[PDF]Generative Adversarial Learning: Architectures and Applications

Bibliographic Information

• Book Title: Generative Adversarial Learning: Architectures and Applications

• Editors: Roozbeh Razavi-Far, Ariel Ruiz-Garcia, Vasile Palade, Juergen Schmidhuber

• Series Title: Intelligent Systems Reference Library

• DOI: https://doi.org/10.1007/978-3-030-91390-8

• Publisher: Springer Cham

• eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

• Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

• Hardcover ISBN: 978-3-030-91389-2Published: 08 February 2022

• Softcover ISBN: 978-3-030-91392-2Due: 08 February 2023

• eBook ISBN: 978-3-030-91390-8Published: 07 February 2022

• Series ISSN: 1868-4394

• Series E-ISSN: 1868-4408

• Edition Number: 1

• Number of Pages: XIV, 355

• Number of Illustrations: 13 b/w illustrations, 132 illustrations in colour