How to increase feed-forward NN training performance?
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Hello,
General info about the system:
Epoch: 2000
Hidden Layer: 300
Training Function: trainbr
Input size: 3*17490
Output size: 1*17490
(Actually values are aound 150K but right now I'm using a filters)
1-) When the training should stop according the parameters?
2-)I've tried many training and all stopped at the end of epoch number. Is it ok to stop at the end of epoch value?
3-)What the importance of performance value? According to performance value point, which values can be acceptable? I mean is there any acceptable range?
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1300105/image.png)
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1300110/image.png)
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