Brian-McHugh/SDCND-P3-Behavioral_Cloning

Using a driving simulator, create a dataset of tens of thousands of images (along with the associated steering angle, throttle and speed data for each image) and use them to train a Convolution Neural Network written in Python with TensorFlow and Keras that can successfully navigate the race track in the simulator with no user interventions.

Python