neural network toolbox classify(net, x) function not working
Mostrar comentarios más antiguos
matlab classify(net,x) generating undefined
overtime i run classify(net,x) on a trained neural network i get this output
<undefined>
<undefined>
<undefined>
<undefined>
my neural network is convolutional neural network that is trying to classify cancer images. Im using nfold cross validation andntrying to measure accuracy of each fold. For my second fold works fine but my first fold is generating this weird output. Im training my network 5 time for 5-fold cross validation and getting accuracy average over those 5
here is my code :
convnet11Fold1 = trainNetwork(Train1,layers,options)
save convnet11Fold1
YPred1 = predict(convnet11Fold1,nfoldTest1)
YTest1 = classify(convnet11Fold1,nfoldTest1)
TTest1 = nfoldTest1.Labels
accuracy1 = sum(YTest1 == TTest1)/numel(TTest1)
accuracyTotal(end+1)= accuracy1
totalT(end+1)= numel(TTest1)
totalY(end+1)= numel(YTest1)
convnet11Fold2 = trainNetwork(Train2,layers,options)
save convnet11Fold2
YTest2 = classify(convnet11Fold2,nfoldTest2)
TTest2 = nfoldTest2.Labels
accuracy2 = sum(YTest2 == TTest2)/numel(TTest2)
accuracyTotal(end+1)= accuracy2
totalT(end+1)= numel(TTest2)
totalY(end+1)= numel(YTest2)
2 comentarios
hung ting
el 2 de Abr. de 2018
Having the same trouble. Any suggestions?
Drew Grant
el 3 de Dic. de 2020
Having the same problem too a year and a half later... help please!
Respuestas (1)
Enrico Sanna
el 9 de Sept. de 2018
0 votos
Having same problem on saved LSTM. Please help.
Categorías
Más información sobre Deep Learning Toolbox en Centro de ayuda y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!