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Title: GitHub - ECGTools/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python" · GitHub

Open Graph Title: GitHub - ECGTools/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

X Title: GitHub - ECGTools/deep-learning-with-python-notebooks: Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Description: Jupyter notebooks for the code samples of the book "Deep Learning with Python" - ECGTools/deep-learning-with-python-notebooks

Open Graph Description: Jupyter notebooks for the code samples of the book "Deep Learning with Python" - ECGTools/deep-learning-with-python-notebooks

X Description: Jupyter notebooks for the code samples of the book "Deep Learning with Python" - ECGTools/deep-learning-with-python-notebooks

Opengraph URL: https://github.com/ECGTools/deep-learning-with-python-notebooks

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16 Commits	https://github.com/ECGTools/deep-learning-with-python-notebooks/commits/master/
	https://github.com/ECGTools/deep-learning-with-python-notebooks/commits/master/
2.1-a-first-look-at-a-neural-network.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/2.1-a-first-look-at-a-neural-network.ipynb
2.1-a-first-look-at-a-neural-network.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/2.1-a-first-look-at-a-neural-network.ipynb
3.5-classifying-movie-reviews.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/3.5-classifying-movie-reviews.ipynb
3.5-classifying-movie-reviews.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/3.5-classifying-movie-reviews.ipynb
3.6-classifying-newswires.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/3.6-classifying-newswires.ipynb
3.6-classifying-newswires.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/3.6-classifying-newswires.ipynb
3.7-predicting-house-prices.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/3.7-predicting-house-prices.ipynb
3.7-predicting-house-prices.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/3.7-predicting-house-prices.ipynb
4.4-overfitting-and-underfitting.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/4.4-overfitting-and-underfitting.ipynb
4.4-overfitting-and-underfitting.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/4.4-overfitting-and-underfitting.ipynb
5.1-introduction-to-convnets.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.1-introduction-to-convnets.ipynb
5.1-introduction-to-convnets.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.1-introduction-to-convnets.ipynb
5.2-using-convnets-with-small-datasets.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.2-using-convnets-with-small-datasets.ipynb
5.2-using-convnets-with-small-datasets.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.2-using-convnets-with-small-datasets.ipynb
5.3-using-a-pretrained-convnet.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.3-using-a-pretrained-convnet.ipynb
5.3-using-a-pretrained-convnet.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.3-using-a-pretrained-convnet.ipynb
5.4-visualizing-what-convnets-learn.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb
5.4-visualizing-what-convnets-learn.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb
6.1-one-hot-encoding-of-words-or-characters.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.1-one-hot-encoding-of-words-or-characters.ipynb
6.1-one-hot-encoding-of-words-or-characters.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.1-one-hot-encoding-of-words-or-characters.ipynb
6.1-using-word-embeddings.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.1-using-word-embeddings.ipynb
6.1-using-word-embeddings.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.1-using-word-embeddings.ipynb
6.2-understanding-recurrent-neural-networks.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.2-understanding-recurrent-neural-networks.ipynb
6.2-understanding-recurrent-neural-networks.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.2-understanding-recurrent-neural-networks.ipynb
6.3-advanced-usage-of-recurrent-neural-networks.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.3-advanced-usage-of-recurrent-neural-networks.ipynb
6.3-advanced-usage-of-recurrent-neural-networks.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.3-advanced-usage-of-recurrent-neural-networks.ipynb
6.4-sequence-processing-with-convnets.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.4-sequence-processing-with-convnets.ipynb
6.4-sequence-processing-with-convnets.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/6.4-sequence-processing-with-convnets.ipynb
8.1-text-generation-with-lstm.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.1-text-generation-with-lstm.ipynb
8.1-text-generation-with-lstm.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.1-text-generation-with-lstm.ipynb
8.2-deep-dream.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.2-deep-dream.ipynb
8.2-deep-dream.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.2-deep-dream.ipynb
8.3-neural-style-transfer.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.3-neural-style-transfer.ipynb
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8.5-introduction-to-gans.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.5-introduction-to-gans.ipynb
8.5-introduction-to-gans.ipynb	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/8.5-introduction-to-gans.ipynb
LICENSE	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/LICENSE
LICENSE	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/LICENSE
README.md	https://github.com/ECGTools/deep-learning-with-python-notebooks/blob/master/README.md
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	https://github.com/ECGTools/deep-learning-with-python-notebooks#companion-jupyter-notebooks-for-the-book-deep-learning-with-python
Deep Learning with Python (Manning Publications)	https://www.manning.com/books/deep-learning-with-python?a_aid=keras&a_bid=76564dff
	https://github.com/ECGTools/deep-learning-with-python-notebooks#table-of-contents
2.1: A first look at a neural network	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/2.1-a-first-look-at-a-neural-network.ipynb
3.5: Classifying movie reviews	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/3.5-classifying-movie-reviews.ipynb
3.6: Classifying newswires	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/3.6-classifying-newswires.ipynb
3.7: Predicting house prices	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/3.7-predicting-house-prices.ipynb
4.4: Underfitting and overfitting	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/4.4-overfitting-and-underfitting.ipynb
5.1: Introduction to convnets	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/5.1-introduction-to-convnets.ipynb
5.2: Using convnets with small datasets	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/5.2-using-convnets-with-small-datasets.ipynb
5.3: Using a pre-trained convnet	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/5.3-using-a-pretrained-convnet.ipynb
5.4: Visualizing what convnets learn	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/5.4-visualizing-what-convnets-learn.ipynb
6.1: One-hot encoding of words or characters	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/6.1-one-hot-encoding-of-words-or-characters.ipynb
6.1: Using word embeddings	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/6.1-using-word-embeddings.ipynb
6.2: Understanding RNNs	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/6.2-understanding-recurrent-neural-networks.ipynb
6.3: Advanced usage of RNNs	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/6.3-advanced-usage-of-recurrent-neural-networks.ipynb
6.4: Sequence processing with convnets	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/6.4-sequence-processing-with-convnets.ipynb
8.1: Text generation with LSTM	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/8.1-text-generation-with-lstm.ipynb
8.2: Deep dream	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/8.2-deep-dream.ipynb
8.3: Neural style transfer	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/8.3-neural-style-transfer.ipynb
8.4: Generating images with VAEs	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/8.4-generating-images-with-vaes.ipynb
8.5: Introduction to GANs	http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/8.5-introduction-to-gans.ipynb
Readme	https://github.com/ECGTools/deep-learning-with-python-notebooks#readme-ov-file
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