Siamese

A Siamese network is a type of machine learning model that consists of two identical neural networks sharing the same parameters. It processes two different inputs simultaneously to compare or measure their similarity. For example, it can determine if two images are of the same person or identify matching patterns. By learning these comparisons, Siamese networks are useful in tasks like facial recognition, signature verification, or matching items, efficiently identifying similarities or differences while leveraging shared structure for accuracy and speed.