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Hardware Architectures for Deep Learning - Materials, Circuits and Devices
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
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2020年4月24日 |
| ISBN13 | 9781785617683 |
| 出版商 | Institution of Engineering and Technolog |
| 页数 | 328 |
| 商品尺寸 | 150 × 220 × 20 mm · 680 g |
| 编辑 | Daneshtalab, Masoud (Tenured Associate Professor, Malardalen University (MDH), Sweden) |
| 编辑 | Modarressi, Mehdi (Assistant Professor, University of Tehran, Department of Electrical and Computer Engineering, Iran) |
