isseu/emotion-recognition-neural-networks
Emotion recognition using DNN with tensorflow
**Technical Summary:** Implements facial emotion classification across seven expressions (angry, disgusted, fearful, happy, sad, surprised, neutral) using convolutional neural networks on the FER-2013 dataset. The project provides multiple CNN architectures beyond the default AlexNet, with preprocessing pipelines that convert raw CSV image data to NumPy arrays for training. Includes both offline training and real-time inference modes via webcam integration.
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Python
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MIT
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Last pushed
Nov 22, 2022
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