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Deep Learning Architectures

A Mathematical Approach

Language EnglishEnglish
Book Hardback
Book Deep Learning Architectures Ovidiu Calin
Libristo code: 25137319
Publishers Springer Nature Switzerland AG, February 2020
This book describes how neural networks operate from the mathematical point of view. As a result, ne... Full description
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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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About the book

Full name Deep Learning Architectures
Author Ovidiu Calin
Language English
Binding Book - Hardback
Date of issue 2020
Number of pages 760
EAN 9783030367206
Libristo code 25137319
Publishers Springer Nature Switzerland AG
Weight 1748
Dimensions 241 x 164 x 45

Categories

Mathematics & Science > Mathematics > Applied mathematics > Mathematical modelling
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