Understanding Artificial Intelligence Deep Learning: From Cats to Stars

Artificial Intelligence – deep learning is a subset of machine learning. The man who coined the phrase'machine leaning', IBM developer Arthur Samuel, once described it as a "field of study that gives computers the ability to learn without being explicitly programmed." At the time he was teaching IBM's systems to play checkers… Where machine learning algorithms work well on datasets that have up to a few hundred columns, unstructured datasets like images or videos have so many features that traditional methods of training them are unfeasible. As Datarobot explains: "Deep learning algorithms learn progressively more about the image as it goes through each neural network layer. Early layers learn how to detect low-level features like edges, and subsequent layers combine features from earlier layers into a more holistic representation. For example, a middle layer might identify edges to detect parts of an object in the photo such as a leg or a branch, while a deep layer will detect the full object such as a dog or a tree."