https://github.com/veb-101/facial-expression-recognition

Classify facial expression using PyTorch
https://github.com/veb-101/facial-expression-recognition

cnn-classification deep-learning facial-expression-recognition pytorch resnet

Last synced: about 2 months ago
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Classify facial expression using PyTorch

• Host: GitHub
• URL: https://github.com/veb-101/facial-expression-recognition
• Owner: veb-101
• License: mit
• Created: 2020-07-01T02:16:08.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2020-07-01T17:59:50.000Z (over 4 years ago)
• Last Synced: 2023-03-05T12:33:15.417Z (almost 2 years ago)
• Topics: cnn-classification, deep-learning, facial-expression-recognition, pytorch, resnet
• Language: Jupyter Notebook
• Homepage: https://veb-101.github.io/Facial-Expression-Recognition/
• Size: 1.33 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Facial Expression Recognition using PyTorch

![Cover image](un-transform.png)

Hello everyone, I hope you are doing well during these time. In this project, we're going to look at how to build a **facial expression recognition** project from scratch using PyTorch. We'll start from simple task such as downloading dataset, dataset preparation to writing our own custom CNN and a build a ResNet-9 for our use case. We'll also experiment with different learning rate schedulers. Hope you enjoy it.

- Blog Post detailing steps: [github pages](https://veb-101.github.io/Facial-Expression-Recognition/)

- Jupyter notebook (hosted on jovian.ml) -> [Facial Expression Recognition using PyTorch](https://jovian.ml/vaibhav-singh-3001/facial-expression-recognition)

##### Updates

1. Notebook updated to use `ReduceLROnPlateau` learning rate scheduler.