Transfer Learning

A machine learning technique where a model trained on one task is repurposed as the starting point for a model on a second, related task, leveraging previously learned representations.

Using knowledge an AI learned from one task to help with a different task. An AI that learned to recognise cats can transfer some of that knowledge to recognising dogs; it already knows about fur, ears and eyes.