Deep Learning 27：Batch normalization理解——读论文“Batch normalization: Accelerating deep network training by reducing internal covariate shift ”——ICML 2015
2017-02-22 16:20
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这篇经典论文，甚至可以说是2015年最牛的一篇论文，早就有很多人解读，不需要自己着摸，但是看了论文原文Batch normalization: Accelerating deep network training by reducing internal covariate shift 和下面的这些解读之后，还有感觉有些不明白。比如，
是怎么推导出来的，我怎么就是没搞懂呢？
1.论文翻译：论文笔记-Batch Normalization
2.[b]博客专家[/b] 黄锦池 的解读：深度学习（二十九）Batch Normalization 学习笔记，这个人解读了很多最新论文，都比较值得看！
3.happynear的博客： 《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》阅读笔记与实现，里面用matlab用了实验，但没有找到代码，看了他的其他博客，感觉还比较牛
4.深度学习中 Batch Normalization为什么效果好？
5.解读Batch Normalization
6.Batch Normalization 导读
7.[b]博客专家[/b] 阿里的 张俊林的解读：Batch Normalization导读
是怎么推导出来的，我怎么就是没搞懂呢？
1.论文翻译：论文笔记-Batch Normalization
2.[b]博客专家[/b] 黄锦池 的解读：深度学习（二十九）Batch Normalization 学习笔记，这个人解读了很多最新论文，都比较值得看！
3.happynear的博客： 《Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift》阅读笔记与实现，里面用matlab用了实验，但没有找到代码，看了他的其他博客，感觉还比较牛
4.深度学习中 Batch Normalization为什么效果好？
5.解读Batch Normalization
6.Batch Normalization 导读
7.[b]博客专家[/b] 阿里的 张俊林的解读：Batch Normalization导读
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