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Srivastava / Khari / Arora

Concepts and Real-Time Applications of Deep Learning

Medium: Buch
ISBN: 978-3-030-76169-1
Verlag: Springer International Publishing
Erscheinungstermin: 25.09.2022
Lieferfrist: bis zu 10 Tage

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more.  The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields.

  • Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures;
  • Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies;
  • Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.


Produkteigenschaften


  • Artikelnummer: 9783030761691
  • Medium: Buch
  • ISBN: 978-3-030-76169-1
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 25.09.2022
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2021
  • Serie: EAI/Springer Innovations in Communication and Computing
  • Produktform: Kartoniert
  • Gewicht: 341 g
  • Seiten: 209
  • Format (B x H x T): 155 x 235 x 13 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Introduction.- AI Techniques based on Modern Deep Learning architectures.- Application of Deep learning in Optimization and Regression.- Deep learning in Pattern recognition.- Application of Deep Learning in Healthcare systems for diagnosing disease.- Application of Deep Learning for Security and threats.- Deep Learning Framework and Tools.- Advancements in Deep Learning.- Multidisciplinary Applications of Machine/Deep Learning.- Conclusion.