# Ugenteraan/ResNet-50-CBAM-PyTorch

<https://repo.masters-masters.com/en/repos/Ugenteraan/ResNet-50-CBAM-PyTorch>

[Home](https://repo.masters-masters.com/en) › [Ugenteraan](https://repo.masters-masters.com/en/owners/Ugenteraan) › [ResNet-50-CBAM-PyTorch](https://repo.masters-masters.com/en/repos/Ugenteraan/ResNet-50-CBAM-PyTorch)

Ugenteraan/ResNet-50-CBAM-PyTorch has 101 stars on GitHub. Its RepoMasters card: Prototype tier. Implementation of Resnet-50 with and without CBAM in PyTorch…

| Field | Value |
| --- | --- |
| Owner | [Ugenteraan](https://repo.masters-masters.com/en/owners/Ugenteraan) |
| Stars | 101 |
| Forks | 21 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | resnet-50, pytorch-implementation, deep-learning, image-classification, cbam-resnet |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Ugenteraan/ResNet-50-CBAM-PyTorch](https://github.com/Ugenteraan/ResNet-50-CBAM-PyTorch) |

## Repository

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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