-3.13576026  4.22630796] -5.562608096499825 ;\n",
+      "Epoch 820/1000, Cost: 0.9441\n",
+      " and the parameters are [-3.13577553  4.22630173] -5.562624066349689 ;\n",
+      "Epoch 820/1000, Cost: 2.7159\n",
+      " and the parameters are [-3.13577414  4.22631942] -5.562636157625368 ;\n",
+      "Epoch 820/1000, Cost: 1.6035\n",
+      " and the parameters are [-3.13577231  4.22635501] -5.562626216059858 ;\n",
+      "Epoch 820/1000, Cost: 5.0894\n",
+      " and the parameters are [-3.13580995  4.22637122] -5.5625963896181885 ;\n",
+      "Epoch 820/1000, Cost: 2.5560\n",
+      " and the parameters are [-3.13569983  4.22644305] -5.562627853327637 ;\n",
+      "Epoch 820/1000, Cost: 1.8115\n",
+      " and the parameters are [-3.13566008  4.22657286] -5.562575274342795 ;\n",
+      "Epoch 820/1000, Cost: 2.8940\n",
+      " and the parameters are [-3.13565577  4.22662992] -5.5625652154761855 ;\n",
+      "Epoch 820/1000, Cost: 2.2056\n",
+      " and the parameters are [-3.13562687  4.22661229] -5.562611878256022 ;\n",
+      "Epoch 820/1000, Cost: 2.2673\n",
+      " and the parameters are [-3.13563686  4.2265397 ] -5.562686863290473 ;\n",
+      "Epoch 820/1000, Cost: 1.5855\n",
+      " and the parameters are [-3.13559835  4.22655817] -5.56271422493534 ;\n",
+      "Epoch 820/1000, Cost: 5.1564\n",
+      " and the parameters are [-3.13562689  4.22663478] -5.562666981651679 ;\n",
+      "Epoch 820/1000, Cost: 0.9496\n",
+      " and the parameters are [-3.13562591  4.22664219] -5.562685724118728 ;\n",
+      "Epoch 820/1000, Cost: 1.3935\n",
+      " and the parameters are [-3.13561578  4.2266824 ] -5.562685020881692 ;\n",
+      "Epoch 820/1000, Cost: 3.2703\n",
+      " and the parameters are [-3.1355565   4.22685252] -5.562607160420618 ;\n",
+      "Epoch 820/1000, Cost: 6.2019\n",
+      " and the parameters are [-3.13554257  4.22697153] -5.562513788388858 ;\n",
+      "Epoch 820/1000, Cost: 0.6285\n",
+      " and the parameters are [-3.13554727  4.22697774] -5.562523563513199 ;\n",
+      "Epoch 820/1000, Cost: 4.3442\n",
+      " and the parameters are [-3.13566182  4.22699136] -5.562467797717131 ;\n",
+      "Epoch 820/1000, Cost: 3.6668\n",
+      " and the parameters are [-3.13563327  4.22704965] -5.562445760948845 ;\n",
+      "Epoch 820/1000, Cost: 2.1123\n",
+      " and the parameters are [-3.13565674  4.22705891] -5.562449741767799 ;\n",
+      "Epoch 820/1000, Cost: 2.6354\n",
+      " and the parameters are [-3.13570936  4.22704097] -5.562448134363711 ;\n",
+      "Epoch 820/1000, Cost: 2.6527\n",
+      " and the parameters are [-3.13569665  4.2271044 ] -5.562422258127013 ;\n",
+      "Epoch 820/1000, Cost: 4.8256\n",
+      " and the parameters are [-3.13573446  4.22702402] -5.562461377130802 ;\n",
+      "Epoch 820/1000, Cost: 4.1160\n",
+      " and the parameters are [-3.1357336   4.22701691] -5.562470093970642 ;\n",
+      "Epoch 820/1000, Cost: 1.3252\n",
+      " and the parameters are [-3.13577204  4.2270248 ] -5.562465093351899 ;\n",
+      "Epoch 820/1000, Cost: 1.0567\n",
+      " and the parameters are [-3.13575099  4.227064  ] -5.562469573136001 ;\n",
+      "Epoch 820/1000, Cost: 3.7006\n",
+      " and the parameters are [-3.13572311  4.22709062] -5.562478531579251 ;\n",
+      "Epoch 820/1000, Cost: 3.3483\n",
+      " and the parameters are [-3.13570614  4.2271694 ] -5.562444691083157 ;\n",
+      "Epoch 820/1000, Cost: 5.1594\n",
+      " and the parameters are [-3.13585587  4.22697721] -5.562538803485518 ;\n",
+      "Epoch 820/1000, Cost: 1.7589\n",
+      " and the parameters are [-3.13586219  4.22695198] -5.562577600854039 ;\n",
+      "Epoch 820/1000, Cost: 5.0738\n",
+      " and the parameters are [-3.1358427   4.22687931] -5.562636119333693 ;\n",
+      "Epoch 820/1000, Cost: 7.7761\n",
+      " and the parameters are [-3.1357937   4.22688967] -5.562619112283134 ;\n",
+      "Epoch 820/1000, Cost: 2.6616\n",
+      " and the parameters are [-3.13580363  4.22683633] -5.562673109497655 ;\n",
+      "Epoch 820/1000, Cost: 1.5743\n",
+      " and the parameters are [-3.13578198  4.22692458] -5.562628535384119 ;\n",
+      "Epoch 820/1000, Cost: 2.3554\n",
+      " and the parameters are [-3.13576264  4.22702975] -5.562581580469672 ;\n",
+      "Epoch 820/1000, Cost: 9.4025\n",
+      " and the parameters are [-3.13570434  4.2270614 ] -5.5625742046449265 ;\n",
+      "Epoch 820/1000, Cost: 1.2226\n",
+      " and the parameters are [-3.13569064  4.22707317] -5.562592828320516 ;\n",
+      "Epoch 820/1000, Cost: 2.2093\n",
+      " and the parameters are [-3.13569955  4.22706558] -5.5626164448989135 ;\n",
+      "Epoch 820/1000, Cost: 2.5383\n",
+      " and the parameters are [-3.13571104  4.22706377] -5.562640282794611 ;\n",
+      "Epoch 820/1000, Cost: 1.5181\n",
+      " and the parameters are [-3.13571781  4.22709954] -5.562624845968073 ;\n",
+      "Epoch 820/1000, Cost: 1.2884\n",
+      " and the parameters are [-3.1357385   4.22710271] -5.562637002415362 ;\n",
+      "Epoch 820/1000, Cost: 2.5062\n",
+      " and the parameters are [-3.13575787  4.22710193] -5.562645712165691 ;\n",
+      "Epoch 820/1000, Cost: 2.1909\n",
+      " and the parameters are [-3.13579326  4.22710928] -5.5626385246171735 ;\n",
+      "Epoch 820/1000, Cost: 1.7256\n",
+      " and the parameters are [-3.13581887  4.22708926] -5.562665484896233 ;\n",
+      "Epoch 820/1000, Cost: 5.1936\n",
+      " and the parameters are [-3.13589314  4.2270409 ] -5.562668954277123 ;\n",
+      "Epoch 820/1000, Cost: 5.4557\n",
+      " and the parameters are [-3.13586628  4.22692434] -5.5627734890729705 ;\n",
+      "Epoch 820/1000, Cost: 4.1111\n",
+      " and the parameters are [-3.1358744  4.2268875] -5.5627903174939135 ;\n",
+      "Epoch 820/1000, Cost: 4.1168\n",
+      " and the parameters are [-3.13582697  4.22689473] -5.562822290757195 ;\n",
+      "Epoch 820/1000, Cost: 3.2194\n",
+      " and the parameters are [-3.13581388  4.22697247] -5.56278518626974 ;\n",
+      "Epoch 820/1000, Cost: 2.8842\n",
+      " and the parameters are [-3.13584148  4.22704378] -5.562723195431867 ;\n",
+      "Epoch 820/1000, Cost: 1.7184\n",
+      " and the parameters are [-3.13582542  4.22714119] -5.5626764233545485 ;\n",
+      "Epoch 820/1000, Cost: 1.1124\n",
+      " and the parameters are [-3.13583435  4.22717018] -5.562674260598758 ;\n",
+      "Epoch 820/1000, Cost: 1.1702\n",
+      " and the parameters are [-3.13583618  4.22718198] -5.562686825904304 ;\n",
+      "Epoch 820/1000, Cost: 2.4058\n",
+      " and the parameters are [-3.13585578  4.2272111 ] -5.5626820745402386 ;\n",
+      "Epoch 820/1000, Cost: 2.3407\n",
+      " and the parameters are [-3.13585577  4.2272627 ] -5.562673681832338 ;\n",
+      "Epoch 820/1000, Cost: 2.4751\n",
+      " and the parameters are [-3.13588091  4.22729648] -5.5626564869145 ;\n",
+      "Epoch 820/1000, Cost: 8.4016\n",
+      " and the parameters are [-3.13594849  4.22719049] -5.562673465034199 ;\n",
+      "Epoch 820/1000, Cost: 2.1308\n",
+      " and the parameters are [-3.13597757  4.22716924] -5.562696018574009 ;\n",
+      "Epoch 820/1000, Cost: 1.6947\n",
+      " and the parameters are [-3.13601303  4.22713495] -5.562720680491243 ;\n",
+      "Epoch 820/1000, Cost: 1.6422\n",
+      " and the parameters are [-3.13596753  4.22724508] -5.56267877138457 ;\n",
+      "Epoch 820/1000, Cost: 1.8871\n",
+      " and the parameters are [-3.13591435  4.22734556] -5.56264977639869 ;\n",
+      "Epoch 820/1000, Cost: 4.5590\n",
+      " and the parameters are [-3.13588676  4.22740605] -5.562605747135325 ;\n",
+      "Epoch 820/1000, Cost: 2.0099\n",
+      " and the parameters are [-3.13588587  4.22740035] -5.562629446807899 ;\n",
+      "Epoch 820/1000, Cost: 3.1958\n",
+      " and the parameters are [-3.13592731  4.22728554] -5.562705509731367 ;\n",
+      "Epoch 820/1000, Cost: 4.2435\n",
+      " and the parameters are [-3.13592971  4.22730037] -5.562716732160279 ;\n",
+      "Epoch 820/1000, Cost: 1.7214\n",
+      " and the parameters are [-3.13588183  4.2273711 ] -5.562714416630829 ;\n",
+      "Epoch 820/1000, Cost: 3.1711\n",
+      " and the parameters are [-3.13585119  4.22729757] -5.562807316234847 ;\n",
+      "Epoch 820/1000, Cost: 5.5102\n",
+      " and the parameters are [-3.13587104  4.2272621 ] -5.5628367045697145 ;\n",
+      "Epoch 820/1000, Cost: 6.7050\n",
+      " and the parameters are [-3.13598385  4.22709951] -5.562904829986102 ;\n",
+      "Epoch 820/1000, Cost: 1.0108\n",
+      " and the parameters are [-3.13598893  4.22712733] -5.56290397550991 ;\n",
+      "Epoch 820/1000, Cost: 2.6275\n",
+      " and the parameters are [-3.1360201   4.22714358] -5.562900044580701 ;\n",
+      "Epoch 820/1000, Cost: 4.2575\n",
+      " and the parameters are [-3.13594754  4.22714117] -5.562970864916463 ;\n",
+      "Epoch 820/1000, Cost: 3.3511\n",
+      " and the parameters are [-3.13592455  4.22723097] -5.562931259411363 ;\n",
+      "Epoch 820/1000, Cost: 4.0772\n",
+      " and the parameters are [-3.13589985  4.22744026] -5.562803530270203 ;\n",
+      "Epoch 820/1000, Cost: 2.0245\n",
+      " and the parameters are [-3.13595225  4.22748412] -5.562762510108187 ;\n",
+      "Epoch 820/1000, Cost: 5.2005\n",
+      " and the parameters are [-3.13593652  4.22762983] -5.562668148134199 ;\n",
+      "Epoch 820/1000, Cost: 1.7186\n",
+      " and the parameters are [-3.13596934  4.22762489] -5.562685033538575 ;\n",
+      "Epoch 820/1000, Cost: 2.7339\n",
+      " and the parameters are [-3.13600423  4.2276004 ] -5.562707039686593 ;\n",
+      "Epoch 820/1000, Cost: 3.1758\n",
+      " and the parameters are [-3.13603539  4.22754315] -5.562738230651194 ;\n",
+      "Epoch 820/1000, Cost: 2.4787\n",
+      " and the parameters are [-3.13600144  4.2275439 ] -5.562776253342687 ;\n",
+      "Epoch 820/1000, Cost: 3.1274\n",
+      " and the parameters are [-3.13609553  4.2274816 ] -5.56278780829118 ;\n",
+      "Epoch 820/1000, Cost: 1.7563\n",
+      " and the parameters are [-3.13607124  4.22750418] -5.562809156573516 ;\n",
+      "Epoch 820/1000, Cost: 2.5488\n",
+      " and the parameters are [-3.13606689  4.22746436] -5.562870824535777 ;\n",
+      "Epoch 820/1000, Cost: 0.8402\n",
+      " and the parameters are [-3.13604539  4.22750983] -5.562867756306388 ;\n",
+      "Epoch 820/1000, Cost: 5.8952\n",
+      " and the parameters are [-3.13596122  4.2273522 ] -5.563023849180459 ;\n",
+      "Epoch 820/1000, Cost: 1.5839\n",
+      " and the parameters are [-3.13591879  4.22745731] -5.562983844566713 ;\n",
+      "Epoch 820/1000, Cost: 3.3737\n",
+      " and the parameters are [-3.13591409  4.22748918] -5.562989687226255 ;\n",
+      "Epoch 820/1000, Cost: 1.6968\n",
+      " and the parameters are [-3.13586765  4.22752533] -5.563007543306685 ;\n",
+      "Epoch 820/1000, Cost: 4.6607\n",
+      " and the parameters are [-3.13599605  4.22747347] -5.562989453156588 ;\n",
+      "Epoch 820/1000, Cost: 6.6884\n",
+      " and the parameters are [-3.13607387  4.22752237] -5.562897692349479 ;\n",
+      "Epoch 820/1000, Cost: 1.4283\n",
+      " and the parameters are [-3.13608746  4.22749313] -5.562937511394621 ;\n",
+      "Epoch 820/1000, Cost: 3.2507\n",
+      " and the parameters are [-3.13611762  4.22743946] -5.562979757177893 ;\n",
+      "Epoch 820/1000, Cost: 1.7592\n",
+      " and the parameters are [-3.13607799  4.22748645] -5.56299601313775 ;\n",
+      "Epoch 820/1000, Cost: 8.2850\n",
+      " and the parameters are [-3.13608189  4.22750119] -5.562968382441929 ;\n",
+      "Epoch 820/1000, Cost: 3.3878\n",
+      " and the parameters are [-3.13609978  4.22753692] -5.562950726040816 ;\n",
+      "Epoch 820/1000, Cost: 1.9681\n",
+      " and the parameters are [-3.13612858  4.22748642] -5.562995271168894 ;\n",
+      "Epoch 820/1000, Cost: 1.1133\n",
+      " and the parameters are [-3.13614977  4.22749636] -5.562999386907367 ;\n",
+      "Epoch 820/1000, Cost: 2.1646\n",
+      " and the parameters are [-3.136206    4.22748554] -5.563003616402483 ;\n",
+      "Epoch 820/1000, Cost: 2.2290\n",
+      " and the parameters are [-3.1362148   4.22746439] -5.563035158223922 ;\n",
+      "Epoch 820/1000, Cost: 2.3014\n",
+      " and the parameters are [-3.13621667  4.22752148] -5.563018192810852 ;\n",
+      "Epoch 820/1000, Cost: 1.6539\n",
+      " and the parameters are [-3.13624801  4.22750919] -5.563034615185057 ;\n",
+      "Epoch 820/1000, Cost: 4.0209\n",
+      " and the parameters are [-3.13625137  4.22743699] -5.563088543824344 ;\n",
+      "Epoch 820/1000, Cost: 3.3011\n",
+      " and the parameters are [-3.13627982  4.22731794] -5.563174666841086 ;\n",
+      "Epoch 820/1000, Cost: 1.1414\n",
+      " and the parameters are [-3.13630836  4.22730849] -5.563188113120207 ;\n",
+      "Epoch 820/1000, Cost: 4.0542\n",
+      " and the parameters are [-3.1362754   4.22737203] -5.563150243152029 ;\n",
+      "Epoch 820/1000, Cost: 4.9972\n",
+      " and the parameters are [-3.13630106  4.22726619] -5.5632162177859135 ;\n",
+      "Epoch 820/1000, Cost: 4.1771\n",
+      " and the parameters are [-3.13634931  4.22726574] -5.563210994390489 ;\n",
+      "Epoch 820/1000, Cost: 3.4872\n",
+      " and the parameters are [-3.13648791  4.22714297] -5.563241353261577 ;\n",
+      "Epoch 820/1000, Cost: 6.7208\n",
+      " and the parameters are [-3.13640409  4.22724931] -5.563212044953176 ;\n",
+      "Epoch 820/1000, Cost: 2.0419\n",
+      " and the parameters are [-3.13648341  4.22721972] -5.563214377851834 ;\n",
+      "Epoch 820/1000, Cost: 9.2488\n",
+      " and the parameters are [-3.13645057  4.22705009] -5.563340291169617 ;\n",
+      "Epoch 820/1000, Cost: 2.7029\n",
+      " and the parameters are [-3.13650397  4.22692924] -5.5634214739282 ;\n",
+      "Epoch 820/1000, Cost: 4.6350\n",
+      " and the parameters are [-3.13641434  4.22692427] -5.563467591898865 ;\n",
+      "Epoch 820/1000, Cost: 2.5408\n",
+      " and the parameters are [-3.13642103  4.2270462 ] -5.563402732015339 ;\n",
+      "Epoch 820/1000, Cost: 2.9253\n",
+      " and the parameters are [-3.13640622  4.22702489] -5.563442780260804 ;\n",
+      "Epoch 820/1000, Cost: 4.7615\n",
+      " and the parameters are [-3.1363374   4.22721016] -5.563354177100516 ;\n",
+      "Epoch 820/1000, Cost: 4.7352\n",
+      " and the parameters are [-3.13633164  4.22717787] -5.563392911410794 ;\n",
+      "Epoch 820/1000, Cost: 3.6353\n",
+      " and the parameters are [-3.1363827   4.22719339] -5.563373395659082 ;\n",
+      "Epoch 820/1000, Cost: 1.7980\n",
+      " and the parameters are [-3.13635124  4.22720704] -5.563403889534142 ;\n",
+      "Epoch 820/1000, Cost: 0.7496\n",
+      " and the parameters are [-3.13634152  4.22723472] -5.563407988991323 ;\n",
+      "Epoch 820/1000, Cost: 3.3414\n",
+      " and the parameters are [-3.13631136  4.227151  ] -5.563503712538573 ;\n",
+      "Epoch 820/1000, Cost: 4.4824\n",
+      " and the parameters are [-3.13630029  4.22701969] -5.56362558545329 ;\n",
+      "Epoch 820/1000, Cost: 1.6686\n",
+      " and the parameters are [-3.13629216  4.22705054] -5.5636325528283415 ;\n",
+      "Epoch 820/1000, Cost: 2.6795\n",
+      " and the parameters are [-3.13628818  4.2269778 ] -5.563705681559335 ;\n",
+      "Epoch 820/1000, Cost: 0.9654\n",
+      " and the parameters are [-3.13627868  4.22696261] -5.563738979640423 ;\n",
+      "Epoch 820/1000, Cost: 4.9701\n",
+      " and the parameters are [-3.13625867  4.22694571] -5.563788475168592 ;\n",
+      "Epoch 820/1000, Cost: 1.1253\n",
+      " and the parameters are [-3.13622985  4.22702058] -5.563772004162401 ;\n",
+      "Epoch 820/1000, Cost: 1.7111\n",
+      " and the parameters are [-3.1362456   4.22704738] -5.563771534243322 ;\n",
+      "Epoch 820/1000, Cost: 3.6209\n",
+      " and the parameters are [-3.1362011   4.22708407] -5.563780505217939 ;\n",
+      "Epoch 820/1000, Cost: 1.1485\n",
+      " and the parameters are [-3.136191    4.22710989] -5.563790861413399 ;\n",
+      "Epoch 820/1000, Cost: 1.1831\n",
+      " and the parameters are [-3.1362008   4.22711129] -5.563807306079844 ;\n",
+      "Epoch 820/1000, Cost: 0.7792\n",
+      " and the parameters are [-3.13620958  4.22711825] -5.56381827092409 ;\n",
+      "Epoch 820/1000, Cost: 0.8871\n",
+      " and the parameters are [-3.13621111  4.22715322] -5.563812855329648 ;\n",
+      "Epoch 820/1000, Cost: 3.4214\n",
+      " and the parameters are [-3.13618949  4.22711888] -5.563871460338298 ;\n",
+      "Epoch 820/1000, Cost: 4.3436\n",
+      " and the parameters are [-3.13628332  4.22698195] -5.563935158471751 ;\n",
+      "Epoch 820/1000, Cost: 2.2499\n",
+      " and the parameters are [-3.13627319  4.22705243] -5.563914867795016 ;\n",
+      "Epoch 820/1000, Cost: 1.7653\n",
+      " and the parameters are [-3.1362953   4.22708787] -5.563895248690518 ;\n",
+      "Epoch 820/1000, Cost: 1.2934\n",
+      " and the parameters are [-3.13630191  4.2270694 ] -5.563929657596849 ;\n",
+      "Epoch 820/1000, Cost: 3.1156\n",
+      " and the parameters are [-3.13625633  4.22708737] -5.563971850606321 ;\n",
+      "Epoch 820/1000, Cost: 3.8362\n",
+      " and the parameters are [-3.13632022  4.22712267] -5.563902987734125 ;\n",
+      "Epoch 820/1000, Cost: 0.9626\n",
+      " and the parameters are [-3.13634395  4.22710963] -5.563919859193436 ;\n",
+      "Epoch 820/1000, Cost: 2.3276\n",
+      " and the parameters are [-3.13634031  4.22718038] -5.563883230402808 ;\n",
+      "Epoch 820/1000, Cost: 1.8636\n",
+      " and the parameters are [-3.1363302   4.22730319] -5.563817697809442 ;\n",
+      "Epoch 820/1000, Cost: 2.2970\n",
+      " and the parameters are [-3.13631506  4.22733821] -5.563817342837482 ;\n",
+      "Epoch 820/1000, Cost: 2.6114\n",
+      " and the parameters are [-3.13629831  4.22727169] -5.563885593807021 ;\n",
+      "Epoch 820/1000, Cost: 4.3535\n",
+      " and the parameters are [-3.13626574  4.2274028 ] -5.563814915123114 ;\n",
+      "Epoch 820/1000, Cost: 2.8460\n",
+      " and the parameters are [-3.13627956  4.22747226] -5.563780552395528 ;\n",
+      "Epoch 820/1000, Cost: 1.5276\n",
+      " and the parameters are [-3.13626306  4.22744347] -5.563831105595241 ;\n",
+      "Epoch 820/1000, Cost: 6.1277\n",
+      " and the parameters are [-3.13632957  4.22749876] -5.563759275659757 ;\n",
+      "Epoch 820/1000, Cost: 2.6515\n",
+      " and the parameters are [-3.13631697  4.22747294] -5.563809977666363 ;\n",
+      "Epoch 820/1000, Cost: 3.7888\n",
+      " and the parameters are [-3.13628354  4.22752491] -5.563808941552049 ;\n",
+      "Epoch 820/1000, Cost: 1.5636\n",
+      " and the parameters are [-3.1363195   4.22749314] -5.5638296498114155 ;\n",
+      "Epoch 820/1000, Cost: 2.4580\n",
+      " and the parameters are [-3.13632977  4.22753609] -5.5638220592797145 ;\n",
+      "Epoch 820/1000, Cost: 1.8520\n",
+      " and the parameters are [-3.13638754  4.22756116] -5.563796968177647 ;\n",
+      "Epoch 820/1000, Cost: 3.1227\n",
+      " and the parameters are [-3.1363861   4.22754574] -5.563826370431848 ;\n",
+      "Epoch 820/1000, Cost: 4.8911\n",
+      " and the parameters are [-3.13637932  4.22759196] -5.563797294136443 ;\n",
+      "Epoch 820/1000, Cost: 3.0021\n",
+      " and the parameters are [-3.13645385  4.22760611] -5.56376597783675 ;\n",
+      "Epoch 820/1000, Cost: 3.0103\n",
+      " and the parameters are [-3.13645498  4.22775367] -5.563688480807916 ;\n",
+      "Epoch 820/1000, Cost: 4.1174\n",
+      " and the parameters are [-3.13641597  4.22767562] -5.563791142929023 ;\n",
+      "Epoch 820/1000, Cost: 2.2599\n",
+      " and the parameters are [-3.13635709  4.22768214] -5.563843714936671 ;\n",
+      "Epoch 830/1000, Cost: 1.0783\n",
+      " and the parameters are [-3.14518769  4.23860197] -5.579509049060855 ;\n",
+      "Epoch 830/1000, Cost: 5.4304\n",
+      " and the parameters are [-3.14522     4.23844967] -5.579598378821222 ;\n",
+      "Epoch 830/1000, Cost: 0.9176\n",
+      " and the parameters are [-3.14520603  4.23849539] -5.579592231580445 ;\n",
+      "Epoch 830/1000, Cost: 1.9902\n",
+      " and the parameters are [-3.14519966  4.23851862] -5.579598584110432 ;\n",
+      "Epoch 830/1000, Cost: 1.6669\n",
+      " and the parameters are [-3.14519162  4.23850047] -5.579642630314749 ;\n",
+      "Epoch 830/1000, Cost: 0.7907\n",
+      " and the parameters are [-3.14519128  4.23853351] -5.579637568419012 ;\n",
+      "Epoch 830/1000, Cost: 1.4009\n",
+      " and the parameters are [-3.14517913  4.23854797] -5.579656730487297 ;\n",
+      "Epoch 830/1000, Cost: 1.8077\n",
+      " and the parameters are [-3.14515543  4.2386139 ] -5.579648094499037 ;\n",
+      "Epoch 830/1000, Cost: 9.0370\n",
+      " and the parameters are [-3.14520799  4.23865121] -5.579577390896897 ;\n",
+      "Epoch 830/1000, Cost: 2.5152\n",
+      " and the parameters are [-3.14522402  4.23873553] -5.5795136381712656 ;\n",
+      "Epoch 830/1000, Cost: 6.7797\n",
+      " and the parameters are [-3.14531409  4.23861708] -5.579538787650884 ;\n",
+      "Epoch 830/1000, Cost: 2.1704\n",
+      " and the parameters are [-3.14532822  4.23860196] -5.579567433271871 ;\n",
+      "Epoch 830/1000, Cost: 0.6089\n",
+      " and the parameters are [-3.14531648  4.23862113] -5.579575788704696 ;\n",
+      "Epoch 830/1000, Cost: 2.6733\n",
+      " and the parameters are [-3.14538085  4.23853533] -5.579603102730337 ;\n",
+      "Epoch 830/1000, Cost: 3.0676\n",
+      " and the parameters are [-3.14539247  4.23856142] -5.579599356158428 ;\n",
+      "Epoch 830/1000, Cost: 3.3342\n",
+      " and the parameters are [-3.14531294  4.23860635] -5.579635957130568 ;\n",
+      "Epoch 830/1000, Cost: 1.1527\n",
+      " and the parameters are [-3.14531844  4.23861333] -5.579656231179945 ;\n",
+      "Epoch 830/1000, Cost: 2.5911\n",
+      " and the parameters are [-3.14534683  4.23858966] -5.5796864126794405 ;\n",
+      "Epoch 830/1000, Cost: 2.3616\n",
+      " and the parameters are [-3.14535548  4.23859129] -5.579700687118629 ;\n",
+      "Epoch 830/1000, Cost: 0.8849\n",
+      " and the parameters are [-3.14536866  4.23863257] -5.579678390358761 ;\n",
+      "Epoch 830/1000, Cost: 0.6462\n",
+      " and the parameters are [-3.14535967  4.23866348] -5.579675411464411 ;\n",
+      "Epoch 830/1000, Cost: 4.5619\n",
+      " and the parameters are [-3.14540716  4.23858991] -5.579722070028178 ;\n",
+      "Epoch 830/1000, Cost: 3.4873\n",
+      " and the parameters are [-3.14542688  4.23869049] -5.5796480802950486 ;\n",
+      "Epoch 830/1000, Cost: 1.2797\n",
+      " and the parameters are [-3.14542396  4.23866253] -5.579695077222141 ;\n",
+      "Epoch 830/1000, Cost: 2.4666\n",
+      " and the parameters are [-3.14542208  4.23867259] -5.579698348734249 ;\n",
+      "Epoch 830/1000, Cost: 2.3070\n",
+      " and the parameters are [-3.14545881  4.23862502] -5.579742296157783 ;\n",
+      "Epoch 830/1000, Cost: 2.0114\n",
+      " and the parameters are [-3.14546366  4.23872528] -5.579688581011561 ;\n",
+      "Epoch 830/1000, Cost: 2.9572\n",
+      " and the parameters are [-3.14548232  4.23872388] -5.579699412000804 ;\n",
+      "Epoch 830/1000, Cost: 1.5586\n",
+      " and the parameters are [-3.14548542  4.23872303] -5.5797246269879945 ;\n",
+      "Epoch 830/1000, Cost: 2.4329\n",
+      " and the parameters are [-3.14557126  4.23870479] -5.579710946731387 ;\n",
+      "Epoch 830/1000, Cost: 7.1471\n",
+      " and the parameters are [-3.14554836  4.23874876] -5.579679520969603 ;\n",
+      "Epoch 830/1000, Cost: 3.7993\n",
+      " and the parameters are [-3.14562755  4.2386785 ] -5.579699305910515 ;\n",
+      "Epoch 830/1000, Cost: 1.6763\n",
+      " and the parameters are [-3.14566476  4.2386508 ] -5.579723215396863 ;\n",
+      "Epoch 830/1000, Cost: 7.8393\n",
+      " and the parameters are [-3.1457335   4.23846739] -5.579813545646225 ;\n",
+      "Epoch 830/1000, Cost: 3.2568\n",
+      " and the parameters are [-3.14561303  4.23850782] -5.579868457852935 ;\n",
+      "Epoch 830/1000, Cost: 5.2490\n",
+      " and the parameters are [-3.14559895  4.23844512] -5.5799260250158085 ;\n",
+      "Epoch 830/1000, Cost: 1.2378\n",
+      " and the parameters are [-3.14561474  4.23841686] -5.579959429505422 ;\n",
+      "Epoch 830/1000, Cost: 1.9325\n",
+      " and the parameters are [-3.14555835  4.238445  ] -5.579984041623324 ;\n",
+      "Epoch 830/1000, Cost: 3.5641\n",
+      " and the parameters are [-3.14561815  4.23831796] -5.580064867663356 ;\n",
+      "Epoch 830/1000, Cost: 4.5804\n",
+      " and the parameters are [-3.14569615  4.23820583] -5.580130276375623 ;\n",
+      "Epoch 830/1000, Cost: 3.9063\n",
+      " and the parameters are [-3.14569458  4.23831938] -5.580051323894305 ;\n",
+      "Epoch 830/1000, Cost: 4.3882\n",
+      " and the parameters are [-3.14571709  4.23832243] -5.580021136638059 ;\n",
+      "Epoch 830/1000, Cost: 2.2723\n",
+      " and the parameters are [-3.1457479   4.23823986] -5.58009029051558 ;\n",
+      "Epoch 830/1000, Cost: 3.0908\n",
+      " and the parameters are [-3.14580892  4.23831213] -5.580016176041373 ;\n",
+      "Epoch 830/1000, Cost: 7.4689\n",
+      " and the parameters are [-3.14585131  4.23810895] -5.580131040775779 ;\n",
+      "Epoch 830/1000, Cost: 0.7325\n",
+      " and the parameters are [-3.14586336  4.23812176] -5.5801336146673695 ;\n",
+      "Epoch 830/1000, Cost: 1.3403\n",
+      " and the parameters are [-3.14589239  4.23817626] -5.5800965591902685 ;\n",
+      "Epoch 830/1000, Cost: 1.3883\n",
+      " and the parameters are [-3.14588144  4.23821835] -5.580092846811712 ;\n",
+      "Epoch 830/1000, Cost: 2.0623\n",
+      " and the parameters are [-3.14585701  4.23824501] -5.580102469665052 ;\n",
+      "Epoch 830/1000, Cost: 3.8117\n",
+      " and the parameters are [-3.14582939  4.23814043] -5.580214408358115 ;\n",
+      "Epoch 830/1000, Cost: 2.8487\n",
+      " and the parameters are [-3.14586038  4.23814318] -5.580201310057132 ;\n",
+      "Epoch 830/1000, Cost: 1.5770\n",
+      " and the parameters are [-3.14588218  4.23821527] -5.580158318258141 ;\n",
+      "Epoch 830/1000, Cost: 3.1289\n",
+      " and the parameters are [-3.14591316  4.23820482] -5.580146543185706 ;\n",
+      "Epoch 830/1000, Cost: 2.1229\n",
+      " and the parameters are [-3.14593309  4.23823826] -5.5801348888775255 ;\n",
+      "Epoch 830/1000, Cost: 1.3587\n",
+      " and the parameters are [-3.14590479  4.23831506] -5.580117900849776 ;\n",
+      "Epoch 830/1000, Cost: 4.6006\n",
+      " and the parameters are [-3.14588918  4.23840477] -5.580061311984377 ;\n",
+      "Epoch 830/1000, Cost: 2.4960\n",
+      " and the parameters are [-3.14591736  4.23832927] -5.580121406578652 ;\n",
+      "Epoch 830/1000, Cost: 3.2232\n",
+      " and the parameters are [-3.14604328  4.2383273 ] -5.580059503020013 ;\n",
+      "Epoch 830/1000, Cost: 2.0805\n",
+      " and the parameters are [-3.14603258  4.2383411 ] -5.580079709441195 ;\n",
+      "Epoch 830/1000, Cost: 3.3905\n",
+      " and the parameters are [-3.14597099  4.23834262] -5.580124933051673 ;\n",
+      "Epoch 830/1000, Cost: 3.8005\n",
+      " and the parameters are [-3.14593513  4.23832703] -5.580168954128151 ;\n",
+      "Epoch 830/1000, Cost: 3.4302\n",
+      " and the parameters are [-3.14602531  4.23826681] -5.580185501384181 ;\n",
+      "Epoch 830/1000, Cost: 1.8492\n",
+      " and the parameters are [-3.146049    4.23835056] -5.580135005084252 ;\n",
+      "Epoch 830/1000, Cost: 2.7005\n",
+      " and the parameters are [-3.14608858  4.23839636] -5.580098703360555 ;\n",
+      "Epoch 830/1000, Cost: 5.0660\n",
+      " and the parameters are [-3.14607119  4.23835812] -5.580138745534218 ;\n",
+      "Epoch 830/1000, Cost: 3.5126\n",
+      " and the parameters are [-3.14611391  4.23837879] -5.5801072511511665 ;\n",
+      "Epoch 830/1000, Cost: 2.1979\n",
+      " and the parameters are [-3.14610338  4.23833342] -5.580162359221247 ;\n",
+      "Epoch 830/1000, Cost: 2.1523\n",
+      " and the parameters are [-3.14615386  4.23834353] -5.5801440970371505 ;\n",
+      "Epoch 830/1000, Cost: 6.6092\n",
+      " and the parameters are [-3.14620123  4.23822734] -5.580195385788213 ;\n",
+      "Epoch 830/1000, Cost: 1.2394\n",
+      " and the parameters are [-3.14618504  4.23823007] -5.580224179563582 ;\n",
+      "Epoch 830/1000, Cost: 3.1112\n",
+      " and the parameters are [-3.14616113  4.23825598] -5.580228403921027 ;\n",
+      "Epoch 830/1000, Cost: 2.0301\n",
+      " and the parameters are [-3.14622902  4.23826001] -5.580201033866666 ;\n",
+      "Epoch 830/1000, Cost: 4.5337\n",
+      " and the parameters are [-3.14631413  4.23819302] -5.580217541697021 ;\n",
+      "Epoch 830/1000, Cost: 8.4555\n",
+      " and the parameters are [-3.14622909  4.23832585] -5.580131496347722 ;\n",
+      "Epoch 830/1000, Cost: 4.3960\n",
+      " and the parameters are [-3.14619764  4.23828984] -5.580173591258403 ;\n",
+      "Epoch 830/1000, Cost: 3.8444\n",
+      " and the parameters are [-3.14623542  4.23829999] -5.580156389186311 ;\n",
+      "Epoch 830/1000, Cost: 4.1413\n",
+      " and the parameters are [-3.14615837  4.23835782] -5.580165378288481 ;\n",
+      "Epoch 830/1000, Cost: 0.8017\n",
+      " and the parameters are [-3.1461664   4.23840012] -5.580147375132848 ;\n",
+      "Epoch 830/1000, Cost: 4.3252\n",
+      " and the parameters are [-3.14620618  4.23828951] -5.580232336248615 ;\n",
+      "Epoch 830/1000, Cost: 2.1138\n",
+      " and the parameters are [-3.14618823  4.2382674 ] -5.58028721760477 ;\n",
+      "Epoch 830/1000, Cost: 5.3276\n",
+      " and the parameters are [-3.14611325  4.23831044] -5.580291447807073 ;\n",
+      "Epoch 830/1000, Cost: 2.5935\n",
+      " and the parameters are [-3.14604935  4.23846498] -5.580233365152314 ;\n",
+      "Epoch 830/1000, Cost: 2.1079\n",
+      " and the parameters are [-3.14607718  4.238435  ] -5.580260732813772 ;\n",
+      "Epoch 830/1000, Cost: 1.9409\n",
+      " and the parameters are [-3.14607594  4.23848626] -5.580237512260586 ;\n",
+      "Epoch 830/1000, Cost: 3.0962\n",
+      " and the parameters are [-3.14605574  4.23852559] -5.580247264875439 ;\n",
+      "Epoch 830/1000, Cost: 1.9017\n",
+      " and the parameters are [-3.14600825  4.23855742] -5.580278233661963 ;\n",
+      "Epoch 830/1000, Cost: 2.1423\n",
+      " and the parameters are [-3.14600639  4.23849708] -5.5803577891439975 ;\n",
+      "Epoch 830/1000, Cost: 2.2894\n",
+      " and the parameters are [-3.14602289  4.23854596] -5.580332505392708 ;\n",
+      "Epoch 830/1000, Cost: 2.9870\n",
+      " and the parameters are [-3.14599948  4.23851215] -5.580387121370491 ;\n",
+      "Epoch 830/1000, Cost: 1.5972\n",
+      " and the parameters are [-3.1459801   4.23854147] -5.580394034629436 ;\n",
+      "Epoch 830/1000, Cost: 3.0160\n",
+      " and the parameters are [-3.14603079  4.23848398] -5.580428719887242 ;\n",
+      "Epoch 830/1000, Cost: 3.2226\n",
+      " and the parameters are [-3.14597624  4.23853361] -5.580453579744894 ;\n",
+      "Epoch 830/1000, Cost: 4.7166\n",
+      " and the parameters are [-3.14600249  4.23851504] -5.580462872808343 ;\n",
+      "Epoch 830/1000, Cost: 1.2945\n",
+      " and the parameters are [-3.14603027  4.23852533] -5.580460865792225 ;\n",
+      "Epoch 830/1000, Cost: 3.5550\n",
+      " and the parameters are [-3.14602833  4.23857687] -5.58044998238893 ;\n",
+      "Epoch 830/1000, Cost: 7.0603\n",
+      " and the parameters are [-3.14604297  4.23851109] -5.580491642035499 ;\n",
+      "Epoch 830/1000, Cost: 5.9084\n",
+      " and the parameters are [-3.14598548  4.23851107] -5.580528385201481 ;\n",
+      "Epoch 830/1000, Cost: 4.7755\n",
+      " and the parameters are [-3.14595408  4.23847698] -5.58056372414179 ;\n",
+      "Epoch 830/1000, Cost: 3.1959\n",
+      " and the parameters are [-3.14600743  4.23834609] -5.580657910447629 ;\n",
+      "Epoch 830/1000, Cost: 6.7111\n",
+      " and the parameters are [-3.14597332  4.23840358] -5.580618022881158 ;\n",
+      "Epoch 830/1000, Cost: 2.3879\n",
+      " and the parameters are [-3.14599691  4.23843757] -5.5806010167934925 ;\n",
+      "Epoch 830/1000, Cost: 3.4512\n",
+      " and the parameters are [-3.14596287  4.23843805] -5.580625036637587 ;\n",
+      "Epoch 830/1000, Cost: 2.5046\n",
+      " and the parameters are [-3.14594229  4.23842324] -5.580673278979284 ;\n",
+      "Epoch 830/1000, Cost: 4.3703\n",
+      " and the parameters are [-3.1460294  4.2383029] -5.58074774585763 ;\n",
+      "Epoch 830/1000, Cost: 2.4762\n",
+      " and the parameters are [-3.14604759  4.23826443] -5.580780245188573 ;\n",
+      "Epoch 830/1000, Cost: 3.0715\n",
+      " and the parameters are [-3.1460327   4.23822012] -5.580840653355603 ;\n",
+      "Epoch 830/1000, Cost: 2.2191\n",
+      " and the parameters are [-3.14605564  4.23818273] -5.580870597021643 ;\n",
+      "Epoch 830/1000, Cost: 2.3934\n",
+      " and the parameters are [-3.14601626  4.23814848] -5.580929692166033 ;\n",
+      "Epoch 830/1000, Cost: 5.6438\n",
+      " and the parameters are [-3.14607585  4.23818552] -5.580860090769506 ;\n",
+      "Epoch 830/1000, Cost: 4.3576\n",
+      " and the parameters are [-3.14610483  4.23810856] -5.580926663438012 ;\n",
+      "Epoch 830/1000, Cost: 3.8525\n",
+      " and the parameters are [-3.14618674  4.23806658] -5.580913266024536 ;\n",
+      "Epoch 830/1000, Cost: 2.4723\n",
+      " and the parameters are [-3.14620587  4.23811605] -5.58090237324159 ;\n",
+      "Epoch 830/1000, Cost: 3.3695\n",
+      " and the parameters are [-3.14622048  4.23808099] -5.58094560132202 ;\n",
+      "Epoch 830/1000, Cost: 2.1265\n",
+      " and the parameters are [-3.14621145  4.23810023] -5.58094892521958 ;\n",
+      "Epoch 830/1000, Cost: 3.7185\n",
+      " and the parameters are [-3.14620123  4.23803515] -5.581015159648387 ;\n",
+      "Epoch 830/1000, Cost: 2.1646\n",
+      " and the parameters are [-3.14623888  4.23806995] -5.580986429020694 ;\n",
+      "Epoch 830/1000, Cost: 3.0188\n",
+      " and the parameters are [-3.14623329  4.23812263] -5.580982099573736 ;\n",
+      "Epoch 830/1000, Cost: 1.8397\n",
+      " and the parameters are [-3.14623523  4.23820915] -5.580937535281702 ;\n",
+      "Epoch 830/1000, Cost: 3.5282\n",
+      " and the parameters are [-3.14623285  4.2382645 ] -5.580917887053042 ;\n",
+      "Epoch 830/1000, Cost: 2.1309\n",
+      " and the parameters are [-3.14620475  4.23834281] -5.580892832214345 ;\n",
+      "Epoch 830/1000, Cost: 3.3277\n",
+      " and the parameters are [-3.14617336  4.2383799 ] -5.580900518391599 ;\n",
+      "Epoch 830/1000, Cost: 2.5810\n",
+      " and the parameters are [-3.14618766  4.2383876 ] -5.580908889583222 ;\n",
+      "Epoch 830/1000, Cost: 5.7193\n",
+      " and the parameters are [-3.14611564  4.23853688] -5.580836512109443 ;\n",
+      "Epoch 830/1000, Cost: 0.6672\n",
+      " and the parameters are [-3.1461322   4.23855591] -5.580831563839799 ;\n",
+      "Epoch 830/1000, Cost: 2.5792\n",
+      " and the parameters are [-3.14610824  4.23855429] -5.580872480651201 ;\n",
+      "Epoch 830/1000, Cost: 4.5323\n",
+      " and the parameters are [-3.14614079  4.23856858] -5.580863322048432 ;\n",
+      "Epoch 830/1000, Cost: 1.7290\n",
+      " and the parameters are [-3.14613757  4.23863329] -5.5808393374889755 ;\n",
+      "Epoch 830/1000, Cost: 5.6023\n",
+      " and the parameters are [-3.14625004  4.23856312] -5.580824903407905 ;\n",
+      "Epoch 830/1000, Cost: 3.7070\n",
+      " and the parameters are [-3.14630597  4.23855942] -5.580818192885334 ;\n",
+      "Epoch 830/1000, Cost: 4.0681\n",
+      " and the parameters are [-3.14642384  4.23846442] -5.580837278530226 ;\n",
+      "Epoch 830/1000, Cost: 2.9916\n",
+      " and the parameters are [-3.14640661  4.23854456] -5.580803237388793 ;\n",
+      "Epoch 830/1000, Cost: 2.0170\n",
+      " and the parameters are [-3.1464131   4.23855434] -5.580820104774297 ;\n",
+      "Epoch 830/1000, Cost: 2.7070\n",
+      " and the parameters are [-3.1463939   4.23857849] -5.580832852819079 ;\n",
+      "Epoch 830/1000, Cost: 1.8445\n",
+      " and the parameters are [-3.14640264  4.23865353] -5.580797716786216 ;\n",
+      "Epoch 830/1000, Cost: 2.7940\n",
+      " and the parameters are [-3.14641743  4.23863677] -5.580832487964801 ;\n",
+      "Epoch 830/1000, Cost: 1.4129\n",
+      " and the parameters are [-3.1464028   4.23865245] -5.580853526664006 ;\n",
+      "Epoch 830/1000, Cost: 3.3365\n",
+      " and the parameters are [-3.14640003  4.2386397 ] -5.580881332114291 ;\n",
+      "Epoch 830/1000, Cost: 7.0533\n",
+      " and the parameters are [-3.14639166  4.2386052 ] -5.580890091642687 ;\n",
+      "Epoch 830/1000, Cost: 0.6063\n",
+      " and the parameters are [-3.14638797  4.23861029] -5.580905715842466 ;\n",
+      "Epoch 830/1000, Cost: 0.7159\n",
+      " and the parameters are [-3.14638451  4.23864786] -5.580898959427933 ;\n",
+      "Epoch 830/1000, Cost: 4.4501\n",
+      " and the parameters are [-3.14639321  4.23877591] -5.580820690274226 ;\n",
+      "Epoch 830/1000, Cost: 2.4872\n",
+      " and the parameters are [-3.14635842  4.23885237] -5.580807223871012 ;\n",
+      "Epoch 830/1000, Cost: 0.8623\n",
+      " and the parameters are [-3.14636323  4.23888383] -5.580800751917677 ;\n",
+      "Epoch 830/1000, Cost: 2.6831\n",
+      " and the parameters are [-3.14637396  4.23892199] -5.580771455971224 ;\n",
+      "Epoch 830/1000, Cost: 1.3380\n",
+      " and the parameters are [-3.14636342  4.23897423] -5.580762950845571 ;\n",
+      "Epoch 830/1000, Cost: 2.8282\n",
+      " and the parameters are [-3.14632192  4.23904017] -5.580765870882355 ;\n",
+      "Epoch 830/1000, Cost: 3.3831\n",
+      " and the parameters are [-3.14631341  4.23900496] -5.580817527965338 ;\n",
+      "Epoch 830/1000, Cost: 1.7916\n",
+      " and the parameters are [-3.14637315  4.2389548 ] -5.5808508676386 ;\n",
+      "Epoch 830/1000, Cost: 4.4404\n",
+      " and the parameters are [-3.14630146  4.23904931] -5.5808234913663926 ;\n",
+      "Epoch 830/1000, Cost: 1.0762\n",
+      " and the parameters are [-3.14629681  4.23909467] -5.580818299450686 ;\n",
+      "Epoch 830/1000, Cost: 1.1489\n",
+      " and the parameters are [-3.14633273  4.23907581] -5.5808345779379 ;\n",
+      "Epoch 830/1000, Cost: 4.4946\n",
+      " and the parameters are [-3.14630998  4.2390683 ] -5.580852030084512 ;\n",
+      "Epoch 830/1000, Cost: 3.1172\n",
+      " and the parameters are [-3.14633102  4.23902165] -5.580897664003963 ;\n",
+      "Epoch 830/1000, Cost: 2.4268\n",
+      " and the parameters are [-3.14628024  4.23909726] -5.580889193995436 ;\n",
+      "Epoch 830/1000, Cost: 4.6080\n",
+      " and the parameters are [-3.14626322  4.23920568] -5.5808217945757335 ;\n",
+      "Epoch 830/1000, Cost: 1.0451\n",
+      " and the parameters are [-3.14625187  4.23926609] -5.5808051567123425 ;\n",
+      "Epoch 830/1000, Cost: 4.4841\n",
+      " and the parameters are [-3.14626931  4.23937059] -5.580746626218909 ;\n",
+      "Epoch 830/1000, Cost: 2.4713\n",
+      " and the parameters are [-3.14624197  4.23942741] -5.580745614533109 ;\n",
+      "Epoch 830/1000, Cost: 2.4290\n",
+      " and the parameters are [-3.14624105  4.23944831] -5.580759502938918 ;\n",
+      "Epoch 830/1000, Cost: 7.6014\n",
+      " and the parameters are [-3.14625223  4.2393953 ] -5.580774214656695 ;\n",
+      "Epoch 830/1000, Cost: 2.1047\n",
+      " and the parameters are [-3.14626653  4.23934894] -5.580823367336612 ;\n",
+      "Epoch 830/1000, Cost: 0.7427\n",
+      " and the parameters are [-3.14628009  4.23937332] -5.580816721638671 ;\n",
+      "Epoch 830/1000, Cost: 1.4848\n",
+      " and the parameters are [-3.14632435  4.23931416] -5.580858695685013 ;\n",
+      "Epoch 830/1000, Cost: 4.5744\n",
+      " and the parameters are [-3.14637835  4.23917875] -5.580943584203667 ;\n",
+      "Epoch 830/1000, Cost: 5.6361\n",
+      " and the parameters are [-3.1463952   4.23919396] -5.580923841035292 ;\n",
+      "Epoch 830/1000, Cost: 2.6072\n",
+      " and the parameters are [-3.14640731  4.23921865] -5.580937278571202 ;\n",
+      "Epoch 830/1000, Cost: 3.3318\n",
+      " and the parameters are [-3.14640606  4.23925498] -5.580929786956724 ;\n",
+      "Epoch 830/1000, Cost: 4.6801\n",
+      " and the parameters are [-3.14639532  4.23931029] -5.580894408829289 ;\n",
+      "Epoch 830/1000, Cost: 0.7106\n",
+      " and the parameters are [-3.14640151  4.23934012] -5.580884657989814 ;\n",
+      "Epoch 830/1000, Cost: 3.5971\n",
+      " and the parameters are [-3.1463246   4.23942715] -5.580878539435826 ;\n",
+      "Epoch 830/1000, Cost: 3.0165\n",
+      " and the parameters are [-3.14632282  4.23951728] -5.580830261834995 ;\n",
+      "Epoch 830/1000, Cost: 2.9556\n",
+      " and the parameters are [-3.1462378   4.23963158] -5.58081327458892 ;\n",
+      "Epoch 830/1000, Cost: 4.4236\n",
+      " and the parameters are [-3.14619335  4.23966784] -5.580814235889833 ;\n",
+      "Epoch 830/1000, Cost: 3.3020\n",
+      " and the parameters are [-3.14612957  4.23970422] -5.580848135555365 ;\n",
+      "Epoch 830/1000, Cost: 2.5200\n",
+      " and the parameters are [-3.14616387  4.23964516] -5.580905672525979 ;\n",
+      "Epoch 830/1000, Cost: 4.3608\n",
+      " and the parameters are [-3.14614108  4.23961826] -5.580950386197726 ;\n",
+      "Epoch 830/1000, Cost: 4.4921\n",
+      " and the parameters are [-3.14612888  4.23958977] -5.580993436535981 ;\n",
+      "Epoch 830/1000, Cost: 6.0531\n",
+      " and the parameters are [-3.14603676  4.23962039] -5.581017785784073 ;\n",
+      "Epoch 830/1000, Cost: 1.2107\n",
+      " and the parameters are [-3.14603804  4.23964127] -5.581023670033804 ;\n",
+      "Epoch 830/1000, Cost: 4.8607\n",
+      " and the parameters are [-3.14607905  4.23962792] -5.581029856585157 ;\n",
+      "Epoch 830/1000, Cost: 1.2549\n",
+      " and the parameters are [-3.14613458  4.23956465] -5.581066526559955 ;\n",
+      "Epoch 830/1000, Cost: 2.7391\n",
+      " and the parameters are [-3.14617682  4.23946185] -5.581127506735101 ;\n",
+      "Epoch 830/1000, Cost: 1.5280\n",
+      " and the parameters are [-3.14613565  4.23947316] -5.5811686921803005 ;\n",
+      "Epoch 830/1000, Cost: 4.2865\n",
+      " and the parameters are [-3.14621896  4.23949155] -5.581115440764672 ;\n",
+      "Epoch 830/1000, Cost: 1.7502\n",
+      " and the parameters are [-3.14622693  4.23943618] -5.581171060968938 ;\n",
+      "Epoch 830/1000, Cost: 3.6002\n",
+      " and the parameters are [-3.1462787  4.239536 ] -5.581094576955312 ;\n",
+      "Epoch 830/1000, Cost: 2.7354\n",
+      " and the parameters are [-3.14626092  4.23946967] -5.581172773243902 ;\n",
+      "Epoch 830/1000, Cost: 0.9078\n",
+      " and the parameters are [-3.14620681  4.23953528] -5.581172703031203 ;\n",
+      "Epoch 830/1000, Cost: 0.7733\n",
+      " and the parameters are [-3.14621507  4.23956298] -5.581163877264801 ;\n",
+      "Epoch 830/1000, Cost: 2.7887\n",
+      " and the parameters are [-3.14616607  4.23963339] -5.5811588807242725 ;\n",
+      "Epoch 830/1000, Cost: 3.3031\n",
+      " and the parameters are [-3.14618974  4.23959314] -5.581199747046541 ;\n",
+      "Epoch 830/1000, Cost: 1.9030\n",
+      " and the parameters are [-3.14615672  4.23969338] -5.581167685709541 ;\n",
+      "Epoch 830/1000, Cost: 1.9240\n",
+      " and the parameters are [-3.14611412  4.2397541 ] -5.581172496048935 ;\n",
+      "Epoch 830/1000, Cost: 0.8999\n",
+      " and the parameters are [-3.14610816  4.23975779] -5.581191568081644 ;\n",
+      "Epoch 830/1000, Cost: 1.8806\n",
+      " and the parameters are [-3.14609626  4.23979858] -5.581194883116006 ;\n",
+      "Epoch 830/1000, Cost: 1.3097\n",
+      " and the parameters are [-3.14608812  4.23982986] -5.581201340813013 ;\n",
+      "Epoch 830/1000, Cost: 2.5792\n",
+      " and the parameters are [-3.14606722  4.23986509] -5.581210984789383 ;\n",
+      "Epoch 830/1000, Cost: 3.5987\n",
+      " and the parameters are [-3.14612735  4.23983707] -5.581210051477493 ;\n",
+      "Epoch 830/1000, Cost: 5.4034\n",
+      " and the parameters are [-3.14604286  4.23987868] -5.581209826101102 ;\n",
+      "Epoch 830/1000, Cost: 2.7920\n",
+      " and the parameters are [-3.14610427  4.2398897 ] -5.581187268728507 ;\n",
+      "Epoch 840/1000, Cost: 5.7220\n",
+      " and the parameters are [-3.15473784  4.25079142] -5.5965919861101066 ;\n",
+      "Epoch 840/1000, Cost: 1.7257\n",
+      " and the parameters are [-3.15478363  4.25080026] -5.596572814290874 ;\n",
+      "Epoch 840/1000, Cost: 4.2216\n",
+      " and the parameters are [-3.15486018  4.25077322] -5.596558008240386 ;\n",
+      "Epoch 840/1000, Cost: 2.7910\n",
+      " and the parameters are [-3.15481712  4.25074097] -5.596628864384584 ;\n",
+      "Epoch 840/1000, Cost: 1.6303\n",
+      " and the parameters are [-3.15488847  4.25064778] -5.596683193627466 ;\n",
+      "Epoch 840/1000, Cost: 3.6178\n",
+      " and the parameters are [-3.15480328  4.25079878] -5.596641921252307 ;\n",
+      "Epoch 840/1000, Cost: 3.0176\n",
+      " and the parameters are [-3.15475507  4.25087482] -5.5966303920445055 ;\n",
+      "Epoch 840/1000, Cost: 2.7069\n",
+      " and the parameters are [-3.15480569  4.25089553] -5.59660485329853 ;\n",
+      "Epoch 840/1000, Cost: 1.4194\n",
+      " and the parameters are [-3.15476249  4.25090722] -5.596642270979374 ;\n",
+      "Epoch 840/1000, Cost: 2.2098\n",
+      " and the parameters are [-3.15477733  4.25096963] -5.5966117779083655 ;\n",
+      "Epoch 840/1000, Cost: 3.1931\n",
+      " and the parameters are [-3.15483177  4.25097981] -5.596598952046789 ;\n",
+      "Epoch 840/1000, Cost: 4.0038\n",
+      " and the parameters are [-3.15488407  4.25088784] -5.596651798982832 ;\n",
+      "Epoch 840/1000, Cost: 4.2538\n",
+      " and the parameters are [-3.15495769  4.25072808] -5.596731523403178 ;\n",
+      "Epoch 840/1000, Cost: 1.8355\n",
+      " and the parameters are [-3.15489587  4.25082723] -5.596712055962382 ;\n",
+      "Epoch 840/1000, Cost: 5.1954\n",
+      " and the parameters are [-3.15491191  4.25075803] -5.59676270448115 ;\n",
+      "Epoch 840/1000, Cost: 3.7229\n",
+      " and the parameters are [-3.15483782  4.25098169] -5.596656827943975 ;\n",
+      "Epoch 840/1000, Cost: 2.3491\n",
+      " and the parameters are [-3.15483723  4.2510296 ] -5.59663975866859 ;\n",
+      "Epoch 840/1000, Cost: 3.1215\n",
+      " and the parameters are [-3.15476822  4.25112089] -5.596631851996686 ;\n",
+      "Epoch 840/1000, Cost: 3.9882\n",
+      " and the parameters are [-3.15481055  4.25116594] -5.596589758177143 ;\n",
+      "Epoch 840/1000, Cost: 3.9323\n",
+      " and the parameters are [-3.15479976  4.2512935 ] -5.596516644228284 ;\n",
+      "Epoch 840/1000, Cost: 3.1896\n",
+      " and the parameters are [-3.15485563  4.25136098] -5.596448197970044 ;\n",
+      "Epoch 840/1000, Cost: 3.3449\n",
+      " and the parameters are [-3.15490685  4.25128332] -5.59649489658656 ;\n",
+      "Epoch 840/1000, Cost: 2.0931\n",
+      " and the parameters are [-3.15490434  4.2513231 ] -5.596496355637077 ;\n",
+      "Epoch 840/1000, Cost: 4.2328\n",
+      " and the parameters are [-3.15493446  4.25132231] -5.596499254753026 ;\n",
+      "Epoch 840/1000, Cost: 1.7568\n",
+      " and the parameters are [-3.1549528   4.25133818] -5.596498294973338 ;\n",
+      "Epoch 840/1000, Cost: 1.7350\n",
+      " and the parameters are [-3.154959    4.25137978] -5.596485886600253 ;\n",
+      "Epoch 840/1000, Cost: 3.6545\n",
+      " and the parameters are [-3.154933    4.25138362] -5.596523020233373 ;\n",
+      "Epoch 840/1000, Cost: 2.9025\n",
+      " and the parameters are [-3.15490803  4.25138611] -5.596564849173983 ;\n",
+      "Epoch 840/1000, Cost: 4.5389\n",
+      " and the parameters are [-3.15482039  4.25154809] -5.596489774597154 ;\n",
+      "Epoch 840/1000, Cost: 0.9374\n",
+      " and the parameters are [-3.15480592  4.25158228] -5.596492906207289 ;\n",
+      "Epoch 840/1000, Cost: 2.8293\n",
+      " and the parameters are [-3.15485107  4.25150511] -5.59654743992275 ;\n",
+      "Epoch 840/1000, Cost: 4.7759\n",
+      " and the parameters are [-3.15489107  4.25142058] -5.596594370383495 ;\n",
+      "Epoch 840/1000, Cost: 2.9853\n",
+      " and the parameters are [-3.15485353  4.25153167] -5.5965511251558455 ;\n",
+      "Epoch 840/1000, Cost: 4.2482\n",
+      " and the parameters are [-3.15489065  4.25151624] -5.596559201256133 ;\n",
+      "Epoch 840/1000, Cost: 1.8783\n",
+      " and the parameters are [-3.15483553  4.25157435] -5.596568146087245 ;\n",
+      "Epoch 840/1000, Cost: 2.9864\n",
+      " and the parameters are [-3.15492478  4.25154985] -5.5965590049602225 ;\n",
+      "Epoch 840/1000, Cost: 1.6837\n",
+      " and the parameters are [-3.15495779  4.25160209] -5.596517691621194 ;\n",
+      "Epoch 840/1000, Cost: 1.9451\n",
+      " and the parameters are [-3.15496142  4.25155762] -5.596563115031874 ;\n",
+      "Epoch 840/1000, Cost: 0.7994\n",
+      " and the parameters are [-3.15496382  4.25154968] -5.59658513304273 ;\n",
+      "Epoch 840/1000, Cost: 3.7218\n",
+      " and the parameters are [-3.15496872  4.2515636 ] -5.596565475121991 ;\n",
+      "Epoch 840/1000, Cost: 1.4032\n",
+      " and the parameters are [-3.1550347   4.25149698] -5.596597860310536 ;\n",
+      "Epoch 840/1000, Cost: 1.5226\n",
+      " and the parameters are [-3.15508603  4.25141964] -5.596645160069877 ;\n",
+      "Epoch 840/1000, Cost: 7.0120\n",
+      " and the parameters are [-3.15504009  4.25131381] -5.5967413315546795 ;\n",
+      "Epoch 840/1000, Cost: 3.5019\n",
+      " and the parameters are [-3.15507249  4.25124088] -5.596793400752915 ;\n",
+      "Epoch 840/1000, Cost: 1.3359\n",
+      " and the parameters are [-3.15505363  4.25125876] -5.596813206292567 ;\n",
+      "Epoch 840/1000, Cost: 2.9401\n",
+      " and the parameters are [-3.15502002  4.25129898] -5.59681881982081 ;\n",
+      "Epoch 840/1000, Cost: 5.0344\n",
+      " and the parameters are [-3.15505915  4.25108507] -5.5969515299279315 ;\n",
+      "Epoch 840/1000, Cost: 3.6666\n",
+      " and the parameters are [-3.15502157  4.25106637] -5.597003680917872 ;\n",
+      "Epoch 840/1000, Cost: 3.1974\n",
+      " and the parameters are [-3.15500592  4.25111554] -5.59698316136602 ;\n",
+      "Epoch 840/1000, Cost: 1.8041\n",
+      " and the parameters are [-3.15500113  4.25119358] -5.596950873488431 ;\n",
+      "Epoch 840/1000, Cost: 1.9342\n",
+      " and the parameters are [-3.15499009  4.25121859] -5.59696156934583 ;\n",
+      "Epoch 840/1000, Cost: 1.8765\n",
+      " and the parameters are [-3.15498617  4.25125624] -5.596963665915706 ;\n",
+      "Epoch 840/1000, Cost: 2.3261\n",
+      " and the parameters are [-3.15497867  4.25135911] -5.596906269181 ;\n",
+      "Epoch 840/1000, Cost: 3.9498\n",
+      " and the parameters are [-3.15497736  4.25140822] -5.5968761106712135 ;\n",
+      "Epoch 840/1000, Cost: 1.1731\n",
+      " and the parameters are [-3.1549468   4.25142845] -5.596902659865184 ;\n",
+      "Epoch 840/1000, Cost: 1.9787\n",
+      " and the parameters are [-3.15492136  4.2515442 ] -5.59686002460683 ;\n",
+      "Epoch 840/1000, Cost: 1.6970\n",
+      " and the parameters are [-3.15496786  4.25155428] -5.596855962122798 ;\n",
+      "Epoch 840/1000, Cost: 4.7274\n",
+      " and the parameters are [-3.15498726  4.25145327] -5.5969043492124735 ;\n",
+      "Epoch 840/1000, Cost: 4.9224\n",
+      " and the parameters are [-3.15496761  4.25148107] -5.596886111160225 ;\n",
+      "Epoch 840/1000, Cost: 2.4567\n",
+      " and the parameters are [-3.15497297  4.25149535] -5.596904529049169 ;\n",
+      "Epoch 840/1000, Cost: 3.0000\n",
+      " and the parameters are [-3.15489013  4.25151729] -5.596948515235409 ;\n",
+      "Epoch 840/1000, Cost: 3.0129\n",
+      " and the parameters are [-3.15490225  4.25145936] -5.597001482983659 ;\n",
+      "Epoch 840/1000, Cost: 1.5432\n",
+      " and the parameters are [-3.15487673  4.25152036] -5.596996569361457 ;\n",
+      "Epoch 840/1000, Cost: 1.6459\n",
+      " and the parameters are [-3.15483125  4.25155349] -5.5970216086741384 ;\n",
+      "Epoch 840/1000, Cost: 5.3579\n",
+      " and the parameters are [-3.15489137  4.25147747] -5.597043734777208 ;\n",
+      "Epoch 840/1000, Cost: 1.2072\n",
+      " and the parameters are [-3.15492946  4.25146564] -5.5970551861199205 ;\n",
+      "Epoch 840/1000, Cost: 6.9333\n",
+      " and the parameters are [-3.15494838  4.25133481] -5.597129009853185 ;\n",
+      "Epoch 840/1000, Cost: 2.6955\n",
+      " and the parameters are [-3.15494853  4.25124988] -5.597205125771881 ;\n",
+      "Epoch 840/1000, Cost: 3.8090\n",
+      " and the parameters are [-3.15493176  4.25138064] -5.597124833304829 ;\n",
+      "Epoch 840/1000, Cost: 1.5795\n",
+      " and the parameters are [-3.15490486  4.25147572] -5.597093060362532 ;\n",
+      "Epoch 840/1000, Cost: 3.4588\n",
+      " and the parameters are [-3.15491316  4.25150942] -5.597081026694338 ;\n",
+      "Epoch 840/1000, Cost: 1.2129\n",
+      " and the parameters are [-3.15489865  4.25150141] -5.59710816188601 ;\n",
+      "Epoch 840/1000, Cost: 2.0362\n",
+      " and the parameters are [-3.1549044   4.25158668] -5.597064588930962 ;\n",
+      "Epoch 840/1000, Cost: 1.9834\n",
+      " and the parameters are [-3.15494145  4.25154627] -5.597095255176871 ;\n",
+      "Epoch 840/1000, Cost: 0.9775\n",
+      " and the parameters are [-3.15495694  4.25155951] -5.597096665819215 ;\n",
+      "Epoch 840/1000, Cost: 1.0887\n",
+      " and the parameters are [-3.1549468   4.25159711] -5.597093549175442 ;\n",
+      "Epoch 840/1000, Cost: 4.3433\n",
+      " and the parameters are [-3.1549304   4.25167787] -5.597059453253204 ;\n",
+      "Epoch 840/1000, Cost: 8.3275\n",
+      " and the parameters are [-3.15482711  4.25180069] -5.597003022693635 ;\n",
+      "Epoch 840/1000, Cost: 3.0302\n",
+      " and the parameters are [-3.15479116  4.25175817] -5.597076527526764 ;\n",
+      "Epoch 840/1000, Cost: 3.0298\n",
+      " and the parameters are [-3.15484667  4.2517377 ] -5.597084675360189 ;\n",
+      "Epoch 840/1000, Cost: 4.7781\n",
+      " and the parameters are [-3.15483681  4.25165054] -5.597149524606593 ;\n",
+      "Epoch 840/1000, Cost: 2.5989\n",
+      " and the parameters are [-3.15487971  4.25168757] -5.597112736381056 ;\n",
+      "Epoch 840/1000, Cost: 2.7105\n",
+      " and the parameters are [-3.15490483  4.25159773] -5.597187990799658 ;\n",
+      "Epoch 840/1000, Cost: 2.7216\n",
+      " and the parameters are [-3.15487495  4.25158116] -5.597239751934225 ;\n",
+      "Epoch 840/1000, Cost: 2.6612\n",
+      " and the parameters are [-3.15488582  4.25163641] -5.597223774100564 ;\n",
+      "Epoch 840/1000, Cost: 2.3795\n",
+      " and the parameters are [-3.15491249  4.25164603] -5.5972225932717805 ;\n",
+      "Epoch 840/1000, Cost: 6.1839\n",
+      " and the parameters are [-3.15483487  4.2518277 ] -5.5971192585902045 ;\n",
+      "Epoch 840/1000, Cost: 2.2002\n",
+      " and the parameters are [-3.15483372  4.25191552] -5.597077119490667 ;\n",
+      "Epoch 840/1000, Cost: 7.1542\n",
+      " and the parameters are [-3.15479617  4.25201115] -5.597001046530519 ;\n",
+      "Epoch 840/1000, Cost: 3.4605\n",
+      " and the parameters are [-3.15481063  4.25197897] -5.597030628221793 ;\n",
+      "Epoch 840/1000, Cost: 1.5582\n",
+      " and the parameters are [-3.15478477  4.25201677] -5.597033615702236 ;\n",
+      "Epoch 840/1000, Cost: 1.2926\n",
+      " and the parameters are [-3.15482257  4.25202164] -5.5970350339194335 ;\n",
+      "Epoch 840/1000, Cost: 5.0092\n",
+      " and the parameters are [-3.15483205  4.25206114] -5.597015635231448 ;\n",
+      "Epoch 840/1000, Cost: 2.0892\n",
+      " and the parameters are [-3.15479894  4.25213346] -5.597008127056042 ;\n",
+      "Epoch 840/1000, Cost: 1.4385\n",
+      " and the parameters are [-3.15478253  4.25213239] -5.597039291645225 ;\n",
+      "Epoch 840/1000, Cost: 2.4252\n",
+      " and the parameters are [-3.15480435  4.25211169] -5.597058522579641 ;\n",
+      "Epoch 840/1000, Cost: 2.2681\n",
+      " and the parameters are [-3.15485561  4.25213896] -5.5970330709779725 ;\n",
+      "Epoch 840/1000, Cost: 4.4005\n",
+      " and the parameters are [-3.15483575  4.25211395] -5.597080334205826 ;\n",
+      "Epoch 840/1000, Cost: 4.2458\n",
+      " and the parameters are [-3.15480852  4.2520908 ] -5.597120680699275 ;\n",
+      "Epoch 840/1000, Cost: 1.4461\n",
+      " and the parameters are [-3.15481535  4.25213618] -5.5971109338761185 ;\n",
+      "Epoch 840/1000, Cost: 7.9019\n",
+      " and the parameters are [-3.15479191  4.25226953] -5.596993158896517 ;\n",
+      "Epoch 840/1000, Cost: 2.7266\n",
