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Title: GitHub - TigerMachineLearning/DeepLearning_Python: Deep Learning--深度学习 · GitHub

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Description: Deep Learning--深度学习. Contribute to TigerMachineLearning/DeepLearning_Python development by creating an account on GitHub.

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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#深度学习-deep-learning
这里https://github.com/lawlite19/MachineLearning_Python
https://github.com/lawlite19/MachineLearning_Pythonhttps://github.com/lawlite19/MachineLearning_Python
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#一cnn卷积神经网络
http://cs231n.github.io/convolutional-networks/#convhttp://cs231n.github.io/convolutional-networks/#conv
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#1概述
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#2卷积convolution特征提取
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_01.gif
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#4激活层
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#5全连接层-fully-connected-layer
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_09.png
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_11.png
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#6cnn是如何工作的
https://www.zhihu.com/question/52668301https://www.zhihu.com/question/52668301
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_12.png
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_13.png
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_15.png
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/CNN_14.png
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#7cnn的tensorflow实现
全部代码https://github.com/lawlite19/MachineLearning_TensorFlow/blob/master/Mnist_03_CNN/mnist_cnn.py
https://github.com/lawlite19/MachineLearning_TensorFlow/blob/master/Mnist_03_CNN/mnist_cnn.pyhttps://github.com/lawlite19/MachineLearning_TensorFlow/blob/master/Mnist_03_CNN/mnist_cnn.py
https://github.com/lawlite19/MachineLearning_TensorFlowhttps://github.com/lawlite19/MachineLearning_TensorFlow
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#8cnn公式推导
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#1说明
http://cogprints.org/5869/1/cnn_tutorial.pdfhttp://cogprints.org/5869/1/cnn_tutorial.pdf
https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/cnn_tutorial.pdfhttps://github.com/lawlite19/DeepLearning_Python/blob/master/paper/cnn_tutorial.pdf
https://github.com/lawlite19/MachineLearning_Pythonhttps://github.com/lawlite19/MachineLearning_Python
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#2符号说明
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#二权重初始化问题1_sigmoidtanhsoftsign激励函数
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#1说明-1
http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdfhttp://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
这里https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Understanding%20the%20difficulty%20of%20training%20deep%20feedforward%20neural%20networks.pdf
https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Understanding%20the%20difficulty%20of%20training%20deep%20feedforward%20neural%20networks.pdfhttps://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Understanding%20the%20difficulty%20of%20training%20deep%20feedforward%20neural%20networks.pdf
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#2实验
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_01.png
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https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_02.png
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_03.png
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#3初试化方法公式推导
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_04.png
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#三权重初始化问题2_relu激励函数
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#1说明-2
https://arxiv.org/pdf/1502.01852v1.pdfhttps://arxiv.org/pdf/1502.01852v1.pdf
这里https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Delving%20Deep%20into%20Rectifiers%20Surpassing%20Human-Level%20Performance%20on%20ImageNet%20Classification%EF%BC%88S%E5%9E%8B%E5%87%BD%E6%95%B0%E6%9D%83%E9%87%8D%E5%88%9D%E5%A7%8B%E5%8C%96%EF%BC%89.pdf
https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Delving%20Deep%20into%20Rectifiers%20Surpassing%20Human-Level%20Performance%20on%20ImageNet%20Classification%EF%BC%88S%E5%9E%8B%E5%87%BD%E6%95%B0%E6%9D%83%E9%87%8D%E5%88%9D%E5%A7%8B%E5%8C%96%EF%BC%89.pdfhttps://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Delving%20Deep%20into%20Rectifiers%20Surpassing%20Human-Level%20Performance%20on%20ImageNet%20Classification%EF%BC%88S%E5%9E%8B%E5%87%BD%E6%95%B0%E6%9D%83%E9%87%8D%E5%88%9D%E5%A7%8B%E5%8C%96%EF%BC%89.pdf
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#2reluprelu激励函数
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_06.png
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https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_07.png
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#3前向传播推导
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#4反向传播推导
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#5正向和反向传播讨论实验和prelu函数
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https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_11.png
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/Weights_initialization_12.png
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#四batch-normalizationbn批标准化
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#1说明-3
http://jmlr.org/proceedings/papers/v37/ioffe15.pdfhttp://jmlr.org/proceedings/papers/v37/ioffe15.pdf
这里https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/%EF%BC%88BN%EF%BC%89Batch%20Normalization%20Accelerating%20Deep%20Network%20Training%20by%20Reducing%20Internal%20Covariate%20Shift.pdf
https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/%EF%BC%88BN%EF%BC%89Batch%20Normalization%20Accelerating%20Deep%20Network%20Training%20by%20Reducing%20Internal%20Covariate%20Shift.pdfhttps://github.com/lawlite19/DeepLearning_Python/blob/master/paper/%EF%BC%88BN%EF%BC%89Batch%20Normalization%20Accelerating%20Deep%20Network%20Training%20by%20Reducing%20Internal%20Covariate%20Shift.pdf
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#2论文概述
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#3bn思路
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https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#4bn网络的训练和推断
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https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/BN_02.png
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#5实验
https://github.com/TigerMachineLearning/DeepLearning_Python/blob/master/images/BN_03.png
https://github.com/TigerMachineLearning/DeepLearning_Python/tree/master#五rnn和lstm_01基础
我的博客http://lawlite.me/2017/06/14/RNN-%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%92%8CLSTM-01%E5%9F%BA%E7%A1%80/
查看这里http://lawlite.me/2017/06/14/RNN-%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C%E5%92%8CLSTM-01%E5%9F%BA%E7%A1%80/
查看这里http://lawlite.me/2017/06/21/RNN-LSTM%E5%BE%AA%E7%8E%AF%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C-03Tensorflow%E8%BF%9B%E9%98%B6%E5%AE%9E%E7%8E%B0/
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