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

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

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	https://github.com/Xiaohu-cqu/DeepLearning_Python#深度学习-deep-learning
这里	https://github.com/lawlite19/MachineLearning_Python
https://github.com/lawlite19/MachineLearning_Python	https://github.com/lawlite19/MachineLearning_Python
	https://github.com/Xiaohu-cqu/DeepLearning_Python#一cnn卷积神经网络
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	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/CNN_11.png
	https://github.com/Xiaohu-cqu/DeepLearning_Python#6cnn是如何工作的
https://www.zhihu.com/question/52668301	https://www.zhihu.com/question/52668301
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/CNN_12.png
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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.py
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	https://github.com/Xiaohu-cqu/DeepLearning_Python#8cnn公式推导
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	https://github.com/Xiaohu-cqu/DeepLearning_Python#4子采样层sub-sampling-layers
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	https://github.com/Xiaohu-cqu/DeepLearning_Python#二权重初始化问题1_sigmoidtanhsoftsign激励函数
	https://github.com/Xiaohu-cqu/DeepLearning_Python#1说明-1
http://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf	http://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.pdf	https://github.com/lawlite19/DeepLearning_Python/blob/master/paper/Understanding%20the%20difficulty%20of%20training%20deep%20feedforward%20neural%20networks.pdf
	https://github.com/Xiaohu-cqu/DeepLearning_Python#2实验
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_01.png
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	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_03.png
	https://github.com/Xiaohu-cqu/DeepLearning_Python#3初试化方法公式推导
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_04.png
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	https://camo.githubusercontent.com/f96b7af2697fde527ddc3bb380dbdd4905d299146da4e6d9a1fc89a3ed98a307/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f2535436c617267652532302532342532345725323025354373696d253230552535422532302d25323025374225374225354373717274253230362532302537442532302535436f766572253230253742253543737172742532302537422537426e5f692537442532302b2532302537426e5f253742692532302b2532303125374425374425374425323025374425374425324325374225374225354373717274253230362532302537442532302535436f766572253230253742253543737172742532302537422537426e5f692537442532302b2532302537426e5f253742692532302b25323031253744253744253744253230253744253744253544253234253234
	https://github.com/Xiaohu-cqu/DeepLearning_Python#三权重初始化问题2_relu激励函数
	https://github.com/Xiaohu-cqu/DeepLearning_Python#1说明-2
https://arxiv.org/pdf/1502.01852v1.pdf	https://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.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.pdf
	https://github.com/Xiaohu-cqu/DeepLearning_Python#2reluprelu激励函数
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_06.png
	https://camo.githubusercontent.com/795f0b688cec9d9f224e81c051d97a3e04a8c7f5f9afec9b5bfd62cfe2351df0/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d25323025323425323466253238253742795f692537442532392532302533442532302535436d617825323025323830253243253742795f692537442532392532302b253230253742615f692537442535436d696e25323025323830253243253742795f69253744253239253234253234
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_07.png
	https://github.com/Xiaohu-cqu/DeepLearning_Python#3前向传播推导
	https://camo.githubusercontent.com/e84d4a262404d1f438fa6871917ef450d48194e6f4b5d9eabc2686a3044b5f96/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d253230253234253234253742795f6c253744253230253344253230253742575f6c253744253742253742253543726d253742782537442537445f6c2537442532302b253230253742625f6c253744253234253234
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	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_08.png
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	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_09.png
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	https://camo.githubusercontent.com/1d81779ded26d138ff94fa038dcf14a03ab80014613514f7929487ffba7d72e2/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d253230253234253234566172253542253742795f4c253744253544253230253344253230566172253542253742795f3125374425354425354370726f642535436c696d6974735f2537426c253230253344253230322537442535454c253230253742253742312532302535436f766572253230322537442537426e5f6c253744566172253542253742775f6c253744253544253744253230253234253234
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	https://camo.githubusercontent.com/fb196dc252506656740f613c5656bbf3e4d99fe40db951aa96e1f626cc7dcb46/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d253230253234253234253742312532302535436f766572253230322537442537426e5f6c253744566172253542253742775f6c25374425354425323025334425323031253234253234
