| El-Makkaoui K. Tiny Machine Learning Techniques for Constrained Devices 2026.pdf | 22.88 MB |
Textbook in PDF format
Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of Tiny Machine Learning (TinyML), enabling intelligent machine learning on highly resource-limited devices such as microcontrollers and edge Internet of Things (IoT) nodes. This book provides a comprehensive guide to designing, optimizing, securing, and applying TinyML models in real-world constrained environments
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