Mathematical Aspects of Deep Learning - Couverture rigide

 
9781316516782: Mathematical Aspects of Deep Learning
Couverture rigide
ISBN 10 : 1316516784 ISBN 13 : 9781316516782
Editeur : Cambridge University Press, 2022

Synopsis

In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.

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À propos des auteurs

Philipp Grohs is Professor of Applied Mathematics at the University of Vienna and Group Leader of Mathematical Data Science at the Austrian Academy of Sciences.

Gitta Kutyniok is Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence at Ludwig-Maximilians Universität München and Adjunct Professor for Machine Learning at the University of Tromsø.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Cambridge University Press
Date d'édition
2022
Langue
anglais
ISBN 10 
1316516784
ISBN 13 
9781316516782
Reliure
Relié
Nombre de pages
492
Éditeur
Grohs Philipp, Kutyniok Gitta
Coordonnées du fabricant
non disponible
Personne responsable
Avery
https://www.avery.fr/

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