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Network outputs and error calculation

If output(s) should be categories (NN is a classifier), output(s) should be a logistic function trained by the error between output and target or a soft-max function with a cross-entropy error term should be calculated between outputs and targets

If output(s) should be real numbers (NN is performing regression), output(s) should be linear and a mean-square error term should be calculated between outputs and targets

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