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Development and Analysis of Deep Learning Architectures. 2020 ed.
・ISBN 978-3-030-31766-9 paper EUR 159.99
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★★★
| 著者・編者 | Pedrycz, Witold / Chen, Shyi-Ming (eds.), |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 292 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A03-94288＞ |
解説
This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.