The goals / steps of this project are the following:
- Use the simulator to collect data of good driving behavior
- Build, a convolution neural network in Keras that predicts steering angles from images
- Train and validate the model with a training and validation set
- Test that the model successfully drives around track one without leaving the road.
http://thebotspeaks.com/Udacity-Self-Driving-Car-Nanodegree-Program-Behavioral-Cloning-Project/
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Download the Udacity car simulator
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Set up the CarND Term1 Starter Kit.
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Download the project.
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Start the simulator.
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Next, run the command
python drive.py model.h5
(be sure you've activated your Python 3 carnd-term1 environment as described in the CarND Term1 Starter Kit installation instructions!)