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Artificial neural networks (ANN), are composed of 'neurons' - programming constructs that mimic the properties of biological neurons. A set of weighted connections between the neurons allows information to propagate through the network to solve artificial intelligence problems without the network designer having had a model of a real system.

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Siamese Network - Sigmoid function to compute similarity score

I am referring to siamese neural networks introduced in this paper by G. Koch et al. The siamese net computes 2 embeddings, then calculates the absolute value of the L1 distance, which would be a valu …
Stefan J.'s user avatar