Hessian based analysis of SGD for Deep Nets: Dynamics and Generalization

24 Jul 2019Xinyan LiQilong GuYingxue ZhouTiancong ChenArindam Banerjee

While stochastic gradient descent (SGD) and variants have been surprisingly successful for training deep nets, several aspects of the optimization dynamics and generalization are still not well understood. In this paper, we present new empirical observations and theoretical results on both the optimization dynamics and generalization behavior of SGD for deep nets based on the Hessian of the training loss and associated quantities... (read more)

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