{
"item_title" : "Quantum Generative Adversarial Networks",
"item_author" : [" Pethuru Raj", "Amir Masoud Rahmani", "Somenath Chakraborty "],
"item_description" : "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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Quantum Generative Adversarial Networks : Gans, Semi-Supervised Gans, Variational Autoencoders
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783111354781
- ISBN-10: 3111354784
- Publisher: de Gruyter
- Publish Date: February 2026
- Dimensions: 9.61 x 6.69 x 0.88 inches
- Shipping Weight: 1.8 pounds
- Page Count: 388
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