Escaping from Collapsing Modes in a Constrained Space
碩士 === 國立清華大學 === 資訊工程學系所 === 106 === Generative adversarial networks (GANs) often suffer from unpredictable mode- collapsing during training. We study the issue of mode collapse of Boundary Equilib- rium Generative Adversarial Network (BEGAN), which is one of the state-of-the-art generative models....
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/kjdve5 |