Deep Learning Applications, Volume 2

Chapter 1 Deep Learning-Based Recommender Systems

Chapter 2 A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images

Chapter 3 Three-Stream Convolutional Neural Network for Human Fall Detection

Chapter 4 Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)

Chapter 6 Training Deep Learning Sequence Models to Understand Driver Behavior

Chapter 7 Exploiting Spatio-Temporal Correlation in RF Data Using Deep Learning

Chapter 8 Human Target Detection and Localization with Radars Using Deep Learning

Chapter 9 Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data

Chapter 10 Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach

Chapter 11 Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification

Chapter 12 Non-convex Optimization Using Parameter Continuation Methods for Deep Neural Networks