Siamesenätverk
Siamesenätverk, sometimes referred to as Siamese networks, are a class of neural networks used in machine learning for tasks involving comparison. Their primary purpose is to determine the similarity or dissimilarity between two input samples. This is achieved by processing each input through identical (or very similar) neural network pathways, called twin networks.
The core idea behind a Siamese network is that if two inputs are similar, their processed representations
Siamese networks have found applications in various fields. In facial recognition, they can determine if two