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Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"

Jupyter Notebook 96.79% Python 3.13% Shell 0.07%

understanding-momentum's Introduction

Understanding the Role of Momentum in Stochastic Gradient Methods

To reproduce experiments performed in the paper, see code and comments in experiments.ipynb.

To run logistic regression on MNIST or ResNet-18 on CIFAR, you can use scripts in lr_on_mnist and resnet_on_cifar correspondingly. Run python main.py --help for list of available hyperparameters in both scripts.

To be able to run the code, you need to install the following Python packages: numpy, matplotlib, pytorch (v0.4), tensorboardx

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