Deep Learning Theory and Applications

Beschreibung

The two-volume set CCIS 2171 and 2172 constitutes the refereed best 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

Themen in »Deep Learning Theory and Applications«

Models and Algorithms machine learning Big Data Analytics Computer Vision Applications Natural Language Understanding Recurrent Neural Network Convolutional Neural Networks Deep Hierarchical Networks Evolutionary Methods Generative Adversarial Networks Meta-Learning and Deep Networks Deep Metric Learning Methods Deep Reinforcement Learning Learning Deep Generative Models Graph Representation Learning

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