Deep Learning Architectures

Ovidiu Calin

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Language: English

Published by Springer, Springer Feb 2021, 2021

3030367231 / 9783030367237

Series: Book 4 of 11 - Springer Series in the Data Sciences

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This item is printed on demand - Print on Demand Titel. 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 792 pp. Englisch.

Seller Inventory # 9783030367237

Title
Deep Learning Architectures
Author
Ovidiu Calin
Publisher
Springer, Springer Feb 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3030367231
ISBN 13
9783030367237
Item weight
1,460 grams
Dimensions
254x178x43 mm
Series
Book 4 of 11: Springer Series in the Data Sciences

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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