Architecture and algorithm development for generative adversarial networks
Generative Adversarial Networks (GANs) are recently invented generative models which can produce highly realistic samples such as images. In GANs framework, a generator and a discriminator play a game against each other. The discriminator aims to find differences between the data distribution and th...
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| 格式: | Thesis-Doctor of Philosophy |
| 語言: | English |
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Nanyang Technological University
2020
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| 在線閱讀: | https://hdl.handle.net/10356/142989 |