Generative Adversarial Learning: Architectures and Applications - Couverture souple

9783030913922: Generative Adversarial Learning: Architectures and Applications

Couverture souple

ISBN 10 : 3030913929 ISBN 13 : 9783030913922

Editeur : Springer, 2023

Afficher les exemplaires de cette �dition comportant l?ISBN

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.

Les informations fournies dans la section � Synopsis � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer
Date d'�dition2023
ISBN 10 3030913929
ISBN 13 9783030913922
ReliureBroch�
Langueanglais
Nombre de pages372
�diteurRazavi-Far Roozbeh, Ruiz-Garcia Ariel, Palade Vasile, Schmidhuber Juergen
Coordonn�es du fabricantnon disponible

Acheter neuf

Afficher cet article

EUR 162,51

Autre devise

EUR 9,70 exp�dition depuis Allemagne vers France

Destinations, frais et d�lais

Ajouter au panier

Autres �ditions populaires du m�me titre

9783030913892: Generative Adversarial Learning: Architectures and Applications

Edition pr�sent�e

ISBN 10 : 3030913899 ISBN 13 : 9783030913892
Editeur : Springer Nature Switzerland AG, 2022
Couverture rigide

R�sultats de recherche pour Generative Adversarial Learning: Architectures and...

Image fournie par le vendeur

Generative Adversarial Learning: Architectures and Applications

Edit� par Springer International Publishing, 2023

ISBN 10 : 3030913929 ISBN 13 : 9783030913922

Neuf Kartoniert / Broschiert

impression � la demande

Vendeur : moluna, Greven, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents high-quality research articles addressing theoretical work for improving the learning process Provides a gentle introduction to GANs and related domainsDescribes most well-known GAN architectures and applications domains. N� de r�f. du vendeur 799921051

Contacter le vendeur

Acheter neuf

EUR 162,51

Autre devise

Frais de port : EUR 9,70

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Generative Adversarial Learning: Architectures and Applications (Intelligent Systems Reference Library)

Edit� par Springer, 2023

ISBN 10 : 3030913929 ISBN 13 : 9783030913922

Neuf Couverture souple

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : New. In. N� de r�f. du vendeur ria9783030913922_new

Contacter le vendeur

Acheter neuf

EUR 193,55

Autre devise

Frais de port : EUR 4,69

De Royaume-Uni vers France

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Generative Adversarial Learning: Architectures and Applications

Roozbeh Razavi-Far

Edit� par Springer International Publishing, 2023

ISBN 10 : 3030913929 ISBN 13 : 9783030913922

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. N� de r�f. du vendeur 9783030913922

Contacter le vendeur

Acheter neuf

EUR 192,59

Autre devise

Frais de port : EUR 10,99

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Generative Adversarial Learning: Architectures and Applications

Roozbeh Razavi-Far

Edit� par Springer International Publishing Feb 2023, 2023

ISBN 10 : 3030913929 ISBN 13 : 9783030913922

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 372 pp. Englisch. N� de r�f. du vendeur 9783030913922

Contacter le vendeur

Acheter neuf

EUR 192,59

Autre devise

Frais de port : EUR 11

De Allemagne vers France

Destinations, frais et d�lais

Quantit� disponible : 2 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Generative Adversarial Learning: Architectures and Applications

Roozbeh Razavi-Far

Edit� par Springer International Publishing, Springer International Publishing Feb 2023, 2023

ISBN 10 : 3030913929 ISBN 13 : 9783030913922

Neuf Taschenbuch

Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. N� de r�f. du vendeur 9783030913922

Contacter le vendeur