Deep Learning Applications
Overview
Trends in Deep Learning Applications.- Optimization Strategies.- Quasi-Newton Optimization Methods.- Application to Deep Reinforcement Learning.- Medical Image Segmentation using Deep Neural Networks with Pre-trained Encoders.- Enabling Robust and Autonomous Material handling in Logistics through applied Deep Learning Algorithms.- Performance metric.- Dataset creation.- Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision.- Deep Learning Framework and Architecture Selection.- Action Recognition in Videos Using Multi-Stream Convolutional Neural Networks.- Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimers disease.
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Details
- ISBN-13: 9789811518157
- ISBN-10: 9811518157
- Publisher: Springer
- Publish Date: February 2020
- Dimensions: 9.21 x 6.14 x 0.4 inches
- Shipping Weight: 0.6 pounds
- Page Count: 178
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