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The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects

An implementation for the paper:

The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects

Zhanxing Zhu*, Jingfeng Wu*, Bing Yu, Lei Wu, Jinwen Ma

Usage

Two-dimensional experiments

See folder 2Dim.

One hidden layer experiments

See folder OneHiddenLayer.

FashionMNIST

See folder FashionMNIST.

SVHN adn CIFAR-10

See folder SVHN and CIFAR-10.

Note

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[ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects

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