Deep Learning Theory and Applications edited by Ana Fred, Carlo Sansone, Oleg Gusikhin, Kurosh Madani. [electronic resource] :
Material type: TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: IX, 121 p. 49 illus., 47 illus. in color. online resourceISBN:- 9783031373176
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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 | EB2412 |
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.
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