diff --git a/README.md b/README.md index 6039b0d710..c940157921 100644 --- a/README.md +++ b/README.md @@ -8,27 +8,63 @@ These notebooks use Python 3.6 and Keras 2.0.8. They were generated on a p2.xlar * Chapter 2: * [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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F2.1-a-first-look-at-a-neural-network.ipynb) + * Chapter 3: * [3.5: Classifying movie reviews](http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/3.5-classifying-movie-reviews.ipynb) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F3.5-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F3.6-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F3.7-predicting-house-prices.ipynb) + * Chapter 4: * [4.4: Underfitting and overfitting](http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/4.4-overfitting-and-underfitting.ipynb) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F4.4-overfitting-and-underfitting.ipynb) + * Chapter 5: * [5.1: Introduction to convnets](http://nbviewer.jupyter.org/github/fchollet/deep-learning-with-python-notebooks/blob/master/5.1-introduction-to-convnets.ipynb) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F5.1-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F5.2-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F5.3-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F5.4-visualizing-what-convnets-learn.ipynb) + * Chapter 6: * [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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F6.1-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F6.1-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F6.2-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F6.3-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F6.4-sequence-processing-with-convnets.ipynb) + * Chapter 8: * [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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F8.1-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F8.2-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F8.3-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 -) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F8.4-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) + [](https://beta.deepnote.org/launch?template=data-science&url=https%3A%2F%2Fgithub.com%2Ffchollet%2Fdeep-learning-with-python-notebooks%2Fblob%2Fmaster%2F8.5-introduction-to-gans.ipynb)