is the appropriate value to stop training.1 The performance
plot shows the value of the function, in terms of training,
validation, and test behaviors, versus the iteration number.
The best validation performance, based on the mean square
error, was 14819 at epoch 0.
Since the validation and test curves are very similar, therefore
no major problems or over-fitting occurred with the training.