Neuware - 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, Semi-Supervised GANs, Quantum GANs and Quantum Data Privacy, and Quantum GANs for image manipulation.

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Bibliographic Details

Title: Quantum Generative Adversarial Networks : GANs, Semi-Supervised GANs, Variational Autoencoders
Publisher: Walter De Gruyter Feb 2026
Publication Date: 2026
Language: English
ISBN 10: 3111354784
ISBN 13: 9783111354781
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 174 millimeters height by 27 millimeters depth
Weight: 772 grams

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Synopsis

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, Semi-Supervised GANs, Quantum GANs and Quantum Data Privacy, and Quantum GANs for image manipulation.

About the Author

Pethuru Raj, Amir Masoud Rahmani, Somenath Chakra Borty, Ambika Paranthaman, Jayanthiladevi; India.

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