Pymc3 bayesian neural network for continuous regression

ELBO looked converged. I am new to variational inference so don’t know what’s converged on not. I guess I should look for some stationary stuff but maybe there are better ways to determine convergence.

Jupyter is new for me but probably I need to learn it as well if it is a standard of communication.

My main concern is that I possibly did something wrong when converting logistic regression to continuous regression, adding biases, adding sd parameter.