Deep Learning Theory and Applications

Deep Learning Theory and Applications

  • Ana Fred
  • Carlo Sansone
  • Oleg Gusikhin
  • Kurosh Madani
Publisher:Springer NatureISBN 13: 9783031373176ISBN 10: 3031373170

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Deep Learning Theory and Applications is written by Ana Fred and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031373170 (ISBN 10) and 9783031373176 (ISBN 13).

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.