# chengyangfu/pytorch-vgg-cifar10

<https://repo.masters-masters.com/en/repos/chengyangfu/pytorch-vgg-cifar10>

[Home](https://repo.masters-masters.com/en) › [chengyangfu](https://repo.masters-masters.com/en/owners/chengyangfu) › [pytorch-vgg-cifar10](https://repo.masters-masters.com/en/repos/chengyangfu/pytorch-vgg-cifar10)

chengyangfu/pytorch-vgg-cifar10 has 358 stars on GitHub. Its RepoMasters card: Alpha tier. This is the PyTorch implementation of VGG network trained on…

| Field | Value |
| --- | --- |
| Owner | [chengyangfu](https://repo.masters-masters.com/en/owners/chengyangfu) |
| Stars | 358 |
| Forks | 119 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [chengyangfu/pytorch-vgg-cifar10](https://github.com/chengyangfu/pytorch-vgg-cifar10) |

## Repository

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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