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Hardware Architectures for Deep Learning - Materials, Circuits and Devices
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¥ 21.622
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発送予定日 年7月14日 - 年7月30日
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Hardware Architectures for Deep Learning - Materials, Circuits and Devices
This book discusses innovative ideas in the design, modelling, implementation, and optimization of hardware platforms for neural networks. The book provides an overview of this emerging field, from principles to applications, for researchers, postgraduate students and engineers who work on learning-based services and hardware platforms.
328 pages
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2020年4月24日 |
| ISBN13 | 9781785617683 |
| 出版社 | Institution of Engineering and Technolog |
| ページ数 | 328 |
| 寸法 | 150 × 220 × 20 mm · 680 g |
| 編集者 | Daneshtalab, Masoud (Tenured Associate Professor, Malardalen University (MDH), Sweden) |
| 編集者 | Modarressi, Mehdi (Assistant Professor, University of Tehran, Department of Electrical and Computer Engineering, Iran) |
