Deep Learning Theory and Applications
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.
| ISBN: | 9783031666933 |
|---|---|
| Sprache: | Englisch |
| Seitenzahl: | 367 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Fred, Ana Gusikhin, Oleg Hadjali, Allel Sansone, Carlo |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 21.08.2024 |
| Untertitel: | 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part I |
| Schlagworte: | Big Data Analytics Computer Vision Applications Convolutional Neural Networks Deep Hierarchical Networks Evolutionary Methods Generative Adversarial Networks Models and Algorithms Natural Language Understanding Recurrent Neural Network machine learning |