Hardware Architectures for Deep Learning - Materials, Circuits and Devices - - Bøker - Institution of Engineering and Technolog - 9781785617683 - 24. april 2020
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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

Media Bøker     Innbunden bok   (Bok med hard rygg og stivt omslag)
Utgitt 24. april 2020
ISBN13 9781785617683
Utgivere Institution of Engineering and Technolog
Antall sider 328
Mål 680 g
Redaktør Daneshtalab, Masoud (Tenured Associate Professor, Malardalen University (MDH), Sweden)
Redaktør Modarressi, Mehdi (Assistant Professor, University of Tehran, Department of Electrical and Computer Engineering, Iran)