Deep Learning Theory and Applications
Deep Learning Theory and Applications [electronic resource] :
edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani.
- 1st ed. 2023.
- Cham Springer Nature Switzerland 2023
- IX, 121 p. 49 illus., 47 illus. in color. online resource.
This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022. The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains.
9783031373176
Artificial intelligence.
Artificial Intelligence.
Computer Communication Networks.
Computer networks .
Computer science
Computer System Implementation.
Computer systems.
Mathematics of Computing.
6.3
This book constitutes the refereed post-conference proceedings of the Third International Conference on Deep Learning Theory and Applications, DeLTA 2022, held in Lisbon, Portugal, during January 17-18, 2022. The 6 full papers included in this book were carefully reviewed and selected from 36 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structured and unstructured multimodal data sources, natural language understanding and translation, and many other application domains.
9783031373176
Artificial intelligence.
Artificial Intelligence.
Computer Communication Networks.
Computer networks .
Computer science
Computer System Implementation.
Computer systems.
Mathematics of Computing.
6.3