neural network performance graph
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Hi,
Could you please help me?
I had created a neural network by Matlab ANN toolbox and my network obtained MSE of 0.008 . I saved the workspace containing the network and variables. Now after some months i need to see its performance graph, the mse versus the epoch for my previously trained network. What command would help me have such thing?
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Accepted Answer
Greg Heath
on 7 Feb 2013
You can also recreate the training graph if you have saved the training history tr obtained from
[net tr ]= train(net,x,t);
Type
tr = tr
for details.
Hope this helps.
Thank you for formally accepting my answer.
Greg
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More Answers (1)
Greg Heath
on 23 Jan 2013
MSE =0.008 means absolutely nothing untill it is normalized. The best normalization factor is the MSE you would obtain from a naive model with a constant output, regardless of input. The minimum MSE occurs when the constant outputs are the means of the target variables. The resulting MSE is the average biased variance
MSE00 = mean(var(target',1))
and the normalized MSE for more complex models is
NMSE = MSE/MSE00.
The only way to recreate the training graph is to have saved the initial state of the random number generator rand that created the initial weights and train all over again.
Or you could have saved the initial weights ...
Hope this helps.
Thank you for formally accepting my answer.
Greg
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