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python深度学习(肖莱编著)代码
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├── deep-learning-with-python-notebooks-master
│ ├── LICENSE
│ ├── README.md
│ ├── chapter02_mathematical-building-blocks.ipynb
│ ├── chapter03_introduction-to-keras-and-tf.ipynb
│ ├── chapter04_getting-started-with-neural-networks.ipynb
│ ├── chapter05_fundamentals-of-ml.ipynb
│ ├── chapter07_working-with-keras.ipynb
│ ├── chapter08_intro-to-dl-for-computer-vision.ipynb
│ ├── chapter09_part01_image-segmentation.ipynb
│ ├── chapter09_part02_modern-convnet-architecture-patterns.ipynb
│ ├── chapter09_part03_interpreting-what-convnets-learn.ipynb
│ ├── chapter10_dl-for-timeseries.ipynb
│ ├── chapter11_part01_introduction.ipynb
│ ├── chapter11_part02_sequence-models.ipynb
│ ├── chapter11_part03_transformer.ipynb
│ ├── chapter11_part04_sequence-to-sequence-learning.ipynb
│ ├── chapter12_part01_text-generation.ipynb
│ ├── chapter12_part02_deep-dream.ipynb
│ ├── chapter12_part03_neural-style-transfer.ipynb
│ ├── chapter12_part04_variational-autoencoders.ipynb
│ ├── chapter12_part05_gans.ipynb
│ ├── chapter13_best-practices-for-the-real-world.ipynb
│ ├── chapter14_conclusions.ipynb
│ └── first_edition
│ ├── 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-lstm.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
└── python深度学习(肖莱编著)代码.zip
2 directories, 43 files