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15.11. Signal Strength in Trained Networks

Applies to: NeuralTools, all releases

Neural networks "learn" by modifying the signal strength among neurons. "Threshold" or "activation" mathematical functions serve the purpose of measuring and adjusting signal strength. Do these functions within NeuralTools produce continuous values (say between 0 and 1), or are the values limited to 0 or 1 in an "all or nothing" situation?

Continuous values. For the purposes of classification, they're continuous values under the hood, but result displayed to the user is the predicted category, say "timely payments" or "late payments" with regard to a loan applicant.

Last edited: 2015-09-03

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