+      " and the parameters are [-3.15477918  4.25228851] -5.5969913814088486 ;\n",
+      "Epoch 840/1000, Cost: 3.7061\n",
+      " and the parameters are [-3.15480724  4.25224683] -5.5970388406486045 ;\n",
+      "Epoch 840/1000, Cost: 2.4715\n",
+      " and the parameters are [-3.15482392  4.25216783] -5.597123384666025 ;\n",
+      "Epoch 840/1000, Cost: 2.1364\n",
+      " and the parameters are [-3.15485768  4.25217795] -5.597113409294771 ;\n",
+      "Epoch 840/1000, Cost: 3.9660\n",
+      " and the parameters are [-3.15489858  4.25205083] -5.597194086721765 ;\n",
+      "Epoch 840/1000, Cost: 3.1775\n",
+      " and the parameters are [-3.15481942  4.25212673] -5.597197952529644 ;\n",
+      "Epoch 840/1000, Cost: 3.8022\n",
+      " and the parameters are [-3.15479357  4.25211714] -5.597234038363231 ;\n",
+      "Epoch 840/1000, Cost: 2.9512\n",
+      " and the parameters are [-3.15484927  4.25202698] -5.597289035501271 ;\n",
+      "Epoch 840/1000, Cost: 4.3628\n",
+      " and the parameters are [-3.15490281  4.25199359] -5.597289962303473 ;\n",
+      "Epoch 840/1000, Cost: 1.9320\n",
+      " and the parameters are [-3.15489267  4.25196632] -5.5973351574827825 ;\n",
+      "Epoch 840/1000, Cost: 1.0739\n",
+      " and the parameters are [-3.15485985  4.2520183 ] -5.5973355115607575 ;\n",
+      "Epoch 840/1000, Cost: 3.5899\n",
+      " and the parameters are [-3.15494913  4.25204   ] -5.59728018556512 ;\n",
+      "Epoch 840/1000, Cost: 1.9689\n",
+      " and the parameters are [-3.15495448  4.252097  ] -5.597260382254177 ;\n",
+      "Epoch 840/1000, Cost: 1.9401\n",
+      " and the parameters are [-3.15496445  4.25217188] -5.597223797188956 ;\n",
+      "Epoch 840/1000, Cost: 2.6606\n",
+      " and the parameters are [-3.15491243  4.25213808] -5.597290604407486 ;\n",
+      "Epoch 840/1000, Cost: 4.0505\n",
+      " and the parameters are [-3.15500901  4.25200494] -5.597359217491943 ;\n",
+      "Epoch 840/1000, Cost: 8.1872\n",
+      " and the parameters are [-3.15511195  4.25187196] -5.597363407241752 ;\n",
+      "Epoch 840/1000, Cost: 6.4841\n",
+      " and the parameters are [-3.15511754  4.25177527] -5.597420092334947 ;\n",
+      "Epoch 840/1000, Cost: 3.1428\n",
+      " and the parameters are [-3.15515425  4.25165702] -5.597491052116216 ;\n",
+      "Epoch 840/1000, Cost: 2.1954\n",
+      " and the parameters are [-3.15513743  4.2517643 ] -5.597450408312596 ;\n",
+      "Epoch 840/1000, Cost: 3.0233\n",
+      " and the parameters are [-3.15520571  4.25169315] -5.597487343515001 ;\n",
+      "Epoch 840/1000, Cost: 3.3468\n",
+      " and the parameters are [-3.15526925  4.25165592] -5.597485120319071 ;\n",
+      "Epoch 840/1000, Cost: 2.6041\n",
+      " and the parameters are [-3.15527065  4.2516619 ] -5.597506405255015 ;\n",
+      "Epoch 840/1000, Cost: 2.7725\n",
+      " and the parameters are [-3.1552222   4.25162506] -5.597594714422351 ;\n",
+      "Epoch 840/1000, Cost: 3.9984\n",
+      " and the parameters are [-3.15517484  4.25176633] -5.5975283004855845 ;\n",
+      "Epoch 840/1000, Cost: 1.9527\n",
+      " and the parameters are [-3.15516895  4.25175064] -5.597568417426298 ;\n",
+      "Epoch 840/1000, Cost: 2.6330\n",
+      " and the parameters are [-3.1551577   4.25179528] -5.597568347898706 ;\n",
+      "Epoch 840/1000, Cost: 3.8647\n",
+      " and the parameters are [-3.15514898  4.25167109] -5.597670780968714 ;\n",
+      "Epoch 840/1000, Cost: 2.8288\n",
+      " and the parameters are [-3.15516547  4.25171399] -5.597653334958917 ;\n",
+      "Epoch 840/1000, Cost: 2.2586\n",
+      " and the parameters are [-3.15515032  4.2517313 ] -5.597674314346564 ;\n",
+      "Epoch 840/1000, Cost: 3.8591\n",
+      " and the parameters are [-3.15516388  4.2516552 ] -5.597724737102809 ;\n",
+      "Epoch 840/1000, Cost: 3.5654\n",
+      " and the parameters are [-3.15515031  4.25176861] -5.597651744508838 ;\n",
+      "Epoch 840/1000, Cost: 3.8295\n",
+      " and the parameters are [-3.155137    4.25175455] -5.597694848981063 ;\n",
+      "Epoch 840/1000, Cost: 4.1672\n",
+      " and the parameters are [-3.15509752  4.25174001] -5.597744875888094 ;\n",
+      "Epoch 840/1000, Cost: 1.6195\n",
+      " and the parameters are [-3.15509622  4.25173036] -5.597771989463833 ;\n",
+      "Epoch 840/1000, Cost: 3.2925\n",
+      " and the parameters are [-3.15506169  4.2518207 ] -5.597755339713662 ;\n",
+      "Epoch 840/1000, Cost: 0.9605\n",
+      " and the parameters are [-3.15504277  4.25185389] -5.597761432088965 ;\n",
+      "Epoch 840/1000, Cost: 2.1585\n",
+      " and the parameters are [-3.15509354  4.25186015] -5.597751187081184 ;\n",
+      "Epoch 840/1000, Cost: 3.6875\n",
+      " and the parameters are [-3.15500241  4.25182426] -5.597843044011509 ;\n",
+      "Epoch 840/1000, Cost: 2.0292\n",
+      " and the parameters are [-3.15501605  4.25178342] -5.597891103878591 ;\n",
+      "Epoch 840/1000, Cost: 4.6057\n",
+      " and the parameters are [-3.1550959   4.25177906] -5.59786886909267 ;\n",
+      "Epoch 840/1000, Cost: 1.7555\n",
+      " and the parameters are [-3.1551243   4.25177149] -5.597876895425352 ;\n",
+      "Epoch 840/1000, Cost: 1.8537\n",
+      " and the parameters are [-3.15514828  4.25176548] -5.597894293136754 ;\n",
+      "Epoch 840/1000, Cost: 2.0090\n",
+      " and the parameters are [-3.15514988  4.25178708] -5.597892505300014 ;\n",
+      "Epoch 840/1000, Cost: 1.1977\n",
+      " and the parameters are [-3.15518045  4.25181074] -5.597874301828842 ;\n",
+      "Epoch 840/1000, Cost: 1.0901\n",
+      " and the parameters are [-3.15520239  4.25180728] -5.59788583846094 ;\n",
+      "Epoch 840/1000, Cost: 1.5618\n",
+      " and the parameters are [-3.1552665   4.25182731] -5.597853311827257 ;\n",
+      "Epoch 840/1000, Cost: 5.4358\n",
+      " and the parameters are [-3.15536525  4.2516531 ] -5.597928889600202 ;\n",
+      "Epoch 840/1000, Cost: 3.9482\n",
+      " and the parameters are [-3.15531262  4.25171856] -5.597935031849734 ;\n",
+      "Epoch 840/1000, Cost: 2.3148\n",
+      " and the parameters are [-3.15535831  4.25167661] -5.59797074093931 ;\n",
+      "Epoch 840/1000, Cost: 2.6927\n",
+      " and the parameters are [-3.15545076  4.25160323] -5.598001089942896 ;\n",
+      "Epoch 840/1000, Cost: 2.6008\n",
+      " and the parameters are [-3.15540084  4.25156462] -5.598082003147164 ;\n",
+      "Epoch 840/1000, Cost: 3.3863\n",
+      " and the parameters are [-3.15547151  4.25156586] -5.598058706174492 ;\n",
+      "Epoch 840/1000, Cost: 1.8438\n",
+      " and the parameters are [-3.15542343  4.2515993 ] -5.598086792400125 ;\n",
+      "Epoch 840/1000, Cost: 2.3614\n",
+      " and the parameters are [-3.15540782  4.25166197] -5.5980774678557355 ;\n",
+      "Epoch 840/1000, Cost: 5.8274\n",
+      " and the parameters are [-3.15546199  4.25163825] -5.598074031848576 ;\n",
+      "Epoch 840/1000, Cost: 3.2856\n",
+      " and the parameters are [-3.15550337  4.25169418] -5.598004699501669 ;\n",
+      "Epoch 840/1000, Cost: 2.4173\n",
+      " and the parameters are [-3.15550928  4.25171328] -5.5979984554182805 ;\n",
+      "Epoch 840/1000, Cost: 2.2280\n",
+      " and the parameters are [-3.15553977  4.25174683] -5.59797688674557 ;\n",
+      "Epoch 840/1000, Cost: 1.0140\n",
+      " and the parameters are [-3.15549067  4.25182798] -5.597959760349537 ;\n",
+      "Epoch 840/1000, Cost: 2.4645\n",
+      " and the parameters are [-3.15552281  4.25177808] -5.597986209464389 ;\n",
+      "Epoch 840/1000, Cost: 2.0061\n",
+      " and the parameters are [-3.15553187  4.25185635] -5.597939596085559 ;\n",
+      "Epoch 840/1000, Cost: 3.0384\n",
+      " and the parameters are [-3.15557032  4.25175323] -5.598010541666488 ;\n",
+      "Epoch 840/1000, Cost: 3.0145\n",
+      " and the parameters are [-3.15555416  4.2518196 ] -5.597981131809794 ;\n",
+      "Epoch 840/1000, Cost: 3.0906\n",
+      " and the parameters are [-3.15547728  4.25198508] -5.5979226844372505 ;\n",
+      "Epoch 840/1000, Cost: 1.8993\n",
+      " and the parameters are [-3.15547498  4.25202214] -5.597913450375874 ;\n",
+      "Epoch 840/1000, Cost: 3.6498\n",
+      " and the parameters are [-3.15552312  4.25206573] -5.597867483999165 ;\n",
+      "Epoch 840/1000, Cost: 3.2119\n",
+      " and the parameters are [-3.15558133  4.25208334] -5.597837478557623 ;\n",
+      "Epoch 840/1000, Cost: 5.6196\n",
+      " and the parameters are [-3.15545751  4.2521402 ] -5.597852399279028 ;\n",
+      "Epoch 840/1000, Cost: 3.8182\n",
+      " and the parameters are [-3.15549155  4.25209427] -5.597891769057178 ;\n",
+      "Epoch 840/1000, Cost: 2.9477\n",
+      " and the parameters are [-3.15549341  4.25205623] -5.597938896271055 ;\n",
+      "Epoch 840/1000, Cost: 2.9632\n",
+      " and the parameters are [-3.15556492  4.25195257] -5.5979960315752555 ;\n",
+      "Epoch 840/1000, Cost: 3.5446\n",
+      " and the parameters are [-3.15554325  4.25201834] -5.597982651971493 ;\n",
+      "Epoch 840/1000, Cost: 4.7386\n",
+      " and the parameters are [-3.15553548  4.25208179] -5.597947138688539 ;\n",
+      "Epoch 840/1000, Cost: 2.8556\n",
+      " and the parameters are [-3.15555464  4.25219318] -5.597877586665038 ;\n",
+      "Epoch 840/1000, Cost: 2.9824\n",
+      " and the parameters are [-3.15559016  4.25212569] -5.597925401503628 ;\n",
+      "Epoch 840/1000, Cost: 2.5086\n",
+      " and the parameters are [-3.15558196  4.25210817] -5.597970748757864 ;\n",
+      "Epoch 840/1000, Cost: 2.4042\n",
+      " and the parameters are [-3.15562163  4.2520331 ] -5.598028597523112 ;\n",
+      "Epoch 840/1000, Cost: 6.0639\n",
+      " and the parameters are [-3.15570787  4.25196717] -5.598021381929946 ;\n",
+      "Epoch 840/1000, Cost: 0.8108\n",
+      " and the parameters are [-3.15568113  4.25199122] -5.598037366884513 ;\n",
+      "Epoch 840/1000, Cost: 2.4214\n",
+      " and the parameters are [-3.15563957  4.25194992] -5.598092680763903 ;\n",
+      "Epoch 840/1000, Cost: 4.5754\n",
+      " and the parameters are [-3.15561098  4.2518904 ] -5.598176737403314 ;\n",
+      "Epoch 840/1000, Cost: 1.4883\n",
+      " and the parameters are [-3.1556213   4.25188274] -5.598195070676828 ;\n",
+      "Epoch 840/1000, Cost: 6.4490\n",
+      " and the parameters are [-3.1555847   4.25187128] -5.598222482934588 ;\n",
+      "Epoch 840/1000, Cost: 2.1075\n",
+      " and the parameters are [-3.15558355  4.25192033] -5.598209772142966 ;\n",
+      "Epoch 840/1000, Cost: 2.2546\n",
+      " and the parameters are [-3.15560167  4.2519341 ] -5.598207852734399 ;\n",
+      "Epoch 840/1000, Cost: 1.9410\n",
+      " and the parameters are [-3.15554334  4.25205629] -5.598173066245317 ;\n",
+      "Epoch 840/1000, Cost: 3.8839\n",
+      " and the parameters are [-3.1555656   4.25197112] -5.5982215168182625 ;\n",
+      "Epoch 840/1000, Cost: 1.3461\n",
+      " and the parameters are [-3.15555243  4.25203327] -5.5982048821497274 ;\n",
+      "Epoch 840/1000, Cost: 2.5550\n",
+      " and the parameters are [-3.15560178  4.25203479] -5.598201965123112 ;\n",
+      "Epoch 840/1000, Cost: 2.2565\n",
+      " and the parameters are [-3.15562342  4.25201521] -5.598231590717939 ;\n",
+      "Epoch 840/1000, Cost: 3.0193\n",
+      " and the parameters are [-3.15564976  4.25189502] -5.598324835339525 ;\n",
+      "Epoch 840/1000, Cost: 1.0320\n",
+      " and the parameters are [-3.15566167  4.25189375] -5.5983420411057505 ;\n",
+      "Epoch 840/1000, Cost: 8.1204\n",
+      " and the parameters are [-3.15568519  4.25198001] -5.5982453099915785 ;\n",
+      "Epoch 840/1000, Cost: 6.0068\n",
+      " and the parameters are [-3.15580937  4.25180822] -5.598319213722048 ;\n",
+      "Epoch 840/1000, Cost: 1.6870\n",
+      " and the parameters are [-3.15578075  4.25190128] -5.598284924720491 ;\n",
+      "Epoch 840/1000, Cost: 0.7923\n",
+      " and the parameters are [-3.15576036  4.25190023] -5.598312491089308 ;\n",
+      "Epoch 840/1000, Cost: 1.1751\n",
+      " and the parameters are [-3.15572679  4.25192145] -5.598330641347746 ;\n",
+      "Epoch 840/1000, Cost: 1.3944\n",
+      " and the parameters are [-3.15573355  4.25194809] -5.5983281109959675 ;\n",
+      "Epoch 850/1000, Cost: 1.6550\n",
+      " and the parameters are [-3.16431163  4.26273152] -5.61355381829211 ;\n",
+      "Epoch 850/1000, Cost: 2.4050\n",
+      " and the parameters are [-3.16424934  4.26279924] -5.613563831150866 ;\n",
+      "Epoch 850/1000, Cost: 2.9595\n",
+      " and the parameters are [-3.16433851  4.26276381] -5.613560006573322 ;\n",
+      "Epoch 850/1000, Cost: 4.3448\n",
+      " and the parameters are [-3.16433345  4.26282758] -5.613531876111184 ;\n",
+      "Epoch 850/1000, Cost: 2.4170\n",
+      " and the parameters are [-3.1643159   4.26293719] -5.6134891496444 ;\n",
+      "Epoch 850/1000, Cost: 2.5734\n",
+      " and the parameters are [-3.1643025   4.26300314] -5.613470439613486 ;\n",
+      "Epoch 850/1000, Cost: 1.4690\n",
+      " and the parameters are [-3.16430934  4.26307584] -5.613437868928023 ;\n",
+      "Epoch 850/1000, Cost: 2.2319\n",
+      " and the parameters are [-3.16429016  4.26309802] -5.613455441835947 ;\n",
+      "Epoch 850/1000, Cost: 6.5836\n",
+      " and the parameters are [-3.16418669  4.26311721] -5.613473450469466 ;\n",
+      "Epoch 850/1000, Cost: 4.0796\n",
+      " and the parameters are [-3.16417088  4.26312622] -5.613494316213281 ;\n",
+      "Epoch 850/1000, Cost: 1.4086\n",
+      " and the parameters are [-3.16419153  4.26317068] -5.613471532059347 ;\n",
+      "Epoch 850/1000, Cost: 1.7206\n",
+      " and the parameters are [-3.1642287   4.26311485] -5.613508225581146 ;\n",
+      "Epoch 850/1000, Cost: 5.8062\n",
+      " and the parameters are [-3.16422298  4.26307515] -5.613524376925064 ;\n",
+      "Epoch 850/1000, Cost: 3.6407\n",
+      " and the parameters are [-3.16425467  4.262987  ] -5.613588664091902 ;\n",
+      "Epoch 850/1000, Cost: 3.0455\n",
+      " and the parameters are [-3.16425938  4.26304596] -5.613565073287276 ;\n",
+      "Epoch 850/1000, Cost: 1.2419\n",
+      " and the parameters are [-3.16425384  4.26312051] -5.613534710323026 ;\n",
+      "Epoch 850/1000, Cost: 2.9795\n",
+      " and the parameters are [-3.16419673  4.26319078] -5.61353977334487 ;\n",
+      "Epoch 850/1000, Cost: 1.9982\n",
+      " and the parameters are [-3.16418501  4.26326342] -5.613525518233106 ;\n",
+      "Epoch 850/1000, Cost: 3.3566\n",
+      " and the parameters are [-3.16425423  4.26315224] -5.613585747541906 ;\n",
+      "Epoch 850/1000, Cost: 3.6152\n",
+      " and the parameters are [-3.16418207  4.26318052] -5.613624041734238 ;\n",
+      "Epoch 850/1000, Cost: 3.7096\n",
+      " and the parameters are [-3.16412163  4.26315336] -5.613685747652062 ;\n",
+      "Epoch 850/1000, Cost: 2.4180\n",
+      " and the parameters are [-3.16410928  4.26309177] -5.613746713178421 ;\n",
+      "Epoch 850/1000, Cost: 2.9142\n",
+      " and the parameters are [-3.16415532  4.26307552] -5.613761959608857 ;\n",
+      "Epoch 850/1000, Cost: 1.5238\n",
+      " and the parameters are [-3.16413774  4.26308969] -5.61378784847609 ;\n",
+      "Epoch 850/1000, Cost: 3.0611\n",
+      " and the parameters are [-3.16415706  4.26314091] -5.613754940263415 ;\n",
+      "Epoch 850/1000, Cost: 3.2993\n",
+      " and the parameters are [-3.16419909  4.26312743] -5.613766775971552 ;\n",
+      "Epoch 850/1000, Cost: 2.6017\n",
+      " and the parameters are [-3.16424297  4.26307812] -5.6138048984331475 ;\n",
+      "Epoch 850/1000, Cost: 1.7418\n",
+      " and the parameters are [-3.16422672  4.26313703] -5.613791826658887 ;\n",
+      "Epoch 850/1000, Cost: 1.9470\n",
+      " and the parameters are [-3.16420949  4.26320756] -5.6137826521488945 ;\n",
+      "Epoch 850/1000, Cost: 5.8728\n",
+      " and the parameters are [-3.16427927  4.26315965] -5.613788333092022 ;\n",
+      "Epoch 850/1000, Cost: 0.9169\n",
+      " and the parameters are [-3.16426844  4.26320957] -5.6137750073890835 ;\n",
+      "Epoch 850/1000, Cost: 1.2498\n",
+      " and the parameters are [-3.16427631  4.26323407] -5.613770620411392 ;\n",
+      "Epoch 850/1000, Cost: 2.9608\n",
+      " and the parameters are [-3.16433735  4.26320171] -5.61378097136058 ;\n",
+      "Epoch 850/1000, Cost: 1.7437\n",
+      " and the parameters are [-3.16433484  4.26326723] -5.613761838848519 ;\n",
+      "Epoch 850/1000, Cost: 1.2285\n",
+      " and the parameters are [-3.16433662  4.26326914] -5.6137844096934035 ;\n",
+      "Epoch 850/1000, Cost: 1.5311\n",
+      " and the parameters are [-3.16434958  4.26335074] -5.6137488032617195 ;\n",
+      "Epoch 850/1000, Cost: 2.7410\n",
+      " and the parameters are [-3.16433156  4.26335394] -5.613768329840141 ;\n",
+      "Epoch 850/1000, Cost: 4.4654\n",
+      " and the parameters are [-3.16425973  4.26332253] -5.613838305256556 ;\n",
+      "Epoch 850/1000, Cost: 5.0300\n",
+      " and the parameters are [-3.16433286  4.26314356] -5.613933472010653 ;\n",
+      "Epoch 850/1000, Cost: 6.5325\n",
+      " and the parameters are [-3.16439621  4.26307953] -5.613942959256815 ;\n",
+      "Epoch 850/1000, Cost: 2.2465\n",
+      " and the parameters are [-3.16442757  4.26313056] -5.613910834311581 ;\n",
+      "Epoch 850/1000, Cost: 1.6645\n",
+      " and the parameters are [-3.16445824  4.2631473 ] -5.613905243866889 ;\n",
+      "Epoch 850/1000, Cost: 1.0299\n",
+      " and the parameters are [-3.16445559  4.26319161] -5.613885463578803 ;\n",
+      "Epoch 850/1000, Cost: 7.5681\n",
+      " and the parameters are [-3.16450387  4.2631509 ] -5.613851036696434 ;\n",
+      "Epoch 850/1000, Cost: 4.8999\n",
+      " and the parameters are [-3.16445299  4.2632011 ] -5.613845041589401 ;\n",
+      "Epoch 850/1000, Cost: 2.4936\n",
+      " and the parameters are [-3.16445211  4.26319891] -5.613865548219802 ;\n",
+      "Epoch 850/1000, Cost: 2.0256\n",
+      " and the parameters are [-3.16442688  4.26322825] -5.613886214547463 ;\n",
+      "Epoch 850/1000, Cost: 1.1318\n",
+      " and the parameters are [-3.16444531  4.26324828] -5.613880968021366 ;\n",
+      "Epoch 850/1000, Cost: 1.0145\n",
+      " and the parameters are [-3.16445944  4.26325697] -5.613886995025994 ;\n",
+      "Epoch 850/1000, Cost: 3.2771\n",
+      " and the parameters are [-3.16447121  4.26322337] -5.61393520965869 ;\n",
+      "Epoch 850/1000, Cost: 2.3141\n",
+      " and the parameters are [-3.16452548  4.26320516] -5.613944202051958 ;\n",
+      "Epoch 850/1000, Cost: 3.0672\n",
+      " and the parameters are [-3.1645428   4.26325095] -5.6139289376053885 ;\n",
+      "Epoch 850/1000, Cost: 4.3542\n",
+      " and the parameters are [-3.16457724  4.2631447 ] -5.613994732192221 ;\n",
+      "Epoch 850/1000, Cost: 4.0449\n",
+      " and the parameters are [-3.16458184  4.26313125] -5.614014718400175 ;\n",
+      "Epoch 850/1000, Cost: 1.0493\n",
+      " and the parameters are [-3.1646088   4.26313304] -5.614017782885503 ;\n",
+      "Epoch 850/1000, Cost: 2.9446\n",
+      " and the parameters are [-3.1645678   4.26307663] -5.614098221466103 ;\n",
+      "Epoch 850/1000, Cost: 2.7535\n",
+      " and the parameters are [-3.16450151  4.26312778] -5.614110417265911 ;\n",
+      "Epoch 850/1000, Cost: 3.6215\n",
+      " and the parameters are [-3.16447201  4.26316538] -5.614126410319512 ;\n",
+      "Epoch 850/1000, Cost: 3.1365\n",
+      " and the parameters are [-3.16446353  4.26325712] -5.614084965150757 ;\n",
+      "Epoch 850/1000, Cost: 6.9479\n",
+      " and the parameters are [-3.16450109  4.26304083] -5.614223255562018 ;\n",
+      "Epoch 850/1000, Cost: 5.0569\n",
+      " and the parameters are [-3.16454735  4.26285532] -5.614338171027772 ;\n",
+      "Epoch 850/1000, Cost: 3.5382\n",
+      " and the parameters are [-3.16458713  4.26293607] -5.614262293654805 ;\n",
+      "Epoch 850/1000, Cost: 2.0070\n",
+      " and the parameters are [-3.16450411  4.26298779] -5.614289069090172 ;\n",
+      "Epoch 850/1000, Cost: 1.5017\n",
+      " and the parameters are [-3.16450896  4.26297615] -5.614321591045704 ;\n",
+      "Epoch 850/1000, Cost: 1.7927\n",
+      " and the parameters are [-3.16449645  4.26305359] -5.614283137385715 ;\n",
+      "Epoch 850/1000, Cost: 2.5231\n",
+      " and the parameters are [-3.16451323  4.26299056] -5.614346070944562 ;\n",
+      "Epoch 850/1000, Cost: 7.8616\n",
+      " and the parameters are [-3.16447291  4.26315454] -5.614234760262595 ;\n",
+      "Epoch 850/1000, Cost: 4.8695\n",
+      " and the parameters are [-3.16456001  4.26328954] -5.614100776485218 ;\n",
+      "Epoch 850/1000, Cost: 1.3693\n",
+      " and the parameters are [-3.16457563  4.26327031] -5.614132736990874 ;\n",
+      "Epoch 850/1000, Cost: 1.7572\n",
+      " and the parameters are [-3.16456417  4.26334879] -5.6141065738739515 ;\n",
+      "Epoch 850/1000, Cost: 1.0043\n",
+      " and the parameters are [-3.16460166  4.26332892] -5.6141216639379685 ;\n",
+      "Epoch 850/1000, Cost: 6.7834\n",
+      " and the parameters are [-3.16461364  4.26322876] -5.614176629464262 ;\n",
+      "Epoch 850/1000, Cost: 0.9814\n",
+      " and the parameters are [-3.1646157   4.26323684] -5.614186545636208 ;\n",
+      "Epoch 850/1000, Cost: 4.8179\n",
+      " and the parameters are [-3.16463003  4.26334897] -5.614121246480408 ;\n",
+      "Epoch 850/1000, Cost: 2.3251\n",
+      " and the parameters are [-3.16467646  4.26336091] -5.6141182832479055 ;\n",
+      "Epoch 850/1000, Cost: 4.1176\n",
+      " and the parameters are [-3.16470239  4.26340906] -5.6140873930599255 ;\n",
+      "Epoch 850/1000, Cost: 6.6879\n",
+      " and the parameters are [-3.16465745  4.26330907] -5.614178192503047 ;\n",
+      "Epoch 850/1000, Cost: 2.0093\n",
+      " and the parameters are [-3.16463772  4.2632722 ] -5.614234896886814 ;\n",
+      "Epoch 850/1000, Cost: 8.3350\n",
+      " and the parameters are [-3.16465525  4.26313954] -5.614290449621134 ;\n",
+      "Epoch 850/1000, Cost: 2.4787\n",
+      " and the parameters are [-3.16468481  4.26318194] -5.614267200232806 ;\n",
+      "Epoch 850/1000, Cost: 5.7913\n",
+      " and the parameters are [-3.16466323  4.26317764] -5.614283941909334 ;\n",
+      "Epoch 850/1000, Cost: 2.4626\n",
+      " and the parameters are [-3.16467388  4.26311472] -5.614343466706361 ;\n",
+      "Epoch 850/1000, Cost: 1.2535\n",
+      " and the parameters are [-3.16469211  4.26311828] -5.614356308186254 ;\n",
+      "Epoch 850/1000, Cost: 4.3970\n",
+      " and the parameters are [-3.1647264   4.26307651] -5.614375557065687 ;\n",
+      "Epoch 850/1000, Cost: 1.1708\n",
+      " and the parameters are [-3.1647426   4.26309361] -5.6143748704219245 ;\n",
+      "Epoch 850/1000, Cost: 1.1420\n",
+      " and the parameters are [-3.16476707  4.26307256] -5.614396439130355 ;\n",
+      "Epoch 850/1000, Cost: 2.3620\n",
+      " and the parameters are [-3.16471486  4.26314104] -5.614402047305244 ;\n",
+      "Epoch 850/1000, Cost: 1.4637\n",
+      " and the parameters are [-3.16470396  4.26312635] -5.614448463732343 ;\n",
+      "Epoch 850/1000, Cost: 1.0420\n",
+      " and the parameters are [-3.16472992  4.26313766] -5.6144447593558615 ;\n",
+      "Epoch 850/1000, Cost: 1.0242\n",
+      " and the parameters are [-3.16473666  4.26314616] -5.614455473275303 ;\n",
+      "Epoch 850/1000, Cost: 4.2308\n",
+      " and the parameters are [-3.16474153  4.26314286] -5.61446234737027 ;\n",
+      "Epoch 850/1000, Cost: 1.9881\n",
+      " and the parameters are [-3.16471135  4.26320175] -5.614463078857118 ;\n",
+      "Epoch 850/1000, Cost: 3.9265\n",
+      " and the parameters are [-3.16482094  4.26321544] -5.6143989060692725 ;\n",
+      "Epoch 850/1000, Cost: 1.2485\n",
+      " and the parameters are [-3.16482097  4.26324886] -5.614394866969095 ;\n",
+      "Epoch 850/1000, Cost: 5.3182\n",
+      " and the parameters are [-3.16475811  4.26343811] -5.614295052591002 ;\n",
+      "Epoch 850/1000, Cost: 2.7311\n",
+      " and the parameters are [-3.16474366  4.26342968] -5.614323675604032 ;\n",
+      "Epoch 850/1000, Cost: 8.1085\n",
+      " and the parameters are [-3.16479285  4.2632928 ] -5.614384998643833 ;\n",
+      "Epoch 850/1000, Cost: 5.4285\n",
+      " and the parameters are [-3.16489871  4.26316325] -5.614432259552548 ;\n",
+      "Epoch 850/1000, Cost: 3.2275\n",
+      " and the parameters are [-3.1648607   4.26321816] -5.614432393131029 ;\n",
+      "Epoch 850/1000, Cost: 5.9940\n",
+      " and the parameters are [-3.16492023  4.26326136] -5.614369601101419 ;\n",
+      "Epoch 850/1000, Cost: 3.3231\n",
+      " and the parameters are [-3.16489213  4.26332328] -5.614342647543417 ;\n",
+      "Epoch 850/1000, Cost: 1.3957\n",
+      " and the parameters are [-3.16489912  4.26334831] -5.614345185780786 ;\n",
+      "Epoch 850/1000, Cost: 6.4229\n",
+      " and the parameters are [-3.16492401  4.26335445] -5.614322765173745 ;\n",
+      "Epoch 850/1000, Cost: 1.3195\n",
+      " and the parameters are [-3.16497175  4.26337706] -5.614296114394481 ;\n",
+      "Epoch 850/1000, Cost: 3.4155\n",
+      " and the parameters are [-3.1649302   4.26336963] -5.614341218128438 ;\n",
+      "Epoch 850/1000, Cost: 1.2393\n",
+      " and the parameters are [-3.16492065  4.26341824] -5.6143328082641615 ;\n",
+      "Epoch 850/1000, Cost: 4.6569\n",
+      " and the parameters are [-3.16495133  4.26338646] -5.614346275958638 ;\n",
+      "Epoch 850/1000, Cost: 2.5774\n",
+      " and the parameters are [-3.16493193  4.26349445] -5.614295184915328 ;\n",
+      "Epoch 850/1000, Cost: 0.6892\n",
+      " and the parameters are [-3.16492812  4.26350231] -5.614304426135686 ;\n",
+      "Epoch 850/1000, Cost: 4.8002\n",
+      " and the parameters are [-3.16496805  4.26361247] -5.614203604958307 ;\n",
+      "Epoch 850/1000, Cost: 4.6956\n",
+      " and the parameters are [-3.16494121  4.26371868] -5.614139825658199 ;\n",
+      "Epoch 850/1000, Cost: 5.7931\n",
+      " and the parameters are [-3.16492601  4.26361528] -5.614216326534037 ;\n",
+      "Epoch 850/1000, Cost: 3.2363\n",
+      " and the parameters are [-3.16481362  4.26376017] -5.614185685507056 ;\n",
+      "Epoch 850/1000, Cost: 1.1996\n",
+      " and the parameters are [-3.1647759  4.2638002] -5.614200306293136 ;\n",
+      "Epoch 850/1000, Cost: 1.4393\n",
+      " and the parameters are [-3.16480617  4.26374086] -5.614246594304139 ;\n",
+      "Epoch 850/1000, Cost: 2.5357\n",
+      " and the parameters are [-3.1648107   4.26377318] -5.614236565800806 ;\n",
+      "Epoch 850/1000, Cost: 1.3353\n",
+      " and the parameters are [-3.16484628  4.2637137 ] -5.614280689622708 ;\n",
+      "Epoch 850/1000, Cost: 8.8330\n",
+      " and the parameters are [-3.1648373   4.26382155] -5.6141807103388555 ;\n",
+      "Epoch 850/1000, Cost: 1.1224\n",
+      " and the parameters are [-3.16481012  4.26385188] -5.614187992945803 ;\n",
+      "Epoch 850/1000, Cost: 2.1247\n",
+      " and the parameters are [-3.16488433  4.26381239] -5.614201259110146 ;\n",
+      "Epoch 850/1000, Cost: 3.0677\n",
+      " and the parameters are [-3.16490741  4.2638129 ] -5.614217013477783 ;\n",
+      "Epoch 850/1000, Cost: 3.3096\n",
+      " and the parameters are [-3.16485899  4.26387211] -5.614208849067769 ;\n",
+      "Epoch 850/1000, Cost: 2.5278\n",
+      " and the parameters are [-3.16481848  4.26394937] -5.614197363492278 ;\n",
+      "Epoch 850/1000, Cost: 4.5820\n",
+      " and the parameters are [-3.16495533  4.26376675] -5.614267360422763 ;\n",
+      "Epoch 850/1000, Cost: 7.3332\n",
+      " and the parameters are [-3.16497069  4.26386752] -5.614174205656176 ;\n",
+      "Epoch 850/1000, Cost: 2.1041\n",
+      " and the parameters are [-3.16498483  4.26395005] -5.614126884255532 ;\n",
+      "Epoch 850/1000, Cost: 5.0376\n",
+      " and the parameters are [-3.16489794  4.2640932 ] -5.614078885587492 ;\n",
+      "Epoch 850/1000, Cost: 2.5977\n",
+      " and the parameters are [-3.16488313  4.26406482] -5.6141304096662195 ;\n",
+      "Epoch 850/1000, Cost: 2.0527\n",
+      " and the parameters are [-3.16491106  4.26399944] -5.614175316569977 ;\n",
+      "Epoch 850/1000, Cost: 1.3808\n",
+      " and the parameters are [-3.16492802  4.26400779] -5.6141834325479625 ;\n",
+      "Epoch 850/1000, Cost: 2.1035\n",
+      " and the parameters are [-3.16493419  4.26398925] -5.614207075204175 ;\n",
+      "Epoch 850/1000, Cost: 6.1056\n",
+      " and the parameters are [-3.16494249  4.26382851] -5.61432889736736 ;\n",
+      "Epoch 850/1000, Cost: 0.4249\n",
+      " and the parameters are [-3.16494088  4.26383508] -5.614337756743841 ;\n",
+      "Epoch 850/1000, Cost: 3.3553\n",
+      " and the parameters are [-3.16498075  4.26377213] -5.614389180287679 ;\n",
+      "Epoch 850/1000, Cost: 1.6753\n",
+      " and the parameters are [-3.1649941   4.26376333] -5.614410361469293 ;\n",
+      "Epoch 850/1000, Cost: 2.0572\n",
+      " and the parameters are [-3.16498606  4.26375327] -5.614452127488554 ;\n",
+      "Epoch 850/1000, Cost: 4.0557\n",
+      " and the parameters are [-3.16498898  4.26363173] -5.614574002512605 ;\n",
+      "Epoch 850/1000, Cost: 1.8055\n",
+      " and the parameters are [-3.16498664  4.26365525] -5.614583466234174 ;\n",
+      "Epoch 850/1000, Cost: 1.2412\n",
+      " and the parameters are [-3.16502883  4.26368369] -5.614559791298499 ;\n",
+      "Epoch 850/1000, Cost: 6.0706\n",
+      " and the parameters are [-3.16498298  4.26374188] -5.614533348875658 ;\n",
+      "Epoch 850/1000, Cost: 3.9986\n",
+      " and the parameters are [-3.16496441  4.26369196] -5.6145736018114665 ;\n",
+      "Epoch 850/1000, Cost: 1.9467\n",
+      " and the parameters are [-3.16494418  4.26377901] -5.614532790512551 ;\n",
+      "Epoch 850/1000, Cost: 7.6075\n",
+      " and the parameters are [-3.16496105  4.26373619] -5.614553493957692 ;\n",
+      "Epoch 850/1000, Cost: 2.0756\n",
+      " and the parameters are [-3.16493524  4.26381305] -5.614525498994663 ;\n",
+      "Epoch 850/1000, Cost: 1.8461\n",
+      " and the parameters are [-3.16493503  4.26389136] -5.614483574585849 ;\n",
+      "Epoch 850/1000, Cost: 0.8346\n",
+      " and the parameters are [-3.16492348  4.26394081] -5.614471194779017 ;\n",
+      "Epoch 850/1000, Cost: 4.7048\n",
+      " and the parameters are [-3.16500843  4.26394976] -5.614417137480637 ;\n",
+      "Epoch 850/1000, Cost: 3.6923\n",
+      " and the parameters are [-3.16497305  4.26406901] -5.6143607681804335 ;\n",
+      "Epoch 850/1000, Cost: 2.4401\n",
+      " and the parameters are [-3.16500766  4.26413892] -5.614304117744415 ;\n",
+      "Epoch 850/1000, Cost: 4.3144\n",
+      " and the parameters are [-3.16501928  4.26402724] -5.614399135690616 ;\n",
+      "Epoch 850/1000, Cost: 1.1313\n",
+      " and the parameters are [-3.16500757  4.26407351] -5.614397395524344 ;\n",
+      "Epoch 850/1000, Cost: 1.7451\n",
+      " and the parameters are [-3.16497137  4.26412596] -5.614394733237817 ;\n",
+      "Epoch 850/1000, Cost: 1.7995\n",
+      " and the parameters are [-3.16495876  4.26413909] -5.614411719622056 ;\n",
+      "Epoch 850/1000, Cost: 1.9918\n",
+      " and the parameters are [-3.16499728  4.26408162] -5.614445556182401 ;\n",
+      "Epoch 850/1000, Cost: 1.5648\n",
+      " and the parameters are [-3.16501392  4.26409839] -5.614442238185211 ;\n",
+      "Epoch 850/1000, Cost: 1.6264\n",
+      " and the parameters are [-3.16500282  4.26416618] -5.614424444708038 ;\n",
+      "Epoch 850/1000, Cost: 1.0785\n",
+      " and the parameters are [-3.16497219  4.26418503] -5.614446435029199 ;\n",
+      "Epoch 850/1000, Cost: 2.8434\n",
+      " and the parameters are [-3.16490376  4.26427508] -5.614439825129864 ;\n",
+      "Epoch 850/1000, Cost: 4.0529\n",
+      " and the parameters are [-3.16496097  4.2642681 ] -5.614429494527605 ;\n",
+      "Epoch 850/1000, Cost: 3.2126\n",
+      " and the parameters are [-3.16501444  4.26416766] -5.614491984787398 ;\n",
+      "Epoch 850/1000, Cost: 4.5244\n",
+      " and the parameters are [-3.16502447  4.26400044] -5.6146086978651315 ;\n",
+      "Epoch 850/1000, Cost: 1.0071\n",
+      " and the parameters are [-3.1650243   4.26402226] -5.614615987588444 ;\n",
+      "Epoch 850/1000, Cost: 2.6592\n",
+      " and the parameters are [-3.16506055  4.26403608] -5.614614212121165 ;\n",
+      "Epoch 850/1000, Cost: 3.2061\n",
+      " and the parameters are [-3.16504629  4.26403704] -5.61464531817927 ;\n",
+      "Epoch 850/1000, Cost: 0.8324\n",
+      " and the parameters are [-3.16503562  4.26405356] -5.614660682140289 ;\n",
+      "Epoch 850/1000, Cost: 2.7979\n",
+      " and the parameters are [-3.16503447  4.26405301] -5.6146945932312 ;\n",
+      "Epoch 850/1000, Cost: 1.2821\n",
+      " and the parameters are [-3.16505653  4.26399131] -5.61475014228339 ;\n",
+      "Epoch 850/1000, Cost: 2.2491\n",
+      " and the parameters are [-3.16509023  4.26388015] -5.614825905527584 ;\n",
+      "Epoch 850/1000, Cost: 2.8693\n",
+      " and the parameters are [-3.16514745  4.26377936] -5.614882472245964 ;\n",
+      "Epoch 850/1000, Cost: 1.6163\n",
+      " and the parameters are [-3.1651639   4.26383301] -5.614856445352707 ;\n",
+      "Epoch 850/1000, Cost: 2.1398\n",
+      " and the parameters are [-3.16513515  4.26381313] -5.614905188469017 ;\n",
+      "Epoch 850/1000, Cost: 1.4604\n",
+      " and the parameters are [-3.16513178  4.2638022 ] -5.614943376127799 ;\n",
+      "Epoch 850/1000, Cost: 0.4507\n",
+      " and the parameters are [-3.16513511  4.26382256] -5.614940568791024 ;\n",
+      "Epoch 850/1000, Cost: 5.0156\n",
+      " and the parameters are [-3.16507471  4.263767  ] -5.6150277929232635 ;\n",
+      "Epoch 850/1000, Cost: 1.8941\n",
+      " and the parameters are [-3.16513326  4.26370872] -5.615063086621327 ;\n",
+      "Epoch 850/1000, Cost: 2.9029\n",
+      " and the parameters are [-3.1651198   4.26380552] -5.615029176130265 ;\n",
+      "Epoch 850/1000, Cost: 3.6597\n",
+      " and the parameters are [-3.16518248  4.2638691 ] -5.614960724310091 ;\n",
+      "Epoch 850/1000, Cost: 1.5483\n",
+      " and the parameters are [-3.16520651  4.26389675] -5.614950037374046 ;\n",
+      "Epoch 850/1000, Cost: 5.1246\n",
+      " and the parameters are [-3.16521002  4.26382705] -5.615002201409217 ;\n",
+      "Epoch 850/1000, Cost: 2.2474\n",
+      " and the parameters are [-3.1652357   4.26378171] -5.615035634160791 ;\n",
+      "Epoch 850/1000, Cost: 1.0360\n",
+      " and the parameters are [-3.16523405  4.26380106] -5.615042824186576 ;\n",
+      "Epoch 850/1000, Cost: 1.7899\n",
+      " and the parameters are [-3.16527506  4.26376441] -5.615079987972585 ;\n",
+      "Epoch 850/1000, Cost: 3.0413\n",
+      " and the parameters are [-3.16530603  4.26379295] -5.615069137246779 ;\n",
+      "Epoch 850/1000, Cost: 4.5708\n",
+      " and the parameters are [-3.16524775  4.26379959] -5.615116944129445 ;\n",
+      "Epoch 850/1000, Cost: 5.4459\n",
+      " and the parameters are [-3.16524447  4.26378966] -5.615108495061114 ;\n",
+      "Epoch 850/1000, Cost: 1.2480\n",
+      " and the parameters are [-3.16528273  4.26374555] -5.615140338340681 ;\n",
+      "Epoch 850/1000, Cost: 4.2363\n",
+      " and the parameters are [-3.16532008  4.26373722] -5.61513487841344 ;\n",
+      "Epoch 850/1000, Cost: 4.5878\n",
+      " and the parameters are [-3.16521857  4.26385479] -5.615128815162365 ;\n",
+      "Epoch 850/1000, Cost: 1.1437\n",
+      " and the parameters are [-3.16522677  4.26388363] -5.615126432248486 ;\n",
+      "Epoch 850/1000, Cost: 1.6098\n",
+      " and the parameters are [-3.16522951  4.2639363 ] -5.615110222585705 ;\n",
+      "Epoch 850/1000, Cost: 2.0205\n",
+      " and the parameters are [-3.16524546  4.26391859] -5.615147259813561 ;\n",
+      "Epoch 850/1000, Cost: 3.2862\n",
+      " and the parameters are [-3.16522322  4.2638673 ] -5.615202729177568 ;\n",
+      "Epoch 850/1000, Cost: 2.1277\n",
+      " and the parameters are [-3.16528288  4.2637875 ] -5.615247487657529 ;\n",
+      "Epoch 850/1000, Cost: 0.9974\n",
+      " and the parameters are [-3.16526045  4.26382163] -5.615250432143162 ;\n",
+      "Epoch 850/1000, Cost: 3.2274\n",
+      " and the parameters are [-3.16523098  4.26382587] -5.615269650487556 ;\n",
+      "Epoch 850/1000, Cost: 3.3222\n",
+      " and the parameters are [-3.16520891  4.26380627] -5.615322492968224 ;\n",
+      "Epoch 850/1000, Cost: 2.0492\n",
+      " and the parameters are [-3.16526609  4.26375383] -5.61534367101206 ;\n",
+      "Epoch 850/1000, Cost: 2.3464\n",
+      " and the parameters are [-3.16525288  4.26380627] -5.6153427937199165 ;\n",
+      "Epoch 850/1000, Cost: 12.7469\n",
+      " and the parameters are [-3.16522803  4.26382908] -5.6152866731961915 ;\n",
+      "Epoch 850/1000, Cost: 1.4547\n",
+      " and the parameters are [-3.16523527  4.26386264] -5.615275774320542 ;\n",
+      "Epoch 860/1000, Cost: 2.0594\n",
+      " and the parameters are [-3.17369627  4.27451304] -5.630353896255843 ;\n",
+      "Epoch 860/1000, Cost: 1.8124\n",
+      " and the parameters are [-3.17367387  4.27447963] -5.630414919308957 ;\n",
+      "Epoch 860/1000, Cost: 8.3691\n",
+      " and the parameters are [-3.17377503  4.27453145] -5.6302861758444065 ;\n",
+      "Epoch 860/1000, Cost: 1.0552\n",
+      " and the parameters are [-3.17378521  4.2745811 ] -5.630259814641148 ;\n",
+      "Epoch 860/1000, Cost: 2.4875\n",
+      " and the parameters are [-3.17378673  4.27463365] -5.63022721046067 ;\n",
+      "Epoch 860/1000, Cost: 1.5028\n",
+      " and the parameters are [-3.17378435  4.27471032] -5.630192320932381 ;\n",
+      "Epoch 860/1000, Cost: 1.5450\n",
+      " and the parameters are [-3.1737742   4.27477706] -5.630174465737046 ;\n",
+      "Epoch 860/1000, Cost: 1.9917\n",
+      " and the parameters are [-3.17382362  4.27472861] -5.630208311187811 ;\n",
+      "Epoch 860/1000, Cost: 6.5058\n",
+      " and the parameters are [-3.17384689  4.27451854] -5.630356986266461 ;\n",
+      "Epoch 860/1000, Cost: 2.7896\n",
+      " and the parameters are [-3.17379059  4.27463197] -5.630336557933186 ;\n",
+      "Epoch 860/1000, Cost: 1.2139\n",
+      " and the parameters are [-3.17378672  4.27462946] -5.6303656259882535 ;\n",
+      "Epoch 860/1000, Cost: 0.4004\n",
+      " and the parameters are [-3.1737902   4.27465032] -5.6303584430981735 ;\n",
+      "Epoch 860/1000, Cost: 2.3357\n",
+      " and the parameters are [-3.17387403  4.27451681] -5.630433113097777 ;\n",
+      "Epoch 860/1000, Cost: 4.3065\n",
+      " and the parameters are [-3.17386215  4.27456643] -5.630407708148152 ;\n",
+      "Epoch 860/1000, Cost: 2.9850\n",
+      " and the parameters are [-3.17389614  4.27454043] -5.630443959216702 ;\n",
+      "Epoch 860/1000, Cost: 2.8952\n",
+      " and the parameters are [-3.17389484  4.27459854] -5.630417974346049 ;\n",
+      "Epoch 860/1000, Cost: 1.6009\n",
+      " and the parameters are [-3.17390236  4.27467447] -5.630377790150703 ;\n",
+      "Epoch 860/1000, Cost: 2.7262\n",
+      " and the parameters are [-3.17392787  4.27464811] -5.630402780503915 ;\n",
+      "Epoch 860/1000, Cost: 1.3714\n",
+      " and the parameters are [-3.17389054  4.27467227] -5.630431285940753 ;\n",
+      "Epoch 860/1000, Cost: 4.8355\n",
+      " and the parameters are [-3.17392688  4.27466574] -5.630408749618787 ;\n",
+      "Epoch 860/1000, Cost: 4.1125\n",
+      " and the parameters are [-3.17381382  4.27465892] -5.630480343455511 ;\n",
+      "Epoch 860/1000, Cost: 2.3668\n",
+      " and the parameters are [-3.17377016  4.27462241] -5.630545333521283 ;\n",
+      "Epoch 860/1000, Cost: 3.1523\n",
+      " and the parameters are [-3.17380599  4.27455311] -5.630604390600953 ;\n",
+      "Epoch 860/1000, Cost: 5.0025\n",
+      " and the parameters are [-3.17374814  4.2744508 ] -5.6307062734404605 ;\n",
+      "Epoch 860/1000, Cost: 2.3961\n",
+      " and the parameters are [-3.17370988  4.27446052] -5.630744939231123 ;\n",
+      "Epoch 860/1000, Cost: 1.3131\n",
+      " and the parameters are [-3.17373198  4.27445912] -5.630748405003403 ;\n",
+      "Epoch 860/1000, Cost: 1.0897\n",
+      " and the parameters are [-3.17373669  4.27451299] -5.6307284337581205 ;\n",
+      "Epoch 860/1000, Cost: 5.2331\n",
+      " and the parameters are [-3.17380527  4.27429678] -5.630857764982113 ;\n",
+      "Epoch 860/1000, Cost: 2.1485\n",
+      " and the parameters are [-3.17378424  4.27439236] -5.630819891645495 ;\n",
+      "Epoch 860/1000, Cost: 4.9853\n",
+      " and the parameters are [-3.1737984  4.2744691] -5.630744275752205 ;\n",
+      "Epoch 860/1000, Cost: 1.5567\n",
+      " and the parameters are [-3.17381244  4.2744227 ] -5.630795231258459 ;\n",
+      "Epoch 860/1000, Cost: 2.7587\n",
+      " and the parameters are [-3.17383866  4.27433561] -5.6308734006289205 ;\n",
+      "Epoch 860/1000, Cost: 1.3099\n",
+      " and the parameters are [-3.17385671  4.2743266 ] -5.630893869105614 ;\n",
+      "Epoch 860/1000, Cost: 3.0289\n",
+      " and the parameters are [-3.17384034  4.2742842 ] -5.630952968559429 ;\n",
+      "Epoch 860/1000, Cost: 3.6094\n",
+      " and the parameters are [-3.17380474  4.27433098] -5.630946596964696 ;\n",
+      "Epoch 860/1000, Cost: 1.5224\n",
+      " and the parameters are [-3.17379482  4.27436016] -5.630953563950983 ;\n",
+      "Epoch 860/1000, Cost: 3.2851\n",
+      " and the parameters are [-3.17381653  4.27430201] -5.63100345384543 ;\n",
+      "Epoch 860/1000, Cost: 6.2534\n",
+      " and the parameters are [-3.17379802  4.2742395 ] -5.631059743305365 ;\n",
+      "Epoch 860/1000, Cost: 1.3265\n",
+      " and the parameters are [-3.17381175  4.27428921] -5.63103324831981 ;\n",
+      "Epoch 860/1000, Cost: 3.1842\n",
+      " and the parameters are [-3.17382347  4.27425348] -5.631069192955348 ;\n",
+      "Epoch 860/1000, Cost: 0.8787\n",
+      " and the parameters are [-3.17382021  4.27428797] -5.6310665665233675 ;\n",
+      "Epoch 860/1000, Cost: 2.3433\n",
+      " and the parameters are [-3.17378853  4.27433278] -5.631077566832413 ;\n",
+      "Epoch 860/1000, Cost: 3.7823\n",
+      " and the parameters are [-3.1738309   4.27434464] -5.631066167838392 ;\n",
+      "Epoch 860/1000, Cost: 1.2421\n",
+      " and the parameters are [-3.1738619   4.27433049] -5.631077565173471 ;\n",
+      "Epoch 860/1000, Cost: 1.6884\n",
+      " and the parameters are [-3.17387917  4.27432739] -5.631095729723508 ;\n",
+      "Epoch 860/1000, Cost: 0.8915\n",
+      " and the parameters are [-3.17388729  4.27433521] -5.631106120704942 ;\n",
+      "Epoch 860/1000, Cost: 0.7070\n",
+      " and the parameters are [-3.17389418  4.2743245 ] -5.631124513887179 ;\n",
+      "Epoch 860/1000, Cost: 2.3971\n",
+      " and the parameters are [-3.17386636  4.27425826] -5.631213442935293 ;\n",
+      "Epoch 860/1000, Cost: 4.2796\n",
+      " and the parameters are [-3.17395555  4.27418267] -5.631226487226167 ;\n",
+      "Epoch 860/1000, Cost: 2.9632\n",
+      " and the parameters are [-3.17391372  4.27418907] -5.631278138428126 ;\n",
+      "Epoch 860/1000, Cost: 3.2133\n",
+      " and the parameters are [-3.1738951   4.27420714] -5.631303214719765 ;\n",
+      "Epoch 860/1000, Cost: 2.7054\n",
+      " and the parameters are [-3.17386498  4.27419382] -5.631358721503188 ;\n",
+      "Epoch 860/1000, Cost: 7.0717\n",
+      " and the parameters are [-3.1737984   4.27429389] -5.63128684428174 ;\n",
+      "Epoch 860/1000, Cost: 5.0555\n",
+      " and the parameters are [-3.17379062  4.27423909] -5.631345042867683 ;\n",
+      "Epoch 860/1000, Cost: 1.2616\n",
+      " and the parameters are [-3.17380563  4.27430987] -5.631307022377267 ;\n",
+      "Epoch 860/1000, Cost: 3.6862\n",
+      " and the parameters are [-3.17384423  4.27431021] -5.6313040767279805 ;\n",
+      "Epoch 860/1000, Cost: 6.8329\n",
+      " and the parameters are [-3.17377586  4.27424045] -5.631373198802782 ;\n",
+      "Epoch 860/1000, Cost: 1.9630\n",
+      " and the parameters are [-3.17377626  4.27419526] -5.631418425123138 ;\n",
+      "Epoch 860/1000, Cost: 6.2262\n",
+      " and the parameters are [-3.17380628  4.27419417] -5.631396290381411 ;\n",
+      "Epoch 860/1000, Cost: 3.9397\n",
+      " and the parameters are [-3.17382561  4.27426167] -5.631351351732678 ;\n",
+      "Epoch 860/1000, Cost: 1.4057\n",
+      " and the parameters are [-3.17383906  4.27429225] -5.631340433727855 ;\n",
+      "Epoch 860/1000, Cost: 1.8201\n",
+      " and the parameters are [-3.17384575  4.27433752] -5.631327894920868 ;\n",
+      "Epoch 860/1000, Cost: 2.0394\n",
+      " and the parameters are [-3.17387444  4.27440703] -5.63127106707573 ;\n",
+      "Epoch 860/1000, Cost: 1.0747\n",
+      " and the parameters are [-3.17389582  4.2744118 ] -5.631274315034366 ;\n",
+      "Epoch 860/1000, Cost: 3.2946\n",
+      " and the parameters are [-3.17384327  4.27442814] -5.631305793180321 ;\n",
+      "Epoch 860/1000, Cost: 5.0699\n",
+      " and the parameters are [-3.17388314  4.27427333] -5.63141045715223 ;\n",
+      "Epoch 860/1000, Cost: 1.1996\n",
+      " and the parameters are [-3.17386836  4.27434364] -5.6313895855697105 ;\n",
+      "Epoch 860/1000, Cost: 3.4129\n",
+      " and the parameters are [-3.17387682  4.27444313] -5.631338050214159 ;\n",
+      "Epoch 860/1000, Cost: 2.1113\n",
+      " and the parameters are [-3.17379884  4.27458115] -5.631292729707221 ;\n",
+      "Epoch 860/1000, Cost: 6.3798\n",
+      " and the parameters are [-3.17387524  4.27452562] -5.631277935375621 ;\n",
+      "Epoch 860/1000, Cost: 1.7571\n",
+      " and the parameters are [-3.17389257  4.27454468] -5.631280697060407 ;\n",
+      "Epoch 860/1000, Cost: 3.1643\n",
+      " and the parameters are [-3.17387157  4.27466361] -5.631211241957282 ;\n",
+      "Epoch 860/1000, Cost: 1.9209\n",
+      " and the parameters are [-3.1738908   4.27464696] -5.631235640724936 ;\n",
+      "Epoch 860/1000, Cost: 1.2783\n",
+      " and the parameters are [-3.17391232  4.27461934] -5.631268655719025 ;\n",
+      "Epoch 860/1000, Cost: 0.6482\n",
+      " and the parameters are [-3.17391264  4.27464068] -5.631268960963548 ;\n",
+      "Epoch 860/1000, Cost: 1.6725\n",
+      " and the parameters are [-3.17393712  4.27466464] -5.631268793364935 ;\n",
+      "Epoch 860/1000, Cost: 4.1652\n",
+      " and the parameters are [-3.17389625  4.27472155] -5.631264852336009 ;\n",
+      "Epoch 860/1000, Cost: 2.9819\n",
+      " and the parameters are [-3.17390269  4.27462754] -5.631351116871619 ;\n",
+      "Epoch 860/1000, Cost: 4.0791\n",
+      " and the parameters are [-3.1738479   4.27462743] -5.631386754353179 ;\n",
+      "Epoch 860/1000, Cost: 1.4285\n",
+      " and the parameters are [-3.17385258  4.27461951] -5.631414949505163 ;\n",
+      "Epoch 860/1000, Cost: 6.5183\n",
+      " and the parameters are [-3.17383635  4.2747817 ] -5.631294811235992 ;\n",
+      "Epoch 860/1000, Cost: 3.6508\n",
+      " and the parameters are [-3.17381197  4.27480031] -5.631302444053823 ;\n",
+      "Epoch 860/1000, Cost: 1.7233\n",
+      " and the parameters are [-3.17386753  4.27476993] -5.63132216750774 ;\n",
+      "Epoch 860/1000, Cost: 1.8285\n",
+      " and the parameters are [-3.17386456  4.27477047] -5.63133453265128 ;\n",
+      "Epoch 860/1000, Cost: 1.1032\n",
+      " and the parameters are [-3.17389001  4.27476827] -5.6313423784497045 ;\n",
+      "Epoch 860/1000, Cost: 4.9850\n",
+      " and the parameters are [-3.17386944  4.27474201] -5.63137464216112 ;\n",
+      "Epoch 860/1000, Cost: 4.2906\n",
+      " and the parameters are [-3.17388442  4.27467009] -5.631434573941193 ;\n",
+      "Epoch 860/1000, Cost: 4.6371\n",
+      " and the parameters are [-3.17390824  4.27463315] -5.631449215945906 ;\n",
+      "Epoch 860/1000, Cost: 2.0905\n",
+      " and the parameters are [-3.1739313   4.27463157] -5.631444193696963 ;\n",
+      "Epoch 860/1000, Cost: 2.4558\n",
+      " and the parameters are [-3.17392287  4.27466366] -5.631447578659809 ;\n",
+      "Epoch 860/1000, Cost: 0.9510\n",
+      " and the parameters are [-3.17392671  4.27470405] -5.631434214344793 ;\n",
+      "Epoch 860/1000, Cost: 8.3247\n",
+      " and the parameters are [-3.17390298  4.27467603] -5.631458481876853 ;\n",
+      "Epoch 860/1000, Cost: 0.8253\n",
+      " and the parameters are [-3.17390436  4.27468834] -5.631468300751998 ;\n",
+      "Epoch 860/1000, Cost: 1.1913\n",
+      " and the parameters are [-3.17391108  4.27472419] -5.6314637212597365 ;\n",
+      "Epoch 860/1000, Cost: 3.5258\n",
+      " and the parameters are [-3.17395712  4.27466882] -5.631495231953596 ;\n",
+      "Epoch 860/1000, Cost: 3.0998\n",
+      " and the parameters are [-3.17388912  4.27478489] -5.631454962239195 ;\n",
+      "Epoch 860/1000, Cost: 6.2637\n",
+      " and the parameters are [-3.1740076   4.27468591] -5.631435496040263 ;\n",
+      "Epoch 860/1000, Cost: 2.5037\n",
+      " and the parameters are [-3.17402143  4.27472168] -5.63141994614843 ;\n",
+      "Epoch 860/1000, Cost: 4.5841\n",
+      " and the parameters are [-3.17406119  4.27463719] -5.63146713187914 ;\n",
+      "Epoch 860/1000, Cost: 4.0247\n",
+      " and the parameters are [-3.17406532  4.27461011] -5.631489341614459 ;\n",
+      "Epoch 860/1000, Cost: 1.9942\n",
+      " and the parameters are [-3.17412485  4.27464696] -5.631459571561812 ;\n",
+      "Epoch 860/1000, Cost: 2.4270\n",
+      " and the parameters are [-3.17405348  4.27477257] -5.631433354403661 ;\n",
+      "Epoch 860/1000, Cost: 3.9479\n",
+      " and the parameters are [-3.17410873  4.27466418] -5.631507977308248 ;\n",
+      "Epoch 860/1000, Cost: 2.1010\n",
+      " and the parameters are [-3.17410442  4.27476718] -5.6314503206849285 ;\n",
+      "Epoch 860/1000, Cost: 2.4074\n",
+      " and the parameters are [-3.17412612  4.27481242] -5.631427654657154 ;\n",
+      "Epoch 860/1000, Cost: 4.1819\n",
+      " and the parameters are [-3.17409414  4.27476975] -5.63149840139755 ;\n",
+      "Epoch 860/1000, Cost: 2.9983\n",
+      " and the parameters are [-3.17406851  4.27473758] -5.631556883981348 ;\n",
+      "Epoch 860/1000, Cost: 4.9649\n",
+      " and the parameters are [-3.17415296  4.27469714] -5.631556635789633 ;\n",
+      "Epoch 860/1000, Cost: 3.7577\n",
+      " and the parameters are [-3.17407494  4.27480609] -5.631546794273701 ;\n",
+      "Epoch 860/1000, Cost: 3.5962\n",
+      " and the parameters are [-3.17409126  4.27477108] -5.63157817476005 ;\n",
+      "Epoch 860/1000, Cost: 2.1322\n",
+      " and the parameters are [-3.17410999  4.2748276 ] -5.631550373535586 ;\n",
+      "Epoch 860/1000, Cost: 1.8662\n",
+      " and the parameters are [-3.17411962  4.27483657] -5.631567494826773 ;\n",
+      "Epoch 860/1000, Cost: 1.7215\n",
+      " and the parameters are [-3.17414523  4.27486908] -5.63154504557693 ;\n",
+      "Epoch 860/1000, Cost: 1.7869\n",
+      " and the parameters are [-3.17414392  4.27485442] -5.63158010250521 ;\n",
+      "Epoch 860/1000, Cost: 4.8837\n",
+      " and the parameters are [-3.17419257  4.27470891] -5.631662112418528 ;\n",
+      "Epoch 860/1000, Cost: 0.4134\n",
+      " and the parameters are [-3.17419892  4.27472321] -5.6316610318626745 ;\n",
+      "Epoch 860/1000, Cost: 3.7382\n",
+      " and the parameters are [-3.17415934  4.27477843] -5.631646546623165 ;\n",
+      "Epoch 860/1000, Cost: 1.2415\n",
+      " and the parameters are [-3.17417811  4.2747655 ] -5.631670639224009 ;\n",
+      "Epoch 860/1000, Cost: 7.5555\n",
+      " and the parameters are [-3.17418522  4.27487323] -5.631556782183913 ;\n",
+      "Epoch 860/1000, Cost: 1.9010\n",
+      " and the parameters are [-3.17420597  4.27486456] -5.631575386777406 ;\n",
+      "Epoch 860/1000, Cost: 2.5840\n",
+      " and the parameters are [-3.17416969  4.27498748] -5.631533878202822 ;\n",
+      "Epoch 860/1000, Cost: 2.6193\n",
+      " and the parameters are [-3.17420017  4.27497886] -5.631551316352534 ;\n",
+      "Epoch 860/1000, Cost: 4.4026\n",
+      " and the parameters are [-3.17416534  4.27498021] -5.631567150191914 ;\n",
+      "Epoch 860/1000, Cost: 4.2442\n",
+      " and the parameters are [-3.17414042  4.27494797] -5.631606398296183 ;\n",
+      "Epoch 860/1000, Cost: 3.0906\n",
+      " and the parameters are [-3.174182    4.27487961] -5.631663079382979 ;\n",
+      "Epoch 860/1000, Cost: 1.8594\n",
+      " and the parameters are [-3.17417735  4.27493917] -5.631639648985886 ;\n",
+      "Epoch 860/1000, Cost: 6.3299\n",
+      " and the parameters are [-3.17417049  4.27498815] -5.631603145887945 ;\n",
+      "Epoch 860/1000, Cost: 3.2706\n",
+      " and the parameters are [-3.17417306  4.27497493] -5.63163710771002 ;\n",
+      "Epoch 860/1000, Cost: 4.3470\n",
+      " and the parameters are [-3.17417303  4.27490744] -5.631685713470033 ;\n",
+      "Epoch 860/1000, Cost: 2.1918\n",
+      " and the parameters are [-3.17413711  4.27501427] -5.631642333197884 ;\n",
+      "Epoch 860/1000, Cost: 4.9527\n",
+      " and the parameters are [-3.1741016   4.27506441] -5.631616922686307 ;\n",
+      "Epoch 860/1000, Cost: 2.4169\n",
+      " and the parameters are [-3.17417415  4.27501086] -5.631636269134343 ;\n",
+      "Epoch 860/1000, Cost: 2.2652\n",
+      " and the parameters are [-3.17416386  4.27508817] -5.631600628703131 ;\n",
+      "Epoch 860/1000, Cost: 1.0703\n",
+      " and the parameters are [-3.17418184  4.27506257] -5.631633859187012 ;\n",
+      "Epoch 860/1000, Cost: 2.1058\n",
+      " and the parameters are [-3.1741251   4.27514478] -5.631637316157705 ;\n",
+      "Epoch 860/1000, Cost: 2.2661\n",
+      " and the parameters are [-3.17411205  4.27521217] -5.631627501476753 ;\n",
+      "Epoch 860/1000, Cost: 1.8405\n",
+      " and the parameters are [-3.1740914   4.27522323] -5.631645273817543 ;\n",
+      "Epoch 860/1000, Cost: 6.3833\n",
+      " and the parameters are [-3.17412329  4.27523173] -5.631622466567025 ;\n",
+      "Epoch 860/1000, Cost: 4.3347\n",
+      " and the parameters are [-3.17415693  4.275152  ] -5.631674762154295 ;\n",
+      "Epoch 860/1000, Cost: 3.7435\n",
+      " and the parameters are [-3.17420104  4.27503301] -5.631746507576854 ;\n",
+      "Epoch 860/1000, Cost: 1.3532\n",
+      " and the parameters are [-3.17420297  4.27499761] -5.6317959454124935 ;\n",
+      "Epoch 860/1000, Cost: 4.9905\n",
+      " and the parameters are [-3.17421706  4.2750315 ] -5.631763036310906 ;\n",
+      "Epoch 860/1000, Cost: 4.9153\n",
+      " and the parameters are [-3.17417845  4.27513835] -5.631705292528339 ;\n",
+      "Epoch 860/1000, Cost: 2.2219\n",
+      " and the parameters are [-3.17418713  4.27506019] -5.631769253228353 ;\n",
+      "Epoch 860/1000, Cost: 2.8112\n",
+      " and the parameters are [-3.17422357  4.27512118] -5.63173215611731 ;\n",
+      "Epoch 860/1000, Cost: 2.8883\n",
+      " and the parameters are [-3.17417527  4.27518788] -5.631726990356312 ;\n",
+      "Epoch 860/1000, Cost: 1.5542\n",
+      " and the parameters are [-3.17419731  4.27519075] -5.631734779124606 ;\n",
+      "Epoch 860/1000, Cost: 2.4873\n",
+      " and the parameters are [-3.17422706  4.27511498] -5.6317803100044515 ;\n",
+      "Epoch 860/1000, Cost: 3.9272\n",
+      " and the parameters are [-3.17419772  4.27510351] -5.6318334627869255 ;\n",
+      "Epoch 860/1000, Cost: 5.1343\n",
+      " and the parameters are [-3.17428573  4.27499318] -5.631871159402247 ;\n",
+      "Epoch 860/1000, Cost: 4.3352\n",
+      " and the parameters are [-3.1741987   4.27503432] -5.6318873510613034 ;\n",
+      "Epoch 860/1000, Cost: 2.3157\n",
+      " and the parameters are [-3.1742114   4.27503502] -5.631898966039413 ;\n",
+      "Epoch 860/1000, Cost: 2.4819\n",
+      " and the parameters are [-3.17423362  4.27505426] -5.631893691599529 ;\n",
+      "Epoch 860/1000, Cost: 1.8694\n",
+      " and the parameters are [-3.174296    4.27497284] -5.6319420875421935 ;\n",
+      "Epoch 860/1000, Cost: 1.5474\n",
+      " and the parameters are [-3.17432631  4.27492277] -5.631979898477642 ;\n",
+      "Epoch 860/1000, Cost: 2.7796\n",
+      " and the parameters are [-3.17432493  4.27500584] -5.631932595522054 ;\n",
+      "Epoch 860/1000, Cost: 2.5373\n",
+      " and the parameters are [-3.17430554  4.27503182] -5.631932703389025 ;\n",
+      "Epoch 860/1000, Cost: 2.4210\n",
+      " and the parameters are [-3.17422479  4.27515566] -5.631908954766836 ;\n",
+      "Epoch 860/1000, Cost: 2.1180\n",
+      " and the parameters are [-3.17425335  4.27512162] -5.631931727495199 ;\n",
+      "Epoch 860/1000, Cost: 2.3018\n",
+      " and the parameters are [-3.17424064  4.275103  ] -5.6319811725802476 ;\n",
+      "Epoch 860/1000, Cost: 4.9364\n",
+      " and the parameters are [-3.17432509  4.2750729 ] -5.631947378206793 ;\n",
+      "Epoch 860/1000, Cost: 3.3162\n",
+      " and the parameters are [-3.17436825  4.27511195] -5.6319068262508 ;\n",
+      "Epoch 860/1000, Cost: 3.4469\n",
+      " and the parameters are [-3.1743488   4.27518255] -5.631901456615648 ;\n",
+      "Epoch 860/1000, Cost: 3.1204\n",
+      " and the parameters are [-3.17435918  4.27520178] -5.631903083907118 ;\n",
+      "Epoch 860/1000, Cost: 1.2018\n",
+      " and the parameters are [-3.17436856  4.27524839] -5.631883567214467 ;\n",
+      "Epoch 860/1000, Cost: 1.5433\n",
+      " and the parameters are [-3.17437647  4.27525346] -5.63189760321495 ;\n",
+      "Epoch 860/1000, Cost: 10.2334\n",
+      " and the parameters are [-3.17433043  4.2751486 ] -5.631959957076272 ;\n",
+      "Epoch 860/1000, Cost: 1.6710\n",
+      " and the parameters are [-3.17429918  4.27520768] -5.631962611779506 ;\n",
+      "Epoch 860/1000, Cost: 1.4914\n",
+      " and the parameters are [-3.17430513  4.27520601] -5.631975620952852 ;\n",
+      "Epoch 860/1000, Cost: 3.0865\n",
+      " and the parameters are [-3.17432872  4.27518664] -5.631997572637511 ;\n",
+      "Epoch 860/1000, Cost: 1.9106\n",
+      " and the parameters are [-3.17434262  4.27522356] -5.631981639261379 ;\n",
+      "Epoch 860/1000, Cost: 2.2788\n",
+      " and the parameters are [-3.17431694  4.27529836] -5.631963983061986 ;\n",
+      "Epoch 860/1000, Cost: 5.0043\n",
+      " and the parameters are [-3.17440413  4.27523232] -5.63198084672499 ;\n",
+      "Epoch 860/1000, Cost: 2.5684\n",
+      " and the parameters are [-3.17437931  4.27536248] -5.6319184750225295 ;\n",
+      "Epoch 860/1000, Cost: 1.2697\n",
+      " and the parameters are [-3.174396    4.27538853] -5.631912538107723 ;\n",
+      "Epoch 860/1000, Cost: 4.0015\n",
+      " and the parameters are [-3.17433576  4.27553102] -5.6318634602235935 ;\n",
+      "Epoch 860/1000, Cost: 2.0667\n",
+      " and the parameters are [-3.1743872   4.27541142] -5.631945193799114 ;\n",
+      "Epoch 860/1000, Cost: 1.8461\n",
+      " and the parameters are [-3.17438444  4.27541569] -5.631975969745339 ;\n",
+      "Epoch 860/1000, Cost: 2.0923\n",
+      " and the parameters are [-3.17444675  4.27533046] -5.632018873799606 ;\n",
+      "Epoch 860/1000, Cost: 1.7519\n",
+      " and the parameters are [-3.17447325  4.27530912] -5.632041210104729 ;\n",
+      "Epoch 860/1000, Cost: 2.7621\n",
+      " and the parameters are [-3.17438048  4.2753849 ] -5.632054796640942 ;\n",
+      "Epoch 860/1000, Cost: 1.1970\n",
+      " and the parameters are [-3.17440683  4.27539751] -5.632052305109365 ;\n",
+      "Epoch 860/1000, Cost: 3.7401\n",
+      " and the parameters are [-3.17441485  4.27531575] -5.632123901209825 ;\n",
+      "Epoch 860/1000, Cost: 3.7290\n",
+      " and the parameters are [-3.17438514  4.27525759] -5.6322065899030065 ;\n",
+      "Epoch 860/1000, Cost: 1.7944\n",
+      " and the parameters are [-3.17437853  4.27522464] -5.632261044726679 ;\n",
+      "Epoch 860/1000, Cost: 2.2098\n",
+      " and the parameters are [-3.17433639  4.27527991] -5.632268673065818 ;\n",
+      "Epoch 860/1000, Cost: 2.3294\n",
+      " and the parameters are [-3.17437241  4.27532859] -5.632242457944987 ;\n",
+      "Epoch 860/1000, Cost: 3.9031\n",
+      " and the parameters are [-3.17432698  4.27551674] -5.632148076024394 ;\n",
+      "Epoch 860/1000, Cost: 2.1932\n",
+      " and the parameters are [-3.17439282  4.2755153 ] -5.6321364325049625 ;\n",
+      "Epoch 860/1000, Cost: 0.4922\n",
+      " and the parameters are [-3.17439523  4.27552707] -5.632138971273251 ;\n",
+      "Epoch 860/1000, Cost: 1.3747\n",
+      " and the parameters are [-3.17439937  4.27556507] -5.632131710743602 ;\n",
+      "Epoch 860/1000, Cost: 2.2331\n",
+      " and the parameters are [-3.17437521  4.27557447] -5.632162581151784 ;\n",
+      "Epoch 860/1000, Cost: 6.5243\n",
+      " and the parameters are [-3.17438     4.27559631] -5.632145234821595 ;\n",
+      "Epoch 860/1000, Cost: 4.6119\n",
+      " and the parameters are [-3.1744988   4.27550165] -5.632145253685919 ;\n",
+      "Epoch 860/1000, Cost: 2.8617\n",
+      " and the parameters are [-3.17446834  4.27555772] -5.632129003644116 ;\n",
+      "Epoch 860/1000, Cost: 3.5969\n",
+      " and the parameters are [-3.17452587  4.2755478 ] -5.632112522443113 ;\n",
+      "Epoch 860/1000, Cost: 7.3740\n",
+      " and the parameters are [-3.17462664  4.27539688] -5.632168436476701 ;\n",
+      "Epoch 860/1000, Cost: 4.6162\n",
+      " and the parameters are [-3.17458512  4.27543179] -5.632177099788857 ;\n",
+      "Epoch 860/1000, Cost: 6.3398\n",
+      " and the parameters are [-3.17458022  4.27561919] -5.632039366414418 ;\n",
+      "Epoch 860/1000, Cost: 2.3643\n",
+      " and the parameters are [-3.17462202  4.27565604] -5.632014621013811 ;\n",
+      "Epoch 870/1000, Cost: 1.0800\n",
+      " and the parameters are [-3.18296741  4.2862096 ] -5.646901878682975 ;\n",
+      "Epoch 870/1000, Cost: 1.5239\n",
+      " and the parameters are [-3.18300282  4.2861781 ] -5.646923554977493 ;\n",
+      "Epoch 870/1000, Cost: 2.9884\n",
+      " and the parameters are [-3.18291512  4.28617936] -5.646981288375846 ;\n",
+      "Epoch 870/1000, Cost: 1.7854\n",
+      " and the parameters are [-3.18290498  4.28620937] -5.646992851393859 ;\n",
+      "Epoch 870/1000, Cost: 1.4458\n",
+      " and the parameters are [-3.18292403  4.28620434] -5.647011076656456 ;\n",
+      "Epoch 870/1000, Cost: 0.5769\n",
+      " and the parameters are [-3.18292702  4.28621807] -5.647014369902937 ;\n",
+      "Epoch 870/1000, Cost: 3.5551\n",
+      " and the parameters are [-3.18291585  4.28627837] -5.6469929272981 ;\n",
+      "Epoch 870/1000, Cost: 8.4441\n",
+      " and the parameters are [-3.18302435  4.28610732] -5.647052534837356 ;\n",
+      "Epoch 870/1000, Cost: 2.2872\n",
+      " and the parameters are [-3.1830178   4.28612316] -5.647069416966561 ;\n",
+      "Epoch 870/1000, Cost: 2.5991\n",
+      " and the parameters are [-3.1830729   4.28605217] -5.647116672586765 ;\n",
+      "Epoch 870/1000, Cost: 0.7027\n",
+      " and the parameters are [-3.18308923  4.28604909] -5.647127817880454 ;\n",
+      "Epoch 870/1000, Cost: 3.8659\n",
+      " and the parameters are [-3.18302703  4.28618758] -5.647078595634874 ;\n",
+      "Epoch 870/1000, Cost: 2.8466\n",
+      " and the parameters are [-3.18297488  4.28618305] -5.647140539091795 ;\n",
+      "Epoch 870/1000, Cost: 4.0929\n",
+      " and the parameters are [-3.18301155  4.28608444] -5.647204826389901 ;\n",
+      "Epoch 870/1000, Cost: 0.6168\n",
+      " and the parameters are [-3.18300036  4.2861256 ] -5.647196914925493 ;\n",
+      "Epoch 870/1000, Cost: 1.3574\n",
+      " and the parameters are [-3.18299637  4.28617049] -5.647180092161873 ;\n",
+      "Epoch 870/1000, Cost: 1.5992\n",
+      " and the parameters are [-3.18297438  4.28627005] -5.647147541930831 ;\n",
+      "Epoch 870/1000, Cost: 2.0533\n",
+      " and the parameters are [-3.18303924  4.28627439] -5.647135218493841 ;\n",
+      "Epoch 870/1000, Cost: 1.7437\n",
+      " and the parameters are [-3.1830304   4.28629629] -5.647144969945831 ;\n",
+      "Epoch 870/1000, Cost: 4.9858\n",
+      " and the parameters are [-3.18303765  4.28629698] -5.647140115596538 ;\n",
+      "Epoch 870/1000, Cost: 1.8925\n",
+      " and the parameters are [-3.18302646  4.28628497] -5.647182625031393 ;\n",
+      "Epoch 870/1000, Cost: 3.3543\n",
+      " and the parameters are [-3.18302564  4.2863295 ] -5.647168956005998 ;\n",
+      "Epoch 870/1000, Cost: 2.5672\n",
+      " and the parameters are [-3.18303224  4.28632232] -5.64718251195821 ;\n",
+      "Epoch 870/1000, Cost: 2.7253\n",
+      " and the parameters are [-3.18306107  4.28627791] -5.647232521253095 ;\n",
+      "Epoch 870/1000, Cost: 2.4377\n",
+      " and the parameters are [-3.18304216  4.28637961] -5.6471902387765684 ;\n",
+      "Epoch 870/1000, Cost: 4.6289\n",
+      " and the parameters are [-3.18320706  4.28628523] -5.647182727985938 ;\n",
+      "Epoch 870/1000, Cost: 5.3831\n",
+      " and the parameters are [-3.18317066  4.28615055] -5.647320393162474 ;\n",
+      "Epoch 870/1000, Cost: 1.3459\n",
+      " and the parameters are [-3.1831921   4.28615856] -5.6473294544974575 ;\n",
+      "Epoch 870/1000, Cost: 4.4481\n",
+      " and the parameters are [-3.18324591  4.28609981] -5.647351918440319 ;\n",
+      "Epoch 870/1000, Cost: 2.9847\n",
+      " and the parameters are [-3.18328872  4.28611836] -5.64732061070606 ;\n",
+      "Epoch 870/1000, Cost: 4.5328\n",
+      " and the parameters are [-3.18334916  4.28601407] -5.647371519193108 ;\n",
+      "Epoch 870/1000, Cost: 2.4131\n",
+      " and the parameters are [-3.18333594  4.28600109] -5.64741012065139 ;\n",
+      "Epoch 870/1000, Cost: 1.5410\n",
+      " and the parameters are [-3.18330479  4.28605648] -5.647406101098725 ;\n",
+      "Epoch 870/1000, Cost: 3.1700\n",
+      " and the parameters are [-3.1832713   4.28603873] -5.6474469801670875 ;\n",
+      "Epoch 870/1000, Cost: 2.9935\n",
+      " and the parameters are [-3.18320583  4.28615431] -5.647414810600174 ;\n",
+      "Epoch 870/1000, Cost: 3.0358\n",
+      " and the parameters are [-3.18317267  4.28611525] -5.6474775517326785 ;\n",
+      "Epoch 870/1000, Cost: 1.8576\n",
+      " and the parameters are [-3.18313604  4.28617288] -5.647480945777009 ;\n",
+      "Epoch 870/1000, Cost: 2.6053\n",
+      " and the parameters are [-3.18309319  4.28622332] -5.647498514230193 ;\n",
+      "Epoch 870/1000, Cost: 2.8433\n",
+      " and the parameters are [-3.18313247  4.28634255] -5.647397920483474 ;\n",
+      "Epoch 870/1000, Cost: 2.0003\n",
+      " and the parameters are [-3.18312423  4.28637248] -5.64740594815038 ;\n",
+      "Epoch 870/1000, Cost: 5.6705\n",
+      " and the parameters are [-3.18303913  4.2863678 ] -5.647463568439836 ;\n",
+      "Epoch 870/1000, Cost: 3.8943\n",
+      " and the parameters are [-3.18308636  4.28634737] -5.647451254996697 ;\n",
+      "Epoch 870/1000, Cost: 2.9214\n",
+      " and the parameters are [-3.18319583  4.2862524 ] -5.647480531443874 ;\n",
+      "Epoch 870/1000, Cost: 4.7031\n",
+      " and the parameters are [-3.18322087  4.28628418] -5.647435196286104 ;\n",
+      "Epoch 870/1000, Cost: 3.5325\n",
+      " and the parameters are [-3.18321051  4.28636962] -5.64739284061575 ;\n",
+      "Epoch 870/1000, Cost: 2.4914\n",
+      " and the parameters are [-3.18332219  4.28633108] -5.64737527921049 ;\n",
+      "Epoch 870/1000, Cost: 0.9454\n",
+      " and the parameters are [-3.18332702  4.28637073] -5.647364219874099 ;\n",
+      "Epoch 870/1000, Cost: 2.9256\n",
+      " and the parameters are [-3.18332423  4.28634041] -5.64741179146681 ;\n",
+      "Epoch 870/1000, Cost: 7.7313\n",
+      " and the parameters are [-3.18333333  4.28639922] -5.64735043977653 ;\n",
+      "Epoch 870/1000, Cost: 1.6845\n",
+      " and the parameters are [-3.18334572  4.28641229] -5.64735515945993 ;\n",
+      "Epoch 870/1000, Cost: 1.0779\n",
+      " and the parameters are [-3.18334747  4.28642775] -5.647364590908926 ;\n",
+      "Epoch 870/1000, Cost: 3.7160\n",
+      " and the parameters are [-3.18337971  4.28649348] -5.647304784051236 ;\n",
+      "Epoch 870/1000, Cost: 1.5242\n",
+      " and the parameters are [-3.18337168  4.28656795] -5.647274508421911 ;\n",
+      "Epoch 870/1000, Cost: 1.9049\n",
+      " and the parameters are [-3.18335047  4.28662077] -5.647276735111289 ;\n",
+      "Epoch 870/1000, Cost: 3.4705\n",
+      " and the parameters are [-3.18338909  4.28666274] -5.647240490309022 ;\n",
+      "Epoch 870/1000, Cost: 2.8599\n",
+      " and the parameters are [-3.1834566   4.28666074] -5.647217512088924 ;\n",
+      "Epoch 870/1000, Cost: 6.5103\n",
+      " and the parameters are [-3.18348542  4.28641721] -5.647386282685803 ;\n",
+      "Epoch 870/1000, Cost: 3.1305\n",
+      " and the parameters are [-3.1834743   4.28649506] -5.647344824904639 ;\n",
+      "Epoch 870/1000, Cost: 1.9224\n",
+      " and the parameters are [-3.18341511  4.28662079] -5.647296708897507 ;\n",
+      "Epoch 870/1000, Cost: 1.4220\n",
+      " and the parameters are [-3.18341154  4.28657127] -5.647347054321838 ;\n",
+      "Epoch 870/1000, Cost: 3.3682\n",
+      " and the parameters are [-3.18341594  4.28645334] -5.647447824082277 ;\n",
+      "Epoch 870/1000, Cost: 6.9215\n",
+      " and the parameters are [-3.18338513  4.28647643] -5.647431277505275 ;\n",
+      "Epoch 870/1000, Cost: 2.5216\n",
+      " and the parameters are [-3.18337098  4.28644686] -5.647480018829823 ;\n",
+      "Epoch 870/1000, Cost: 2.6475\n",
+      " and the parameters are [-3.18334878  4.28655523] -5.647431897903154 ;\n",
+      "Epoch 870/1000, Cost: 0.7655\n",
+      " and the parameters are [-3.18335276  4.28658544] -5.647424960227563 ;\n",
+      "Epoch 870/1000, Cost: 7.4422\n",
+      " and the parameters are [-3.18344155  4.28631376] -5.647558770728735 ;\n",
+      "Epoch 870/1000, Cost: 4.2986\n",
+      " and the parameters are [-3.18347044  4.28626517] -5.647569282379139 ;\n",
+      "Epoch 870/1000, Cost: 11.6613\n",
+      " and the parameters are [-3.18345196  4.28624336] -5.6475474128846415 ;\n",
+      "Epoch 870/1000, Cost: 2.8224\n",
+      " and the parameters are [-3.18340856  4.28628119] -5.647567685431224 ;\n",
+      "Epoch 870/1000, Cost: 0.7784\n",
+      " and the parameters are [-3.18341901  4.28627399] -5.647586925284191 ;\n",
+      "Epoch 870/1000, Cost: 2.5742\n",
+      " and the parameters are [-3.18336992  4.28630684] -5.647605739250591 ;\n",
+      "Epoch 870/1000, Cost: 2.0090\n",
+      " and the parameters are [-3.18331819  4.28636358] -5.647623431212594 ;\n",
+      "Epoch 870/1000, Cost: 4.1582\n",
+      " and the parameters are [-3.1832252   4.28651723] -5.647569077417708 ;\n",
+      "Epoch 870/1000, Cost: 2.8102\n",
+      " and the parameters are [-3.18323812  4.28654962] -5.647552554629922 ;\n",
+      "Epoch 870/1000, Cost: 1.6062\n",
+      " and the parameters are [-3.18324608  4.28662642] -5.647508788910769 ;\n",
+      "Epoch 870/1000, Cost: 3.1442\n",
+      " and the parameters are [-3.18329801  4.28657489] -5.647537549021484 ;\n",
+      "Epoch 870/1000, Cost: 3.3103\n",
+      " and the parameters are [-3.18332685  4.2866097 ] -5.647516324003208 ;\n",
+      "Epoch 870/1000, Cost: 0.8368\n",
+      " and the parameters are [-3.18329654  4.28666588] -5.6475014812476205 ;\n",
+      "Epoch 870/1000, Cost: 1.8155\n",
+      " and the parameters are [-3.18330943  4.28660989] -5.6475632970106675 ;\n",
+      "Epoch 870/1000, Cost: 1.3537\n",
+      " and the parameters are [-3.18333591  4.28661156] -5.647572808618832 ;\n",
+      "Epoch 870/1000, Cost: 2.3153\n",
+      " and the parameters are [-3.18325216  4.28676948] -5.647519037439952 ;\n",
+      "Epoch 870/1000, Cost: 5.1807\n",
+      " and the parameters are [-3.18328315  4.28661592] -5.647615985388521 ;\n",
+      "Epoch 870/1000, Cost: 2.8323\n",
+      " and the parameters are [-3.18329804  4.28675152] -5.647528100575207 ;\n",
+      "Epoch 870/1000, Cost: 1.7622\n",
+      " and the parameters are [-3.1832994   4.28683831] -5.647479528948962 ;\n",
+      "Epoch 870/1000, Cost: 2.2329\n",
+      " and the parameters are [-3.18325905  4.28682445] -5.64751799141206 ;\n",
+      "Epoch 870/1000, Cost: 1.3272\n",
+      " and the parameters are [-3.18327807  4.2868555 ] -5.647509790815643 ;\n",
+      "Epoch 870/1000, Cost: 1.0565\n",
+      " and the parameters are [-3.18327888  4.28684133] -5.647537416976796 ;\n",
+      "Epoch 870/1000, Cost: 1.1807\n",
+      " and the parameters are [-3.18327644  4.28687277] -5.647540536690312 ;\n",
+      "Epoch 870/1000, Cost: 2.6452\n",
+      " and the parameters are [-3.18332835  4.28680085] -5.647586571426846 ;\n",
+      "Epoch 870/1000, Cost: 2.9276\n",
+      " and the parameters are [-3.1833566   4.28669741] -5.647663599742753 ;\n",
+      "Epoch 870/1000, Cost: 4.0842\n",
+      " and the parameters are [-3.183334    4.28672022] -5.647682316858389 ;\n",
+      "Epoch 870/1000, Cost: 3.3791\n",
+      " and the parameters are [-3.18328307  4.28678632] -5.6476850439958906 ;\n",
+      "Epoch 870/1000, Cost: 4.6204\n",
+      " and the parameters are [-3.18329958  4.2866914 ] -5.647746224872153 ;\n",
+      "Epoch 870/1000, Cost: 4.0436\n",
+      " and the parameters are [-3.18330612  4.28658923] -5.647826999390234 ;\n",
+      "Epoch 870/1000, Cost: 2.1348\n",
+      " and the parameters are [-3.18335364  4.28659814] -5.64781259267204 ;\n",
+      "Epoch 870/1000, Cost: 1.3323\n",
+      " and the parameters are [-3.18334854  4.28662087] -5.647823007051955 ;\n",
+      "Epoch 870/1000, Cost: 2.3726\n",
+      " and the parameters are [-3.18331545  4.28669984] -5.647794332700609 ;\n",
+      "Epoch 870/1000, Cost: 4.4704\n",
+      " and the parameters are [-3.1833112   4.28663518] -5.647870740440139 ;\n",
+      "Epoch 870/1000, Cost: 6.0838\n",
+      " and the parameters are [-3.18329838  4.28670602] -5.647834552519066 ;\n",
+      "Epoch 870/1000, Cost: 0.9855\n",
+      " and the parameters are [-3.18334313  4.286661  ] -5.647860471654253 ;\n",
+      "Epoch 870/1000, Cost: 5.0059\n",
+      " and the parameters are [-3.18329746  4.28673645] -5.6478210441091425 ;\n",
+      "Epoch 870/1000, Cost: 1.5041\n",
+      " and the parameters are [-3.18329323  4.28673554] -5.647851552803255 ;\n",
+      "Epoch 870/1000, Cost: 4.2228\n",
+      " and the parameters are [-3.18328633  4.2866728 ] -5.647910799606205 ;\n",
+      "Epoch 870/1000, Cost: 4.0068\n",
+      " and the parameters are [-3.18327694  4.2867591 ] -5.647854899204199 ;\n",
+      "Epoch 870/1000, Cost: 3.4564\n",
+      " and the parameters are [-3.18325369  4.28677873] -5.647858312201251 ;\n",
+      "Epoch 870/1000, Cost: 2.2491\n",
+      " and the parameters are [-3.18327888  4.28673746] -5.647882349759966 ;\n",
+      "Epoch 870/1000, Cost: 2.2293\n",
+      " and the parameters are [-3.18325973  4.28675125] -5.647905739304094 ;\n",
+      "Epoch 870/1000, Cost: 2.8099\n",
+      " and the parameters are [-3.18328667  4.28676358] -5.647899158784329 ;\n",
+      "Epoch 870/1000, Cost: 3.3264\n",
+      " and the parameters are [-3.18328079  4.2868    ] -5.647882678541176 ;\n",
+      "Epoch 870/1000, Cost: 1.5069\n",
+      " and the parameters are [-3.18331098  4.28675054] -5.64791788038939 ;\n",
+      "Epoch 870/1000, Cost: 0.9189\n",
+      " and the parameters are [-3.18330039  4.28679344] -5.647913865610792 ;\n",
+      "Epoch 870/1000, Cost: 3.0124\n",
+      " and the parameters are [-3.18333694  4.28671739] -5.647965571312311 ;\n",
+      "Epoch 870/1000, Cost: 4.4175\n",
+      " and the parameters are [-3.18324888  4.28664773] -5.648068396761333 ;\n",
+      "Epoch 870/1000, Cost: 2.4987\n",
+      " and the parameters are [-3.18331501  4.28656177] -5.648126503078981 ;\n",
+      "Epoch 870/1000, Cost: 2.8153\n",
+      " and the parameters are [-3.18331072  4.28667428] -5.6480595903305595 ;\n",
+      "Epoch 870/1000, Cost: 0.5005\n",
+      " and the parameters are [-3.18331156  4.2867009 ] -5.648054392601878 ;\n",
+      "Epoch 870/1000, Cost: 2.7316\n",
+      " and the parameters are [-3.18334836  4.28668161] -5.648073000524839 ;\n",
+      "Epoch 870/1000, Cost: 3.9489\n",
+      " and the parameters are [-3.18331865  4.2866526 ] -5.64813439681764 ;\n",
+      "Epoch 870/1000, Cost: 5.1813\n",
+      " and the parameters are [-3.18328743  4.2865142 ] -5.648261967583861 ;\n",
+      "Epoch 870/1000, Cost: 2.2030\n",
+      " and the parameters are [-3.18329127  4.28647121] -5.648311810470234 ;\n",
+      "Epoch 870/1000, Cost: 2.9764\n",
+      " and the parameters are [-3.18332952  4.2865728 ] -5.648225082565885 ;\n",
+      "Epoch 870/1000, Cost: 2.1150\n",
+      " and the parameters are [-3.18335549  4.28661249] -5.648213070808468 ;\n",
+      "Epoch 870/1000, Cost: 1.1285\n",
+      " and the parameters are [-3.18335911  4.28659216] -5.648248228591657 ;\n",
+      "Epoch 870/1000, Cost: 1.2112\n",
+      " and the parameters are [-3.18338482  4.28661271] -5.648238103741749 ;\n",
+      "Epoch 870/1000, Cost: 2.4653\n",
+      " and the parameters are [-3.18332128  4.2866504 ] -5.648266686266469 ;\n",
+      "Epoch 870/1000, Cost: 5.8114\n",
+      " and the parameters are [-3.18319544  4.2866293 ] -5.648343453350499 ;\n",
+      "Epoch 870/1000, Cost: 1.4389\n",
+      " and the parameters are [-3.1831768   4.28663838] -5.648360069002314 ;\n",
+      "Epoch 870/1000, Cost: 2.3081\n",
+      " and the parameters are [-3.18315979  4.28665163] -5.64839289660402 ;\n",
+      "Epoch 870/1000, Cost: 2.7438\n",
+      " and the parameters are [-3.18314531  4.28674105] -5.648349911435029 ;\n",
+      "Epoch 870/1000, Cost: 1.3822\n",
+      " and the parameters are [-3.18318606  4.28676329] -5.648334848548553 ;\n",
+      "Epoch 870/1000, Cost: 1.9422\n",
+      " and the parameters are [-3.1832373   4.28675319] -5.648335122974 ;\n",
+      "Epoch 870/1000, Cost: 1.4517\n",
+      " and the parameters are [-3.18322921  4.28679938] -5.648332832090476 ;\n",
+      "Epoch 870/1000, Cost: 1.8220\n",
+      " and the parameters are [-3.18322841  4.28686648] -5.648306271190157 ;\n",
+      "Epoch 870/1000, Cost: 4.1232\n",
+      " and the parameters are [-3.18317744  4.28685814] -5.648339905180131 ;\n",
+      "Epoch 870/1000, Cost: 4.3431\n",
+      " and the parameters are [-3.18318907  4.28688402] -5.64833404985988 ;\n",
+      "Epoch 870/1000, Cost: 3.1045\n",
+      " and the parameters are [-3.18321978  4.28690632] -5.648319236759964 ;\n",
+      "Epoch 870/1000, Cost: 3.3688\n",
+      " and the parameters are [-3.18323669  4.28701021] -5.648255467822688 ;\n",
+      "Epoch 870/1000, Cost: 3.8395\n",
+      " and the parameters are [-3.18335721  4.2870036 ] -5.648203876494306 ;\n",
+      "Epoch 870/1000, Cost: 3.6392\n",
+      " and the parameters are [-3.1833558   4.28706541] -5.648169631386239 ;\n",
+      "Epoch 870/1000, Cost: 1.9975\n",
+      " and the parameters are [-3.18333483  4.28717499] -5.648128873966195 ;\n",
+      "Epoch 870/1000, Cost: 2.7779\n",
+      " and the parameters are [-3.1833496   4.28711397] -5.648178095189674 ;\n",
+      "Epoch 870/1000, Cost: 2.3387\n",
+      " and the parameters are [-3.18336435  4.28717767] -5.648133293653108 ;\n",
+      "Epoch 870/1000, Cost: 4.6662\n",
+      " and the parameters are [-3.18345571  4.28711138] -5.648154231537912 ;\n",
+      "Epoch 870/1000, Cost: 14.0708\n",
+      " and the parameters are [-3.18340488  4.28714841] -5.6480694173741375 ;\n",
+      "Epoch 870/1000, Cost: 1.8684\n",
+      " and the parameters are [-3.18339081  4.28715969] -5.648094745803534 ;\n",
+      "Epoch 870/1000, Cost: 2.7962\n",
+      " and the parameters are [-3.18333335  4.28730015] -5.648033336451671 ;\n",
+      "Epoch 870/1000, Cost: 3.6418\n",
+      " and the parameters are [-3.18332951  4.28726319] -5.648085666649833 ;\n",
+      "Epoch 870/1000, Cost: 1.0301\n",
+      " and the parameters are [-3.18331216  4.28728556] -5.648095465723117 ;\n",
+      "Epoch 870/1000, Cost: 5.2822\n",
+      " and the parameters are [-3.18337667  4.28715391] -5.64817755542069 ;\n",
+      "Epoch 870/1000, Cost: 3.6366\n",
+      " and the parameters are [-3.18337092  4.28705954] -5.648270076508231 ;\n",
+      "Epoch 870/1000, Cost: 3.7683\n",
+      " and the parameters are [-3.18337388  4.28701506] -5.648331189264056 ;\n",
+      "Epoch 870/1000, Cost: 0.3805\n",
+      " and the parameters are [-3.18337424  4.28704399] -5.648321800473144 ;\n",
+      "Epoch 870/1000, Cost: 3.9013\n",
+      " and the parameters are [-3.18346588  4.28686796] -5.648394745429428 ;\n",
+      "Epoch 870/1000, Cost: 3.9314\n",
+      " and the parameters are [-3.18354769  4.28690292] -5.648348164956039 ;\n",
+      "Epoch 870/1000, Cost: 1.0331\n",
+      " and the parameters are [-3.18354214  4.28696841] -5.648325096121934 ;\n",
+      "Epoch 870/1000, Cost: 5.3216\n",
+      " and the parameters are [-3.18360421  4.28679538] -5.648430205794729 ;\n",
+      "Epoch 870/1000, Cost: 5.4337\n",
+      " and the parameters are [-3.18366396  4.28681456] -5.648398434263805 ;\n",
+      "Epoch 870/1000, Cost: 2.9304\n",
+      " and the parameters are [-3.18362597  4.28688093] -5.648394060100893 ;\n",
+      "Epoch 870/1000, Cost: 1.8590\n",
+      " and the parameters are [-3.18363954  4.2869228 ] -5.648369063182373 ;\n",
+      "Epoch 870/1000, Cost: 4.5719\n",
+      " and the parameters are [-3.18375767  4.28681867] -5.64838689458661 ;\n",
+      "Epoch 870/1000, Cost: 2.2392\n",
+      " and the parameters are [-3.18371319  4.2868993 ] -5.648369006281352 ;\n",
+      "Epoch 870/1000, Cost: 3.1895\n",
+      " and the parameters are [-3.18368612  4.28694837] -5.648371481148927 ;\n",
+      "Epoch 870/1000, Cost: 2.9963\n",
+      " and the parameters are [-3.18371244  4.28694273] -5.648377564982416 ;\n",
+      "Epoch 870/1000, Cost: 3.9649\n",
+      " and the parameters are [-3.18370783  4.28702337] -5.648345429546212 ;\n",
+      "Epoch 870/1000, Cost: 3.0845\n",
+      " and the parameters are [-3.18373707  4.28702459] -5.648333622443869 ;\n",
+      "Epoch 870/1000, Cost: 3.3174\n",
+      " and the parameters are [-3.18371316  4.28706649] -5.648332408584741 ;\n",
+      "Epoch 870/1000, Cost: 4.2728\n",
+      " and the parameters are [-3.18377456  4.28701245] -5.648348622288945 ;\n",
+      "Epoch 870/1000, Cost: 4.9439\n",
+      " and the parameters are [-3.18378923  4.2869205 ] -5.648408496233498 ;\n",
+      "Epoch 870/1000, Cost: 1.5492\n",
+      " and the parameters are [-3.18380876  4.28690544] -5.648437036898335 ;\n",
+      "Epoch 870/1000, Cost: 1.9965\n",
+      " and the parameters are [-3.18378609  4.28690545] -5.648461927790538 ;\n",
+      "Epoch 870/1000, Cost: 3.9987\n",
+      " and the parameters are [-3.18377203  4.28698494] -5.648418111581772 ;\n",
+      "Epoch 870/1000, Cost: 1.0886\n",
+      " and the parameters are [-3.18374006  4.28707582] -5.648388017146225 ;\n",
+      "Epoch 870/1000, Cost: 2.6778\n",
+      " and the parameters are [-3.18375977  4.28704337] -5.648419912636585 ;\n",
+      "Epoch 870/1000, Cost: 4.6217\n",
+      " and the parameters are [-3.18379091  4.2869506 ] -5.648495144242979 ;\n",
+      "Epoch 870/1000, Cost: 6.0631\n",
+      " and the parameters are [-3.18376405  4.28697784] -5.648487027400951 ;\n",
+      "Epoch 870/1000, Cost: 4.1925\n",
+      " and the parameters are [-3.18375241  4.28705325] -5.648452369038473 ;\n",
+      "Epoch 870/1000, Cost: 3.0210\n",
+      " and the parameters are [-3.18381344  4.28703386] -5.648448711041857 ;\n",
+      "Epoch 870/1000, Cost: 1.3793\n",
+      " and the parameters are [-3.18381626  4.28703245] -5.648474543304107 ;\n",
+      "Epoch 870/1000, Cost: 2.3038\n",
+      " and the parameters are [-3.18378903  4.2870862 ] -5.648472369267038 ;\n",
+      "Epoch 870/1000, Cost: 0.9605\n",
+      " and the parameters are [-3.1837944   4.28711144] -5.648471154659517 ;\n",
+      "Epoch 870/1000, Cost: 3.7295\n",
+      " and the parameters are [-3.18377835  4.28721845] -5.648400750903733 ;\n",
+      "Epoch 870/1000, Cost: 2.7828\n",
+      " and the parameters are [-3.18380279  4.28723544] -5.648383768324003 ;\n",
+      "Epoch 870/1000, Cost: 0.9648\n",
+      " and the parameters are [-3.18380435  4.28728416] -5.648367635119295 ;\n",
+      "Epoch 870/1000, Cost: 4.5866\n",
+      " and the parameters are [-3.18379606  4.28741299] -5.64829051917789 ;\n",
+      "Epoch 870/1000, Cost: 4.3262\n",
+      " and the parameters are [-3.18376875  4.28728842] -5.648386775191036 ;\n",
+      "Epoch 870/1000, Cost: 0.6937\n",
+      " and the parameters are [-3.18376892  4.28730208] -5.648394409068537 ;\n",
+      "Epoch 870/1000, Cost: 1.6464\n",
+      " and the parameters are [-3.18375844  4.28736405] -5.64837917257161 ;\n",
+      "Epoch 870/1000, Cost: 4.6980\n",
+      " and the parameters are [-3.18376325  4.28736131] -5.648394873012686 ;\n",
+      "Epoch 870/1000, Cost: 3.7224\n",
+      " and the parameters are [-3.18381133  4.28740614] -5.648359432399557 ;\n",
+      "Epoch 870/1000, Cost: 3.3183\n",
+      " and the parameters are [-3.1837316   4.28735121] -5.6484671708933085 ;\n",
+      "Epoch 870/1000, Cost: 1.5438\n",
+      " and the parameters are [-3.1837614  4.2873558] -5.648472861081709 ;\n",
+      "Epoch 870/1000, Cost: 2.0189\n",
+      " and the parameters are [-3.18376756  4.28740328] -5.648457734733515 ;\n",
+      "Epoch 870/1000, Cost: 2.2949\n",
+      " and the parameters are [-3.18379707  4.2874493 ] -5.648435322873823 ;\n",
+      "Epoch 870/1000, Cost: 2.5148\n",
+      " and the parameters are [-3.18382179  4.28747006] -5.648434262442889 ;\n",
+      "Epoch 870/1000, Cost: 6.0023\n",
+      " and the parameters are [-3.18382525  4.28743929] -5.648419296047031 ;\n",
+      "Epoch 870/1000, Cost: 3.5864\n",
+      " and the parameters are [-3.18377958  4.28739669] -5.648479849181053 ;\n",
+      "Epoch 870/1000, Cost: 1.1236\n",
+      " and the parameters are [-3.18378422  4.28745998] -5.648449232165518 ;\n",
+      "Epoch 870/1000, Cost: 2.0472\n",
+      " and the parameters are [-3.18382288  4.28740356] -5.648491380387414 ;\n",
+      "Epoch 870/1000, Cost: 4.0293\n",
+      " and the parameters are [-3.18387274  4.28742668] -5.648473139578067 ;\n",
+      "Epoch 870/1000, Cost: 2.7996\n",
+      " and the parameters are [-3.18390087  4.28735759] -5.648527887968253 ;\n",
+      "Epoch 880/1000, Cost: 2.2177\n",
+      " and the parameters are [-3.19212329  4.29779711] -5.6632586361742 ;\n",
+      "Epoch 880/1000, Cost: 3.1859\n",
+      " and the parameters are [-3.19212904  4.29783043] -5.663249033479889 ;\n",
+      "Epoch 880/1000, Cost: 0.3875\n",
+      " and the parameters are [-3.19212113  4.29784794] -5.6632530205720535 ;\n",
+      "Epoch 880/1000, Cost: 2.3709\n",
+      " and the parameters are [-3.19214364  4.29780787] -5.663297787363815 ;\n",
+      "Epoch 880/1000, Cost: 4.7490\n",
+      " and the parameters are [-3.19215511  4.2977895 ] -5.663296801149792 ;\n",
+      "Epoch 880/1000, Cost: 3.5722\n",
+      " and the parameters are [-3.19211238  4.29780399] -5.663328542519456 ;\n",
+      "Epoch 880/1000, Cost: 3.7299\n",
+      " and the parameters are [-3.19216155  4.29774125] -5.663372629210496 ;\n",
+      "Epoch 880/1000, Cost: 1.5669\n",
+      " and the parameters are [-3.19216444  4.29772324] -5.663412575794627 ;\n",
+      "Epoch 880/1000, Cost: 4.8620\n",
+      " and the parameters are [-3.19224765  4.29768095] -5.663404827693486 ;\n",
+      "Epoch 880/1000, Cost: 3.0526\n",
+      " and the parameters are [-3.19228028  4.29770763] -5.66338782414384 ;\n",
+      "Epoch 880/1000, Cost: 5.5306\n",
+      " and the parameters are [-3.19224907  4.29771115] -5.6634018838067375 ;\n",
+      "Epoch 880/1000, Cost: 2.8303\n",
+      " and the parameters are [-3.19226498  4.29770289] -5.663423486917651 ;\n",
+      "Epoch 880/1000, Cost: 5.5187\n",
+      " and the parameters are [-3.19222882  4.29774977] -5.663418269608831 ;\n",
+      "Epoch 880/1000, Cost: 1.3216\n",
+      " and the parameters are [-3.19228417  4.29771772] -5.663428414318412 ;\n",
+      "Epoch 880/1000, Cost: 2.2265\n",
+      " and the parameters are [-3.19232948  4.29770499] -5.663431032053024 ;\n",
+      "Epoch 880/1000, Cost: 0.8871\n",
+      " and the parameters are [-3.19229899  4.29775987] -5.663424249054259 ;\n",
+      "Epoch 880/1000, Cost: 3.6051\n",
+      " and the parameters are [-3.1922747   4.29786096] -5.663359831525043 ;\n",
+      "Epoch 880/1000, Cost: 1.0542\n",
+      " and the parameters are [-3.19227544  4.29791308] -5.663342195407656 ;\n",
+      "Epoch 880/1000, Cost: 7.8643\n",
+      " and the parameters are [-3.19225399  4.2978936 ] -5.663336339672879 ;\n",
+      "Epoch 880/1000, Cost: 3.3989\n",
+      " and the parameters are [-3.19222726  4.29790942] -5.663356424543643 ;\n",
+      "Epoch 880/1000, Cost: 1.3181\n",
+      " and the parameters are [-3.19221693  4.2979629 ] -5.6633468330129695 ;\n",
+      "Epoch 880/1000, Cost: 5.0956\n",
+      " and the parameters are [-3.19220217  4.29797414] -5.663359957963893 ;\n",
+      "Epoch 880/1000, Cost: 2.0105\n",
+      " and the parameters are [-3.19219065  4.29805123] -5.663318365014647 ;\n",
+      "Epoch 880/1000, Cost: 3.9218\n",
+      " and the parameters are [-3.19229537  4.2979502 ] -5.66332948512405 ;\n",
+      "Epoch 880/1000, Cost: 2.8352\n",
+      " and the parameters are [-3.19232324  4.29803694] -5.66326666993634 ;\n",
+      "Epoch 880/1000, Cost: 2.4298\n",
+      " and the parameters are [-3.19234656  4.29799051] -5.663300593719485 ;\n",
+      "Epoch 880/1000, Cost: 1.9597\n",
+      " and the parameters are [-3.19237517  4.29792167] -5.6633473385846465 ;\n",
+      "Epoch 880/1000, Cost: 1.7633\n",
+      " and the parameters are [-3.19240838  4.2979184 ] -5.663355686080713 ;\n",
+      "Epoch 880/1000, Cost: 1.3896\n",
+      " and the parameters are [-3.19237711  4.29796237] -5.663362114842923 ;\n",
+      "Epoch 880/1000, Cost: 2.5989\n",
+      " and the parameters are [-3.1924048   4.29802035] -5.663330789957014 ;\n",
+      "Epoch 880/1000, Cost: 2.5214\n",
+      " and the parameters are [-3.19244889  4.2980762 ] -5.663293607736777 ;\n",
+      "Epoch 880/1000, Cost: 3.0032\n",
+      " and the parameters are [-3.19244571  4.29802865] -5.663344695604949 ;\n",
+      "Epoch 880/1000, Cost: 2.2929\n",
+      " and the parameters are [-3.19244142  4.29803888] -5.663358779904231 ;\n",
+      "Epoch 880/1000, Cost: 5.8507\n",
+      " and the parameters are [-3.19242135  4.29811759] -5.66332056302598 ;\n",
+      "Epoch 880/1000, Cost: 2.1918\n",
+      " and the parameters are [-3.19231885  4.29828158] -5.66327472477244 ;\n",
+      "Epoch 880/1000, Cost: 3.4584\n",
+      " and the parameters are [-3.19240606  4.29829888] -5.663228852084211 ;\n",
+      "Epoch 880/1000, Cost: 8.5555\n",
+      " and the parameters are [-3.19239846  4.29813544] -5.663322640243383 ;\n",
+      "Epoch 880/1000, Cost: 3.2019\n",
+      " and the parameters are [-3.19236794  4.29811625] -5.663369905285719 ;\n",
+      "Epoch 880/1000, Cost: 4.5045\n",
+      " and the parameters are [-3.19241409  4.29801696] -5.663428700482071 ;\n",
+      "Epoch 880/1000, Cost: 2.8331\n",
+      " and the parameters are [-3.19240148  4.29796854] -5.66349309789852 ;\n",
+      "Epoch 880/1000, Cost: 0.8682\n",
+      " and the parameters are [-3.1923971   4.29799327] -5.663496126614316 ;\n",
+      "Epoch 880/1000, Cost: 1.7008\n",
+      " and the parameters are [-3.19238999  4.29802614] -5.663503646310863 ;\n",
+      "Epoch 880/1000, Cost: 3.8104\n",
+      " and the parameters are [-3.19234338  4.29823097] -5.663398448393505 ;\n",
+      "Epoch 880/1000, Cost: 2.2085\n",
+      " and the parameters are [-3.19234448  4.29831236] -5.6633604914917886 ;\n",
+      "Epoch 880/1000, Cost: 1.5009\n",
+      " and the parameters are [-3.19231091  4.29839158] -5.66334021222302 ;\n",
+      "Epoch 880/1000, Cost: 5.6903\n",
+      " and the parameters are [-3.19229674  4.29843156] -5.663301497176963 ;\n",
+      "Epoch 880/1000, Cost: 4.1507\n",
+      " and the parameters are [-3.1923858   4.29837684] -5.66329822429218 ;\n",
+      "Epoch 880/1000, Cost: 1.5796\n",
+      " and the parameters are [-3.19238238  4.29843011] -5.663285722790193 ;\n",
+      "Epoch 880/1000, Cost: 0.9558\n",
+      " and the parameters are [-3.19241029  4.29841776] -5.663298342262085 ;\n",
+      "Epoch 880/1000, Cost: 5.3443\n",
+      " and the parameters are [-3.19242534  4.29834284] -5.663332539331337 ;\n",
+      "Epoch 880/1000, Cost: 1.0211\n",
+      " and the parameters are [-3.19244138  4.298363  ] -5.6633274454564395 ;\n",
+      "Epoch 880/1000, Cost: 1.8530\n",
+      " and the parameters are [-3.19244758  4.29835442] -5.663360617769064 ;\n",
+      "Epoch 880/1000, Cost: 2.8044\n",
+      " and the parameters are [-3.19242641  4.29841366] -5.663352734312915 ;\n",
+      "Epoch 880/1000, Cost: 4.1306\n",
+      " and the parameters are [-3.19250775  4.29844029] -5.663302829699395 ;\n",
+      "Epoch 880/1000, Cost: 0.7900\n",
+      " and the parameters are [-3.19251918  4.29848332] -5.663281444106574 ;\n",
+      "Epoch 880/1000, Cost: 0.5798\n",
+      " and the parameters are [-3.19251842  4.29849506] -5.6632901910478886 ;\n",
+      "Epoch 880/1000, Cost: 3.0715\n",
+      " and the parameters are [-3.19246474  4.29842454] -5.663397349426772 ;\n",
+      "Epoch 880/1000, Cost: 5.4839\n",
+      " and the parameters are [-3.1925431   4.29838395] -5.663400788980967 ;\n",
+      "Epoch 880/1000, Cost: 2.2336\n",
+      " and the parameters are [-3.19256266  4.29837147] -5.663426498653787 ;\n",
+      "Epoch 880/1000, Cost: 0.9901\n",
+      " and the parameters are [-3.19255307  4.29836365] -5.663456576652304 ;\n",
+      "Epoch 880/1000, Cost: 5.0178\n",
+      " and the parameters are [-3.19257032  4.29824432] -5.663541855054821 ;\n",
+      "Epoch 880/1000, Cost: 2.7829\n",
+      " and the parameters are [-3.19254418  4.29831342] -5.663505510404152 ;\n",
+      "Epoch 880/1000, Cost: 6.2158\n",
+      " and the parameters are [-3.19264903  4.29826293] -5.66347796596264 ;\n",
+      "Epoch 880/1000, Cost: 0.7041\n",
+      " and the parameters are [-3.19266023  4.29824516] -5.663501316772376 ;\n",
+      "Epoch 880/1000, Cost: 1.2931\n",
+      " and the parameters are [-3.19265388  4.29829657] -5.663487623153552 ;\n",
+      "Epoch 880/1000, Cost: 3.5763\n",
+      " and the parameters are [-3.19274749  4.29821229] -5.663499184361813 ;\n",
+      "Epoch 880/1000, Cost: 2.7596\n",
+      " and the parameters are [-3.19276136  4.29825185] -5.66346690442801 ;\n",
+      "Epoch 880/1000, Cost: 4.5852\n",
+      " and the parameters are [-3.19279008  4.29817577] -5.663506733497335 ;\n",
+      "Epoch 880/1000, Cost: 1.2336\n",
+      " and the parameters are [-3.19280423  4.29816048] -5.663532030999535 ;\n",
+      "Epoch 880/1000, Cost: 6.0891\n",
+      " and the parameters are [-3.19272666  4.29825143] -5.6634927796987595 ;\n",
+      "Epoch 880/1000, Cost: 5.0081\n",
+      " and the parameters are [-3.19269838  4.29829814] -5.6634723765239885 ;\n",
+      "Epoch 880/1000, Cost: 2.3317\n",
+      " and the parameters are [-3.19267028  4.29830023] -5.663491766139184 ;\n",
+      "Epoch 880/1000, Cost: 2.9181\n",
+      " and the parameters are [-3.19270813  4.29828226] -5.66350697781493 ;\n",
+      "Epoch 880/1000, Cost: 2.5460\n",
+      " and the parameters are [-3.19278155  4.29817242] -5.663560451747825 ;\n",
+      "Epoch 880/1000, Cost: 5.1470\n",
+      " and the parameters are [-3.19283571  4.29792302] -5.663720314011172 ;\n",
+      "Epoch 880/1000, Cost: 1.3168\n",
+      " and the parameters are [-3.19283673  4.29797901] -5.663702823152637 ;\n",
+      "Epoch 880/1000, Cost: 1.7350\n",
+      " and the parameters are [-3.19288368  4.29800326] -5.663687060757021 ;\n",
+      "Epoch 880/1000, Cost: 5.3668\n",
+      " and the parameters are [-3.19279888  4.29803617] -5.663703606248878 ;\n",
+      "Epoch 880/1000, Cost: 1.4859\n",
+      " and the parameters are [-3.1927412   4.29808739] -5.663720221126866 ;\n",
+      "Epoch 880/1000, Cost: 6.0660\n",
+      " and the parameters are [-3.19287131  4.29799695] -5.663701889121472 ;\n",
+      "Epoch 880/1000, Cost: 3.3629\n",
+      " and the parameters are [-3.19282625  4.2979393 ] -5.663789883282265 ;\n",
+      "Epoch 880/1000, Cost: 1.5551\n",
+      " and the parameters are [-3.19280359  4.29799687] -5.663780455932052 ;\n",
+      "Epoch 880/1000, Cost: 2.6952\n",
+      " and the parameters are [-3.1927678   4.29812044] -5.663732136307619 ;\n",
+      "Epoch 880/1000, Cost: 1.2083\n",
+      " and the parameters are [-3.19277145  4.29817186] -5.663717842784637 ;\n",
+      "Epoch 880/1000, Cost: 2.1766\n",
+      " and the parameters are [-3.19276178  4.29815476] -5.663754944002826 ;\n",
+      "Epoch 880/1000, Cost: 6.3202\n",
+      " and the parameters are [-3.19274446  4.29803396] -5.663844597370687 ;\n",
+      "Epoch 880/1000, Cost: 1.8223\n",
+      " and the parameters are [-3.19273498  4.29804624] -5.66386020035096 ;\n",
+      "Epoch 880/1000, Cost: 3.4009\n",
+      " and the parameters are [-3.19276087  4.29815539] -5.663776593345783 ;\n",
+      "Epoch 880/1000, Cost: 6.7336\n",
+      " and the parameters are [-3.19292517  4.29806217] -5.6637675750682925 ;\n",
+      "Epoch 880/1000, Cost: 2.8047\n",
+      " and the parameters are [-3.19286219  4.29803319] -5.663841263674575 ;\n",
+      "Epoch 880/1000, Cost: 1.3243\n",
+      " and the parameters are [-3.19289262  4.29801359] -5.663857354890513 ;\n",
+      "Epoch 880/1000, Cost: 4.1124\n",
+      " and the parameters are [-3.19286087  4.29802988] -5.663871343992336 ;\n",
+      "Epoch 880/1000, Cost: 2.5496\n",
+      " and the parameters are [-3.19283091  4.29810644] -5.663860030446792 ;\n",
+      "Epoch 880/1000, Cost: 1.4912\n",
+      " and the parameters are [-3.19279581  4.29814653] -5.663873734975604 ;\n",
+      "Epoch 880/1000, Cost: 2.1934\n",
+      " and the parameters are [-3.19278884  4.29811881] -5.663922373043959 ;\n",
+      "Epoch 880/1000, Cost: 4.1387\n",
+      " and the parameters are [-3.19276189  4.29815506] -5.663933540155782 ;\n",
+      "Epoch 880/1000, Cost: 7.0483\n",
+      " and the parameters are [-3.19273645  4.29801533] -5.6640512731957715 ;\n",
+      "Epoch 880/1000, Cost: 1.8079\n",
+      " and the parameters are [-3.19273229  4.29801031] -5.66407904975178 ;\n",
+      "Epoch 880/1000, Cost: 1.1718\n",
+      " and the parameters are [-3.19271426  4.29807507] -5.664061601159818 ;\n",
+      "Epoch 880/1000, Cost: 2.8327\n",
+      " and the parameters are [-3.19276788  4.29801656] -5.6641018838723 ;\n",
+      "Epoch 880/1000, Cost: 0.7279\n",
+      " and the parameters are [-3.19276894  4.29804064] -5.664096985099597 ;\n",
+      "Epoch 880/1000, Cost: 1.9056\n",
+      " and the parameters are [-3.19275597  4.29809206] -5.664087789737467 ;\n",
+      "Epoch 880/1000, Cost: 1.7108\n",
+      " and the parameters are [-3.19277174  4.29816268] -5.6640449607346115 ;\n",
+      "Epoch 880/1000, Cost: 1.0676\n",
+      " and the parameters are [-3.1927991   4.29817352] -5.664042331840678 ;\n",
+      "Epoch 880/1000, Cost: 1.0586\n",
+      " and the parameters are [-3.19280242  4.29820163] -5.664041032631031 ;\n",
+      "Epoch 880/1000, Cost: 0.5794\n",
+      " and the parameters are [-3.19281045  4.29820358] -5.664049093693755 ;\n",
+      "Epoch 880/1000, Cost: 1.9298\n",
+      " and the parameters are [-3.1928478   4.29826236] -5.663998471927009 ;\n",
+      "Epoch 880/1000, Cost: 4.6560\n",
+      " and the parameters are [-3.19281401  4.29832826] -5.663955888184296 ;\n",
+      "Epoch 880/1000, Cost: 0.7932\n",
+      " and the parameters are [-3.19281032  4.29835466] -5.663958312525016 ;\n",
+      "Epoch 880/1000, Cost: 1.4857\n",
+      " and the parameters are [-3.19283486  4.29838388] -5.663951355065629 ;\n",
+      "Epoch 880/1000, Cost: 1.2945\n",
+      " and the parameters are [-3.19283131  4.29840092] -5.663961323354933 ;\n",
+      "Epoch 880/1000, Cost: 1.4454\n",
+      " and the parameters are [-3.1928221  4.2984433] -5.6639477264212745 ;\n",
+      "Epoch 880/1000, Cost: 4.1117\n",
+      " and the parameters are [-3.19278799  4.29854833] -5.6639040519256465 ;\n",
+      "Epoch 880/1000, Cost: 2.4945\n",
+      " and the parameters are [-3.19277759  4.29860228] -5.66389913835805 ;\n",
+      "Epoch 880/1000, Cost: 2.9301\n",
+      " and the parameters are [-3.19276684  4.29863768] -5.663895685038766 ;\n",
+      "Epoch 880/1000, Cost: 1.2759\n",
+      " and the parameters are [-3.19274305  4.29863433] -5.663930340998456 ;\n",
+      "Epoch 880/1000, Cost: 2.7870\n",
+      " and the parameters are [-3.1927132  4.2986576] -5.663936696118123 ;\n",
+      "Epoch 880/1000, Cost: 3.5534\n",
+      " and the parameters are [-3.1927411   4.29865536] -5.663951162562091 ;\n",
+      "Epoch 880/1000, Cost: 4.4343\n",
+      " and the parameters are [-3.19259976  4.29867668] -5.6640026284026135 ;\n",
+      "Epoch 880/1000, Cost: 2.3861\n",
+      " and the parameters are [-3.1925479  4.2986764] -5.664044619597452 ;\n",
+      "Epoch 880/1000, Cost: 1.4033\n",
+      " and the parameters are [-3.19255009  4.29865433] -5.664087734492246 ;\n",
+      "Epoch 880/1000, Cost: 1.2830\n",
+      " and the parameters are [-3.19256948  4.29863942] -5.664107454863885 ;\n",
+      "Epoch 880/1000, Cost: 2.0292\n",
+      " and the parameters are [-3.19252768  4.29867185] -5.664131704966655 ;\n",
+      "Epoch 880/1000, Cost: 5.9803\n",
+      " and the parameters are [-3.19257657  4.29857412] -5.66417170292544 ;\n",
+      "Epoch 880/1000, Cost: 2.9446\n",
+      " and the parameters are [-3.19256127  4.29859818] -5.664182613512557 ;\n",
+      "Epoch 880/1000, Cost: 3.1876\n",
+      " and the parameters are [-3.19262274  4.29852561] -5.664233012072419 ;\n",
+      "Epoch 880/1000, Cost: 4.2016\n",
+      " and the parameters are [-3.1926317  4.2985792] -5.664213693396657 ;\n",
+      "Epoch 880/1000, Cost: 1.0369\n",
+      " and the parameters are [-3.19259841  4.29863674] -5.664210096289043 ;\n",
+      "Epoch 880/1000, Cost: 1.5963\n",
+      " and the parameters are [-3.19257311  4.29869231] -5.6642122840258375 ;\n",
+      "Epoch 880/1000, Cost: 2.2565\n",
+      " and the parameters are [-3.1925339   4.29875519] -5.664210192805218 ;\n",
+      "Epoch 880/1000, Cost: 3.3562\n",
+      " and the parameters are [-3.19260879  4.29873329] -5.664208260386441 ;\n",
+      "Epoch 880/1000, Cost: 2.6507\n",
+      " and the parameters are [-3.19258274  4.29873409] -5.664241849259045 ;\n",
+      "Epoch 880/1000, Cost: 2.9442\n",
+      " and the parameters are [-3.19257003  4.29871455] -5.664292913692206 ;\n",
+      "Epoch 880/1000, Cost: 4.9473\n",
+      " and the parameters are [-3.19257282  4.29880206] -5.664238261657874 ;\n",
+      "Epoch 880/1000, Cost: 4.4873\n",
+      " and the parameters are [-3.19254143  4.29888255] -5.664218632534946 ;\n",
+      "Epoch 880/1000, Cost: 2.7690\n",
+      " and the parameters are [-3.19254003  4.29879813] -5.664294842724365 ;\n",
+      "Epoch 880/1000, Cost: 4.6727\n",
+      " and the parameters are [-3.1925611   4.29884364] -5.664241869159817 ;\n",
+      "Epoch 880/1000, Cost: 4.1464\n",
+      " and the parameters are [-3.19254287  4.29880872] -5.664290259914606 ;\n",
+      "Epoch 880/1000, Cost: 5.1693\n",
+      " and the parameters are [-3.19255096  4.29882592] -5.66428070284507 ;\n",
+      "Epoch 880/1000, Cost: 2.1782\n",
+      " and the parameters are [-3.19251519  4.29888353] -5.664288031746546 ;\n",
+      "Epoch 880/1000, Cost: 2.7117\n",
+      " and the parameters are [-3.19251013  4.29889721] -5.66431229673795 ;\n",
+      "Epoch 880/1000, Cost: 1.5685\n",
+      " and the parameters are [-3.19256396  4.29888758] -5.664306852835751 ;\n",
+      "Epoch 880/1000, Cost: 4.6965\n",
+      " and the parameters are [-3.19255823  4.29895021] -5.664254450643951 ;\n",
+      "Epoch 880/1000, Cost: 7.9243\n",
+      " and the parameters are [-3.19256377  4.29891266] -5.664259275656048 ;\n",
+      "Epoch 880/1000, Cost: 1.2881\n",
+      " and the parameters are [-3.19260133  4.29893556] -5.664245181997355 ;\n",
+      "Epoch 880/1000, Cost: 1.9972\n",
+      " and the parameters are [-3.192634    4.29892924] -5.664254396109903 ;\n",
+      "Epoch 880/1000, Cost: 0.9089\n",
+      " and the parameters are [-3.19264788  4.29891699] -5.664275313168703 ;\n",
+      "Epoch 880/1000, Cost: 13.4783\n",
+      " and the parameters are [-3.19286107  4.29867649] -5.664269514509639 ;\n",
+      "Epoch 880/1000, Cost: 3.0298\n",
+      " and the parameters are [-3.19290055  4.29869824] -5.664235980732473 ;\n",
+      "Epoch 880/1000, Cost: 1.2800\n",
+      " and the parameters are [-3.19291994  4.29874872] -5.664204883799591 ;\n",
+      "Epoch 880/1000, Cost: 2.4838\n",
+      " and the parameters are [-3.19294831  4.29875623] -5.664195708059984 ;\n",
+      "Epoch 880/1000, Cost: 2.2826\n",
+      " and the parameters are [-3.19298536  4.29871814] -5.664226315668178 ;\n",
+      "Epoch 880/1000, Cost: 6.0217\n",
+      " and the parameters are [-3.19304365  4.2985409 ] -5.664319151312406 ;\n",
+      "Epoch 880/1000, Cost: 4.1034\n",
+      " and the parameters are [-3.19301137  4.29863301] -5.664284437013924 ;\n",
+      "Epoch 880/1000, Cost: 2.0466\n",
+      " and the parameters are [-3.19299329  4.29862169] -5.664326307822028 ;\n",
+      "Epoch 880/1000, Cost: 0.9744\n",
+      " and the parameters are [-3.19299375  4.29862521] -5.664345282757259 ;\n",
+      "Epoch 880/1000, Cost: 6.0955\n",
+      " and the parameters are [-3.1930519   4.29846254] -5.664439373090782 ;\n",
+      "Epoch 880/1000, Cost: 2.2322\n",
+      " and the parameters are [-3.19307773  4.29842215] -5.664491806044504 ;\n",
+      "Epoch 880/1000, Cost: 3.7622\n",
+      " and the parameters are [-3.19303431  4.29846917] -5.664485378998097 ;\n",
+      "Epoch 880/1000, Cost: 1.9257\n",
+      " and the parameters are [-3.19306607  4.29842507] -5.6645166301370145 ;\n",
+      "Epoch 880/1000, Cost: 3.3566\n",
+      " and the parameters are [-3.19315233  4.29840324] -5.664498450836915 ;\n",
+      "Epoch 880/1000, Cost: 1.3240\n",
+      " and the parameters are [-3.19317727  4.29843805] -5.664483632921256 ;\n",
+      "Epoch 880/1000, Cost: 5.0743\n",
+      " and the parameters are [-3.19313645  4.29838999] -5.664551262506143 ;\n",
+      "Epoch 880/1000, Cost: 1.1142\n",
+      " and the parameters are [-3.19313899  4.29841677] -5.664550209351453 ;\n",
+      "Epoch 880/1000, Cost: 4.1233\n",
+      " and the parameters are [-3.19314092  4.29852586] -5.664472996205655 ;\n",
+      "Epoch 880/1000, Cost: 2.1157\n",
+      " and the parameters are [-3.1931098   4.29860004] -5.6644623868592205 ;\n",
+      "Epoch 880/1000, Cost: 4.8845\n",
+      " and the parameters are [-3.19315072  4.29840643] -5.664604743450909 ;\n",
+      "Epoch 880/1000, Cost: 1.9643\n",
+      " and the parameters are [-3.1931622   4.29845906] -5.664583291704164 ;\n",
+      "Epoch 880/1000, Cost: 4.0026\n",
+      " and the parameters are [-3.19313927  4.29845863] -5.664616391234603 ;\n",
+      "Epoch 880/1000, Cost: 4.4961\n",
+      " and the parameters are [-3.19313968  4.29845453] -5.66462437347284 ;\n",
+      "Epoch 880/1000, Cost: 3.7797\n",
+      " and the parameters are [-3.19318032  4.2984851 ] -5.664574119544642 ;\n",
+      "Epoch 880/1000, Cost: 2.1524\n",
+      " and the parameters are [-3.19318107  4.29850477] -5.664577492958291 ;\n",
+      "Epoch 880/1000, Cost: 2.5633\n",
+      " and the parameters are [-3.19316527  4.29851909] -5.664595400504654 ;\n",
+      "Epoch 880/1000, Cost: 1.4587\n",
+      " and the parameters are [-3.19316706  4.29852775] -5.664607633590223 ;\n",
+      "Epoch 880/1000, Cost: 1.8433\n",
+      " and the parameters are [-3.19318486  4.2984805 ] -5.664659267213252 ;\n",
+      "Epoch 880/1000, Cost: 1.7692\n",
+      " and the parameters are [-3.19314729  4.29849835] -5.664683590423994 ;\n",
+      "Epoch 880/1000, Cost: 1.6326\n",
+      " and the parameters are [-3.19317328  4.29857539] -5.664625682850629 ;\n",
+      "Epoch 880/1000, Cost: 2.6791\n",
+      " and the parameters are [-3.1931107   4.29864532] -5.664626898984415 ;\n",
+      "Epoch 880/1000, Cost: 2.0412\n",
+      " and the parameters are [-3.19313562  4.29862187] -5.664653122032752 ;\n",
+      "Epoch 880/1000, Cost: 2.2409\n",
+      " and the parameters are [-3.19318063  4.29863339] -5.66463730966693 ;\n",
+      "Epoch 880/1000, Cost: 3.7600\n",
+      " and the parameters are [-3.19322849  4.29870837] -5.664575715869615 ;\n",
+      "Epoch 880/1000, Cost: 3.8370\n",
+      " and the parameters are [-3.19320301  4.29867444] -5.6646418292656815 ;\n",
+      "Epoch 880/1000, Cost: 5.2478\n",
+      " and the parameters are [-3.19333483  4.29845648] -5.664746571577378 ;\n",
+      "Epoch 880/1000, Cost: 3.0762\n",
+      " and the parameters are [-3.19330187  4.29849774] -5.664743934072022 ;\n",
+      "Epoch 880/1000, Cost: 2.4709\n",
+      " and the parameters are [-3.19330421  4.29855317] -5.664731144032977 ;\n",
+      "Epoch 880/1000, Cost: 4.8890\n",
+      " and the parameters are [-3.19332303  4.29853572] -5.664752870086273 ;\n",
+      "Epoch 880/1000, Cost: 1.8125\n",
+      " and the parameters are [-3.19331441  4.29850209] -5.664804689937104 ;\n",
+      "Epoch 880/1000, Cost: 4.0450\n",
+      " and the parameters are [-3.1932982   4.29842319] -5.664891509696225 ;\n",
+      "Epoch 880/1000, Cost: 5.1162\n",
+      " and the parameters are [-3.19333462  4.29844394] -5.664860979957371 ;\n",
+      "Epoch 880/1000, Cost: 1.5790\n",
+      " and the parameters are [-3.19333595  4.29848338] -5.664856031430936 ;\n",
+      "Epoch 880/1000, Cost: 4.1989\n",
+      " and the parameters are [-3.19334019  4.29856112] -5.664797406766315 ;\n",
+      "Epoch 880/1000, Cost: 1.3260\n",
+      " and the parameters are [-3.19330507  4.29862059] -5.664797208480575 ;\n",
+      "Epoch 880/1000, Cost: 1.7511\n",
+      " and the parameters are [-3.19328927  4.29869488] -5.664781777409328 ;\n",
+      "Epoch 880/1000, Cost: 1.8832\n",
+      " and the parameters are [-3.19326439  4.29875319] -5.664770625330951 ;\n",
+      "Epoch 880/1000, Cost: 4.8251\n",
+      " and the parameters are [-3.19314718  4.2988176 ] -5.6647990468341956 ;\n",
+      "Epoch 880/1000, Cost: 1.7054\n",
+      " and the parameters are [-3.19313864  4.29882096] -5.664823278170946 ;\n",
+      "Epoch 880/1000, Cost: 4.6106\n",
+      " and the parameters are [-3.19305398  4.29887984] -5.664838016953122 ;\n",
+      "Epoch 880/1000, Cost: 2.2045\n",
+      " and the parameters are [-3.19307456  4.29895563] -5.664792269578946 ;\n",
+      "Epoch 880/1000, Cost: 5.3479\n",
+      " and the parameters are [-3.19305089  4.29891334] -5.664854341463326 ;\n",
+      "Epoch 880/1000, Cost: 0.7372\n",
+      " and the parameters are [-3.19307185  4.298912  ] -5.664862119813328 ;\n",
+      "Epoch 890/1000, Cost: 5.0171\n",
+      " and the parameters are [-3.20128492  4.30922521] -5.67937891349068 ;\n",
+      "Epoch 890/1000, Cost: 3.3211\n",
+      " and the parameters are [-3.20131349  4.30913394] -5.679445073614845 ;\n",
+      "Epoch 890/1000, Cost: 3.7480\n",
+      " and the parameters are [-3.20130218  4.30914742] -5.679459599702729 ;\n",
+      "Epoch 890/1000, Cost: 1.9757\n",
+      " and the parameters are [-3.20127143  4.30909704] -5.679530974669303 ;\n",
+      "Epoch 890/1000, Cost: 1.8569\n",
+      " and the parameters are [-3.20129453  4.30912632] -5.679521177041559 ;\n",
+      "Epoch 890/1000, Cost: 4.0173\n",
+      " and the parameters are [-3.20140208  4.30892262] -5.679605560698341 ;\n",
+      "Epoch 890/1000, Cost: 2.3448\n",
+      " and the parameters are [-3.20135291  4.30896943] -5.679611684976136 ;\n",
+      "Epoch 890/1000, Cost: 2.7371\n",
+      " and the parameters are [-3.20141638  4.30902922] -5.679552645493089 ;\n",
+      "Epoch 890/1000, Cost: 2.7349\n",
+      " and the parameters are [-3.2014646   4.30892879] -5.679605508365932 ;\n",
+      "Epoch 890/1000, Cost: 3.8222\n",
+      " and the parameters are [-3.20151945  4.30884252] -5.679654286874964 ;\n",
+      "Epoch 890/1000, Cost: 2.8189\n",
+      " and the parameters are [-3.20152977  4.30885526] -5.679651293725623 ;\n",
+      "Epoch 890/1000, Cost: 7.1669\n",
+      " and the parameters are [-3.2014857   4.30891428] -5.679620634669036 ;\n",
+      "Epoch 890/1000, Cost: 3.5445\n",
+      " and the parameters are [-3.20145753  4.30889771] -5.679681912560815 ;\n",
+      "Epoch 890/1000, Cost: 6.2653\n",
+      " and the parameters are [-3.20133589  4.30878048] -5.6798246248334925 ;\n",
+      "Epoch 890/1000, Cost: 2.4726\n",
+      " and the parameters are [-3.20130161  4.30892022] -5.679755844613416 ;\n",
+      "Epoch 890/1000, Cost: 2.2873\n",
+      " and the parameters are [-3.20130838  4.30898068] -5.679735589927851 ;\n",
+      "Epoch 890/1000, Cost: 2.0074\n",
+      " and the parameters are [-3.20135205  4.30890892] -5.679787774905482 ;\n",
+      "Epoch 890/1000, Cost: 2.9839\n",
+      " and the parameters are [-3.20130123  4.30904105] -5.679715190286924 ;\n",
+      "Epoch 890/1000, Cost: 3.5122\n",
+      " and the parameters are [-3.20132947  4.30893177] -5.679801867950121 ;\n",
+      "Epoch 890/1000, Cost: 8.6385\n",
+      " and the parameters are [-3.20132408  4.30897808] -5.679737057110997 ;\n",
+      "Epoch 890/1000, Cost: 1.9118\n",
+      " and the parameters are [-3.20132205  4.30895317] -5.679773555789913 ;\n",
+      "Epoch 890/1000, Cost: 2.6659\n",
+      " and the parameters are [-3.2012918   4.30887443] -5.679876118351363 ;\n",
+      "Epoch 890/1000, Cost: 3.0014\n",
+      " and the parameters are [-3.20131224  4.30894046] -5.6798327619539295 ;\n",
+      "Epoch 890/1000, Cost: 1.2854\n",
+      " and the parameters are [-3.20132285  4.30894258] -5.679847794380237 ;\n",
+      "Epoch 890/1000, Cost: 2.6366\n",
+      " and the parameters are [-3.20127269  4.30900927] -5.679854379004564 ;\n",
+      "Epoch 890/1000, Cost: 5.5052\n",
+      " and the parameters are [-3.20127219  4.30902333] -5.679849650987375 ;\n",
+      "Epoch 890/1000, Cost: 4.9121\n",
+      " and the parameters are [-3.20122411  4.309088  ] -5.679852596874884 ;\n",
+      "Epoch 890/1000, Cost: 0.3892\n",
+      " and the parameters are [-3.20123053  4.30909636] -5.679855414257042 ;\n",
+      "Epoch 890/1000, Cost: 3.1197\n",
+      " and the parameters are [-3.2011751   4.30916104] -5.679849880777835 ;\n",
+      "Epoch 890/1000, Cost: 4.5776\n",
+      " and the parameters are [-3.20115356  4.30911733] -5.679907131652944 ;\n",
+      "Epoch 890/1000, Cost: 2.9028\n",
+      " and the parameters are [-3.20112432  4.30914461] -5.679934300667951 ;\n",
+      "Epoch 890/1000, Cost: 0.8393\n",
+      " and the parameters are [-3.20114049  4.30917127] -5.679924815133599 ;\n",
+      "Epoch 890/1000, Cost: 1.1780\n",
+      " and the parameters are [-3.20116079  4.30920634] -5.679910255781417 ;\n",
+      "Epoch 890/1000, Cost: 2.7223\n",
+      " and the parameters are [-3.20113302  4.3092515 ] -5.679926232956284 ;\n",
+      "Epoch 890/1000, Cost: 5.1228\n",
+      " and the parameters are [-3.20119408  4.30932527] -5.679829041022179 ;\n",
+      "Epoch 890/1000, Cost: 2.9415\n",
+      " and the parameters are [-3.20124788  4.30939841] -5.679757167091995 ;\n",
+      "Epoch 890/1000, Cost: 1.5850\n",
+      " and the parameters are [-3.20123231  4.30945016] -5.679750888079168 ;\n",
+      "Epoch 890/1000, Cost: 1.2403\n",
+      " and the parameters are [-3.20120266  4.30951967] -5.6797368933321755 ;\n",
+      "Epoch 890/1000, Cost: 3.1461\n",
+      " and the parameters are [-3.20126919  4.30945536] -5.679756302533188 ;\n",
+      "Epoch 890/1000, Cost: 1.4370\n",
+      " and the parameters are [-3.20127973  4.30950691] -5.679731592623196 ;\n",
+      "Epoch 890/1000, Cost: 2.2556\n",
+      " and the parameters are [-3.20131561  4.30953579] -5.679710490572105 ;\n",
+      "Epoch 890/1000, Cost: 2.6288\n",
+      " and the parameters are [-3.20129766  4.30955559] -5.679719006520704 ;\n",
+      "Epoch 890/1000, Cost: 2.5812\n",
+      " and the parameters are [-3.20132783  4.30955248] -5.679727104615268 ;\n",
+      "Epoch 890/1000, Cost: 4.4296\n",
+      " and the parameters are [-3.20136178  4.30949515] -5.679749954343216 ;\n",
+      "Epoch 890/1000, Cost: 3.2203\n",
+      " and the parameters are [-3.2013004   4.30964461] -5.679681937682237 ;\n",
+      "Epoch 890/1000, Cost: 2.9911\n",
+      " and the parameters are [-3.20134195  4.30959252] -5.679720386247953 ;\n",
+      "Epoch 890/1000, Cost: 5.6694\n",
+      " and the parameters are [-3.20135607  4.30951558] -5.679755838852824 ;\n",
+      "Epoch 890/1000, Cost: 2.5397\n",
+      " and the parameters are [-3.20136665  4.3096265 ] -5.679695107482273 ;\n",
+      "Epoch 890/1000, Cost: 2.9797\n",
+      " and the parameters are [-3.20132248  4.30978944] -5.679623105413702 ;\n",
+      "Epoch 890/1000, Cost: 3.5259\n",
+      " and the parameters are [-3.20130034  4.3097452 ] -5.679682518739762 ;\n",
+      "Epoch 890/1000, Cost: 3.8733\n",
+      " and the parameters are [-3.20135498  4.30973319] -5.679665437175399 ;\n",
+      "Epoch 890/1000, Cost: 2.8289\n",
+      " and the parameters are [-3.2013648   4.30964699] -5.679734370316004 ;\n",
+      "Epoch 890/1000, Cost: 1.4528\n",
+      " and the parameters are [-3.20136735  4.30962312] -5.679766187309247 ;\n",
+      "Epoch 890/1000, Cost: 3.1884\n",
+      " and the parameters are [-3.20136657  4.30957732] -5.679826901796728 ;\n",
+      "Epoch 890/1000, Cost: 2.8014\n",
+      " and the parameters are [-3.20141249  4.30959516] -5.6798114507863415 ;\n",
+      "Epoch 890/1000, Cost: 0.4807\n",
+      " and the parameters are [-3.20140263  4.30960208] -5.67982449390376 ;\n",
+      "Epoch 890/1000, Cost: 2.8277\n",
+      " and the parameters are [-3.20142436  4.30959942] -5.679828228016044 ;\n",
+      "Epoch 890/1000, Cost: 2.9061\n",
+      " and the parameters are [-3.20147819  4.30961037] -5.679810250660581 ;\n",
+      "Epoch 890/1000, Cost: 3.9921\n",
+      " and the parameters are [-3.20145574  4.30958865] -5.679874733970476 ;\n",
+      "Epoch 890/1000, Cost: 3.9990\n",
+      " and the parameters are [-3.20150913  4.30948031] -5.679940156625589 ;\n",
+      "Epoch 890/1000, Cost: 4.2307\n",
+      " and the parameters are [-3.20157655  4.30940688] -5.679965869124987 ;\n",
+      "Epoch 890/1000, Cost: 1.7984\n",
+      " and the parameters are [-3.20157323  4.30951363] -5.679904610224069 ;\n",
+      "Epoch 890/1000, Cost: 1.3075\n",
+      " and the parameters are [-3.20157192  4.30958078] -5.679872168153972 ;\n",
+      "Epoch 890/1000, Cost: 4.2703\n",
+      " and the parameters are [-3.20154685  4.30962717] -5.6798573168659905 ;\n",
+      "Epoch 890/1000, Cost: 1.0765\n",
+      " and the parameters are [-3.20157629  4.30961271] -5.679871090483488 ;\n",
+      "Epoch 890/1000, Cost: 0.9598\n",
+      " and the parameters are [-3.20158965  4.30966476] -5.679840889235563 ;\n",
+      "Epoch 890/1000, Cost: 0.9744\n",
+      " and the parameters are [-3.20159616  4.30971212] -5.679821768050606 ;\n",
+      "Epoch 890/1000, Cost: 3.7824\n",
+      " and the parameters are [-3.20162074  4.30962066] -5.679868008252559 ;\n",
+      "Epoch 890/1000, Cost: 2.9568\n",
+      " and the parameters are [-3.201647    4.30953141] -5.679941362004269 ;\n",
+      "Epoch 890/1000, Cost: 2.4212\n",
+      " and the parameters are [-3.20163061  4.30964685] -5.679884214476661 ;\n",
+      "Epoch 890/1000, Cost: 3.5853\n",
+      " and the parameters are [-3.20165089  4.30967547] -5.679867731909295 ;\n",
+      "Epoch 890/1000, Cost: 1.0939\n",
+      " and the parameters are [-3.20161433  4.30968217] -5.679901122221574 ;\n",
+      "Epoch 890/1000, Cost: 2.0673\n",
+      " and the parameters are [-3.20164265  4.30975848] -5.679843863893475 ;\n",
+      "Epoch 890/1000, Cost: 2.9142\n",
+      " and the parameters are [-3.20162714  4.30983748] -5.679830818408696 ;\n",
+      "Epoch 890/1000, Cost: 2.3585\n",
+      " and the parameters are [-3.20166359  4.30973039] -5.679903159278859 ;\n",
+      "Epoch 890/1000, Cost: 1.9738\n",
+      " and the parameters are [-3.20165602  4.30971702] -5.679938255691269 ;\n",
+      "Epoch 890/1000, Cost: 5.4654\n",
+      " and the parameters are [-3.2015944  4.3096291] -5.680040259316559 ;\n",
+      "Epoch 890/1000, Cost: 2.8579\n",
+      " and the parameters are [-3.20157764  4.30967209] -5.680035315088688 ;\n",
+      "Epoch 890/1000, Cost: 1.2186\n",
+      " and the parameters are [-3.2015837   4.30964008] -5.680069772043614 ;\n",
+      "Epoch 890/1000, Cost: 3.8744\n",
+      " and the parameters are [-3.20161473  4.30962559] -5.680081553498213 ;\n",
+      "Epoch 890/1000, Cost: 2.8205\n",
+      " and the parameters are [-3.20156668  4.30965633] -5.680100625233972 ;\n",
+      "Epoch 890/1000, Cost: 2.7950\n",
+      " and the parameters are [-3.20157833  4.30955524] -5.680180857758818 ;\n",
+      "Epoch 890/1000, Cost: 0.8223\n",
+      " and the parameters are [-3.20159389  4.30955831] -5.680192381839424 ;\n",
+      "Epoch 890/1000, Cost: 4.4259\n",
+      " and the parameters are [-3.2016889   4.30956345] -5.680154780044081 ;\n",
+      "Epoch 890/1000, Cost: 1.0421\n",
+      " and the parameters are [-3.20168973  4.30959858] -5.68015084956679 ;\n",
+      "Epoch 890/1000, Cost: 2.1723\n",
+      " and the parameters are [-3.20171278  4.30960014] -5.680163352202743 ;\n",
+      "Epoch 890/1000, Cost: 2.2768\n",
+      " and the parameters are [-3.20171314  4.30957492] -5.68019805849268 ;\n",
+      "Epoch 890/1000, Cost: 2.2527\n",
+      " and the parameters are [-3.2017022   4.30965646] -5.6801632419310755 ;\n",
+      "Epoch 890/1000, Cost: 2.1425\n",
+      " and the parameters are [-3.20160883  4.30975019] -5.680168245477482 ;\n",
+      "Epoch 890/1000, Cost: 3.2826\n",
+      " and the parameters are [-3.20150841  4.30975208] -5.680237330795693 ;\n",
+      "Epoch 890/1000, Cost: 2.6695\n",
+      " and the parameters are [-3.20149171  4.30973154] -5.680295304461901 ;\n",
+      "Epoch 890/1000, Cost: 4.9990\n",
+      " and the parameters are [-3.20152778  4.30969516] -5.680300695395745 ;\n",
+      "Epoch 890/1000, Cost: 5.0463\n",
+      " and the parameters are [-3.2014528   4.30969975] -5.680364497746857 ;\n",
+      "Epoch 890/1000, Cost: 3.5534\n",
+      " and the parameters are [-3.20142261  4.30973828] -5.680360688472576 ;\n",
+      "Epoch 890/1000, Cost: 0.8502\n",
+      " and the parameters are [-3.2014306   4.30973822] -5.680373207039137 ;\n",
+      "Epoch 890/1000, Cost: 4.0000\n",
+      " and the parameters are [-3.20139398  4.30986486] -5.6803202844426375 ;\n",
+      "Epoch 890/1000, Cost: 2.7426\n",
+      " and the parameters are [-3.2015141   4.30969878] -5.680398055802974 ;\n",
+      "Epoch 890/1000, Cost: 3.4695\n",
+      " and the parameters are [-3.20151433  4.3098106 ] -5.680322760449132 ;\n",
+      "Epoch 890/1000, Cost: 3.0916\n",
+      " and the parameters are [-3.20157457  4.30970519] -5.6803955342803 ;\n",
+      "Epoch 890/1000, Cost: 2.5508\n",
+      " and the parameters are [-3.20155603  4.30984327] -5.680316478333343 ;\n",
+      "Epoch 890/1000, Cost: 3.8350\n",
+      " and the parameters are [-3.20154589  4.30993478] -5.6802562540805726 ;\n",
+      "Epoch 890/1000, Cost: 3.9261\n",
+      " and the parameters are [-3.20156905  4.30978885] -5.680364336445948 ;\n",
+      "Epoch 890/1000, Cost: 12.7793\n",
+      " and the parameters are [-3.20155778  4.30956494] -5.68046853177613 ;\n",
+      "Epoch 890/1000, Cost: 1.5425\n",
+      " and the parameters are [-3.20157493  4.30953388] -5.680504643182962 ;\n",
+      "Epoch 890/1000, Cost: 1.9292\n",
+      " and the parameters are [-3.20161573  4.30961585] -5.68043702331273 ;\n",
+      "Epoch 890/1000, Cost: 7.3843\n",
+      " and the parameters are [-3.20145568  4.30956361] -5.680548531549812 ;\n",
+      "Epoch 890/1000, Cost: 3.4033\n",
+      " and the parameters are [-3.20143075  4.30964283] -5.680518074816176 ;\n",
+      "Epoch 890/1000, Cost: 6.7199\n",
+      " and the parameters are [-3.20148622  4.30960371] -5.680505270367194 ;\n",
+      "Epoch 890/1000, Cost: 1.4791\n",
+      " and the parameters are [-3.20145954  4.30967959] -5.680490245489662 ;\n",
+      "Epoch 890/1000, Cost: 3.0584\n",
+      " and the parameters are [-3.20147173  4.30970761] -5.680487708761059 ;\n",
+      "Epoch 890/1000, Cost: 1.7549\n",
+      " and the parameters are [-3.2014547   4.30969609] -5.680527236530309 ;\n",
+      "Epoch 890/1000, Cost: 6.6310\n",
+      " and the parameters are [-3.2015389   4.30972765] -5.680439774660156 ;\n",
+      "Epoch 890/1000, Cost: 1.5536\n",
+      " and the parameters are [-3.20154202  4.30982961] -5.680384871691084 ;\n",
+      "Epoch 890/1000, Cost: 2.0972\n",
+      " and the parameters are [-3.20151452  4.30993509] -5.680339693634466 ;\n",
+      "Epoch 890/1000, Cost: 1.7104\n",
+      " and the parameters are [-3.20152902  4.30988623] -5.680393829914021 ;\n",
+      "Epoch 890/1000, Cost: 2.1788\n",
+      " and the parameters are [-3.2015205   4.30986169] -5.680443948659242 ;\n",
+      "Epoch 890/1000, Cost: 6.0754\n",
+      " and the parameters are [-3.20156396  4.30974602] -5.680510913957897 ;\n",
+      "Epoch 890/1000, Cost: 2.9925\n",
+      " and the parameters are [-3.20160295  4.30977645] -5.68047468629678 ;\n",
+      "Epoch 890/1000, Cost: 1.2496\n",
+      " and the parameters are [-3.20158758  4.30981033] -5.680477029863571 ;\n",
+      "Epoch 890/1000, Cost: 1.8622\n",
+      " and the parameters are [-3.20157176  4.30980356] -5.6805096802746 ;\n",
+      "Epoch 890/1000, Cost: 1.1964\n",
+      " and the parameters are [-3.20154708  4.30986782] -5.680491661327216 ;\n",
+      "Epoch 890/1000, Cost: 2.8868\n",
+      " and the parameters are [-3.20164755  4.30981014] -5.680498967447376 ;\n",
+      "Epoch 890/1000, Cost: 4.2824\n",
+      " and the parameters are [-3.20167094  4.30972043] -5.680558305002096 ;\n",
+      "Epoch 890/1000, Cost: 3.9510\n",
+      " and the parameters are [-3.2016215  4.3098089] -5.680532736521736 ;\n",
+      "Epoch 890/1000, Cost: 5.3815\n",
+      " and the parameters are [-3.2015845   4.30992974] -5.680453588452818 ;\n",
+      "Epoch 890/1000, Cost: 5.3788\n",
+      " and the parameters are [-3.20166869  4.30986531] -5.680454699779634 ;\n",
+      "Epoch 890/1000, Cost: 2.2704\n",
+      " and the parameters are [-3.20173363  4.30987313] -5.680431413906318 ;\n",
+      "Epoch 890/1000, Cost: 1.8100\n",
+      " and the parameters are [-3.20171974  4.30989168] -5.68044947815703 ;\n",
+      "Epoch 890/1000, Cost: 4.1088\n",
+      " and the parameters are [-3.20180086  4.30980436] -5.6804771439667965 ;\n",
+      "Epoch 890/1000, Cost: 1.6001\n",
+      " and the parameters are [-3.2017998   4.30983819] -5.68047246788267 ;\n",
+      "Epoch 890/1000, Cost: 3.2761\n",
+      " and the parameters are [-3.20179829  4.30988393] -5.680436928721254 ;\n",
+      "Epoch 890/1000, Cost: 1.5380\n",
+      " and the parameters are [-3.20182501  4.30988842] -5.680434773787792 ;\n",
+      "Epoch 890/1000, Cost: 1.6385\n",
+      " and the parameters are [-3.20184545  4.30989626] -5.680442976715296 ;\n",
+      "Epoch 890/1000, Cost: 1.8045\n",
+      " and the parameters are [-3.20192758  4.30987328] -5.680432110288603 ;\n",
+      "Epoch 890/1000, Cost: 2.1749\n",
+      " and the parameters are [-3.20188581  4.30995211] -5.680416222777221 ;\n",
+      "Epoch 890/1000, Cost: 1.6951\n",
+      " and the parameters are [-3.20186506  4.30996475] -5.680432943606778 ;\n",
+      "Epoch 890/1000, Cost: 1.3415\n",
+      " and the parameters are [-3.2018544   4.30999703] -5.680440775544273 ;\n",
+      "Epoch 890/1000, Cost: 3.4227\n",
+      " and the parameters are [-3.20191509  4.30999677] -5.6804317986443476 ;\n",
+      "Epoch 890/1000, Cost: 4.2026\n",
+      " and the parameters are [-3.20197045  4.3099029 ] -5.6804795206888254 ;\n",
+      "Epoch 890/1000, Cost: 1.9227\n",
+      " and the parameters are [-3.20192077  4.31003517] -5.680424929591567 ;\n",
+      "Epoch 890/1000, Cost: 3.8580\n",
+      " and the parameters are [-3.20186277  4.31002624] -5.680479288895986 ;\n",
+      "Epoch 890/1000, Cost: 1.9469\n",
+      " and the parameters are [-3.20184918  4.31000433] -5.680533446517505 ;\n",
+      "Epoch 890/1000, Cost: 4.8316\n",
+      " and the parameters are [-3.20185593  4.30992915] -5.680610540996378 ;\n",
+      "Epoch 890/1000, Cost: 2.4960\n",
+      " and the parameters are [-3.20189663  4.30988664] -5.6806410327944405 ;\n",
+      "Epoch 890/1000, Cost: 1.7642\n",
+      " and the parameters are [-3.20193082  4.30980112] -5.680709769023339 ;\n",
+      "Epoch 890/1000, Cost: 1.5019\n",
+      " and the parameters are [-3.20196717  4.30983418] -5.680690430348961 ;\n",
+      "Epoch 890/1000, Cost: 4.3228\n",
+      " and the parameters are [-3.20191683  4.30984709] -5.680706646433293 ;\n",
+      "Epoch 890/1000, Cost: 3.9173\n",
+      " and the parameters are [-3.20192062  4.30983186] -5.680727252557724 ;\n",
+      "Epoch 890/1000, Cost: 0.6286\n",
+      " and the parameters are [-3.20193297  4.30981385] -5.680747274261946 ;\n",
+      "Epoch 890/1000, Cost: 3.9787\n",
+      " and the parameters are [-3.20188343  4.30971878] -5.680849281527198 ;\n",
+      "Epoch 890/1000, Cost: 2.1171\n",
+      " and the parameters are [-3.20190623  4.30967596] -5.68089347931987 ;\n",
+      "Epoch 890/1000, Cost: 2.2658\n",
+      " and the parameters are [-3.20188909  4.30969103] -5.680918226294616 ;\n",
+      "Epoch 890/1000, Cost: 5.4563\n",
+      " and the parameters are [-3.20185436  4.30959232] -5.681007791058525 ;\n",
+      "Epoch 890/1000, Cost: 11.6053\n",
+      " and the parameters are [-3.2019363  4.3097009] -5.6808294448470065 ;\n",
+      "Epoch 890/1000, Cost: 0.9282\n",
+      " and the parameters are [-3.20198596  4.30969564] -5.680824828687745 ;\n",
+      "Epoch 890/1000, Cost: 2.8405\n",
+      " and the parameters are [-3.20202324  4.30971267] -5.680809753932758 ;\n",
+      "Epoch 890/1000, Cost: 1.7967\n",
+      " and the parameters are [-3.20205856  4.30973334] -5.680806094442733 ;\n",
+      "Epoch 890/1000, Cost: 6.4524\n",
+      " and the parameters are [-3.20205172  4.30981684] -5.680734411078132 ;\n",
+      "Epoch 890/1000, Cost: 2.9376\n",
+      " and the parameters are [-3.20208888  4.30974502] -5.680778792199562 ;\n",
+      "Epoch 890/1000, Cost: 1.7404\n",
+      " and the parameters are [-3.20207747  4.3097576 ] -5.680795938469347 ;\n",
+      "Epoch 890/1000, Cost: 1.0846\n",
+      " and the parameters are [-3.20207938  4.30977394] -5.680801127050439 ;\n",
+      "Epoch 890/1000, Cost: 3.7199\n",
+      " and the parameters are [-3.20198743  4.3098185 ] -5.680832468982878 ;\n",
+      "Epoch 890/1000, Cost: 5.0427\n",
+      " and the parameters are [-3.20194494  4.30982674] -5.680862670973409 ;\n",
+      "Epoch 890/1000, Cost: 3.3121\n",
+      " and the parameters are [-3.20200092  4.30975886] -5.680898996853502 ;\n",
+      "Epoch 890/1000, Cost: 1.5498\n",
+      " and the parameters are [-3.201985    4.30980678] -5.680897940010702 ;\n",
+      "Epoch 890/1000, Cost: 1.5714\n",
+      " and the parameters are [-3.2019736   4.30981222] -5.680922855004 ;\n",
+      "Epoch 890/1000, Cost: 0.9311\n",
+      " and the parameters are [-3.20196871  4.30981607] -5.680940809433357 ;\n",
+      "Epoch 890/1000, Cost: 0.5837\n",
+      " and the parameters are [-3.20197548  4.30982725] -5.680944097324003 ;\n",
+      "Epoch 890/1000, Cost: 3.2977\n",
+      " and the parameters are [-3.20198183  4.30982061] -5.680971450567868 ;\n",
+      "Epoch 890/1000, Cost: 3.0999\n",
+      " and the parameters are [-3.20198415  4.3097934 ] -5.6810013407150155 ;\n",
+      "Epoch 890/1000, Cost: 3.9602\n",
+      " and the parameters are [-3.20194059  4.30982517] -5.681018815564396 ;\n",
+      "Epoch 890/1000, Cost: 1.0234\n",
+      " and the parameters are [-3.20194101  4.30988349] -5.680993542565105 ;\n",
+      "Epoch 890/1000, Cost: 0.3589\n",
+      " and the parameters are [-3.20193835  4.30990696] -5.68098954813544 ;\n",
+      "Epoch 890/1000, Cost: 1.7883\n",
+      " and the parameters are [-3.20194522  4.30990736] -5.6810136151430095 ;\n",
+      "Epoch 890/1000, Cost: 3.6142\n",
+      " and the parameters are [-3.20192175  4.30990891] -5.681033041010114 ;\n",
+      "Epoch 890/1000, Cost: 4.3617\n",
+      " and the parameters are [-3.20196945  4.30986202] -5.6810712928996425 ;\n",
+      "Epoch 890/1000, Cost: 1.8272\n",
+      " and the parameters are [-3.20198695  4.30982507] -5.681111389954258 ;\n",
+      "Epoch 890/1000, Cost: 5.1280\n",
+      " and the parameters are [-3.20195241  4.309766  ] -5.6811760555822515 ;\n",
+      "Epoch 890/1000, Cost: 1.9819\n",
+      " and the parameters are [-3.20195287  4.3097177 ] -5.681218166854638 ;\n",
+      "Epoch 890/1000, Cost: 2.4171\n",
+      " and the parameters are [-3.20202602  4.30968124] -5.681226491330054 ;\n",
+      "Epoch 890/1000, Cost: 2.0947\n",
+      " and the parameters are [-3.20203567  4.30972492] -5.681219213228567 ;\n",
+      "Epoch 890/1000, Cost: 3.9778\n",
+      " and the parameters are [-3.20208974  4.30974818] -5.681181753082958 ;\n",
+      "Epoch 890/1000, Cost: 2.4018\n",
+      " and the parameters are [-3.20201934  4.30984129] -5.681171091965289 ;\n",
+      "Epoch 890/1000, Cost: 2.7034\n",
+      " and the parameters are [-3.20200183  4.30995542] -5.681118920300999 ;\n",
+      "Epoch 890/1000, Cost: 3.7492\n",
+      " and the parameters are [-3.20204814  4.3098018 ] -5.6812226544446425 ;\n",
+      "Epoch 890/1000, Cost: 2.6134\n",
+      " and the parameters are [-3.202082    4.30981863] -5.681211641671049 ;\n",
+      "Epoch 890/1000, Cost: 3.6058\n",
+      " and the parameters are [-3.20205672  4.30981542] -5.681246469944781 ;\n",
+      "Epoch 890/1000, Cost: 4.3265\n",
+      " and the parameters are [-3.20204263  4.30985952] -5.681230629077058 ;\n",
+      "Epoch 890/1000, Cost: 0.9556\n",
+      " and the parameters are [-3.20206644  4.30983089] -5.681258594065544 ;\n",
+      "Epoch 890/1000, Cost: 2.4971\n",
+      " and the parameters are [-3.20210383  4.30986621] -5.6812348238703265 ;\n",
+      "Epoch 890/1000, Cost: 4.3516\n",
+      " and the parameters are [-3.20213123  4.30996435] -5.681173161120045 ;\n",
+      "Epoch 890/1000, Cost: 3.7845\n",
+      " and the parameters are [-3.20215383  4.3099163 ] -5.681205527655812 ;\n",
+      "Epoch 890/1000, Cost: 1.4175\n",
+      " and the parameters are [-3.20217214  4.30995288] -5.681186803701101 ;\n",
+      "Epoch 890/1000, Cost: 3.4079\n",
+      " and the parameters are [-3.20220358  4.30999713] -5.681146494378336 ;\n",
+      "Epoch 890/1000, Cost: 2.2224\n",
+      " and the parameters are [-3.20223681  4.31003784] -5.6811209520566415 ;\n",
+      "Epoch 890/1000, Cost: 1.6065\n",
+      " and the parameters are [-3.2022242   4.31008945] -5.681114000415635 ;\n",
+      "Epoch 890/1000, Cost: 6.7672\n",
+      " and the parameters are [-3.20218145  4.31017648] -5.681053097474136 ;\n",
+      "Epoch 890/1000, Cost: 1.1108\n",
+      " and the parameters are [-3.20217401  4.3101711 ] -5.681080398695692 ;\n",
+      "Epoch 890/1000, Cost: 0.6324\n",
+      " and the parameters are [-3.20216836  4.31019512] -5.6810821634195 ;\n",
+      "Epoch 890/1000, Cost: 4.0646\n",
+      " and the parameters are [-3.20215643  4.31029813] -5.681026740346454 ;\n",
+      "Epoch 900/1000, Cost: 4.7821\n",
+      " and the parameters are [-3.21031321  4.32035294] -5.69543395307598 ;\n",
+      "Epoch 900/1000, Cost: 2.6879\n",
+      " and the parameters are [-3.21029109  4.3203242 ] -5.695492034255603 ;\n",
+      "Epoch 900/1000, Cost: 2.3298\n",
+      " and the parameters are [-3.21028955  4.32038515] -5.695467515025371 ;\n",
+      "Epoch 900/1000, Cost: 1.5968\n",
+      " and the parameters are [-3.21030611  4.32039748] -5.695473481349674 ;\n",
+      "Epoch 900/1000, Cost: 1.1407\n",
+      " and the parameters are [-3.21031143  4.32037084] -5.695505782776085 ;\n",
+      "Epoch 900/1000, Cost: 1.6135\n",
+      " and the parameters are [-3.21034139  4.32035404] -5.695527041727687 ;\n",
+      "Epoch 900/1000, Cost: 2.2282\n",
+      " and the parameters are [-3.21031182  4.32050862] -5.695446755443033 ;\n",
+      "Epoch 900/1000, Cost: 2.8403\n",
+      " and the parameters are [-3.21035963  4.32038995] -5.695527460447934 ;\n",
+      "Epoch 900/1000, Cost: 4.1301\n",
+      " and the parameters are [-3.21032948  4.32040548] -5.6955596427039605 ;\n",
+      "Epoch 900/1000, Cost: 0.8255\n",
+      " and the parameters are [-3.21034798  4.32042902] -5.695549793640752 ;\n",
+      "Epoch 900/1000, Cost: 5.1111\n",
+      " and the parameters are [-3.21022441  4.32045229] -5.6956066237206855 ;\n",
+      "Epoch 900/1000, Cost: 4.0201\n",
+      " and the parameters are [-3.21029919  4.32039409] -5.695621643705248 ;\n",
+      "Epoch 900/1000, Cost: 2.3611\n",
+      " and the parameters are [-3.21028878  4.32042598] -5.695624968698332 ;\n",
+      "Epoch 900/1000, Cost: 0.7192\n",
+      " and the parameters are [-3.21030937  4.32040351] -5.695648958649385 ;\n",
+      "Epoch 900/1000, Cost: 0.7189\n",
+      " and the parameters are [-3.21031751  4.3204216 ] -5.695650449171317 ;\n",
+      "Epoch 900/1000, Cost: 1.8266\n",
+      " and the parameters are [-3.21032125  4.32045743] -5.695647215636274 ;\n",
+      "Epoch 900/1000, Cost: 1.4005\n",
+      " and the parameters are [-3.21032911  4.32044655] -5.695679698699397 ;\n",
+      "Epoch 900/1000, Cost: 3.8242\n",
+      " and the parameters are [-3.21032333  4.32047489] -5.695669417748153 ;\n",
+      "Epoch 900/1000, Cost: 2.5852\n",
+      " and the parameters are [-3.2102706   4.32055562] -5.695652851285842 ;\n",
+      "Epoch 900/1000, Cost: 1.4859\n",
+      " and the parameters are [-3.21032177  4.32050534] -5.695681913292317 ;\n",
+      "Epoch 900/1000, Cost: 3.3379\n",
+      " and the parameters are [-3.21039062  4.32038223] -5.695753037846327 ;\n",
+      "Epoch 900/1000, Cost: 1.6095\n",
+      " and the parameters are [-3.21037435  4.32035194] -5.695806812612772 ;\n",
+      "Epoch 900/1000, Cost: 2.4238\n",
+      " and the parameters are [-3.21031851  4.32052211] -5.695733054422647 ;\n",
+      "Epoch 900/1000, Cost: 1.2912\n",
+      " and the parameters are [-3.21029908  4.32060405] -5.695699631122582 ;\n",
+      "Epoch 900/1000, Cost: 1.8733\n",
+      " and the parameters are [-3.21034237  4.32057332] -5.695715115731686 ;\n",
+      "Epoch 900/1000, Cost: 3.4443\n",
+      " and the parameters are [-3.21034376  4.32066   ] -5.695663648591264 ;\n",
+      "Epoch 900/1000, Cost: 3.3689\n",
+      " and the parameters are [-3.21043692  4.32052982] -5.695714903582991 ;\n",
+      "Epoch 900/1000, Cost: 1.7307\n",
+      " and the parameters are [-3.21048148  4.3205089 ] -5.69572952621174 ;\n",
+      "Epoch 900/1000, Cost: 2.1123\n",
+      " and the parameters are [-3.21050918  4.32050794] -5.695736579544562 ;\n",
+      "Epoch 900/1000, Cost: 2.1807\n",
+      " and the parameters are [-3.21047065  4.32057519] -5.6957287111201484 ;\n",
+      "Epoch 900/1000, Cost: 1.9140\n",
+      " and the parameters are [-3.21046602  4.32052162] -5.695787297393061 ;\n",
+      "Epoch 900/1000, Cost: 0.4697\n",
+      " and the parameters are [-3.2104606   4.32055877] -5.695774456673701 ;\n",
+      "Epoch 900/1000, Cost: 2.6563\n",
+      " and the parameters are [-3.21050129  4.3206316 ] -5.695712346094618 ;\n",
+      "Epoch 900/1000, Cost: 4.2055\n",
+      " and the parameters are [-3.2104834   4.32066166] -5.695716509500278 ;\n",
+      "Epoch 900/1000, Cost: 1.3885\n",
+      " and the parameters are [-3.21047583  4.32064729] -5.695756417503134 ;\n",
+      "Epoch 900/1000, Cost: 5.0758\n",
+      " and the parameters are [-3.21046168  4.32052243] -5.695859719831118 ;\n",
+      "Epoch 900/1000, Cost: 5.5276\n",
+      " and the parameters are [-3.21055864  4.3204577 ] -5.695872759108553 ;\n",
+      "Epoch 900/1000, Cost: 2.2043\n",
+      " and the parameters are [-3.21055314  4.32054874] -5.69583691629655 ;\n",
+      "Epoch 900/1000, Cost: 2.1362\n",
+      " and the parameters are [-3.21049197  4.32061112] -5.695844691780537 ;\n",
+      "Epoch 900/1000, Cost: 1.7444\n",
+      " and the parameters are [-3.21045654  4.32061255] -5.695890202936538 ;\n",
+      "Epoch 900/1000, Cost: 1.5245\n",
+      " and the parameters are [-3.21047041  4.32065055] -5.69587051300925 ;\n",
+      "Epoch 900/1000, Cost: 1.2795\n",
+      " and the parameters are [-3.21047732  4.32062752] -5.695906951961624 ;\n",
+      "Epoch 900/1000, Cost: 4.9138\n",
+      " and the parameters are [-3.21047627  4.32046536] -5.696040469027014 ;\n",
+      "Epoch 900/1000, Cost: 1.4105\n",
+      " and the parameters are [-3.21047493  4.32053421] -5.6960146000623615 ;\n",
+      "Epoch 900/1000, Cost: 1.8944\n",
+      " and the parameters are [-3.21050494  4.32046369] -5.696075992538159 ;\n",
+      "Epoch 900/1000, Cost: 2.4001\n",
+      " and the parameters are [-3.21059854  4.32046124] -5.696042022208699 ;\n",
+      "Epoch 900/1000, Cost: 3.9506\n",
+      " and the parameters are [-3.21058519  4.32047211] -5.696057048120593 ;\n",
+      "Epoch 900/1000, Cost: 3.4873\n",
+      " and the parameters are [-3.21060189  4.32046041] -5.69608528370162 ;\n",
+      "Epoch 900/1000, Cost: 0.7216\n",
+      " and the parameters are [-3.21059258  4.32052602] -5.6960576366446185 ;\n",
+      "Epoch 900/1000, Cost: 1.2293\n",
+      " and the parameters are [-3.21061709  4.32056662] -5.696028856906833 ;\n",
+      "Epoch 900/1000, Cost: 1.8715\n",
+      " and the parameters are [-3.21055763  4.32059687] -5.696067428041834 ;\n",
+      "Epoch 900/1000, Cost: 3.1089\n",
+      " and the parameters are [-3.21058941  4.32051614] -5.696126270163545 ;\n",
+      "Epoch 900/1000, Cost: 3.2839\n",
+      " and the parameters are [-3.21061219  4.32052987] -5.696116965080506 ;\n",
+      "Epoch 900/1000, Cost: 2.1778\n",
+      " and the parameters are [-3.21067075  4.32053358] -5.696103272425534 ;\n",
+      "Epoch 900/1000, Cost: 2.2285\n",
+      " and the parameters are [-3.21064676  4.32059095] -5.696093145453881 ;\n",
+      "Epoch 900/1000, Cost: 1.4879\n",
+      " and the parameters are [-3.21066419  4.32058773] -5.696109860350335 ;\n",
+      "Epoch 900/1000, Cost: 3.9631\n",
+      " and the parameters are [-3.21066183  4.32056283] -5.696148456724264 ;\n",
+      "Epoch 900/1000, Cost: 4.7774\n",
+      " and the parameters are [-3.21075237  4.32042355] -5.696203888640222 ;\n",
+      "Epoch 900/1000, Cost: 3.6276\n",
+      " and the parameters are [-3.21070687  4.32039365] -5.696266802583818 ;\n",
+      "Epoch 900/1000, Cost: 4.9183\n",
+      " and the parameters are [-3.21065558  4.32037043] -5.69632293282589 ;\n",
+      "Epoch 900/1000, Cost: 2.4664\n",
+      " and the parameters are [-3.21059511  4.32044991] -5.696311037782452 ;\n",
+      "Epoch 900/1000, Cost: 1.3438\n",
+      " and the parameters are [-3.2106177   4.32045356] -5.696320951351431 ;\n",
+      "Epoch 900/1000, Cost: 0.6888\n",
+      " and the parameters are [-3.21062251  4.32047658] -5.696315011995486 ;\n",
+      "Epoch 900/1000, Cost: 1.0029\n",
+      " and the parameters are [-3.21063541  4.32049529] -5.6963157931317445 ;\n",
+      "Epoch 900/1000, Cost: 4.4831\n",
+      " and the parameters are [-3.21063771  4.32056305] -5.6962795061087235 ;\n",
+      "Epoch 900/1000, Cost: 4.8113\n",
+      " and the parameters are [-3.21064428  4.32053743] -5.696299385756896 ;\n",
+      "Epoch 900/1000, Cost: 5.4565\n",
+      " and the parameters are [-3.21058964  4.32066144] -5.696246095044178 ;\n",
+      "Epoch 900/1000, Cost: 5.3238\n",
+      " and the parameters are [-3.21063182  4.32050587] -5.696340085124686 ;\n",
+      "Epoch 900/1000, Cost: 1.6985\n",
+      " and the parameters are [-3.21065472  4.32045532] -5.696382141080206 ;\n",
+      "Epoch 900/1000, Cost: 2.7940\n",
+      " and the parameters are [-3.21061343  4.32040818] -5.6964535488029675 ;\n",
+      "Epoch 900/1000, Cost: 2.0951\n",
+      " and the parameters are [-3.21063427  4.32041374] -5.6964677498335705 ;\n",
+      "Epoch 900/1000, Cost: 2.4223\n",
+      " and the parameters are [-3.21066121  4.32044347] -5.696456138088774 ;\n",
+      "Epoch 900/1000, Cost: 3.5146\n",
+      " and the parameters are [-3.21068342  4.32045485] -5.6964422739397165 ;\n",
+      "Epoch 900/1000, Cost: 1.4938\n",
+      " and the parameters are [-3.21070065  4.32049885] -5.696425077739989 ;\n",
+      "Epoch 900/1000, Cost: 5.0537\n",
+      " and the parameters are [-3.21058338  4.32049185] -5.696496640014986 ;\n",
+      "Epoch 900/1000, Cost: 3.1410\n",
+      " and the parameters are [-3.21057481  4.32044045] -5.696557473128807 ;\n",
+      "Epoch 900/1000, Cost: 2.2955\n",
+      " and the parameters are [-3.21057902  4.32038347] -5.69660171985198 ;\n",
+      "Epoch 900/1000, Cost: 1.5857\n",
+      " and the parameters are [-3.2105816   4.32036701] -5.696636013055968 ;\n",
+      "Epoch 900/1000, Cost: 4.9691\n",
+      " and the parameters are [-3.21051937  4.32046501] -5.696598695557869 ;\n",
+      "Epoch 900/1000, Cost: 5.2440\n",
+      " and the parameters are [-3.21053067  4.32049836] -5.6965608962601975 ;\n",
+      "Epoch 900/1000, Cost: 5.4034\n",
+      " and the parameters are [-3.21049536  4.32047896] -5.696585952529316 ;\n",
+      "Epoch 900/1000, Cost: 4.1975\n",
+      " and the parameters are [-3.21047468  4.32059063] -5.696538975876739 ;\n",
+      "Epoch 900/1000, Cost: 1.7360\n",
+      " and the parameters are [-3.21049598  4.32066294] -5.696500081603466 ;\n",
+      "Epoch 900/1000, Cost: 2.1967\n",
+      " and the parameters are [-3.21052642  4.3206056 ] -5.6965499013520455 ;\n",
+      "Epoch 900/1000, Cost: 3.3994\n",
+      " and the parameters are [-3.21054919  4.32066513] -5.696513576929455 ;\n",
+      "Epoch 900/1000, Cost: 4.9968\n",
+      " and the parameters are [-3.21051616  4.32062993] -5.696548984575269 ;\n",
+      "Epoch 900/1000, Cost: 1.6550\n",
+      " and the parameters are [-3.21048355  4.32067449] -5.69656125676104 ;\n",
+      "Epoch 900/1000, Cost: 1.5115\n",
+      " and the parameters are [-3.21045577  4.32073769] -5.696548875693873 ;\n",
+      "Epoch 900/1000, Cost: 1.0668\n",
+      " and the parameters are [-3.21044817  4.32076917] -5.69654777669241 ;\n",
+      "Epoch 900/1000, Cost: 1.1092\n",
+      " and the parameters are [-3.21043232  4.32082897] -5.696529944321616 ;\n",
+      "Epoch 900/1000, Cost: 2.4313\n",
+      " and the parameters are [-3.21039449  4.32080913] -5.696585053994637 ;\n",
+      "Epoch 900/1000, Cost: 2.0132\n",
+      " and the parameters are [-3.21038168  4.32091566] -5.696537253613957 ;\n",
+      "Epoch 900/1000, Cost: 1.5249\n",
+      " and the parameters are [-3.21039039  4.32087716] -5.696580753215862 ;\n",
+      "Epoch 900/1000, Cost: 4.0926\n",
+      " and the parameters are [-3.21044103  4.32089348] -5.696557096513311 ;\n",
+      "Epoch 900/1000, Cost: 1.6417\n",
+      " and the parameters are [-3.21043135  4.32094971] -5.696545280171522 ;\n",
+      "Epoch 900/1000, Cost: 1.8317\n",
+      " and the parameters are [-3.21047197  4.32086833] -5.696588815412661 ;\n",
+      "Epoch 900/1000, Cost: 1.3882\n",
+      " and the parameters are [-3.21045832  4.32093437] -5.696566720373179 ;\n",
+      "Epoch 900/1000, Cost: 0.8986\n",
+      " and the parameters are [-3.21046842  4.32095703] -5.696565959348102 ;\n",
+      "Epoch 900/1000, Cost: 3.8046\n",
+      " and the parameters are [-3.21043165  4.32096451] -5.696594516510355 ;\n",
+      "Epoch 900/1000, Cost: 4.6603\n",
+      " and the parameters are [-3.21046712  4.32093566] -5.696614167878801 ;\n",
+      "Epoch 900/1000, Cost: 1.7813\n",
+      " and the parameters are [-3.21044075  4.3210578 ] -5.696557044594368 ;\n",
+      "Epoch 900/1000, Cost: 4.4479\n",
+      " and the parameters are [-3.21042433  4.32124012] -5.696432913099931 ;\n",
+      "Epoch 900/1000, Cost: 1.6673\n",
+      " and the parameters are [-3.21042799  4.32128595] -5.6964202312369885 ;\n",
+      "Epoch 900/1000, Cost: 1.5158\n",
+      " and the parameters are [-3.21042596  4.32133911] -5.696410019432732 ;\n",
+      "Epoch 900/1000, Cost: 2.5406\n",
+      " and the parameters are [-3.21048864  4.32132965] -5.696400764258829 ;\n",
+      "Epoch 900/1000, Cost: 1.4929\n",
+      " and the parameters are [-3.21049906  4.32127225] -5.696451603767239 ;\n",
+      "Epoch 900/1000, Cost: 2.3620\n",
+      " and the parameters are [-3.21049683  4.32118709] -5.696541413419169 ;\n",
+      "Epoch 900/1000, Cost: 1.8203\n",
+      " and the parameters are [-3.21051885  4.32114665] -5.6965801733540165 ;\n",
+      "Epoch 900/1000, Cost: 3.8082\n",
+      " and the parameters are [-3.21052198  4.32115625] -5.696574291266086 ;\n",
+      "Epoch 900/1000, Cost: 6.2533\n",
+      " and the parameters are [-3.21052197  4.32104712] -5.696645434411354 ;\n",
+      "Epoch 900/1000, Cost: 3.6564\n",
+      " and the parameters are [-3.21048828  4.3210208 ] -5.696716317726008 ;\n",
+      "Epoch 900/1000, Cost: 2.7873\n",
+      " and the parameters are [-3.21043866  4.3211364 ] -5.6966716191795586 ;\n",
+      "Epoch 900/1000, Cost: 4.1875\n",
+      " and the parameters are [-3.21048712  4.32117666] -5.696609284087359 ;\n",
+      "Epoch 900/1000, Cost: 0.9279\n",
+      " and the parameters are [-3.21052459  4.32113319] -5.696639408008033 ;\n",
+      "Epoch 900/1000, Cost: 1.6409\n",
+      " and the parameters are [-3.21050291  4.32116314] -5.696652345034799 ;\n",
+      "Epoch 900/1000, Cost: 3.5051\n",
+      " and the parameters are [-3.21049611  4.32122145] -5.696630505171222 ;\n",
+      "Epoch 900/1000, Cost: 2.3993\n",
+      " and the parameters are [-3.21051257  4.3212084 ] -5.696661899125152 ;\n",
+      "Epoch 900/1000, Cost: 7.1884\n",
+      " and the parameters are [-3.21056005  4.32133024] -5.69652962365129 ;\n",
+      "Epoch 900/1000, Cost: 2.5690\n",
+      " and the parameters are [-3.21064503  4.32121818] -5.696580905904151 ;\n",
+      "Epoch 900/1000, Cost: 6.6220\n",
+      " and the parameters are [-3.21062849  4.32131924] -5.696521411348794 ;\n",
+      "Epoch 900/1000, Cost: 1.7221\n",
+      " and the parameters are [-3.21062863  4.32140998] -5.696472323798278 ;\n",
+      "Epoch 900/1000, Cost: 9.7065\n",
+      " and the parameters are [-3.2107353  4.3212227] -5.6965189760939765 ;\n",
+      "Epoch 900/1000, Cost: 3.8284\n",
+      " and the parameters are [-3.21075293  4.32140088] -5.696395225042035 ;\n",
+      "Epoch 900/1000, Cost: 1.8614\n",
+      " and the parameters are [-3.21080064  4.321438  ] -5.696371634854618 ;\n",
+      "Epoch 900/1000, Cost: 3.6859\n",
+      " and the parameters are [-3.21075368  4.32143809] -5.696410484884492 ;\n",
+      "Epoch 900/1000, Cost: 2.0973\n",
+      " and the parameters are [-3.2107212   4.32147369] -5.696424003096137 ;\n",
+      "Epoch 900/1000, Cost: 3.6303\n",
+      " and the parameters are [-3.21076789  4.32129966] -5.6965362902949614 ;\n",
+      "Epoch 900/1000, Cost: 1.1157\n",
+      " and the parameters are [-3.2107328   4.32135592] -5.696529037769274 ;\n",
+      "Epoch 900/1000, Cost: 3.3722\n",
+      " and the parameters are [-3.21076909  4.3213307 ] -5.696536716652233 ;\n",
+      "Epoch 900/1000, Cost: 5.3594\n",
+      " and the parameters are [-3.21079545  4.32136934] -5.696494383615304 ;\n",
+      "Epoch 900/1000, Cost: 5.4799\n",
+      " and the parameters are [-3.21065535  4.32149096] -5.696477666407807 ;\n",
+      "Epoch 900/1000, Cost: 1.3132\n",
+      " and the parameters are [-3.21064642  4.32148592] -5.6965051136173175 ;\n",
+      "Epoch 900/1000, Cost: 4.7677\n",
+      " and the parameters are [-3.21068079  4.32136488] -5.696575023287851 ;\n",
+      "Epoch 900/1000, Cost: 4.5243\n",
+      " and the parameters are [-3.21069484  4.32133364] -5.696590040459516 ;\n",
+      "Epoch 900/1000, Cost: 3.3748\n",
+      " and the parameters are [-3.21071695  4.32125107] -5.696647040799975 ;\n",
+      "Epoch 900/1000, Cost: 3.6798\n",
+      " and the parameters are [-3.21080714  4.32110715] -5.6967275463983515 ;\n",
+      "Epoch 900/1000, Cost: 2.2692\n",
+      " and the parameters are [-3.21083063  4.32106115] -5.696770948140973 ;\n",
+      "Epoch 900/1000, Cost: 3.9661\n",
+      " and the parameters are [-3.21085762  4.32112827] -5.6967232729956025 ;\n",
+      "Epoch 900/1000, Cost: 1.9238\n",
+      " and the parameters are [-3.21091023  4.32107317] -5.696759271415803 ;\n",
+      "Epoch 900/1000, Cost: 2.2925\n",
+      " and the parameters are [-3.21091805  4.32110415] -5.696749383614188 ;\n",
+      "Epoch 900/1000, Cost: 2.2712\n",
+      " and the parameters are [-3.21094172  4.32118028] -5.696702554674893 ;\n",
+      "Epoch 900/1000, Cost: 2.0353\n",
+      " and the parameters are [-3.21090507  4.32131042] -5.6966604035927695 ;\n",
+      "Epoch 900/1000, Cost: 3.2322\n",
+      " and the parameters are [-3.2109276   4.32143734] -5.696568688087336 ;\n",
+      "Epoch 900/1000, Cost: 6.1407\n",
+      " and the parameters are [-3.21090417  4.32147701] -5.6965442845496 ;\n",
+      "Epoch 900/1000, Cost: 3.0434\n",
+      " and the parameters are [-3.21091467  4.32148779] -5.696556505200134 ;\n",
+      "Epoch 900/1000, Cost: 2.5959\n",
+      " and the parameters are [-3.21094769  4.32140818] -5.696607973740353 ;\n",
+      "Epoch 900/1000, Cost: 1.8140\n",
+      " and the parameters are [-3.21094589  4.32141322] -5.696632132125713 ;\n",
+      "Epoch 900/1000, Cost: 2.4133\n",
+      " and the parameters are [-3.21087155  4.32152424] -5.696612394512653 ;\n",
+      "Epoch 900/1000, Cost: 6.9696\n",
+      " and the parameters are [-3.21086135  4.3215434 ] -5.696600974606397 ;\n",
+      "Epoch 900/1000, Cost: 4.7530\n",
+      " and the parameters are [-3.21085155  4.32157138] -5.696572129785734 ;\n",
+      "Epoch 900/1000, Cost: 1.7680\n",
+      " and the parameters are [-3.21083577  4.32152094] -5.696632136912103 ;\n",
+      "Epoch 900/1000, Cost: 2.5114\n",
+      " and the parameters are [-3.21081718  4.32158672] -5.696614436974985 ;\n",
+      "Epoch 900/1000, Cost: 1.8864\n",
+      " and the parameters are [-3.21083366  4.3216742 ] -5.6965608833262324 ;\n",
+      "Epoch 900/1000, Cost: 7.2936\n",
+      " and the parameters are [-3.21084259  4.32169905] -5.696520015422805 ;\n",
+      "Epoch 900/1000, Cost: 2.2922\n",
+      " and the parameters are [-3.2108153  4.3217939] -5.696480706384931 ;\n",
+      "Epoch 900/1000, Cost: 4.9331\n",
+      " and the parameters are [-3.21079844  4.32164948] -5.69660668207146 ;\n",
+      "Epoch 900/1000, Cost: 2.6616\n",
+      " and the parameters are [-3.21085213  4.32167377] -5.696577760579777 ;\n",
+      "Epoch 900/1000, Cost: 2.6138\n",
+      " and the parameters are [-3.21082209  4.32172129] -5.696570309529157 ;\n",
+      "Epoch 900/1000, Cost: 4.6462\n",
+      " and the parameters are [-3.21086319  4.32168529] -5.6965895418847285 ;\n",
+      "Epoch 900/1000, Cost: 2.8147\n",
+      " and the parameters are [-3.21088856  4.32160588] -5.696646587185823 ;\n",
+      "Epoch 900/1000, Cost: 2.1297\n",
+      " and the parameters are [-3.21088452  4.32164594] -5.696649183631638 ;\n",
+      "Epoch 900/1000, Cost: 5.9078\n",
+      " and the parameters are [-3.2108276   4.32156721] -5.696728121458109 ;\n",
+      "Epoch 900/1000, Cost: 7.4840\n",
+      " and the parameters are [-3.21082302  4.32165896] -5.696626287498788 ;\n",
+      "Epoch 900/1000, Cost: 1.6378\n",
+      " and the parameters are [-3.2107659   4.32175217] -5.696612853503504 ;\n",
+      "Epoch 900/1000, Cost: 4.0280\n",
+      " and the parameters are [-3.21078167  4.32186895] -5.696523495858754 ;\n",
+      "Epoch 900/1000, Cost: 4.0791\n",
+      " and the parameters are [-3.21075483  4.32193496] -5.696514689891257 ;\n",
+      "Epoch 900/1000, Cost: 5.2117\n",
+      " and the parameters are [-3.21082822  4.32181481] -5.696570422467054 ;\n",
+      "Epoch 900/1000, Cost: 2.1065\n",
+      " and the parameters are [-3.21085807  4.32181569] -5.696575747081701 ;\n",
+      "Epoch 900/1000, Cost: 1.9149\n",
+      " and the parameters are [-3.21086863  4.3218103 ] -5.696600676192061 ;\n",
+      "Epoch 900/1000, Cost: 0.8928\n",
+      " and the parameters are [-3.21087067  4.3217833 ] -5.696635472825048 ;\n",
+      "Epoch 900/1000, Cost: 4.4544\n",
+      " and the parameters are [-3.21089083  4.32167857] -5.696697533722185 ;\n",
+      "Epoch 900/1000, Cost: 2.3964\n",
+      " and the parameters are [-3.21088623  4.32178654] -5.696637212935144 ;\n",
+      "Epoch 900/1000, Cost: 5.1698\n",
+      " and the parameters are [-3.21094126  4.32163497] -5.696728410233125 ;\n",
+      "Epoch 900/1000, Cost: 2.3829\n",
+      " and the parameters are [-3.21098039  4.32168098] -5.696703873631659 ;\n",
+      "Epoch 900/1000, Cost: 3.4777\n",
+      " and the parameters are [-3.21094615  4.32171845] -5.696706937559007 ;\n",
+      "Epoch 900/1000, Cost: 4.0245\n",
+      " and the parameters are [-3.21095408  4.32176589] -5.696691464450213 ;\n",
+      "Epoch 900/1000, Cost: 7.4408\n",
+      " and the parameters are [-3.21089674  4.32181506] -5.696662674763152 ;\n",
+      "Epoch 900/1000, Cost: 4.9278\n",
+      " and the parameters are [-3.21084463  4.32181134] -5.6966854727726055 ;\n",
+      "Epoch 900/1000, Cost: 6.2057\n",
+      " and the parameters are [-3.2109448  4.3216253] -5.696758385159976 ;\n",
+      "Epoch 900/1000, Cost: 3.2268\n",
+      " and the parameters are [-3.21085539  4.32167735] -5.696773169134558 ;\n",
+      "Epoch 900/1000, Cost: 5.2053\n",
+      " and the parameters are [-3.21087988  4.32155051] -5.696845542918889 ;\n",
+      "Epoch 900/1000, Cost: 2.3804\n",
+      " and the parameters are [-3.21087651  4.32161036] -5.696822008628186 ;\n",
+      "Epoch 900/1000, Cost: 3.2978\n",
+      " and the parameters are [-3.210956    4.32146018] -5.696888499199954 ;\n",
+      "Epoch 900/1000, Cost: 2.1207\n",
+      " and the parameters are [-3.21097814  4.32139783] -5.696945631730166 ;\n",
+      "Epoch 900/1000, Cost: 3.4098\n",
+      " and the parameters are [-3.21094886  4.32141731] -5.696968198292936 ;\n",
+      "Epoch 900/1000, Cost: 1.9424\n",
+      " and the parameters are [-3.2109711   4.32146899] -5.696939019468919 ;\n",
+      "Epoch 900/1000, Cost: 1.4704\n",
+      " and the parameters are [-3.21100032  4.3214775 ] -5.696939708121022 ;\n",
+      "Epoch 900/1000, Cost: 2.0849\n",
+      " and the parameters are [-3.21103114  4.32151289] -5.696928211036778 ;\n",
+      "Epoch 900/1000, Cost: 3.7588\n",
+      " and the parameters are [-3.21105087  4.32157514] -5.696874892321343 ;\n",
+      "Epoch 900/1000, Cost: 2.6938\n",
+      " and the parameters are [-3.21105412  4.3215239 ] -5.69693107904076 ;\n",
+      "Epoch 900/1000, Cost: 1.9424\n",
+      " and the parameters are [-3.2110605   4.32161888] -5.696875691066099 ;\n",
+      "Epoch 900/1000, Cost: 5.0363\n",
+      " and the parameters are [-3.21119876  4.32140374] -5.696975214232217 ;\n",
+      "Epoch 900/1000, Cost: 1.7288\n",
+      " and the parameters are [-3.21117054  4.32143786] -5.696993120725871 ;\n",
+      "Epoch 900/1000, Cost: 1.8358\n",
+      " and the parameters are [-3.21114594  4.32143389] -5.697030178020752 ;\n",
+      "Epoch 900/1000, Cost: 0.5616\n",
+      " and the parameters are [-3.21114298  4.32146547] -5.6970229750669406 ;\n",
+      "Epoch 900/1000, Cost: 1.3978\n",
+      " and the parameters are [-3.21111986  4.32155789] -5.696983355120883 ;\n",
+      "Epoch 900/1000, Cost: 1.8293\n",
+      " and the parameters are [-3.21115519  4.32150322] -5.697018102047705 ;\n",
+      "Epoch 900/1000, Cost: 4.3297\n",
+      " and the parameters are [-3.21116285  4.32155435] -5.696983535246786 ;\n",
+      "Epoch 900/1000, Cost: 2.5611\n",
+      " and the parameters are [-3.21111745  4.3215641 ] -5.697018391068695 ;\n",
+      "Epoch 900/1000, Cost: 4.0621\n",
+      " and the parameters are [-3.21114629  4.32153093] -5.6970235365548865 ;\n",
+      "Epoch 910/1000, Cost: 0.7995\n",
+      " and the parameters are [-3.21914928  4.33151452] -5.711300686694608 ;\n",
+      "Epoch 910/1000, Cost: 5.9682\n",
+      " and the parameters are [-3.21913388  4.33150107] -5.7113124035320775 ;\n",
+      "Epoch 910/1000, Cost: 3.0143\n",
+      " and the parameters are [-3.21917402  4.33159498] -5.711242414127457 ;\n",
+      "Epoch 910/1000, Cost: 3.3777\n",
+      " and the parameters are [-3.21918474  4.3316279 ] -5.711227514004185 ;\n",
+      "Epoch 910/1000, Cost: 1.1919\n",
+      " and the parameters are [-3.21918645  4.3316085 ] -5.711261736994015 ;\n",
+      "Epoch 910/1000, Cost: 6.8130\n",
+      " and the parameters are [-3.2191455   4.33157739] -5.711284474613944 ;\n",
+      "Epoch 910/1000, Cost: 3.2841\n",
+      " and the parameters are [-3.21920689  4.33155546] -5.711278688598996 ;\n",
+      "Epoch 910/1000, Cost: 2.8974\n",
+      " and the parameters are [-3.21915125  4.33169517] -5.71122526914901 ;\n",
+      "Epoch 910/1000, Cost: 4.9803\n",
+      " and the parameters are [-3.21910702  4.33165748] -5.711270139704134 ;\n",
+      "Epoch 910/1000, Cost: 3.5414\n",
+      " and the parameters are [-3.2190547  4.3317306] -5.711256295843826 ;\n",
+      "Epoch 910/1000, Cost: 2.4069\n",
+      " and the parameters are [-3.21908394  4.33169931] -5.711284862220135 ;\n",
+      "Epoch 910/1000, Cost: 5.5757\n",
+      " and the parameters are [-3.21917852  4.33158701] -5.711308849463622 ;\n",
+      "Epoch 910/1000, Cost: 2.8170\n",
+      " and the parameters are [-3.21917885  4.33153654] -5.711363011070687 ;\n",
+      "Epoch 910/1000, Cost: 1.5229\n",
+      " and the parameters are [-3.21915094  4.33157077] -5.711376895919891 ;\n",
+      "Epoch 910/1000, Cost: 3.7950\n",
+      " and the parameters are [-3.2192101   4.33160658] -5.711322111871127 ;\n",
+      "Epoch 910/1000, Cost: 2.4829\n",
+      " and the parameters are [-3.21920831  4.33166768] -5.711291731776382 ;\n",
+      "Epoch 910/1000, Cost: 2.2946\n",
+      " and the parameters are [-3.21916275  4.33180237] -5.711239756288253 ;\n",
+      "Epoch 910/1000, Cost: 2.4110\n",
+      " and the parameters are [-3.21919782  4.33178086] -5.711262732982095 ;\n",
+      "Epoch 910/1000, Cost: 1.4591\n",
+      " and the parameters are [-3.21930659  4.33168785] -5.71128805507138 ;\n",
+      "Epoch 910/1000, Cost: 1.2380\n",
+      " and the parameters are [-3.21930054  4.33170892] -5.711297593867258 ;\n",
+      "Epoch 910/1000, Cost: 3.1981\n",
+      " and the parameters are [-3.21931729  4.33163482] -5.71136417368079 ;\n",
+      "Epoch 910/1000, Cost: 1.3359\n",
+      " and the parameters are [-3.21929895  4.3316855 ] -5.711355839020251 ;\n",
+      "Epoch 910/1000, Cost: 0.7749\n",
+      " and the parameters are [-3.21930275  4.3317056 ] -5.7113573163012505 ;\n",
+      "Epoch 910/1000, Cost: 2.8560\n",
+      " and the parameters are [-3.21933372  4.33157316] -5.711458645737143 ;\n",
+      "Epoch 910/1000, Cost: 1.5274\n",
+      " and the parameters are [-3.2193425   4.33161451] -5.711450659592045 ;\n",
+      "Epoch 910/1000, Cost: 2.4369\n",
+      " and the parameters are [-3.2193493   4.33165023] -5.71144184751459 ;\n",
+      "Epoch 910/1000, Cost: 1.4507\n",
+      " and the parameters are [-3.21935045  4.33167328] -5.711441149352497 ;\n",
+      "Epoch 910/1000, Cost: 1.2471\n",
+      " and the parameters are [-3.21935671  4.33168131] -5.711457010049036 ;\n",
+      "Epoch 910/1000, Cost: 3.1137\n",
+      " and the parameters are [-3.21934093  4.33167479] -5.7114940266755365 ;\n",
+      "Epoch 910/1000, Cost: 1.7315\n",
+      " and the parameters are [-3.21937967  4.33165293] -5.711508807155736 ;\n",
+      "Epoch 910/1000, Cost: 1.9601\n",
+      " and the parameters are [-3.21935994  4.33170392] -5.711497662409291 ;\n",
+      "Epoch 910/1000, Cost: 1.9401\n",
+      " and the parameters are [-3.21934701  4.33169911] -5.7115319515060285 ;\n",
+      "Epoch 910/1000, Cost: 2.0964\n",
+      " and the parameters are [-3.21933721  4.33180916] -5.711477625772983 ;\n",
+      "Epoch 910/1000, Cost: 1.4740\n",
+      " and the parameters are [-3.21934343  4.33186304] -5.711462351776329 ;\n",
+      "Epoch 910/1000, Cost: 1.5356\n",
+      " and the parameters are [-3.21935814  4.33182412] -5.711507102042185 ;\n",
+      "Epoch 910/1000, Cost: 0.7901\n",
+      " and the parameters are [-3.21935581  4.33182526] -5.711525698859675 ;\n",
+      "Epoch 910/1000, Cost: 4.1598\n",
+      " and the parameters are [-3.21934007  4.33187637] -5.711507177516019 ;\n",
+      "Epoch 910/1000, Cost: 5.9732\n",
+      " and the parameters are [-3.21933658  4.33185904] -5.711510138608785 ;\n",
+      "Epoch 910/1000, Cost: 7.5792\n",
+      " and the parameters are [-3.21924471  4.33194434] -5.711465950769508 ;\n",
+      "Epoch 910/1000, Cost: 1.7474\n",
+      " and the parameters are [-3.21921999  4.33198001] -5.711476896362346 ;\n",
+      "Epoch 910/1000, Cost: 1.6149\n",
+      " and the parameters are [-3.2192377   4.33203616] -5.711450483026496 ;\n",
+      "Epoch 910/1000, Cost: 4.1878\n",
+      " and the parameters are [-3.21923953  4.33204304] -5.7114644358288365 ;\n",
+      "Epoch 910/1000, Cost: 1.3791\n",
+      " and the parameters are [-3.21926793  4.33201423] -5.711494693718733 ;\n",
+      "Epoch 910/1000, Cost: 4.9877\n",
+      " and the parameters are [-3.2192451   4.33213478] -5.711428417788358 ;\n",
+      "Epoch 910/1000, Cost: 3.3443\n",
+      " and the parameters are [-3.21925717  4.33218466] -5.71139990767991 ;\n",
+      "Epoch 910/1000, Cost: 4.6584\n",
+      " and the parameters are [-3.21926838  4.33210165] -5.711452338858134 ;\n",
+      "Epoch 910/1000, Cost: 2.5572\n",
+      " and the parameters are [-3.21928217  4.3321765 ] -5.711412044946709 ;\n",
+      "Epoch 910/1000, Cost: 2.4083\n",
+      " and the parameters are [-3.21930455  4.3321381 ] -5.711433146736757 ;\n",
+      "Epoch 910/1000, Cost: 3.2465\n",
+      " and the parameters are [-3.2192619   4.33204628] -5.711530655200582 ;\n",
+      "Epoch 910/1000, Cost: 1.0825\n",
+      " and the parameters are [-3.21925965  4.33207304] -5.711527786766404 ;\n",
+      "Epoch 910/1000, Cost: 3.4223\n",
+      " and the parameters are [-3.21927561  4.33212348] -5.711477654299638 ;\n",
+      "Epoch 910/1000, Cost: 3.0708\n",
+      " and the parameters are [-3.21925965  4.33214504] -5.711492445103461 ;\n",
+      "Epoch 910/1000, Cost: 2.9036\n",
+      " and the parameters are [-3.21926064  4.33214042] -5.711512433403302 ;\n",
+      "Epoch 910/1000, Cost: 2.2701\n",
+      " and the parameters are [-3.21919917  4.33212853] -5.711570034578282 ;\n",
+      "Epoch 910/1000, Cost: 4.7574\n",
+      " and the parameters are [-3.21934364  4.33199626] -5.711594339561145 ;\n",
+      "Epoch 910/1000, Cost: 2.3174\n",
+      " and the parameters are [-3.21938534  4.33198706] -5.711600055801248 ;\n",
+      "Epoch 910/1000, Cost: 3.2386\n",
+      " and the parameters are [-3.2193643   4.33204378] -5.7115684668266065 ;\n",
+      "Epoch 910/1000, Cost: 1.6901\n",
+      " and the parameters are [-3.21933894  4.33209866] -5.711563409022176 ;\n",
+      "Epoch 910/1000, Cost: 1.7737\n",
+      " and the parameters are [-3.21932315  4.3320924 ] -5.71159211186914 ;\n",
+      "Epoch 910/1000, Cost: 1.8283\n",
+      " and the parameters are [-3.2193635   4.33207892] -5.711605613710647 ;\n",
+      "Epoch 910/1000, Cost: 3.9912\n",
+      " and the parameters are [-3.21944849  4.33194747] -5.711668326079419 ;\n",
+      "Epoch 910/1000, Cost: 0.7174\n",
+      " and the parameters are [-3.21943091  4.33196555] -5.71168386226848 ;\n",
+      "Epoch 910/1000, Cost: 1.1835\n",
+      " and the parameters are [-3.21943273  4.33202824] -5.711661494897045 ;\n",
+      "Epoch 910/1000, Cost: 2.6262\n",
+      " and the parameters are [-3.2194756   4.33202767] -5.711661614900781 ;\n",
+      "Epoch 910/1000, Cost: 3.9713\n",
+      " and the parameters are [-3.21957916  4.33183396] -5.711750484000247 ;\n",
+      "Epoch 910/1000, Cost: 1.5387\n",
+      " and the parameters are [-3.21957469  4.33188767] -5.7117367755508655 ;\n",
+      "Epoch 910/1000, Cost: 2.4955\n",
+      " and the parameters are [-3.21956565  4.33188304] -5.711770225079235 ;\n",
+      "Epoch 910/1000, Cost: 5.5460\n",
+      " and the parameters are [-3.21955524  4.33195073] -5.711733904863415 ;\n",
+      "Epoch 910/1000, Cost: 4.6028\n",
+      " and the parameters are [-3.21957477  4.33204305] -5.711668693033418 ;\n",
+      "Epoch 910/1000, Cost: 3.5816\n",
+      " and the parameters are [-3.21957885  4.3321273 ] -5.711608043037735 ;\n",
+      "Epoch 910/1000, Cost: 1.6700\n",
+      " and the parameters are [-3.2195382   4.33215067] -5.711631731697329 ;\n",
+      "Epoch 910/1000, Cost: 8.7759\n",
+      " and the parameters are [-3.21952042  4.33218255] -5.711582040585081 ;\n",
+      "Epoch 910/1000, Cost: 1.6226\n",
+      " and the parameters are [-3.2195041   4.33226333] -5.71154986553997 ;\n",
+      "Epoch 910/1000, Cost: 2.0104\n",
+      " and the parameters are [-3.21952242  4.33223911] -5.711574729422752 ;\n",
+      "Epoch 910/1000, Cost: 5.9727\n",
+      " and the parameters are [-3.21949542  4.33210433] -5.711682404677574 ;\n",
+      "Epoch 910/1000, Cost: 2.2439\n",
+      " and the parameters are [-3.21949439  4.33218925] -5.711644766653874 ;\n",
+      "Epoch 910/1000, Cost: 2.7021\n",
+      " and the parameters are [-3.21945612  4.33221674] -5.711652662217872 ;\n",
+      "Epoch 910/1000, Cost: 8.5606\n",
+      " and the parameters are [-3.21943652  4.33212501] -5.711713363774009 ;\n",
+      "Epoch 910/1000, Cost: 3.0784\n",
+      " and the parameters are [-3.21947752  4.33209055] -5.71173631805475 ;\n",
+      "Epoch 910/1000, Cost: 3.1566\n",
+      " and the parameters are [-3.21951356  4.33210129] -5.7117318037094424 ;\n",
+      "Epoch 910/1000, Cost: 4.4820\n",
+      " and the parameters are [-3.21939525  4.33217474] -5.7117600488067986 ;\n",
+      "Epoch 910/1000, Cost: 3.3109\n",
+      " and the parameters are [-3.21938431  4.33213074] -5.711816985655131 ;\n",
+      "Epoch 910/1000, Cost: 2.9930\n",
+      " and the parameters are [-3.21934795  4.33226126] -5.711747253104405 ;\n",
+      "Epoch 910/1000, Cost: 1.9028\n",
+      " and the parameters are [-3.21941196  4.3322166 ] -5.711769176939107 ;\n",
+      "Epoch 910/1000, Cost: 2.5569\n",
+      " and the parameters are [-3.21935033  4.33230091] -5.711770880749129 ;\n",
+      "Epoch 910/1000, Cost: 3.9446\n",
+      " and the parameters are [-3.21944288  4.33220053] -5.711812332268894 ;\n",
+      "Epoch 910/1000, Cost: 0.8936\n",
+      " and the parameters are [-3.21945689  4.33225493] -5.711783113631462 ;\n",
+      "Epoch 910/1000, Cost: 1.8239\n",
+      " and the parameters are [-3.21945892  4.33233505] -5.7117502697082365 ;\n",
+      "Epoch 910/1000, Cost: 1.6607\n",
+      " and the parameters are [-3.21945729  4.33232728] -5.711781507401384 ;\n",
+      "Epoch 910/1000, Cost: 1.5223\n",
+      " and the parameters are [-3.21943974  4.33236815] -5.71178314996985 ;\n",
+      "Epoch 910/1000, Cost: 4.3061\n",
+      " and the parameters are [-3.21944121  4.33226623] -5.711862666915767 ;\n",
+      "Epoch 910/1000, Cost: 1.4367\n",
+      " and the parameters are [-3.21939863  4.33234225] -5.711845384369099 ;\n",
+      "Epoch 910/1000, Cost: 4.1051\n",
+      " and the parameters are [-3.21933146  4.33237496] -5.711849101080246 ;\n",
+      "Epoch 910/1000, Cost: 2.1389\n",
+      " and the parameters are [-3.21927998  4.33247905] -5.711810539051237 ;\n",
+      "Epoch 910/1000, Cost: 1.7068\n",
+      " and the parameters are [-3.21930181  4.33243346] -5.711852184987016 ;\n",
+      "Epoch 910/1000, Cost: 1.7903\n",
+      " and the parameters are [-3.21930352  4.33241263] -5.711893808330091 ;\n",
+      "Epoch 910/1000, Cost: 1.5974\n",
+      " and the parameters are [-3.21933548  4.33240539] -5.711900762768369 ;\n",
+      "Epoch 910/1000, Cost: 1.4612\n",
+      " and the parameters are [-3.2193656   4.33241734] -5.711902259629076 ;\n",
+      "Epoch 910/1000, Cost: 5.5581\n",
+      " and the parameters are [-3.21938677  4.33245892] -5.7118523967283865 ;\n",
+      "Epoch 910/1000, Cost: 2.1478\n",
+      " and the parameters are [-3.21936887  4.33252457] -5.711835034866912 ;\n",
+      "Epoch 910/1000, Cost: 2.3121\n",
+      " and the parameters are [-3.21938272  4.33257522] -5.711820527067672 ;\n",
+      "Epoch 910/1000, Cost: 1.3491\n",
+      " and the parameters are [-3.21936209  4.33266207] -5.711789485469693 ;\n",
+      "Epoch 910/1000, Cost: 1.8558\n",
+      " and the parameters are [-3.21935662  4.33276062] -5.711740353139418 ;\n",
+      "Epoch 910/1000, Cost: 6.3136\n",
+      " and the parameters are [-3.21939536  4.33266969] -5.71180812410649 ;\n",
+      "Epoch 910/1000, Cost: 5.5673\n",
+      " and the parameters are [-3.21946484  4.33269782] -5.711749065476207 ;\n",
+      "Epoch 910/1000, Cost: 0.7732\n",
+      " and the parameters are [-3.21943444  4.33273145] -5.711757860891774 ;\n",
+      "Epoch 910/1000, Cost: 2.3819\n",
+      " and the parameters are [-3.21942197  4.33277283] -5.711750153218372 ;\n",
+      "Epoch 910/1000, Cost: 3.7926\n",
+      " and the parameters are [-3.21939598  4.33275142] -5.711798210334005 ;\n",
+      "Epoch 910/1000, Cost: 2.4440\n",
+      " and the parameters are [-3.21937793  4.33281405] -5.711776090248424 ;\n",
+      "Epoch 910/1000, Cost: 0.9404\n",
+      " and the parameters are [-3.21937646  4.33282057] -5.711791654499386 ;\n",
+      "Epoch 910/1000, Cost: 2.8845\n",
+      " and the parameters are [-3.21941551  4.33273639] -5.711851084411703 ;\n",
+      "Epoch 910/1000, Cost: 3.3268\n",
+      " and the parameters are [-3.21948369  4.33266939] -5.711875357086711 ;\n",
+      "Epoch 910/1000, Cost: 3.6490\n",
+      " and the parameters are [-3.21950251  4.33261444] -5.7119332146845085 ;\n",
+      "Epoch 910/1000, Cost: 5.3308\n",
+      " and the parameters are [-3.21953466  4.33249702] -5.711998707597202 ;\n",
+      "Epoch 910/1000, Cost: 2.8922\n",
+      " and the parameters are [-3.21961682  4.33249059] -5.711982356731635 ;\n",
+      "Epoch 910/1000, Cost: 6.1785\n",
+      " and the parameters are [-3.21952812  4.3323736 ] -5.712112597876449 ;\n",
+      "Epoch 910/1000, Cost: 2.5472\n",
+      " and the parameters are [-3.21952281  4.33240041] -5.712123028486106 ;\n",
+      "Epoch 910/1000, Cost: 1.4879\n",
+      " and the parameters are [-3.21955184  4.33234457] -5.712171323100231 ;\n",
+      "Epoch 910/1000, Cost: 5.6275\n",
+      " and the parameters are [-3.2194872   4.33246956] -5.712105441517073 ;\n",
+      "Epoch 910/1000, Cost: 1.0049\n",
+      " and the parameters are [-3.21953659  4.33245566] -5.712106756397356 ;\n",
+      "Epoch 910/1000, Cost: 1.6251\n",
+      " and the parameters are [-3.21950098  4.33251113] -5.7121123633310384 ;\n",
+      "Epoch 910/1000, Cost: 2.6805\n",
+      " and the parameters are [-3.21950692  4.33244741] -5.712166136722992 ;\n",
+      "Epoch 910/1000, Cost: 2.4229\n",
+      " and the parameters are [-3.21947802  4.3324019 ] -5.712239440619461 ;\n",
+      "Epoch 910/1000, Cost: 7.0387\n",
+      " and the parameters are [-3.21945255  4.33248135] -5.712199403790415 ;\n",
+      "Epoch 910/1000, Cost: 1.7527\n",
+      " and the parameters are [-3.21944019  4.33248626] -5.712229016118676 ;\n",
+      "Epoch 910/1000, Cost: 4.9837\n",
+      " and the parameters are [-3.21931807  4.33243967] -5.7123242110682595 ;\n",
+      "Epoch 910/1000, Cost: 7.0440\n",
+      " and the parameters are [-3.21943033  4.3322125 ] -5.712429685291378 ;\n",
+      "Epoch 910/1000, Cost: 1.9584\n",
+      " and the parameters are [-3.21943073  4.33221626] -5.712444926405857 ;\n",
+      "Epoch 910/1000, Cost: 1.9214\n",
+      " and the parameters are [-3.21937089  4.33231312] -5.712413802840675 ;\n",
+      "Epoch 910/1000, Cost: 1.4461\n",
+      " and the parameters are [-3.21938808  4.33231938] -5.712427423417583 ;\n",
+      "Epoch 910/1000, Cost: 4.5287\n",
+      " and the parameters are [-3.21945453  4.33237144] -5.712367794077365 ;\n",
+      "Epoch 910/1000, Cost: 4.7460\n",
+      " and the parameters are [-3.21956261  4.33218263] -5.712448737739259 ;\n",
+      "Epoch 910/1000, Cost: 1.2836\n",
+      " and the parameters are [-3.2195663   4.33216812] -5.712481360879254 ;\n",
+      "Epoch 910/1000, Cost: 4.6872\n",
+      " and the parameters are [-3.21952271  4.33207776] -5.712572095608696 ;\n",
+      "Epoch 910/1000, Cost: 0.6279\n",
+      " and the parameters are [-3.21951562  4.33208429] -5.712588631041555 ;\n",
+      "Epoch 910/1000, Cost: 2.3614\n",
+      " and the parameters are [-3.21960571  4.33199061] -5.712624981270133 ;\n",
+      "Epoch 910/1000, Cost: 2.5648\n",
+      " and the parameters are [-3.2196146  4.3319913] -5.71264334587961 ;\n",
+      "Epoch 910/1000, Cost: 7.2671\n",
+      " and the parameters are [-3.21961585  4.33196011] -5.712653438054071 ;\n",
+      "Epoch 910/1000, Cost: 2.9034\n",
+      " and the parameters are [-3.21958855  4.33202877] -5.712633962686645 ;\n",
+      "Epoch 910/1000, Cost: 5.0910\n",
+      " and the parameters are [-3.21958306  4.33196645] -5.712670753446514 ;\n",
+      "Epoch 910/1000, Cost: 2.6126\n",
+      " and the parameters are [-3.21949535  4.33204244] -5.712679719304905 ;\n",
+      "Epoch 910/1000, Cost: 1.8402\n",
+      " and the parameters are [-3.21947223  4.33213065] -5.712647556613408 ;\n",
+      "Epoch 910/1000, Cost: 4.1398\n",
+      " and the parameters are [-3.21944819  4.33212432] -5.712683532054165 ;\n",
+      "Epoch 910/1000, Cost: 2.9733\n",
+      " and the parameters are [-3.219454    4.33210684] -5.712699765212445 ;\n",
+      "Epoch 910/1000, Cost: 2.0040\n",
+      " and the parameters are [-3.21946992  4.33215726] -5.712677391725528 ;\n",
+      "Epoch 910/1000, Cost: 1.9144\n",
+      " and the parameters are [-3.21946822  4.33217955] -5.712675174661992 ;\n",
+      "Epoch 910/1000, Cost: 1.9149\n",
+      " and the parameters are [-3.21943976  4.33226985] -5.7126412578342185 ;\n",
+      "Epoch 910/1000, Cost: 1.6270\n",
+      " and the parameters are [-3.21936869  4.33236102] -5.712629821701951 ;\n",
+      "Epoch 910/1000, Cost: 0.9896\n",
+      " and the parameters are [-3.21937718  4.33240081] -5.712617274333027 ;\n",
+      "Epoch 910/1000, Cost: 5.9556\n",
+      " and the parameters are [-3.21945604  4.33234532] -5.712606710197829 ;\n",
+      "Epoch 910/1000, Cost: 8.1379\n",
+      " and the parameters are [-3.21954276  4.33237295] -5.7125212060913 ;\n",
+      "Epoch 910/1000, Cost: 3.4849\n",
+      " and the parameters are [-3.21955393  4.3324292 ] -5.712493877951097 ;\n",
+      "Epoch 910/1000, Cost: 0.9073\n",
+      " and the parameters are [-3.21955109  4.33247973] -5.712478933588588 ;\n",
+      "Epoch 910/1000, Cost: 1.8489\n",
+      " and the parameters are [-3.21957889  4.33254161] -5.71244239734905 ;\n",
+      "Epoch 910/1000, Cost: 5.3398\n",
+      " and the parameters are [-3.21956275  4.33262146] -5.71239303425032 ;\n",
+      "Epoch 910/1000, Cost: 1.6743\n",
+      " and the parameters are [-3.21958274  4.3326351 ] -5.7123983476596365 ;\n",
+      "Epoch 910/1000, Cost: 2.0647\n",
+      " and the parameters are [-3.21962666  4.33260346] -5.71242244147511 ;\n",
+      "Epoch 910/1000, Cost: 2.6046\n",
+      " and the parameters are [-3.21961245  4.33263717] -5.712431438291138 ;\n",
+      "Epoch 910/1000, Cost: 3.1496\n",
+      " and the parameters are [-3.21957297  4.33263063] -5.7124719232112495 ;\n",
+      "Epoch 910/1000, Cost: 1.7776\n",
+      " and the parameters are [-3.21961894  4.33258642] -5.712499698845629 ;\n",
+      "Epoch 910/1000, Cost: 2.7207\n",
+      " and the parameters are [-3.21953738  4.33256212] -5.712578537836243 ;\n",
+      "Epoch 910/1000, Cost: 2.6508\n",
+      " and the parameters are [-3.2195245   4.33254792] -5.712627780256053 ;\n",
+      "Epoch 910/1000, Cost: 0.8286\n",
+      " and the parameters are [-3.21954252  4.33254186] -5.712642140590723 ;\n",
+      "Epoch 910/1000, Cost: 1.4116\n",
+      " and the parameters are [-3.21954807  4.33253372] -5.712665049301169 ;\n",
+      "Epoch 910/1000, Cost: 2.2930\n",
+      " and the parameters are [-3.21957721  4.33252127] -5.712686220407367 ;\n",
+      "Epoch 910/1000, Cost: 2.7009\n",
+      " and the parameters are [-3.21953032  4.33248753] -5.71276291989453 ;\n",
+      "Epoch 910/1000, Cost: 1.2093\n",
+      " and the parameters are [-3.21952741  4.33250645] -5.712771797619065 ;\n",
+      "Epoch 910/1000, Cost: 3.5170\n",
+      " and the parameters are [-3.21949792  4.3325467 ] -5.712783025559274 ;\n",
+      "Epoch 910/1000, Cost: 2.1523\n",
+      " and the parameters are [-3.21949478  4.33254651] -5.712805564364506 ;\n",
+      "Epoch 910/1000, Cost: 5.9069\n",
+      " and the parameters are [-3.21959894  4.33250898] -5.71278578457029 ;\n",
+      "Epoch 910/1000, Cost: 0.7295\n",
+      " and the parameters are [-3.21958723  4.33254326] -5.712782451274749 ;\n",
+      "Epoch 910/1000, Cost: 4.4310\n",
+      " and the parameters are [-3.21956323  4.33256374] -5.7127939860918175 ;\n",
+      "Epoch 910/1000, Cost: 2.7917\n",
+      " and the parameters are [-3.2195204  4.3325866] -5.712821427689445 ;\n",
+      "Epoch 910/1000, Cost: 1.9850\n",
+      " and the parameters are [-3.21954255  4.33257181] -5.71285130982303 ;\n",
+      "Epoch 910/1000, Cost: 4.6945\n",
+      " and the parameters are [-3.2195412   4.33254233] -5.712872581789583 ;\n",
+      "Epoch 910/1000, Cost: 1.9390\n",
+      " and the parameters are [-3.2195367   4.33253854] -5.7128986405433775 ;\n",
+      "Epoch 910/1000, Cost: 2.4603\n",
+      " and the parameters are [-3.21957834  4.33254647] -5.712901962377883 ;\n",
+      "Epoch 910/1000, Cost: 2.3644\n",
+      " and the parameters are [-3.21967072  4.332526  ] -5.712883398206849 ;\n",
+      "Epoch 910/1000, Cost: 5.1492\n",
+      " and the parameters are [-3.21970458  4.33244354] -5.712936940930759 ;\n",
+      "Epoch 910/1000, Cost: 2.2890\n",
+      " and the parameters are [-3.21968338  4.3324454 ] -5.712971576435413 ;\n",
+      "Epoch 910/1000, Cost: 6.9961\n",
+      " and the parameters are [-3.21966419  4.33255427] -5.712872003497992 ;\n",
+      "Epoch 910/1000, Cost: 6.2357\n",
+      " and the parameters are [-3.21967101  4.33251657] -5.712896596089046 ;\n",
+      "Epoch 910/1000, Cost: 1.7915\n",
+      " and the parameters are [-3.2196555   4.33251881] -5.712929341353512 ;\n",
+      "Epoch 910/1000, Cost: 0.5614\n",
+      " and the parameters are [-3.21966587  4.33253387] -5.712927748146292 ;\n",
+      "Epoch 910/1000, Cost: 4.8362\n",
+      " and the parameters are [-3.21971151  4.33253958] -5.712916113380957 ;\n",
+      "Epoch 910/1000, Cost: 0.5466\n",
+      " and the parameters are [-3.21973227  4.33256213] -5.7129020578130625 ;\n",
+      "Epoch 910/1000, Cost: 4.3747\n",
+      " and the parameters are [-3.21969406  4.33251707] -5.712981825303234 ;\n",
+      "Epoch 910/1000, Cost: 4.0809\n",
+      " and the parameters are [-3.21972496  4.33251083] -5.71296618866679 ;\n",
+      "Epoch 910/1000, Cost: 0.7829\n",
+      " and the parameters are [-3.21971903  4.33254196] -5.712964142279963 ;\n",
+      "Epoch 910/1000, Cost: 3.4273\n",
+      " and the parameters are [-3.21982466  4.33245892] -5.7129876059741616 ;\n",
+      "Epoch 910/1000, Cost: 2.5955\n",
+      " and the parameters are [-3.21986906  4.33242763] -5.713005372732654 ;\n",
+      "Epoch 910/1000, Cost: 5.2842\n",
+      " and the parameters are [-3.21993769  4.33247031] -5.712934873076451 ;\n",
+      "Epoch 910/1000, Cost: 5.2391\n",
+      " and the parameters are [-3.22000536  4.33252684] -5.712842878019934 ;\n",
+      "Epoch 910/1000, Cost: 1.9340\n",
+      " and the parameters are [-3.22004563  4.33249205] -5.712864471107498 ;\n",
+      "Epoch 910/1000, Cost: 1.9326\n",
+      " and the parameters are [-3.22000356  4.33252328] -5.712885129313065 ;\n",
+      "Epoch 910/1000, Cost: 7.2803\n",
+      " and the parameters are [-3.21989296  4.33259233] -5.712891431144534 ;\n",
+      "Epoch 910/1000, Cost: 2.3368\n",
+      " and the parameters are [-3.21993502  4.33249699] -5.71296002196558 ;\n",
+      "Epoch 910/1000, Cost: 1.5951\n",
+      " and the parameters are [-3.21996053  4.33253031] -5.712935498354052 ;\n",
+      "Epoch 910/1000, Cost: 4.1573\n",
+      " and the parameters are [-3.22001506  4.33261617] -5.712852870157956 ;\n",
+      "Epoch 910/1000, Cost: 2.6096\n",
+      " and the parameters are [-3.22001897  4.33264259] -5.712848997350994 ;\n",
+      "Epoch 920/1000, Cost: 1.5751\n",
+      " and the parameters are [-3.2279044   4.34267567] -5.726873218358541 ;\n",
+      "Epoch 920/1000, Cost: 2.5979\n",
+      " and the parameters are [-3.22794307  4.34267884] -5.726860648528511 ;\n",
+      "Epoch 920/1000, Cost: 4.0206\n",
+      " and the parameters are [-3.22791452  4.34278407] -5.726796849307261 ;\n",
+      "Epoch 920/1000, Cost: 8.4237\n",
+      " and the parameters are [-3.22797222  4.34267653] -5.726826568428765 ;\n",
+      "Epoch 920/1000, Cost: 2.4443\n",
+      " and the parameters are [-3.22801007  4.34260481] -5.726885951186112 ;\n",
+      "Epoch 920/1000, Cost: 1.2394\n",
+      " and the parameters are [-3.22801516  4.34262569] -5.726888223326571 ;\n",
+      "Epoch 920/1000, Cost: 1.8818\n",
+      " and the parameters are [-3.22802371  4.34262648] -5.726904520748444 ;\n",
+      "Epoch 920/1000, Cost: 5.3568\n",
+      " and the parameters are [-3.22802297  4.34245125] -5.727039298058612 ;\n",
+      "Epoch 920/1000, Cost: 8.6382\n",
+      " and the parameters are [-3.22795862  4.34256056] -5.726948675716801 ;\n",
+      "Epoch 920/1000, Cost: 4.0323\n",
+      " and the parameters are [-3.22788558  4.34265664] -5.72691801758585 ;\n",
+      "Epoch 920/1000, Cost: 2.1618\n",
+      " and the parameters are [-3.22788543  4.34262926] -5.72694909553449 ;\n",
+      "Epoch 920/1000, Cost: 1.7970\n",
+      " and the parameters are [-3.22792301  4.34255795] -5.727003293944969 ;\n",
+      "Epoch 920/1000, Cost: 2.7617\n",
+      " and the parameters are [-3.22784877  4.34268963] -5.7269590845383345 ;\n",
+      "Epoch 920/1000, Cost: 2.9506\n",
+      " and the parameters are [-3.22789548  4.34260406] -5.727019866377085 ;\n",
+      "Epoch 920/1000, Cost: 1.5352\n",
+      " and the parameters are [-3.22790966  4.34268426] -5.726974153300806 ;\n",
+      "Epoch 920/1000, Cost: 0.8794\n",
+      " and the parameters are [-3.22791968  4.34267464] -5.726995766937837 ;\n",
+      "Epoch 920/1000, Cost: 3.2515\n",
+      " and the parameters are [-3.22788671  4.34265686] -5.7270248385473845 ;\n",
+      "Epoch 920/1000, Cost: 6.1633\n",
+      " and the parameters are [-3.22791316  4.3425993 ] -5.7270785838386455 ;\n",
+      "Epoch 920/1000, Cost: 6.1943\n",
+      " and the parameters are [-3.22784038  4.34265439] -5.727075947939394 ;\n",
+      "Epoch 920/1000, Cost: 0.6836\n",
+      " and the parameters are [-3.22782168  4.34268438] -5.727081947730517 ;\n",
+      "Epoch 920/1000, Cost: 2.3596\n",
+      " and the parameters are [-3.22780649  4.34265533] -5.727133970395216 ;\n",
+      "Epoch 920/1000, Cost: 5.4805\n",
+      " and the parameters are [-3.22787793  4.34251843] -5.7272046348175945 ;\n",
+      "Epoch 920/1000, Cost: 2.4938\n",
+      " and the parameters are [-3.22791559  4.34253468] -5.72718826095202 ;\n",
+      "Epoch 920/1000, Cost: 1.5964\n",
+      " and the parameters are [-3.2278803   4.34254855] -5.727220547923914 ;\n",
+      "Epoch 920/1000, Cost: 1.9029\n",
+      " and the parameters are [-3.22792159  4.34249151] -5.727259274358657 ;\n",
+      "Epoch 920/1000, Cost: 1.2419\n",
+      " and the parameters are [-3.22793645  4.34245303] -5.727304182044486 ;\n",
+      "Epoch 920/1000, Cost: 7.8193\n",
+      " and the parameters are [-3.2278948   4.34235935] -5.727364321938714 ;\n",
+      "Epoch 920/1000, Cost: 5.0006\n",
+      " and the parameters are [-3.22788143  4.34239379] -5.7273330941501515 ;\n",
+      "Epoch 920/1000, Cost: 1.7940\n",
+      " and the parameters are [-3.22783576  4.34242089] -5.727353275296881 ;\n",
+      "Epoch 920/1000, Cost: 2.7931\n",
+      " and the parameters are [-3.22778596  4.34252725] -5.7273184619632165 ;\n",
+      "Epoch 920/1000, Cost: 3.1032\n",
+      " and the parameters are [-3.22778569  4.34250687] -5.727346320893688 ;\n",
+      "Epoch 920/1000, Cost: 1.6586\n",
+      " and the parameters are [-3.2277756   4.34260874] -5.727292765818763 ;\n",
+      "Epoch 920/1000, Cost: 10.9779\n",
+      " and the parameters are [-3.22765391  4.34265666] -5.727284229596483 ;\n",
+      "Epoch 920/1000, Cost: 2.3081\n",
+      " and the parameters are [-3.22757374  4.34273948] -5.72728877914838 ;\n",
+      "Epoch 920/1000, Cost: 0.9520\n",
+      " and the parameters are [-3.22758428  4.34274301] -5.727297061517604 ;\n",
+      "Epoch 920/1000, Cost: 4.7829\n",
+      " and the parameters are [-3.22760935  4.34268794] -5.727333522789131 ;\n",
+      "Epoch 920/1000, Cost: 5.0911\n",
+      " and the parameters are [-3.22756083  4.34271886] -5.727352844597619 ;\n",
+      "Epoch 920/1000, Cost: 1.7211\n",
+      " and the parameters are [-3.2275132   4.34273148] -5.727393574857436 ;\n",
+      "Epoch 920/1000, Cost: 2.8555\n",
+      " and the parameters are [-3.22751528  4.34285053] -5.72731479280268 ;\n",
+      "Epoch 920/1000, Cost: 3.2306\n",
+      " and the parameters are [-3.22753444  4.34286278] -5.727308658097907 ;\n",
+      "Epoch 920/1000, Cost: 2.5751\n",
+      " and the parameters are [-3.22751558  4.34285066] -5.727342614548663 ;\n",
+      "Epoch 920/1000, Cost: 1.5667\n",
+      " and the parameters are [-3.22752412  4.34290192] -5.727329732560057 ;\n",
+      "Epoch 920/1000, Cost: 0.8036\n",
+      " and the parameters are [-3.22753183  4.34292389] -5.727324414120401 ;\n",
+      "Epoch 920/1000, Cost: 2.1038\n",
+      " and the parameters are [-3.22754417  4.34294547] -5.727316495941635 ;\n",
+      "Epoch 920/1000, Cost: 5.9380\n",
+      " and the parameters are [-3.22749545  4.34284762] -5.727427164785418 ;\n",
+      "Epoch 920/1000, Cost: 3.1949\n",
+      " and the parameters are [-3.22756433  4.34282915] -5.727419063276519 ;\n",
+      "Epoch 920/1000, Cost: 2.0271\n",
+      " and the parameters are [-3.22753863  4.3428484 ] -5.727451228787181 ;\n",
+      "Epoch 920/1000, Cost: 1.5477\n",
+      " and the parameters are [-3.22758096  4.34287262] -5.727415728999218 ;\n",
+      "Epoch 920/1000, Cost: 1.1854\n",
+      " and the parameters are [-3.22757777  4.34286688] -5.727443918819485 ;\n",
+      "Epoch 920/1000, Cost: 2.5571\n",
+      " and the parameters are [-3.22752621  4.34295804] -5.727426331197788 ;\n",
+      "Epoch 920/1000, Cost: 2.3492\n",
+      " and the parameters are [-3.2275427   4.34299234] -5.727417245890243 ;\n",
+      "Epoch 920/1000, Cost: 1.1965\n",
+      " and the parameters are [-3.22752782  4.34305937] -5.7273948021578205 ;\n",
+      "Epoch 920/1000, Cost: 3.7264\n",
+      " and the parameters are [-3.22746398  4.34306554] -5.727445079958971 ;\n",
+      "Epoch 920/1000, Cost: 2.1203\n",
+      " and the parameters are [-3.22751244  4.3430886 ] -5.727424888839132 ;\n",
+      "Epoch 920/1000, Cost: 0.9830\n",
+      " and the parameters are [-3.22749875  4.34313554] -5.727419994692225 ;\n",
+      "Epoch 920/1000, Cost: 3.5678\n",
+      " and the parameters are [-3.22752265  4.34306107] -5.727481179094816 ;\n",
+      "Epoch 920/1000, Cost: 2.1790\n",
+      " and the parameters are [-3.22753446  4.34316039] -5.727429736971945 ;\n",
+      "Epoch 920/1000, Cost: 1.3435\n",
+      " and the parameters are [-3.22749992  4.34323499] -5.727411643560153 ;\n",
+      "Epoch 920/1000, Cost: 2.7191\n",
+      " and the parameters are [-3.2275713  4.3431156] -5.7274900218577836 ;\n",
+      "Epoch 920/1000, Cost: 0.9064\n",
+      " and the parameters are [-3.22755014  4.34318094] -5.727474312854297 ;\n",
+      "Epoch 920/1000, Cost: 1.6182\n",
+      " and the parameters are [-3.22757571  4.3432129 ] -5.727460252994245 ;\n",
+      "Epoch 920/1000, Cost: 4.5607\n",
+      " and the parameters are [-3.2276006   4.34309697] -5.727533262270314 ;\n",
+      "Epoch 920/1000, Cost: 3.7308\n",
+      " and the parameters are [-3.22759159  4.34297143] -5.727640431151979 ;\n",
+      "Epoch 920/1000, Cost: 2.1903\n",
+      " and the parameters are [-3.22763398  4.34297785] -5.727618823546669 ;\n",
+      "Epoch 920/1000, Cost: 3.0599\n",
+      " and the parameters are [-3.22762774  4.34308105] -5.727568475335121 ;\n",
+      "Epoch 920/1000, Cost: 3.3086\n",
+      " and the parameters are [-3.22766408  4.34297966] -5.727655227994396 ;\n",
+      "Epoch 920/1000, Cost: 1.3638\n",
+      " and the parameters are [-3.22764178  4.3430028 ] -5.727672025113136 ;\n",
+      "Epoch 920/1000, Cost: 3.4250\n",
+      " and the parameters are [-3.22769969  4.34289855] -5.727735499171178 ;\n",
+      "Epoch 920/1000, Cost: 1.3127\n",
+      " and the parameters are [-3.22771152  4.34295826] -5.727707622281424 ;\n",
+      "Epoch 920/1000, Cost: 3.9007\n",
+      " and the parameters are [-3.22772827  4.34286373] -5.7277917882478775 ;\n",
+      "Epoch 920/1000, Cost: 2.9475\n",
+      " and the parameters are [-3.22775011  4.34282305] -5.72783202410211 ;\n",
+      "Epoch 920/1000, Cost: 2.5597\n",
+      " and the parameters are [-3.22768863  4.34282578] -5.727882199870056 ;\n",
+      "Epoch 920/1000, Cost: 5.9417\n",
+      " and the parameters are [-3.22770258  4.3427788 ] -5.727900144815373 ;\n",
+      "Epoch 920/1000, Cost: 3.9612\n",
+      " and the parameters are [-3.22769785  4.34276915] -5.72791774018411 ;\n",
+      "Epoch 920/1000, Cost: 3.6037\n",
+      " and the parameters are [-3.22773775  4.3427828 ] -5.727897318580211 ;\n",
+      "Epoch 920/1000, Cost: 3.7169\n",
+      " and the parameters are [-3.22774804  4.34282487] -5.727878972262388 ;\n",
+      "Epoch 920/1000, Cost: 2.5741\n",
+      " and the parameters are [-3.22781449  4.34284657] -5.727844621234977 ;\n",
+      "Epoch 920/1000, Cost: 2.3533\n",
+      " and the parameters are [-3.22786556  4.34277154] -5.727889637900668 ;\n",
+      "Epoch 920/1000, Cost: 3.2471\n",
+      " and the parameters are [-3.227842    4.34273647] -5.727939577036495 ;\n",
+      "Epoch 920/1000, Cost: 2.7058\n",
+      " and the parameters are [-3.22795608  4.34262953] -5.727977315315381 ;\n",
+      "Epoch 920/1000, Cost: 1.7121\n",
+      " and the parameters are [-3.22797764  4.3426569 ] -5.727967145403668 ;\n",
+      "Epoch 920/1000, Cost: 1.8863\n",
+      " and the parameters are [-3.22798519  4.34274963] -5.727923175517683 ;\n",
+      "Epoch 920/1000, Cost: 3.8354\n",
+      " and the parameters are [-3.22802039  4.34272024] -5.7279398029212505 ;\n",
+      "Epoch 920/1000, Cost: 3.0793\n",
+      " and the parameters are [-3.22795586  4.3427906 ] -5.727947279326105 ;\n",
+      "Epoch 920/1000, Cost: 0.9840\n",
+      " and the parameters are [-3.22793433  4.3428508 ] -5.72793185818775 ;\n",
+      "Epoch 920/1000, Cost: 1.7099\n",
+      " and the parameters are [-3.22797118  4.3428629 ] -5.727918441862654 ;\n",
+      "Epoch 920/1000, Cost: 3.9278\n",
+      " and the parameters are [-3.22799674  4.34267757] -5.728050142150822 ;\n",
+      "Epoch 920/1000, Cost: 2.7568\n",
+      " and the parameters are [-3.22795089  4.3426707 ] -5.728093586171924 ;\n",
+      "Epoch 920/1000, Cost: 1.1502\n",
+      " and the parameters are [-3.22794617  4.34270358] -5.728091345275156 ;\n",
+      "Epoch 920/1000, Cost: 3.0277\n",
+      " and the parameters are [-3.22797225  4.34279346] -5.728032620695277 ;\n",
+      "Epoch 920/1000, Cost: 1.9183\n",
+      " and the parameters are [-3.22794458  4.34277977] -5.728075176606175 ;\n",
+      "Epoch 920/1000, Cost: 2.6042\n",
+      " and the parameters are [-3.22787629  4.34285064] -5.728077663768347 ;\n",
+      "Epoch 920/1000, Cost: 3.4354\n",
+      " and the parameters are [-3.22785416  4.34287462] -5.728089937521626 ;\n",
+      "Epoch 920/1000, Cost: 1.1145\n",
+      " and the parameters are [-3.22787031  4.34283996] -5.7281303293507415 ;\n",
+      "Epoch 920/1000, Cost: 6.7107\n",
+      " and the parameters are [-3.22785321  4.34279633] -5.728162077434305 ;\n",
+      "Epoch 920/1000, Cost: 4.8580\n",
+      " and the parameters are [-3.22790162  4.34272283] -5.728191611121029 ;\n",
+      "Epoch 920/1000, Cost: 1.7323\n",
+      " and the parameters are [-3.22792456  4.34276139] -5.728166580139358 ;\n",
+      "Epoch 920/1000, Cost: 3.1673\n",
+      " and the parameters are [-3.22790436  4.34276571] -5.7281853576306645 ;\n",
+      "Epoch 920/1000, Cost: 5.3372\n",
+      " and the parameters are [-3.22784885  4.34287425] -5.728139786875996 ;\n",
+      "Epoch 920/1000, Cost: 3.0879\n",
+      " and the parameters are [-3.22784039  4.34294614] -5.728106436910663 ;\n",
+      "Epoch 920/1000, Cost: 1.9015\n",
+      " and the parameters are [-3.22786209  4.34297757] -5.728090087881996 ;\n",
+      "Epoch 920/1000, Cost: 3.1972\n",
+      " and the parameters are [-3.22787773  4.34296771] -5.728120349729405 ;\n",
+      "Epoch 920/1000, Cost: 3.1754\n",
+      " and the parameters are [-3.22785021  4.34294149] -5.728166618240403 ;\n",
+      "Epoch 920/1000, Cost: 1.4083\n",
+      " and the parameters are [-3.22785984  4.34295584] -5.7281756627545635 ;\n",
+      "Epoch 920/1000, Cost: 1.6450\n",
+      " and the parameters are [-3.22790259  4.34292259] -5.7281897661445225 ;\n",
+      "Epoch 920/1000, Cost: 2.6213\n",
+      " and the parameters are [-3.2279729   4.34280013] -5.728248984495111 ;\n",
+      "Epoch 920/1000, Cost: 2.4134\n",
+      " and the parameters are [-3.22796769  4.34276087] -5.728300237512321 ;\n",
+      "Epoch 920/1000, Cost: 4.2345\n",
+      " and the parameters are [-3.2280308   4.34267771] -5.728330433191657 ;\n",
+      "Epoch 920/1000, Cost: 3.9832\n",
+      " and the parameters are [-3.22800719  4.34257829] -5.728403859512402 ;\n",
+      "Epoch 920/1000, Cost: 2.6923\n",
+      " and the parameters are [-3.22807983  4.34248524] -5.728452893440316 ;\n",
+      "Epoch 920/1000, Cost: 2.2268\n",
+      " and the parameters are [-3.22807287  4.34256954] -5.728416970177826 ;\n",
+      "Epoch 920/1000, Cost: 3.3779\n",
+      " and the parameters are [-3.22808161  4.34250639] -5.728482403504848 ;\n",
+      "Epoch 920/1000, Cost: 3.3622\n",
+      " and the parameters are [-3.22807872  4.342601  ] -5.7284381584782595 ;\n",
+      "Epoch 920/1000, Cost: 1.8495\n",
+      " and the parameters are [-3.22810079  4.34256   ] -5.728483525915551 ;\n",
+      "Epoch 920/1000, Cost: 4.2661\n",
+      " and the parameters are [-3.22822848  4.34240593] -5.728517965918978 ;\n",
+      "Epoch 920/1000, Cost: 0.6724\n",
+      " and the parameters are [-3.22822912  4.34243113] -5.728516134451761 ;\n",
+      "Epoch 920/1000, Cost: 4.2557\n",
+      " and the parameters are [-3.2282929   4.34249135] -5.728429264773468 ;\n",
+      "Epoch 920/1000, Cost: 1.9078\n",
+      " and the parameters are [-3.22834426  4.34241726] -5.728477648603537 ;\n",
+      "Epoch 920/1000, Cost: 3.5994\n",
+      " and the parameters are [-3.22840055  4.34229337] -5.7285651562885 ;\n",
+      "Epoch 920/1000, Cost: 1.2767\n",
+      " and the parameters are [-3.22839286  4.34235021] -5.728552621576357 ;\n",
+      "Epoch 920/1000, Cost: 4.6568\n",
+      " and the parameters are [-3.22835743  4.34226899] -5.728628600353387 ;\n",
+      "Epoch 920/1000, Cost: 2.1776\n",
+      " and the parameters are [-3.22835072  4.34223308] -5.728685371576774 ;\n",
+      "Epoch 920/1000, Cost: 3.4888\n",
+      " and the parameters are [-3.22836405  4.34231146] -5.728632644978017 ;\n",
+      "Epoch 920/1000, Cost: 6.1043\n",
+      " and the parameters are [-3.2282753   4.34230602] -5.728681862112311 ;\n",
+      "Epoch 920/1000, Cost: 1.2876\n",
+      " and the parameters are [-3.22831997  4.342321  ] -5.728663627314817 ;\n",
+      "Epoch 920/1000, Cost: 2.8751\n",
+      " and the parameters are [-3.22833932  4.34231948] -5.728674978776781 ;\n",
+      "Epoch 920/1000, Cost: 2.8045\n",
+      " and the parameters are [-3.22831457  4.3423948 ] -5.728645672886326 ;\n",
+      "Epoch 920/1000, Cost: 1.0984\n",
+      " and the parameters are [-3.22833112  4.34242178] -5.728638076126733 ;\n",
+      "Epoch 920/1000, Cost: 2.9255\n",
+      " and the parameters are [-3.22839018  4.34243929] -5.7286047302965235 ;\n",
+      "Epoch 920/1000, Cost: 2.7451\n",
+      " and the parameters are [-3.22841193  4.34246081] -5.72860065206796 ;\n",
+      "Epoch 920/1000, Cost: 4.9866\n",
+      " and the parameters are [-3.22831577  4.34249118] -5.728627644407094 ;\n",
+      "Epoch 920/1000, Cost: 2.6762\n",
+      " and the parameters are [-3.22828461  4.34259849] -5.72858739361072 ;\n",
+      "Epoch 920/1000, Cost: 2.8460\n",
+      " and the parameters are [-3.22829262  4.34266577] -5.728547276636939 ;\n",
+      "Epoch 920/1000, Cost: 5.6059\n",
+      " and the parameters are [-3.22820772  4.34281262] -5.728479754547651 ;\n",
+      "Epoch 920/1000, Cost: 1.8593\n",
+      " and the parameters are [-3.22820477  4.34285173] -5.728465599731197 ;\n",
+      "Epoch 920/1000, Cost: 2.1157\n",
+      " and the parameters are [-3.22820964  4.34286811] -5.728472253032984 ;\n",
+      "Epoch 920/1000, Cost: 1.6234\n",
+      " and the parameters are [-3.22822467  4.34290178] -5.728465380482401 ;\n",
+      "Epoch 920/1000, Cost: 3.6484\n",
+      " and the parameters are [-3.2282643  4.3428818] -5.728472224043858 ;\n",
+      "Epoch 920/1000, Cost: 1.6960\n",
+      " and the parameters are [-3.22830505  4.34281242] -5.728528614338676 ;\n",
+      "Epoch 920/1000, Cost: 3.6304\n",
+      " and the parameters are [-3.22834253  4.34275141] -5.728576984655027 ;\n",
+      "Epoch 920/1000, Cost: 5.9615\n",
+      " and the parameters are [-3.22839156  4.34276069] -5.728554632701952 ;\n",
+      "Epoch 920/1000, Cost: 2.4916\n",
+      " and the parameters are [-3.22839729  4.34281485] -5.728525185838388 ;\n",
+      "Epoch 920/1000, Cost: 3.0178\n",
+      " and the parameters are [-3.22838443  4.34273728] -5.728591119614667 ;\n",
+      "Epoch 920/1000, Cost: 2.4040\n",
+      " and the parameters are [-3.22840617  4.34264381] -5.7286714504588945 ;\n",
+      "Epoch 920/1000, Cost: 6.6826\n",
+      " and the parameters are [-3.228512    4.34259587] -5.728642840738758 ;\n",
+      "Epoch 920/1000, Cost: 4.0785\n",
+      " and the parameters are [-3.22855868  4.34252964] -5.728683334973528 ;\n",
+      "Epoch 920/1000, Cost: 8.6119\n",
+      " and the parameters are [-3.22854287  4.34255577] -5.728641725180195 ;\n",
+      "Epoch 920/1000, Cost: 8.3107\n",
+      " and the parameters are [-3.22844588  4.34259067] -5.728643141393703 ;\n",
+      "Epoch 920/1000, Cost: 1.2442\n",
+      " and the parameters are [-3.22846848  4.34258471] -5.728658488115553 ;\n",
+      "Epoch 920/1000, Cost: 4.0975\n",
+      " and the parameters are [-3.22851672  4.34252878] -5.728681459398762 ;\n",
+      "Epoch 920/1000, Cost: 1.1217\n",
+      " and the parameters are [-3.22851602  4.34255567] -5.728682432119912 ;\n",
+      "Epoch 920/1000, Cost: 1.4720\n",
+      " and the parameters are [-3.22849711  4.34258737] -5.7286926566100655 ;\n",
+      "Epoch 920/1000, Cost: 2.7454\n",
+      " and the parameters are [-3.22855564  4.34253922] -5.7287132154701785 ;\n",
+      "Epoch 920/1000, Cost: 2.8992\n",
+      " and the parameters are [-3.22867332  4.34250134] -5.728696072374931 ;\n",
+      "Epoch 920/1000, Cost: 1.2356\n",
+      " and the parameters are [-3.2286661   4.34253938] -5.72868816136839 ;\n",
+      "Epoch 920/1000, Cost: 3.9945\n",
+      " and the parameters are [-3.22867663  4.34250426] -5.728731681983586 ;\n",
+      "Epoch 920/1000, Cost: 1.7248\n",
+      " and the parameters are [-3.22868147  4.34251137] -5.728748027415614 ;\n",
+      "Epoch 920/1000, Cost: 1.7947\n",
+      " and the parameters are [-3.22871306  4.34255748] -5.728727040811412 ;\n",
+      "Epoch 920/1000, Cost: 4.0239\n",
+      " and the parameters are [-3.22862699  4.34260027] -5.728751521882856 ;\n",
+      "Epoch 920/1000, Cost: 3.0752\n",
+      " and the parameters are [-3.22859945  4.34271824] -5.728702672530279 ;\n",
+      "Epoch 920/1000, Cost: 2.7085\n",
+      " and the parameters are [-3.22859674  4.34269623] -5.728736234425344 ;\n",
+      "Epoch 920/1000, Cost: 3.6738\n",
+      " and the parameters are [-3.22867162  4.34270608] -5.728701147327344 ;\n",
+      "Epoch 920/1000, Cost: 1.6598\n",
+      " and the parameters are [-3.22867114  4.34273345] -5.728705895459277 ;\n",
+      "Epoch 920/1000, Cost: 0.2222\n",
+      " and the parameters are [-3.22866537  4.34275196] -5.728703127781462 ;\n",
+      "Epoch 920/1000, Cost: 2.0502\n",
+      " and the parameters are [-3.22865524  4.34277513] -5.7287197639613465 ;\n",
+      "Epoch 920/1000, Cost: 2.3522\n",
+      " and the parameters are [-3.22860535  4.34275626] -5.7287855781385595 ;\n",
+      "Epoch 920/1000, Cost: 1.5401\n",
+      " and the parameters are [-3.22856615  4.34285913] -5.728747827685438 ;\n",
+      "Epoch 920/1000, Cost: 3.9810\n",
+      " and the parameters are [-3.22864396  4.34275213] -5.728794061213813 ;\n",
+      "Epoch 920/1000, Cost: 2.1855\n",
+      " and the parameters are [-3.22864885  4.34280818] -5.728764633425643 ;\n",
+      "Epoch 920/1000, Cost: 3.9127\n",
+      " and the parameters are [-3.22862014  4.34288352] -5.728714897197368 ;\n",
+      "Epoch 920/1000, Cost: 1.5636\n",
+      " and the parameters are [-3.22864489  4.34290586] -5.728706995212054 ;\n",
+      "Epoch 920/1000, Cost: 3.8477\n",
+      " and the parameters are [-3.22874948  4.3427691 ] -5.728747004897229 ;\n",
+      "Epoch 920/1000, Cost: 2.2509\n",
+      " and the parameters are [-3.22878112  4.34282829] -5.728693331697095 ;\n",
+      "Epoch 920/1000, Cost: 1.7088\n",
+      " and the parameters are [-3.22879364  4.34282673] -5.728702628394043 ;\n",
+      "Epoch 920/1000, Cost: 2.1632\n",
+      " and the parameters are [-3.22882153  4.34288385] -5.728669157056643 ;\n",
+      "Epoch 920/1000, Cost: 0.9005\n",
+      " and the parameters are [-3.22882154  4.34293436] -5.728649752543036 ;\n",
+      "Epoch 920/1000, Cost: 2.6607\n",
+      " and the parameters are [-3.22880646  4.34293211] -5.7286885717531515 ;\n",
+      "Epoch 920/1000, Cost: 4.1095\n",
+      " and the parameters are [-3.22879529  4.3430928 ] -5.728579623707916 ;\n",
+      "Epoch 920/1000, Cost: 4.2386\n",
+      " and the parameters are [-3.22877189  4.34301869] -5.728673095260565 ;\n",
+      "Epoch 920/1000, Cost: 0.5906\n",
+      " and the parameters are [-3.22877421  4.34306349] -5.728654327186768 ;\n",
+      "Epoch 920/1000, Cost: 3.9276\n",
+      " and the parameters are [-3.22872756  4.34323093] -5.728569885807276 ;\n",
+      "Epoch 920/1000, Cost: 1.5668\n",
+      " and the parameters are [-3.22870613  4.34333796] -5.728529299001351 ;\n",
+      "Epoch 920/1000, Cost: 1.5643\n",
+      " and the parameters are [-3.22864439  4.34335462] -5.728569474730323 ;\n",
+      "Epoch 920/1000, Cost: 1.7625\n",
+      " and the parameters are [-3.22864004  4.34339832] -5.728568864906786 ;\n",
+      "Epoch 920/1000, Cost: 5.8882\n",
+      " and the parameters are [-3.22871891  4.34321401] -5.72866314454227 ;\n",
+      "Epoch 920/1000, Cost: 7.1853\n",
+      " and the parameters are [-3.22874409  4.34329118] -5.7285820084553905 ;\n",
+      "Epoch 920/1000, Cost: 1.3178\n",
+      " and the parameters are [-3.2287588   4.34336074] -5.728541945580051 ;\n",
+      "Epoch 920/1000, Cost: 4.4248\n",
+      " and the parameters are [-3.22876016  4.34333765] -5.728566572233252 ;\n",
+      "Epoch 920/1000, Cost: 3.1747\n",
+      " and the parameters are [-3.22876201  4.34327792] -5.728616680576339 ;\n",
+      "Epoch 920/1000, Cost: 0.8240\n",
+      " and the parameters are [-3.22876992  4.34328661] -5.7286219497071995 ;\n",
+      "Epoch 920/1000, Cost: 1.3974\n",
+      " and the parameters are [-3.22880896  4.34333181] -5.728590027531855 ;\n",
+      "Epoch 920/1000, Cost: 2.9470\n",
+      " and the parameters are [-3.22883436  4.34339478] -5.728535089990611 ;\n",
+      "Epoch 920/1000, Cost: 1.6287\n",
+      " and the parameters are [-3.22882637  4.34342326] -5.728545499044046 ;\n",
+      "Epoch 920/1000, Cost: 2.9737\n",
+      " and the parameters are [-3.22882239  4.3434845 ] -5.728518495584591 ;\n",
+      "Epoch 920/1000, Cost: 8.9522\n",
+      " and the parameters are [-3.22889509  4.34352921] -5.728423461124898 ;\n",
+      "Epoch 920/1000, Cost: 1.7967\n",
+      " and the parameters are [-3.22888453  4.34350921] -5.7284716580943895 ;\n",
+      "Epoch 920/1000, Cost: 2.6120\n",
+      " and the parameters are [-3.22884768  4.3435941 ] -5.728448763374581 ;\n",
+      "Epoch 920/1000, Cost: 2.1644\n",
+      " and the parameters are [-3.22885757  4.34357011] -5.728481582325047 ;\n",
+      "Epoch 920/1000, Cost: 4.6382\n",
+      " and the parameters are [-3.22880562  4.34366816] -5.728444981336626 ;\n",
+      "Epoch 920/1000, Cost: 1.9831\n",
+      " and the parameters are [-3.22877665  4.34370878] -5.72845506416552 ;\n",
+      "Epoch 930/1000, Cost: 2.4874\n",
+      " and the parameters are [-3.23652668  4.3535982 ] -5.74236086207064 ;\n",
+      "Epoch 930/1000, Cost: 5.2145\n",
+      " and the parameters are [-3.23652429  4.35355108] -5.742387370680765 ;\n",
+      "Epoch 930/1000, Cost: 3.6771\n",
+      " and the parameters are [-3.2365078   4.35358337] -5.742377838323863 ;\n",
+      "Epoch 930/1000, Cost: 2.4124\n",
+      " and the parameters are [-3.23640842  4.35368341] -5.742376979387677 ;\n",
+      "Epoch 930/1000, Cost: 5.2570\n",
+      " and the parameters are [-3.23647741  4.35363752] -5.742367807131606 ;\n",
+      "Epoch 930/1000, Cost: 2.1905\n",
+      " and the parameters are [-3.23648121  4.35364748] -5.742383175646743 ;\n",
+      "Epoch 930/1000, Cost: 1.4567\n",
+      " and the parameters are [-3.23649117  4.35368879] -5.742361354926722 ;\n",
+      "Epoch 930/1000, Cost: 2.7306\n",
+      " and the parameters are [-3.23643137  4.35374439] -5.742382812567539 ;\n",
+      "Epoch 930/1000, Cost: 4.9656\n",
+      " and the parameters are [-3.23644424  4.35383363] -5.742313078983748 ;\n",
+      "Epoch 930/1000, Cost: 2.2576\n",
+      " and the parameters are [-3.23646861  4.35384575] -5.742319598430851 ;\n",
+      "Epoch 930/1000, Cost: 0.9962\n",
+      " and the parameters are [-3.23646961  4.35387651] -5.742313903137151 ;\n",
+      "Epoch 930/1000, Cost: 3.9886\n",
+      " and the parameters are [-3.23648854  4.35384394] -5.742342435743482 ;\n",
+      "Epoch 930/1000, Cost: 3.1618\n",
+      " and the parameters are [-3.23655419  4.35374366] -5.7424027540100555 ;\n",
+      "Epoch 930/1000, Cost: 2.6966\n",
+      " and the parameters are [-3.23667075  4.35369999] -5.742388116061813 ;\n",
+      "Epoch 930/1000, Cost: 2.0735\n",
+      " and the parameters are [-3.23669111  4.35376992] -5.7423466186937775 ;\n",
+      "Epoch 930/1000, Cost: 4.6261\n",
+      " and the parameters are [-3.23665621  4.35383792] -5.742316583007932 ;\n",
+      "Epoch 930/1000, Cost: 4.6852\n",
+      " and the parameters are [-3.23669381  4.35384367] -5.74230028925406 ;\n",
+      "Epoch 930/1000, Cost: 4.1369\n",
+      " and the parameters are [-3.23670151  4.35387005] -5.742292348002039 ;\n",
+      "Epoch 930/1000, Cost: 2.1051\n",
+      " and the parameters are [-3.23675363  4.35389957] -5.742253487276018 ;\n",
+      "Epoch 930/1000, Cost: 1.0694\n",
+      " and the parameters are [-3.23673049  4.35392431] -5.742268846113346 ;\n",
+      "Epoch 930/1000, Cost: 4.3745\n",
+      " and the parameters are [-3.23666541  4.35403046] -5.742236029111007 ;\n",
+      "Epoch 930/1000, Cost: 1.3726\n",
+      " and the parameters are [-3.23662712  4.35405521] -5.742267333060156 ;\n",
+      "Epoch 930/1000, Cost: 6.9167\n",
+      " and the parameters are [-3.23657734  4.35392745] -5.742401395815523 ;\n",
+      "Epoch 930/1000, Cost: 2.2531\n",
+      " and the parameters are [-3.23656943  4.35396863] -5.74240366003457 ;\n",
+      "Epoch 930/1000, Cost: 1.8563\n",
+      " and the parameters are [-3.23660512  4.353907  ] -5.742439260307431 ;\n",
+      "Epoch 930/1000, Cost: 3.5704\n",
+      " and the parameters are [-3.23664484  4.35383652] -5.742491246338907 ;\n",
+      "Epoch 930/1000, Cost: 3.7930\n",
+      " and the parameters are [-3.23663201  4.35382364] -5.742527290853526 ;\n",
+      "Epoch 930/1000, Cost: 3.3249\n",
+      " and the parameters are [-3.23662033  4.35393745] -5.742459201710593 ;\n",
+      "Epoch 930/1000, Cost: 1.2123\n",
+      " and the parameters are [-3.23659295  4.35395655] -5.7424757394757355 ;\n",
+      "Epoch 930/1000, Cost: 1.2825\n",
+      " and the parameters are [-3.23662621  4.35395741] -5.742476126170133 ;\n",
+      "Epoch 930/1000, Cost: 1.8615\n",
+      " and the parameters are [-3.23668945  4.35397778] -5.742453834853445 ;\n",
+      "Epoch 930/1000, Cost: 3.3743\n",
+      " and the parameters are [-3.23666243  4.3540024 ] -5.742479485814802 ;\n",
+      "Epoch 930/1000, Cost: 2.6712\n",
+      " and the parameters are [-3.23665798  4.35405774] -5.742471762987223 ;\n",
+      "Epoch 930/1000, Cost: 2.1427\n",
+      " and the parameters are [-3.23663781  4.35413944] -5.742446667276542 ;\n",
+      "Epoch 930/1000, Cost: 6.2896\n",
+      " and the parameters are [-3.23670561  4.35414276] -5.7423976019511915 ;\n",
+      "Epoch 930/1000, Cost: 3.5158\n",
+      " and the parameters are [-3.23674716  4.35414752] -5.742387117297681 ;\n",
+      "Epoch 930/1000, Cost: 1.2322\n",
+      " and the parameters are [-3.23673829  4.354207  ] -5.742368843348156 ;\n",
+      "Epoch 930/1000, Cost: 1.2770\n",
+      " and the parameters are [-3.23676297  4.35419813] -5.742382659311322 ;\n",
+      "Epoch 930/1000, Cost: 3.2814\n",
+      " and the parameters are [-3.23670392  4.35437671] -5.742312779561357 ;\n",
+      "Epoch 930/1000, Cost: 2.8010\n",
+      " and the parameters are [-3.2367606  4.3543682] -5.7423071869074915 ;\n",
+      "Epoch 930/1000, Cost: 7.6659\n",
+      " and the parameters are [-3.23683449  4.35427541] -5.742317875628652 ;\n",
+      "Epoch 930/1000, Cost: 4.8765\n",
+      " and the parameters are [-3.23685417  4.35422298] -5.742359563220344 ;\n",
+      "Epoch 930/1000, Cost: 1.9230\n",
+      " and the parameters are [-3.23685096  4.35429056] -5.742330905993669 ;\n",
+      "Epoch 930/1000, Cost: 1.3033\n",
+      " and the parameters are [-3.23683602  4.35434714] -5.742316879501239 ;\n",
+      "Epoch 930/1000, Cost: 1.4712\n",
+      " and the parameters are [-3.2368481   4.35439861] -5.742289967911109 ;\n",
+      "Epoch 930/1000, Cost: 7.3930\n",
+      " and the parameters are [-3.23685269  4.35449047] -5.742193882908454 ;\n",
+      "Epoch 930/1000, Cost: 2.7816\n",
+      " and the parameters are [-3.2367809   4.35446003] -5.742268396823879 ;\n",
+      "Epoch 930/1000, Cost: 4.1107\n",
+      " and the parameters are [-3.23675947  4.35455701] -5.742221499166465 ;\n",
+      "Epoch 930/1000, Cost: 2.0048\n",
+      " and the parameters are [-3.23671495  4.35453391] -5.742286184583226 ;\n",
+      "Epoch 930/1000, Cost: 1.0088\n",
+      " and the parameters are [-3.23669216  4.3545716 ] -5.7422904414167535 ;\n",
+      "Epoch 930/1000, Cost: 6.5158\n",
+      " and the parameters are [-3.23663106  4.35456958] -5.742309549846692 ;\n",
+      "Epoch 930/1000, Cost: 9.6738\n",
+      " and the parameters are [-3.23674511  4.35446288] -5.742313719392647 ;\n",
+      "Epoch 930/1000, Cost: 1.6313\n",
+      " and the parameters are [-3.23677435  4.35448746] -5.742303798999609 ;\n",
+      "Epoch 930/1000, Cost: 4.2992\n",
+      " and the parameters are [-3.23677399  4.35446506] -5.742326271277694 ;\n",
+      "Epoch 930/1000, Cost: 2.0061\n",
+      " and the parameters are [-3.23677109  4.35446065] -5.742354986076182 ;\n",
+      "Epoch 930/1000, Cost: 1.6899\n",
+      " and the parameters are [-3.2367804   4.35441171] -5.7424095519253875 ;\n",
+      "Epoch 930/1000, Cost: 1.9742\n",
+      " and the parameters are [-3.23677434  4.35441137] -5.742435523060446 ;\n",
+      "Epoch 930/1000, Cost: 3.1534\n",
+      " and the parameters are [-3.236781    4.35432475] -5.742509895354389 ;\n",
+      "Epoch 930/1000, Cost: 0.6777\n",
+      " and the parameters are [-3.23677012  4.35438807] -5.742486225260493 ;\n",
+      "Epoch 930/1000, Cost: 5.7746\n",
+      " and the parameters are [-3.23683393  4.35417324] -5.742624252127131 ;\n",
+      "Epoch 930/1000, Cost: 1.4500\n",
+      " and the parameters are [-3.23687467  4.35418397] -5.742609915622378 ;\n",
+      "Epoch 930/1000, Cost: 1.3508\n",
+      " and the parameters are [-3.23688929  4.35423866] -5.7425825055378175 ;\n",
+      "Epoch 930/1000, Cost: 0.5217\n",
+      " and the parameters are [-3.236882    4.35426269] -5.742582082941524 ;\n",
+      "Epoch 930/1000, Cost: 1.4989\n",
+      " and the parameters are [-3.23690345  4.35421577] -5.742622956620649 ;\n",
+      "Epoch 930/1000, Cost: 3.8582\n",
+      " and the parameters are [-3.2368588   4.35425513] -5.742639725491611 ;\n",
+      "Epoch 930/1000, Cost: 3.3048\n",
+      " and the parameters are [-3.23691179  4.35427026] -5.742619492419556 ;\n",
+      "Epoch 930/1000, Cost: 2.2550\n",
+      " and the parameters are [-3.23690459  4.35434834] -5.742583757178259 ;\n",
+      "Epoch 930/1000, Cost: 1.4709\n",
+      " and the parameters are [-3.23691514  4.35435857] -5.7425965122580465 ;\n",
+      "Epoch 930/1000, Cost: 1.5139\n",
+      " and the parameters are [-3.23696363  4.35436014] -5.742585701668661 ;\n",
+      "Epoch 930/1000, Cost: 1.3104\n",
+      " and the parameters are [-3.23696234  4.35437712] -5.742594514807021 ;\n",
+      "Epoch 930/1000, Cost: 2.2975\n",
+      " and the parameters are [-3.23694474  4.35445688] -5.742557700661575 ;\n",
+      "Epoch 930/1000, Cost: 1.9033\n",
+      " and the parameters are [-3.23692992  4.35441057] -5.742606625747982 ;\n",
+      "Epoch 930/1000, Cost: 4.2656\n",
+      " and the parameters are [-3.23689088  4.35441071] -5.742634986695747 ;\n",
+      "Epoch 930/1000, Cost: 1.7746\n",
+      " and the parameters are [-3.23686839  4.3544537 ] -5.7426338770052014 ;\n",
+      "Epoch 930/1000, Cost: 2.3879\n",
+      " and the parameters are [-3.23685877  4.35449071] -5.7426251708595 ;\n",
+      "Epoch 930/1000, Cost: 2.6980\n",
+      " and the parameters are [-3.23688414  4.35437435] -5.742710334950583 ;\n",
+      "Epoch 930/1000, Cost: 2.5003\n",
+      " and the parameters are [-3.23691541  4.35430628] -5.742757063136694 ;\n",
+      "Epoch 930/1000, Cost: 11.4306\n",
+      " and the parameters are [-3.2368396   4.35426229] -5.74278080118805 ;\n",
+      "Epoch 930/1000, Cost: 1.8235\n",
+      " and the parameters are [-3.23685406  4.3542596 ] -5.742799189182081 ;\n",
+      "Epoch 930/1000, Cost: 0.9588\n",
+      " and the parameters are [-3.23685481  4.35427824] -5.742806423499547 ;\n",
+      "Epoch 930/1000, Cost: 1.9042\n",
+      " and the parameters are [-3.23685104  4.35436761] -5.742761391928963 ;\n",
+      "Epoch 930/1000, Cost: 0.7020\n",
+      " and the parameters are [-3.23684278  4.3544138 ] -5.742747268089483 ;\n",
+      "Epoch 930/1000, Cost: 2.5324\n",
+      " and the parameters are [-3.23681743  4.35438087] -5.742807832200305 ;\n",
+      "Epoch 930/1000, Cost: 1.0353\n",
+      " and the parameters are [-3.23680351  4.35439069] -5.742824184140611 ;\n",
+      "Epoch 930/1000, Cost: 2.8418\n",
+      " and the parameters are [-3.23681595  4.3544604 ] -5.742775996542137 ;\n",
+      "Epoch 930/1000, Cost: 5.8390\n",
+      " and the parameters are [-3.23678152  4.35446466] -5.7427952681055165 ;\n",
+      "Epoch 930/1000, Cost: 2.6088\n",
+      " and the parameters are [-3.23675868  4.35444973] -5.742828389228457 ;\n",
+      "Epoch 930/1000, Cost: 1.1683\n",
+      " and the parameters are [-3.23674766  4.35452248] -5.74280228063656 ;\n",
+      "Epoch 930/1000, Cost: 1.7462\n",
+      " and the parameters are [-3.23674775  4.35453136] -5.742816267653421 ;\n",
+      "Epoch 930/1000, Cost: 2.4590\n",
+      " and the parameters are [-3.23679735  4.35453104] -5.742797438604962 ;\n",
+      "Epoch 930/1000, Cost: 1.9395\n",
+      " and the parameters are [-3.23683103  4.35446656] -5.742847498469481 ;\n",
+      "Epoch 930/1000, Cost: 5.7258\n",
+      " and the parameters are [-3.23689754  4.35427776] -5.742953472936704 ;\n",
+      "Epoch 930/1000, Cost: 4.2195\n",
+      " and the parameters are [-3.23699386  4.35433714] -5.742860779741657 ;\n",
+      "Epoch 930/1000, Cost: 1.2148\n",
+      " and the parameters are [-3.23697828  4.3543394 ] -5.74289026495744 ;\n",
+      "Epoch 930/1000, Cost: 0.7938\n",
+      " and the parameters are [-3.23698456  4.35438892] -5.74286489904564 ;\n",
+      "Epoch 930/1000, Cost: 3.6402\n",
+      " and the parameters are [-3.23695593  4.35451915] -5.742791704083476 ;\n",
+      "Epoch 930/1000, Cost: 1.7667\n",
+      " and the parameters are [-3.23697889  4.35453233] -5.742786470583239 ;\n",
+      "Epoch 930/1000, Cost: 2.2257\n",
+      " and the parameters are [-3.23697352  4.35450064] -5.742833293496046 ;\n",
+      "Epoch 930/1000, Cost: 0.5022\n",
+      " and the parameters are [-3.23698027  4.35450853] -5.7428389067250745 ;\n",
+      "Epoch 930/1000, Cost: 2.5588\n",
+      " and the parameters are [-3.23693184  4.35454284] -5.742862731675054 ;\n",
+      "Epoch 930/1000, Cost: 2.6108\n",
+      " and the parameters are [-3.23694466  4.35455532] -5.742873781347454 ;\n",
+      "Epoch 930/1000, Cost: 3.9806\n",
+      " and the parameters are [-3.23694109  4.35451655] -5.742922977704872 ;\n",
+      "Epoch 930/1000, Cost: 4.5295\n",
+      " and the parameters are [-3.236999    4.35439463] -5.742997737330705 ;\n",
+      "Epoch 930/1000, Cost: 3.1002\n",
+      " and the parameters are [-3.23694147  4.35447632] -5.74298418453288 ;\n",
+      "Epoch 930/1000, Cost: 1.2921\n",
+      " and the parameters are [-3.23692202  4.35455039] -5.742952921937395 ;\n",
+      "Epoch 930/1000, Cost: 4.6919\n",
+      " and the parameters are [-3.23693919  4.35457809] -5.742930658344401 ;\n",
+      "Epoch 930/1000, Cost: 3.0002\n",
+      " and the parameters are [-3.23697544  4.35459572] -5.742919960040802 ;\n",
+      "Epoch 930/1000, Cost: 2.5375\n",
+      " and the parameters are [-3.23705695  4.35457389] -5.742921643112387 ;\n",
+      "Epoch 930/1000, Cost: 0.9589\n",
+      " and the parameters are [-3.23706336  4.35455551] -5.742949396580122 ;\n",
+      "Epoch 930/1000, Cost: 1.8647\n",
+      " and the parameters are [-3.23708484  4.35455432] -5.742958109399797 ;\n",
+      "Epoch 930/1000, Cost: 4.2828\n",
+      " and the parameters are [-3.23701572  4.354488  ] -5.74304401170975 ;\n",
+      "Epoch 930/1000, Cost: 2.1290\n",
+      " and the parameters are [-3.23700127  4.35447827] -5.74307910266388 ;\n",
+      "Epoch 930/1000, Cost: 3.4510\n",
+      " and the parameters are [-3.23699796  4.35437179] -5.743174966920258 ;\n",
+      "Epoch 930/1000, Cost: 0.9651\n",
+      " and the parameters are [-3.23698435  4.35441872] -5.743168212957153 ;\n",
+      "Epoch 930/1000, Cost: 1.0349\n",
+      " and the parameters are [-3.23701229  4.35443524] -5.743156865679043 ;\n",
+      "Epoch 930/1000, Cost: 3.2418\n",
+      " and the parameters are [-3.23710007  4.35430537] -5.743206220248452 ;\n",
+      "Epoch 930/1000, Cost: 7.7941\n",
+      " and the parameters are [-3.23697352  4.35423631] -5.743302692979807 ;\n",
+      "Epoch 930/1000, Cost: 1.2837\n",
+      " and the parameters are [-3.23701047  4.3542572 ] -5.7432889933011255 ;\n",
+      "Epoch 930/1000, Cost: 3.4273\n",
+      " and the parameters are [-3.23702839  4.35417143] -5.743356757307786 ;\n",
+      "Epoch 930/1000, Cost: 4.7427\n",
+      " and the parameters are [-3.2370821   4.35411049] -5.7433869971837925 ;\n",
+      "Epoch 930/1000, Cost: 5.6511\n",
+      " and the parameters are [-3.23709117  4.35402421] -5.743452479154422 ;\n",
+      "Epoch 930/1000, Cost: 1.7880\n",
+      " and the parameters are [-3.23713406  4.35400197] -5.7434669293035245 ;\n",
+      "Epoch 930/1000, Cost: 4.6744\n",
+      " and the parameters are [-3.23706814  4.35398883] -5.7435148433651175 ;\n",
+      "Epoch 930/1000, Cost: 4.3359\n",
+      " and the parameters are [-3.23703521  4.35390841] -5.743616465819898 ;\n",
+      "Epoch 930/1000, Cost: 3.1686\n",
+      " and the parameters are [-3.23696643  4.3538728 ] -5.743692059702819 ;\n",
+      "Epoch 930/1000, Cost: 4.6713\n",
+      " and the parameters are [-3.23699701  4.35394184] -5.743629821666213 ;\n",
+      "Epoch 930/1000, Cost: 1.1213\n",
+      " and the parameters are [-3.23697201  4.35400128] -5.743617071836919 ;\n",
+      "Epoch 930/1000, Cost: 1.2486\n",
+      " and the parameters are [-3.23702194  4.353973  ] -5.743627227342805 ;\n",
+      "Epoch 930/1000, Cost: 1.1957\n",
+      " and the parameters are [-3.2370176   4.35397024] -5.743651251136878 ;\n",
+      "Epoch 930/1000, Cost: 0.7238\n",
+      " and the parameters are [-3.23701503  4.35401827] -5.743635594590409 ;\n",
+      "Epoch 930/1000, Cost: 4.4479\n",
+      " and the parameters are [-3.23698595  4.35408989] -5.74359372108491 ;\n",
+      "Epoch 930/1000, Cost: 5.5963\n",
+      " and the parameters are [-3.23700507  4.35396874] -5.743674242095743 ;\n",
+      "Epoch 930/1000, Cost: 1.6635\n",
+      " and the parameters are [-3.23695416  4.3540517 ] -5.743656411826195 ;\n",
+      "Epoch 930/1000, Cost: 3.0643\n",
+      " and the parameters are [-3.23691337  4.35417203] -5.743609560621551 ;\n",
+      "Epoch 930/1000, Cost: 1.9946\n",
+      " and the parameters are [-3.23687256  4.3542872 ] -5.743561492741822 ;\n",
+      "Epoch 930/1000, Cost: 1.3032\n",
+      " and the parameters are [-3.23684341  4.35434539] -5.743549152452381 ;\n",
+      "Epoch 930/1000, Cost: 1.6842\n",
+      " and the parameters are [-3.23685989  4.35434309] -5.743562680354867 ;\n",
+      "Epoch 930/1000, Cost: 5.1964\n",
+      " and the parameters are [-3.23689481  4.35416048] -5.743684235147662 ;\n",
+      "Epoch 930/1000, Cost: 1.5849\n",
+      " and the parameters are [-3.23694677  4.35420158] -5.743651105452087 ;\n",
+      "Epoch 930/1000, Cost: 4.9536\n",
+      " and the parameters are [-3.23695943  4.35420578] -5.7436530360344475 ;\n",
+      "Epoch 930/1000, Cost: 0.8743\n",
+      " and the parameters are [-3.23695921  4.35425035] -5.74363844437399 ;\n",
+      "Epoch 930/1000, Cost: 5.4830\n",
+      " and the parameters are [-3.23693756  4.35420626] -5.743680428567372 ;\n",
+      "Epoch 930/1000, Cost: 1.6370\n",
+      " and the parameters are [-3.23693427  4.35426788] -5.743655357189922 ;\n",
+      "Epoch 930/1000, Cost: 2.3466\n",
+      " and the parameters are [-3.23695401  4.35433326] -5.743619930960293 ;\n",
+      "Epoch 930/1000, Cost: 5.7575\n",
+      " and the parameters are [-3.23691517  4.35437299] -5.7436109009177585 ;\n",
+      "Epoch 930/1000, Cost: 3.8778\n",
+      " and the parameters are [-3.23685097  4.35444542] -5.743616035094355 ;\n",
+      "Epoch 930/1000, Cost: 3.7115\n",
+      " and the parameters are [-3.23694141  4.35440832] -5.743612341887925 ;\n",
+      "Epoch 930/1000, Cost: 2.2024\n",
+      " and the parameters are [-3.23698441  4.35435359] -5.743651276134739 ;\n",
+      "Epoch 930/1000, Cost: 2.6507\n",
+      " and the parameters are [-3.23699998  4.35430643] -5.743700650347283 ;\n",
+      "Epoch 930/1000, Cost: 4.9800\n",
+      " and the parameters are [-3.23707662  4.35433005] -5.743652660790003 ;\n",
+      "Epoch 930/1000, Cost: 5.7075\n",
+      " and the parameters are [-3.23725778  4.35420462] -5.743637143910013 ;\n",
+      "Epoch 930/1000, Cost: 4.9735\n",
+      " and the parameters are [-3.23726581  4.35404306] -5.743761492388422 ;\n",
+      "Epoch 930/1000, Cost: 0.8169\n",
+      " and the parameters are [-3.23726089  4.35403879] -5.743781642444211 ;\n",
+      "Epoch 930/1000, Cost: 5.7626\n",
+      " and the parameters are [-3.23729298  4.35408773] -5.743735951688043 ;\n",
+      "Epoch 930/1000, Cost: 3.9452\n",
+      " and the parameters are [-3.23725869  4.35421561] -5.743679599817513 ;\n",
+      "Epoch 930/1000, Cost: 3.6915\n",
+      " and the parameters are [-3.23718364  4.35442846] -5.7435797729341695 ;\n",
+      "Epoch 930/1000, Cost: 3.4270\n",
+      " and the parameters are [-3.23713437  4.35443228] -5.743625666952689 ;\n",
+      "Epoch 930/1000, Cost: 2.9622\n",
+      " and the parameters are [-3.23713122  4.35444083] -5.743646154479386 ;\n",
+      "Epoch 930/1000, Cost: 3.0899\n",
+      " and the parameters are [-3.23710496  4.35442378] -5.7436822687779125 ;\n",
+      "Epoch 930/1000, Cost: 1.8153\n",
+      " and the parameters are [-3.23707233  4.35444755] -5.743714047394141 ;\n",
+      "Epoch 930/1000, Cost: 3.1157\n",
+      " and the parameters are [-3.23701387  4.35456293] -5.743669561934717 ;\n",
+      "Epoch 930/1000, Cost: 3.7679\n",
+      " and the parameters are [-3.23708051  4.35452666] -5.743687095594262 ;\n",
+      "Epoch 930/1000, Cost: 0.7096\n",
+      " and the parameters are [-3.23708392  4.35453973] -5.743694934617495 ;\n",
+      "Epoch 930/1000, Cost: 2.0134\n",
+      " and the parameters are [-3.23704369  4.35459586] -5.7436917820155475 ;\n",
+      "Epoch 930/1000, Cost: 2.6029\n",
+      " and the parameters are [-3.23712788  4.3544802 ] -5.743755260659589 ;\n",
+      "Epoch 930/1000, Cost: 4.3233\n",
+      " and the parameters are [-3.23716492  4.35448292] -5.743736946073674 ;\n",
+      "Epoch 930/1000, Cost: 2.5258\n",
+      " and the parameters are [-3.23713331  4.35455571] -5.743713833427444 ;\n",
+      "Epoch 930/1000, Cost: 2.2617\n",
+      " and the parameters are [-3.2371624   4.35457129] -5.743711118943383 ;\n",
+      "Epoch 930/1000, Cost: 1.4113\n",
+      " and the parameters are [-3.23714723  4.35459224] -5.743727229462209 ;\n",
+      "Epoch 930/1000, Cost: 1.6172\n",
+      " and the parameters are [-3.23715665  4.35456354] -5.743761601759192 ;\n",
+      "Epoch 930/1000, Cost: 6.1975\n",
+      " and the parameters are [-3.23714553  4.35461848] -5.743716233601081 ;\n",
+      "Epoch 930/1000, Cost: 2.9045\n",
+      " and the parameters are [-3.23716243  4.35463005] -5.743725675672956 ;\n",
+      "Epoch 930/1000, Cost: 1.5392\n",
+      " and the parameters are [-3.23714142  4.35467876] -5.743720530060522 ;\n",
+      "Epoch 930/1000, Cost: 2.9929\n",
+      " and the parameters are [-3.23715797  4.35464379] -5.743766311341762 ;\n",
+      "Epoch 930/1000, Cost: 2.4585\n",
+      " and the parameters are [-3.23717084  4.35463798] -5.743782521758286 ;\n",
+      "Epoch 930/1000, Cost: 0.9583\n",
+      " and the parameters are [-3.23717172  4.35467003] -5.743780652822739 ;\n",
+      "Epoch 930/1000, Cost: 4.3377\n",
+      " and the parameters are [-3.23718716  4.35457075] -5.743848658973877 ;\n",
+      "Epoch 930/1000, Cost: 1.8668\n",
+      " and the parameters are [-3.2372073   4.35459144] -5.743848649968154 ;\n",
+      "Epoch 930/1000, Cost: 0.7771\n",
+      " and the parameters are [-3.23722423  4.35460716] -5.74384523487944 ;\n",
+      "Epoch 930/1000, Cost: 4.6669\n",
+      " and the parameters are [-3.23726359  4.35452364] -5.743876057660084 ;\n",
+      "Epoch 930/1000, Cost: 13.2680\n",
+      " and the parameters are [-3.23732707  4.35446721] -5.743835917104114 ;\n",
+      "Epoch 930/1000, Cost: 4.5527\n",
+      " and the parameters are [-3.23736168  4.35439773] -5.743863659647048 ;\n",
+      "Epoch 930/1000, Cost: 0.5780\n",
+      " and the parameters are [-3.23735877  4.35440187] -5.743878000406027 ;\n",
+      "Epoch 930/1000, Cost: 8.0720\n",
+      " and the parameters are [-3.23729989  4.35443006] -5.7438549567072 ;\n",
+      "Epoch 930/1000, Cost: 1.4015\n",
+      " and the parameters are [-3.23727108  4.35452727] -5.743816531462203 ;\n",
+      "Epoch 930/1000, Cost: 2.8725\n",
+      " and the parameters are [-3.23725611  4.35447724] -5.743879234679828 ;\n",
+      "Epoch 930/1000, Cost: 1.3046\n",
+      " and the parameters are [-3.23724459  4.35449641] -5.7438905165564655 ;\n",
+      "Epoch 930/1000, Cost: 3.3956\n",
+      " and the parameters are [-3.23725287  4.35459074] -5.743833644559783 ;\n",
+      "Epoch 930/1000, Cost: 1.2540\n",
+      " and the parameters are [-3.23727815  4.35458518] -5.743848271154156 ;\n",
+      "Epoch 930/1000, Cost: 2.4425\n",
+      " and the parameters are [-3.23726757  4.35468986] -5.743796399407487 ;\n",
+      "Epoch 930/1000, Cost: 3.3742\n",
+      " and the parameters are [-3.23730489  4.35474651] -5.743749823914636 ;\n",
+      "Epoch 930/1000, Cost: 1.8681\n",
+      " and the parameters are [-3.23732734  4.35468669] -5.743802919075951 ;\n",
+      "Epoch 930/1000, Cost: 2.4432\n",
+      " and the parameters are [-3.23735159  4.35465686] -5.7438280216410496 ;\n",
+      "Epoch 930/1000, Cost: 1.8909\n",
+      " and the parameters are [-3.23737743  4.35460743] -5.743869142603513 ;\n",
+      "Epoch 930/1000, Cost: 2.9166\n",
+      " and the parameters are [-3.23738313  4.35457669] -5.7439080320115945 ;\n",
+      "Epoch 930/1000, Cost: 3.2080\n",
+      " and the parameters are [-3.23740963  4.35457178] -5.743913219366939 ;\n",
+      "Epoch 930/1000, Cost: 4.0746\n",
+      " and the parameters are [-3.23743782  4.35445027] -5.743977649310261 ;\n",
+      "Epoch 930/1000, Cost: 1.3472\n",
+      " and the parameters are [-3.23742533  4.35448198] -5.74398419168285 ;\n",
+      "Epoch 930/1000, Cost: 1.5958\n",
+      " and the parameters are [-3.23746215  4.35452617] -5.743949855700107 ;\n",
+      "Epoch 930/1000, Cost: 2.4160\n",
+      " and the parameters are [-3.23747179  4.35454152] -5.74395123089645 ;\n",
+      "Epoch 940/1000, Cost: 0.5431\n",
+      " and the parameters are [-3.2452079   4.36429478] -5.757699426203254 ;\n",
+      "Epoch 940/1000, Cost: 1.5941\n",
+      " and the parameters are [-3.24521345  4.36436405] -5.7576634466301355 ;\n",
+      "Epoch 940/1000, Cost: 4.3733\n",
+      " and the parameters are [-3.24513352  4.36437122] -5.757711868945197 ;\n",
+      "Epoch 940/1000, Cost: 2.5854\n",
+      " and the parameters are [-3.24510749  4.36434904] -5.757755255615725 ;\n",
+      "Epoch 940/1000, Cost: 3.6305\n",
+      " and the parameters are [-3.24511647  4.36440915] -5.757726490219883 ;\n",
+      "Epoch 940/1000, Cost: 1.7522\n",
+      " and the parameters are [-3.24508009  4.36444307] -5.757744650753379 ;\n",
+      "Epoch 940/1000, Cost: 3.6605\n",
+      " and the parameters are [-3.24515231  4.3645251 ] -5.7576523031341145 ;\n",
+      "Epoch 940/1000, Cost: 1.3927\n",
+      " and the parameters are [-3.24514486  4.36451578] -5.757680926730725 ;\n",
+      "Epoch 940/1000, Cost: 5.8869\n",
+      " and the parameters are [-3.24506116  4.36466173] -5.757613883838729 ;\n",
+      "Epoch 940/1000, Cost: 1.8760\n",
+      " and the parameters are [-3.24508838  4.36463845] -5.757629025380143 ;\n",
+      "Epoch 940/1000, Cost: 2.1766\n",
+      " and the parameters are [-3.24504701  4.36465337] -5.757665836476594 ;\n",
+      "Epoch 940/1000, Cost: 4.6928\n",
+      " and the parameters are [-3.24503537  4.36464082] -5.757693576063026 ;\n",
+      "Epoch 940/1000, Cost: 1.2149\n",
+      " and the parameters are [-3.24508207  4.36461844] -5.757700389127164 ;\n",
+      "Epoch 940/1000, Cost: 2.4755\n",
+      " and the parameters are [-3.24508551  4.36463146] -5.757714755147222 ;\n",
+      "Epoch 940/1000, Cost: 5.9684\n",
+      " and the parameters are [-3.24506762  4.36454755] -5.757776721728424 ;\n",
+      "Epoch 940/1000, Cost: 4.6473\n",
+      " and the parameters are [-3.24515169  4.36449777] -5.757761643375635 ;\n",
+      "Epoch 940/1000, Cost: 4.0610\n",
+      " and the parameters are [-3.24521331  4.36450053] -5.757741047568267 ;\n",
+      "Epoch 940/1000, Cost: 2.5277\n",
+      " and the parameters are [-3.24517795  4.36460218] -5.757700387834452 ;\n",
+      "Epoch 940/1000, Cost: 0.6670\n",
+      " and the parameters are [-3.24519121  4.36459546] -5.757714135285007 ;\n",
+      "Epoch 940/1000, Cost: 2.9296\n",
+      " and the parameters are [-3.2452083   4.36461054] -5.757719781802694 ;\n",
+      "Epoch 940/1000, Cost: 1.0358\n",
+      " and the parameters are [-3.24520848  4.36466668] -5.757697407351377 ;\n",
+      "Epoch 940/1000, Cost: 3.5401\n",
+      " and the parameters are [-3.24519555  4.36472171] -5.757682984030444 ;\n",
+      "Epoch 940/1000, Cost: 0.8611\n",
+      " and the parameters are [-3.2451782   4.36477693] -5.757668087395235 ;\n",
+      "Epoch 940/1000, Cost: 2.2931\n",
+      " and the parameters are [-3.2451662   4.36481207] -5.757665207926147 ;\n",
+      "Epoch 940/1000, Cost: 3.0180\n",
+      " and the parameters are [-3.24523608  4.36467553] -5.757751740878545 ;\n",
+      "Epoch 940/1000, Cost: 4.1941\n",
+      " and the parameters are [-3.24523473  4.36469015] -5.757759680524025 ;\n",
+      "Epoch 940/1000, Cost: 3.6888\n",
+      " and the parameters are [-3.24522551  4.36474933] -5.7577379575576915 ;\n",
+      "Epoch 940/1000, Cost: 4.1490\n",
+      " and the parameters are [-3.24524887  4.36462287] -5.7578330033329586 ;\n",
+      "Epoch 940/1000, Cost: 1.2758\n",
+      " and the parameters are [-3.24525046  4.36462795] -5.75784907666021 ;\n",
+      "Epoch 940/1000, Cost: 3.0666\n",
+      " and the parameters are [-3.24529849  4.36469711] -5.757788769382673 ;\n",
+      "Epoch 940/1000, Cost: 4.4339\n",
+      " and the parameters are [-3.24524181  4.36470588] -5.7578207937022965 ;\n",
+      "Epoch 940/1000, Cost: 2.8904\n",
+      " and the parameters are [-3.24525642  4.36463061] -5.757882107603311 ;\n",
+      "Epoch 940/1000, Cost: 2.5692\n",
+      " and the parameters are [-3.24519992  4.36471886] -5.75786748416721 ;\n",
+      "Epoch 940/1000, Cost: 1.0385\n",
+      " and the parameters are [-3.24521557  4.36473983] -5.7578666744533935 ;\n",
+      "Epoch 940/1000, Cost: 2.3047\n",
+      " and the parameters are [-3.24524037  4.36484117] -5.757797176446161 ;\n",
+      "Epoch 940/1000, Cost: 1.3526\n",
+      " and the parameters are [-3.2452507   4.36487596] -5.757770720624589 ;\n",
+      "Epoch 940/1000, Cost: 2.4224\n",
+      " and the parameters are [-3.24531175  4.36490321] -5.757746352010689 ;\n",
+      "Epoch 940/1000, Cost: 2.9510\n",
+      " and the parameters are [-3.24535832  4.36491325] -5.757721111401804 ;\n",
+      "Epoch 940/1000, Cost: 1.1058\n",
+      " and the parameters are [-3.24535546  4.36491803] -5.757734093366161 ;\n",
+      "Epoch 940/1000, Cost: 3.4703\n",
+      " and the parameters are [-3.24531661  4.36500327] -5.75771084343332 ;\n",
+      "Epoch 940/1000, Cost: 2.7730\n",
+      " and the parameters are [-3.24532901  4.36505856] -5.75769404140314 ;\n",
+      "Epoch 940/1000, Cost: 3.4928\n",
+      " and the parameters are [-3.24532018  4.36510056] -5.757676275548864 ;\n",
+      "Epoch 940/1000, Cost: 2.7565\n",
+      " and the parameters are [-3.24535489  4.36506307] -5.7577033624076766 ;\n",
+      "Epoch 940/1000, Cost: 4.4833\n",
+      " and the parameters are [-3.2452899   4.36508851] -5.757735467075674 ;\n",
+      "Epoch 940/1000, Cost: 0.5566\n",
+      " and the parameters are [-3.24529842  4.36509429] -5.7577408863541075 ;\n",
+      "Epoch 940/1000, Cost: 7.9216\n",
+      " and the parameters are [-3.24536172  4.36508891] -5.757673885622435 ;\n",
+      "Epoch 940/1000, Cost: 1.2515\n",
+      " and the parameters are [-3.24536706  4.36508976] -5.757691501220233 ;\n",
+      "Epoch 940/1000, Cost: 0.6029\n",
+      " and the parameters are [-3.24538188  4.36508328] -5.757704916958527 ;\n",
+      "Epoch 940/1000, Cost: 10.2227\n",
+      " and the parameters are [-3.2454198   4.36512932] -5.757615659659358 ;\n",
+      "Epoch 940/1000, Cost: 6.9447\n",
+      " and the parameters are [-3.24543481  4.36510236] -5.757610170481327 ;\n",
+      "Epoch 940/1000, Cost: 4.5534\n",
+      " and the parameters are [-3.24532249  4.36513816] -5.757630169924314 ;\n",
+      "Epoch 940/1000, Cost: 2.3681\n",
+      " and the parameters are [-3.24533777  4.36515102] -5.757625938670705 ;\n",
+      "Epoch 940/1000, Cost: 1.0881\n",
+      " and the parameters are [-3.24534469  4.36514849] -5.75764679574858 ;\n",
+      "Epoch 940/1000, Cost: 1.3996\n",
+      " and the parameters are [-3.24538992  4.36520682] -5.7575982878747425 ;\n",
+      "Epoch 940/1000, Cost: 3.0745\n",
+      " and the parameters are [-3.2454385   4.36515379] -5.757635561401506 ;\n",
+      "Epoch 940/1000, Cost: 0.6302\n",
+      " and the parameters are [-3.24545548  4.36518691] -5.757614367273791 ;\n",
+      "Epoch 940/1000, Cost: 1.2527\n",
+      " and the parameters are [-3.24543078  4.36518523] -5.757648009583229 ;\n",
+      "Epoch 940/1000, Cost: 4.0471\n",
+      " and the parameters are [-3.24541344  4.36512061] -5.75771918913505 ;\n",
+      "Epoch 940/1000, Cost: 1.0327\n",
+      " and the parameters are [-3.24542251  4.36510969] -5.757743879669746 ;\n",
+      "Epoch 940/1000, Cost: 6.0561\n",
+      " and the parameters are [-3.24543898  4.36501227] -5.757796433481625 ;\n",
+      "Epoch 940/1000, Cost: 2.9738\n",
+      " and the parameters are [-3.24543521  4.3649872 ] -5.757836215341485 ;\n",
+      "Epoch 940/1000, Cost: 1.3955\n",
+      " and the parameters are [-3.24542905  4.36503455] -5.7578254505049316 ;\n",
+      "Epoch 940/1000, Cost: 0.7760\n",
+      " and the parameters are [-3.2454362   4.36501739] -5.757852361370934 ;\n",
+      "Epoch 940/1000, Cost: 1.8933\n",
+      " and the parameters are [-3.24544465  4.36501376] -5.757877903371198 ;\n",
+      "Epoch 940/1000, Cost: 4.7359\n",
+      " and the parameters are [-3.24554002  4.36509929] -5.757763579772857 ;\n",
+      "Epoch 940/1000, Cost: 1.3424\n",
+      " and the parameters are [-3.24553246  4.36509669] -5.757792832883122 ;\n",
+      "Epoch 940/1000, Cost: 3.9160\n",
+      " and the parameters are [-3.24548492  4.36515391] -5.757796105695779 ;\n",
+      "Epoch 940/1000, Cost: 4.7716\n",
+      " and the parameters are [-3.24555051  4.36501112] -5.757866763043799 ;\n",
+      "Epoch 940/1000, Cost: 2.8762\n",
+      " and the parameters are [-3.24555046  4.36500807] -5.757880101444947 ;\n",
+      "Epoch 940/1000, Cost: 2.0732\n",
+      " and the parameters are [-3.24557368  4.36509249] -5.7578203780505 ;\n",
+      "Epoch 940/1000, Cost: 0.6236\n",
+      " and the parameters are [-3.24556917  4.36512544] -5.757813616940343 ;\n",
+      "Epoch 940/1000, Cost: 4.5349\n",
+      " and the parameters are [-3.24553559  4.36527982] -5.757722704192371 ;\n",
+      "Epoch 940/1000, Cost: 1.3911\n",
+      " and the parameters are [-3.24549087  4.36530513] -5.757738724792192 ;\n",
+      "Epoch 940/1000, Cost: 5.4811\n",
+      " and the parameters are [-3.24546426  4.36539998] -5.75769470729994 ;\n",
+      "Epoch 940/1000, Cost: 1.8093\n",
+      " and the parameters are [-3.24550336  4.36534981] -5.75773206262867 ;\n",
+      "Epoch 940/1000, Cost: 3.7036\n",
+      " and the parameters are [-3.24553346  4.36534765] -5.7577224036205585 ;\n",
+      "Epoch 940/1000, Cost: 2.9188\n",
+      " and the parameters are [-3.24557568  4.36531792] -5.757735699562518 ;\n",
+      "Epoch 940/1000, Cost: 1.1363\n",
+      " and the parameters are [-3.2455997   4.36532357] -5.757741839761645 ;\n",
+      "Epoch 940/1000, Cost: 4.0039\n",
+      " and the parameters are [-3.24556192  4.36528752] -5.757792868675971 ;\n",
+      "Epoch 940/1000, Cost: 1.8751\n",
+      " and the parameters are [-3.2455667   4.36532601] -5.75779122622835 ;\n",
+      "Epoch 940/1000, Cost: 3.4603\n",
+      " and the parameters are [-3.24572182  4.36512277] -5.7578633559796675 ;\n",
+      "Epoch 940/1000, Cost: 1.9403\n",
+      " and the parameters are [-3.24577943  4.36508457] -5.757874964478942 ;\n",
+      "Epoch 940/1000, Cost: 8.6035\n",
+      " and the parameters are [-3.24567205  4.36501109] -5.757960125487784 ;\n",
+      "Epoch 940/1000, Cost: 0.7914\n",
+      " and the parameters are [-3.24568668  4.36500274] -5.757975893659249 ;\n",
+      "Epoch 940/1000, Cost: 1.2918\n",
+      " and the parameters are [-3.24570797  4.36503243] -5.757955361948599 ;\n",
+      "Epoch 940/1000, Cost: 11.3065\n",
+      " and the parameters are [-3.24566814  4.3651696 ] -5.757823414198759 ;\n",
+      "Epoch 940/1000, Cost: 4.5356\n",
+      " and the parameters are [-3.24577055  4.36499642] -5.757889355459603 ;\n",
+      "Epoch 940/1000, Cost: 2.4827\n",
+      " and the parameters are [-3.24576076  4.36499452] -5.757927269260311 ;\n",
+      "Epoch 940/1000, Cost: 1.8697\n",
+      " and the parameters are [-3.24576635  4.36506157] -5.757883217199441 ;\n",
+      "Epoch 940/1000, Cost: 4.7224\n",
+      " and the parameters are [-3.24589411  4.36502188] -5.757871156285647 ;\n",
+      "Epoch 940/1000, Cost: 1.3091\n",
+      " and the parameters are [-3.24591008  4.36504758] -5.7578596751229245 ;\n",
+      "Epoch 940/1000, Cost: 1.9781\n",
+      " and the parameters are [-3.24593193  4.36512128] -5.757809128154776 ;\n",
+      "Epoch 940/1000, Cost: 4.7498\n",
+      " and the parameters are [-3.24590713  4.3650269 ] -5.7579030175655745 ;\n",
+      "Epoch 940/1000, Cost: 2.2862\n",
+      " and the parameters are [-3.24592152  4.36505962] -5.757896406720471 ;\n",
+      "Epoch 940/1000, Cost: 3.5584\n",
+      " and the parameters are [-3.24591454  4.36505908] -5.757917156603814 ;\n",
+      "Epoch 940/1000, Cost: 1.0472\n",
+      " and the parameters are [-3.2459293   4.36509954] -5.757899038274839 ;\n",
+      "Epoch 940/1000, Cost: 1.3828\n",
+      " and the parameters are [-3.24594587  4.36509963] -5.757913355701854 ;\n",
+      "Epoch 940/1000, Cost: 3.1902\n",
+      " and the parameters are [-3.24595243  4.36503503] -5.7579719133410805 ;\n",
+      "Epoch 940/1000, Cost: 3.6398\n",
+      " and the parameters are [-3.24586193  4.36511594] -5.757974747403635 ;\n",
+      "Epoch 940/1000, Cost: 8.6128\n",
+      " and the parameters are [-3.24584835  4.36512102] -5.7579502718812305 ;\n",
+      "Epoch 940/1000, Cost: 2.1570\n",
+      " and the parameters are [-3.24587733  4.36506361] -5.75799921633029 ;\n",
+      "Epoch 940/1000, Cost: 2.1376\n",
+      " and the parameters are [-3.2459231   4.36509571] -5.757970697952474 ;\n",
+      "Epoch 940/1000, Cost: 3.1095\n",
+      " and the parameters are [-3.24584782  4.36525721] -5.757923007511083 ;\n",
+      "Epoch 940/1000, Cost: 2.8210\n",
+      " and the parameters are [-3.24583801  4.36520021] -5.75799068445866 ;\n",
+      "Epoch 940/1000, Cost: 2.5665\n",
+      " and the parameters are [-3.2457917   4.36530357] -5.757960646599737 ;\n",
+      "Epoch 940/1000, Cost: 5.3357\n",
+      " and the parameters are [-3.24586287  4.36510384] -5.758061809293574 ;\n",
+      "Epoch 940/1000, Cost: 5.4399\n",
+      " and the parameters are [-3.24580315  4.36527865] -5.757965826622918 ;\n",
+      "Epoch 940/1000, Cost: 0.9646\n",
+      " and the parameters are [-3.24580108  4.3653132 ] -5.757962556456264 ;\n",
+      "Epoch 940/1000, Cost: 3.1668\n",
+      " and the parameters are [-3.24576744  4.36544277] -5.757895088830608 ;\n",
+      "Epoch 940/1000, Cost: 1.4418\n",
+      " and the parameters are [-3.24575721  4.36547682] -5.757897957179114 ;\n",
+      "Epoch 940/1000, Cost: 2.5151\n",
+      " and the parameters are [-3.24575486  4.36544642] -5.757936426907715 ;\n",
+      "Epoch 940/1000, Cost: 4.0336\n",
+      " and the parameters are [-3.24580655  4.36534811] -5.75799329706692 ;\n",
+      "Epoch 940/1000, Cost: 2.5385\n",
+      " and the parameters are [-3.24578422  4.36543028] -5.7579699080132105 ;\n",
+      "Epoch 940/1000, Cost: 1.2463\n",
+      " and the parameters are [-3.24580452  4.36543784] -5.75797154669667 ;\n",
+      "Epoch 940/1000, Cost: 3.0246\n",
+      " and the parameters are [-3.24572602  4.36555892] -5.757944298221597 ;\n",
+      "Epoch 940/1000, Cost: 1.8615\n",
+      " and the parameters are [-3.24575936  4.36558489] -5.757930922043234 ;\n",
+      "Epoch 940/1000, Cost: 3.0905\n",
+      " and the parameters are [-3.24578108  4.36550561] -5.7579933126016565 ;\n",
+      "Epoch 940/1000, Cost: 1.9279\n",
+      " and the parameters are [-3.24579411  4.36551741] -5.757999723993227 ;\n",
+      "Epoch 940/1000, Cost: 3.9443\n",
+      " and the parameters are [-3.24573514  4.36544688] -5.758092911915338 ;\n",
+      "Epoch 940/1000, Cost: 4.1456\n",
+      " and the parameters are [-3.24573548  4.36548915] -5.758081497427773 ;\n",
+      "Epoch 940/1000, Cost: 4.5665\n",
+      " and the parameters are [-3.24581024  4.36542171] -5.758108553142409 ;\n",
+      "Epoch 940/1000, Cost: 3.4032\n",
+      " and the parameters are [-3.2458285   4.36532371] -5.758184257043082 ;\n",
+      "Epoch 940/1000, Cost: 4.5991\n",
+      " and the parameters are [-3.24578887  4.36545697] -5.7581330874053585 ;\n",
+      "Epoch 940/1000, Cost: 1.3170\n",
+      " and the parameters are [-3.24577215  4.36546806] -5.758153126210805 ;\n",
+      "Epoch 940/1000, Cost: 3.1439\n",
+      " and the parameters are [-3.24581559  4.36544282] -5.758161400212892 ;\n",
+      "Epoch 940/1000, Cost: 2.8736\n",
+      " and the parameters are [-3.24581899  4.36534685] -5.758255437183509 ;\n",
+      "Epoch 940/1000, Cost: 4.1521\n",
+      " and the parameters are [-3.24585843  4.36530704] -5.75826028178749 ;\n",
+      "Epoch 940/1000, Cost: 2.2722\n",
+      " and the parameters are [-3.2459344   4.36526073] -5.758281806635614 ;\n",
+      "Epoch 940/1000, Cost: 1.3214\n",
+      " and the parameters are [-3.24596238  4.3652328 ] -5.7583064630219125 ;\n",
+      "Epoch 940/1000, Cost: 2.1876\n",
+      " and the parameters are [-3.24596384  4.36528939] -5.758266108920026 ;\n",
+      "Epoch 940/1000, Cost: 1.7369\n",
+      " and the parameters are [-3.24591349  4.3652838 ] -5.758319993639758 ;\n",
+      "Epoch 940/1000, Cost: 2.7059\n",
+      " and the parameters are [-3.24595171  4.36533472] -5.758284537245275 ;\n",
+      "Epoch 940/1000, Cost: 2.5582\n",
+      " and the parameters are [-3.24595295  4.3653108 ] -5.758322133947531 ;\n",
+      "Epoch 940/1000, Cost: 4.9409\n",
+      " and the parameters are [-3.24598422  4.36529053] -5.758314009989357 ;\n",
+      "Epoch 940/1000, Cost: 6.9985\n",
+      " and the parameters are [-3.24592177  4.3651803 ] -5.758421525595774 ;\n",
+      "Epoch 940/1000, Cost: 1.2417\n",
+      " and the parameters are [-3.24593342  4.36521463] -5.758409508532097 ;\n",
+      "Epoch 940/1000, Cost: 1.3632\n",
+      " and the parameters are [-3.24597618  4.36520924] -5.758414775031618 ;\n",
+      "Epoch 940/1000, Cost: 2.4882\n",
+      " and the parameters are [-3.2459615   4.36517923] -5.758474492626651 ;\n",
+      "Epoch 940/1000, Cost: 2.1198\n",
+      " and the parameters are [-3.24596317  4.36526   ] -5.758439675752713 ;\n",
+      "Epoch 940/1000, Cost: 5.6220\n",
+      " and the parameters are [-3.24607392  4.3650861 ] -5.758499094575032 ;\n",
+      "Epoch 940/1000, Cost: 0.8093\n",
+      " and the parameters are [-3.24606963  4.3651291 ] -5.758488071771124 ;\n",
+      "Epoch 940/1000, Cost: 4.5667\n",
+      " and the parameters are [-3.24601006  4.36503676] -5.758576916196002 ;\n",
+      "Epoch 940/1000, Cost: 2.0298\n",
+      " and the parameters are [-3.24605152  4.3649584 ] -5.758626950650891 ;\n",
+      "Epoch 940/1000, Cost: 0.8326\n",
+      " and the parameters are [-3.24602672  4.36500027] -5.7586273257529275 ;\n",
+      "Epoch 940/1000, Cost: 5.5994\n",
+      " and the parameters are [-3.24603937  4.36502706] -5.7585893395886565 ;\n",
+      "Epoch 940/1000, Cost: 2.8813\n",
+      " and the parameters are [-3.24600588  4.36507805] -5.758588342452471 ;\n",
+      "Epoch 940/1000, Cost: 6.1154\n",
+      " and the parameters are [-3.24603734  4.36512669] -5.758549006047375 ;\n",
+      "Epoch 940/1000, Cost: 1.7864\n",
+      " and the parameters are [-3.24601027  4.36512344] -5.7585861359180806 ;\n",
+      "Epoch 940/1000, Cost: 1.8513\n",
+      " and the parameters are [-3.24599939  4.36516117] -5.758584746316634 ;\n",
+      "Epoch 940/1000, Cost: 2.0235\n",
+      " and the parameters are [-3.24601074  4.36518762] -5.758584281902843 ;\n",
+      "Epoch 940/1000, Cost: 4.1694\n",
+      " and the parameters are [-3.24610865  4.36501542] -5.7586618737613815 ;\n",
+      "Epoch 940/1000, Cost: 0.8581\n",
+      " and the parameters are [-3.24610115  4.36504673] -5.758660409361501 ;\n",
+      "Epoch 940/1000, Cost: 2.6734\n",
+      " and the parameters are [-3.24606391  4.36503196] -5.758712312828574 ;\n",
+      "Epoch 940/1000, Cost: 3.8960\n",
+      " and the parameters are [-3.24610548  4.36491755] -5.758795137589405 ;\n",
+      "Epoch 940/1000, Cost: 2.8474\n",
+      " and the parameters are [-3.24614536  4.36488966] -5.758810206150652 ;\n",
+      "Epoch 940/1000, Cost: 4.4126\n",
+      " and the parameters are [-3.24615751  4.3648882 ] -5.758815806050415 ;\n",
+      "Epoch 940/1000, Cost: 3.7481\n",
+      " and the parameters are [-3.2460148   4.36510517] -5.758751209652611 ;\n",
+      "Epoch 940/1000, Cost: 2.8286\n",
+      " and the parameters are [-3.24597638  4.3651951 ] -5.758727763962566 ;\n",
+      "Epoch 940/1000, Cost: 1.7591\n",
+      " and the parameters are [-3.24597264  4.36520636] -5.758739740709138 ;\n",
+      "Epoch 940/1000, Cost: 5.3202\n",
+      " and the parameters are [-3.24596226  4.36511824] -5.758822571135065 ;\n",
+      "Epoch 940/1000, Cost: 4.3822\n",
+      " and the parameters are [-3.24590686  4.36516401] -5.758839894635147 ;\n",
+      "Epoch 940/1000, Cost: 2.1392\n",
+      " and the parameters are [-3.24588777  4.36528174] -5.758781816771175 ;\n",
+      "Epoch 940/1000, Cost: 3.6951\n",
+      " and the parameters are [-3.2459047   4.36518143] -5.75886737742895 ;\n",
+      "Epoch 940/1000, Cost: 2.4556\n",
+      " and the parameters are [-3.24588661  4.36518937] -5.758891028870788 ;\n",
+      "Epoch 940/1000, Cost: 1.9479\n",
+      " and the parameters are [-3.24588445  4.36519401] -5.758912104076071 ;\n",
+      "Epoch 940/1000, Cost: 2.8092\n",
+      " and the parameters are [-3.24586726  4.36525445] -5.758899669991693 ;\n",
+      "Epoch 940/1000, Cost: 1.2640\n",
+      " and the parameters are [-3.24582721  4.36529641] -5.758911337670144 ;\n",
+      "Epoch 940/1000, Cost: 4.2754\n",
+      " and the parameters are [-3.24587342  4.36524773] -5.758927252225837 ;\n",
+      "Epoch 940/1000, Cost: 1.7413\n",
+      " and the parameters are [-3.24586865  4.36528112] -5.758932031402499 ;\n",
+      "Epoch 940/1000, Cost: 1.2149\n",
+      " and the parameters are [-3.24586172  4.3653089 ] -5.758937096534245 ;\n",
+      "Epoch 940/1000, Cost: 3.1070\n",
+      " and the parameters are [-3.24589385  4.36522744] -5.758984530046277 ;\n",
+      "Epoch 940/1000, Cost: 2.2608\n",
+      " and the parameters are [-3.24590527  4.36525537] -5.758972312434481 ;\n",
+      "Epoch 940/1000, Cost: 3.3124\n",
+      " and the parameters are [-3.24583642  4.36523051] -5.7590245644233375 ;\n",
+      "Epoch 940/1000, Cost: 0.9873\n",
+      " and the parameters are [-3.24584112  4.36521697] -5.75904894728921 ;\n",
+      "Epoch 940/1000, Cost: 2.2372\n",
+      " and the parameters are [-3.24585801  4.36528662] -5.759003984325585 ;\n",
+      "Epoch 940/1000, Cost: 2.1817\n",
+      " and the parameters are [-3.24590932  4.3652125 ] -5.759060614564881 ;\n",
+      "Epoch 940/1000, Cost: 2.4136\n",
+      " and the parameters are [-3.24596799  4.36518138] -5.759079210972163 ;\n",
+      "Epoch 940/1000, Cost: 3.8464\n",
+      " and the parameters are [-3.24589971  4.36518884] -5.759110930419583 ;\n",
+      "Epoch 940/1000, Cost: 1.7639\n",
+      " and the parameters are [-3.24590577  4.36516221] -5.759149015866739 ;\n",
+      "Epoch 940/1000, Cost: 1.8089\n",
+      " and the parameters are [-3.24590936  4.36516415] -5.759170426493785 ;\n",
+      "Epoch 940/1000, Cost: 2.2006\n",
+      " and the parameters are [-3.24591809  4.36522011] -5.759133095532537 ;\n",
+      "Epoch 940/1000, Cost: 1.5684\n",
+      " and the parameters are [-3.24591188  4.36522586] -5.759156832895497 ;\n",
+      "Epoch 940/1000, Cost: 7.3092\n",
+      " and the parameters are [-3.24592798  4.36517449] -5.759167680523241 ;\n",
+      "Epoch 940/1000, Cost: 3.3082\n",
+      " and the parameters are [-3.24595889  4.36517005] -5.759181372454869 ;\n",
+      "Epoch 940/1000, Cost: 4.0215\n",
+      " and the parameters are [-3.24591068  4.36538741] -5.759066337954719 ;\n",
+      "Epoch 940/1000, Cost: 1.5318\n",
+      " and the parameters are [-3.24597207  4.36530271] -5.759119145733569 ;\n",
+      "Epoch 940/1000, Cost: 2.8983\n",
+      " and the parameters are [-3.24593499  4.36527524] -5.759182211144488 ;\n",
+      "Epoch 940/1000, Cost: 2.4951\n",
+      " and the parameters are [-3.24594377  4.36526264] -5.759201676960567 ;\n",
+      "Epoch 940/1000, Cost: 4.3430\n",
+      " and the parameters are [-3.24595625  4.36516306] -5.759264264665817 ;\n",
+      "Epoch 940/1000, Cost: 3.2233\n",
+      " and the parameters are [-3.24602508  4.36506605] -5.7593122951098685 ;\n",
+      "Epoch 940/1000, Cost: 3.6015\n",
+      " and the parameters are [-3.24601728  4.36512465] -5.7592962393551375 ;\n",
+      "Epoch 940/1000, Cost: 2.5972\n",
+      " and the parameters are [-3.24608384  4.36509677] -5.759294719046946 ;\n",
+      "Epoch 940/1000, Cost: 4.0743\n",
+      " and the parameters are [-3.24600631  4.36515899] -5.759307152876127 ;\n",
+      "Epoch 940/1000, Cost: 1.3554\n",
+      " and the parameters are [-3.24603625  4.36513328] -5.7593269074298945 ;\n",
+      "Epoch 940/1000, Cost: 1.2541\n",
+      " and the parameters are [-3.24604159  4.36514133] -5.759339176769365 ;\n",
+      "Epoch 940/1000, Cost: 3.4112\n",
+      " and the parameters are [-3.24606804  4.36518091] -5.759301103574607 ;\n",
+      "Epoch 940/1000, Cost: 3.0874\n",
+      " and the parameters are [-3.24607137  4.3652215 ] -5.759287712546786 ;\n",
+      "Epoch 940/1000, Cost: 2.5554\n",
+      " and the parameters are [-3.24604861  4.36526294] -5.759293189282088 ;\n",
+      "Epoch 940/1000, Cost: 6.7778\n",
+      " and the parameters are [-3.24601833  4.36528498] -5.75927307789231 ;\n",
+      "Epoch 940/1000, Cost: 2.3371\n",
+      " and the parameters are [-3.24606258  4.36531652] -5.759243316736192 ;\n",
+      "Epoch 950/1000, Cost: 4.8574\n",
+      " and the parameters are [-3.25370299  4.37486715] -5.772914525230795 ;\n",
+      "Epoch 950/1000, Cost: 2.2431\n",
+      " and the parameters are [-3.25368658  4.37490947] -5.772902161669581 ;\n",
+      "Epoch 950/1000, Cost: 10.6246\n",
+      " and the parameters are [-3.25374367  4.37468546] -5.772989918274378 ;\n",
+      "Epoch 950/1000, Cost: 1.6444\n",
+      " and the parameters are [-3.25378178  4.37463267] -5.773023126701416 ;\n",
+      "Epoch 950/1000, Cost: 4.6340\n",
+      " and the parameters are [-3.25377738  4.37463724] -5.773059260027927 ;\n",
+      "Epoch 950/1000, Cost: 4.4551\n",
+      " and the parameters are [-3.25376518  4.37465437] -5.773059967167481 ;\n",
+      "Epoch 950/1000, Cost: 4.1074\n",
+      " and the parameters are [-3.25380497  4.37454878] -5.7731164849137855 ;\n",
+      "Epoch 950/1000, Cost: 1.3267\n",
+      " and the parameters are [-3.25380498  4.37454985] -5.773135327248149 ;\n",
+      "Epoch 950/1000, Cost: 1.5539\n",
+      " and the parameters are [-3.25379507  4.37461194] -5.773115254819122 ;\n",
+      "Epoch 950/1000, Cost: 3.7960\n",
+      " and the parameters are [-3.25388002  4.37449742] -5.773172354947924 ;\n",
+      "Epoch 950/1000, Cost: 4.6011\n",
+      " and the parameters are [-3.25388799  4.374353  ] -5.773286543479161 ;\n",
+      "Epoch 950/1000, Cost: 7.3212\n",
+      " and the parameters are [-3.25404401  4.37424123] -5.773281491212209 ;\n",
+      "Epoch 950/1000, Cost: 3.0771\n",
+      " and the parameters are [-3.25407844  4.37431163] -5.773239472889405 ;\n",
+      "Epoch 950/1000, Cost: 2.7175\n",
+      " and the parameters are [-3.25409555  4.37431572] -5.77324739547504 ;\n",
+      "Epoch 950/1000, Cost: 4.9325\n",
+      " and the parameters are [-3.25409266  4.37424869] -5.773290874085983 ;\n",
+      "Epoch 950/1000, Cost: 4.6757\n",
+      " and the parameters are [-3.25409308  4.37412924] -5.7733656650439045 ;\n",
+      "Epoch 950/1000, Cost: 0.8111\n",
+      " and the parameters are [-3.25411062  4.37415447] -5.773351657698141 ;\n",
+      "Epoch 950/1000, Cost: 2.3504\n",
+      " and the parameters are [-3.25406264  4.37424934] -5.77332973801657 ;\n",
+      "Epoch 950/1000, Cost: 2.7145\n",
+      " and the parameters are [-3.25407975  4.37430367] -5.773297623885595 ;\n",
+      "Epoch 950/1000, Cost: 4.8096\n",
+      " and the parameters are [-3.25409792  4.37446371] -5.773180214632885 ;\n",
+      "Epoch 950/1000, Cost: 2.9377\n",
+      " and the parameters are [-3.25410301  4.37439817] -5.773245034001572 ;\n",
+      "Epoch 950/1000, Cost: 3.8522\n",
+      " and the parameters are [-3.25408103  4.37446764] -5.7732231311145075 ;\n",
+      "Epoch 950/1000, Cost: 1.6200\n",
+      " and the parameters are [-3.25409462  4.3744213 ] -5.773263146087827 ;\n",
+      "Epoch 950/1000, Cost: 1.6576\n",
+      " and the parameters are [-3.25405299  4.37446506] -5.773266403897243 ;\n",
+      "Epoch 950/1000, Cost: 0.7842\n",
+      " and the parameters are [-3.25405416  4.37446307] -5.773286335817666 ;\n",
+      "Epoch 950/1000, Cost: 3.1251\n",
+      " and the parameters are [-3.25412772  4.3744806 ] -5.773249300713997 ;\n",
+      "Epoch 950/1000, Cost: 3.6451\n",
+      " and the parameters are [-3.25418639  4.37446884] -5.773245941478286 ;\n",
+      "Epoch 950/1000, Cost: 3.8104\n",
+      " and the parameters are [-3.25423182  4.37440193] -5.773278133525851 ;\n",
+      "Epoch 950/1000, Cost: 1.8471\n",
+      " and the parameters are [-3.25420226  4.37442345] -5.7732960621191 ;\n",
+      "Epoch 950/1000, Cost: 3.7224\n",
+      " and the parameters are [-3.25416377  4.37434891] -5.773384785162946 ;\n",
+      "Epoch 950/1000, Cost: 5.5147\n",
+      " and the parameters are [-3.25413076  4.37422033] -5.773500782574704 ;\n",
+      "Epoch 950/1000, Cost: 3.3661\n",
+      " and the parameters are [-3.25412928  4.37423179] -5.773496872614786 ;\n",
+      "Epoch 950/1000, Cost: 2.2649\n",
+      " and the parameters are [-3.25413586  4.37427443] -5.773489876465128 ;\n",
+      "Epoch 950/1000, Cost: 0.7403\n",
+      " and the parameters are [-3.2541385   4.37432569] -5.773465657669619 ;\n",
+      "Epoch 950/1000, Cost: 5.8931\n",
+      " and the parameters are [-3.25410607  4.37435476] -5.773453581520457 ;\n",
+      "Epoch 950/1000, Cost: 2.2922\n",
+      " and the parameters are [-3.25414281  4.37434928] -5.773452910681613 ;\n",
+      "Epoch 950/1000, Cost: 2.3104\n",
+      " and the parameters are [-3.25414695  4.37435541] -5.7734592095450274 ;\n",
+      "Epoch 950/1000, Cost: 4.0066\n",
+      " and the parameters are [-3.254132    4.37442527] -5.773427478225473 ;\n",
+      "Epoch 950/1000, Cost: 4.1819\n",
+      " and the parameters are [-3.25416502  4.37443574] -5.773414392251518 ;\n",
+      "Epoch 950/1000, Cost: 3.3052\n",
+      " and the parameters are [-3.25420115  4.37432545] -5.773499294066749 ;\n",
+      "Epoch 950/1000, Cost: 1.5578\n",
+      " and the parameters are [-3.25417812  4.37440253] -5.77347845097956 ;\n",
+      "Epoch 950/1000, Cost: 3.4380\n",
+      " and the parameters are [-3.25419303  4.37436032] -5.773515705504106 ;\n",
+      "Epoch 950/1000, Cost: 7.6593\n",
+      " and the parameters are [-3.25424911  4.37422358] -5.773565224456077 ;\n",
+      "Epoch 950/1000, Cost: 0.9568\n",
+      " and the parameters are [-3.25427836  4.37420652] -5.773580390533966 ;\n",
+      "Epoch 950/1000, Cost: 2.0063\n",
+      " and the parameters are [-3.25427262  4.37426774] -5.773568261983241 ;\n",
+      "Epoch 950/1000, Cost: 2.4073\n",
+      " and the parameters are [-3.25419141  4.37433485] -5.77358168798137 ;\n",
+      "Epoch 950/1000, Cost: 0.6670\n",
+      " and the parameters are [-3.25420283  4.37436464] -5.773570281097293 ;\n",
+      "Epoch 950/1000, Cost: 2.9934\n",
+      " and the parameters are [-3.25416672  4.37436282] -5.773610591672124 ;\n",
+      "Epoch 950/1000, Cost: 4.2788\n",
+      " and the parameters are [-3.2542082   4.37424572] -5.773680440477133 ;\n",
+      "Epoch 950/1000, Cost: 5.6959\n",
+      " and the parameters are [-3.25414144  4.37420101] -5.773738790964957 ;\n",
+      "Epoch 950/1000, Cost: 3.1510\n",
+      " and the parameters are [-3.25416042  4.37424549] -5.773703304687735 ;\n",
+      "Epoch 950/1000, Cost: 1.2744\n",
+      " and the parameters are [-3.25414086  4.37430599] -5.773687803542537 ;\n",
+      "Epoch 950/1000, Cost: 1.3998\n",
+      " and the parameters are [-3.25414636  4.37438382] -5.7736469644408 ;\n",
+      "Epoch 950/1000, Cost: 1.4605\n",
+      " and the parameters are [-3.25414744  4.37434639] -5.773698944357555 ;\n",
+      "Epoch 950/1000, Cost: 2.2680\n",
+      " and the parameters are [-3.25411681  4.37443352] -5.773665052902618 ;\n",
+      "Epoch 950/1000, Cost: 0.5105\n",
+      " and the parameters are [-3.25412922  4.37444728] -5.773662687727408 ;\n",
+      "Epoch 950/1000, Cost: 1.8006\n",
+      " and the parameters are [-3.2542196   4.37440651] -5.773665277088618 ;\n",
+      "Epoch 950/1000, Cost: 3.6681\n",
+      " and the parameters are [-3.2542023   4.37445376] -5.773654057332499 ;\n",
+      "Epoch 950/1000, Cost: 0.8334\n",
+      " and the parameters are [-3.25421671  4.37446001] -5.773660191942403 ;\n",
+      "Epoch 950/1000, Cost: 1.7449\n",
+      " and the parameters are [-3.25421356  4.37453163] -5.773632178043185 ;\n",
+      "Epoch 950/1000, Cost: 4.9394\n",
+      " and the parameters are [-3.25421644  4.37459765] -5.773568863565849 ;\n",
+      "Epoch 950/1000, Cost: 1.3071\n",
+      " and the parameters are [-3.25418296  4.37464   ] -5.77357511502918 ;\n",
+      "Epoch 950/1000, Cost: 4.5908\n",
+      " and the parameters are [-3.25422221  4.37468396] -5.773524208841686 ;\n",
+      "Epoch 950/1000, Cost: 2.5119\n",
+      " and the parameters are [-3.25414113  4.37468283] -5.773586048335165 ;\n",
+      "Epoch 950/1000, Cost: 1.9550\n",
+      " and the parameters are [-3.25413894  4.37476738] -5.773553301876358 ;\n",
+      "Epoch 950/1000, Cost: 3.8285\n",
+      " and the parameters are [-3.25410612  4.37489176] -5.773481017777149 ;\n",
+      "Epoch 950/1000, Cost: 1.2180\n",
+      " and the parameters are [-3.25411416  4.37490302] -5.773492587577633 ;\n",
+      "Epoch 950/1000, Cost: 3.2641\n",
+      " and the parameters are [-3.2541455   4.37491456] -5.773472958335941 ;\n",
+      "Epoch 950/1000, Cost: 4.4525\n",
+      " and the parameters are [-3.25406518  4.37483681] -5.773583344380845 ;\n",
+      "Epoch 950/1000, Cost: 3.9765\n",
+      " and the parameters are [-3.25411107  4.37466869] -5.773690731354149 ;\n",
+      "Epoch 950/1000, Cost: 1.8620\n",
+      " and the parameters are [-3.25413372  4.37470427] -5.773672258164392 ;\n",
+      "Epoch 950/1000, Cost: 3.9592\n",
+      " and the parameters are [-3.25406363  4.3749015 ] -5.773580380487539 ;\n",
+      "Epoch 950/1000, Cost: 1.9275\n",
+      " and the parameters are [-3.2540671   4.37485518] -5.7736324203238185 ;\n",
+      "Epoch 950/1000, Cost: 1.0064\n",
+      " and the parameters are [-3.25406498  4.37489578] -5.773616871782496 ;\n",
+      "Epoch 950/1000, Cost: 3.3473\n",
+      " and the parameters are [-3.25406634  4.37500983] -5.773538507170248 ;\n",
+      "Epoch 950/1000, Cost: 1.2376\n",
+      " and the parameters are [-3.25408577  4.37496999] -5.773572296995668 ;\n",
+      "Epoch 950/1000, Cost: 2.1709\n",
+      " and the parameters are [-3.25407567  4.37494711] -5.773607558824544 ;\n",
+      "Epoch 950/1000, Cost: 4.7775\n",
+      " and the parameters are [-3.25407652  4.37512325] -5.773495304254954 ;\n",
+      "Epoch 950/1000, Cost: 4.0748\n",
+      " and the parameters are [-3.25416237  4.37506487] -5.773500804162766 ;\n",
+      "Epoch 950/1000, Cost: 1.6833\n",
+      " and the parameters are [-3.25414688  4.37509985] -5.773507774008802 ;\n",
+      "Epoch 950/1000, Cost: 6.9115\n",
+      " and the parameters are [-3.2542347   4.37505275] -5.773491213482155 ;\n",
+      "Epoch 950/1000, Cost: 6.9429\n",
+      " and the parameters are [-3.25417393  4.37510808] -5.7734613203419585 ;\n",
+      "Epoch 950/1000, Cost: 5.9885\n",
+      " and the parameters are [-3.25414075  4.37519164] -5.773408476380177 ;\n",
+      "Epoch 950/1000, Cost: 2.2818\n",
+      " and the parameters are [-3.25409912  4.37523979] -5.773416541222214 ;\n",
+      "Epoch 950/1000, Cost: 2.1921\n",
+      " and the parameters are [-3.25404753  4.3753571 ] -5.77336892329995 ;\n",
+      "Epoch 950/1000, Cost: 1.1962\n",
+      " and the parameters are [-3.25408246  4.37537818] -5.773355704637811 ;\n",
+      "Epoch 950/1000, Cost: 4.1239\n",
+      " and the parameters are [-3.25413369  4.37527482] -5.773419983071015 ;\n",
+      "Epoch 950/1000, Cost: 1.5967\n",
+      " and the parameters are [-3.25414576  4.37534095] -5.773390251213588 ;\n",
+      "Epoch 950/1000, Cost: 2.1727\n",
+      " and the parameters are [-3.2540723   4.37535656] -5.773437515611395 ;\n",
+      "Epoch 950/1000, Cost: 2.3685\n",
+      " and the parameters are [-3.25405554  4.37546683] -5.773381207490564 ;\n",
+      "Epoch 950/1000, Cost: 1.8555\n",
+      " and the parameters are [-3.25403345  4.37546115] -5.773422660326039 ;\n",
+      "Epoch 950/1000, Cost: 1.0761\n",
+      " and the parameters are [-3.25405236  4.37544085] -5.773450051262734 ;\n",
+      "Epoch 950/1000, Cost: 2.4316\n",
+      " and the parameters are [-3.25404557  4.37542022] -5.7734947470337445 ;\n",
+      "Epoch 950/1000, Cost: 2.2619\n",
+      " and the parameters are [-3.25406564  4.37542225] -5.7735072223367 ;\n",
+      "Epoch 950/1000, Cost: 2.6674\n",
+      " and the parameters are [-3.25413514  4.37533073] -5.773552859375127 ;\n",
+      "Epoch 950/1000, Cost: 2.4890\n",
+      " and the parameters are [-3.25412635  4.37540473] -5.773512278487664 ;\n",
+      "Epoch 950/1000, Cost: 3.1719\n",
+      " and the parameters are [-3.2541308   4.37544702] -5.773498628588455 ;\n",
+      "Epoch 950/1000, Cost: 2.2670\n",
+      " and the parameters are [-3.25418925  4.37536433] -5.773546392409756 ;\n",
+      "Epoch 950/1000, Cost: 3.5596\n",
+      " and the parameters are [-3.25419902  4.37548835] -5.773459836304402 ;\n",
+      "Epoch 950/1000, Cost: 2.9314\n",
+      " and the parameters are [-3.25422632  4.3753634 ] -5.773541832858919 ;\n",
+      "Epoch 950/1000, Cost: 3.6037\n",
+      " and the parameters are [-3.25424698  4.37544426] -5.773492909831162 ;\n",
+      "Epoch 950/1000, Cost: 3.9390\n",
+      " and the parameters are [-3.25426784  4.37537338] -5.773554963212317 ;\n",
+      "Epoch 950/1000, Cost: 2.4857\n",
+      " and the parameters are [-3.25429563  4.3753756 ] -5.773549537653831 ;\n",
+      "Epoch 950/1000, Cost: 4.7678\n",
+      " and the parameters are [-3.25431025  4.37550967] -5.773452134979078 ;\n",
+      "Epoch 950/1000, Cost: 1.8684\n",
+      " and the parameters are [-3.25423794  4.37555   ] -5.773483706474688 ;\n",
+      "Epoch 950/1000, Cost: 1.5335\n",
+      " and the parameters are [-3.2542521   4.37554441] -5.773510073005961 ;\n",
+      "Epoch 950/1000, Cost: 3.3511\n",
+      " and the parameters are [-3.254257    4.37554686] -5.773518298125968 ;\n",
+      "Epoch 950/1000, Cost: 3.1479\n",
+      " and the parameters are [-3.25422549  4.37559145] -5.7735293987803304 ;\n",
+      "Epoch 950/1000, Cost: 0.7620\n",
+      " and the parameters are [-3.25422661  4.3756384 ] -5.773510287539007 ;\n",
+      "Epoch 950/1000, Cost: 1.7664\n",
+      " and the parameters are [-3.25427303  4.37565328] -5.773491044160633 ;\n",
+      "Epoch 950/1000, Cost: 3.7707\n",
+      " and the parameters are [-3.2543485   4.37562296] -5.773474728190715 ;\n",
+      "Epoch 950/1000, Cost: 0.8691\n",
+      " and the parameters are [-3.2543685   4.37566624] -5.773446573694108 ;\n",
+      "Epoch 950/1000, Cost: 2.1030\n",
+      " and the parameters are [-3.25443906  4.37565968] -5.773440533180793 ;\n",
+      "Epoch 950/1000, Cost: 2.2926\n",
+      " and the parameters are [-3.25443255  4.37575351] -5.773399271697827 ;\n",
+      "Epoch 950/1000, Cost: 2.0826\n",
+      " and the parameters are [-3.25439646  4.37575112] -5.773440447275458 ;\n",
+      "Epoch 950/1000, Cost: 0.7071\n",
+      " and the parameters are [-3.25439902  4.37575914] -5.773449747995522 ;\n",
+      "Epoch 950/1000, Cost: 3.1295\n",
+      " and the parameters are [-3.25444967  4.37572703] -5.773464398177161 ;\n",
+      "Epoch 950/1000, Cost: 1.3994\n",
+      " and the parameters are [-3.25442173  4.37578008] -5.773458791271763 ;\n",
+      "Epoch 950/1000, Cost: 3.0083\n",
+      " and the parameters are [-3.25440936  4.37588555] -5.773397764123926 ;\n",
+      "Epoch 950/1000, Cost: 2.1252\n",
+      " and the parameters are [-3.25444893  4.37584697] -5.7734369474358775 ;\n",
+      "Epoch 950/1000, Cost: 4.9903\n",
+      " and the parameters are [-3.2544044   4.37577973] -5.77352452778673 ;\n",
+      "Epoch 950/1000, Cost: 2.1136\n",
+      " and the parameters are [-3.25442248  4.3758136 ] -5.773493769036654 ;\n",
+      "Epoch 950/1000, Cost: 3.0977\n",
+      " and the parameters are [-3.25452811  4.37570887] -5.77354178235481 ;\n",
+      "Epoch 950/1000, Cost: 3.7347\n",
+      " and the parameters are [-3.25456199  4.37579397] -5.773483942296027 ;\n",
+      "Epoch 950/1000, Cost: 4.5340\n",
+      " and the parameters are [-3.25451549  4.37577022] -5.773538504874132 ;\n",
+      "Epoch 950/1000, Cost: 2.5397\n",
+      " and the parameters are [-3.25451982  4.37578084] -5.773544037819432 ;\n",
+      "Epoch 950/1000, Cost: 2.6061\n",
+      " and the parameters are [-3.25451162  4.3758161 ] -5.773548970465131 ;\n",
+      "Epoch 950/1000, Cost: 6.2029\n",
+      " and the parameters are [-3.25454283  4.37565919] -5.773633408988635 ;\n",
+      "Epoch 950/1000, Cost: 2.1630\n",
+      " and the parameters are [-3.25459246  4.3756837 ] -5.773604812724974 ;\n",
+      "Epoch 950/1000, Cost: 1.4052\n",
+      " and the parameters are [-3.25458312  4.37576399] -5.77356940093465 ;\n",
+      "Epoch 950/1000, Cost: 1.1737\n",
+      " and the parameters are [-3.25454915  4.37576887] -5.773596144875093 ;\n",
+      "Epoch 950/1000, Cost: 1.9046\n",
+      " and the parameters are [-3.25453623  4.37582131] -5.773590647282391 ;\n",
+      "Epoch 950/1000, Cost: 0.9159\n",
+      " and the parameters are [-3.25453695  4.37584179] -5.773592934059673 ;\n",
+      "Epoch 950/1000, Cost: 5.5490\n",
+      " and the parameters are [-3.25452184  4.37597043] -5.7734885916511995 ;\n",
+      "Epoch 950/1000, Cost: 1.7873\n",
+      " and the parameters are [-3.25447575  4.37607424] -5.773460759206401 ;\n",
+      "Epoch 950/1000, Cost: 3.1398\n",
+      " and the parameters are [-3.25451835  4.37615809] -5.7734001797227785 ;\n",
+      "Epoch 950/1000, Cost: 5.7740\n",
+      " and the parameters are [-3.25448695  4.37609454] -5.7734583971351565 ;\n",
+      "Epoch 950/1000, Cost: 9.4214\n",
+      " and the parameters are [-3.25449473  4.37612583] -5.773383631924986 ;\n",
+      "Epoch 950/1000, Cost: 1.2249\n",
+      " and the parameters are [-3.25449413  4.37618688] -5.773353277543782 ;\n",
+      "Epoch 950/1000, Cost: 1.2958\n",
+      " and the parameters are [-3.25451883  4.37615328] -5.773390759564894 ;\n",
+      "Epoch 950/1000, Cost: 2.1836\n",
+      " and the parameters are [-3.25451032  4.37615261] -5.773407329282874 ;\n",
+      "Epoch 950/1000, Cost: 3.5400\n",
+      " and the parameters are [-3.25454058  4.37610081] -5.773453574074167 ;\n",
+      "Epoch 950/1000, Cost: 4.7298\n",
+      " and the parameters are [-3.25454851  4.37606376] -5.773509506271874 ;\n",
+      "Epoch 950/1000, Cost: 3.5718\n",
+      " and the parameters are [-3.25451097  4.37615244] -5.7734738412738045 ;\n",
+      "Epoch 950/1000, Cost: 7.7085\n",
+      " and the parameters are [-3.25449856  4.37618487] -5.773435291611886 ;\n",
+      "Epoch 950/1000, Cost: 9.0182\n",
+      " and the parameters are [-3.25446625  4.37621355] -5.7733931378788235 ;\n",
+      "Epoch 950/1000, Cost: 4.1509\n",
+      " and the parameters are [-3.25450014  4.37614034] -5.773430422059366 ;\n",
+      "Epoch 950/1000, Cost: 2.1339\n",
+      " and the parameters are [-3.25447168  4.37616212] -5.773453964119469 ;\n",
+      "Epoch 950/1000, Cost: 1.4734\n",
+      " and the parameters are [-3.25444192  4.37625349] -5.773417114069433 ;\n",
+      "Epoch 950/1000, Cost: 2.4133\n",
+      " and the parameters are [-3.25442012  4.3762736 ] -5.77343396221432 ;\n",
+      "Epoch 950/1000, Cost: 1.7468\n",
+      " and the parameters are [-3.25444194  4.37629936] -5.773417514272954 ;\n",
+      "Epoch 950/1000, Cost: 4.0851\n",
+      " and the parameters are [-3.25452365  4.37625353] -5.773436516222065 ;\n",
+      "Epoch 950/1000, Cost: 3.8001\n",
+      " and the parameters are [-3.25452059  4.37627644] -5.773423879189915 ;\n",
+      "Epoch 950/1000, Cost: 3.8586\n",
+      " and the parameters are [-3.25453002  4.3762283 ] -5.7734439785715805 ;\n",
+      "Epoch 950/1000, Cost: 2.6946\n",
+      " and the parameters are [-3.25449918  4.37621731] -5.773481898651909 ;\n",
+      "Epoch 950/1000, Cost: 1.5007\n",
+      " and the parameters are [-3.25448668  4.37622119] -5.773504456358541 ;\n",
+      "Epoch 950/1000, Cost: 1.7208\n",
+      " and the parameters are [-3.25451886  4.37621266] -5.77351673903971 ;\n",
+      "Epoch 950/1000, Cost: 1.0417\n",
+      " and the parameters are [-3.25454237  4.37622766] -5.773508744651278 ;\n",
+      "Epoch 950/1000, Cost: 6.5877\n",
+      " and the parameters are [-3.25456492  4.37613864] -5.773551213983529 ;\n",
+      "Epoch 950/1000, Cost: 3.7141\n",
+      " and the parameters are [-3.25452864  4.37619337] -5.773547502141575 ;\n",
+      "Epoch 950/1000, Cost: 3.4282\n",
+      " and the parameters are [-3.25458682  4.37616683] -5.773555224482005 ;\n",
+      "Epoch 950/1000, Cost: 3.2848\n",
+      " and the parameters are [-3.25458275  4.37613664] -5.7735972039743055 ;\n",
+      "Epoch 950/1000, Cost: 2.1700\n",
+      " and the parameters are [-3.25457763  4.3761033 ] -5.773641648207515 ;\n",
+      "Epoch 950/1000, Cost: 1.5919\n",
+      " and the parameters are [-3.25460093  4.37606064] -5.773684598685626 ;\n",
+      "Epoch 950/1000, Cost: 1.1110\n",
+      " and the parameters are [-3.25463041  4.37602222] -5.773716576339457 ;\n",
+      "Epoch 950/1000, Cost: 2.3718\n",
+      " and the parameters are [-3.25458706  4.3761    ] -5.773698571630772 ;\n",
+      "Epoch 950/1000, Cost: 1.7278\n",
+      " and the parameters are [-3.25462648  4.37601675] -5.773743354529659 ;\n",
+      "Epoch 950/1000, Cost: 3.0943\n",
+      " and the parameters are [-3.25471026  4.37606365] -5.7736795211838245 ;\n",
+      "Epoch 950/1000, Cost: 1.2899\n",
+      " and the parameters are [-3.25466033  4.37613341] -5.7736783235503 ;\n",
+      "Epoch 950/1000, Cost: 1.1675\n",
+      " and the parameters are [-3.2546221   4.37614432] -5.773712137086397 ;\n",
+      "Epoch 950/1000, Cost: 3.0489\n",
+      " and the parameters are [-3.25461236  4.37618668] -5.773703423569044 ;\n",
+      "Epoch 950/1000, Cost: 2.3112\n",
+      " and the parameters are [-3.25463557  4.37613827] -5.7737501685822314 ;\n",
+      "Epoch 950/1000, Cost: 1.0333\n",
+      " and the parameters are [-3.25465173  4.37613176] -5.773763502268284 ;\n",
+      "Epoch 950/1000, Cost: 2.9411\n",
+      " and the parameters are [-3.25460788  4.37613394] -5.773801456090868 ;\n",
+      "Epoch 950/1000, Cost: 5.1975\n",
+      " and the parameters are [-3.2545126   4.37618234] -5.773804683473874 ;\n",
+      "Epoch 950/1000, Cost: 1.3636\n",
+      " and the parameters are [-3.25452254  4.37620553] -5.773805531632146 ;\n",
+      "Epoch 950/1000, Cost: 5.5323\n",
+      " and the parameters are [-3.25452841  4.37622707] -5.773769279155968 ;\n",
+      "Epoch 950/1000, Cost: 2.2879\n",
+      " and the parameters are [-3.25451722  4.37628137] -5.773756042972785 ;\n",
+      "Epoch 950/1000, Cost: 1.2145\n",
+      " and the parameters are [-3.25448852  4.37627797] -5.773796153195994 ;\n",
+      "Epoch 950/1000, Cost: 5.1371\n",
+      " and the parameters are [-3.25439739  4.3763261 ] -5.773808672857137 ;\n",
+      "Epoch 950/1000, Cost: 2.5433\n",
+      " and the parameters are [-3.25448777  4.37632345] -5.7737779385125085 ;\n",
+      "Epoch 950/1000, Cost: 2.0130\n",
+      " and the parameters are [-3.25447418  4.37640599] -5.773745252228431 ;\n",
+      "Epoch 950/1000, Cost: 1.4565\n",
+      " and the parameters are [-3.25446114  4.37638721] -5.77378914599079 ;\n",
+      "Epoch 950/1000, Cost: 1.3230\n",
+      " and the parameters are [-3.25449067  4.376374  ] -5.773803517924444 ;\n",
+      "Epoch 950/1000, Cost: 3.5409\n",
+      " and the parameters are [-3.25447902  4.376313  ] -5.7738729402907145 ;\n",
+      "Epoch 950/1000, Cost: 1.9207\n",
+      " and the parameters are [-3.25453894  4.37619848] -5.7739424502102725 ;\n",
+      "Epoch 950/1000, Cost: 2.1934\n",
+      " and the parameters are [-3.25452861  4.37620437] -5.773970283373798 ;\n",
+      "Epoch 950/1000, Cost: 2.6376\n",
+      " and the parameters are [-3.25446381  4.37627945] -5.773969391285519 ;\n",
+      "Epoch 950/1000, Cost: 3.8014\n",
+      " and the parameters are [-3.25452343  4.37623721] -5.773986554692095 ;\n",
+      "Epoch 950/1000, Cost: 1.5884\n",
+      " and the parameters are [-3.25455552  4.37620739] -5.774015419565772 ;\n",
+      "Epoch 950/1000, Cost: 2.4376\n",
+      " and the parameters are [-3.2546337   4.37618041] -5.774018438773403 ;\n",
+      "Epoch 950/1000, Cost: 3.3685\n",
+      " and the parameters are [-3.25460896  4.37613186] -5.774098020080069 ;\n",
+      "Epoch 950/1000, Cost: 2.3731\n",
+      " and the parameters are [-3.2546332   4.37606563] -5.774155956805866 ;\n",
+      "Epoch 950/1000, Cost: 1.7487\n",
+      " and the parameters are [-3.25468878  4.37607448] -5.774132055040809 ;\n",
+      "Epoch 950/1000, Cost: 4.1332\n",
+      " and the parameters are [-3.25462057  4.37604515] -5.774188648626371 ;\n",
+      "Epoch 950/1000, Cost: 1.7671\n",
+      " and the parameters are [-3.25460014  4.37606823] -5.7742024786722705 ;\n",
+      "Epoch 950/1000, Cost: 4.1825\n",
+      " and the parameters are [-3.25456174  4.37604832] -5.774252049958638 ;\n",
+      "Epoch 950/1000, Cost: 2.3533\n",
+      " and the parameters are [-3.25453056  4.37607892] -5.774272144851921 ;\n",
+      "Epoch 950/1000, Cost: 3.3194\n",
+      " and the parameters are [-3.25452603  4.3761988 ] -5.774209450361853 ;\n",
+      "Epoch 950/1000, Cost: 4.4233\n",
+      " and the parameters are [-3.25452425  4.37606064] -5.7743318492548905 ;\n",
+      "Epoch 960/1000, Cost: 7.2059\n",
+      " and the parameters are [-3.26206886  4.3855175 ] -5.7878378543973605 ;\n",
+      "Epoch 960/1000, Cost: 4.5161\n",
+      " and the parameters are [-3.26204209  4.38539242] -5.787934382947161 ;\n",
+      "Epoch 960/1000, Cost: 0.9241\n",
+      " and the parameters are [-3.26205769  4.38541745] -5.787926206790391 ;\n",
+      "Epoch 960/1000, Cost: 1.6939\n",
+      " and the parameters are [-3.26208338  4.38535007] -5.787973924908897 ;\n",
+      "Epoch 960/1000, Cost: 3.2158\n",
+      " and the parameters are [-3.26206504  4.38551057] -5.787883386507404 ;\n",
+      "Epoch 960/1000, Cost: 5.3358\n",
+      " and the parameters are [-3.26212354  4.38539703] -5.78793570079405 ;\n",
+      "Epoch 960/1000, Cost: 2.0275\n",
+      " and the parameters are [-3.26210489  4.38548541] -5.787893787891211 ;\n",
+      "Epoch 960/1000, Cost: 1.5078\n",
+      " and the parameters are [-3.2620745   4.38555215] -5.787887305086994 ;\n",
+      "Epoch 960/1000, Cost: 4.1230\n",
+      " and the parameters are [-3.26218673  4.3854773 ] -5.787881550913351 ;\n",
+      "Epoch 960/1000, Cost: 1.8691\n",
+      " and the parameters are [-3.26220166  4.38547351] -5.78789872482714 ;\n",
+      "Epoch 960/1000, Cost: 1.7333\n",
+      " and the parameters are [-3.26220634  4.38548402] -5.7879143040496075 ;\n",
+      "Epoch 960/1000, Cost: 2.2110\n",
+      " and the parameters are [-3.26220516  4.38552348] -5.787917793248135 ;\n",
+      "Epoch 960/1000, Cost: 2.2892\n",
+      " and the parameters are [-3.2621927   4.38556776] -5.787910447123705 ;\n",
+      "Epoch 960/1000, Cost: 2.7074\n",
+      " and the parameters are [-3.26220822  4.38553761] -5.787946344994536 ;\n",
+      "Epoch 960/1000, Cost: 1.9367\n",
+      " and the parameters are [-3.2622339   4.38554854] -5.787952832687791 ;\n",
+      "Epoch 960/1000, Cost: 3.8181\n",
+      " and the parameters are [-3.26224713  4.38553648] -5.787962007216392 ;\n",
+      "Epoch 960/1000, Cost: 2.8640\n",
+      " and the parameters are [-3.26225732  4.38546529] -5.788033016708427 ;\n",
+      "Epoch 960/1000, Cost: 2.6210\n",
+      " and the parameters are [-3.26223402  4.38542387] -5.788087382189624 ;\n",
+      "Epoch 960/1000, Cost: 2.5760\n",
+      " and the parameters are [-3.26226146  4.38548762] -5.788040418625259 ;\n",
+      "Epoch 960/1000, Cost: 7.2658\n",
+      " and the parameters are [-3.26224269  4.38542402] -5.788084062724242 ;\n",
+      "Epoch 960/1000, Cost: 4.7161\n",
+      " and the parameters are [-3.26218564  4.38555507] -5.7880291469729475 ;\n",
+      "Epoch 960/1000, Cost: 1.3724\n",
+      " and the parameters are [-3.26219272  4.38563777] -5.787986762253429 ;\n",
+      "Epoch 960/1000, Cost: 1.7367\n",
+      " and the parameters are [-3.26215556  4.38567638] -5.787999359343907 ;\n",
+      "Epoch 960/1000, Cost: 2.0484\n",
+      " and the parameters are [-3.2621538   4.38574395] -5.787976297279192 ;\n",
+      "Epoch 960/1000, Cost: 2.1820\n",
+      " and the parameters are [-3.26219505  4.3857186 ] -5.787997470672006 ;\n",
+      "Epoch 960/1000, Cost: 3.1511\n",
+      " and the parameters are [-3.26216065  4.38582004] -5.787964156134095 ;\n",
+      "Epoch 960/1000, Cost: 8.3399\n",
+      " and the parameters are [-3.26214562  4.38553276] -5.788164531757695 ;\n",
+      "Epoch 960/1000, Cost: 4.1259\n",
+      " and the parameters are [-3.2620888   4.38555359] -5.788190954491998 ;\n",
+      "Epoch 960/1000, Cost: 4.2754\n",
+      " and the parameters are [-3.26206821  4.38553109] -5.788231932141985 ;\n",
+      "Epoch 960/1000, Cost: 2.5920\n",
+      " and the parameters are [-3.26206054  4.3855357 ] -5.7882548437928305 ;\n",
+      "Epoch 960/1000, Cost: 1.7514\n",
+      " and the parameters are [-3.26203153  4.38555585] -5.788282184957834 ;\n",
+      "Epoch 960/1000, Cost: 2.0811\n",
+      " and the parameters are [-3.26201827  4.38555716] -5.788307886110699 ;\n",
+      "Epoch 960/1000, Cost: 3.7953\n",
+      " and the parameters are [-3.26208394  4.38550897] -5.788310561217499 ;\n",
+      "Epoch 960/1000, Cost: 2.0080\n",
+      " and the parameters are [-3.26209816  4.3854665 ] -5.788358639139913 ;\n",
+      "Epoch 960/1000, Cost: 2.5198\n",
+      " and the parameters are [-3.26212308  4.38546182] -5.788367240241886 ;\n",
+      "Epoch 960/1000, Cost: 2.2521\n",
+      " and the parameters are [-3.26209546  4.38549504] -5.788382467964885 ;\n",
+      "Epoch 960/1000, Cost: 7.7873\n",
+      " and the parameters are [-3.2621311   4.38533474] -5.788461066365083 ;\n",
+      "Epoch 960/1000, Cost: 1.9866\n",
+      " and the parameters are [-3.26214674  4.38527953] -5.788504994570638 ;\n",
+      "Epoch 960/1000, Cost: 0.9597\n",
+      " and the parameters are [-3.26214362  4.38533622] -5.788483618154292 ;\n",
+      "Epoch 960/1000, Cost: 5.3313\n",
+      " and the parameters are [-3.2622046   4.38535682] -5.78843444894005 ;\n",
+      "Epoch 960/1000, Cost: 3.1121\n",
+      " and the parameters are [-3.26228744  4.38520761] -5.788508727720919 ;\n",
+      "Epoch 960/1000, Cost: 7.9474\n",
+      " and the parameters are [-3.26224901  4.38505158] -5.788628699162031 ;\n",
+      "Epoch 960/1000, Cost: 3.3768\n",
+      " and the parameters are [-3.26227073  4.38508956] -5.788595484669726 ;\n",
+      "Epoch 960/1000, Cost: 5.2939\n",
+      " and the parameters are [-3.26226859  4.38511453] -5.788573612415283 ;\n",
+      "Epoch 960/1000, Cost: 2.6255\n",
+      " and the parameters are [-3.26230065  4.38506279] -5.788613928809764 ;\n",
+      "Epoch 960/1000, Cost: 4.7616\n",
+      " and the parameters are [-3.26233678  4.38498842] -5.788663753536166 ;\n",
+      "Epoch 960/1000, Cost: 3.6252\n",
+      " and the parameters are [-3.26233178  4.3850646 ] -5.788607615585483 ;\n",
+      "Epoch 960/1000, Cost: 4.7127\n",
+      " and the parameters are [-3.26223081  4.38525794] -5.788523296185368 ;\n",
+      "Epoch 960/1000, Cost: 1.6496\n",
+      " and the parameters are [-3.26224982  4.38521825] -5.788556270109089 ;\n",
+      "Epoch 960/1000, Cost: 7.2583\n",
+      " and the parameters are [-3.26235313  4.38519452] -5.788504609180894 ;\n",
+      "Epoch 960/1000, Cost: 1.0105\n",
+      " and the parameters are [-3.26236182  4.38518164] -5.788527549568188 ;\n",
+      "Epoch 960/1000, Cost: 1.8900\n",
+      " and the parameters are [-3.26237066  4.38519823] -5.788532773761489 ;\n",
+      "Epoch 960/1000, Cost: 7.4174\n",
+      " and the parameters are [-3.26227942  4.38533914] -5.788457358845325 ;\n",
+      "Epoch 960/1000, Cost: 3.1346\n",
+      " and the parameters are [-3.2623489   4.38535342] -5.788418762680318 ;\n",
+      "Epoch 960/1000, Cost: 2.6419\n",
+      " and the parameters are [-3.26237597  4.38529265] -5.788473749421961 ;\n",
+      "Epoch 960/1000, Cost: 1.2220\n",
+      " and the parameters are [-3.26240072  4.38532559] -5.788446607023022 ;\n",
+      "Epoch 960/1000, Cost: 2.1331\n",
+      " and the parameters are [-3.26239444  4.38531376] -5.788487056530411 ;\n",
+      "Epoch 960/1000, Cost: 7.3783\n",
+      " and the parameters are [-3.26249091  4.3851711 ] -5.7885212514843065 ;\n",
+      "Epoch 960/1000, Cost: 2.8329\n",
+      " and the parameters are [-3.26255367  4.38518322] -5.788492734121928 ;\n",
+      "Epoch 960/1000, Cost: 1.8786\n",
+      " and the parameters are [-3.26255326  4.38523335] -5.788475560878529 ;\n",
+      "Epoch 960/1000, Cost: 1.4556\n",
+      " and the parameters are [-3.26255068  4.38520734] -5.788512697001083 ;\n",
+      "Epoch 960/1000, Cost: 3.9377\n",
+      " and the parameters are [-3.26258141  4.38512702] -5.78857459781029 ;\n",
+      "Epoch 960/1000, Cost: 2.6878\n",
+      " and the parameters are [-3.26259073  4.38522803] -5.788519910067495 ;\n",
+      "Epoch 960/1000, Cost: 1.9228\n",
+      " and the parameters are [-3.26260298  4.38520096] -5.788540837748327 ;\n",
+      "Epoch 960/1000, Cost: 2.8370\n",
+      " and the parameters are [-3.26255433  4.38526919] -5.788527129395904 ;\n",
+      "Epoch 960/1000, Cost: 1.6987\n",
+      " and the parameters are [-3.26255366  4.38529361] -5.7885366456184 ;\n",
+      "Epoch 960/1000, Cost: 4.7121\n",
+      " and the parameters are [-3.26249003  4.38537974] -5.7885086910727175 ;\n",
+      "Epoch 960/1000, Cost: 1.5300\n",
+      " and the parameters are [-3.26246896  4.38537289] -5.788549503148276 ;\n",
+      "Epoch 960/1000, Cost: 5.2062\n",
+      " and the parameters are [-3.26240659  4.38552346] -5.788451487281648 ;\n",
+      "Epoch 960/1000, Cost: 1.1201\n",
+      " and the parameters are [-3.26237855  4.38557653] -5.78844673140083 ;\n",
+      "Epoch 960/1000, Cost: 1.5920\n",
+      " and the parameters are [-3.26237782  4.38560508] -5.788444175816262 ;\n",
+      "Epoch 960/1000, Cost: 1.4334\n",
+      " and the parameters are [-3.26237371  4.38568032] -5.788405081647285 ;\n",
+      "Epoch 960/1000, Cost: 5.1239\n",
+      " and the parameters are [-3.26237358  4.38559778] -5.788477740062695 ;\n",
+      "Epoch 960/1000, Cost: 1.9402\n",
+      " and the parameters are [-3.26233353  4.38571521] -5.7884304751896964 ;\n",
+      "Epoch 960/1000, Cost: 2.4891\n",
+      " and the parameters are [-3.26237306  4.38576842] -5.788387184043685 ;\n",
+      "Epoch 960/1000, Cost: 2.0075\n",
+      " and the parameters are [-3.26242618  4.385753  ] -5.788394053068906 ;\n",
+      "Epoch 960/1000, Cost: 5.1846\n",
+      " and the parameters are [-3.26243223  4.38564535] -5.7884594565992025 ;\n",
+      "Epoch 960/1000, Cost: 1.9398\n",
+      " and the parameters are [-3.26242151  4.38572002] -5.7884215354240185 ;\n",
+      "Epoch 960/1000, Cost: 1.6055\n",
+      " and the parameters are [-3.26237435  4.38583235] -5.788378168626799 ;\n",
+      "Epoch 960/1000, Cost: 4.1017\n",
+      " and the parameters are [-3.26240847  4.38588553] -5.788322580943967 ;\n",
+      "Epoch 960/1000, Cost: 1.2597\n",
+      " and the parameters are [-3.26237379  4.38595095] -5.788313933307898 ;\n",
+      "Epoch 960/1000, Cost: 3.0781\n",
+      " and the parameters are [-3.26239899  4.3858187 ] -5.78840755829734 ;\n",
+      "Epoch 960/1000, Cost: 3.6469\n",
+      " and the parameters are [-3.26238832  4.38582065] -5.788436672818328 ;\n",
+      "Epoch 960/1000, Cost: 2.3503\n",
+      " and the parameters are [-3.26247468  4.38572069] -5.788479394392067 ;\n",
+      "Epoch 960/1000, Cost: 3.1774\n",
+      " and the parameters are [-3.2625187   4.38574565] -5.788453395949168 ;\n",
+      "Epoch 960/1000, Cost: 3.2029\n",
+      " and the parameters are [-3.26253462  4.38577057] -5.788436678970091 ;\n",
+      "Epoch 960/1000, Cost: 2.0995\n",
+      " and the parameters are [-3.26252165  4.38581573] -5.7884436053994675 ;\n",
+      "Epoch 960/1000, Cost: 5.0668\n",
+      " and the parameters are [-3.26253561  4.38581667] -5.7884412062073345 ;\n",
+      "Epoch 960/1000, Cost: 1.2153\n",
+      " and the parameters are [-3.26256396  4.38581113] -5.788450647748081 ;\n",
+      "Epoch 960/1000, Cost: 1.8920\n",
+      " and the parameters are [-3.26256099  4.38584052] -5.788448509523361 ;\n",
+      "Epoch 960/1000, Cost: 1.2795\n",
+      " and the parameters are [-3.26255808  4.3858206 ] -5.788489305581005 ;\n",
+      "Epoch 960/1000, Cost: 1.8383\n",
+      " and the parameters are [-3.26257941  4.38575948] -5.788545418704793 ;\n",
+      "Epoch 960/1000, Cost: 1.1563\n",
+      " and the parameters are [-3.26256137  4.38575429] -5.78857651593161 ;\n",
+      "Epoch 960/1000, Cost: 1.7663\n",
+      " and the parameters are [-3.26256811  4.38571145] -5.788630737854889 ;\n",
+      "Epoch 960/1000, Cost: 5.0113\n",
+      " and the parameters are [-3.26259182  4.38577685] -5.788586993455003 ;\n",
+      "Epoch 960/1000, Cost: 1.0015\n",
+      " and the parameters are [-3.26261668  4.38577672] -5.788594784706217 ;\n",
+      "Epoch 960/1000, Cost: 0.8123\n",
+      " and the parameters are [-3.26262496  4.38578794] -5.788599586539652 ;\n",
+      "Epoch 960/1000, Cost: 2.1853\n",
+      " and the parameters are [-3.26261898  4.38579358] -5.788625944251694 ;\n",
+      "Epoch 960/1000, Cost: 4.8346\n",
+      " and the parameters are [-3.26252448  4.38590415] -5.7886042990526505 ;\n",
+      "Epoch 960/1000, Cost: 4.8572\n",
+      " and the parameters are [-3.26249738  4.38592464] -5.78862733673148 ;\n",
+      "Epoch 960/1000, Cost: 0.4992\n",
+      " and the parameters are [-3.26250719  4.38591805] -5.788639612640371 ;\n",
+      "Epoch 960/1000, Cost: 5.5399\n",
+      " and the parameters are [-3.26250378  4.38599931] -5.788569358516573 ;\n",
+      "Epoch 960/1000, Cost: 2.8761\n",
+      " and the parameters are [-3.26254098  4.38599651] -5.788568886093227 ;\n",
+      "Epoch 960/1000, Cost: 2.8815\n",
+      " and the parameters are [-3.26249101  4.38614324] -5.788498925872723 ;\n",
+      "Epoch 960/1000, Cost: 3.5259\n",
+      " and the parameters are [-3.26248473  4.3860998 ] -5.788552723012116 ;\n",
+      "Epoch 960/1000, Cost: 2.5340\n",
+      " and the parameters are [-3.26243616  4.38613736] -5.788572364099204 ;\n",
+      "Epoch 960/1000, Cost: 3.4399\n",
+      " and the parameters are [-3.26242997  4.38618794] -5.788563949299172 ;\n",
+      "Epoch 960/1000, Cost: 2.0683\n",
+      " and the parameters are [-3.26243123  4.38615437] -5.788609714259048 ;\n",
+      "Epoch 960/1000, Cost: 1.5447\n",
+      " and the parameters are [-3.2624587   4.38613837] -5.788626492505037 ;\n",
+      "Epoch 960/1000, Cost: 1.2412\n",
+      " and the parameters are [-3.26244941  4.3861762 ] -5.7886246277181055 ;\n",
+      "Epoch 960/1000, Cost: 2.0820\n",
+      " and the parameters are [-3.26244895  4.38623803] -5.788602386306591 ;\n",
+      "Epoch 960/1000, Cost: 0.6983\n",
+      " and the parameters are [-3.26243491  4.3862661 ] -5.788606486295376 ;\n",
+      "Epoch 960/1000, Cost: 2.9767\n",
+      " and the parameters are [-3.26245673  4.38622984] -5.788633794486985 ;\n",
+      "Epoch 960/1000, Cost: 4.5407\n",
+      " and the parameters are [-3.26242485  4.38628692] -5.788607433701403 ;\n",
+      "Epoch 960/1000, Cost: 3.6085\n",
+      " and the parameters are [-3.26237882  4.3862391 ] -5.788683183916853 ;\n",
+      "Epoch 960/1000, Cost: 2.3695\n",
+      " and the parameters are [-3.26237197  4.38626879] -5.788684307259619 ;\n",
+      "Epoch 960/1000, Cost: 3.3164\n",
+      " and the parameters are [-3.26236827  4.38633664] -5.7886526588877985 ;\n",
+      "Epoch 960/1000, Cost: 1.1866\n",
+      " and the parameters are [-3.2623423   4.38638999] -5.788649987807593 ;\n",
+      "Epoch 960/1000, Cost: 2.5256\n",
+      " and the parameters are [-3.26238882  4.38640783] -5.788632869437103 ;\n",
+      "Epoch 960/1000, Cost: 2.1134\n",
+      " and the parameters are [-3.26238549  4.38643467] -5.788637027315696 ;\n",
+      "Epoch 960/1000, Cost: 4.1228\n",
+      " and the parameters are [-3.26242524  4.38643103] -5.7886169601401685 ;\n",
+      "Epoch 960/1000, Cost: 5.3038\n",
+      " and the parameters are [-3.26239897  4.38635675] -5.788686712886291 ;\n",
+      "Epoch 960/1000, Cost: 1.8014\n",
+      " and the parameters are [-3.26244291  4.38629517] -5.788727575701815 ;\n",
+      "Epoch 960/1000, Cost: 1.3349\n",
+      " and the parameters are [-3.26245706  4.3862775 ] -5.7887524494005085 ;\n",
+      "Epoch 960/1000, Cost: 1.5953\n",
+      " and the parameters are [-3.26242078  4.38639992] -5.788700082289909 ;\n",
+      "Epoch 960/1000, Cost: 3.8439\n",
+      " and the parameters are [-3.26237851  4.38640448] -5.788720847939942 ;\n",
+      "Epoch 960/1000, Cost: 0.4862\n",
+      " and the parameters are [-3.26237672  4.38641683] -5.788724420637301 ;\n",
+      "Epoch 960/1000, Cost: 6.1562\n",
+      " and the parameters are [-3.26244476  4.38628217] -5.788792221101268 ;\n",
+      "Epoch 960/1000, Cost: 2.3518\n",
+      " and the parameters are [-3.26251002  4.38614422] -5.788880161093892 ;\n",
+      "Epoch 960/1000, Cost: 3.6617\n",
+      " and the parameters are [-3.26253713  4.38607587] -5.78894595334786 ;\n",
+      "Epoch 960/1000, Cost: 4.2690\n",
+      " and the parameters are [-3.26256613  4.38603092] -5.788968557688639 ;\n",
+      "Epoch 960/1000, Cost: 1.7502\n",
+      " and the parameters are [-3.26257543  4.3860387 ] -5.788982366565177 ;\n",
+      "Epoch 960/1000, Cost: 3.0138\n",
+      " and the parameters are [-3.26262091  4.38598764] -5.788994583232726 ;\n",
+      "Epoch 960/1000, Cost: 2.5561\n",
+      " and the parameters are [-3.26267399  4.38589658] -5.78903462082269 ;\n",
+      "Epoch 960/1000, Cost: 1.3693\n",
+      " and the parameters are [-3.26269212  4.38586032] -5.789073649126317 ;\n",
+      "Epoch 960/1000, Cost: 1.3084\n",
+      " and the parameters are [-3.2626703   4.38586368] -5.789098579933509 ;\n",
+      "Epoch 960/1000, Cost: 3.4151\n",
+      " and the parameters are [-3.26260368  4.38589301] -5.78913399977416 ;\n",
+      "Epoch 960/1000, Cost: 2.1647\n",
+      " and the parameters are [-3.26263715  4.38584979] -5.789170116686192 ;\n",
+      "Epoch 960/1000, Cost: 2.8668\n",
+      " and the parameters are [-3.26273367  4.38577953] -5.789185856766063 ;\n",
+      "Epoch 960/1000, Cost: 4.9884\n",
+      " and the parameters are [-3.26267799  4.38583641] -5.789164659406002 ;\n",
+      "Epoch 960/1000, Cost: 3.0739\n",
+      " and the parameters are [-3.26272724  4.38576082] -5.789215908408223 ;\n",
+      "Epoch 960/1000, Cost: 3.5507\n",
+      " and the parameters are [-3.26271136  4.38585133] -5.789170304488117 ;\n",
+      "Epoch 960/1000, Cost: 2.6315\n",
+      " and the parameters are [-3.26270972  4.3858573 ] -5.789200679738034 ;\n",
+      "Epoch 960/1000, Cost: 2.0483\n",
+      " and the parameters are [-3.26270445  4.38592741] -5.789168693236902 ;\n",
+      "Epoch 960/1000, Cost: 1.1316\n",
+      " and the parameters are [-3.26270831  4.38596321] -5.789162817544695 ;\n",
+      "Epoch 960/1000, Cost: 5.8464\n",
+      " and the parameters are [-3.26260781  4.38601424] -5.789167329663517 ;\n",
+      "Epoch 960/1000, Cost: 2.1817\n",
+      " and the parameters are [-3.26259735  4.38604481] -5.789183441571507 ;\n",
+      "Epoch 960/1000, Cost: 0.9432\n",
+      " and the parameters are [-3.26258083  4.38607633] -5.789190043037103 ;\n",
+      "Epoch 960/1000, Cost: 2.1704\n",
+      " and the parameters are [-3.26258659  4.38612926] -5.789158516781722 ;\n",
+      "Epoch 960/1000, Cost: 3.6626\n",
+      " and the parameters are [-3.26263079  4.38605897] -5.7891948955195875 ;\n",
+      "Epoch 960/1000, Cost: 1.4447\n",
+      " and the parameters are [-3.26257723  4.38607604] -5.789227239287685 ;\n",
+      "Epoch 960/1000, Cost: 1.1319\n",
+      " and the parameters are [-3.26259926  4.38602806] -5.7892674221383205 ;\n",
+      "Epoch 960/1000, Cost: 2.6571\n",
+      " and the parameters are [-3.26259547  4.38605561] -5.789266994891565 ;\n",
+      "Epoch 960/1000, Cost: 3.4606\n",
+      " and the parameters are [-3.26258834  4.38615621] -5.78920600643854 ;\n",
+      "Epoch 960/1000, Cost: 5.6483\n",
+      " and the parameters are [-3.26251053  4.38610879] -5.789273671857536 ;\n",
+      "Epoch 960/1000, Cost: 5.5543\n",
+      " and the parameters are [-3.26264084  4.38601942] -5.789258929235959 ;\n",
+      "Epoch 960/1000, Cost: 1.6336\n",
+      " and the parameters are [-3.26269471  4.3860296 ] -5.789242845228601 ;\n",
+      "Epoch 960/1000, Cost: 2.3467\n",
+      " and the parameters are [-3.2627191   4.38602604] -5.78925029653529 ;\n",
+      "Epoch 960/1000, Cost: 3.3096\n",
+      " and the parameters are [-3.26267209  4.38610239] -5.789244420756791 ;\n",
+      "Epoch 960/1000, Cost: 1.8262\n",
+      " and the parameters are [-3.26266997  4.38610532] -5.789271324680521 ;\n",
+      "Epoch 960/1000, Cost: 0.9705\n",
+      " and the parameters are [-3.2626557   4.38616255] -5.789254805542251 ;\n",
+      "Epoch 960/1000, Cost: 2.3524\n",
+      " and the parameters are [-3.26265057  4.38623497] -5.7892230840107946 ;\n",
+      "Epoch 960/1000, Cost: 2.8247\n",
+      " and the parameters are [-3.26263749  4.38636608] -5.789151613196133 ;\n",
+      "Epoch 960/1000, Cost: 3.5964\n",
+      " and the parameters are [-3.26276609  4.38641075] -5.7890609951250385 ;\n",
+      "Epoch 960/1000, Cost: 0.8364\n",
+      " and the parameters are [-3.26276076  4.38643674] -5.789063311029067 ;\n",
+      "Epoch 960/1000, Cost: 9.6599\n",
+      " and the parameters are [-3.26272338  4.3863975 ] -5.7890750069216255 ;\n",
+      "Epoch 960/1000, Cost: 5.6025\n",
+      " and the parameters are [-3.26270223  4.38625133] -5.789187824455708 ;\n",
+      "Epoch 960/1000, Cost: 2.6057\n",
+      " and the parameters are [-3.26279709  4.38620217] -5.789185856315049 ;\n",
+      "Epoch 960/1000, Cost: 2.6199\n",
+      " and the parameters are [-3.26279847  4.38617228] -5.7892231779146055 ;\n",
+      "Epoch 960/1000, Cost: 2.0838\n",
+      " and the parameters are [-3.26275907  4.38621176] -5.789239225434804 ;\n",
+      "Epoch 960/1000, Cost: 3.9296\n",
+      " and the parameters are [-3.2627241   4.38636135] -5.78914255364659 ;\n",
+      "Epoch 960/1000, Cost: 1.4723\n",
+      " and the parameters are [-3.2627398   4.38640017] -5.789129163882846 ;\n",
+      "Epoch 960/1000, Cost: 5.0025\n",
+      " and the parameters are [-3.26273582  4.3862682 ] -5.7892262006286295 ;\n",
+      "Epoch 960/1000, Cost: 1.5863\n",
+      " and the parameters are [-3.2627194   4.38634795] -5.789191191267236 ;\n",
+      "Epoch 960/1000, Cost: 2.1118\n",
+      " and the parameters are [-3.26273731  4.38631337] -5.78922881664128 ;\n",
+      "Epoch 960/1000, Cost: 4.2746\n",
+      " and the parameters are [-3.26267211  4.38645479] -5.789176180841971 ;\n",
+      "Epoch 960/1000, Cost: 3.2835\n",
+      " and the parameters are [-3.26261431  4.38643641] -5.789240250046452 ;\n",
+      "Epoch 960/1000, Cost: 1.7340\n",
+      " and the parameters are [-3.26261814  4.38642112] -5.789273398486259 ;\n",
+      "Epoch 960/1000, Cost: 1.6519\n",
+      " and the parameters are [-3.26264854  4.38639551] -5.789295687797444 ;\n",
+      "Epoch 960/1000, Cost: 2.1260\n",
+      " and the parameters are [-3.26270859  4.38641515] -5.789270280665733 ;\n",
+      "Epoch 960/1000, Cost: 3.3617\n",
+      " and the parameters are [-3.26273291  4.38634532] -5.78932449102422 ;\n",
+      "Epoch 960/1000, Cost: 1.2858\n",
+      " and the parameters are [-3.26275726  4.38636626] -5.789319173275979 ;\n",
+      "Epoch 960/1000, Cost: 2.1338\n",
+      " and the parameters are [-3.26271125  4.38648812] -5.789262978143291 ;\n",
+      "Epoch 960/1000, Cost: 5.0030\n",
+      " and the parameters are [-3.26269128  4.38656625] -5.789222380683471 ;\n",
+      "Epoch 960/1000, Cost: 3.5451\n",
+      " and the parameters are [-3.2627928   4.38655142] -5.789193497925072 ;\n",
+      "Epoch 960/1000, Cost: 3.0505\n",
+      " and the parameters are [-3.26280504  4.38668356] -5.789100950196978 ;\n",
+      "Epoch 960/1000, Cost: 5.4073\n",
+      " and the parameters are [-3.26285657  4.3865618 ] -5.789179223520871 ;\n",
+      "Epoch 960/1000, Cost: 4.0878\n",
+      " and the parameters are [-3.26283978  4.38661679] -5.7891661894890065 ;\n",
+      "Epoch 960/1000, Cost: 1.9890\n",
+      " and the parameters are [-3.2628006   4.38665089] -5.7891865945996965 ;\n",
+      "Epoch 960/1000, Cost: 3.7251\n",
+      " and the parameters are [-3.26275946  4.38670293] -5.7891914520203684 ;\n",
+      "Epoch 960/1000, Cost: 2.8312\n",
+      " and the parameters are [-3.26272371  4.38672014] -5.789217801889749 ;\n",
+      "Epoch 960/1000, Cost: 5.6562\n",
+      " and the parameters are [-3.26280791  4.38666406] -5.789208232982795 ;\n",
+      "Epoch 960/1000, Cost: 5.7670\n",
+      " and the parameters are [-3.26294119  4.38654708] -5.789222580918604 ;\n",
+      "Epoch 960/1000, Cost: 0.7749\n",
+      " and the parameters are [-3.26294435  4.38656345] -5.789222773300915 ;\n",
+      "Epoch 960/1000, Cost: 1.6480\n",
+      " and the parameters are [-3.26295819  4.38653308] -5.789263828413014 ;\n",
+      "Epoch 960/1000, Cost: 1.0164\n",
+      " and the parameters are [-3.2629556   4.38650863] -5.78929993718976 ;\n",
+      "Epoch 960/1000, Cost: 2.4379\n",
+      " and the parameters are [-3.26295734  4.38651317] -5.789314401213717 ;\n",
+      "Epoch 960/1000, Cost: 2.8532\n",
+      " and the parameters are [-3.2628875   4.38658639] -5.789306008539819 ;\n",
+      "Epoch 960/1000, Cost: 2.6992\n",
+      " and the parameters are [-3.26289519  4.38664476] -5.7892761920818785 ;\n",
+      "Epoch 960/1000, Cost: 0.6620\n",
+      " and the parameters are [-3.26291045  4.38664694] -5.789281978403113 ;\n",
+      "Epoch 970/1000, Cost: 1.8564\n",
+      " and the parameters are [-3.27041731  4.3960131 ] -5.802647551795815 ;\n",
+      "Epoch 970/1000, Cost: 1.9037\n",
+      " and the parameters are [-3.27040876  4.39609915] -5.8026003163449715 ;\n",
+      "Epoch 970/1000, Cost: 4.1145\n",
+      " and the parameters are [-3.27039835  4.39600576] -5.802696137244539 ;\n",
+      "Epoch 970/1000, Cost: 1.3788\n",
+      " and the parameters are [-3.27037674  4.39602602] -5.802718849744097 ;\n",
+      "Epoch 970/1000, Cost: 3.1692\n",
+      " and the parameters are [-3.27032246  4.39608382] -5.80272071463858 ;\n",
+      "Epoch 970/1000, Cost: 2.8069\n",
+      " and the parameters are [-3.27034781  4.3961107 ] -5.802699435113943 ;\n",
+      "Epoch 970/1000, Cost: 0.4416\n",
+      " and the parameters are [-3.27034647  4.39613558] -5.802695754178049 ;\n",
+      "Epoch 970/1000, Cost: 3.4768\n",
+      " and the parameters are [-3.27045844  4.3960862 ] -5.802695200068408 ;\n",
+      "Epoch 970/1000, Cost: 2.2883\n",
+      " and the parameters are [-3.27048422  4.39608459] -5.802700475003441 ;\n",
+      "Epoch 970/1000, Cost: 1.2284\n",
+      " and the parameters are [-3.27049626  4.39615569] -5.802656016949829 ;\n",
+      "Epoch 970/1000, Cost: 2.1317\n",
+      " and the parameters are [-3.27048626  4.39613137] -5.8027028837401256 ;\n",
+      "Epoch 970/1000, Cost: 5.3616\n",
+      " and the parameters are [-3.27043767  4.39626575] -5.802628785803396 ;\n",
+      "Epoch 970/1000, Cost: 2.3476\n",
+      " and the parameters are [-3.27046941  4.39625761] -5.802643789478609 ;\n",
+      "Epoch 970/1000, Cost: 2.3338\n",
+      " and the parameters are [-3.2704864   4.39629611] -5.802625386562824 ;\n",
+      "Epoch 970/1000, Cost: 0.9785\n",
+      " and the parameters are [-3.2704761   4.39628456] -5.802657994371106 ;\n",
+      "Epoch 970/1000, Cost: 3.4626\n",
+      " and the parameters are [-3.27041441  4.39627386] -5.802713474261727 ;\n",
+      "Epoch 970/1000, Cost: 1.8285\n",
+      " and the parameters are [-3.27042542  4.39626489] -5.802730703770948 ;\n",
+      "Epoch 970/1000, Cost: 0.7737\n",
+      " and the parameters are [-3.27044388  4.39626343] -5.802738989665358 ;\n",
+      "Epoch 970/1000, Cost: 0.4208\n",
+      " and the parameters are [-3.27043926  4.39627582] -5.802744989566487 ;\n",
+      "Epoch 970/1000, Cost: 1.8866\n",
+      " and the parameters are [-3.27044865  4.39630722] -5.802742712667816 ;\n",
+      "Epoch 970/1000, Cost: 3.0332\n",
+      " and the parameters are [-3.27040766  4.396287  ] -5.802801433694261 ;\n",
+      "Epoch 970/1000, Cost: 2.4316\n",
+      " and the parameters are [-3.27039067  4.39634191] -5.80278545174341 ;\n",
+      "Epoch 970/1000, Cost: 4.9071\n",
+      " and the parameters are [-3.27039173  4.39630156] -5.802812927522158 ;\n",
+      "Epoch 970/1000, Cost: 1.6890\n",
+      " and the parameters are [-3.2704014   4.39626526] -5.8028596003399135 ;\n",
+      "Epoch 970/1000, Cost: 3.3350\n",
+      " and the parameters are [-3.27048139  4.39618441] -5.80288510786635 ;\n",
+      "Epoch 970/1000, Cost: 1.8314\n",
+      " and the parameters are [-3.27046473  4.39618055] -5.802916353065192 ;\n",
+      "Epoch 970/1000, Cost: 1.6595\n",
+      " and the parameters are [-3.27046193  4.39619639] -5.802919005451859 ;\n",
+      "Epoch 970/1000, Cost: 3.6734\n",
+      " and the parameters are [-3.27041489  4.39621423] -5.8029396422026505 ;\n",
+      "Epoch 970/1000, Cost: 1.3728\n",
+      " and the parameters are [-3.27040248  4.39623977] -5.80295152794609 ;\n",
+      "Epoch 970/1000, Cost: 3.7633\n",
+      " and the parameters are [-3.27035381  4.39628266] -5.802950674938927 ;\n",
+      "Epoch 970/1000, Cost: 0.4338\n",
+      " and the parameters are [-3.27035216  4.39632356] -5.802933238717279 ;\n",
+      "Epoch 970/1000, Cost: 3.1947\n",
+      " and the parameters are [-3.27031417  4.39637054] -5.80292901292381 ;\n",
+      "Epoch 970/1000, Cost: 2.7428\n",
+      " and the parameters are [-3.27028162  4.39647141] -5.802887878246686 ;\n",
+      "Epoch 970/1000, Cost: 3.1424\n",
+      " and the parameters are [-3.27033724  4.39640394] -5.802923582129608 ;\n",
+      "Epoch 970/1000, Cost: 2.7907\n",
+      " and the parameters are [-3.27032497  4.39646778] -5.8029077797743875 ;\n",
+      "Epoch 970/1000, Cost: 2.0976\n",
+      " and the parameters are [-3.2703313   4.39641924] -5.802948485778894 ;\n",
+      "Epoch 970/1000, Cost: 5.3770\n",
+      " and the parameters are [-3.27033278  4.39635651] -5.802982016704384 ;\n",
+      "Epoch 970/1000, Cost: 3.3211\n",
+      " and the parameters are [-3.27029874  4.39641872] -5.8029620562428175 ;\n",
+      "Epoch 970/1000, Cost: 1.7265\n",
+      " and the parameters are [-3.27024681  4.3964777 ] -5.8029693991505615 ;\n",
+      "Epoch 970/1000, Cost: 2.7620\n",
+      " and the parameters are [-3.2701687   4.39653924] -5.802977063030329 ;\n",
+      "Epoch 970/1000, Cost: 4.9115\n",
+      " and the parameters are [-3.27018943  4.39642965] -5.803043300190048 ;\n",
+      "Epoch 970/1000, Cost: 1.0466\n",
+      " and the parameters are [-3.27020022  4.39641529] -5.803068936610392 ;\n",
+      "Epoch 970/1000, Cost: 4.9199\n",
+      " and the parameters are [-3.27012889  4.39650617] -5.803040775803414 ;\n",
+      "Epoch 970/1000, Cost: 2.9019\n",
+      " and the parameters are [-3.27014075  4.39660951] -5.8029711001127495 ;\n",
+      "Epoch 970/1000, Cost: 4.6862\n",
+      " and the parameters are [-3.27013348  4.39664932] -5.802959792551635 ;\n",
+      "Epoch 970/1000, Cost: 4.7621\n",
+      " and the parameters are [-3.27011526  4.39665956] -5.802940838966323 ;\n",
+      "Epoch 970/1000, Cost: 1.9337\n",
+      " and the parameters are [-3.27014051  4.39658547] -5.802992555157802 ;\n",
+      "Epoch 970/1000, Cost: 2.2099\n",
+      " and the parameters are [-3.27020174  4.3965004 ] -5.8030356201700135 ;\n",
+      "Epoch 970/1000, Cost: 2.2096\n",
+      " and the parameters are [-3.27021366  4.39652141] -5.803040045742199 ;\n",
+      "Epoch 970/1000, Cost: 1.4234\n",
+      " and the parameters are [-3.27022115  4.39656983] -5.803016376242219 ;\n",
+      "Epoch 970/1000, Cost: 2.0565\n",
+      " and the parameters are [-3.27021978  4.39655746] -5.803045305169083 ;\n",
+      "Epoch 970/1000, Cost: 4.9992\n",
+      " and the parameters are [-3.27011248  4.39661452] -5.80305056872292 ;\n",
+      "Epoch 970/1000, Cost: 3.9716\n",
+      " and the parameters are [-3.27016433  4.39652704] -5.80310014977407 ;\n",
+      "Epoch 970/1000, Cost: 1.9586\n",
+      " and the parameters are [-3.27023267  4.39649493] -5.803105867360502 ;\n",
+      "Epoch 970/1000, Cost: 2.1905\n",
+      " and the parameters are [-3.27022529  4.39657407] -5.803081565805751 ;\n",
+      "Epoch 970/1000, Cost: 2.6395\n",
+      " and the parameters are [-3.27022757  4.39668814] -5.803011574738975 ;\n",
+      "Epoch 970/1000, Cost: 3.3913\n",
+      " and the parameters are [-3.27021707  4.39660616] -5.803110336831214 ;\n",
+      "Epoch 970/1000, Cost: 4.4321\n",
+      " and the parameters are [-3.27013644  4.39670223] -5.8030889846657825 ;\n",
+      "Epoch 970/1000, Cost: 3.8447\n",
+      " and the parameters are [-3.27014593  4.39675975] -5.803054451111096 ;\n",
+      "Epoch 970/1000, Cost: 1.5159\n",
+      " and the parameters are [-3.27015076  4.3967652 ] -5.80307572529166 ;\n",
+      "Epoch 970/1000, Cost: 4.4376\n",
+      " and the parameters are [-3.27018462  4.39667274] -5.803146789281274 ;\n",
+      "Epoch 970/1000, Cost: 3.5816\n",
+      " and the parameters are [-3.27020842  4.39667864] -5.803148335105809 ;\n",
+      "Epoch 970/1000, Cost: 2.4453\n",
+      " and the parameters are [-3.27022785  4.39660793] -5.803192665428272 ;\n",
+      "Epoch 970/1000, Cost: 2.5667\n",
+      " and the parameters are [-3.27019272  4.39658162] -5.803240173514647 ;\n",
+      "Epoch 970/1000, Cost: 4.2532\n",
+      " and the parameters are [-3.27023177  4.39653565] -5.80325349599783 ;\n",
+      "Epoch 970/1000, Cost: 2.3819\n",
+      " and the parameters are [-3.27028546  4.39660756] -5.8031930019569975 ;\n",
+      "Epoch 970/1000, Cost: 1.4423\n",
+      " and the parameters are [-3.27029758  4.39660212] -5.803215447653791 ;\n",
+      "Epoch 970/1000, Cost: 3.1769\n",
+      " and the parameters are [-3.27030899  4.39664452] -5.80319022620753 ;\n",
+      "Epoch 970/1000, Cost: 1.9786\n",
+      " and the parameters are [-3.27034171  4.3965939 ] -5.803227769138756 ;\n",
+      "Epoch 970/1000, Cost: 2.3102\n",
+      " and the parameters are [-3.27031664  4.39667864] -5.80320527754401 ;\n",
+      "Epoch 970/1000, Cost: 5.3500\n",
+      " and the parameters are [-3.27044768  4.39662022] -5.803176657008787 ;\n",
+      "Epoch 970/1000, Cost: 2.8245\n",
+      " and the parameters are [-3.27041209  4.39671575] -5.803151236253489 ;\n",
+      "Epoch 970/1000, Cost: 2.1409\n",
+      " and the parameters are [-3.27042154  4.39666322] -5.8032050369586585 ;\n",
+      "Epoch 970/1000, Cost: 2.8204\n",
+      " and the parameters are [-3.27047616  4.39668862] -5.803180017212047 ;\n",
+      "Epoch 970/1000, Cost: 3.3427\n",
+      " and the parameters are [-3.27050847  4.39673298] -5.803165178255144 ;\n",
+      "Epoch 970/1000, Cost: 1.7505\n",
+      " and the parameters are [-3.27053432  4.39668014] -5.803207779233532 ;\n",
+      "Epoch 970/1000, Cost: 5.5144\n",
+      " and the parameters are [-3.27062191  4.39661903] -5.803204442604397 ;\n",
+      "Epoch 970/1000, Cost: 2.0846\n",
+      " and the parameters are [-3.27063397  4.39658341] -5.803250566633438 ;\n",
+      "Epoch 970/1000, Cost: 3.1200\n",
+      " and the parameters are [-3.27056101  4.39668848] -5.803223490019278 ;\n",
+      "Epoch 970/1000, Cost: 3.0586\n",
+      " and the parameters are [-3.27051454  4.39666685] -5.8032757830894655 ;\n",
+      "Epoch 970/1000, Cost: 3.7837\n",
+      " and the parameters are [-3.27049094  4.39676133] -5.803245396208243 ;\n",
+      "Epoch 970/1000, Cost: 6.7102\n",
+      " and the parameters are [-3.27051246  4.39670102] -5.803249979939408 ;\n",
+      "Epoch 970/1000, Cost: 1.0030\n",
+      " and the parameters are [-3.27052418  4.39668445] -5.803272019638155 ;\n",
+      "Epoch 970/1000, Cost: 3.4685\n",
+      " and the parameters are [-3.27050458  4.39668609] -5.8032893066963265 ;\n",
+      "Epoch 970/1000, Cost: 5.3226\n",
+      " and the parameters are [-3.27047688  4.39678109] -5.803233563642391 ;\n",
+      "Epoch 970/1000, Cost: 2.8742\n",
+      " and the parameters are [-3.27051155  4.39686739] -5.8031664681420825 ;\n",
+      "Epoch 970/1000, Cost: 2.3376\n",
+      " and the parameters are [-3.27054079  4.39678367] -5.803232351109792 ;\n",
+      "Epoch 970/1000, Cost: 2.7852\n",
+      " and the parameters are [-3.27056254  4.39678874] -5.803235556647227 ;\n",
+      "Epoch 970/1000, Cost: 1.2819\n",
+      " and the parameters are [-3.27055185  4.39685476] -5.803214712957683 ;\n",
+      "Epoch 970/1000, Cost: 2.7405\n",
+      " and the parameters are [-3.27052594  4.39690168] -5.8032137141278115 ;\n",
+      "Epoch 970/1000, Cost: 2.9239\n",
+      " and the parameters are [-3.2705048   4.39690641] -5.803249845232595 ;\n",
+      "Epoch 970/1000, Cost: 2.6334\n",
+      " and the parameters are [-3.27042943  4.39687199] -5.803341520587235 ;\n",
+      "Epoch 970/1000, Cost: 1.2972\n",
+      " and the parameters are [-3.27042742  4.39689796] -5.803344268249985 ;\n",
+      "Epoch 970/1000, Cost: 3.1244\n",
+      " and the parameters are [-3.27039051  4.39684216] -5.80342833038171 ;\n",
+      "Epoch 970/1000, Cost: 4.3468\n",
+      " and the parameters are [-3.27043251  4.39682454] -5.803425632079191 ;\n",
+      "Epoch 970/1000, Cost: 6.9376\n",
+      " and the parameters are [-3.27058771  4.39652246] -5.803539840764602 ;\n",
+      "Epoch 970/1000, Cost: 4.4257\n",
+      " and the parameters are [-3.27063768  4.39644034] -5.803590977512812 ;\n",
+      "Epoch 970/1000, Cost: 1.7660\n",
+      " and the parameters are [-3.2706251  4.3964478] -5.803612314510037 ;\n",
+      "Epoch 970/1000, Cost: 4.3738\n",
+      " and the parameters are [-3.27071358  4.39648982] -5.803524698512477 ;\n",
+      "Epoch 970/1000, Cost: 2.1765\n",
+      " and the parameters are [-3.27067884  4.39653055] -5.803537507318976 ;\n",
+      "Epoch 970/1000, Cost: 5.2667\n",
+      " and the parameters are [-3.27072303  4.39641567] -5.8036202922191 ;\n",
+      "Epoch 970/1000, Cost: 0.8754\n",
+      " and the parameters are [-3.27074772  4.39641914] -5.8036240064163875 ;\n",
+      "Epoch 970/1000, Cost: 5.3756\n",
+      " and the parameters are [-3.27080394  4.39644055] -5.803560626399275 ;\n",
+      "Epoch 970/1000, Cost: 0.7722\n",
+      " and the parameters are [-3.27079986  4.39649077] -5.8035428842329555 ;\n",
+      "Epoch 970/1000, Cost: 2.5771\n",
+      " and the parameters are [-3.27080652  4.39655446] -5.803509853552098 ;\n",
+      "Epoch 970/1000, Cost: 1.3027\n",
+      " and the parameters are [-3.27082686  4.39654514] -5.80352113874887 ;\n",
+      "Epoch 970/1000, Cost: 1.7453\n",
+      " and the parameters are [-3.27086753  4.39656211] -5.803505592261815 ;\n",
+      "Epoch 970/1000, Cost: 3.2388\n",
+      " and the parameters are [-3.27095232  4.39640085] -5.803591915331727 ;\n",
+      "Epoch 970/1000, Cost: 7.2081\n",
+      " and the parameters are [-3.27087926  4.39647502] -5.803561382696161 ;\n",
+      "Epoch 970/1000, Cost: 1.8729\n",
+      " and the parameters are [-3.27085213  4.39659337] -5.803514012446697 ;\n",
+      "Epoch 970/1000, Cost: 2.1396\n",
+      " and the parameters are [-3.27085748  4.39662681] -5.80350457559373 ;\n",
+      "Epoch 970/1000, Cost: 6.4633\n",
+      " and the parameters are [-3.27079585  4.39652821] -5.803617401579972 ;\n",
+      "Epoch 970/1000, Cost: 4.8429\n",
+      " and the parameters are [-3.27081916  4.39638088] -5.803701228882223 ;\n",
+      "Epoch 970/1000, Cost: 3.1596\n",
+      " and the parameters are [-3.2708142   4.39638449] -5.8037074992559194 ;\n",
+      "Epoch 970/1000, Cost: 4.3440\n",
+      " and the parameters are [-3.27075516  4.39637157] -5.803760708461492 ;\n",
+      "Epoch 970/1000, Cost: 2.3798\n",
+      " and the parameters are [-3.27078146  4.39633829] -5.803794429337572 ;\n",
+      "Epoch 970/1000, Cost: 4.0591\n",
+      " and the parameters are [-3.27081988  4.39633389] -5.8037902286745515 ;\n",
+      "Epoch 970/1000, Cost: 3.7171\n",
+      " and the parameters are [-3.27078396  4.39642797] -5.803750982846672 ;\n",
+      "Epoch 970/1000, Cost: 3.3814\n",
+      " and the parameters are [-3.27078299  4.39647958] -5.80373559575641 ;\n",
+      "Epoch 970/1000, Cost: 2.0511\n",
+      " and the parameters are [-3.2707501   4.39652494] -5.803740827136823 ;\n",
+      "Epoch 970/1000, Cost: 0.9157\n",
+      " and the parameters are [-3.27075056  4.39654652] -5.803742246963589 ;\n",
+      "Epoch 970/1000, Cost: 3.4827\n",
+      " and the parameters are [-3.27073682  4.39660245] -5.8037123015545475 ;\n",
+      "Epoch 970/1000, Cost: 2.0451\n",
+      " and the parameters are [-3.27074278  4.39662809] -5.803714454245851 ;\n",
+      "Epoch 970/1000, Cost: 0.8712\n",
+      " and the parameters are [-3.27074318  4.39668469] -5.803687458087934 ;\n",
+      "Epoch 970/1000, Cost: 1.3107\n",
+      " and the parameters are [-3.27076991  4.39671598] -5.803664438246162 ;\n",
+      "Epoch 970/1000, Cost: 2.7502\n",
+      " and the parameters are [-3.27079455  4.39669485] -5.803700136740095 ;\n",
+      "Epoch 970/1000, Cost: 2.2291\n",
+      " and the parameters are [-3.2707746   4.39673449] -5.80369322063067 ;\n",
+      "Epoch 970/1000, Cost: 4.3582\n",
+      " and the parameters are [-3.27084257  4.39663869] -5.803743979887241 ;\n",
+      "Epoch 970/1000, Cost: 3.3480\n",
+      " and the parameters are [-3.27090195  4.39664695] -5.8037199775694335 ;\n",
+      "Epoch 970/1000, Cost: 1.6583\n",
+      " and the parameters are [-3.2708501   4.39675976] -5.803683349889321 ;\n",
+      "Epoch 970/1000, Cost: 6.2920\n",
+      " and the parameters are [-3.27096306  4.39664068] -5.80369550784827 ;\n",
+      "Epoch 970/1000, Cost: 2.3383\n",
+      " and the parameters are [-3.27092776  4.39670069] -5.80369592355989 ;\n",
+      "Epoch 970/1000, Cost: 3.2885\n",
+      " and the parameters are [-3.27089784  4.39668883] -5.803739096885528 ;\n",
+      "Epoch 970/1000, Cost: 2.3048\n",
+      " and the parameters are [-3.27087236  4.39667622] -5.80378143608018 ;\n",
+      "Epoch 970/1000, Cost: 3.3631\n",
+      " and the parameters are [-3.2707703   4.39673471] -5.803810883936045 ;\n",
+      "Epoch 970/1000, Cost: 4.5186\n",
+      " and the parameters are [-3.27072949  4.39668482] -5.803879097935834 ;\n",
+      "Epoch 970/1000, Cost: 2.6748\n",
+      " and the parameters are [-3.27066784  4.39682464] -5.803821820568402 ;\n",
+      "Epoch 970/1000, Cost: 0.9211\n",
+      " and the parameters are [-3.27065264  4.39688227] -5.803805953899363 ;\n",
+      "Epoch 970/1000, Cost: 4.3712\n",
+      " and the parameters are [-3.27072289  4.39690271] -5.80376339721345 ;\n",
+      "Epoch 970/1000, Cost: 1.8850\n",
+      " and the parameters are [-3.27073678  4.39694789] -5.803754940017338 ;\n",
+      "Epoch 970/1000, Cost: 1.3369\n",
+      " and the parameters are [-3.27073443  4.39695879] -5.803772195835897 ;\n",
+      "Epoch 970/1000, Cost: 3.1394\n",
+      " and the parameters are [-3.2707343  4.3971191] -5.803673849783022 ;\n",
+      "Epoch 970/1000, Cost: 2.7732\n",
+      " and the parameters are [-3.27070019  4.3970795 ] -5.803727614940897 ;\n",
+      "Epoch 970/1000, Cost: 2.3553\n",
+      " and the parameters are [-3.27069331  4.3970833 ] -5.803747615990007 ;\n",
+      "Epoch 970/1000, Cost: 4.0222\n",
+      " and the parameters are [-3.27065435  4.39719743] -5.803701203177606 ;\n",
+      "Epoch 970/1000, Cost: 3.8420\n",
+      " and the parameters are [-3.27061064  4.39718631] -5.803734708605865 ;\n",
+      "Epoch 970/1000, Cost: 1.8859\n",
+      " and the parameters are [-3.27063469  4.39721819] -5.803707982429614 ;\n",
+      "Epoch 970/1000, Cost: 0.6687\n",
+      " and the parameters are [-3.27061899  4.39724016] -5.803716402377673 ;\n",
+      "Epoch 970/1000, Cost: 2.6249\n",
+      " and the parameters are [-3.27062611  4.39715257] -5.803798085196059 ;\n",
+      "Epoch 970/1000, Cost: 3.0659\n",
+      " and the parameters are [-3.27059444  4.39724699] -5.8037659358891105 ;\n",
+      "Epoch 970/1000, Cost: 5.3116\n",
+      " and the parameters are [-3.27061939  4.39712849] -5.803834707980899 ;\n",
+      "Epoch 970/1000, Cost: 2.5751\n",
+      " and the parameters are [-3.27064161  4.39716576] -5.803793226346532 ;\n",
+      "Epoch 970/1000, Cost: 7.7985\n",
+      " and the parameters are [-3.27058649  4.39725736] -5.803719397379061 ;\n",
+      "Epoch 970/1000, Cost: 1.1078\n",
+      " and the parameters are [-3.27057268  4.39732606] -5.803694466282291 ;\n",
+      "Epoch 970/1000, Cost: 2.8040\n",
+      " and the parameters are [-3.27058333  4.39730154] -5.803728404502778 ;\n",
+      "Epoch 970/1000, Cost: 1.2263\n",
+      " and the parameters are [-3.27055804  4.39732483] -5.803752160899353 ;\n",
+      "Epoch 970/1000, Cost: 0.6361\n",
+      " and the parameters are [-3.2705475  4.397339 ] -5.803764120620748 ;\n",
+      "Epoch 970/1000, Cost: 1.7080\n",
+      " and the parameters are [-3.27054605  4.3973851 ] -5.803748306186922 ;\n",
+      "Epoch 970/1000, Cost: 2.8574\n",
+      " and the parameters are [-3.2705329   4.39745854] -5.803715346410893 ;\n",
+      "Epoch 970/1000, Cost: 7.2195\n",
+      " and the parameters are [-3.27050369  4.39742917] -5.803719803999579 ;\n",
+      "Epoch 970/1000, Cost: 2.3033\n",
+      " and the parameters are [-3.27048055  4.39744141] -5.803735526983815 ;\n",
+      "Epoch 970/1000, Cost: 4.0077\n",
+      " and the parameters are [-3.27056294  4.39744546] -5.803708466486672 ;\n",
+      "Epoch 970/1000, Cost: 7.9913\n",
+      " and the parameters are [-3.27065931  4.39732216] -5.80372554288162 ;\n",
+      "Epoch 970/1000, Cost: 2.9831\n",
+      " and the parameters are [-3.27067361  4.39732102] -5.803748330922074 ;\n",
+      "Epoch 970/1000, Cost: 3.0564\n",
+      " and the parameters are [-3.27076335  4.3972782 ] -5.803748738252261 ;\n",
+      "Epoch 970/1000, Cost: 1.9416\n",
+      " and the parameters are [-3.27073735  4.39737899] -5.803702825082699 ;\n",
+      "Epoch 970/1000, Cost: 1.7217\n",
+      " and the parameters are [-3.27070346  4.3974068 ] -5.803719620668106 ;\n",
+      "Epoch 970/1000, Cost: 1.3292\n",
+      " and the parameters are [-3.27072926  4.39739852] -5.803727324156651 ;\n",
+      "Epoch 970/1000, Cost: 1.6562\n",
+      " and the parameters are [-3.27076498  4.39743803] -5.803694260118956 ;\n",
+      "Epoch 970/1000, Cost: 3.9388\n",
+      " and the parameters are [-3.27077109  4.39751751] -5.803636677617746 ;\n",
+      "Epoch 970/1000, Cost: 1.8144\n",
+      " and the parameters are [-3.27078253  4.39749155] -5.803671508159393 ;\n",
+      "Epoch 970/1000, Cost: 2.6968\n",
+      " and the parameters are [-3.27088139  4.39740529] -5.803705762362331 ;\n",
+      "Epoch 970/1000, Cost: 2.1629\n",
+      " and the parameters are [-3.27081454  4.39742073] -5.803749976043967 ;\n",
+      "Epoch 970/1000, Cost: 1.3825\n",
+      " and the parameters are [-3.27083063  4.3974437 ] -5.803745575303286 ;\n",
+      "Epoch 970/1000, Cost: 1.0263\n",
+      " and the parameters are [-3.27084644  4.39745053] -5.803754234612415 ;\n",
+      "Epoch 970/1000, Cost: 4.0606\n",
+      " and the parameters are [-3.27096616  4.39735666] -5.803782049855921 ;\n",
+      "Epoch 970/1000, Cost: 5.3847\n",
+      " and the parameters are [-3.2709788   4.39741393] -5.803743581397084 ;\n",
+      "Epoch 970/1000, Cost: 2.6825\n",
+      " and the parameters are [-3.27095846  4.39736982] -5.8038041361811885 ;\n",
+      "Epoch 970/1000, Cost: 1.1383\n",
+      " and the parameters are [-3.27090903  4.39743581] -5.803796346724208 ;\n",
+      "Epoch 970/1000, Cost: 2.4237\n",
+      " and the parameters are [-3.27096292  4.39745004] -5.803782881546741 ;\n",
+      "Epoch 970/1000, Cost: 4.9592\n",
+      " and the parameters are [-3.27101333  4.39733456] -5.803851883551644 ;\n",
+      "Epoch 970/1000, Cost: 4.7516\n",
+      " and the parameters are [-3.2710572   4.39741517] -5.803767839587537 ;\n",
+      "Epoch 970/1000, Cost: 1.3625\n",
+      " and the parameters are [-3.27101739  4.39749729] -5.803744802862833 ;\n",
+      "Epoch 970/1000, Cost: 1.4276\n",
+      " and the parameters are [-3.27102836  4.39750527] -5.8037562490562165 ;\n",
+      "Epoch 970/1000, Cost: 3.5974\n",
+      " and the parameters are [-3.27100641  4.39754307] -5.803761800457755 ;\n",
+      "Epoch 970/1000, Cost: 2.5341\n",
+      " and the parameters are [-3.27104859  4.39747275] -5.803813003685814 ;\n",
+      "Epoch 970/1000, Cost: 2.3335\n",
+      " and the parameters are [-3.27109598  4.39743571] -5.803834604480723 ;\n",
+      "Epoch 970/1000, Cost: 6.5514\n",
+      " and the parameters are [-3.27106129  4.39740658] -5.8038567677587 ;\n",
+      "Epoch 970/1000, Cost: 2.0291\n",
+      " and the parameters are [-3.27108476  4.39741258] -5.8038660733703376 ;\n",
+      "Epoch 970/1000, Cost: 5.3781\n",
+      " and the parameters are [-3.27111799  4.39730421] -5.803926841836352 ;\n",
+      "Epoch 970/1000, Cost: 2.8541\n",
+      " and the parameters are [-3.27110543  4.39731341] -5.803934456661272 ;\n",
+      "Epoch 970/1000, Cost: 4.2212\n",
+      " and the parameters are [-3.2711813   4.39716929] -5.804012740182499 ;\n",
+      "Epoch 970/1000, Cost: 5.5253\n",
+      " and the parameters are [-3.27120849  4.39721085] -5.803960736629723 ;\n",
+      "Epoch 970/1000, Cost: 10.3329\n",
+      " and the parameters are [-3.27112383  4.39714727] -5.804019437736948 ;\n",
+      "Epoch 970/1000, Cost: 4.7675\n",
+      " and the parameters are [-3.27113299  4.39712092] -5.804042253460021 ;\n",
+      "Epoch 970/1000, Cost: 0.2967\n",
+      " and the parameters are [-3.27113136  4.3971249 ] -5.80404977778982 ;\n",
+      "Epoch 970/1000, Cost: 0.9543\n",
+      " and the parameters are [-3.27114332  4.39710352] -5.804079984658826 ;\n",
+      "Epoch 970/1000, Cost: 2.8037\n",
+      " and the parameters are [-3.27118616  4.39711197] -5.804050183975568 ;\n",
+      "Epoch 970/1000, Cost: 1.4588\n",
+      " and the parameters are [-3.27118451  4.39715879] -5.804038973248635 ;\n",
+      "Epoch 970/1000, Cost: 2.3896\n",
+      " and the parameters are [-3.27123844  4.39707062] -5.804092892784542 ;\n",
+      "Epoch 980/1000, Cost: 4.4119\n",
+      " and the parameters are [-3.27869291  4.40641891] -5.817249055316948 ;\n",
+      "Epoch 980/1000, Cost: 2.0662\n",
+      " and the parameters are [-3.27868083  4.4065063 ] -5.817213110988887 ;\n",
+      "Epoch 980/1000, Cost: 4.3031\n",
+      " and the parameters are [-3.27871723  4.40649294] -5.817218198107481 ;\n",
+      "Epoch 980/1000, Cost: 3.7744\n",
+      " and the parameters are [-3.27875659  4.40649713] -5.817199686212138 ;\n",
+      "Epoch 980/1000, Cost: 1.1253\n",
+      " and the parameters are [-3.27874363  4.40652112] -5.8172115816123116 ;\n",
+      "Epoch 980/1000, Cost: 4.0335\n",
+      " and the parameters are [-3.27873787  4.40656468] -5.817190389668959 ;\n",
+      "Epoch 980/1000, Cost: 3.6477\n",
+      " and the parameters are [-3.27870793  4.40664021] -5.817165526002758 ;\n",
+      "Epoch 980/1000, Cost: 3.3043\n",
+      " and the parameters are [-3.27877765  4.40648401] -5.8172413442694095 ;\n",
+      "Epoch 980/1000, Cost: 3.3433\n",
+      " and the parameters are [-3.27877447  4.40661763] -5.817166333675475 ;\n",
+      "Epoch 980/1000, Cost: 2.8273\n",
+      " and the parameters are [-3.27879427  4.40655212] -5.817209790156752 ;\n",
+      "Epoch 980/1000, Cost: 4.9537\n",
+      " and the parameters are [-3.27883322  4.40652815] -5.817214638361607 ;\n",
+      "Epoch 980/1000, Cost: 2.9935\n",
+      " and the parameters are [-3.27885029  4.40652018] -5.817222405661927 ;\n",
+      "Epoch 980/1000, Cost: 1.9135\n",
+      " and the parameters are [-3.27891102  4.40643795] -5.817266903872667 ;\n",
+      "Epoch 980/1000, Cost: 1.4316\n",
+      " and the parameters are [-3.27888166  4.40645903] -5.817289692639211 ;\n",
+      "Epoch 980/1000, Cost: 1.9461\n",
+      " and the parameters are [-3.27886379  4.40651577] -5.8172837866764135 ;\n",
+      "Epoch 980/1000, Cost: 2.1615\n",
+      " and the parameters are [-3.27878048  4.40663705] -5.817254176502786 ;\n",
+      "Epoch 980/1000, Cost: 2.1438\n",
+      " and the parameters are [-3.27872004  4.40671048] -5.817250194076034 ;\n",
+      "Epoch 980/1000, Cost: 2.0767\n",
+      " and the parameters are [-3.27874337  4.40665663] -5.817298059183011 ;\n",
+      "Epoch 980/1000, Cost: 5.3328\n",
+      " and the parameters are [-3.27875337  4.40667073] -5.817306632140375 ;\n",
+      "Epoch 980/1000, Cost: 3.5330\n",
+      " and the parameters are [-3.27880357  4.40672347] -5.817250445708336 ;\n",
+      "Epoch 980/1000, Cost: 1.4113\n",
+      " and the parameters are [-3.27880409  4.40679667] -5.81721078745081 ;\n",
+      "Epoch 980/1000, Cost: 4.4126\n",
+      " and the parameters are [-3.27878688  4.40676262] -5.817256499723619 ;\n",
+      "Epoch 980/1000, Cost: 2.8012\n",
+      " and the parameters are [-3.27879117  4.4068556 ] -5.817207594888406 ;\n",
+      "Epoch 980/1000, Cost: 3.7017\n",
+      " and the parameters are [-3.27877362  4.40691926] -5.817174317687212 ;\n",
+      "Epoch 980/1000, Cost: 2.3500\n",
+      " and the parameters are [-3.27880597  4.40690383] -5.8171836887558355 ;\n",
+      "Epoch 980/1000, Cost: 1.4380\n",
+      " and the parameters are [-3.27879429  4.40688938] -5.817219605368091 ;\n",
+      "Epoch 980/1000, Cost: 0.9843\n",
+      " and the parameters are [-3.27878724  4.40690166] -5.8172344702651415 ;\n",
+      "Epoch 980/1000, Cost: 2.5948\n",
+      " and the parameters are [-3.27874046  4.40688272] -5.8172956160212985 ;\n",
+      "Epoch 980/1000, Cost: 4.1436\n",
+      " and the parameters are [-3.27869874  4.40692778] -5.817304933846559 ;\n",
+      "Epoch 980/1000, Cost: 4.7735\n",
+      " and the parameters are [-3.27874689  4.40694263] -5.817275137674249 ;\n",
+      "Epoch 980/1000, Cost: 4.4640\n",
+      " and the parameters are [-3.27871896  4.40686224] -5.81737633647017 ;\n",
+      "Epoch 980/1000, Cost: 1.5259\n",
+      " and the parameters are [-3.27873505  4.40683792] -5.817409051098197 ;\n",
+      "Epoch 980/1000, Cost: 3.7581\n",
+      " and the parameters are [-3.27866469  4.40698557] -5.8173566285974925 ;\n",
+      "Epoch 980/1000, Cost: 2.8470\n",
+      " and the parameters are [-3.27868438  4.40706061] -5.817307414401862 ;\n",
+      "Epoch 980/1000, Cost: 7.6965\n",
+      " and the parameters are [-3.27869893  4.40697144] -5.817355594574927 ;\n",
+      "Epoch 980/1000, Cost: 4.1293\n",
+      " and the parameters are [-3.2786123   4.40690438] -5.817445705706006 ;\n",
+      "Epoch 980/1000, Cost: 9.5528\n",
+      " and the parameters are [-3.27862294  4.40696022] -5.817354687325853 ;\n",
+      "Epoch 980/1000, Cost: 1.9915\n",
+      " and the parameters are [-3.27856832  4.40704263] -5.8173400567191615 ;\n",
+      "Epoch 980/1000, Cost: 4.2314\n",
+      " and the parameters are [-3.2785169   4.40713419] -5.817292068154472 ;\n",
+      "Epoch 980/1000, Cost: 4.3039\n",
+      " and the parameters are [-3.27867372  4.40706482] -5.817265255193616 ;\n",
+      "Epoch 980/1000, Cost: 2.8108\n",
+      " and the parameters are [-3.27860738  4.4071102 ] -5.817291607822083 ;\n",
+      "Epoch 980/1000, Cost: 8.0755\n",
+      " and the parameters are [-3.27872651  4.40677461] -5.8174688334637645 ;\n",
+      "Epoch 980/1000, Cost: 2.4807\n",
+      " and the parameters are [-3.27871485  4.40690541] -5.8174003598272925 ;\n",
+      "Epoch 980/1000, Cost: 2.8694\n",
+      " and the parameters are [-3.27863965  4.4069376 ] -5.817444071576217 ;\n",
+      "Epoch 980/1000, Cost: 3.5413\n",
+      " and the parameters are [-3.27857858  4.4068474 ] -5.817566671989812 ;\n",
+      "Epoch 980/1000, Cost: 3.3564\n",
+      " and the parameters are [-3.27854453  4.40691885] -5.8175523838116545 ;\n",
+      "Epoch 980/1000, Cost: 2.5468\n",
+      " and the parameters are [-3.27859525  4.40690782] -5.817554054342878 ;\n",
+      "Epoch 980/1000, Cost: 0.9361\n",
+      " and the parameters are [-3.27863652  4.40687948] -5.817571885524556 ;\n",
+      "Epoch 980/1000, Cost: 1.2255\n",
+      " and the parameters are [-3.27865038  4.40684183] -5.817611546626745 ;\n",
+      "Epoch 980/1000, Cost: 1.9190\n",
+      " and the parameters are [-3.2786816   4.40679571] -5.817654613783167 ;\n",
+      "Epoch 980/1000, Cost: 1.0149\n",
+      " and the parameters are [-3.27871006  4.40681132] -5.817643737310608 ;\n",
+      "Epoch 980/1000, Cost: 3.7984\n",
+      " and the parameters are [-3.2786623   4.40677217] -5.817704673669976 ;\n",
+      "Epoch 980/1000, Cost: 1.7342\n",
+      " and the parameters are [-3.27868243  4.4068419 ] -5.817656639597756 ;\n",
+      "Epoch 980/1000, Cost: 2.3467\n",
+      " and the parameters are [-3.27868182  4.40684031] -5.817671178996111 ;\n",
+      "Epoch 980/1000, Cost: 2.2696\n",
+      " and the parameters are [-3.27868407  4.40686386] -5.817665526802391 ;\n",
+      "Epoch 980/1000, Cost: 1.7152\n",
+      " and the parameters are [-3.27871328  4.40690485] -5.817642568874485 ;\n",
+      "Epoch 980/1000, Cost: 2.4353\n",
+      " and the parameters are [-3.27878087  4.40692119] -5.81760791496351 ;\n",
+      "Epoch 980/1000, Cost: 3.3393\n",
+      " and the parameters are [-3.27878131  4.40687472] -5.817635799915451 ;\n",
+      "Epoch 980/1000, Cost: 1.9732\n",
+      " and the parameters are [-3.27882181  4.40692513] -5.817581981527169 ;\n",
+      "Epoch 980/1000, Cost: 1.6190\n",
+      " and the parameters are [-3.27886183  4.40687293] -5.817618847729867 ;\n",
+      "Epoch 980/1000, Cost: 1.3189\n",
+      " and the parameters are [-3.27881834  4.40692981] -5.817616544065708 ;\n",
+      "Epoch 980/1000, Cost: 4.1545\n",
+      " and the parameters are [-3.27890982  4.40684017] -5.817626185243534 ;\n",
+      "Epoch 980/1000, Cost: 1.8649\n",
+      " and the parameters are [-3.27892921  4.4068303 ] -5.8176394154802376 ;\n",
+      "Epoch 980/1000, Cost: 2.2087\n",
+      " and the parameters are [-3.27894838  4.40684797] -5.817639611436537 ;\n",
+      "Epoch 980/1000, Cost: 1.8186\n",
+      " and the parameters are [-3.27898509  4.40679153] -5.817673176014783 ;\n",
+      "Epoch 980/1000, Cost: 1.2925\n",
+      " and the parameters are [-3.27896554  4.40684032] -5.817672553286178 ;\n",
+      "Epoch 980/1000, Cost: 5.0361\n",
