Udacity Self-Driving Car Nanodegree Project 5 -- Vehicle Detection – Becoming Human

Welcome to the "mom report" (Hi mom!); if jargon and mumbo jumbo are more your style then maybe this is what you're after, otherwise enjoy! I'm already counting the days (four, at the moment) until Term 2 begins and trying to decide the best way to sustain my momentum, starting with this here recap of Project 5 -- Vehicle Detection. The interesting thing to me about this project, in particular, was that it sort of occupied the middle ground between the first and fourth projects and the second and third projects. The first and fourth projects used old-school computer vision techniques and explicitly defined steps to produce an output (highlighting the location of lane lines), whereas the second and third projects employed deep learning's hot-ass newness (I might have to trademark that) to sort of let the program figure out the rules on its own based on a ton of examples. The goal of the Vehicle Detection project was to identify vehicles in dashcam video. While there are already deep learning implementations (e.g.