Andere Kunden interessierten sich auch für
![Multimodal Learning for Clinical Decision Support]( "Multimodal Learning for Clinical Decision Support")
Multimodal Learning for Clinical Decision Support41,99 €![Deep Generative Models, and Data Augmentation, Labelling, and Imperfections]( "Deep Generative Models, and Data Augmentation, Labelling, and Imperfections")
Deep Generative Models, and Data Augmentation, Labelling, and Imperfections49,99 €![Simulation and Synthesis in Medical Imaging]( "Simulation and Synthesis in Medical Imaging")
Simulation and Synthesis in Medical Imaging38,99 €![Deep Learning and Data Labeling for Medical Applications]( "Deep Learning and Data Labeling for Medical Applications")
Deep Learning and Data Labeling for Medical Applications38,99 €![Convolutional Neural Network in classifying scanned documents]( "Convolutional Neural Network in classifying scanned documents")
Convolutional Neural Network in classifying scanned documents17,95 €![Deep Generative Models]( "Deep Generative Models")
Deep Generative Models41,99 €![Simulation and Synthesis in Medical Imaging]( "Simulation and Synthesis in Medical Imaging")
Simulation and Synthesis in Medical Imaging38,99 €
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.
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.