Meaning of Transfer Learning

Simple definition

Transfer Learning is a technique where a pre-trained model is used on a new, but similar problem, saving time and resources during training.

How to use Transfer Learning in a professional context

Transfer learning is used in areas like image recognition, where a model trained on one dataset can be adapted to another with fewer examples.

Concrete example of Transfer Learning

A model trained to recognize cats and dogs can be fine-tuned to recognize other animals with fewer labeled images.