[Paper] ShakeDrop: Shakedrop Regularization for Deep Residual Learning (Image Classification) | by Sik-Ho Tsang | Nov, 2020

ShakeDrop: converge to a better minimum

In this story, ShakeDrop Regularization for Deep Residual Learning (ShakeDrop), by Osaka Prefecture University, and Preferred Networks, Inc., is shortly presented. In this paper:

This is a paper in 2019 IEEE ACCESS with over 40 citations, where ACCESS is an open access journal with high impact factor of 3.745. (Sik-Ho Tsang @ Medium)

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