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This bookcomprehensively and systematically introduces the theory of generative adversarialnetworks and its applications in image and voice processing. This book consistsof 12 chapters, of which the first four chapters present basic knowledge,including the principle of GAN, optimization objectives, training methods andevaluation indicators. The last eight chapters introduce the applications ofGAN in various vertical fields, covering image generation, video generation,image translation, face image editing, image quality improvement, general imageediting, anti-attack, voice signal processing and other fields. Through readingthis book, readers will thoroughly understand the principles of GAN, variousGAN model designs, and learn to apply GAN for most vision and voice tasks.This book is suitable for the juniorresearchers, students or industrial practitioners in related areas.
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