# Why is the prior on the latent variable standard gaussian in VAE?

While training a standard VAE, we assume that the prior on the latent variable Z is the standard gaussian and we use KL divergence to push the posterior as close as possible to the standard gaussian. Why not assume any other gaussian as the prior? What are the intuitive reasons for this?

• A good reason is we normalize data before the training process!
– OmG
Aug 25, 2021 at 13:30