Generative adversarial networks and deep learning: theory and applications
Éditeur :
Taylor & Francis Ltd
ISBN :
9781032068107
Date de publication :
10 avr. 2023
Dimensions :
25,4 x 17,8 cm
Poids :
453 g
Langue :
Anglais
Pays d'origine :
Grande Bretagne
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. It concentrates on cutting-edge research in DL and GAN which includes creating new tools and methods for processing text, images, and audio.