Matching networks are yet another simple and efficient one-shot learning algorithm published by Google's DeepMind team. It can even produce labels for the unobserved class in the dataset.
Let's say we have a support set, S, containing K examples as . When given a query point (a new unseen example), , the matching network predicts the class of by comparing it with the support set.
We can define this as , where is the parameterized ...