Unsupervised Learning

Consider the problem of splitting photos into one of two categories: cat and dog. First, imagine you are taking a supervised approach to this problem. With a supervised learning algorithm, the agent will be given photos of various dogs and cats as well as labels for each image. The labels will either be "cat" or "dog". As the agent trains, it will learn what features distinguish dogs from cats.