Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
with parameters μ(X) and Ʃ(X), the error due to the difference between these two distributions i.e., P(z) and Q(z|X) given by KL-divergence results in a closed form solution given below. Considering we are optimizing the lower variational bound, our optimization function is : log(P(X|z)) −