what is the difference between trainlm and trainbr?
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hello matlab community, what is the difference between the Levenberg-Marquardt backpropagation (trainlm) and Bayesian Regularization (trainbr)??? Can anyone explain these two functions and the difference. Thank you for your help. :)
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Greg Heath
am 5 Dez. 2018
One minimizes mean square error
The other minimizes a weighted sum of squared errors and squared weights
The latter is typically used to prevent overtraining an overfit net without using a validation subset.
Therefore it is most useful for small datasets to keep the training subset as large as feasible.
Hope this helps.
Thank you for formally accepting my answer
Greg
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