Try to understand Variational Autoencoders

ELBO as the Loss Function

Note: “p(x|z)” means True Posterior, “q(z|x)” means Approximate Posterior

What if only use first term of the Loss?

What’s the meaning of “GAN tend to lack full support over the data”?

Why using Gaussian Distribution for latent variable?