| 书目名称 | Deep Learning in Data Analytics |
| 副标题 | Recent Techniques, P |
| 编辑 | Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman |
| 视频video | |
| 概述 | Provides recent advances in the fields of Deep Learning.Presents theoretical advances and its applications to real-life problems.Offers concepts and techniques of deep learning in a precise and clear |
| 丛书名称 | Studies in Big Data |
| 图书封面 |  |
| 描述 | .This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book‘s material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society..Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.. |
| 出版日期 | Book 2022 |
| 关键词 | Deep Learning; Deep Networks; Machine Learning; Computational Intelligence; Deep Learning Algorithms; Dee |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-75855-4 |
| isbn_softcover | 978-3-030-75857-8 |
| isbn_ebook | 978-3-030-75855-4Series ISSN 2197-6503 Series E-ISSN 2197-6511 |
| issn_series | 2197-6503 |
| copyright | Springer Nature Switzerland AG 2022 |
发表于 2025-3-21 18:15:18
