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I stumbled upon this codebase just now and reimplemented the main class here (to clear up questions about variable names and remove a lot of copy/paste in the layers. https://gist.github.com/benearnthof/6839a96a740548579a7a278cd035d622 @jmandivarapu1
To me it looks like the images were not normalized before training, I've added that to my CelebA dataset class and over the firest 5 training epochs the loss seems to steadily decrease so far. (Average loss during 5th Epoch: 1.22) I'll report back tomorrow with samples after 50+ epochs
Edit: I noticed that we optimize Binary Cross Entropy for some reason which seemed not Ideal so I swapped it for MSEloss and now my reconstructions look like this:
After 20 Epochs. Input vs Reconstructions. I'll update my gist tomorrow.
Hi,
I tried running your code but even after 40 to 50 epochs my reconstructions are like below. Can you help?
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