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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Other Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Stevenage, United Kingdom :
The Institution of Engineering and Technology,
2020.
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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) |
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. |
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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 |