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

Techniques and Use Cases
1. Auflage 2025
ISBN: 978-1-032-39166-3
Verlag: Taylor & Francis Ltd

Buch, Englisch, 246 Seiten, Format (B × H): 233 mm x 156 mm, Gewicht: 372 g

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Renuka, D. Karthika

Kumar, L. Ashok

Fachgebiete

• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftsstatistik, Demographie
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

1 Introduction 2 Natural Language Processing 3 State-of-the-Art Natural Language 4 Applications of Natural Language Processing Fundamentals of Speech Recognition 6 Deep Learning Models for Speech Recognition 7 End-to-End Speech Recognition Models 8 Computer Vision Basics 9 Deep Learning Models for Computer Vision 10 Applications of Computer Vision

Über Autor(innen)

L. Ashok Kumar, D. Karthika Renuka