Generative Adversarial Learning: Architectures and Applications
Springer Nature Switzerland AG, 2022
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This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life.
- ISBN-13
- 9783030913892
- ISBN-10
- 3030913899
- Publisher
- Springer Nature Switzerland AG
- Year
- 2022
- Publication date
- 2022-02-08
- Pages
- 355
- Dimensions
- 235x155x