Deep Learning Theory and Applications: 5th International Conference, Delta 2024, Dijon, France, July 10-11, 2024, Proceedings, Part II
Fred, Ana, Hadjali, Allel, Gusikhin, Oleg
- 出版商: Springer
- 出版日期: 2024-08-21
- 售價: $3,190
- 貴賓價: 9.5 折 $3,031
- 語言: 英文
- 頁數: 389
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031667042
- ISBN-13: 9783031667046
-
相關分類:
DeepLearning
海外代購書籍(需單獨結帳)
相關主題
商品描述
The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024.
The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc.
商品描述(中文翻譯)
這兩卷的 CCIS 2171 和 2172 收錄了第五屆國際深度學習理論與應用會議（DeLTA 2024）的審稿論文，該會議於 2024 年 7 月 10 日至 11 日在法國第戎舉行。
這些會議錄中包含的 44 篇論文是從總共 70 篇投稿中仔細審核和選出的。這些論文聚焦於深度學習與大數據分析、機器學習與人工智慧等主題。
