1 code implementation • 23 Apr 2019 • Jason Chou, Gautam Hathi
The variational autoencoder (VAE) framework remains a popular option for training unsupervised generative models, especially for discrete data where generative adversarial networks (GANs) require workaround to create gradient for the generator.
