Name: Tiny Machine Learning Techniques for Constrained Devices
Price: 102100.00 CLP
Availability: InStock
Author: Ahmed A. Abd El-Latif;Yassine Maleh;Khalid El-Makkaoui;Ismail Lamaakal;Ibrahim Ouahbi
ISBN: 9781032897523

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portada Tiny Machine Learning Techniques for Constrained Devices

Tiny Machine Learning Techniques for Constrained Devices

Formato

Libro Físico

Editorial

Chapman & Hall/CRC

Autor

Ahmed A. Abd El-Latif;Yassine Maleh;Khalid El-Makkaoui;Ismail Lamaakal;Ibrahim Ouahbi

Año

2026

N° páginas

248

Encuadernación

Tapa Dura

Dimensiones

23.40 x 15.60 cm

ISBN13

9781032897523

Tiny Machine Learning Techniques for Constrained Devices

Ahmed A. Abd El-Latif;Yassine Maleh;Khalid El-Makkaoui;Ismail Lamaakal;Ibrahim Ouahbi (Autor) · Chapman & Hall/CRC · Tapa Dura

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Reseña del libro "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.