Which of the following statements about deep learning are correct?
A.
Deep learning is a subset of machine learning, one that brings AI closer to the goal of enabling machines to think & work as human as possible. It is about learning multiple levels of representation & abstraction that help to make sense of data such as images, sound, & text. It allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
B.
It is about learning multiple levels of representation & abstraction that help to make sense of data such as images, sound, & text. It allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction.
C.
These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection, & many other domains such as drug discovery & genomics.
D.
Deep learning discovers intricate structure in large data sets by using the back-propagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer.