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

Snapshot

• The video recorded from autonomous driving

• The model file is stored in model.h5

• To run the model, create an enviroment with Udacity's starter kit for Self-Driving car Nano Degree

• Results are summerized in writeup.md

Highlight

• I didn't collect any new data with the simulator due to my bad driving game skill. Instead, I used computer vision method to generate new data. In particular I used perspective transformation to pertubate the camera direction for each image, and compensated the recorded steering angle accordingly. This balanced the training data, and is crucial for my model training.