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Deep Learning Architectures
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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.
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.
Additional information
| Book Format | Hardcover, Softcover |
|---|
Book information
Edition
1st Edition
ISBN [Hardcover]
9783030367206
ISBN [Softcover]
9783030367237
Publisher
Springer
Year
2020
Pages
XXX, 760 p.
Series Title
Springer Series in the Data Sciences
Language
English
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