Deep Learning Theory and Applications First International Conference, DeLTA 2020, Virtual Event, July 8-10, 2020, and Second International Conference, DeLTA 2021, Virtual Event, July 7–9, 2021, Revised Selected Papers /
This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7–9, 2021. The 7 full papers in...
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| Yhteisötekijä: | |
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| Muut tekijät: | , , |
| Aineistotyyppi: | Elektroninen E-kirja |
| Kieli: | englanti |
| Julkaistu: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Painos: | 1st ed. 2023. |
| Sarja: | Communications in Computer and Information Science,
1854 |
| Aiheet: | |
| Linkit: | https://doi.org/10.1007/978-3-031-37320-6 |
| Tagit: |
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| Yhteenveto: | This book constitutes the refereed post-proceedings of the First International Conference and Second International Conference on Deep Learning Theory and Applications, DeLTA 2020 and DeLTA 2021, was held virtually due to the COVID-19 crisis on July 8-10, 2020 and July 7–9, 2021. The 7 full papers included in this book were carefully reviewed and selected from 58 submissions. They present recent research on machine learning and artificial intelligence in real-world applications such as computer vision, information retrieval and summarization from structuredand unstructured multimodal data sources, natural language understanding andtranslation, and many other application domains. |
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| Ulkoasu: | 1 online resource (XI, 151 p. 71 illus.). 51 illus. in color. |
| ISBN: | 9783031373206 |
| ISSN: | 1865-0937 ; |
| DOI: | 10.1007/978-3-031-37320-6 |