Tiny Machine Learning Techniques by Khalid El-Makkaoui (.ePUB)+

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File Size: 29 MB

Tiny Machine Learning Techniques for Constrained Devices by Khalid El-Makkaoui, Ismail Lamaakal, Ibrahim Ouahbi, Yassine Maleh, Ahmed A. Abd El-Latif
Requirements: .PDF/.ePUB reader, 29 mb
Overview: 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.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://rapidgator.net/file/9fcfc42b667d530e6272f6dfcb448f9d