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Tiny Machine Learning Techniques for Constrained Devices
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Tiny Machine Learning Techniques for Constrained Devices
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML, enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge IoT nodes. It is a guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments.
| Medij | Knjige Hardcover Book (Knjiga s trdim hrbtom in platnicami) |
| Izdano | 29. januarja 2026 |
| ISBN13 | 9781032897523 |
| Založniki | Taylor & Francis Ltd |
| Strani | 224 |
| Dimenzije | 150 × 220 × 20 mm · 590 g |
| Jezik | Angleščina |
| Urednik | Abd El-Latif, Ahmed A. |
| Urednik | El-Makkaoui, Khalid |
| Urednik | Lamaakal, Ismail |
| Urednik | Maleh, Yassine |
| Urednik | Ouahbi, Ibrahim |