computer vision

One of the most interesting topics in the Coursera Deep Learning specialization is the “YOLO” algorithm for object detection. I often find it helpful to describe algorithms in my own words to solidify my understanding, and that is precisely what I will do here.

I am currently working through Convolutional Neural Networks, the fourth course in the Coursera specialization on Deep Learning. The first week of that course contains some hard-to-remember equations about filter sizes and padding and striding and I thought it would be helpful for me to write it out for future reference.