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"item_title" : "Deep Learning Theory and Applications",
"item_author" : [" Ana Fred", "Allel Hadjali", "Oleg Gusikhin "],
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Deep Learning Theory and Applications : 5th International Conference, Delta 2024, Dijon, France, July 10-11, 2024, Proceedings, Part II
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9783031667046
- ISBN-10: 3031667042
- Publisher: Springer
- Publish Date: August 2024
- Dimensions: 9.28 x 6.14 x 0.86 inches
- Shipping Weight: 1.31 pounds
- Page Count: 389
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