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Machine Learning on Commodity Tiny Devices: Theory and Practice Song Guo
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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.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2024. gada 19. decembris |
| ISBN13 | 9781032374260 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 250 |
| Izmēri | 150 × 220 × 10 mm · 453 g |
| Valoda | Angļu |
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Rādīt visu![Cover for Song Guo · Ad-hoc, Mobile, and Wireless Networks: 13th International Conference, ADHOC-NOW 2014, Benidorm, Spain, June 22-27, 2014 Proceedings - Lecture Notes in Computer Science (Paperback Book) [2014 edition] (2014)](https://imusic.b-cdn.net/images/item/original/245/9783319074245.jpg?song-guo-2014-ad-hoc-mobile-and-wireless-networks-13th-international-conference-adhoc-now-2014-benidorm-spain-june-22-27-2014-proceedings-lecture-notes-in-computer-science-paperback-book&class=scaled&v=1421872466)
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