Wasserstein Adversarial Domain Adaptation
碩士 === 國立交通大學 === 電機工程學系 === 107 === Deep learning has achieved a great success in many real-world applications ranging the fields from computer vision to natural language processing. Basically, a desirable performance based on deep learning requires a large amount of labelled data for supervised tr...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/2zxass |