Items related to Generative Adversarial Networks and Deep Learning:...
Synopsis
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.
A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.
Features:
- Presents a comprehensive guide on how to use GAN for images and videos.
- Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GAN
- Highlights the inclusion of gaming effects using deep learning methods
- Examines the significant technological advancements in GAN and its real-world application.
- Discusses as GAN challenges and optimal solutions
The book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.
The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum
"synopsis" may belong to another edition of this title.
Search results for Generative Adversarial Networks and Deep Learning:...
Stock Image
GENERATIVE ADVERSARIAL NETWORKS AND DEE
Seller: Speedyhen, London, United Kingdom
Seller rating 5 out of 5 stars
Condition: NEW. Seller Inventory # NW9781032068114
Quantity: 1 available
Stock Image
Generative Adversarial Networks and Deep Learning: Theory and Applications
Published by
Taylor & Francis Ltd, 2024
ISBN 10: 1032068116
ISBN 13: 9781032068114
New
Paperback / softback
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 408. Seller Inventory # B9781032068114
Quantity: 1 available
Stock Image
Generative Adversarial Networks and Deep Learning : Theory and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 48903681-n
Quantity: Over 20 available
Stock Image
Generative Adversarial Networks and Deep Learning
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9781032068114_new
Quantity: Over 20 available
Stock Image
Generative adversarial networks and deep learning
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. pages cm. Seller Inventory # 398845827
Quantity: 3 available
Stock Image
Generative Adversarial Networks and Deep Learning: Theory and Applications
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 222 pages. 10.00x7.00 inches. In Stock. Seller Inventory # __1032068116
Quantity: 1 available
Stock Image
Generative Adversarial Networks and Deep Learning : Theory and Applications
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 48903681
Quantity: Over 20 available
Stock Image
Generative Adversarial Networks and Deep Learning (Paperback)
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio.A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology, including computer vision, security, multimedia and advertisements, image generation, image translation,text-to-images synthesis, video synthesis, generating high-resolution images, drug discovery, etc.Features:Presents a comprehensive guide on how to use GAN for images and videos.Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network, Intrusion detection using GANHighlights the inclusion of gaming effects using deep learning methodsExamines the significant technological advancements in GAN and its real-world application.Discusses as GAN challenges and optimal solutionsThe book addresses scientific aspects for a wider audience such as junior and senior engineering, undergraduate and postgraduate students, researchers, and anyone interested in the trends development and opportunities in GAN and Deep Learning.The material in the book can serve as a reference in libraries, accreditation agencies, government agencies, and especially the academic institution of higher education intending to launch or reform their engineering curriculum 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032068114
Quantity: 1 available
Stock Image
Generative Adversarial Networks and Deep Learning: Theory and Applications
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # V9781032068114
Quantity: 1 available
Stock Image
Generative adversarial networks and deep learning
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pages cm First edition Includes bibliographical references and index. Seller Inventory # 26397563996
Quantity: 4 available