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https://github.com/ArthurDanjou/handson-ml3.git
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Fix links to Kaggle and Deepnote, and update chapter 17's title
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@@ -15,7 +15,7 @@
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" <a href=\"https://colab.research.google.com/github/ageron/handson-ml3/blob/main/index.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>\n",
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" </td>\n",
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" <td>\n",
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" <a target=\"_blank\" href=\"https://homl.info/kaggle/\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" /></a>\n",
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" <a target=\"_blank\" href=\"https://homl.info/kaggle3/\"><img src=\"https://kaggle.com/static/images/open-in-kaggle.svg\" /></a>\n",
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" </td>\n",
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"</table>"
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]
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@@ -41,7 +41,7 @@
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"14. [Deep Computer Vision Using Convolutional Neural Networks](14_deep_computer_vision_with_cnns.ipynb)\n",
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"15. [Processing Sequences Using RNNs and CNNs](15_processing_sequences_using_rnns_and_cnns.ipynb)\n",
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"16. [Natural Language Processing with RNNs and Attention](16_nlp_with_rnns_and_attention.ipynb)\n",
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"17. [Representation Learning and Generative Learning Using Autencoders and GANs](17_autoencoders_and_gans.ipynb)\n",
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"17. [Autoencoders, GANs, and Diffusion Models](17_autoencoders_gans_and_diffusion_models.ipynb)\n",
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"18. [Reinforcement Learning](18_reinforcement_learning.ipynb)\n",
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"19. [Training and Deploying TensorFlow Models at Scale](19_training_and_deploying_at_scale.ipynb)"
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]
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@@ -130,7 +130,7 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.12"
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"version": "3.10.6"
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},
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"nav_menu": {},
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"toc": {
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