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

Guo, Song; Zhou, Qihua

Hardcover

ISBN 10: 1032374233 ISBN 13: 9781032374239

Verlag: CRC Press, 2022

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.

Über diesen Titel

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.

Details zur Ausgabe

• Verlag: CRC Press
• Erscheinungsdatum: 2022
• Sprache: Englisch
• ISBN 10: 1032374233
• ISBN 13: 9781032374239
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 268
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar