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Deep Learning Applications

About Deep Learning Applications

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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  • Language:
  • English
  • ISBN:
  • 9789811518157
  • Binding:
  • Paperback
  • Pages:
  • 178
  • Published:
  • February 28, 2020
  • Edition:
  • 12020
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 454 g.
Delivery: 1-2 weeks
Expected delivery: December 12, 2024
Extended return policy to January 30, 2025

Description of Deep Learning Applications

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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