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Tinyml revolutionizing embedded intelligent (2 resultados)

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  • Idioma: Inglés

    Editorial: Wiley-IEEE Press, 2026

    1394351372 / 9781394351374

    • Tapa dura

    Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 156,29

    Envío por EUR 2,68 
    Se envía dentro de Estados Unidos de America

    Cantidad disponible: Más de 20 disponibles

    Condición: New.

  • Idioma: Inglés

    Editorial: John Wiley & Sons Inc Feb 2027, 2027

    1394351372 / 9781394351374

    • Tapa dura

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

    Vendedor de 5 estrellas
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    Condición: Nuevo

    EUR 195,02

    Envío por EUR 35,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 2 disponibles

    Buch. Condición: Neu. Neuware - A contemporary discussion of real-world TinyML development In TinyML: Revolutionizing Embedded AI for Intelligent Devices, a team of distinguished researchers delivers an expert, up-to-date discussion of the practical applications of TinyML. The authors explain how to develop smart systems that learn and make decisions at the place of action on tiny, low-power devices. Readers will learn how to create systems that act without access to high-speed internet connectivity. Beginning with explanations of the fundamentals of TinyML, the hardware it runs on, and how to collect and prepare the data required to run applications, the book goes on to discuss neural networks, model training, and the wide array of real-world applications and examples of the technologies. Readers will also discover: - A thorough introduction to the data privacy and security problems inherent in TinyML development - Comprehensive explorations of the hands-on techniques required to develop TinyML applications - Practical discussions of the hardware and software ecosystems in which TinyML development occurs - Complete treatments of clustering, neural network architectures, and likely future developments in those areas Perfect for data scientists and machine learning engineers, TinyML will also benefit embedded systems engineers, IoT developers, and students of computer science, electrical engineering, and robotics.…