This term is used to refer to a set of input values and the corresponding set of desired or target output values for use in training an artificial neural network. Usually, a largish number of training patterns would be used in the training of any genuinely useful neural network.
In toy problems like the XOR problem, only a few training patterns (in the case of XOR, just 4) may be used.
Patterns used for testing the trained network are referred to as test patterns.
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