Deep Learning Architectures / Ovidiu Calin

Public ISBD Titre : Deep Learning Architectures : A Mathematical Approach Type de document : texte imprimé Auteurs : Ovidiu Calin, Auteur Mention d'édition : 1ère édition Editeur : Springer Année de publication : 2020 Importance : 760 pages ISBN/ISSN/EAN : 978-3-030-36723-7 Prix : 25670f Langues : Français (fre) Index. décimale : K.45 Intelligence artificielle et big-data, machine Learning Résumé : 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. Deep Learning Architectures : A Mathematical Approach [texte imprimé] / Ovidiu Calin, Auteur  . -  1ère édition . - Springer, 2020 . - 760 pages. ISBN : 978-3-030-36723-7 : 25670f Langues : Français (fre) Index. décimale : K.45 Intelligence artificielle et big-data, machine Learning Résumé : 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.

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Code-barres	Cote	Support	Localisation	Section	Disponibilité
100075915	K.45 CAL	Livre	Salle " Abraham Lincoln"	AL-E10a	A Consulter sur Place Exclu du prêt

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