Testing the waters of Bayesian Neural Networks(BNNs)

Point (2.) is what we are going to dive in! Uncertainty is inherent everywhere, nothing is error free. So, it is frankly quite surprising that for most Machine Learning projects, gauging uncertainty isn't what's aimed for! As a not-so-real-world example, consider a treatment recommendation algorithm. We are given a patient's medical data that we feed into our network.