Make notebooks 14 to 19 runnable in Colab without changes

15_processing_sequences_using_rnns_and_cnns.ipynb

@@ -14,6 +14,17 @@
     "_This notebook contains all the sample code in chapter 15._"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<table align=\"left\">\n",
+    "  <td>\n",
+    "    <a target=\"_blank\" href=\"https://colab.research.google.com/github/ageron/handson-ml2/blob/master/15_processing_sequences_using_rnns_and_cnns.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
+    "  </td>\n",
+    "</table>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -25,7 +36,7 @@
    "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-preview."
+    "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."
    ]
   },
   {
@@ -42,11 +53,23 @@
     "import sklearn\n",
     "assert sklearn.__version__ >= \"0.20\"\n",
     "\n",
-    "# TensorFlow ≥2.0-preview is required\n",
+    "try:\n",
+    "    # %tensorflow_version only exists in Colab.\n",
+    "    %tensorflow_version 2.x\n",
+    "    IS_COLAB = True\n",
+    "except Exception:\n",
+    "    IS_COLAB = False\n",
+    "\n",
+    "# TensorFlow ≥2.0 is required\n",
     "import tensorflow as tf\n",
     "from tensorflow import keras\n",
     "assert tf.__version__ >= \"2.0\"\n",
     "\n",
+    "if not tf.test.is_gpu_available():\n",
+    "    print(\"No GPU was detected. LSTMs and CNNs can be very slow without a GPU.\")\n",
+    "    if IS_COLAB:\n",
+    "        print(\"Go to Runtime > Change runtime and select a GPU hardware accelerator.\")\n",
+    "\n",
     "# Common imports\n",
     "import numpy as np\n",
     "import os\n",
@@ -1116,8 +1139,6 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from tensorflow import keras\n",
-    "\n",
     "class GatedActivationUnit(keras.layers.Layer):\n",
     "    def __init__(self, activation=\"tanh\", **kwargs):\n",
     "        super().__init__(**kwargs)\n",
@@ -1367,7 +1388,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.7.3"
   },
   "nav_menu": {},
   "toc": {