| 书目名称 | Data Science | | 副标题 | Theory, Algorithms, | | 编辑 | Gyanendra K. Verma,Badal Soni,Alexandre C. B. Ramo | | 视频video | | | 概述 | Provides insights for researchers to minimize the research gap in machine/deep learning.Includes outbreak research on Deep Learning.Offers latest tools and techniques for multimedia data analysis.Comp | | 丛书名称 | Transactions on Computer Systems and Networks | | 图书封面 |  | | 描述 | .This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.. | | 出版日期 | Book 2021 | | 关键词 | Deep Learning; Multimedia Tools; Machine Learning; Artificial Intelligence; Image Processing; Computation | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-16-1681-5 | | isbn_softcover | 978-981-16-1683-9 | | isbn_ebook | 978-981-16-1681-5Series ISSN 2730-7484 Series E-ISSN 2730-7492 | | issn_series | 2730-7484 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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发表于 2025-3-21 19:45:38
