How do I fix this error?
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Nikolas Katsaros
on 2 Mar 2023
Commented: Nikolas Katsaros
on 3 Mar 2023
I keep getting this error
"Incompatible input and output sequence lengths. The network must return sequences with the same length as the
input data or a sequence with length one."
when I try to run this 1D CNN:
(For reference I am trying to analyse 320 signals with 2000 time points each)
inputSize = size(xTrain());
numClasses = 2; % Cracked or not cracked
layers = [
sequenceInputLayer(time_points,'Name', 'input','MinLength', 2000)
convolution1dLayer(32,20,'Padding', 'same')
batchNormalizationLayer
reluLayer
maxPooling1dLayer(2,'Stride',2)
convolution1dLayer(64,10,'Padding', 'same')
batchNormalizationLayer
reluLayer
maxPooling1dLayer(2,'Stride',2)
fullyConnectedLayer(256)
reluLayer
dropoutLayer(0.5)
fullyConnectedLayer(numClasses)
softmaxLayer
classificationLayer];
%----------------------Define training options-----------------------------
options = trainingOptions('adam', ...
'InitialLearnRate',0.01, ...
'MaxEpochs',50, ...
'MiniBatchSize',128, ...
'Shuffle','every-epoch', ...
'ValidationData',{xTest,yTest}, ...
'ValidationFrequency',5, ...
'Verbose',false, ...
'Plots','training-progress');
% Train the network
net = trainNetwork(xTrain, yTrain, layers, options);
This is my first time using these neural networks so I have left all the layers and options in case there is an error in those. Any help would be useful.
Thank you
0 Comments
Accepted Answer
Matt J
on 2 Mar 2023
Shouldn't your input layer be,
sequenceInputLayer(inputSize,'Name', 'input','MinLength', time_points)
5 Comments
Matt J
on 2 Mar 2023
Seems like a good question. You should post it! However, if you do, you should attach an example of the training input that triggers the error, so that people can reproduce and study it.
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