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" Deep learning : "
Witold Pedrycz, Shyi-Ming Chen, editors.
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BL
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| Record Number
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862960
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| Title & Author
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Deep learning : : algorithms and applications /\ Witold Pedrycz, Shyi-Ming Chen, editors.
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| Publication Statement
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Cham, Switzerland :: Springer,, [2020].
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| Series Statement
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Studies in computational intelligence,; volume 865
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| Page. NO
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1 online resource (xii, 360 pages) :: illustrations (some color).
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| ISBN
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3030317609
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: 9783030317607
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3030317595
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9783030317591
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Preface -- Chapter 1. Activation Functions -- Chapter 2. Adversarial Examples in Deep Neural Networks: An Overview -- Chapter 3. Representation Learning in Power Time Series Forecasting, etc.
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| Abstract
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This book presents a wealth of deep-learning algorithms and demonstrates their design process. It also highlights the need for a prudent alignment with the essential characteristics of the nature of learning encountered in the practical problems being tackled. Intended for readers interested in acquiring practical knowledge of analysis, design, and deployment of deep learning solutions to real-world problems, it covers a wide range of the paradigms algorithms and their applications in diverse areas including imaging, seismic tomography, smart grids, surveillance and security, and health care, among others. Featuring systematic and comprehensive discussions on the development processes, their evaluation, and relevance, the book offers insights into fundamental design strategies for algorithms of deep learning.
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| Subject
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Computer algorithms.
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Machine learning.
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| Subject
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Computer algorithms.
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Machine learning.
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| Dewey Classification
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006.3/1
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| LC Classification
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Q325.5
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| Added Entry
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Chen, Shyi-Ming
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Pedrycz, Witold,1953-
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