Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
which can approximate the model distribution to the true distribution. Two of the most commonly used and efficient approaches are Variational Autoencoders (VAE) and Generative Adversarial Networks (GAN). VAE aims at maximizing the lower bound of the data log-likelihood and GAN aims at achieving an