文件名称:Python深度学习
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《Deep learning with Python》,本书的重点是用尽可能容易理解的方式来介绍深度学习背后的概念及其实现。
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压缩包 : 《Python深度学习》2018源代码.zip 列表 deep-learning-with-python-notebooks-master/ deep-learning-with-python-notebooks-master/2.1-a-first-look-at-a-neural-network.ipynb deep-learning-with-python-notebooks-master/3.5-classifying-movie-reviews.ipynb deep-learning-with-python-notebooks-master/3.6-classifying-newswires.ipynb deep-learning-with-python-notebooks-master/3.7-predicting-house-prices.ipynb deep-learning-with-python-notebooks-master/4.4-overfitting-and-underfitting.ipynb deep-learning-with-python-notebooks-master/5.1-introduction-to-convnets.ipynb deep-learning-with-python-notebooks-master/5.2-using-convnets-with-small-datasets.ipynb deep-learning-with-python-notebooks-master/5.3-using-a-pretrained-convnet.ipynb deep-learning-with-python-notebooks-master/5.4-visualizing-what-convnets-learn.ipynb deep-learning-with-python-notebooks-master/6.1-one-hot-encoding-of-words-or-characters.ipynb deep-learning-with-python-notebooks-master/6.1-using-word-embeddings.ipynb deep-learning-with-python-notebooks-master/6.2-understanding-recurrent-neural-networks.ipynb deep-learning-with-python-notebooks-master/6.3-advanced-usage-of-recurrent-neural-networks.ipynb deep-learning-with-python-notebooks-master/6.4-sequence-processing-with-convnets.ipynb deep-learning-with-python-notebooks-master/8.1-text-generation-with-lstm.ipynb deep-learning-with-python-notebooks-master/8.2-deep-dream.ipynb deep-learning-with-python-notebooks-master/8.3-neural-style-transfer.ipynb deep-learning-with-python-notebooks-master/8.4-generating-images-with-vaes.ipynb deep-learning-with-python-notebooks-master/8.5-introduction-to-gans.ipynb deep-learning-with-python-notebooks-master/LICENSE deep-learning-with-python-notebooks-master/README.md
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