Generative Adversarial Networks and Deep Learning : Theory and Applications
Book Details
Format
Paperback / Softback
ISBN-10
1032068116
ISBN-13
9781032068114
Publisher
Taylor & Francis Ltd
Imprint
Chapman & Hall/CRC
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Dec 19th, 2024
Print length
208 Pages
Weight
424 grams
Dimensions
17.80 x 25.30 x 1.50 cms
Product Classification:
MathematicsElectrical engineeringAutomatic control engineeringDigital and Information technology: general topicsInformation technology: general issuesGames development & programmingGames development and programmingComputer scienceMathematical theory of computationSystems analysis & designSystems analysis and designArtificial intelligenceArtificial intelligence (AI)Machine learningNeural networks & fuzzy systemsNeural networks and fuzzy systems
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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.
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.
Get Generative Adversarial Networks and Deep Learning by at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Taylor & Francis Ltd and it has pages.
