# Stochastic Variational Bayes¶

SVB is a package to perform stochastic Bayesian inference on a nonlinear forward model (i.e. a parameterised model which is able to predict data values from a set of parameter values).

The implementation leverages the TensorFlow framework to perform efficient optimisation of the model parameters given an experimental data set.