What is transfer learning?

What is transfer learning?

Transfer learning or inductive transfer is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem.

For instance, knowledge gained while learning to recognize cars could apply when trying to recognize Ferraris.