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Tiny Machine Learning Techniques for Constrained Devices
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.
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 29 januari 2026 |
| ISBN13 | 9781032897523 |
| Uitgevers | Taylor & Francis Ltd |
| Pagina's | 224 |
| Afmetingen | 150 × 220 × 20 mm · 590 g |
| Taal en grammatica | Engels |
| Uitgever | Abd El-Latif, Ahmed A. |
| Uitgever | El-Makkaoui, Khalid |
| Uitgever | Lamaakal, Ismail |
| Uitgever | Maleh, Yassine |
| Uitgever | Ouahbi, Ibrahim |