Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
inference model. Although both VAE and GANs are very exciting approaches to learn the underlying data distribution using unsupervised learning but GANs yield better results as compared to VAE. In VAE, we optimize the lower variational bound whereas in GAN, there is no such assumption. In fact, GANs