So far, the output of the standard and the Bayesian NN models that we built is deterministic, that is, produces a point estimate as a prediction for a given example. We can create a probabilistic NN by letting the model output a distribution. In this case, the model captures the aleatoric uncertainty as well, which is due to irreducible noise in the data, or to the stochastic nature of the process generating the data.