Deep learning is described as a method for learning hierarchical representations through a composition of functions, primarily utilizing linear algebra. Elixir enhances this process by providing a functional programming approach that simplifies complex mathematics, along with the benefits of scalability and fault tolerance from its underlying architecture. The discussion also touches on the necessity of deep learning over traditional machine learning techniques.
