Deep Learning Patterns Deep Learning Patterns
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sda:deep_learning

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Deep Learning

Deep Learning is a large and growing field. This chapter captures the use of Deep Learning in the context of Self-Driving Automation.

Synthetic Data Collection

Automated Data Collection

Behavior Cloning

Transfer Learning

Object Detection

Image Segmentation

Free Space Estimation

Object Tracking

Reinforcement Learning

End to End Training

References

https://medium.com/@tantony/training-a-neural-network-in-real-time-to-control-a-self-driving-car-9ee5654978b7#.d80gaixp0 Training a neural network in real-time to control a self-driving car

http://images.nvidia.com/content/tegra/automotive/images/2016/solutions/pdf/end-to-end-dl-using-px.pdf End to End Learning for Self-Driving Cars

https://handong1587.github.io/deep_learning/2015/10/09/dl-and-autonomous-driving.html

  • sda/deep_learning.txt
  • Last modified: 2016/12/16 13:07
  • (external edit)
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