Comments (4)
If it doesn't exist, it is calculated automatically from the training data. Please organize your data in the same way that I organized it in the example sets, and delete the mean_std_cache.p
, and re-run the code.
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@TerenceCYJ It is common practice in machine learning to do something called "input feature normalization", where the distribution of all features in the set is normalized to have mean zero and standard deviation 1. For an explanation, see here.
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Sure, thank you very much! @ranahanocka
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Hi @ranahanocka ,
Why do you use mean and std here? If it is used for normalization, why do you use the mean and std of features from all samples?
Thanks
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Related Issues (20)
- assert no zero face area
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