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This leads to blurry images but that's to be expected with only thousands of possible images. Hoping this will work for planning.
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Hey Andrej! Cool repo 👍 This is a small change that effectually computes
model(x - 0.5)invisualize.ipynb. Otherwisemodel(x) - 0.5looks like thisAfter the change we get
And since we always want to normalize (e.g. before training, validating, or visualizing), I just moved the normalization/inmapping back to the data loader.