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Deep Learning Architectures
- A Mathematical Approach
Engelsk Hardback
Deep Learning Architectures
- A Mathematical Approach
Engelsk Hardback

811 kr
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Om denne bog
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.    
Product detaljer
Sprog:
Engelsk
Sider:
760
ISBN-13:
9783030367206
Indbinding:
Hardback
Udgave:
ISBN-10:
3030367207
Kategori:
Udg. Dato:
14 feb 2020
Længde:
45mm
Bredde:
241mm
Højde:
164mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
14 feb 2020
Forfatter(e):
Kategori sammenhænge