Tiwari A.K. Deep Learning and Its Applications

Nova Science Publishers, 2021. — 222 p.List of Reviewers
Application of Deep Learning in Recommendation System
AbstractBackground and Terminologies
Recommendation System
Deep Learning Techniques
Autoencoder
Recurrent Neural Network
Convolution Neural Network
Restricted Boltzmann Machine
Application of Deep Learning in Recommendation System
Collaborative Filtering Recommendation Systems Based on Deep Neural Networks
Collaborative Filtering Method Based on Generative Adversarial Network
Recurrent Neural Network Based Collaborative Filtering Method
Collaborative Filtering Method Based on Autoencoders
Collaborative Filtering Method Based on Restricted Boltzmann Machine
Content-Based Recommendation Systems Based on Deep Neural Networks
Hybrid Recommendation System Based on Deep Neural Networks
Social Network-Based Recommendation System Using Deep Neural Networks
Context-Aware Recommendation Systems Based on Deep Neural Networks
ApplicationsDeep Learning-Based Approaches for Text Recognition
AbstractPreprocessing
Segmentation
Feature Extraction
Classification
Post-Processing
Deep Learning Approaches for Text Recognition
Convolutional Neural Network (CNN)
Recurrent Neural Network (RNN)
Long Short Term Memory (LSTM)
Summarized Table for Literature ReviewApplications of Deep Learning in Diabetic Retinopathy Detection
AbstractDeep Learning in the Detection of Diabetic Retinopathy
Diabetic Retinopathy (DR)
Severity Levels of DR
Metrics for Evaluation
Databases Available
Process of Detection of DR Using Deep Learning
DR Screening Systems
Binary Classification
Multi-Level Classification
Lesion Based Classification
Vessel Based ClassificationDeep Learning Approaches for the Prediction of Breast Cancer
AbstractRelated Work
Feature Extraction Techniques
Deep Learning Techniques
Convolutional Neural Networks (CNNs)
Artificial Neural Networks (ANNs)
Support Vector Machines (SVMs)
Deep CNNDeep Learning Techniques for the Prediction of Epilepsy
AbstractArtificial Intelligence
Machine Learning
Deep Learning
Deep Learning Models
Convolutional Neural Network
Recurrent Neural Network
Long Short Term Memory
Generative Adversarial Network
Epileptic Seizures
Electroencephalogram (EEG)
Application of Electroencephalogram (EEG)
Epilepsy Symptoms
Related Work
Feature Selection
Methodology
Performance Evaluation
Confusion Matrix
Evaluation Parameters
Accuracy
Precision
Recall
F-Measure
Specificity
Result AnalysisDeep Learning and Its Applications
Abstract
An Introduction to Sentiment Analysis Using Deep Learning Techniques
AbstractEmbeddings
Sentiment Classification at the Sentence Level
Convolutional Neural Networks for Textual Dataset
Recurrent Neural Networks for Textual Dataset
Recursive Neural Networks for Textual Dataset
Sentiment Analysis at the Document Level
Sentiment Analysis on a Finer Scale
Opinion Mining
Sentiment Analysis with a Purpose
Sentiment Analysis at the Aspect Level
Stance Detection for the Textual Dataset
Sarcasm IdentificationDeep Learning Techniques in Protein-Protein Interaction
AbstractProtein
Protein-Protein Interaction
Types of Protein-Protein Interaction
Homo-Oligomers
Hetero-Oligomers
Stable
Transient
Covalent
Non-Covalent
Methodologies Used in Protein-Protein Interaction
Deep Learning
Approaches of Deep Learning
Supervised Learning
Unsupervised Learning
Hybrid Learning
Reinforcement Learning
Deep Learning Technique
Stochastic Gradient Descent
Batch Normalization
Back Propagation
Max-Pooling
Dropout
Transfer Learning
Skip-Gram
Neural Network
Convolutional Neural Networks
Recurrent Neural Network
Long Short Term Memory Networks: (LSTMs)
Challenges and Issues
ApplicationVarious Machine Learning Techniques for Software Defect Prediction
AbstractSoftware Defect
Types of Software Defects
Software Defect Prediction
Brief History of Software Defect Prediction Studies
Defect/Bug Life Cycle
Different Categories of Machine Learning
Supervised Learning
Unsupervised Learning
Semi-Supervised Learning
Reinforcement Learning
Software Defect Prediction Approaches
Within-Project Defect Prediction
Cross-Project Defect Prediction
Just-in-Time Defect Prediction
Performance Evaluation of SoDP
False Positive Rate
Accuracy
Precision
Recall/True Positive Rate
F-Measure/Score
The area under the Curve (AUC)
Receiver Operating Characteristic (ROC)
Case 1
Case 2
Case 3
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