Introducing TensorFlow Probability – TensorFlow – Medium

The "Gaussian Copula" creates a few custom Bijectors and then shows how to easily build several different copulas. For more background on distributions, see "Understanding TensorFlow Distributions Shapes." It describes how to manage shapes for sampling, batch training, and modeling events. A variational autoencoder is a machine learning model which uses one learned system to represent data in some low-dimensional space and a second learned system to restore the low-dimensional representation to what would have otherwise been the input. Because TF supports automatic differentiation, black-box variational inference is a breeze!