What does "Source Domain" mean?

Table of Contents

In machine learning, a source domain is a set of data used to train a model. This data helps the model learn patterns and make predictions. For example, if a model is being trained to recognize pictures of cats, the pictures of cats serve as the source domain.

The source domain is important because the knowledge gained from this data can be applied to new tasks or situations, known as the target domains. The challenge often comes when the target domain is different from the source domain, as it can be harder for the model to perform well.

Understanding the relationship between the source domain and the target domain is key in improving how well a model works in new situations.