Hardware architectures for deep learning

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-...

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Bibliographic Details
Other Authors: Daneshtalab, Masoud, 1979- (Editor), Modarressi, Mehdi, (Editor)
Format: eBook
Language: English
Published: Stevenage, United Kingdom : The Institution of Engineering and Technology, 2020.
Series: Materials, circuits and devices series ; 55.
Subjects:
ISBN: 9781785617690
1785617699
1523129697
9781523129690
9781785617683
1785617680
Physical Description: 1 online resource (xix, 306 pages) : illustrations (some color)

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Summary: 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.
Bibliography: Includes bibliographical references and index (pages 297-306).
ISBN: 9781785617690
1785617699
1523129697
9781523129690
9781785617683
1785617680
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty