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Weight Decay DLL

Weight decay is a regularization method that penalizes large weights. The weight decay penalty term causes the insignificant weights to converge to zero. This produces a network has fewer free parameters, which in theory should result in better generalization.

For more information on weight decay please see:

http://www.landfield.com/faqs/ai-faq/neural-nets/part3/section-6.html

The penalty term is entered by the user within the DLL page of the inspector for the Step component.

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