What is Transfer Learning? - Medi-AI

The reuse of a pre-trained model on a new problem is known as transfer learning in machine learning. A machine uses the knowledge learned from a prior assignment to increase prediction about a new task in transfer learning.The general idea of transfer learning is to use knowledge learned from tasks for which a lot of labeled data is available in settings where only a little labeled data is available.