Deep Learning with Keras代码

[{"title":"（ 52 个子文件 78KB ） Deep Learning with Keras代码","children":[{"title":"DeepLearningwithKeras_Code","children":[{"title":"Chapter05","children":[{"title":"word2vec_gensim.py <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"skipgram_example.py <span style='color:#111;'> 602B </span>","children":null,"spread":false},{"title":"transfer_word2vec_embeddings.py <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"keras_cbow.py <span style='color:#111;'> 781B </span>","children":null,"spread":false},{"title":"finetune_glove_embeddings.py <span style='color:#111;'> 3.32KB </span>","children":null,"spread":false},{"title":"learn_embedding_from_scratch.py <span style='color:#111;'> 2.77KB </span>","children":null,"spread":false},{"title":"keras_skipgram.py <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"transfer_glove_embeddings.py <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"finetune_word2vec_embeddings.py <span style='color:#111;'> 3.23KB </span>","children":null,"spread":false},{"title":"word2vec_cbow.py <span style='color:#111;'> 3.62KB </span>","children":null,"spread":false},{"title":"word2vec_skipgram.py <span style='color:#111;'> 3.56KB </span>","children":null,"spread":false}],"spread":false},{"title":"Chapter04","children":[{"title":"example_gan_cifar10.py <span style='color:#111;'> 5.53KB </span>","children":null,"spread":false},{"title":"example_gan_convolutional.py <span style='color:#111;'> 4.32KB </span>","children":null,"spread":false},{"title":"legacy.py <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false},{"title":"dcgan.py <span style='color:#111;'> 6.53KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter02","children":[{"title":"cifar10_architecture.json <span style='color:#111;'> 3.52KB </span>","children":null,"spread":false},{"title":"keras_VGG16_prebuilt.py <span style='color:#111;'> 758B </span>","children":null,"spread":false},{"title":"keras_Azure.py <span style='color:#111;'> 1.26KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter06","children":[{"title":"econs_stateful.py <span style='color:#111;'> 2.66KB </span>","children":null,"spread":false},{"title":"pos-tagging-explore.py <span style='color:#111;'> 6.10KB </span>","children":null,"spread":false},{"title":"alice_chargen_rnn.py <span style='color:#111;'> 3.68KB </span>","children":null,"spread":false},{"title":"econs_data.py <span style='color:#111;'> 804B </span>","children":null,"spread":false},{"title":"pos_tagging_gru.py <span style='color:#111;'> 7.07KB </span>","children":null,"spread":false},{"title":"umich_sentiment_lstm.py <span style='color:#111;'> 3.66KB </span>","children":null,"spread":false},{"title":"pos_tagging_data.py <span style='color:#111;'> 3.97KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter07","children":[{"title":"air-quality-regression.py <span style='color:#111;'> 2.17KB </span>","children":null,"spread":false},{"title":"sent-thoughts-parse.py <span style='color:#111;'> 5.54KB </span>","children":null,"spread":false},{"title":"style-transfer.py <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"tf-keras-func.py <span style='color:#111;'> 2.49KB </span>","children":null,"spread":false},{"title":"sent-thoughts-rnn.py <span style='color:#111;'> 5.45KB </span>","children":null,"spread":false},{"title":"func-api-multi.py <span style='color:#111;'> 564B </span>","children":null,"spread":false},{"title":"mem-network.py <span style='color:#111;'> 6.68KB </span>","children":null,"spread":false},{"title":"func-api-func.py <span style='color:#111;'> 418B </span>","children":null,"spread":false},{"title":"deep-dream.py <span style='color:#111;'> 5.00KB </span>","children":null,"spread":false},{"title":"func-api-seq.py <span style='color:#111;'> 297B </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter08","children":[{"title":"rl-network-viz.py <span style='color:#111;'> 810B </span>","children":null,"spread":false},{"title":"rl-network-test.py <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"wrapped_game.py <span style='color:#111;'> 4.74KB </span>","children":null,"spread":false},{"title":"game.py <span style='color:#111;'> 4.55KB </span>","children":null,"spread":false},{"title":"rl-network-train.py <span style='color:#111;'> 4.76KB </span>","children":null,"spread":false},{"title":"game_screenshots.py <span style='color:#111;'> 379B </span>","children":null,"spread":false}],"spread":true},{"title":"Appendix","children":[{"title":"legacy.py <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter01","children":[{"title":"keras_MINST_V3.py <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"keras_MINST_V4.py <span style='color:#111;'> 2.47KB </span>","children":null,"spread":false},{"title":"keras_MINST_V2.py <span style='color:#111;'> 1.86KB </span>","children":null,"spread":false},{"title":"keras_MINST_V1.py <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false}],"spread":true},{"title":"Chapter03","children":[{"title":"keras_CIFAR10_simple.py <span style='color:#111;'> 2.54KB </span>","children":null,"spread":false},{"title":"keras_EvaluateCIFAR10.py <span style='color:#111;'> 722B </span>","children":null,"spread":false},{"title":"keras_VGG16.py <span style='color:#111;'> 2.51KB </span>","children":null,"spread":false},{"title":"keras_LeNet.py <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false},{"title":"keras_CIFAR10_V1.py <span style='color:#111;'> 3.86KB </span>","children":null,"spread":false}],"spread":true},{"title":"B06258_Software hardware list.pdf <span style='color:#111;'> 12.39KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}]