The normalization/re-normalization (for example, mapping the data to [-1,1] or [0,1]) is built for the training data. What does make the normalization constants work to another data set? And if the new data have large values than the training data?
MATLAB: When I generate a Matlab function of a neural network, it comes with the normalization/re-normalization constants. Will these constants affect the neural network performance on another data set? Why
neural networkneural network performancenormalization of data
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