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.