Generative Adversarial Learning: Architectures and Applications

Released on by Roozbeh Razavi-Far
preview-18

  • Generative Adversarial Learning: Architectures and Applications Book Detail

  • Author : Roozbeh Razavi-Far
  • Release Date : 2022-03-11
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 355
  • ISBN 13 : 3030913902
  • File Size : 59,59 MB
DOWNLOAD BOOK

Generative Adversarial Learning: Architectures and Applications by Roozbeh Razavi-Far PDF Summary

Book Description: This book provides a collection of recent research works addressing theoretical issues on improving the learning process and the generalization of GANs as well as state-of-the-art applications of GANs to various domains of real life. Adversarial learning fascinates the attention of machine learning communities across the world in recent years. Generative adversarial networks (GANs), as the main method of adversarial learning, achieve great success and popularity by exploiting a minimax learning concept, in which two networks compete with each other during the learning process. Their key capability is to generate new data and replicate available data distributions, which are needed in many practical applications, particularly in computer vision and signal processing. The book is intended for academics, practitioners, and research students in artificial intelligence looking to stay up to date with the latest advancements on GANs’ theoretical developments and their applications.

Disclaimer: www.yourbookbest.com does not own Generative Adversarial Learning: Architectures and Applications books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.