深層学習アーキテクチャ：数学的アプローチ（テキスト）
Deep Learning Architectures
A Mathematical Approach
Springer Series in the Data Sciences
Calin, Ovidiu
- 出版社：Springer
- 出版年月：2020年 02月
- ISBN：9783030367206
- 装丁：HRD
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装丁について
- 言語：ENG
- 巻数・ページ数：740 p.
- DDC分類：511
- 内容紹介：
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New in paperback. Hardcover was published in 2020. 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.