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Hardware Architectures for Deep Learning - Materials, Circuits and Devices
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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
| Médias | Livres Hardcover Book (Livre avec dos et couverture rigide) |
| Validé | 24 avril 2020 |
| ISBN13 | 9781785617683 |
| Éditeurs | Institution of Engineering and Technolog |
| Pages | 328 |
| Dimensions | 150 × 220 × 20 mm · 680 g |
| Éditeur | Daneshtalab, Masoud (Tenured Associate Professor, Malardalen University (MDH), Sweden) |
| Éditeur | Modarressi, Mehdi (Assistant Professor, University of Tehran, Department of Electrical and Computer Engineering, Iran) |
