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Signatur: LN-U 10-19882   QR-Code
Standort: Zweigstelle Neuenheim / Lehrbuchsammlung  3D-Plan
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Verfasst von:Berlyand, Leonid [VerfasserIn]   i
 Jabin, Pierre-Emmanuel [VerfasserIn]   i
Titel:Mathematics of deep learning
Titelzusatz:an introduction
Institutionen:Walter de Gruyter GmbH & Co. KG [Verlag]   i
Verf.angabe:Leonid Berlyand and Pierre-Emmanuel Jabin
Verlagsort:Berlin ; Boston
Verlag:De Gruyter
E-Jahr:2023
Jahr:[2023]
Umfang:VI, 126 Seiten
Illustrationen:Illustrationen, Diagramme
Format:24 cm x 17 cm
Gesamttitel/Reihe:De Gruyter graduate
Fussnoten:Bibliograpie: Seite 121-123
ISBN:978-3-11-102431-8
Abstract:The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that this compact textbook will offer a complementary point of view that emphasizes the underlying mathematical ideas. We believe that a more foundational perspective will help to answer important questions that have only received empirical answers so far. The material is based on a one-semester course Introduction to Mathematics of Deep Learning" for senior undergraduate mathematics majors and first year graduate students in mathematics. Our goal is to introduce basic concepts from deep learning in a rigorous mathematical fashion, e.g introduce mathematical definitions of deep neural networks (DNNs), loss functions, the backpropagation algorithm, etc. We attempt to identify for each concept the simplest setting that minimizes technicalities but still contains the key mathematics
URL:Inhaltsverzeichnis: http://www.gbv.de/dms/weimar/toc/1826501401_toc.pdf
 Unbekannt: https://www.degruyter.com/isbn/9783111024318
 Cover: https://www.dietmardreier.de/annot/4B56696D677C7C39363233363139387C7C434F50.jpg?sq=1
 zbMATH: https://zbmath.org/7626631
Schlagwörter:(s)Deep learning   i / (s)Maschinelles Lernen   i / (s)Künstliche Intelligenz   i / (s)Neuronales Netz   i / (s)Angewandte Mathematik   i
Sprache:eng
Bibliogr. Hinweis:Erscheint auch als : Online-Ausgabe: Berlyand, Leonid: Mathematics of deep learning. - Berlin : De Gruyter, 2023. - 1 Online-Ressource (VI, 126 Seiten)
RVK-Notation:ST 300   i
 ST 301   i
Sach-SW:COMPUTERS / Artificial Intelligence
 COMPUTERS / Programming / Algorithms
 MATHEMATICS / Applied
 Nichtlineare Wissenschaft
 Nonlinear science
K10plus-PPN:1826501401
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Mediennummer: 20219502

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