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.
Pethuru Raj
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