Transfer learning

Reusing what a model learned on one task as the starting point for another, by loading the pre-trained weights into a downstream model. It is how the knowledge from a large pre-training run is carried into a specific clinical task with limited labelled data.

Terms like this come up in real clinical scenarios across the HelloAI courses: bite-sized modules with verifiable certificates. An account takes one minute, no password needed.