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Shared weight artificial neural network architecture. Two shared weight artificial neural networks are connected to a sigmoidal output layer with fixed weights. The output of the final network will approach 1 if the input to the left network is scored greater than the input to the right network, and 0 otherwise. As the lower level networks share weights, they compute the same scoring function.
