AI GLOSSARY

Transfer Learning

Transfer learning is a machine learning technique where a pre-trained model is adapted to perform a different but related task. Instead of training a model from scratch, transfer learning leverages the knowledge gained from solving one problem and applies it to another, often reducing the amount of data and computational resources needed. This approach is particularly effective when data for the new task is limited, enabling quicker and more efficient model development.