The ability to train models with much larger datasets than traditional methods allows us to achieve our goal more quickly- quicker turnaround time from first idea through implementation. Also, being able to use different kinds of inputs makes it so that we can create new types of algorithms without having to spend countless hours figuring out how to get input into existing frameworks (for example Tensorflow). I would like there be an easier way to visualize what each layer is doing within…