Aimed to be a hands-on the exercise would consist in using a vision processor to run CNN on various pictures to recognize traffic signals (Stop, Turn, Yield, etc). First we will cover basic concepts on machine learning for the algorithms to be used. After the class part is over, we will use a vision processor to run CNN to recognize between traffic signs and no traffic signs.
