Articles liés à Deep Learning Architectures: A Mathematical Approach
Synopsis
This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.
This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Ovidiu Calin, a graduate from University of Toronto, is a professor at Eastern Michigan University and a former visiting professor at Princeton University and University of Notre Dame. He has delivered numerous lectures at several universities in Japan, Hong Kong, Taiwan, and Kuwait over the last 15 years. His publications include over 60 articles and 8 books in the fields of machine learning, computational finance, stochastic processes, variational calculus and geometric analysis.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 40,84
EUR 4,63 expédition depuis Royaume-Uni vers France
Destinations, frais et délaisAutres éditions populaires du même titre
Résultats de recherche pour Deep Learning Architectures: A Mathematical Approach
Image d'archives
Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. In. N° de réf. du vendeur ria9783030367237_new
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Deep Learning Architectures
Edité par
Springer International Publishing Feb 2021, 2021
ISBN 10 : 3030367231
ISBN 13 : 9783030367237
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject. 792 pp. Englisch. N° de réf. du vendeur 9783030367237
Quantité disponible : 1 disponible(s)
Image d'archives
Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences)
Vendeur : Chiron Media, Wallingford, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : New. N° de réf. du vendeur 6666-IUK-9783030367237
Quantité disponible : 10 disponible(s)
Image fournie par le vendeur
Deep Learning Architectures : A Mathematical Approach
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur 43170841-n
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Deep Learning Architectures
Edité par
Springer Nature Switzerland AG, CH, 2021
ISBN 10 : 3030367231
ISBN 13 : 9783030367237
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : New. 1st ed. 2020. This book describes how neural networks operate from the mathematical point of view. As a result, neural networks can be interpreted both as function universal approximators and information processors. The book bridges the gap between ideas and concepts of neural networks, which are used nowadays at an intuitive level, and the precise modern mathematical language, presenting the best practices of the former and enjoying the robustness and elegance of the latter.This book can be used in a graduate course in deep learning, with the first few parts being accessible to senior undergraduates. In addition, the book will be of wide interest to machine learning researchers who are interested in a theoretical understanding of the subject. N° de réf. du vendeur LU-9783030367237
Quantité disponible : Plus de 20 disponibles
Image d'archives
Deep Learning Architectures: A Mathematical Approach
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-45729
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Deep Learning Architectures : A Mathematical Approach
Edité par
Springer, 2021
ISBN 10 : 3030367231
ISBN 13 : 9783030367237
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 43170841
Quantité disponible : Plus de 20 disponibles
Image d'archives
DEEP LEARNING ARCHITECTURES
Vendeur : Basi6 International, Irving, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-325271
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Deep Learning Architectures : A Mathematical Approach
Edité par
Springer, 2021
ISBN 10 : 3030367231
ISBN 13 : 9783030367237
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 43170841
Quantité disponible : Plus de 20 disponibles
Image d'archives
Deep Learning Architectures: A Mathematical Approach
Vendeur : SMASS Sellers, IRVING, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed. N° de réf. du vendeur ASNT3-45729
Quantité disponible : 1 disponible(s)