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"Neural Net normalization"
chaosbringer
Member Posts: 21 
Contributor II
Hi,
i am making a regression with a neural net. My label values have values between 0 and 1.
If i train a neural net and apply the model on some data, the prediction ranges between -1 and 1, also i have the normalization-option of the neural net operator activated.
Values smaller 0 are not valid for my mode, because 0 represents already the lowest acceptable model.
Is it ok to "cut" all values below 0 to 0?
Would it not be benfical, if this could be done somehow already during the training process, because the cut would affect the performance measurement during validation and thus affect the trained model.
I hope i could make my point clear... Thank you very much
i am making a regression with a neural net. My label values have values between 0 and 1.
If i train a neural net and apply the model on some data, the prediction ranges between -1 and 1, also i have the normalization-option of the neural net operator activated.
Values smaller 0 are not valid for my mode, because 0 represents already the lowest acceptable model.
Is it ok to "cut" all values below 0 to 0?
Would it not be benfical, if this could be done somehow already during the training process, because the cut would affect the performance measurement during validation and thus affect the trained model.
I hope i could make my point clear... Thank you very much
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Answers
Denis