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Knjiga Tiny Machine Learning Techniques for Constrained Devices Ibrahim Ouahbi

Tiny Machine Learning Techniques for Constrained Devices

Ismail Lamaakal

Khalid El-Makkaoui

Jezik

Angleščina

Knjiga Trda

Knjiga Tiny Machine Learning Techniques for Constrained Devices Ibrahim Ouahbi

Koda Libristo: 49472139

Založba Taylor & Francis Ltd, december 2025

Tiny Machine Learning Techniques for Constrained Devices explores the cutting-edge field of TinyML,... Celoten opis

Koda Libristo: 49472139

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282 b

116.55 €

Na zalogi pri dobavitelju Odposlali bomo v 9-15 dneh

30 dni za vračilo blaga

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CIM-Aus- Und Weiterbildung Klaus-Jurgen Peschges

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El evangelio según María Magdalena CRISTINA FALLARAS

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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.

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Libristo ima največjo izbiro tujejezične literature. Zato svoje knjige kupujem tukaj.

O knjigi

Polni naslov Tiny Machine Learning Techniques for Constrained Devices

Avtor Ibrahim Ouahbi, Ismail Lamaakal, Khalid El-Makkaoui, Yassine Maleh

Jezik

Angleščina

Vezava Knjiga - Trda

Datum izida 2025

Število strani 248

EAN 9781032897523

ISBN 103289752X

Koda Libristo 49472139

Založba Taylor & Francis Ltd

Teža 503

Mere 156 x 234

Kategorije

Computing & Information Technology > Computer science > Artificial intelligence > Neural networks & fuzzy systems

Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures

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To je povsem preprosto

1 Dodajte knjigo v košarico in izberite dostavo kot darilo 2 V zameno vam bomo poslali kupon 3 Knjiga bo dostavljena na naslov obdarovanca

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