def predictions_no_normalisation(self, *args, **kwargs):
        input = self.input_layer.output(*args, **kwargs)
        input_clipped = T.clip(input, 0, 1) # clip on both sides here, any predictions over 1.0 are going to get normalised away anyway.
        return input_clipped
Predict without normalisation. This can be used for the first few chunks to find good parameters.
dataset/ETHPy150Open benanne/kaggle-galaxies/custom.py/ConstantWeightedDivGalaxyOutputLayer.predictions_no_normalisation