國立虎尾科技大學 |

Deep Learning: Algorithms and Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Deep Learning: Algorithms and Applications/ edited by Witold Pedrycz, Shyi-Ming Chen.
其他作者:	Chen, Shyi-Ming.
面頁冊數:	XII, 360 p. 171 illus., 139 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-31760-7
ISBN:	9783030317607

Deep Learning: Algorithms and Applications
Deep Learning: Algorithms and Applications[electronic resource] /edited by Witold Pedrycz, Shyi-Ming Chen. - 1st ed. 2020. - XII, 360 p. 171 illus., 139 illus. in color.online resource. - Studies in Computational Intelligence,8651860-949X ;. - Studies in Computational Intelligence,564.

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.

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.

ISBN: 9783030317607

Standard No.: 10.1007/978-3-030-31760-7doiSubjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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