The program always alerts the error of using trainNetwork (line 184) subscript out of range or 184 iThrowCNNException(e). Can anyone help？

xtrain = mat2cell(data, [3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3]);

for i = 1:25

xtrain{i}= xtrain{i}(~isnan(xtrain{i}));

xtrain{i} = reshape(xtrain{i},3,[]);

end

%%

data01 =readcell("数据提取.xlsx",Sheet="label02",NumHeaderLines=1);

data01 = data01';

ytrain =mat2cell(data01 ,[1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1]);

for i = 1:25

ytrain{i} = string(ytrain{i}) ;

ytrain{i} = rmmissing(ytrain{i});

ytrain{i} = categorical(ytrain{i});

end

%%

numFeatures = 3;

numHiddenUnits = 200;

numClasses = 6;

layers = [ ...

sequenceInputLayer(numFeatures)

lstmLayer(numHiddenUnits,'OutputMode','sequence')

fullyConnectedLayer(numClasses)

softmaxLayer

classificationLayer];

%

options = trainingOptions('adam', ...

'MaxEpochs',60, ...

'GradientThreshold',2, ...

'Verbose',0, ...

'Plots','training-progress');

%%

net = trainNetwork(xtrain,ytrain,layers,options);

Answer 1

[Aneela]

Hello @change yang,

The error you are encountering with the “trainNetwork” function is due to the mismatch between the dimensions of “xTrain” and “yTrain”.

Ensure that both “xTrain” and “yTrain” have same number of sequences before and after preprocessing:

disp(length(xTrain));
disp(length(yTrain));  

For more information on “trainNetwork”, refer to the following MathWorks documentation: https://www.mathworks.com/help/deeplearning/ref/trainnetwork.html

Also, it is recommended to use “trainnet” instead of “trainNetwork”: https://www.mathworks.com/help/deeplearning/ref/trainnet.html