While traditional supervised learning focuses on predicting labels based on input data and unsupervised learning aims to find hidden structures within data, similarity learning is somewhat in between.
While traditional supervised learning focuses on predicting labels based on input data and unsupervised learning aims to find hidden structures within data, similarity learning is somewhat in between.