| 书目名称 | Evolutionary Deep Neural Architecture Search: Fundamentals, Methods, and Recent Advances | | 编辑 | Yanan Sun,Gary G. Yen,Mengjie Zhang | | 视频video | | | 概述 | Introduces the fundamentals and up-to-date methods of evolutionary deep neural architecture search.Provides the target readers with sufficient details learning from scratch.Inspires the students to de | | 丛书名称 | Studies in Computational Intelligence | | 图书封面 |  | | 描述 | .This book systematically narrates the fundamentals, methods, and recent advances of evolutionary deep neural architecture search chapter by chapter. This will provide the target readers with sufficient details learning from scratch. In particular, the method parts are devoted to the architecture search of unsupervised and supervised deep neural networks. The people, who would like to use deep neural networks but have no/limited expertise in manually designing the optimal deep architectures, will be the main audience. This may include the researchers who focus on developing novel evolutionary deep architecture search methods for general tasks, the students who would like to study the knowledge related to evolutionary deep neural architecture search and perform related research in the future, and the practitioners from the fields of computer vision, natural language processing, and others where the deep neural networks have been successfully and largely used in their respective fields.. | | 出版日期 | Book 2023 | | 关键词 | Computational Intelligence; Artificial Intelligence; neural architecture search; evolutionary neural ar | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-16868-0 | | isbn_softcover | 978-3-031-16870-3 | | isbn_ebook | 978-3-031-16868-0Series ISSN 1860-949X Series E-ISSN 1860-9503 | | issn_series | 1860-949X | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 18:02:41
