Song Guo, Qihua Zhou

Broschiertes Buch

Machine Learning on Commodity Tiny Devices

Theory and Practice

Beschreibung

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.

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.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 250
• Erscheinungstermin: 19. Dezember 2024
• Englisch
• Abmessung: 254mm x 178mm x 14mm
• Gewicht: 472g
• ISBN-13: 9781032374260
• ISBN-10: 1032374268
• Artikelnr.: 72106394