isseu/emotion-recognition-neural-networks
A university project that trains a convolutional neural network to classify 7 emotional expressions from facial images using TensorFlow.
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This repository implements a convolutional neural network for recognizing emotions (angry, disgusted, fearful, happy, sad, surprised, neutral) from facial images. It uses the FER-2013 dataset containing 28,709 face images, trains the model with TensorFlow, and includes scripts for data conversion and training. The project was developed as a university seminar assignment at TU Delft and achieves approximately 67% accuracy on the dataset.
Frequently asked
- What is isseu/emotion-recognition-neural-networks?
- A university project that trains a convolutional neural network to classify 7 emotional expressions from facial images using TensorFlow.
- Is emotion-recognition-neural-networks open source?
- Yes — isseu/emotion-recognition-neural-networks is open source, released under the MIT license.
- What language is emotion-recognition-neural-networks written in?
- isseu/emotion-recognition-neural-networks is primarily written in Python.
- How popular is emotion-recognition-neural-networks?
- isseu/emotion-recognition-neural-networks has 846 stars on GitHub.
- Where can I find emotion-recognition-neural-networks?
- isseu/emotion-recognition-neural-networks is on GitHub at https://github.com/isseu/emotion-recognition-neural-networks.