Hello, everyone!
I’m having a problem regarding my college project and I would like to know how I could obtain the RMSE value at each epoch of my model’s execution, and export in a .xlsx archive.
rmseValues = zeros(numEpochs, 1);

for epoch = 1:numEpochs
[net, info] = trainNetwork(XTrain, YTrain, layers, options);
YPred = predict(net, XTrain);
rmseValues(epoch) = calculateRMSE(YTrain, YPred);
end

rmseTable = array2table(rmseValues, ‘VariableNames’, {‘RMSE’});
disp(rmseTable);
However, due to the nature of the for loop, training is performed at the same rate as the number of epochs defined. I would therefore like to know if there is a function that allows me, for example, to obtain the array of execution data.
The motivation is that I would like to use this data for another project.Hello, everyone!
I’m having a problem regarding my college project and I would like to know how I could obtain the RMSE value at each epoch of my model’s execution, and export in a .xlsx archive.
rmseValues = zeros(numEpochs, 1);

for epoch = 1:numEpochs
[net, info] = trainNetwork(XTrain, YTrain, layers, options);
YPred = predict(net, XTrain);
rmseValues(epoch) = calculateRMSE(YTrain, YPred);
end

rmseTable = array2table(rmseValues, ‘VariableNames’, {‘RMSE’});
disp(rmseTable);
However, due to the nature of the for loop, training is performed at the same rate as the number of epochs defined. I would therefore like to know if there is a function that allows me, for example, to obtain the array of execution data.
The motivation is that I would like to use this data for another project. Hello, everyone!
I’m having a problem regarding my college project and I would like to know how I could obtain the RMSE value at each epoch of my model’s execution, and export in a .xlsx archive.
rmseValues = zeros(numEpochs, 1);

for epoch = 1:numEpochs
[net, info] = trainNetwork(XTrain, YTrain, layers, options);
YPred = predict(net, XTrain);
rmseValues(epoch) = calculateRMSE(YTrain, YPred);
end

rmseTable = array2table(rmseValues, ‘VariableNames’, {‘RMSE’});
disp(rmseTable);
However, due to the nature of the for loop, training is performed at the same rate as the number of epochs defined. I would therefore like to know if there is a function that allows me, for example, to obtain the array of execution data.
The motivation is that I would like to use this data for another project. neural network, export, for MATLAB Answers — New Questions

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