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Is the discriminator of a GAN network embedded in VAE?

To train a GAN you need only 2 networks, the generator and discriminator, none of which require to be an encoder. You also don't require synthetic data, those are generated by the generator network, ...
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Datasets input at model.fit produce unexpected results of training loss vs validation loss

Solved it. It was a bug in my code after all. preprocess_dataset function divide the data by 255 and I used the same for both the training dataset which was coming from a directory (0-255 range) and ...
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VAE giving near zero output when latent space dimension is large

Old question but hopefully OP is still active. I also agree with recessive that perhaps it is struggling to create a continuous representation of your data in the latent space. Have you looked at your ...
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