Hello, i would like to know how to differentiate between Mse(training) and Mse(testing) during training phases this is my part of my ANN's code :
net.divideMode = 'sample'; % Divide up every sample
net.divideParam.trainRatio = 70/100;net.divideParam.valRatio = 20/100;net.divideParam.testRatio = 10/100; net.performFcn = 'mse'MSEt(j,H) = mse(net,targets,outputs);%mean square error
*my question is that MSE calculated is for training error or for testing error ??
Help please*
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