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Classical VAE not learning 2D gaussian mixture distribution using MSE loss
I've been exploring VAE for non-image data. I consider small to medium-sized continuous vector spaces and I want to learn the distribution of a dataset in that space.
As a warm up exercise, I tried ...
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Variational Autoencoder (VAE) latent features
I'm new to DL and I'm working on VAE for biomedical images. I need to extract relevant features from ct scan. So I created first an autoencoder and after a VAE. My doubt is that I don't know from ...
