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Generative Adversarial Learning: Architectures and Applications

Generative Adversarial Learning: Architectures and Applications

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Format: Hardback
Length: 355 pages
Publication date: 08 February 2022
Publisher: Springer Nature Switzerland AG

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.

Weight: 723g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030913892
Edition number: 1st ed. 2022

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