Generative Adversarial Network: Principle and Practice - Rilegato

Peng, Long; Guo, Xiaozhou

Rilegato

ISBN 10: 9819694035 ISBN 13: 9789819694037

Casa editrice: Springer-Nature New York Inc, 2026

Riassunto

This book

comprehensively and systematically introduces the theory of generative adversarial

networks and its applications in image and voice processing. This book consists

of 12 chapters, of which the first four chapters present basic knowledge,

including the principle of GAN, optimization objectives, training methods and

evaluation indicators. The last eight chapters introduce the applications of

GAN in various vertical fields, covering image generation, video generation,

image translation, face image editing, image quality improvement, general image

editing, anti-attack, voice signal processing and other fields. Through reading

this book, readers will thoroughly understand the principles of GAN, various

GAN model designs, and learn to apply GAN for most vision and voice tasks.

This book is suitable for the junior

researchers, students or industrial practitioners in related areas.

Su questo libro

Informazioni sull?autore

Long Peng, an expert and senior author in the

field of deep learning. He is currently the CEO of Beijing YouSan Educational

Technology Co., Ltd.. He is the Most Valuable Professional of Alibaba Cloud and

HUAWEI Cloud, Publicity Chair in HDIS 2022. He has published four books alone

and one book with others in recent 5 years and is one of the leaders in book

creation in the field of deep learning and computer vision in China.

Xiaozhou Guo, Chinese Academy of Sciecne

Dalla quarta di copertina

This book

comprehensively and systematically introduces the theory of generative adversarial

networks and its applications in image and voice processing. This book consists

of 12 chapters, of which the first four chapters present basic knowledge,

including the principle of GAN, optimization objectives, training methods and

evaluation indicators. The last eight chapters introduce the applications of

GAN in various vertical fields, covering image generation, video generation,

image translation, face image editing, image quality improvement, general image

editing, anti-attack, voice signal processing and other fields. Through reading

this book, readers will thoroughly understand the principles of GAN, various

GAN model designs, and learn to apply GAN for most vision and voice tasks.

This book is suitable for the junior

researchers, students or industrial practitioners in related areas.

Dettagli dell'edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2026
• Lingua: Inglese
• ISBN 10: 9819694035
• ISBN 13: 9789819694037
• Rilegatura: Copertina rigida
• Numero di pagine: 500
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania