Transfer learning A technique in machine learning (ML) in which knowledge learned from a task is re-used in order to boost performance on a related task. In other words, the re-use of a pre-trained model on a new problem. For example, for image classification, knowledge gained while learning to recognize cars could be applied when trying to recognize trucks. The general idea is to use the knowle..
