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