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    Generative Adversarial Network

Generative Adversarial Network

Peng Long
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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.

      Format: Hardback CONTRIBUTORS: Peng Long EAN: 9789819694037 COUNTRY: Switzerland PAGES: 392 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2025-12-29 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MATHEMATICS / Probability & Statistics / General WIDTH: 155 mm SPINE:

      Book Themes:

      Electronics engineering, Machine learning, Pattern recognition, Computer vision, Image processing

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      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, China Electronics Technology Group Corporation No. 54 Research Institute.His main research directions include artificial intelligence and communication intelligence. He has co-authored 1 monograph in the past five years.

      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.

      Format: Hardback CONTRIBUTORS: Peng Long EAN: 9789819694037 COUNTRY: Switzerland PAGES: 392 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2025-12-29 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, MATHEMATICS / Probability & Statistics / General WIDTH: 155 mm SPINE:

      Book Themes:

      Electronics engineering, Machine learning, Pattern recognition, Computer vision, Image processing

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      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, China Electronics Technology Group Corporation No. 54 Research Institute.His main research directions include artificial intelligence and communication intelligence. He has co-authored 1 monograph in the past five years.

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