diff --git a/tutorial_deep_learning_basics/deep_learning_basics.ipynb b/tutorial_deep_learning_basics/deep_learning_basics.ipynb
index 2b4f48f..81e5ecd 100644
--- a/tutorial_deep_learning_basics/deep_learning_basics.ipynb
+++ b/tutorial_deep_learning_basics/deep_learning_basics.ipynb
@@ -74,6 +74,28 @@
     "Note that there's [tf.keras](https://www.tensorflow.org/guide/keras) (comes with TensorFlow) and there's [Keras](https://keras.io/) (standalone). You should be using [tf.keras](https://www.tensorflow.org/guide/keras) because (1) it comes with TensorFlow so you don't need to install anything extra and (2) it comes with powerful TensorFlow-specific features."
    ]
   },
+  {
+      "cell_type": "code",
+      "metadata": {
+        "id": "",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "%tensorflow_version 1.x"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "TensorFlow 1.x selected.\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
+  
   {
    "cell_type": "code",
    "execution_count": 6,
diff --git a/tutorial_driving_scene_segmentation/tutorial_driving_scene_segmentation.ipynb b/tutorial_driving_scene_segmentation/tutorial_driving_scene_segmentation.ipynb
index 8e38eff..9893e49 100644
--- a/tutorial_driving_scene_segmentation/tutorial_driving_scene_segmentation.ipynb
+++ b/tutorial_driving_scene_segmentation/tutorial_driving_scene_segmentation.ipynb
@@ -44,6 +44,27 @@
     "This tutorial demostrates the steps to run DeepLab semantic scene segmentation model on a sample video from MIT Driving Scene Segmentation Dataset."
    ]
   },
+    {
+      "cell_type": "code",
+      "metadata": {
+        "id": "",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "%tensorflow_version 1.x"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "TensorFlow 1.x selected.\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
   {
    "cell_type": "code",
    "execution_count": 1,
diff --git a/tutorial_gans/tutorial_gans.ipynb b/tutorial_gans/tutorial_gans.ipynb
index 7abdceb..1d432e8 100644
--- a/tutorial_gans/tutorial_gans.ipynb
+++ b/tutorial_gans/tutorial_gans.ipynb
@@ -71,6 +71,27 @@
     "We recommend that you run this this notebook in the cloud on Google Colab. If you have not done so yet, consider following the setup steps in the [Deep Learning Basics tutorial](https://github.com/lexfridman/mit-deep-learning) and reading the [Deep Learning Basics: Introduction and Overview with TensorFlow](https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0) blog post."
    ]
   },
+  {
+      "cell_type": "code",
+      "metadata": {
+        "id": "",
+        "colab_type": "code",
+        "colab": {}
+      },
+      "source": [
+        "%tensorflow_version 1.x"
+      ],
+      "execution_count": 1,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "text": [
+            "TensorFlow 1.x selected.\n"
+          ],
+          "name": "stdout"
+        }
+      ]
+    },
   {
    "cell_type": "code",
    "execution_count": 1,