Utvidet returrett til 31. januar 2025

Deep Learning Applications

Om 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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  • Språk:
  • Engelsk
  • ISBN:
  • 9789811518157
  • Bindende:
  • Paperback
  • Sider:
  • 178
  • Utgitt:
  • 29. februar 2020
  • Utgave:
  • 12020
  • Dimensjoner:
  • 155x235x0 mm.
  • Vekt:
  • 454 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 20. desember 2024
Utvidet returrett til 31. januar 2025

Beskrivelse av 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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