Hidden Bibliographic Details
| Other authors / contributors: | Pedrycz, Witold, 1953- editor.
Chen, Shyi-Ming, editor.
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| ISBN: | 9783030317607
3030317609
9783030317591
3030317595
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| Notes: | Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed October 31, 2019).
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| Summary: | 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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| Other form: | Original 3030317595 9783030317591
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| Standard no.: | 10.1007/978-3-030-31760-7
10.1007/978-3-030-31
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