Deep Learning Applications

By: M. Arif Wani (Editor), Moamar Sayed-Mouchaweh (Editor), Mehmed Kantardzic (Editor)

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Paperback | 29 February 2020

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190 Pages

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23.5 x 15.5 x 1.02

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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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