The conversation between human and AI assistant.
Where are Bayesian regularized Neural Networks better over the usual NNs?
Can you tell me about Bayesian regularized Neural Networks and how they differ from the usual NNs?
Sure. Bayesian regularized Neural Networks, also known as Bayesian Neural Networks, are a type of Neural Networks that use Bayesian inference to deal with uncertainty. They differ from the usual Neural Networks in that they include a prior probability distribution over all possible values of the model's parameters, which is then updated using observed data. This allows them to make predictions that are not only accurate, but also provide a measure of the uncertainty associated with those predictions.