Contrastive Learning

Contrastive learning is a method for structuring the work of locating similarities and differences for an ML model. This method can be used to train a machine learning model to distinguish between similar and different photos.

A scoring function, which is a metric that assesses the similarity between two features, can be used to represent the inner workings of contrastive learning.
Unlabeled data points are juxtaposed against one another as part of the machine learning paradigm known as contrast...