Hands-On Meta Learning with Python

Applications of siamese networks

As we understood, a siamese network learns by finding similarity between two input values using identical architecture. It is one of the most commonly used few-shot learning algorithms among tasks that involve computing similarity between two entities. It is powerful and robust and serves as a solution for a low data problem.

In the first paper in which siamese networks were published (https://papers.nips.cc/paper/769-signature-verification-using-a-siamese-time-delay-neural-network.pdf), the author depicts the significance of the network for the signature verification task. The objective of the signature verification task is to identify the authenticity of the signature. So, the author trained the siamese ...