Simple Bayesian Neural Network examples

I am looking for regressions and classification examples for simple Bayesian (Probabilistic) Neural Network. Simple means neural networks that are shallow (not-deep, one hidden layers and similar).
Can you point me to these sources?

Hi, check out our Bayesian regression tutorial (part 1, part 2) and this forum post about pyro.contrib.bnn.HiddenLayer.

There is also a bayesian neural network example in NumPyro that makes use of HMC for inference: numpyro/ at master · pyro-ppl/numpyro · GitHub