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This code is very clean. But there is a problem, I think. When you do color preprocessing, the test data should not be normalized by their own mean and variance, instead, they should be normalized by the same way as the training data, i.e. minus the means of the training data and then divided by the std. of training data. Hope this comment helps you to form a rigorous set of codes.
The text was updated successfully, but these errors were encountered:
Hi,
This code is very clean. But there is a problem, I think. When you do color preprocessing, the test data should not be normalized by their own mean and variance, instead, they should be normalized by the same way as the training data, i.e. minus the means of the training data and then divided by the std. of training data. Hope this comment helps you to form a rigorous set of codes.
The text was updated successfully, but these errors were encountered: