Large change: replace os.path with pathlib, move to Python 3.7

12_custom_models_and_training_with_tensorflow.ipynb

@@ -11,7 +11,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "_This notebook contains all the sample code in chapter 12._"
+    "_This notebook contains all the sample code and solutions to the exercises in chapter 12._"
    ]
   },
   {
@@ -39,7 +39,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "First, let's import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures. We also check that Python 3.5 or later is installed (although Python 2.x may work, it is deprecated so we strongly recommend you use Python 3 instead), as well as Scikit-Learn ≥0.20 and TensorFlow ≥2.0."
+    "First, let's import a few common modules, ensure MatplotLib plots figures inline and prepare a function to save the figures."
    ]
   },
   {
@@ -48,29 +48,21 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Python ≥3.5 is required\n",
+    "# Python ≥3.7 is required\n",
     "import sys\n",
-    "assert sys.version_info >= (3, 5)\n",
-    "\n",
-    "# Scikit-Learn ≥0.20 is required\n",
-    "import sklearn\n",
-    "assert sklearn.__version__ >= \"0.20\"\n",
-    "\n",
-    "try:\n",
-    "    # %tensorflow_version only exists in Colab.\n",
-    "    %tensorflow_version 2.x\n",
-    "except Exception:\n",
-    "    pass\n",
-    "\n",
-    "# TensorFlow ≥2.4 is required in this notebook\n",
-    "# Earlier 2.x versions will mostly work the same, but with a few bugs\n",
-    "import tensorflow as tf\n",
-    "from tensorflow import keras\n",
-    "assert tf.__version__ >= \"2.4\"\n",
+    "assert sys.version_info >= (3, 7)\n",
     "\n",
     "# Common imports\n",
     "import numpy as np\n",
-    "import os\n",
+    "from pathlib import Path\n",
+    "\n",
+    "# Scikit-Learn ≥1.0 is required\n",
+    "import sklearn\n",
+    "assert sklearn.__version__ >= \"1.0\"\n",
+    "\n",
+    "# TensorFlow ≥2.6 is required\n",
+    "import tensorflow as tf\n",
+    "assert tf.__version__ >= \"2.6\"\n",
     "\n",
     "# to make this notebook's output stable across runs\n",
     "np.random.seed(42)\n",
@@ -82,20 +74,7 @@
     "import matplotlib.pyplot as plt\n",
     "mpl.rc('axes', labelsize=14)\n",
     "mpl.rc('xtick', labelsize=12)\n",
-    "mpl.rc('ytick', labelsize=12)\n",
-    "\n",
-    "# Where to save the figures\n",
-    "PROJECT_ROOT_DIR = \".\"\n",
-    "CHAPTER_ID = \"deep\"\n",
-    "IMAGES_PATH = os.path.join(PROJECT_ROOT_DIR, \"images\", CHAPTER_ID)\n",
-    "os.makedirs(IMAGES_PATH, exist_ok=True)\n",
-    "\n",
-    "def save_fig(fig_id, tight_layout=True, fig_extension=\"png\", resolution=300):\n",
-    "    path = os.path.join(IMAGES_PATH, fig_id + \".\" + fig_extension)\n",
-    "    print(\"Saving figure\", fig_id)\n",
-    "    if tight_layout:\n",
-    "        plt.tight_layout()\n",
-    "    plt.savefig(path, format=fig_extension, dpi=resolution)"
+    "mpl.rc('ytick', labelsize=12)"
    ]
   },
   {
@@ -2726,7 +2705,9 @@
   {
    "cell_type": "code",
    "execution_count": 203,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [],
    "source": [
     "for epoch in range(1, n_epochs + 1):\n",
@@ -3980,7 +3961,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },