Elektran R Generative Adversarial Networks (GANs) 2024
General:
Name: Elektran R Generative Adversarial Networks (GANs) 2024
Format: pdf
Size: 20.9 MB
Book:
Title: B0CWKY7PW9.pdf
Author: Pethuru Raj (Editor), Amir Masoud Rahmani (Editor), Somenath Chakraborty (Editor), Ambika Paranthaman (Editor), A. Jayanthiladevi (Editor)
Language: angielski
Year: 2025
Subjects: N/A
Publisher: De Gruyter
ISBN: 9783111355221
Total pages: 447
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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