Hardware Architectures for Deep Learning - Materials, Circuits and Devices - - Books - Institution of Engineering and Technolog - 9781785617683 - April 24, 2020
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Hardware Architectures for Deep Learning - Materials, Circuits and Devices

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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 Books     Hardcover Book   (Book with hard spine and cover)
Released April 24, 2020
ISBN13 9781785617683
Publishers Institution of Engineering and Technolog
Pages 328
Dimensions 150 × 220 × 20 mm   ·   680 g
Editor Daneshtalab, Masoud (Tenured Associate Professor, Malardalen University (MDH), Sweden)
Editor Modarressi, Mehdi (Assistant Professor, University of Tehran, Department of Electrical and Computer Engineering, Iran)