《Python深度学习》2018源代码=deep learning with python notebooks master
2.1-a-first-look-at-a-neural-network.ipynb
3.5-classifying-movie-reviews.ipynb
3.6-classifying-newswires.ipynb
3.7-predicting-house-prices.ipynb
4.4-overfitting-and-underfitting.ipynb
5.1-introduction-to-convnets.ipynb
5.2-using-convnets-with-small-datasets.ipynb
5.3-using-a-pretrained-convnet.ipynb
5.4-visualizing-what-convnets-learn.ipynb
6.1-one-hot-encoding-of-words-or-characters.ipynb
6.1-using-word-embeddings.ipynb
6.2-understanding-recurrent-neural-networks.ipynb
6.3-advanced-usage-of-recurrent-neural-networks.ipynb
6.4-sequence-processing-with-convnets.ipynb
8.1-text-generation-with-Istm.ipynb
8.2-deep-dream.ipynb
8.3-neural-style-transfer.ipynb
8.4-generating-images-with-vaes.ipynb
8.5-introduction-to-gans.ipynb LICENSE README.md