├── Chapter02 ├── README.md ├── transfer_learning_pytorch.ipynb ├── transfer_learning_pytorch.py ├── transfer_learning_tf_keras.ipynb └── transfer_learning_tf_keras.py ├── Chapter03 ├── README.md ├── plot_convolution.py ├── resnet.ipynb └── resnet.py ├── Chapter04 ├── README.md ├── faster_r-cnn.ipynb ├── faster_r-cnn.py ├── mask_r-cnn.ipynb ├── mask_r-cnn.py ├── source_1.png ├── source_2.png ├── yolov3.ipynb └── yolov3.py ├── Chapter05 ├── README.md ├── cgan.ipynb ├── cgan.py ├── cyclegan │ ├── cyclegan.py │ ├── data_loader.py │ └── download_dataset.sh ├── dcgan.ipynb ├── dcgan.py ├── vae.ipynb ├── vae.py └── wgan.py ├── Chapter06 ├── README.md ├── __init__.py ├── war_and_peace.txt ├── word2vec_train.ipynb ├── word2vec_train.py ├── word2vec_visualize.ipynb └── word2vec_visualize.py ├── Chapter07 ├── README.md ├── gru_cell.py ├── lstm_cell.py ├── lstm_gru_count_1s.ipynb ├── lstm_gru_count_1s.py ├── sentiment_analysis.ipynb ├── sentiment_analysis.py ├── simple_rnn_count_1s.ipynb └── simple_rnn_count_1s.py ├── Chapter08 ├── README.md ├── nmt_rnn_attention │ ├── nmt_dataset.py │ ├── rnn_attention.ipynb │ └── rnn_attention.py ├── transformer.ipynb ├── transformer.py ├── transformers_textgen.ipynb └── transformers_textgen.py ├── Chapter09 ├── README.md ├── data │ ├── test_examples.tfr │ └── train_merged_examples.tfr ├── neural_structured_learning_cora.ipynb └── neural_structured_learning_cora.py ├── Chapter10 ├── README.md ├── siamese.ipynb └── siamese.py ├── Chapter11 ├── README.md └── imitation_learning │ ├── data │ ├── data.gzip │ └── model.pt │ ├── keyboard_agent.py │ ├── main.py │ ├── nn_agent.py │ ├── train.py │ └── util.py ├── LICENSE └── README.md /Chapter02/README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/Advanced-Deep-Learning-with-Python/HEAD/Chapter02/README.md -------------------------------------------------------------------------------- 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