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Make notebooks 14 to 19 runnable in Colab without changes
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@ageron
ageron committed Nov 6, 2019
1 parent 1f43973 commit 729fec7
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Showing 6 changed files with 286 additions and 80 deletions.
39 changes: 35 additions & 4 deletions 14_deep_computer_vision_with_cnns.ipynb
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Expand Up @@ -14,6 +14,17 @@
"_This notebook contains all the sample code in chapter 14._"
]
},
{
"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/14_deep_computer_vision_with_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": {},
Expand All @@ -25,14 +36,22 @@
"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."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"No GPU was detected. CNNs can be very slow without a GPU.\n"
]
}
],
"source": [
"# Python ≥3.5 is required\n",
"import sys\n",
Expand All @@ -42,11 +61,23 @@
"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. 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",
Expand Down Expand Up @@ -2165,7 +2196,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.7.3"
},
"nav_menu": {},
"toc": {
Expand Down
31 changes: 26 additions & 5 deletions 15_processing_sequences_using_rnns_and_cnns.ipynb
View file
Expand Up @@ -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": {},
Expand All @@ -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."
]
},
{
Expand All @@ -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",
Expand Down Expand Up @@ -2218,8 +2241,6 @@
"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",
Expand Down Expand Up @@ -2505,7 +2526,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.7.3"
},
"nav_menu": {},
"toc": {
Expand Down
30 changes: 27 additions & 3 deletions 16_nlp_with_rnns_and_attention.ipynb
View file
Expand Up @@ -14,6 +14,17 @@
"_This notebook contains all the sample code in chapter 16._"
]
},
{
"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/16_nlp_with_rnns_and_attention.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": {},
Expand All @@ -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."
]
},
{
Expand All @@ -42,11 +53,24 @@
"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",
" !pip install -q -U tensorflow-addons\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",
Expand Down Expand Up @@ -1747,7 +1771,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.7.3"
},
"nav_menu": {},
"toc": {
Expand Down
29 changes: 26 additions & 3 deletions 17_autoencoders_and_gans.ipynb
View file
Expand Up @@ -14,6 +14,17 @@
"_This notebook contains all the sample code in chapter 17._"
]
},
{
"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/17_autoencoders_and_gans.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": {},
Expand All @@ -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."
]
},
{
Expand All @@ -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",
Expand Down Expand Up @@ -4657,7 +4680,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.8"
"version": "3.7.3"
},
"nav_menu": {
"height": "381px",
Expand Down
31 changes: 28 additions & 3 deletions 18_reinforcement_learning.ipynb
View file
Expand Up @@ -14,6 +14,17 @@
"_This notebook contains all the sample code in chapter 18_."
]
},
{
"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/18_reinforcement_learning.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": {},
Expand All @@ -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."
]
},
{
Expand All @@ -42,11 +53,25 @@
"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",
" !apt update && apt install -y libpq-dev libsdl2-dev swig xorg-dev xvfb\n",
" !pip install -q -U tf-agents-nightly pyvirtualdisplay gym[atari]\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. 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",
Expand Down Expand Up @@ -4070,7 +4095,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
"version": "3.7.3"
}
},
"nbformat": 4,
Expand Down

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