Meaning of Transfer Learning

Simple definition

Transfer Learning is a machine learning technique where a model trained on one task is reused or adapted for a different but related task.

How to use Transfer Learning in a professional context

It’s used to reduce training time and improve model performance, especially when there’s limited data for the target task.

Concrete example of Transfer Learning

A neural network trained to recognize animals in images can be adapted for a new task, like recognizing different types of plants, with less training data.