Hardware Architectures for Deep Learning - Materials, Circuits and Devices - - Bøger - 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

Medie Bøger     Hardcover bog   (Bog med hård ryg og stift omslag)
Udgivet 24. april 2020
ISBN13 9781785617683
Forlag Institution of Engineering and Technolog
Antal sider 328
Mål 680 g
Klipper/redaktør Daneshtalab, Masoud (Tenured Associate Professor, Malardalen University (MDH), Sweden)
Klipper/redaktør Modarressi, Mehdi (Assistant Professor, University of Tehran, Department of Electrical and Computer Engineering, Iran)