This is probably very basic question. But I am very new to neural networks. So, I know in general mean square error (MSE) is calculated as MSE = where is the target value and is the neural network output. The "mse" function in matlab is called "mean square normalized error". So, my question is how and with what matlab is normalizing the error? Thank you.
MATLAB: How does matlab normalize the mean square error
MATLABneural networks
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