	https://camo.githubusercontent.com/cf8ba320746f6986e6883154e93cc3fdaad8234cdda72ec25f8eebfff7071343/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d25323025323425323425354373717274253230253742253742322532302535436f7665722532302537422537426e5f6c253744253744253744253744253230253234253234
	https://github.com/Xiaohu-cqu/DeepLearning_Python#4反向传播推导
	https://camo.githubusercontent.com/ca2272d84ff4c2ea28519de9728f5e55567e0bcbc832ceda6b7701e6362f1e3b/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d25323025323425323425354344656c7461253230253742253742253543726d253742782537442537445f6c25374425323025334425323025354377696465686174253230253742253742575f6c25374425374425354344656c7461253230253742795f6c253744253234253234
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	https://github.com/Xiaohu-cqu/DeepLearning_Python#5正向和反向传播讨论实验和prelu函数
	https://camo.githubusercontent.com/db99a2e4815dd5727fc9b6f5ebe04d65e687e4023146bffc9d6cf722316329e2/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f253543666e5f636d25323025323425323425354370726f642535436c696d6974735f2537426c253230253344253230322537442535454c253230253742253742312532302535436f76657225323032253744253543776964656861742532302537422537426e5f6c253744253744566172253542253742775f6c25374425354425374425323025334425323031253234253234
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_11.png
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/Weights_initialization_12.png
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	https://github.com/Xiaohu-cqu/DeepLearning_Python#四batch-normalizationbn批标准化
	https://github.com/Xiaohu-cqu/DeepLearning_Python#1说明-3
http://jmlr.org/proceedings/papers/v37/ioffe15.pdf	http://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.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.pdf
	https://github.com/Xiaohu-cqu/DeepLearning_Python#2论文概述
	https://github.com/Xiaohu-cqu/DeepLearning_Python#3bn思路
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	https://camo.githubusercontent.com/7e782beb0c40f9c0c66328e2891924cad3f4acc693cb772d8e9f416553934a72/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f2532342532342537422537422535437061727469616c2532306c2537442532302535436f7665722532302537422535437061727469616c25323025354367616d6d6125323025374425374425323025334425323025354373756d2535436c696d6974735f25374269253230253344253230312537442535456d2532302537422537422537422535437061727469616c2532306c2537442532302535436f7665722532302537422535437061727469616c253230253742795f6925374425374425374425374425323025374225354377696465686174253230785f69253744253234253234
	https://camo.githubusercontent.com/411f878099f673defd51b28c2a74a64dd3a652667f8d42770f0f7f0ad60d4541/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f2532342532342537422537422535437061727469616c2532306c2537442532302535436f7665722532302537422535437061727469616c2532302535436265746125323025374425374425323025334425323025354373756d2535436c696d6974735f25374269253230253344253230312537442535456d2532302537422537422537422535437061727469616c2532306c2537442532302535436f7665722532302537422535437061727469616c253230253742795f69253744253744253744253744253230253234253234
	https://github.com/Xiaohu-cqu/DeepLearning_Python#4bn网络的训练和推断
	https://camo.githubusercontent.com/15262e583f4cfc5038cea8f54f4756f657f6de661a59ead83c67ca29a5afe250/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f25323425323445253542782535442532302535436c6566746172726f77253230253742455f422537442535422537422535436d752532305f42253744253544253234253234
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	https://camo.githubusercontent.com/8f00087df1dc97635f04f26c07fc786b790855e24d790785e65d7fc7a0aa370c/687474703a2f2f6c617465782e636f6465636f67732e636f6d2f6769662e6c617465783f2532342532342535436571616c69676e2537422532302532362532307925323025334425323025354367616d6d61253230253742253742782532302d25323045253238782532392537442532302535436f76657225323025374225354373717274253230253742566172253542782535442532302b253230253543766172657073696c6f6e2532302537442532302537442537442532302b2532302535436265746125323025354363722532302532362532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e2532303170742537442532302537422535436b65726e25323031707425374425323025334425323025374225354367616d6d612532302535436f76657225323025374225354373717274253230253742566172253542782535442532302b253230253543766172657073696c6f6e253230253744253230253744253744782532302b253230253238253543626574612532302d25323025374225374225354367616d6d6125323045253542782535442537442532302535436f76657225323025374225354373717274253230253742566172253542782535442532302b253230253543766172657073696c6f6e2532302537442532302537442537442532392532302535436372253744253230253234253234
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/BN_02.png
	https://github.com/Xiaohu-cqu/DeepLearning_Python#5实验
	https://github.com/Xiaohu-cqu/DeepLearning_Python/blob/master/images/BN_03.png
	https://github.com/Xiaohu-cqu/DeepLearning_Python#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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