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Fix for Colab #18

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22 changes: 22 additions & 0 deletions tutorial_deep_learning_basics/deep_learning_basics.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -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,
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Original file line number Diff line number Diff line change
Expand Up @@ -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,
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21 changes: 21 additions & 0 deletions tutorial_gans/tutorial_gans.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -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,
Expand Down