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About Facial Emotion Recognition Using Deep Learning: Ankit Awasthi (Y8084)
This document discusses facial emotion recognition using deep learning. It explores using deep belief networks, which are stacks of restricted Boltzmann machines, for facial emotion recognition. The document examines the JAFFE dataset of facial images labeled with seven emotions. It reports results on varying the number of hidden layers and units in the deep belief network, as well as the size of input images. Key findings include that lower spatial frequencies were more useful for emotion recognition than higher frequencies, and increasing the number of hidden layers and units improved performance, up to a point.
Detailed Information
| Author: | ['Gaurav Gaikwad'] |
|---|---|
| Publication Year: | 2018 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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