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Machine Learning on Commodity Tiny Devices: Theory and Practice

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Machine Learning on Commodity Tiny Devices: Theory and Practice - Guo, Song, and Zhou, Qihua
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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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Machine Learning on Commodity Tiny Devices: Theory and Practice 2022, CRC Press, Oxford

ISBN-13: 9781032374239

Hardcover