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E-raamat: Generative Adversarial Network: Principle and Practice

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  • Formaat: PDF+DRM
  • Sari: Computer Science
  • Ilmumisaeg: 02-Feb-2026
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9789819694044
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Generative Adversarial Network: Principle and PracticeSuurem pilt
  • Formaat: PDF+DRM
  • Sari: Computer Science
  • Ilmumisaeg: 02-Feb-2026
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9789819694044
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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.

"Chapter 1 Generative Model".- "Chapter 2 Objective Function
Optimization".- "Chapter 3 Training Techniques".- "Chapter 4 Evaluation
Methods and Visualization".- "Chapter 5 Image Generation".- "Chapter 6 Image
Translation".- "Chapter 7 Face Image Editing".- "Chapter 8 Image Quality
Enhancement".- "Chapter 9 Generation of 3D pictures and videos".- "Chapter 10
General Image Editing".- "Chapter 11 Adversarial Attack".- "Chapter 12 Speech
Signal Processing".
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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Püsilink: https://www.kriso.ee/db/97898196940442e.html