Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision
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A01=D. Karthika Renuka
A01=L. Ashok Kumar
Acoustic Model
audio signal processing
Author_D. Karthika Renuka
Author_L. Ashok Kumar
Category=UYQL
Category=UYQM
Category=UYQN
computational linguistics
Convolution Layer
Convolutional Layers
Deep Learning
Deep Learning Algorithms
Deep Learning Models
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Feature Vector Length
graduate level resource
HMM.
image analysis techniques
Language Modeling
Latent Dirichlet Allocation
Machine Translation
MFCC Feature
Ml Algorithm
Ml Model
Naive Bayes
Natural Language Processing
Neural Networks
NLG.
NLP Application
Optical Character Recognition
POS Tag
Pre-trained Models
python deep learning frameworks
Recurrent Layer
Recurrent Neural Network
Rest API
Sentiment Analysis
speech and vision integration case studies
Speech Recognition
supervised learning methods
Unigram Model
Word Embeddings
Word Sense
WordNet
Product details
- ISBN 9781032391656
- Weight: 520g
- Dimensions: 156 x 234mm
- Publication Date: 22 May 2023
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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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:
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- Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing.
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- Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing.
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- Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python.
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- Gives insights into using the tools and libraries in Python for real-world applications.
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- 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.
L. Ashok Kumar, D. Karthika Renuka
