An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity

3 Feb 2019Yingzhen YangJiahui YuXingjian LiJun HuanThomas S. Huang

Regularization of Deep Neural Networks (DNNs) for the sake of improving their generalization capability is important and challenging. The development in this line benefits theoretical foundation of DNNs and promotes their usability in different areas of artificial intelligence... (read more)

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