The VAE imposes a prior distribution on the hidden code space which makes it possible to draw proper samples from the model. It modifies the autoencoder architecture by replacing the deterministic encoder function with a learned posterior recognition model. The model consists of encoder and generator networks which encode data examples to latent representation and […]