How to resolve this error-Invalid training data. For image, sequence-to-label, and feature classification tasks, responses must be categorical.

56 vues (au cours des 30 derniers jours)
%% Totla RGB images=55, img4training size=35x60x3x55, YL=training Labels- 55x1
load traindata1.mat;
layers = [
imageInputLayer([35 60 3])
convolution2dLayer(3,8,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,16,'Padding','same')
batchNormalizationLayer
reluLayer
maxPooling2dLayer(2,'Stride',2)
convolution2dLayer(3,32,'Padding','same')
batchNormalizationLayer
reluLayer
fullyConnectedLayer(10)
softmaxLayer
classificationLayer];
options = trainingOptions('sgdm', ...
'InitialLearnRate',0.01, ...
'MaxEpochs',4, ...
'Shuffle','every-epoch', ...
'Verbose',false, ...
'Plots','training-progress');
YL=[ones(1,28) zeros(1,27)]';
net = trainNetwork(img4training,YL,layers,options);
Error using trainNetwork (line 184)
Invalid training data. For image, sequence-to-label, and feature classification tasks, responses must be categorical.
Error in IMP1 (line 37)
net = trainNetwork(img4training,YL,layers,options);
  1 commentaire
zahoor m
zahoor m le 1 Déc 2023
Invalid training data. For image, sequence-to-label, and feature classification tasks, responses must be categorical.

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Réponses (1)

Sindhu Karri
Sindhu Karri le 13 Juil 2021
Hii,
In the trainNetwork function the response input(YL) should be an categorical array, instead it is defined as an array.
Refer to below documentation links for more information on categorical array,trainNetwork.
  3 commentaires
Olawale
Olawale le 9 Mar 2024 à 1:20
Hello Shilpa, how did you fix it as categorical?
Shilpa Sonawane
Shilpa Sonawane le 12 Mar 2024 à 2:57
Modifié(e) : Walter Roberson le 12 Mar 2024 à 3:59
Hello,
categorical command is available in Matlab. Use following link to check how to use it.

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