This repository contains a Jupyter notebook implementing a Bayesian deep learning classifier with uncertainty estimation. It covers Bayesian methods for deep learning including techniques for modeling both aleatoric (data) and epistemic (model) uncertainty. The implementation uses Keras as the deep learning framework and includes CIFAR-10 image classification examples.