New Interpretations of Normalization Methods in Deep Learning

16 Jun 2020Jiacheng SunXiangyong CaoHanwen LiangWeiran HuangZewei ChenZhenguo Li

In recent years, a variety of normalization methods have been proposed to help train neural networks, such as batch normalization (BN), layer normalization (LN), weight normalization (WN), group normalization (GN), etc. However, mathematical tools to analyze all these normalization methods are lacking... (read more)

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