Category «Transfer Learning»

Transfer Learning

Transfer learningĀ or inductive transfer is a research problem in ML that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem. For example, knowledge gained while learning to recognize Tigers could apply when trying to recognize Lions. There are two major transfer learning scenarios in Neural network …