Deep Learning: Algorithms and Applications

ISBN 10: 3030317625 / ISBN 13: 9783030317621

Published by Springer, 2020

About this Item

Print on Demand pp. XII, 360 171 illus., 139 illus. in color. Seller Inventory # 379345783

Bibliographic Details

Title: Deep Learning: Algorithms and Applications

Publisher: Springer

Publication Date: 2020

Binding: Soft cover

Condition: 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.