diff --git a/10_neural_nets_with_keras.ipynb b/10_neural_nets_with_keras.ipynb
index a49cc0e..3f622b6 100644
--- a/10_neural_nets_with_keras.ipynb
+++ b/10_neural_nets_with_keras.ipynb
@@ -9,6 +9,17 @@
     "_This notebook contains all the sample code and solutions to the exercises in chapter 10._"
    ]
   },
+  {
+   "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/10_neural_nets_with_keras.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": {},
@@ -20,7 +31,7 @@
    "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."
    ]
   },
   {
@@ -37,7 +48,13 @@
     "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",
+    "except Exception:\n",
+    "    pass\n",
+    "\n",
+    "# TensorFlow ≥2.0 is required\n",
     "import tensorflow as tf\n",
     "assert tf.__version__ >= \"2.0\"\n",
     "\n",
@@ -1632,7 +1649,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.7.3"
   },
   "nav_menu": {
    "height": "264px",
diff --git a/11_training_deep_neural_networks.ipynb b/11_training_deep_neural_networks.ipynb
index f8fe953..5ad951f 100644
--- a/11_training_deep_neural_networks.ipynb
+++ b/11_training_deep_neural_networks.ipynb
@@ -14,6 +14,17 @@
     "_This notebook contains all the sample code and solutions to the exercises in chapter 11._"
    ]
   },
+  {
+   "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/11_training_deep_neural_networks.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."
    ]
   },
   {
@@ -42,7 +53,13 @@
     "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",
+    "except Exception:\n",
+    "    pass\n",
+    "\n",
+    "# TensorFlow ≥2.0 is required\n",
     "import tensorflow as tf\n",
     "from tensorflow import keras\n",
     "assert tf.__version__ >= \"2.0\"\n",
@@ -2618,7 +2635,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.7.3"
   },
   "nav_menu": {
    "height": "360px",