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How detect by code which condition halted NN traning

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EanX
EanX el 12 de Dic. de 2013
Respondida: Greg Heath el 27 de Jun. de 2014
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.
Sergio

Respuesta aceptada

Greg Heath
Greg Heath el 27 de Jun. de 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
Greg

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