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I was wondering is there a built in way to de-normalize the data? Once I put it through the Neural Net, I want it back in it's orginal form. Do I have to go and manually de-normalize the output?
Thanks.
The text was updated successfully, but these errors were encountered:
I was looking for the same thing but the more I think about it, the issue is it's rare that a network will return an array of 1's or 0's. The results need to be interpreted on an case by case basis or at least there would need to be multiple modes, one at least that could sort the output and calculate it's "confidence" etc.
I was wondering is there a built in way to de-normalize the data? Once I put it through the Neural Net, I want it back in it's orginal form. Do I have to go and manually de-normalize the output?
Thanks.
The text was updated successfully, but these errors were encountered: