We're going to use Udacity's car simulator app as an environment to create our own autonomous agent! We'll use Keras to train a convolutional neural network on images from the car's cameras as well as steering angles from human driving. Using just those 2 data points, it'll be able to drive itself on any road.
Code for this video:
https://github.com/llSourcell/How_to_simulate_a_self_driving_car
More Learning resources:
https://hackernoon.com/five-skills-self-driving-companies-need-8546d2aba7c1
http://nicolovaligi.com/reading-list-udacity-self-driving-challenge-3.html
https://www.linkedin.com/pulse/teaching-car-how-drive-using-deep-learning-muhieddine-el-kaissi
http://selfdrivingcars.mit.edu/
http://blog.davidsingleton.org/nnrccar/
https://www.coursera.org/learn/machine-learning/lecture/zYS8T/autonomous-driving
https://www.udacity.com/drive
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