Help ME ! Error in feature input layer in CNN, Number of observations in X and Y disagree

2 vues (au cours des 30 derniers jours)
I am trying to use a deep neural network in Matlab. However, I get the error:
Number of observations in X and Y disagree.
Below is my current implementation:
[inputs, targets] = load_data();
inputs = inputs'; % size : 18000*10
targets = targets'; % size : 18000*5
randDataNum = 0.15*18000;
%% Validation Data
idx_val = randperm(size(inputs,1),randDataNum);
xVal = inputs(idx_val,:);
inputs(idx_val,:) = [];
yVal = targets(idx_val,:);
targets(idx_val,:) = [];
%% Test Data
idx_test = randperm(size(inputs,1),randDataNum);
xTest = inputs(idx_test,:);
inputs(idx_test,:) = [];
yTest = targets(idx_test,:);
targets(idx_test,:) = [];
%% Define Network Architecture
% Define the convolutional neural network architecture.
layers = [
featureInputLayer(10,'Name','inputs')
fullyConnectedLayer(30) % 384 refers to number of neurons in next FC hidden layer
batchNormalizationLayer
reluLayer
fullyConnectedLayer(30) % 384 refers to number of neurons in next FC hidden layer
reluLayer
fullyConnectedLayer(5) % 2 refers to number of neurons in next output layer (number of output classes)
regressionLayer];
options = trainingOptions('adam',...
'InitialLearnRate', 0.0001, ...
'MiniBatchSize',16, ...
'Shuffle','every-epoch', ...
'MaxEpochs',500, ...
'Verbose',false,...
'Plots','training-progress',...
'ValidationData',{xVal,yVal'});
net = trainNetwork(inputs,targets,layers,options);
how can i fix this error ?
I am using MATLAB 2021b
  1 commentaire
Fahad Abdul Wahid
Fahad Abdul Wahid le 5 Août 2022
I've some doubts regarding your function. I'm learning deep learning and wanted to know in the below function
featureInputLayer(10,'Name','inputs') - what does 10 signify?
fullyConnectedLayer(30) what does 30 signify?
fullyConnectedLayer(5) what does 5 signify?
why is there two fully connected layer? What happens when you have only 1 fully connected layer?

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Réponse acceptée

Cris LaPierre
Cris LaPierre le 25 Juin 2022
Modifié(e) : Cris LaPierre le 29 Juin 2022
I see the error in this line:
'ValidationData',{xVal,yVal'});
% ^
You are transposing yVal. Assuming your input and target variables are the size you say, this is unnecessary, and causing your number of observations to disagree. Remove the apostraphe, and it should run.
  3 commentaires
nagihan yagmur
nagihan yagmur le 17 Mar 2023
What is the content of the target data? I am also facing a problem. the target of my dataset consists of 5 different classes. Is yours like this too? can you help me
Cris LaPierre
Cris LaPierre le 17 Mar 2023
@nagihan yagmur please share the same information as the OP so we can help you. Also, if you create a new question, it will get more eyes on it, as this one has an accepted answer.

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Plus de réponses (2)

Sulaymon Eshkabilov
Sulaymon Eshkabilov le 25 Juin 2022
As I see in your code the X and Y have mismacthed sizes:
inputs = inputs'; % size : 18000*10
targets = targets'; % size : 18000*5
Make sure that they have the same size when you feed them in trainNetwork().
  1 commentaire
Sulaymon Eshkabilov
Sulaymon Eshkabilov le 25 Juin 2022
Another point is a proper use of size() command, while selecting some data for validation and testing using random number generator, i.e., randperm().

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Arman Ali
Arman Ali le 17 Avr 2023
@Amir Hossein Asadian can you contact me at arman.ncepu@gmail.com , need your help. Thank you

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