Deep Learning: Algorithms and Applications: Studies in Computational

Deep Learning: Algorithms and Applications: Studies in Computational

Deep Learning: Algorithms and Applications: Studies in Computational

Title: Deep Learning: Algorithms and Applications: Studies in Computational Intelligence
Author(s): Witold Pedrycz, Shyi-Ming Chen
Pages: 360
Publisher: Springer; 1st ed. 2020 edition (October 24, 2019)
Language: English
ISBN-10: 3030317595
ISBN-13: 978-3030317591

Description:
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 paradigm’s 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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