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Deep Learning Applications, Volume 2

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Cover of 'Deep Learning Applications, Volume 2'

Table of Contents

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    Book Overview
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    Chapter 1 Deep Learning-Based Recommender Systems
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    Chapter 2 A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images
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    Chapter 3 Three-Stream Convolutional Neural Network for Human Fall Detection
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    Chapter 4 Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)
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    Chapter 5 Automatic Solar Panel Detection from High-Resolution Orthoimagery Using Deep Learning Segmentation Networks
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    Chapter 6 Training Deep Learning Sequence Models to Understand Driver Behavior
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    Chapter 7 Exploiting Spatio-Temporal Correlation in RF Data Using Deep Learning
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    Chapter 8 Human Target Detection and Localization with Radars Using Deep Learning
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    Chapter 9 Thresholding Strategies for Deep Learning with Highly Imbalanced Big Data
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    Chapter 10 Vehicular Localisation at High and Low Estimation Rates During GNSS Outages: A Deep Learning Approach
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    Chapter 11 Multi-Adversarial Variational Autoencoder Nets for Simultaneous Image Generation and Classification
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    Chapter 12 Non-convex Optimization Using Parameter Continuation Methods for Deep Neural Networks
Attention for Chapter 2: A Comprehensive Set of Novel Residual Blocks for Deep Learning Architectures for Diagnosis of Retinal Diseases from Optical Coherence Tomography Images
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