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Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision - Couverture rigide

Kumar, L. Ashok; Renuka, D. Karthika

 
9781032391656: Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision
Couverture rigide
ISBN 10 : 1032391650 ISBN 13 : 9781032391656
Editeur : CRC Press, 2023

Synopsis

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis.

Features:

  • Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing.

  • Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing.

  • Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python.

  • Gives insights into using the tools and libraries in Python for real-world applications.

  • Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience.

This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

L. Ashok Kumar, D. Karthika Renuka

À propos de la quatrième de couverture

Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech and computer vision tasks.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
CRC Press
Date d'édition
2023
Langue
anglais
ISBN 10 
1032391650
ISBN 13 
9781032391656
Reliure
Relié
Nombre de pages
225
Coordonnées du fabricant
non disponible
Personne responsable
GPSR Kontakt
gpsr@libri.de

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