Ovidiu Calin Deep Learning Architectures (Hardback)

Further Details

Title: Deep Learning Architectures
Condition: New
Description:

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.

 

 

Author: Ovidiu Calin
EAN: 9783030367206
Edition: 1st ed. 2020
ISBN: 9783030367206
Publisher: Springer Nature Switzerland AG
Format: Hardback
Language: English
Country/Region of Manufacture: CH
Item Height: 254mm
Genre: Computing & Internet
Subtitle: A Mathematical Approach
Release Date: 02/14/2020
Item Length: 178mm
Series: Springer Series in the Data Sciences
Release Year: 2020

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