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Machine Learning on Commodity Tiny Devices

Language EnglishEnglish
Book Hardback
Book Machine Learning on Commodity Tiny Devices Qihua Zhou
Libristo code: 39515415
Publishers Taylor & Francis Ltd, December 2022
This book aims at the tiny machine learning (TinyML) software and hardware synergy for edge intellig... Full description
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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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About the book

Full name Machine Learning on Commodity Tiny Devices
Author Qihua Zhou
Language English
Binding Book - Hardback
Date of issue 2022
Number of pages 250
EAN 9781032374239
ISBN 1032374233
Libristo code 39515415
Publishers Taylor & Francis Ltd
Weight 632
Dimensions 260 x 185 x 22

Categories

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering
Computing & Information Technology > Computer science > Artificial intelligence > Neural networks & fuzzy systems
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Technology, Engineering, Agriculture > Environmental science, engineering & technology
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