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Siamese Networks

[saɪ.əˈmiːz ˈnɛtwɜːks]
Deep Learning
Last updated: December 9, 2024

Definition

Neural networks that learn to compare two inputs and determine their similarity

Detailed Explanation

Siamese networks consist of two identical neural networks that process two different inputs and compute their similarity. They learn a similarity metric that can be used to compare new, unseen examples.

Use Cases

Face recognition, signature verification, similarity matching

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