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Deep Learning Applications

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Cover of 'Deep Learning Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Trends in Deep Learning Applications
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    Chapter 2 Quasi-Newton Optimization Methods for Deep Learning Applications
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    Chapter 3 Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders
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    Chapter 4 Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
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    Chapter 5 Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision
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    Chapter 6 Action Recognition in Videos Using Multi-stream Convolutional Neural Networks
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    Chapter 7 Deep Active Learning for Image Regression
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    Chapter 8 Deep Learning Based Hazard Label Object Detection for Lithium-ion Batteries Using Synthetic and Real Data
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    Chapter 9 Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning Algorithms
Attention for Chapter 4: Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease
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