├── .gitattributes ├── .gitignore ├── .idea ├── DeepLearning_Demo.iml ├── dictionaries │ └── shixiangfu.xml ├── misc.xml ├── modules.xml ├── vcs.xml └── workspace.xml ├── AdversarialNetworks ├── .gitignore ├── Readme.md ├── competition.py ├── demo_gaussian.py ├── demo_gaussian_mixture.py ├── demo_normal.py ├── gradient_descent.py ├── models.py ├── tests.py └── utils.py ├── BackPropagation └── bp.py ├── CNN ├── CNN_tf_demo.py └── README.md ├── README.md ├── RNN_txt_prediction_numpy_only ├── Learning RNN.docx ├── README.md ├── input.txt └── min-char-rnn.py ├── Resnet ├── .idea │ ├── Digit_Rec_Kaggle.iml │ ├── inspectionProfiles │ │ └── profiles_settings.xml │ ├── misc.xml │ ├── modules.xml │ └── workspace.xml ├── Code │ └── resnet.py ├── Data │ ├── test.csv │ └── train.csv ├── readme.md └── url ├── attention ├── attention_keras.py ├── attention_tf.py └── readme.md ├── distributed_tensorflow └── distributed_tensorflow.py ├── linear_regression_use_gradient_decent ├── data.csv ├── linear_regression.py └── readme.md └── siamese_tf_mnist ├── .gitignore ├── inference.py ├── readme.md ├── result.png ├── run.py └── visualize.py /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/.gitattributes -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/.gitignore -------------------------------------------------------------------------------- /.idea/DeepLearning_Demo.iml: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/.idea/DeepLearning_Demo.iml -------------------------------------------------------------------------------- /.idea/dictionaries/shixiangfu.xml: 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-------------------------------------------------------------------------------- 1 | # CNN_classifier_tensorflow_demo 2 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DeepLearning_Demo 2 | some demo for practice DL 3 | -------------------------------------------------------------------------------- /RNN_txt_prediction_numpy_only/Learning RNN.docx: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/RNN_txt_prediction_numpy_only/Learning RNN.docx -------------------------------------------------------------------------------- /RNN_txt_prediction_numpy_only/README.md: -------------------------------------------------------------------------------- 1 | 用numpy实现一个RNN,做文本预测。适合用于理解RNN原理。 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https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/Resnet/Data/train.csv -------------------------------------------------------------------------------- /Resnet/readme.md: -------------------------------------------------------------------------------- 1 | 在kaggle上发现这份代码，感觉很适合作为新手理解resnet，未做修改。 2 | -------------------------------------------------------------------------------- /Resnet/url: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/Resnet/url -------------------------------------------------------------------------------- /attention/attention_keras.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Shicoder/DeepLearning_Demo/HEAD/attention/attention_keras.py -------------------------------------------------------------------------------- /attention/attention_tf.py: 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