+      " and the parameters are [-3.278867    4.40682279] -5.817736076248432 ;\n",
+      "Epoch 980/1000, Cost: 1.1808\n",
+      " and the parameters are [-3.27885219  4.40685245] -5.8177464200310265 ;\n",
+      "Epoch 980/1000, Cost: 1.7594\n",
+      " and the parameters are [-3.27887937  4.40691345] -5.817695229827573 ;\n",
+      "Epoch 980/1000, Cost: 5.3614\n",
+      " and the parameters are [-3.27886798  4.40698361] -5.817639075272681 ;\n",
+      "Epoch 980/1000, Cost: 1.3910\n",
+      " and the parameters are [-3.27882902  4.40698849] -5.817671923010853 ;\n",
+      "Epoch 980/1000, Cost: 1.4992\n",
+      " and the parameters are [-3.27883546  4.40702897] -5.817647795267542 ;\n",
+      "Epoch 980/1000, Cost: 1.5427\n",
+      " and the parameters are [-3.27881523  4.40708983] -5.817634936278476 ;\n",
+      "Epoch 980/1000, Cost: 4.6462\n",
+      " and the parameters are [-3.27881588  4.40699266] -5.817717261379286 ;\n",
+      "Epoch 980/1000, Cost: 1.9361\n",
+      " and the parameters are [-3.27884333  4.40691625] -5.817777265461096 ;\n",
+      "Epoch 980/1000, Cost: 2.4480\n",
+      " and the parameters are [-3.27885671  4.40689799] -5.817802162937435 ;\n",
+      "Epoch 980/1000, Cost: 1.2892\n",
+      " and the parameters are [-3.27887969  4.40687888] -5.817822827939503 ;\n",
+      "Epoch 980/1000, Cost: 3.4266\n",
+      " and the parameters are [-3.27888927  4.40684392] -5.817858475494058 ;\n",
+      "Epoch 980/1000, Cost: 1.5443\n",
+      " and the parameters are [-3.27892695  4.40686144] -5.817845246323542 ;\n",
+      "Epoch 980/1000, Cost: 1.9665\n",
+      " and the parameters are [-3.27891298  4.40687046] -5.817865543204078 ;\n",
+      "Epoch 980/1000, Cost: 2.5729\n",
+      " and the parameters are [-3.27890321  4.40693079] -5.817825381288333 ;\n",
+      "Epoch 980/1000, Cost: 2.5979\n",
+      " and the parameters are [-3.27892061  4.40682747] -5.817913305707142 ;\n",
+      "Epoch 980/1000, Cost: 3.2707\n",
+      " and the parameters are [-3.2788893   4.40683248] -5.817951739683591 ;\n",
+      "Epoch 980/1000, Cost: 3.4582\n",
+      " and the parameters are [-3.27892359  4.40687253] -5.817910263543507 ;\n",
+      "Epoch 980/1000, Cost: 3.6029\n",
+      " and the parameters are [-3.2788678   4.40691471] -5.817925539176687 ;\n",
+      "Epoch 980/1000, Cost: 3.4322\n",
+      " and the parameters are [-3.27883221  4.40697596] -5.8178989821721725 ;\n",
+      "Epoch 980/1000, Cost: 3.5113\n",
+      " and the parameters are [-3.27882423  4.40699293] -5.8179041046002995 ;\n",
+      "Epoch 980/1000, Cost: 2.0394\n",
+      " and the parameters are [-3.27880763  4.40703069] -5.817907995523353 ;\n",
+      "Epoch 980/1000, Cost: 4.3301\n",
+      " and the parameters are [-3.27889289  4.40690329] -5.81796479989234 ;\n",
+      "Epoch 980/1000, Cost: 2.1618\n",
+      " and the parameters are [-3.27890986  4.40692012] -5.817958857969126 ;\n",
+      "Epoch 980/1000, Cost: 6.4860\n",
+      " and the parameters are [-3.27896425  4.40690642] -5.81794760702337 ;\n",
+      "Epoch 980/1000, Cost: 3.1346\n",
+      " and the parameters are [-3.27904887  4.40680901] -5.817992560613601 ;\n",
+      "Epoch 980/1000, Cost: 1.5143\n",
+      " and the parameters are [-3.27903646  4.4068785 ] -5.817969209375311 ;\n",
+      "Epoch 980/1000, Cost: 5.3979\n",
+      " and the parameters are [-3.27899846  4.40697265] -5.817916424123379 ;\n",
+      "Epoch 980/1000, Cost: 2.7764\n",
+      " and the parameters are [-3.27905769  4.40701601] -5.8178599489265 ;\n",
+      "Epoch 980/1000, Cost: 2.6698\n",
+      " and the parameters are [-3.27903187  4.40698714] -5.817919516506472 ;\n",
+      "Epoch 980/1000, Cost: 1.6366\n",
+      " and the parameters are [-3.27903623  4.4069362 ] -5.81797347788328 ;\n",
+      "Epoch 980/1000, Cost: 1.1987\n",
+      " and the parameters are [-3.27902776  4.40699278] -5.817959014324724 ;\n",
+      "Epoch 980/1000, Cost: 5.8104\n",
+      " and the parameters are [-3.27903848  4.40684071] -5.818054548962688 ;\n",
+      "Epoch 980/1000, Cost: 2.6458\n",
+      " and the parameters are [-3.27901629  4.4068315 ] -5.818083364414835 ;\n",
+      "Epoch 980/1000, Cost: 1.1754\n",
+      " and the parameters are [-3.27902827  4.40689442] -5.818051418554469 ;\n",
+      "Epoch 980/1000, Cost: 4.4652\n",
+      " and the parameters are [-3.27903697  4.40676251] -5.818149699999808 ;\n",
+      "Epoch 980/1000, Cost: 2.8804\n",
+      " and the parameters are [-3.27911548  4.40668025] -5.818190238676417 ;\n",
+      "Epoch 980/1000, Cost: 2.8380\n",
+      " and the parameters are [-3.27910217  4.40679278] -5.818130718677231 ;\n",
+      "Epoch 980/1000, Cost: 5.7742\n",
+      " and the parameters are [-3.27908426  4.40681123] -5.818118613624564 ;\n",
+      "Epoch 980/1000, Cost: 2.8070\n",
+      " and the parameters are [-3.27911601  4.40679028] -5.818139061346745 ;\n",
+      "Epoch 980/1000, Cost: 4.9735\n",
+      " and the parameters are [-3.27919441  4.40662899] -5.818223401780775 ;\n",
+      "Epoch 980/1000, Cost: 0.5800\n",
+      " and the parameters are [-3.279195    4.40662946] -5.818237945568901 ;\n",
+      "Epoch 980/1000, Cost: 6.1229\n",
+      " and the parameters are [-3.27919648  4.40657361] -5.818275143813154 ;\n",
+      "Epoch 980/1000, Cost: 2.0891\n",
+      " and the parameters are [-3.27922156  4.40657846] -5.818281375471853 ;\n",
+      "Epoch 980/1000, Cost: 1.3175\n",
+      " and the parameters are [-3.27923667  4.40654747] -5.818316555330293 ;\n",
+      "Epoch 980/1000, Cost: 1.9035\n",
+      " and the parameters are [-3.279282    4.40655994] -5.818308931357379 ;\n",
+      "Epoch 980/1000, Cost: 6.5264\n",
+      " and the parameters are [-3.27927149  4.40659006] -5.818276869020059 ;\n",
+      "Epoch 980/1000, Cost: 2.2974\n",
+      " and the parameters are [-3.27930207  4.40661772] -5.818254975644345 ;\n",
+      "Epoch 980/1000, Cost: 1.5156\n",
+      " and the parameters are [-3.27929088  4.40671619] -5.818211284802789 ;\n",
+      "Epoch 980/1000, Cost: 1.5054\n",
+      " and the parameters are [-3.27929539  4.4067737 ] -5.818182477343616 ;\n",
+      "Epoch 980/1000, Cost: 6.9584\n",
+      " and the parameters are [-3.27929091  4.40676958] -5.818166487211285 ;\n",
+      "Epoch 980/1000, Cost: 8.8724\n",
+      " and the parameters are [-3.2792312   4.40679764] -5.818137606524035 ;\n",
+      "Epoch 980/1000, Cost: 2.3569\n",
+      " and the parameters are [-3.27924127  4.40673922] -5.818186832586105 ;\n",
+      "Epoch 980/1000, Cost: 5.0158\n",
+      " and the parameters are [-3.2792362   4.40677967] -5.818157051894332 ;\n",
+      "Epoch 980/1000, Cost: 3.8464\n",
+      " and the parameters are [-3.27926235  4.40687109] -5.8180986814710565 ;\n",
+      "Epoch 980/1000, Cost: 2.5172\n",
+      " and the parameters are [-3.27928236  4.40680908] -5.818143924222857 ;\n",
+      "Epoch 980/1000, Cost: 2.7350\n",
+      " and the parameters are [-3.27932516  4.40682092] -5.818117070773085 ;\n",
+      "Epoch 980/1000, Cost: 3.0102\n",
+      " and the parameters are [-3.27925423  4.40692253] -5.818099700040533 ;\n",
+      "Epoch 980/1000, Cost: 5.0075\n",
+      " and the parameters are [-3.27925788  4.40687803] -5.818136934083027 ;\n",
+      "Epoch 980/1000, Cost: 2.6964\n",
+      " and the parameters are [-3.27929128  4.40690429] -5.818121231815752 ;\n",
+      "Epoch 980/1000, Cost: 2.6817\n",
+      " and the parameters are [-3.27931357  4.40684934] -5.818177256287636 ;\n",
+      "Epoch 980/1000, Cost: 1.6658\n",
+      " and the parameters are [-3.2792783   4.40685762] -5.818213987463204 ;\n",
+      "Epoch 980/1000, Cost: 3.8045\n",
+      " and the parameters are [-3.27927926  4.40694744] -5.818157665596326 ;\n",
+      "Epoch 980/1000, Cost: 2.3634\n",
+      " and the parameters are [-3.27929286  4.40698863] -5.818147057584055 ;\n",
+      "Epoch 980/1000, Cost: 3.8608\n",
+      " and the parameters are [-3.27920454  4.40712264] -5.818103965912282 ;\n",
+      "Epoch 980/1000, Cost: 1.6484\n",
+      " and the parameters are [-3.27918523  4.40712611] -5.818138702039385 ;\n",
+      "Epoch 980/1000, Cost: 1.0999\n",
+      " and the parameters are [-3.27916592  4.40713477] -5.818161434152966 ;\n",
+      "Epoch 980/1000, Cost: 3.2507\n",
+      " and the parameters are [-3.27920611  4.40704841] -5.8182127003132615 ;\n",
+      "Epoch 980/1000, Cost: 0.9645\n",
+      " and the parameters are [-3.27919041  4.4071059 ] -5.818197356851509 ;\n",
+      "Epoch 980/1000, Cost: 3.1491\n",
+      " and the parameters are [-3.27912517  4.40720731] -5.818171837256406 ;\n",
+      "Epoch 980/1000, Cost: 2.6189\n",
+      " and the parameters are [-3.27916286  4.40721057] -5.818162692356675 ;\n",
+      "Epoch 980/1000, Cost: 0.8103\n",
+      " and the parameters are [-3.2791459   4.40726126] -5.818145510565056 ;\n",
+      "Epoch 980/1000, Cost: 2.5815\n",
+      " and the parameters are [-3.27910019  4.40735936] -5.818112485791575 ;\n",
+      "Epoch 980/1000, Cost: 3.9410\n",
+      " and the parameters are [-3.27912318  4.40726416] -5.818174906452117 ;\n",
+      "Epoch 980/1000, Cost: 1.1758\n",
+      " and the parameters are [-3.27912426  4.40726344] -5.818196644948083 ;\n",
+      "Epoch 980/1000, Cost: 2.3770\n",
+      " and the parameters are [-3.27916027  4.40730254] -5.818164817917742 ;\n",
+      "Epoch 980/1000, Cost: 0.3455\n",
+      " and the parameters are [-3.27916911  4.40731305] -5.818162751050346 ;\n",
+      "Epoch 980/1000, Cost: 2.4808\n",
+      " and the parameters are [-3.27915864  4.40736155] -5.81815584592381 ;\n",
+      "Epoch 980/1000, Cost: 1.7436\n",
+      " and the parameters are [-3.27914726  4.40741138] -5.8181469493268265 ;\n",
+      "Epoch 980/1000, Cost: 1.5166\n",
+      " and the parameters are [-3.27916933  4.40741225] -5.818157050002461 ;\n",
+      "Epoch 980/1000, Cost: 1.7724\n",
+      " and the parameters are [-3.279215    4.40741678] -5.818153343090855 ;\n",
+      "Epoch 980/1000, Cost: 1.4121\n",
+      " and the parameters are [-3.27917818  4.40748006] -5.8181483501810005 ;\n",
+      "Epoch 980/1000, Cost: 2.2921\n",
+      " and the parameters are [-3.27917361  4.40752924] -5.8181394135123 ;\n",
+      "Epoch 980/1000, Cost: 2.2554\n",
+      " and the parameters are [-3.27912915  4.40766773] -5.8180911819345065 ;\n",
+      "Epoch 980/1000, Cost: 4.2694\n",
+      " and the parameters are [-3.27910983  4.40759004] -5.8181680001804725 ;\n",
+      "Epoch 980/1000, Cost: 5.8203\n",
+      " and the parameters are [-3.27912166  4.40750762] -5.818215742132942 ;\n",
+      "Epoch 980/1000, Cost: 3.2958\n",
+      " and the parameters are [-3.27910977  4.40753784] -5.818218145192717 ;\n",
+      "Epoch 980/1000, Cost: 2.4824\n",
+      " and the parameters are [-3.27907405  4.40760042] -5.818211061451764 ;\n",
+      "Epoch 980/1000, Cost: 1.7294\n",
+      " and the parameters are [-3.27909825  4.40754837] -5.818256788291618 ;\n",
+      "Epoch 980/1000, Cost: 2.3426\n",
+      " and the parameters are [-3.27912466  4.40750666] -5.818295843139044 ;\n",
+      "Epoch 980/1000, Cost: 3.2540\n",
+      " and the parameters are [-3.27913934  4.40740785] -5.818372173408325 ;\n",
+      "Epoch 980/1000, Cost: 5.8918\n",
+      " and the parameters are [-3.27911281  4.40729192] -5.818465468194623 ;\n",
+      "Epoch 980/1000, Cost: 0.9792\n",
+      " and the parameters are [-3.27912434  4.40729405] -5.81848079765822 ;\n",
+      "Epoch 980/1000, Cost: 6.8659\n",
+      " and the parameters are [-3.27903401  4.40721853] -5.818572405749263 ;\n",
+      "Epoch 980/1000, Cost: 4.5916\n",
+      " and the parameters are [-3.27904142  4.40730644] -5.8185022343340815 ;\n",
+      "Epoch 980/1000, Cost: 1.3484\n",
+      " and the parameters are [-3.27907025  4.40733321] -5.818487278966253 ;\n",
+      "Epoch 980/1000, Cost: 2.7665\n",
+      " and the parameters are [-3.2790435   4.40728077] -5.81855315293663 ;\n",
+      "Epoch 980/1000, Cost: 5.0353\n",
+      " and the parameters are [-3.27907873  4.40734734] -5.818487815481266 ;\n",
+      "Epoch 980/1000, Cost: 1.5973\n",
+      " and the parameters are [-3.27904483  4.40738358] -5.818507441145088 ;\n",
+      "Epoch 980/1000, Cost: 3.1546\n",
+      " and the parameters are [-3.27900749  4.40742537] -5.8185126244397685 ;\n",
+      "Epoch 980/1000, Cost: 3.4415\n",
+      " and the parameters are [-3.2790098   4.40745543] -5.818505099431418 ;\n",
+      "Epoch 980/1000, Cost: 4.5615\n",
+      " and the parameters are [-3.27910535  4.40733896] -5.818552020775724 ;\n",
+      "Epoch 980/1000, Cost: 2.6044\n",
+      " and the parameters are [-3.27906072  4.40733851] -5.818589064984108 ;\n",
+      "Epoch 980/1000, Cost: 0.6497\n",
+      " and the parameters are [-3.27905163  4.40737274] -5.818584257948261 ;\n",
+      "Epoch 980/1000, Cost: 1.4867\n",
+      " and the parameters are [-3.27904369  4.40733405] -5.818641253867467 ;\n",
+      "Epoch 980/1000, Cost: 5.3048\n",
+      " and the parameters are [-3.27906589  4.40737666] -5.818580083929687 ;\n",
+      "Epoch 980/1000, Cost: 2.0498\n",
+      " and the parameters are [-3.2790459   4.40751021] -5.818513884376054 ;\n",
+      "Epoch 980/1000, Cost: 2.4992\n",
+      " and the parameters are [-3.27901915  4.40747702] -5.818580339278493 ;\n",
+      "Epoch 980/1000, Cost: 1.4675\n",
+      " and the parameters are [-3.27902243  4.4074566 ] -5.818616811358768 ;\n",
+      "Epoch 980/1000, Cost: 1.9370\n",
+      " and the parameters are [-3.27902217  4.40751024] -5.818597322772929 ;\n",
+      "Epoch 980/1000, Cost: 7.3442\n",
+      " and the parameters are [-3.2789322   4.40771456] -5.8184982832730086 ;\n",
+      "Epoch 980/1000, Cost: 4.1281\n",
+      " and the parameters are [-3.27896617  4.40762985] -5.818539684992532 ;\n",
+      "Epoch 980/1000, Cost: 1.5538\n",
+      " and the parameters are [-3.27900047  4.40765929] -5.818513663331825 ;\n",
+      "Epoch 980/1000, Cost: 2.3564\n",
+      " and the parameters are [-3.27902754  4.40772886] -5.81847223135837 ;\n",
+      "Epoch 980/1000, Cost: 2.2737\n",
+      " and the parameters are [-3.27903871  4.40774347] -5.818468518209829 ;\n",
+      "Epoch 980/1000, Cost: 1.3484\n",
+      " and the parameters are [-3.27902278  4.40782041] -5.818440666188332 ;\n",
+      "Epoch 980/1000, Cost: 3.3126\n",
+      " and the parameters are [-3.27893428  4.40786667] -5.818479254067945 ;\n",
+      "Epoch 980/1000, Cost: 2.7052\n",
+      " and the parameters are [-3.27899815  4.40786202] -5.818471120761811 ;\n",
+      "Epoch 980/1000, Cost: 2.6919\n",
+      " and the parameters are [-3.27909426  4.40775463] -5.8185204993358015 ;\n",
+      "Epoch 980/1000, Cost: 1.0972\n",
+      " and the parameters are [-3.27908151  4.40774058] -5.81855682201197 ;\n",
+      "Epoch 980/1000, Cost: 3.0599\n",
+      " and the parameters are [-3.2791186   4.40770711] -5.8185655515841725 ;\n",
+      "Epoch 980/1000, Cost: 5.2404\n",
+      " and the parameters are [-3.27912933  4.40776321] -5.818496939377885 ;\n",
+      "Epoch 980/1000, Cost: 1.9910\n",
+      " and the parameters are [-3.2791994   4.40768901] -5.818533584025585 ;\n",
+      "Epoch 980/1000, Cost: 2.8942\n",
+      " and the parameters are [-3.27918128  4.40774237] -5.81853283972885 ;\n",
+      "Epoch 980/1000, Cost: 1.0895\n",
+      " and the parameters are [-3.27916389  4.40780822] -5.818509336486195 ;\n",
+      "Epoch 980/1000, Cost: 0.7810\n",
+      " and the parameters are [-3.2791588   4.40780141] -5.818533327658071 ;\n",
+      "Epoch 980/1000, Cost: 5.5040\n",
+      " and the parameters are [-3.27919764  4.40768311] -5.818593140670487 ;\n",
+      "Epoch 980/1000, Cost: 7.2068\n",
+      " and the parameters are [-3.27934511  4.40744319] -5.818671237659756 ;\n",
+      "Epoch 980/1000, Cost: 1.0207\n",
+      " and the parameters are [-3.27934854  4.40743537] -5.818691198644937 ;\n",
+      "Epoch 980/1000, Cost: 1.5637\n",
+      " and the parameters are [-3.2793493   4.40746113] -5.818699454761299 ;\n",
+      "Epoch 980/1000, Cost: 3.9984\n",
+      " and the parameters are [-3.27937178  4.40746892] -5.818684753268433 ;\n",
+      "Epoch 980/1000, Cost: 1.4013\n",
+      " and the parameters are [-3.27936992  4.40745375] -5.818726911565734 ;\n",
+      "Epoch 980/1000, Cost: 5.2837\n",
+      " and the parameters are [-3.27948183  4.40737631] -5.818735910285436 ;\n",
+      "Epoch 980/1000, Cost: 1.2337\n",
+      " and the parameters are [-3.27945548  4.40738492] -5.818762217426525 ;\n",
+      "Epoch 990/1000, Cost: 2.2021\n",
+      " and the parameters are [-3.28669955  4.41672531] -5.831794570258089 ;\n",
+      "Epoch 990/1000, Cost: 3.4600\n",
+      " and the parameters are [-3.28673409  4.41665756] -5.8318350406482375 ;\n",
+      "Epoch 990/1000, Cost: 2.0054\n",
+      " and the parameters are [-3.28667471  4.41666762] -5.831884353282856 ;\n",
+      "Epoch 990/1000, Cost: 2.8897\n",
+      " and the parameters are [-3.28661483  4.41680088] -5.831834572703429 ;\n",
+      "Epoch 990/1000, Cost: 1.4183\n",
+      " and the parameters are [-3.28666272  4.41678595] -5.83184449485017 ;\n",
+      "Epoch 990/1000, Cost: 1.2980\n",
+      " and the parameters are [-3.28665558  4.41683131] -5.831838793978414 ;\n",
+      "Epoch 990/1000, Cost: 7.1721\n",
+      " and the parameters are [-3.28668885  4.41675176] -5.831861750198002 ;\n",
+      "Epoch 990/1000, Cost: 1.3610\n",
+      " and the parameters are [-3.28670717  4.41674259] -5.83188399568541 ;\n",
+      "Epoch 990/1000, Cost: 0.8006\n",
+      " and the parameters are [-3.28670866  4.41674178] -5.831902017085379 ;\n",
+      "Epoch 990/1000, Cost: 4.6746\n",
+      " and the parameters are [-3.28679258  4.41673477] -5.831862479057052 ;\n",
+      "Epoch 990/1000, Cost: 1.0371\n",
+      " and the parameters are [-3.28680183  4.41673068] -5.831875748816659 ;\n",
+      "Epoch 990/1000, Cost: 1.9447\n",
+      " and the parameters are [-3.28686808  4.41673112] -5.831842072399505 ;\n",
+      "Epoch 990/1000, Cost: 0.9739\n",
+      " and the parameters are [-3.2868765   4.41673507] -5.8318555078206 ;\n",
+      "Epoch 990/1000, Cost: 2.7137\n",
+      " and the parameters are [-3.28687055  4.41680836] -5.831826461857066 ;\n",
+      "Epoch 990/1000, Cost: 0.7667\n",
+      " and the parameters are [-3.28686574  4.41681337] -5.8318426083734725 ;\n",
+      "Epoch 990/1000, Cost: 3.5067\n",
+      " and the parameters are [-3.28681798  4.41678516] -5.831902479686375 ;\n",
+      "Epoch 990/1000, Cost: 10.5090\n",
+      " and the parameters are [-3.28692679  4.41674773] -5.831836645015587 ;\n",
+      "Epoch 990/1000, Cost: 2.1715\n",
+      " and the parameters are [-3.28695233  4.41667746] -5.831890073242266 ;\n",
+      "Epoch 990/1000, Cost: 1.3900\n",
+      " and the parameters are [-3.28692496  4.41667294] -5.831923256131847 ;\n",
+      "Epoch 990/1000, Cost: 3.8274\n",
+      " and the parameters are [-3.28689634  4.41674001] -5.831907277290284 ;\n",
+      "Epoch 990/1000, Cost: 1.8898\n",
+      " and the parameters are [-3.28688981  4.41682779] -5.831860025185152 ;\n",
+      "Epoch 990/1000, Cost: 3.1514\n",
+      " and the parameters are [-3.28694036  4.41685122] -5.831818743075366 ;\n",
+      "Epoch 990/1000, Cost: 2.4056\n",
+      " and the parameters are [-3.28690784  4.41695839] -5.831778408131614 ;\n",
+      "Epoch 990/1000, Cost: 3.0827\n",
+      " and the parameters are [-3.28688728  4.4169259 ] -5.831815556003052 ;\n",
+      "Epoch 990/1000, Cost: 1.9527\n",
+      " and the parameters are [-3.28686073  4.41695037] -5.831836268221735 ;\n",
+      "Epoch 990/1000, Cost: 1.5207\n",
+      " and the parameters are [-3.2868602   4.41701096] -5.8318155303647945 ;\n",
+      "Epoch 990/1000, Cost: 3.9928\n",
+      " and the parameters are [-3.28681725  4.41692285] -5.831924560723913 ;\n",
+      "Epoch 990/1000, Cost: 7.3885\n",
+      " and the parameters are [-3.2867982  4.416999 ] -5.831862026522844 ;\n",
+      "Epoch 990/1000, Cost: 1.6119\n",
+      " and the parameters are [-3.28675789  4.41710503] -5.831820600382933 ;\n",
+      "Epoch 990/1000, Cost: 1.9818\n",
+      " and the parameters are [-3.28680901  4.41703733] -5.831860508379395 ;\n",
+      "Epoch 990/1000, Cost: 3.5510\n",
+      " and the parameters are [-3.28681872  4.41698707] -5.83192846305583 ;\n",
+      "Epoch 990/1000, Cost: 5.2189\n",
+      " and the parameters are [-3.28686572  4.41695763] -5.831938151382832 ;\n",
+      "Epoch 990/1000, Cost: 4.1570\n",
+      " and the parameters are [-3.28675628  4.41709721] -5.831896150819569 ;\n",
+      "Epoch 990/1000, Cost: 2.2683\n",
+      " and the parameters are [-3.28674084  4.41717485] -5.831861927665241 ;\n",
+      "Epoch 990/1000, Cost: 0.6305\n",
+      " and the parameters are [-3.28674736  4.41718238] -5.831869883768155 ;\n",
+      "Epoch 990/1000, Cost: 3.9226\n",
+      " and the parameters are [-3.28677596  4.41710332] -5.831934110444249 ;\n",
+      "Epoch 990/1000, Cost: 7.6722\n",
+      " and the parameters are [-3.28672621  4.41702481] -5.831992035903502 ;\n",
+      "Epoch 990/1000, Cost: 0.6462\n",
+      " and the parameters are [-3.28674196  4.41703178] -5.83199373324326 ;\n",
+      "Epoch 990/1000, Cost: 1.7980\n",
+      " and the parameters are [-3.28674564  4.41702752] -5.832004516491368 ;\n",
+      "Epoch 990/1000, Cost: 3.2234\n",
+      " and the parameters are [-3.2867137   4.41698648] -5.832065055992721 ;\n",
+      "Epoch 990/1000, Cost: 3.2756\n",
+      " and the parameters are [-3.28665519  4.41695885] -5.832111492064038 ;\n",
+      "Epoch 990/1000, Cost: 3.3949\n",
+      " and the parameters are [-3.28655133  4.41702966] -5.832135157744836 ;\n",
+      "Epoch 990/1000, Cost: 5.7014\n",
+      " and the parameters are [-3.28660199  4.41693684] -5.832158333828574 ;\n",
+      "Epoch 990/1000, Cost: 3.8808\n",
+      " and the parameters are [-3.28668513  4.41680904] -5.8322184191655255 ;\n",
+      "Epoch 990/1000, Cost: 2.6242\n",
+      " and the parameters are [-3.28661125  4.41691393] -5.832202921981783 ;\n",
+      "Epoch 990/1000, Cost: 0.8794\n",
+      " and the parameters are [-3.28661875  4.41694742] -5.832193125450402 ;\n",
+      "Epoch 990/1000, Cost: 3.9584\n",
+      " and the parameters are [-3.28662536  4.41698465] -5.832163817822315 ;\n",
+      "Epoch 990/1000, Cost: 2.9940\n",
+      " and the parameters are [-3.2865782   4.41705519] -5.8321492733969365 ;\n",
+      "Epoch 990/1000, Cost: 2.7783\n",
+      " and the parameters are [-3.28661557  4.41713172] -5.832074479283396 ;\n",
+      "Epoch 990/1000, Cost: 3.3253\n",
+      " and the parameters are [-3.28657556  4.41725915] -5.832018323541741 ;\n",
+      "Epoch 990/1000, Cost: 2.3983\n",
+      " and the parameters are [-3.28660768  4.417264  ] -5.832021378828581 ;\n",
+      "Epoch 990/1000, Cost: 6.0631\n",
+      " and the parameters are [-3.28656287  4.41724641] -5.832049098496261 ;\n",
+      "Epoch 990/1000, Cost: 4.8043\n",
+      " and the parameters are [-3.28661162  4.4172019 ] -5.8320745763958115 ;\n",
+      "Epoch 990/1000, Cost: 1.4285\n",
+      " and the parameters are [-3.28666699  4.41719028] -5.832070674016964 ;\n",
+      "Epoch 990/1000, Cost: 6.4217\n",
+      " and the parameters are [-3.28676143  4.41711263] -5.832074322475215 ;\n",
+      "Epoch 990/1000, Cost: 4.7389\n",
+      " and the parameters are [-3.28679724  4.41710591] -5.8320539590990235 ;\n",
+      "Epoch 990/1000, Cost: 3.5078\n",
+      " and the parameters are [-3.2867734   4.41716488] -5.832038784126528 ;\n",
+      "Epoch 990/1000, Cost: 5.5690\n",
+      " and the parameters are [-3.28677675  4.41705751] -5.832112780304234 ;\n",
+      "Epoch 990/1000, Cost: 0.5854\n",
+      " and the parameters are [-3.28679307  4.41705199] -5.832122240436803 ;\n",
+      "Epoch 990/1000, Cost: 8.7425\n",
+      " and the parameters are [-3.28677055  4.41687147] -5.832226636817666 ;\n",
+      "Epoch 990/1000, Cost: 5.2798\n",
+      " and the parameters are [-3.28677117  4.41684582] -5.83225173106311 ;\n",
+      "Epoch 990/1000, Cost: 1.4653\n",
+      " and the parameters are [-3.28675528  4.41683449] -5.832288438707959 ;\n",
+      "Epoch 990/1000, Cost: 1.5057\n",
+      " and the parameters are [-3.28674736  4.41684255] -5.8323125884022184 ;\n",
+      "Epoch 990/1000, Cost: 1.8671\n",
+      " and the parameters are [-3.2867874   4.41685846] -5.832294715657132 ;\n",
+      "Epoch 990/1000, Cost: 0.7690\n",
+      " and the parameters are [-3.28680939  4.41687044] -5.832291322113551 ;\n",
+      "Epoch 990/1000, Cost: 2.3104\n",
+      " and the parameters are [-3.28686505  4.41687048] -5.832276983857521 ;\n",
+      "Epoch 990/1000, Cost: 1.9396\n",
+      " and the parameters are [-3.28686381  4.41696603] -5.8322298268422985 ;\n",
+      "Epoch 990/1000, Cost: 3.6948\n",
+      " and the parameters are [-3.28684113  4.41698812] -5.832234832708919 ;\n",
+      "Epoch 990/1000, Cost: 1.2688\n",
+      " and the parameters are [-3.28687329  4.41699745] -5.832222152275565 ;\n",
+      "Epoch 990/1000, Cost: 2.9134\n",
+      " and the parameters are [-3.28684425  4.41705079] -5.832219920828963 ;\n",
+      "Epoch 990/1000, Cost: 1.4592\n",
+      " and the parameters are [-3.28687548  4.41706788] -5.832205442378068 ;\n",
+      "Epoch 990/1000, Cost: 3.8284\n",
+      " and the parameters are [-3.28684872  4.41696146] -5.832315928921878 ;\n",
+      "Epoch 990/1000, Cost: 1.5209\n",
+      " and the parameters are [-3.28682197  4.41703712] -5.832290595578 ;\n",
+      "Epoch 990/1000, Cost: 4.0946\n",
+      " and the parameters are [-3.28678051  4.41721427] -5.832198227369616 ;\n",
+      "Epoch 990/1000, Cost: 6.4034\n",
+      " and the parameters are [-3.28690566  4.41732517] -5.832045500498294 ;\n",
+      "Epoch 990/1000, Cost: 3.7511\n",
+      " and the parameters are [-3.28689157  4.41742982] -5.831987987998289 ;\n",
+      "Epoch 990/1000, Cost: 0.7950\n",
+      " and the parameters are [-3.28690582  4.41746026] -5.831975891708433 ;\n",
+      "Epoch 990/1000, Cost: 4.1577\n",
+      " and the parameters are [-3.28690677  4.4173761 ] -5.832034721035605 ;\n",
+      "Epoch 990/1000, Cost: 1.4630\n",
+      " and the parameters are [-3.28690973  4.41737725] -5.832052391871128 ;\n",
+      "Epoch 990/1000, Cost: 4.0776\n",
+      " and the parameters are [-3.28697272  4.41741175] -5.832011174363941 ;\n",
+      "Epoch 990/1000, Cost: 1.2505\n",
+      " and the parameters are [-3.28699007  4.41746641] -5.831983159137874 ;\n",
+      "Epoch 990/1000, Cost: 1.0652\n",
+      " and the parameters are [-3.28700445  4.41744982] -5.832006968253397 ;\n",
+      "Epoch 990/1000, Cost: 1.1038\n",
+      " and the parameters are [-3.28701121  4.4174882 ] -5.831998367703319 ;\n",
+      "Epoch 990/1000, Cost: 3.0296\n",
+      " and the parameters are [-3.28691666  4.41758126] -5.832000675142631 ;\n",
+      "Epoch 990/1000, Cost: 1.9045\n",
+      " and the parameters are [-3.28688851  4.41755245] -5.8320427429478086 ;\n",
+      "Epoch 990/1000, Cost: 2.5974\n",
+      " and the parameters are [-3.28687321  4.41763768] -5.8320021166718226 ;\n",
+      "Epoch 990/1000, Cost: 3.5781\n",
+      " and the parameters are [-3.28687997  4.41763882] -5.832011851453655 ;\n",
+      "Epoch 990/1000, Cost: 3.0118\n",
+      " and the parameters are [-3.28693453  4.41758247] -5.832047597502049 ;\n",
+      "Epoch 990/1000, Cost: 2.3950\n",
+      " and the parameters are [-3.28701816  4.4175051 ] -5.832084040848196 ;\n",
+      "Epoch 990/1000, Cost: 3.3250\n",
+      " and the parameters are [-3.2871264   4.41729915] -5.832193929725145 ;\n",
+      "Epoch 990/1000, Cost: 1.8299\n",
+      " and the parameters are [-3.28713077  4.41727152] -5.832239062550227 ;\n",
+      "Epoch 990/1000, Cost: 2.6614\n",
+      " and the parameters are [-3.28714686  4.41723612] -5.832276556817765 ;\n",
+      "Epoch 990/1000, Cost: 2.7235\n",
+      " and the parameters are [-3.28719304  4.41722089] -5.832283170161176 ;\n",
+      "Epoch 990/1000, Cost: 2.5794\n",
+      " and the parameters are [-3.28721492  4.41721732] -5.832292851721261 ;\n",
+      "Epoch 990/1000, Cost: 0.9289\n",
+      " and the parameters are [-3.28720594  4.41725607] -5.832285389939701 ;\n",
+      "Epoch 990/1000, Cost: 3.3607\n",
+      " and the parameters are [-3.28730022  4.41716746] -5.832320981487102 ;\n",
+      "Epoch 990/1000, Cost: 3.1622\n",
+      " and the parameters are [-3.28734624  4.41709512] -5.832369829072491 ;\n",
+      "Epoch 990/1000, Cost: 1.4529\n",
+      " and the parameters are [-3.28730249  4.41711442] -5.832398897928475 ;\n",
+      "Epoch 990/1000, Cost: 1.0752\n",
+      " and the parameters are [-3.28733775  4.41708506] -5.832418308976344 ;\n",
+      "Epoch 990/1000, Cost: 2.0606\n",
+      " and the parameters are [-3.28736019  4.41710528] -5.832415131580358 ;\n",
+      "Epoch 990/1000, Cost: 4.5782\n",
+      " and the parameters are [-3.28733772  4.41713653] -5.832390744152687 ;\n",
+      "Epoch 990/1000, Cost: 1.4340\n",
+      " and the parameters are [-3.28734278  4.41716307] -5.832390371832739 ;\n",
+      "Epoch 990/1000, Cost: 2.1564\n",
+      " and the parameters are [-3.28731416  4.41719644] -5.832406971653961 ;\n",
+      "Epoch 990/1000, Cost: 3.6265\n",
+      " and the parameters are [-3.28729959  4.41732498] -5.8323469190636015 ;\n",
+      "Epoch 990/1000, Cost: 2.0959\n",
+      " and the parameters are [-3.28733588  4.41727055] -5.832387090170567 ;\n",
+      "Epoch 990/1000, Cost: 3.7325\n",
+      " and the parameters are [-3.28734025  4.41721504] -5.832430306300086 ;\n",
+      "Epoch 990/1000, Cost: 2.0323\n",
+      " and the parameters are [-3.28733898  4.41716052] -5.832477069211744 ;\n",
+      "Epoch 990/1000, Cost: 2.9322\n",
+      " and the parameters are [-3.28732972  4.41727716] -5.832403108418098 ;\n",
+      "Epoch 990/1000, Cost: 6.0754\n",
+      " and the parameters are [-3.28731729  4.41726719] -5.832409137278086 ;\n",
+      "Epoch 990/1000, Cost: 4.1329\n",
+      " and the parameters are [-3.28732363  4.41714387] -5.832487583015314 ;\n",
+      "Epoch 990/1000, Cost: 2.0661\n",
+      " and the parameters are [-3.28730534  4.41710931] -5.832549134796022 ;\n",
+      "Epoch 990/1000, Cost: 6.9454\n",
+      " and the parameters are [-3.28738101  4.41685994] -5.832709552917633 ;\n",
+      "Epoch 990/1000, Cost: 0.8466\n",
+      " and the parameters are [-3.28738858  4.41687934] -5.832710321655148 ;\n",
+      "Epoch 990/1000, Cost: 4.2403\n",
+      " and the parameters are [-3.28743775  4.41684418] -5.832728698037435 ;\n",
+      "Epoch 990/1000, Cost: 4.8575\n",
+      " and the parameters are [-3.28753718  4.41669443] -5.832805944059026 ;\n",
+      "Epoch 990/1000, Cost: 1.9320\n",
+      " and the parameters are [-3.28756105  4.41663362] -5.832860165262371 ;\n",
+      "Epoch 990/1000, Cost: 1.4132\n",
+      " and the parameters are [-3.28757566  4.41664172] -5.832866615551867 ;\n",
+      "Epoch 990/1000, Cost: 2.3020\n",
+      " and the parameters are [-3.28759401  4.41668813] -5.832847975025084 ;\n",
+      "Epoch 990/1000, Cost: 5.4917\n",
+      " and the parameters are [-3.28773472  4.4166557 ] -5.8328032723204215 ;\n",
+      "Epoch 990/1000, Cost: 2.8709\n",
+      " and the parameters are [-3.28767691  4.41666956] -5.832826840317894 ;\n",
+      "Epoch 990/1000, Cost: 5.3295\n",
+      " and the parameters are [-3.28766632  4.41674812] -5.832761858635854 ;\n",
+      "Epoch 990/1000, Cost: 2.1479\n",
+      " and the parameters are [-3.28768822  4.41667758] -5.832819959412712 ;\n",
+      "Epoch 990/1000, Cost: 0.8454\n",
+      " and the parameters are [-3.28768688  4.41672742] -5.8328022119304865 ;\n",
+      "Epoch 990/1000, Cost: 4.2441\n",
+      " and the parameters are [-3.28760864  4.41676218] -5.832825774015076 ;\n",
+      "Epoch 990/1000, Cost: 5.9462\n",
+      " and the parameters are [-3.28764821  4.41674893] -5.832810296761204 ;\n",
+      "Epoch 990/1000, Cost: 0.8405\n",
+      " and the parameters are [-3.28764073  4.41679904] -5.832795851191331 ;\n",
+      "Epoch 990/1000, Cost: 4.0700\n",
+      " and the parameters are [-3.28769484  4.41682287] -5.832776214533068 ;\n",
+      "Epoch 990/1000, Cost: 1.0557\n",
+      " and the parameters are [-3.28769401  4.41684632] -5.832777492052632 ;\n",
+      "Epoch 990/1000, Cost: 3.2567\n",
+      " and the parameters are [-3.28770555  4.41680011] -5.832820703144398 ;\n",
+      "Epoch 990/1000, Cost: 6.8959\n",
+      " and the parameters are [-3.28767898  4.4169019 ] -5.832739508017418 ;\n",
+      "Epoch 990/1000, Cost: 0.4314\n",
+      " and the parameters are [-3.28767677  4.4168978 ] -5.832754817880572 ;\n",
+      "Epoch 990/1000, Cost: 6.5088\n",
+      " and the parameters are [-3.28766288  4.41700722] -5.832667357030757 ;\n",
+      "Epoch 990/1000, Cost: 3.4228\n",
+      " and the parameters are [-3.28768692  4.4169922 ] -5.832674810118224 ;\n",
+      "Epoch 990/1000, Cost: 1.1982\n",
+      " and the parameters are [-3.28770658  4.41701286] -5.832664182253275 ;\n",
+      "Epoch 990/1000, Cost: 3.0695\n",
+      " and the parameters are [-3.2876823  4.4170181] -5.83270214146811 ;\n",
+      "Epoch 990/1000, Cost: 1.2450\n",
+      " and the parameters are [-3.28767409  4.41707912] -5.832679664721702 ;\n",
+      "Epoch 990/1000, Cost: 1.5086\n",
+      " and the parameters are [-3.28764888  4.41707441] -5.832722131925115 ;\n",
+      "Epoch 990/1000, Cost: 2.5547\n",
+      " and the parameters are [-3.28763005  4.41720562] -5.832645325703248 ;\n",
+      "Epoch 990/1000, Cost: 4.9863\n",
+      " and the parameters are [-3.28768249  4.41714138] -5.8326790957553625 ;\n",
+      "Epoch 990/1000, Cost: 0.8819\n",
+      " and the parameters are [-3.28769637  4.41712405] -5.832697973842851 ;\n",
+      "Epoch 990/1000, Cost: 0.6094\n",
+      " and the parameters are [-3.28768205  4.41714694] -5.832702839136814 ;\n",
+      "Epoch 990/1000, Cost: 2.4425\n",
+      " and the parameters are [-3.28773499  4.41706225] -5.83276465119427 ;\n",
+      "Epoch 990/1000, Cost: 6.1380\n",
+      " and the parameters are [-3.28783403  4.41701178] -5.832731806897911 ;\n",
+      "Epoch 990/1000, Cost: 7.8570\n",
+      " and the parameters are [-3.2877335   4.41713223] -5.83269577283178 ;\n",
+      "Epoch 990/1000, Cost: 1.3474\n",
+      " and the parameters are [-3.28770288  4.4172274 ] -5.832658905756251 ;\n",
+      "Epoch 990/1000, Cost: 2.7003\n",
+      " and the parameters are [-3.28768402  4.41717377] -5.832726193696669 ;\n",
+      "Epoch 990/1000, Cost: 1.4094\n",
+      " and the parameters are [-3.28765757  4.41724065] -5.8327091990109965 ;\n",
+      "Epoch 990/1000, Cost: 5.3780\n",
+      " and the parameters are [-3.28765136  4.41722289] -5.832719092277576 ;\n",
+      "Epoch 990/1000, Cost: 2.3593\n",
+      " and the parameters are [-3.28767686  4.41716352] -5.832767952118803 ;\n",
+      "Epoch 990/1000, Cost: 2.1316\n",
+      " and the parameters are [-3.28765918  4.4171729 ] -5.8327953398759815 ;\n",
+      "Epoch 990/1000, Cost: 1.7102\n",
+      " and the parameters are [-3.2877046   4.41710517] -5.8328399269563285 ;\n",
+      "Epoch 990/1000, Cost: 3.0430\n",
+      " and the parameters are [-3.2876691   4.41712224] -5.832853436447072 ;\n",
+      "Epoch 990/1000, Cost: 4.4298\n",
+      " and the parameters are [-3.28767179  4.41714315] -5.832838273239826 ;\n",
+      "Epoch 990/1000, Cost: 7.7132\n",
+      " and the parameters are [-3.2876201   4.41710927] -5.832887938939105 ;\n",
+      "Epoch 990/1000, Cost: 2.3618\n",
+      " and the parameters are [-3.28764084  4.41709592] -5.8329122822681265 ;\n",
+      "Epoch 990/1000, Cost: 1.9741\n",
+      " and the parameters are [-3.28763731  4.41705687] -5.832970189839061 ;\n",
+      "Epoch 990/1000, Cost: 2.7661\n",
+      " and the parameters are [-3.28767304  4.41701487] -5.8330031860111315 ;\n",
+      "Epoch 990/1000, Cost: 1.6482\n",
+      " and the parameters are [-3.28762349  4.41707255] -5.833006854285947 ;\n",
+      "Epoch 990/1000, Cost: 2.3021\n",
+      " and the parameters are [-3.28765291  4.41707222] -5.833005222835258 ;\n",
+      "Epoch 990/1000, Cost: 3.6676\n",
+      " and the parameters are [-3.28772237  4.417071  ] -5.832993719682901 ;\n",
+      "Epoch 990/1000, Cost: 1.8780\n",
+      " and the parameters are [-3.28767281  4.41718743] -5.832953359280483 ;\n",
+      "Epoch 990/1000, Cost: 1.0823\n",
+      " and the parameters are [-3.28767342  4.4172258 ] -5.8329443095739535 ;\n",
+      "Epoch 990/1000, Cost: 1.8987\n",
+      " and the parameters are [-3.2877418  4.4171707] -5.832977962702633 ;\n",
+      "Epoch 990/1000, Cost: 1.9718\n",
+      " and the parameters are [-3.28769445  4.41721953] -5.832988772583862 ;\n",
+      "Epoch 990/1000, Cost: 3.6737\n",
+      " and the parameters are [-3.2876772   4.41731573] -5.832941384284332 ;\n",
+      "Epoch 990/1000, Cost: 2.3017\n",
+      " and the parameters are [-3.28765151  4.41735059] -5.832947155424683 ;\n",
+      "Epoch 990/1000, Cost: 1.6318\n",
+      " and the parameters are [-3.28761232  4.4173795 ] -5.832968570285704 ;\n",
+      "Epoch 990/1000, Cost: 0.9671\n",
+      " and the parameters are [-3.28759747  4.41741307] -5.832967411737663 ;\n",
+      "Epoch 990/1000, Cost: 3.6712\n",
+      " and the parameters are [-3.28763849  4.41728169] -5.833056424768532 ;\n",
+      "Epoch 990/1000, Cost: 1.2977\n",
+      " and the parameters are [-3.28762986  4.41729556] -5.833072292052265 ;\n",
+      "Epoch 990/1000, Cost: 3.7471\n",
+      " and the parameters are [-3.28762962  4.41738244] -5.8330087602893625 ;\n",
+      "Epoch 990/1000, Cost: 2.3822\n",
+      " and the parameters are [-3.28762857  4.41736342] -5.833035757066662 ;\n",
+      "Epoch 990/1000, Cost: 1.8351\n",
+      " and the parameters are [-3.2876292   4.41738008] -5.833047351833206 ;\n",
+      "Epoch 990/1000, Cost: 5.4072\n",
+      " and the parameters are [-3.28741117  4.41746486] -5.833115047117228 ;\n",
+      "Epoch 990/1000, Cost: 1.4400\n",
+      " and the parameters are [-3.28740348  4.41749672] -5.833112484913159 ;\n",
+      "Epoch 990/1000, Cost: 2.9334\n",
+      " and the parameters are [-3.28745409  4.41745618] -5.833131693053172 ;\n",
+      "Epoch 990/1000, Cost: 4.9009\n",
+      " and the parameters are [-3.28750322  4.41732065] -5.833216195026969 ;\n",
+      "Epoch 990/1000, Cost: 2.2441\n",
+      " and the parameters are [-3.28751277  4.41729632] -5.833243428472439 ;\n",
+      "Epoch 990/1000, Cost: 1.8504\n",
+      " and the parameters are [-3.28749184  4.41737313] -5.833224235557845 ;\n",
+      "Epoch 990/1000, Cost: 2.8698\n",
+      " and the parameters are [-3.28747192  4.41748147] -5.833169670321751 ;\n",
+      "Epoch 990/1000, Cost: 1.4566\n",
+      " and the parameters are [-3.28748756  4.41747232] -5.833192244008409 ;\n",
+      "Epoch 990/1000, Cost: 2.0608\n",
+      " and the parameters are [-3.28749436  4.4175281 ] -5.833168719050205 ;\n",
+      "Epoch 990/1000, Cost: 1.2904\n",
+      " and the parameters are [-3.28748906  4.41749267] -5.833219966359759 ;\n",
+      "Epoch 990/1000, Cost: 0.7728\n",
+      " and the parameters are [-3.2875166   4.41749964] -5.8332151188738885 ;\n",
+      "Epoch 990/1000, Cost: 2.4901\n",
+      " and the parameters are [-3.28751099  4.41759614] -5.833173061656829 ;\n",
+      "Epoch 990/1000, Cost: 2.9199\n",
+      " and the parameters are [-3.28749198  4.41754774] -5.83322737860036 ;\n",
+      "Epoch 990/1000, Cost: 3.9418\n",
+      " and the parameters are [-3.28751211  4.41757374] -5.833216220293569 ;\n",
+      "Epoch 990/1000, Cost: 6.2309\n",
+      " and the parameters are [-3.28742262  4.41751998] -5.833298016082526 ;\n",
+      "Epoch 990/1000, Cost: 3.7628\n",
+      " and the parameters are [-3.28749021  4.41750054] -5.833286923402578 ;\n",
+      "Epoch 990/1000, Cost: 1.7037\n",
+      " and the parameters are [-3.28754674  4.41743747] -5.833324147605001 ;\n",
+      "Epoch 990/1000, Cost: 3.4511\n",
+      " and the parameters are [-3.28759831  4.41737003] -5.833363529578069 ;\n",
+      "Epoch 990/1000, Cost: 3.3479\n",
+      " and the parameters are [-3.28760053  4.41742996] -5.83333655469877 ;\n",
+      "Epoch 990/1000, Cost: 1.5822\n",
+      " and the parameters are [-3.28761508  4.41745059] -5.833333830936666 ;\n",
+      "Epoch 990/1000, Cost: 1.2403\n",
+      " and the parameters are [-3.28758722  4.4175105 ] -5.8333252829361415 ;\n",
+      "Epoch 990/1000, Cost: 7.9956\n",
+      " and the parameters are [-3.28755528  4.417585  ] -5.833254234550571 ;\n",
+      "Epoch 990/1000, Cost: 2.2725\n",
+      " and the parameters are [-3.28758738  4.41763023] -5.833225144636692 ;\n",
+      "Epoch 990/1000, Cost: 0.8070\n",
+      " and the parameters are [-3.287569    4.41765072] -5.83323606597871 ;\n",
+      "Epoch 990/1000, Cost: 1.5158\n",
+      " and the parameters are [-3.28755013  4.41769699] -5.833229415701634 ;\n",
+      "Epoch 990/1000, Cost: 6.5238\n",
+      " and the parameters are [-3.28758683  4.41761498] -5.833260163513625 ;\n",
+      "Epoch 990/1000, Cost: 3.2572\n",
+      " and the parameters are [-3.28757793  4.41765852] -5.833237726952331 ;\n"
+     ]
+    }
+   ],
+   "execution_count": 64
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:47:35.522758Z",
+     "start_time": "2025-03-19T09:47:35.500853Z"
+    }
+   },
    "source": [
     "# when n//batch_size=0\n",
     "x = np.array(['a', 'b', 'c', 'd', 'e', 'f'])\n",
@@ -762,13 +40779,28 @@
     "for i in range(0, n, batch_size):\n",
     "    print(f\"batch number {j}\", x_shuffled[i:i + batch_size])\n",
     "    j += 1"
-   ]
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "batch number 0 ['e' 'b']\n",
+      "batch number 1 ['a' 'd']\n",
+      "batch number 2 ['c' 'f']\n"
+     ]
+    }
+   ],
+   "execution_count": 55
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:47:36.146264Z",
+     "start_time": "2025-03-19T09:47:36.142238Z"
+    }
+   },
    "source": [
     "#when n//batch_size different from zero. \n",
     "x = np.array(['a', 'b', 'c', 'd', 'e', 'f', 'g'])\n",
@@ -781,21 +40813,20 @@
     "for i in range(0, n, batch_size):\n",
     "    print(f\"batch number {j}\", x_shuffled[i:i + batch_size])\n",
     "    j += 1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "batch number 0 ['a' 'g']\n",
+      "batch number 1 ['b' 'c']\n",
+      "batch number 2 ['f' 'e']\n",
+      "batch number 3 ['d']\n"
+     ]
+    }
+   ],
+   "execution_count": 56
   },
   {
    "cell_type": "markdown",
@@ -813,55 +40844,122 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:57:02.992900Z",
+     "start_time": "2025-03-19T09:57:02.961126Z"
+    }
+   },
    "source": [
-    "w_SGD, b_SGD, costs_SGD = mini_batch_SGD(X, y,\n",
-    "                                         learning_rate=5e-4, batch_size=1000, epochs=30)\n",
+    "w_SGD, b_SGD, costs_SGD = mini_batch_SGD(X, y, learning_rate=5e-4, batch_size=1000, epochs=30)\n",
     "\n",
     "print(\"The parameters computed by stochastic gradient descent are: \", w_SGD, b_SGD)\n"
-   ]
+   ],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 0/30, Cost: 517.4821\n",
+      " and the parameters are [0.0100902  0.34872694] 0.0005 ;\n",
+      "Epoch 0/30, Cost: 481.5803\n",
+      " and the parameters are [-0.02038284  0.49817735] -0.05840138420715016 ;\n",
+      "Epoch 0/30, Cost: 451.6845\n",
+      " and the parameters are [-0.05604284  0.59840067] -0.12322652166577681 ;\n",
+      "Epoch 0/30, Cost: 427.9511\n",
+      " and the parameters are [-0.09907442  0.67537289] -0.1920781407971993 ;\n",
+      "Epoch 0/30, Cost: 393.2649\n",
+      " and the parameters are [-0.12768148  0.75186105] -0.25711154818603743 ;\n",
+      "Epoch 0/30, Cost: 379.5035\n",
+      " and the parameters are [-0.16517607  0.80707822] -0.32320945265453194 ;\n",
+      "Epoch 0/30, Cost: 372.7068\n",
+      " and the parameters are [-0.21037082  0.84940112] -0.39301979569594525 ;\n",
+      "Epoch 0/30, Cost: 352.3565\n",
+      " and the parameters are [-0.24378167  0.89731213] -0.4539372118721294 ;\n",
+      "Epoch 0/30, Cost: 346.1305\n",
+      " and the parameters are [-0.27733977  0.9315336 ] -0.5182412337372836 ;\n",
+      "Epoch 0/30, Cost: 344.1426\n",
+      " and the parameters are [-0.32075489  0.95664215] -0.5869673362344282 ;\n",
+      "Epoch 10/30, Cost: 120.5919\n",
+      " and the parameters are [-1.56276564  2.30411366] -2.7667761766114665 ;\n",
+      "Epoch 10/30, Cost: 106.4657\n",
+      " and the parameters are [-1.57145409  2.31107808] -2.77772372603069 ;\n",
+      "Epoch 10/30, Cost: 110.2785\n",
+      " and the parameters are [-1.57668725  2.32165009] -2.7887195984588864 ;\n",
+      "Epoch 10/30, Cost: 114.1944\n",
+      " and the parameters are [-1.58619994  2.3288374 ] -2.798551270414281 ;\n",
+      "Epoch 10/30, Cost: 116.7879\n",
+      " and the parameters are [-1.59125394  2.33390441] -2.8123281018593818 ;\n",
+      "Epoch 10/30, Cost: 107.4050\n",
+      " and the parameters are [-1.59396594  2.34602623] -2.822338726112087 ;\n",
+      "Epoch 10/30, Cost: 103.9823\n",
+      " and the parameters are [-1.60211601  2.35712485] -2.830673645349568 ;\n",
+      "Epoch 10/30, Cost: 111.4890\n",
+      " and the parameters are [-1.61018407  2.3670475 ] -2.8401491294256123 ;\n",
+      "Epoch 10/30, Cost: 117.9450\n",
+      " and the parameters are [-1.61379014  2.36881745] -2.8566163818390473 ;\n",
+      "Epoch 10/30, Cost: 97.5769\n",
+      " and the parameters are [-1.61900244  2.38021771] -2.8649968844731193 ;\n",
+      "Epoch 20/30, Cost: 74.8790\n",
+      " and the parameters are [-2.04835231  2.88160041] -3.6257692392297933 ;\n",
+      "Epoch 20/30, Cost: 74.3611\n",
+      " and the parameters are [-2.04883349  2.88918965] -3.632106580051148 ;\n",
+      "Epoch 20/30, Cost: 85.9549\n",
+      " and the parameters are [-2.05215336  2.89644278] -3.637058730133923 ;\n",
+      "Epoch 20/30, Cost: 92.0537\n",
+      " and the parameters are [-2.06017521  2.89419163] -3.64651223140746 ;\n",
+      "Epoch 20/30, Cost: 102.7350\n",
+      " and the parameters are [-2.06664117  2.89677999] -3.6519103684296588 ;\n",
+      "Epoch 20/30, Cost: 84.0420\n",
+      " and the parameters are [-2.06960136  2.89933544] -3.6597865871941897 ;\n",
+      "Epoch 20/30, Cost: 98.0876\n",
+      " and the parameters are [-2.07258614  2.9054908 ] -3.6642152254433853 ;\n",
+      "Epoch 20/30, Cost: 83.7860\n",
+      " and the parameters are [-2.07355854  2.91647527] -3.6665846631694747 ;\n",
+      "Epoch 20/30, Cost: 76.5630\n",
+      " and the parameters are [-2.07347247  2.9231254 ] -3.6732151402284354 ;\n",
+      "Epoch 20/30, Cost: 80.5286\n",
+      " and the parameters are [-2.07913411  2.92271421] -3.681422173709854 ;\n",
+      "The parameters computed by stochastic gradient descent are:  [-2.34519372  3.24691066] -4.156658220188773\n"
+     ]
+    }
+   ],
+   "execution_count": 66
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T09:57:05.419724Z",
+     "start_time": "2025-03-19T09:57:05.033915Z"
+    }
+   },
    "source": [
-    "# Answer for Exercise 10 - (2): \n",
+    "plt.figure(figsize=(8, 8))\n",
+    "plt.scatter(X[:, 0], X[:, 1], c=y, alpha=0.3, cmap=mcolors.ListedColormap([\"steelblue\", \"tomato\"]))\n",
     "\n",
+    "x1 = np.linspace(-4, 4, 100)\n",
+    "x2_SGD = -(w_SGD[0] * x1 + b_SGD) / w_SGD[1]\n",
     "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Answer for Exercise 10 - (3): \n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Answer for Exercise 12 : \n",
-    "\n",
-    "\n",
-    "\n",
-    "\n",
-    "\n"
-   ]
+    "plt.plot(x1, x2_SGD, c=\"tomato\", label=\"SGD\")\n",
+    "plt.plot(x1, x2_GD, c=\"lime\", label=\"GD\")\n",
+    "plt.plot(x1, x2_learn, c=\"steelblue\", label=\"Sklearn\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 800x800 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "execution_count": 67
   },
   {
    "cell_type": "markdown",
@@ -880,12 +40978,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:06:51.624736Z",
+     "start_time": "2025-03-19T10:06:51.611049Z"
+    }
+   },
    "source": [
-    "# answer for Exercise 12"
-   ]
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn import datasets\n",
+    "\n",
+    "iris = datasets.load_iris(as_frame=True)\n",
+    "\n",
+    "X, y = iris.data, iris.target\n",
+    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=5)\n",
+    "\n",
+    "log_reg = LogisticRegression(fit_intercept=True)\n",
+    "\n",
+    "log_reg.fit(X_train, y_train)\n",
+    "y_pred = log_reg.predict(X_test)\n",
+    "log_reg.score(X_test, y_test)"
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.98"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 75
   },
   {
    "cell_type": "markdown",
@@ -917,39 +41043,90 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:58:43.985209Z",
+     "start_time": "2025-03-19T10:58:19.396703Z"
+    }
+   },
    "source": [
     "import tensorflow as tf\n",
     "\n",
     "(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 1
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "type(x_train)"
-   ]
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:58:46.374251Z",
+     "start_time": "2025-03-19T10:58:46.365605Z"
+    }
+   },
+   "source": "type(x_train)",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "numpy.ndarray"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 2
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:58:47.207411Z",
+     "start_time": "2025-03-19T10:58:47.204291Z"
+    }
+   },
    "source": [
     "x_train.shape, y_train.shape"
-   ]
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((60000, 28, 28), (60000,))"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 3
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "28 * 28"
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:58:47.828676Z",
+     "start_time": "2025-03-19T10:58:47.823536Z"
+    }
+   },
+   "source": "28 * 28",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "784"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 4
   },
   {
    "cell_type": "markdown",
@@ -960,9 +41137,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:58:51.690085Z",
+     "start_time": "2025-03-19T10:58:51.651012Z"
+    }
+   },
    "source": [
     "# definition of the model \n",
     "tf.random.set_seed(4)\n",
@@ -971,7 +41151,9 @@
     "model.add(tf.keras.layers.Flatten())  # we flatten the data\n",
     "model.add(tf.keras.layers.Dense(10, activation=\"softmax\"))  # 10 labels (figures from 0 to 9)\n",
     "#activation=\"softmax\" as it is a multiclass problem"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 5
   },
   {
    "cell_type": "markdown",
@@ -1001,28 +41183,128 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:59:00.281294Z",
+     "start_time": "2025-03-19T10:59:00.274306Z"
+    }
+   },
    "source": [
     "model.compile(loss=\"sparse_categorical_crossentropy\",\n",
     "              optimizer=\"sgd\",\n",
     "              metrics=[\"accuracy\"])"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 6
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "history = model.fit(x_train, y_train, epochs=30)"
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:59:27.035193Z",
+     "start_time": "2025-03-19T10:59:00.493936Z"
+    }
+   },
+   "source": "history = model.fit(x_train, y_train, epochs=30)",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 398us/step - accuracy: 0.8051 - loss: 468.3519\n",
+      "Epoch 2/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 426us/step - accuracy: 0.8693 - loss: 261.4901\n",
+      "Epoch 3/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 492us/step - accuracy: 0.8733 - loss: 246.0638\n",
+      "Epoch 4/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 505us/step - accuracy: 0.8760 - loss: 243.4188\n",
+      "Epoch 5/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 478us/step - accuracy: 0.8779 - loss: 233.7820\n",
+      "Epoch 6/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 580us/step - accuracy: 0.8788 - loss: 233.2691\n",
+      "Epoch 7/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m2s\u001B[0m 858us/step - accuracy: 0.8817 - loss: 233.2722\n",
+      "Epoch 8/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 530us/step - accuracy: 0.8806 - loss: 231.9280\n",
+      "Epoch 9/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 528us/step - accuracy: 0.8823 - loss: 230.8179\n",
+      "Epoch 10/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 517us/step - accuracy: 0.8813 - loss: 229.9344\n",
+      "Epoch 11/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 431us/step - accuracy: 0.8828 - loss: 228.2804\n",
+      "Epoch 12/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 437us/step - accuracy: 0.8855 - loss: 229.3305\n",
+      "Epoch 13/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 435us/step - accuracy: 0.8828 - loss: 224.4505\n",
+      "Epoch 14/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 581us/step - accuracy: 0.8825 - loss: 227.3901\n",
+      "Epoch 15/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 478us/step - accuracy: 0.8845 - loss: 225.1395\n",
+      "Epoch 16/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 405us/step - accuracy: 0.8861 - loss: 222.4019\n",
+      "Epoch 17/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 404us/step - accuracy: 0.8842 - loss: 224.2069\n",
+      "Epoch 18/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 429us/step - accuracy: 0.8847 - loss: 226.9697\n",
+      "Epoch 19/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 400us/step - accuracy: 0.8861 - loss: 224.0267\n",
+      "Epoch 20/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 445us/step - accuracy: 0.8860 - loss: 224.9942\n",
+      "Epoch 21/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 498us/step - accuracy: 0.8869 - loss: 223.2416\n",
+      "Epoch 22/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 403us/step - accuracy: 0.8864 - loss: 225.3823\n",
+      "Epoch 23/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 399us/step - accuracy: 0.8864 - loss: 220.9412\n",
+      "Epoch 24/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 397us/step - accuracy: 0.8884 - loss: 219.2184\n",
+      "Epoch 25/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 392us/step - accuracy: 0.8845 - loss: 226.9767\n",
+      "Epoch 26/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 391us/step - accuracy: 0.8869 - loss: 222.8797\n",
+      "Epoch 27/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 397us/step - accuracy: 0.8884 - loss: 220.8678\n",
+      "Epoch 28/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 394us/step - accuracy: 0.8875 - loss: 223.3590\n",
+      "Epoch 29/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 394us/step - accuracy: 0.8878 - loss: 221.2637\n",
+      "Epoch 30/30\n",
+      "\u001B[1m1875/1875\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m1s\u001B[0m 392us/step - accuracy: 0.8867 - loss: 223.8463\n"
+     ]
+    }
+   ],
+   "execution_count": 7
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "model.evaluate(x_test, y_test)"
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:59:30.147983Z",
+     "start_time": "2025-03-19T10:59:29.891625Z"
+    }
+   },
+   "source": "model.evaluate(x_test, y_test)",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001B[1m313/313\u001B[0m \u001B[32m━━━━━━━━━━━━━━━━━━━━\u001B[0m\u001B[37m\u001B[0m \u001B[1m0s\u001B[0m 470us/step - accuracy: 0.8769 - loss: 261.1911\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[234.9829559326172, 0.8919000029563904]"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 8
   },
   {
    "cell_type": "markdown",
@@ -1033,28 +41315,65 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:59:36.402820Z",
+     "start_time": "2025-03-19T10:59:35.043905Z"
+    }
+   },
    "source": [
     "(X_train, y_train), (X_test, y_test) = tf.keras.datasets.cifar10.load_data()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": 9
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": "len(np.unique(y_test))  # 10 labels"
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:59:46.827470Z",
+     "start_time": "2025-03-19T10:59:46.824193Z"
+    }
+   },
+   "source": "len(np.unique(y_test))  # 10 labels",
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "10"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 12
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-03-19T10:59:47.663176Z",
+     "start_time": "2025-03-19T10:59:47.658204Z"
+    }
+   },
    "source": [
     "X_train.shape, y_train.shape"
-   ]
+   ],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "((50000, 32, 32, 3), (50000, 1))"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "execution_count": 13
   },
   {
    "cell_type": "code",