2019
Bayesian Layers: A Module for Neural Network Uncertainty
NeurIPS 2019poster
We describe Bayesian Layers, a module designed for fast experimentation with neural network uncertainty. It extends neural network libraries with drop-in replacements for common layers. This enables composition via a unified abstraction over deterministic and stochastic functions and allows for scal…