A neural network is a type of software that gets built by being trained over and over with lots of data. Once it’s been trained, it can recognize faces, predict chess moves, or recommend your next Netflix movie. Also known as a “model,” a neural network is often made up of many different layers and nodes that process information in a vaguely similar way to our brain’s neurons. The more the model is trained, the better those nodes get at predicting or recognizing things.
