Machine Learning on Commodity Tiny Devices: Theory and Practice - Hardcover

Guo, Song; Zhou, Qihua

 
9781032374239: Machine Learning on Commodity Tiny Devices: Theory and Practice

Inhaltsangabe

This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intelligence applications. It presents on-device learning techniques covering model-level neural network design, algorithm-level training optimization, and hardware-level instruction acceleration.

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Über die Autorin bzw. den Autor

Song Guo is a Full Professor leading the Edge Intelligence Lab and Research Group of Networking and Mobile Computing at the Hong Kong Polytechnic University. Professor Guo is a Fellow of the Canadian Academy of Engineering, Fellow of the IEEE, Fellow of the AAIA and Clarivate Highly Cited Researcher.

Qihua Zhou is a PhD student with the Department of Computing at the Hong Kong Polytechnic University. His research interests include distributed AI systems, large-scale parallel processing, TinyML systems and domain-specific accelerators.

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9781032374260: Machine Learning on Commodity Tiny Devices: Theory and Practice

Vorgestellte Ausgabe

ISBN 10:  1032374268 ISBN 13:  9781032374260
Verlag: CRC Press, 2024
Softcover