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Machine Learning on Commodity Tiny Devices: Theory and Practice Song Guo
Machine Learning on Commodity Tiny Devices: Theory and Practice
Song Guo
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.
256 pages
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 13, 2022 |
| ISBN13 | 9781032374239 |
| Publishers | Taylor & Francis Ltd |
| Pages | 250 |
| Dimensions | 260 × 185 × 22 mm · 632 g |
| Language | English |