Machine Learning on Commodity Tiny Devices: Theory and Practice - Tapa dura

Guo, Song; Zhou, Qihua

 
9781032374239: Machine Learning on Commodity Tiny Devices: Theory and Practice
Tapa dura
ISBN 10: 1032374233 ISBN 13: 9781032374239
Editorial: CRC Press, 2022

Sinopsis

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

Analyzing the limitations of conventional in-cloud computing would reveal that on-device learning is a promising research direction to meet the requirements of edge intelligence applications. As to the cutting-edge research of TinyML, implementing a high-efficiency learning framework and enabling system-level acceleration is one of the most fundamental issues. This book presents a comprehensive discussion of the latest research progress and provides system-level insights on designing TinyML frameworks, including neural network design, training algorithm optimization and domain-specific hardware acceleration. It identifies the main challenges when deploying TinyML tasks in the real world and guides the researchers to deploy a reliable learning system.

This book will be of interest to students and scholars in the field of edge intelligence, especially to those with sufficient professional Edge AI skills. It will also be an excellent guide for researchers to implement high-performance TinyML systems.

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Acerca del 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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Editorial
CRC Press
Año de publicación
2022
Idioma
Inglés
ISBN 10 
1032374233
ISBN 13 
9781032374239
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
250
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

Friedensallee 273
Hamburg
22763
Alemania

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

Edición Destacada

ISBN 10:  1032374268 ISBN 13:  9781032374260
Editorial: CRC Press, 2024
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