What is validation failure Artificial neural network ?

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while using nntraintool the training stops when no of validation failures reach certain prescribed number. What exactly is this Validation failure? Also, what is the term like Mu stands for?

Accepted Answer

Greg Heath
Greg Heath on 15 Jun 2016
To prevent the net from performing poorly on nontraining (validation, test and unseen data) while learning well on training data, training stops if the validation performance degrades for 6 (default) consecutive epochs. The procedure is called
VALIDATION STOPPING.
Hope this helps.
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Greg
  2 Comments
Greg Heath
Greg Heath on 16 Jun 2016
Mu is the momentum constant. To see how it's used lookup the explanation of the Levenberg-Marquardt algorithm.

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