Deep Learning Theory and Applications edited by Donatello Conte, Ana Fred, Oleg Gusikhin, Carlo Sansone. [electronic resource] :
Material type: TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XVII, 482 p. 196 illus., 162 illus. in color. online resourceISBN:- 9783031390593
- Application software
- Artificial intelligence
- Artificial Intelligence
- Computer and Information Systems Applications
- Computers
- Computing Milieux
- Data Mining and Knowledge Discovery
- Data mining
- Machine learning
- Machine Learning
- Natural language processing (Computer science)
- Natural Language Processing (NLP)
- 6.3
Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB2193 |
Total holds: 0
This book consitiutes the refereed proceedings of the 4th International Conference on Deep Learning Theory and Applications, DeLTA 2023, held in Rome, Italy from 13 to 14 July 2023. The 9 full papers and 22 short papers presented were thoroughly reviewed and selected from the 42 qualified submissions. The scope of the conference includes such topics as models and algorithms; machine learning; big data analytics; computer vision applications; and natural language understanding.
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