What is transfer learning in deep learning, and why is it so valuable for practical applications? When and how would you apply transfer learning to a new problem?

Sample answer preview

Transfer learning leverages knowledge learned from one task to improve performance on a different but related task. In deep learning, this typically means using neural networks pretrained on large datasets as starting points for new problems, rather than training from scratch.