Generative Adversarial Learning: Architectures and Applications /

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. Adversarial learning fascinates the attention of machine learning...

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Bibliographic Details

Corporate Author:	SpringerLink (Online service)
Other Authors:	Razavi-Far, Roozbeh (Editor), Ruiz-Garcia, Ariel (Editor), Palade, Vasile (Editor), Schmidhuber, Juergen (Editor)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:	1st ed. 2022.
Series:	Intelligent Systems Reference Library, 217
Subjects:	Computational intelligence. Machine learning. Engineering-Data processing. Computational Intelligence. Machine Learning. Data Engineering. Electronic books.
Online Access:	Connect to the full text of this electronic book