Development and Analysis of Deep Learning Architectures: 867

    Autor desconhecido

    Springer
    2019
    306 páginas
    10h 12m
    ISBN-13: 9783030317638

    This book offers a timely reflection on the remarkable range of algorithms and applications that have made the area of deep learning so attractive and heavily researched today. Introducing the diversity of learning mechanisms in the environment of big data, and presenting authoritative studies in fields such as sensor design, health care, autonomous driving, industrial control and wireless communication, it enables readers to gain a practical understanding of design. The book also discusses systematic design procedures, optimization techniques, and validation processes.

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