Lets say you are training a neural network to learn a function. The training set is 1000 point long and has been normalized to lie between 0.1-0.9. What is the training MSE that you would find acceptable, where MSE is calculated as (Sum_over_all_points((value_actual - value_predicted)^2 ))/total_number_points total_number_points=1000=length of trainin set thanks a lot.... PS: my current values are something like 4e-3, and that doesnt seem too good!!

A good way to test your NN is to have another set for test purposes. Once you have trained your net with trainning set, see the error with the test set.

If the errors are very different, probably you have overtrained your net, so instead of solving the problem, it has memorized all the trainning set. If you get a very small error, that´s probably what´s happening to you.

Greetings!

Vicente