| 书目名称 | Deep Learning: Algorithms and Applications |
| 编辑 | Witold Pedrycz,Shyi-Ming Chen |
| 视频video | |
| 概述 | Provides a comprehensive and up-to-date overview of deep learning by discussing a range of methodological and algorithmic issues.Addresses implementations and case studies, identifying the best design |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2020 |
| 关键词 | Computational Intelligence; Machine Learning; Computer Vision; Natural Language Processing; Deep Learnin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-31760-7 |
| isbn_softcover | 978-3-030-31762-1 |
| isbn_ebook | 978-3-030-31760-7Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 17:43:34
