Improved Training Loss Function Based on Deep Learning for Face Recognition
碩士 === 國立交通大學 === 電控工程研究所 === 107 === The difference between face recognition and the other pattern recognition is that the faces of people, which are identified in practical application, don’t belong to the training dataset. To identify these faces, we use the trained deep convolution neural networ...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/33tyta |