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

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Shilpa Sonawane
Shilpa Sonawane on 7 Jul 2021
Commented: Shilpa Sonawane on 15 Jul 2021
%% 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);

Answers (1)

Sindhu Karri
Sindhu Karri on 13 Jul 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.

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