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waveone minimal impl
I was going through the paper and they are training logistic regression model on the code itself, not on the output of the Generator. But, in your lr code, you are training logistics regression model on the generator output. Can you explain the reason, why?
While training the model, are you converting the image in some range value or directly using the value from (0, 255)?
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