The steering angles are probably automatically obtained from the script you run when manually training the toy vehicle. I presume at every frame an image is cap

The steering angles are probably automatically obtained from the script you run when manually training the toy vehicle. I presume at every frame an image is captured along with the steering angle for this image. You then create a neural net architecture that is being fed images and steering angle positions and outputs steering angle predictions. This is a regression problem that can be expressed in plain English as: "First train the neural network with a collection of images and associated steering angles. After training, if I were to give the neural network a new image it has never seen before, what steering angle would the network predict?" NVIDIA has a paper on it[1], and I blog about a similar coursework I complete as part of Udacity's self-driving car nanodegree[2] [1] https://arxiv.org/abs/1604.07316 https://arxiv.org/abs/1604.07316 [2] https://towardsdatascience.com/teaching-cars-to-drive-using-deep-learning-steering-angle-prediction-5773154608f2 https://towardsdatascience.com/teaching-cars-to-drive-using-...