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Buch Cover Quantum Generative Adversarial Networks

De Gruyter
159.95 € · Hardcover

Artificial Intelligence Deep Neural Networks (DNNs) Generative Adversarial Networks Quantum Computing Variational Autoencoders (VAEs)_x000D_ _x000D_ Deep Neural Networks Generative Adversarial Networks Künstliche Intelligenz Quantencomputer

GANs represent a generative model leveraging the growing power of deep learning (DL) algorithms. This book presents the breakthroughs, applications and latest research innovations of GANs and of quantum GANs. In particular, the book includes contributions on Autoencoders and Variational Autoencoders...

Generative Adversarial Networks for Image Generation

Xudong Mao, Qing Li
Springer Singapore
160.49 € · Hardcover

Generative Adversarial Networks GANs Adversarial Networks Image Generation Generative Models Image to Image Translation Unsupervised Domain Adaptation Deep Learning Neural Networks Machine Learning

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because t...

Quantum Generative Adversarial Networks

De Gruyter
159.95 € · eBook

Artificial Intelligence Deep Neural Networks (DNNs) Generative Adversarial Networks Quantum Computing Variational Autoencoders (VAEs)_x000D_ _x000D_ Deep Neural Networks Generative Adversarial Networks Künstliche Intelligenz Quantencomputer

GANs represent a generative model leveraging the growing power of deep learning (DL) algorithms. This book presents the breakthroughs, applications and latest research innovations of GANs and of quantum GANs. In particular, the book includes contributions on Autoencoders and Variational Autoencoders...

Quantum Generative Adversarial Networks

De Gruyter
159.95 € · eBook

Artificial Intelligence Deep Neural Networks (DNNs) Generative Adversarial Networks Quantum Computing Variational Autoencoders (VAEs)_x000D_ _x000D_ Deep Neural Networks Generative Adversarial Networks Künstliche Intelligenz Quantencomputer

GANs represent a generative model leveraging the growing power of deep learning (DL) algorithms. This book presents the breakthroughs, applications and latest research innovations of GANs and of quantum GANs. In particular, the book includes contributions on Autoencoders and Variational Autoencoders...

A Primer on Generative Adversarial Networks

Sanaa Kaddoura
Springer International Publishing
53.49 € · eBook

Machine Learning Artificial Intelligence Image Processing Generative Models Deep Fake

This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, ...

A Primer on Generative Adversarial Networks

Sanaa Kaddoura
Springer International Publishing
53.49 € · Paperback

Machine Learning Artificial Intelligence Image Processing Generative Models Deep Fake

This book is meant for readers who want to understand GANs without the need for a strong mathematical background. Moreover, it covers the practical applications of GANs, making it an excellent resource for beginners. A Primer on Generative Adversarial Networks is suitable for researchers, ...

Generative Adversarial Networks for Image Generation

Xudong Mao, Qing Li
Springer Singapore
149.79 € · eBook

Generative Adversarial Networks GANs Adversarial Networks Image Generation Generative Models Image to Image Translation Unsupervised Domain Adaptation Deep Learning Neural Networks Machine Learning

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because t...

Generative Adversarial Networks for Image Generation

Xudong Mao, Qing Li
Springer Singapore
160.49 € · Paperback

Generative Adversarial Networks GANs Adversarial Networks Image Generation Generative Models Image to Image Translation Unsupervised Domain Adaptation Deep Learning Neural Networks Machine Learning

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because t...

Adversarial Multimedia Forensics

Springer International Publishing
192.59 € · Hardcover

Adversarial Attacks DeepFake Detection Multimedia Forensics Digital Forensics Image Forensics Video Forensics Audio Forensics Deep Learning in Forensics Forgery Detection Adversarial Defense Generative Adversarial Networks Image Manipulation Adversarial Machine learning Steganalysis Watermarking

This book explores various aspects of digital forensics, security and machine learning, while offering valuable insights into the ever-evolving landscape of multimedia forensics and data security. This book’s content can be summarized in two main areas. The first area of this book primarily addres...