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Mathematical Aspects of Deep Learning.
・ISBN 978-1-316-51678-2 hard GB£ 77.00
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電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-1-009-02509-6
| 著者・編者 | Grohs, Philipp / Kutyniok, Gitta (eds.), |
|---|---|
| 出版社 | (Cambridge University Press, UK) |
| 出版年月 | 2022 |
| ページ数 | 492 pp. |
| 言語 | ENG |
| ニュース番号 | ＜M25-15977＞ |
解説
In recent years the development of new classification and regression algorithms based on deep learning has led to a revolution in the fields of artificial intelligence, machine learning, and data analysis. The development of a theoretical foundation to guarantee the success of these algorithms constitutes one of the most active and exciting research topics in applied mathematics. This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research.