Generative Adversarial Network
Principle and Practice
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Beschreibung
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.
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.
Describes most well-known GAN architectures in image and voice signal processing Provides a systematically introduction to the theories and applications of GANs Provides rich practical cases helping the readers understand the engineering details of GAN
Autor*in
Peng Long
Themen in »Generative Adversarial Network«
Generative Adversarial Network Deep Learning Machine Learning Artificial Intelligence Image Generation Computer Vision Image synthesis Image Processing Convolutional Neural Network