Similarity learning

Similarity learning is a way of teaching a computer to recognize patterns and similarities in things. For example, if you have a bunch of pictures of cats and dogs, a computer might learn that cats and dogs have fur, tails, and four legs. By using similarity learning, the computer can identify the similarities between cats and dogs, and recognize when a new picture is either a cat or a dog.