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SGDNoise

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

Install / Use

/learn @uuujf/SGDNoise
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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<sup>*</sup>, Jingfeng Wu<sup>*</sup>, 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

View on GitHub
GitHub Stars15
CategoryDevelopment
Updated2mo ago
Forks1

Languages

Python

Security Score

80/100

Audited on Jan 14, 2026

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