This is a project with Udacity's Self-Driving Car Nanodegree. The aim is to use deep learning approach[1] to clone the behaviour of a car in the simulator made by Udacity. To get a good data set, I have to "drive" well in the simulator, and use this dataset to train the model. I learned a good amount of hands-on experience of deep learning, especially the impact of the dataset quality on the trained results. The source code and detailed docuementation is here
[1] Bojarski, M., Testa, D., Dworakowski, D., Firner, B., Flepp, B., Goyal, P., Jackel, L., Monfort, M., Muller, U., Zhang, J., Zhang, X., Zhao, J., Zieba, K. (2016). End to End Learning for Self-Driving Cars arXiv https://arxiv.org/abs/1604.07316.