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Machine Learning on Commodity Tiny Devices: Theory and Practice - Hardcoverby Song Guo (Author), Qihua Zhou (Author) 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. Author Biography Song Guo is a Full Professor leading the Edge Intelligence Lab and Research Group of Networking and Mobile
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Machine Learning on Commodity Tiny Devices: Theory and Practice - Hardcover

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

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