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Book Synopsis
Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

Deep Learning Neural Networks: Design And Case

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A Hardback by Daniel Graupe

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    View other formats and editions of Deep Learning Neural Networks: Design And Case by Daniel Graupe

    Publisher: World Scientific Publishing Co Pte Ltd
    Publication Date: 02/08/2016
    ISBN13: 9789813146440, 978-9813146440
    ISBN10: 9813146443
    Also in:
    Neural networks and fuzzy systems

    Description

    Book Synopsis
    Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems based on a well-defined computational architecture. It has been successfully applied to a broad field of applications ranging from computer security, speech recognition, image and video recognition to industrial fault detection, medical diagnostics and finance.This comprehensive textbook is the first in the new emerging field. Numerous case studies are succinctly demonstrated in the text. It is intended for use as a one-semester graduate-level university text and as a textbook for research and development establishments in industry, medicine and financial research.

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