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About Deep Neural Network Architecture: Application For Facial Expression Recognition
This document describes a deep neural network architecture for facial expression recognition. The architecture was developed to classify two basic facial expressions - happy and sad. Researchers created a dataset of 3278 images with faces displaying these expressions in various environments, poses, ages, and ethnicities. Testing showed the architecture achieved over 95% accuracy on consistent data and over 90% accuracy on noisier heterogeneous data. The document also describes an implementation of a real-time facial expression recognition system using this architecture.
Detailed Information
| Author: | ['VAIJAYANTHI S'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 5 |
| Language: | English |
| Format: | |
| Price: | FREE |
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