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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
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2022. gada 13. decembris |
| ISBN13 | 9781032374239 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 250 |
| Izmēri | 260 × 185 × 22 mm · 632 g |
| Valoda | Angļu |
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