https://github.com/uefi-code/selfadaptiveactivation-cnn

Code for the paper "A Self-Adaptive and Multiple Activation Function Neural Network for Facial Expression Recognition"
https://github.com/uefi-code/selfadaptiveactivation-cnn

activation-functions cnn machine-learning

Last synced: 3 months ago
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Code for the paper "A Self-Adaptive and Multiple Activation Function Neural Network for Facial Expression Recognition"

• Host: GitHub
• URL: https://github.com/uefi-code/selfadaptiveactivation-cnn
• Owner: UEFI-code
• Created: 2022-04-24T03:36:18.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2024-11-02T02:27:33.000Z (over 1 year ago)
• Last Synced: 2024-11-02T03:20:08.435Z (over 1 year ago)
• Topics: activation-functions, cnn, machine-learning
• Language: Python
• Homepage:
• Size: 45.9 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Self Adaptive Activation Function for CNN

Facial Expression Recognition Demo.

Expected to work on Python3 and latest PyTorch.

## How to train

First, you need to edit the config.py to fit your environment.

Then

```bash

pip3 install -r requirements.txt

python3 train.py

```

## Claim

Paper link: https://dl.acm.org/doi/10.1145/3501409.3501605

No commercial use.