Deep Learning Theory and Applications

Beschreibung

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. 

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Ana Fred

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deep hierarchical networks evolutionary methods generative adversarial networks meta-learning and deep networks models and algorithms machine learning deep metric learning methods big-data analytics deep reinforcement learning computer vision applications learning deep generative models natural language understanding graph representation learning recurrent neural network IoT and smart devices

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