DL is a specific subfield of ML.DL is a multistage way to learn data representations.A new take on learning representations from data that puts an emphasis on learning successive layers of increasingly meaningful representations.Modern DL often involves tens or even hundreds of successive layers of representations, and they're all learned automatically from exposure to training data.In DL, these layered representations are learned via models called neural networks.