How detect by code which condition halted NN traning

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I'm using a feedforwardnet NN and I would like to know from code which condition determined NN training stop (max validation checks reached, max epoch, performance goal, etc..). Is it possible? Thanks for your replys. Regards.

Accepted Answer

Greg Heath
Greg Heath on 27 Jun 2014
[x,t] = simplefit_dataset;
net = fitnet(10);
[net tr] = train(net,x,t);
stopcriteria = tr.stop
tr = tr
stopcriteria =
Validation stop.
tr =
trainFcn: 'trainlm'
trainParam: [1x1 struct]
performFcn: 'mse'
performParam: [1x1 struct]
derivFcn: 'defaultderiv'
divideFcn: 'dividerand'
divideMode: 'sample'
divideParam: [1x1 struct]
trainInd: [1x66 double]
valInd: [1x14 double]
testInd: [1x14 double]
stop: 'Validation stop.'
num_epochs: 16
trainMask: {[1x94 double]}
valMask: {[1x94 double]}
testMask: {[1x94 double]}
best_epoch: 10
goal: 0
states: {1x8 cell}
epoch: [1x17 double]
time: [1x17 double]
perf: [1x17 double]
vperf: [1x17 double]
tperf: [1x17 double]
mu: [1x17 double]
gradient: [1x17 double]
val_fail: [1x17 double]
best_perf: 1.3525e-04
best_vperf: 1.7348e-04
best_tperf: 5.9455e-04
Hope this helps.
Thank you for formally accepting my answer

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