Index
A simple example for regression
Importing the necessary modules
Creating our variational regressor class
Defining a confidence interval evaluating function
Creating our regressor and loading data
Our main training and evaluating loop
Bayesian Deep Learning in a Nutshell
First of all, a deterministic NN layer linear-transformation
The purpose of Bayesian Layers
Weight sampling on Bayesian Layers
It is possible to optimize our trainable weights
It is also true that there is complexity cost function differentiable along its variables
To get the whole cost function at the nth sample
github地址：https://github.com/piEsposito/blitz-bayesian-deep-learning