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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