Training a deep learning model to steer a car in 99 lines of code

Deep learning in 2017 is magical. We get to apply immensely complex algorithms to equally complex problems without having to spend all our time writing the algorithms ourselves. Instead, thanks to libraries like TensorFlow and Keras, we get to focus on the fun stuff: model architecture, parameter tuning and data augmentation. Today, we'll explore one such application of deep learning. We'll use the Udacity self-driving car nanodegree program simulator to train a generalized steering model in under 100 lines of code.