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- 深度学习中 Batch Normalization为什么效果好？ - 知乎
4 Why BN? 好了，现在才是重头戏－－为什么要用BN？ BN work的原因是什么？ 说到底，BN的提出还是为了克服深度神经网络难以训练的弊病。 其实BN背后的insight非常简单，只是在文章中被Google复杂化了。 首先来说说“Internal Covariate Shift”。
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- BN 层在神经网络中的作用是什么？ - 知乎
BN（Batch Normalization）最早的论文是由Sergey Ioffe和Christian Szegedy在2015年提出的，题为"Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift"。 该论文提出了 BN 层的概念，并探讨了 BN 层对深度神经网络训练的加速作用。
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