Specifications
| Publisher | Springer; 2020th edition |
| ISBN 13 | 9783030317621 |
| ISBN 10 | 3030317625 |
| Author | Witold Pedrycz |
| Book Format | Paperback |
| Language | English |
| Book 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. |
| Publication Date | 2020-11-04 |
| Number of Pages | 360 pages |
Deep Learning: Algorithms and Applications
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