Deep Learning and its Applications

$160.00

Arvind Kumar Tiwari, PhD (Editor) – Associate Professor, Department of Computer Science & Engineering, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India

Series: Computer Science, Technology and Applications
BISAC: COM094000; COM044000
DOI: https://doi.org/10.52305/BLXA7086

In just the past five years, deep learning has taken the world by surprise, driving rapid progress in fields as diverse as computer vision, natural language processing, automatic speech recognition, etc. This book presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction.

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Table of Contents

Preface

Chapter 1. Application of Deep Learning in Recommendation System
(Ishwari Singh Rajput, Anand Shankar Tiwari, Arvind Kumar Tiwari – CSE Department, NIT Patna, Patna, Bihar, India, et al.)

Chapter 2. Deep Learning Based Approaches for Text Recognition
(Shalini Agrahari, Arvind Kumar Tiwari – Department of CSE, Kamla Nehru Institute of Technology, Sultanpur, India)

Chapter 3. Applications of Deep Learning in Diabetic Retinopathy Detection
(Imtiyaz Ahmad, Vibhav Prakash Singh, Suneeta Agarwal – Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, UP, India)

Chapter 4. Deep Learning Approaches for the Prediction of Breast Cancer
(Sunil Dalal, Arvind Kumar Tiwari, Jyoti Prakash Singh – Computer Science Department, National Institute of Technology Patna, Bihar, India, et al.)

Chapter 5. Deep Learning Techniques for the Prediction of Epilepsy
(Anuj Singh, Arvind Kumar Tiwari – Department of Computer Science and Engineering, Kamla Nehru Institute of Technology, Sultanpur, India)

Chapter 6. Deep Learning and Its Applications
(Palakala Sai Krishna Yadhav, K Susheel Kumar, Vibhav Prakash Singh, Nagendra Pratap Singh – NIT Hamirpur, Hamirpur, Himachal Pradesh, India, et al.)

Chapter 7. An Introduction to Sentiment Analysis using Deep Learning Techniques
(Rajnish Pandey, Jyoti Prakash Singh, Sudhakar Tripathi – NIT, Patna, Bihar, India, et al.)

Chapter 8. Deep Learning Techniques in Protein-Protein Interaction
(Bachcha Lal Pal, Arvind Kumar Tiwari, Akshay Deepak – CSE Department, NIT Patna, Patna, Bihar, India, et al.)

Chapter 9. Various Machine Learning Categories for Software Defect Prediction
(Sunil Malviya – Department of Computer Science and Engineering, Kamla Nehru Institute of Technology, Sultanpur, Uttar Pradesh, India)

Index

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