I am training a feedforward backprop network. Each training generates a new value for the errors and the Rs. The question is, is there really an indicator one can use to stop training and at that point use that model?
Does this have what you want? Ng lays out these kinds of parameters
https://www.youtube.com/watch?v=21EiKfQYZXc
Sorry, I think the information is in his "nuts and bolt" talkd.
Thanks Jo Jordan
The video was helpful
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