Generative Adversarial Networks: Applications, Challenges, and Open Issues
Generative Adversarial Networks (GANs) represent an emerging class of deep generative models that have been attracting notable interest in recent years. These networks are unique in their capacity to train high-dimensional distributions spanning a range of data types. Conventional GANs encounter pro...
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| Main Authors: | , , |
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| Format: | Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2023
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| Subjects: | |
| Online Access: | https://www.intechopen.com/chapters/88363 |
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