Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision (e-bog) af Renuka, D. Karthika
Renuka, D. Karthika (forfatter)

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

436,85 DKK (inkl. moms 546,06 DKK)
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 ...
E-bog 436,85 DKK
Forfattere Renuka, D. Karthika (forfatter)
Forlag CRC Press
Udgivet 22 maj 2023
Længde 226 sider
Genrer KCHS
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781000875607
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.