Deep Learning: Algorithms and Applications (Studies in Computational Intelligence)

Pedrycz

ISBN 10: 3030317595 / ISBN 13: 9783030317591

Published by Springer, 2019

About this Item

372 pages. 9.25x6.10x1.02 inches. In Stock. Seller Inventory # x-3030317595

Bibliographic Details

Title: Deep Learning: Algorithms and Applications (...

Publisher: Springer

Publication Date: 2019

Binding: Hardcover

Condition: Brand New

About this title

Synopsis:

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.