What is VBNNs?

Answer 1

VBNNs, or Variational Bayesian Neural Networks, are a type of neural network that incorporates Bayesian methods to estimate uncertainty in model predictions. They utilize a variational inference approach to approximate the posterior distribution of the network's weights, allowing for the quantification of uncertainty in the outputs. This is particularly useful in applications where reliability and risk assessment are crucial, such as in healthcare or autonomous systems. By combining the flexibility of neural networks with Bayesian principles, VBNNs aim to improve robustness and interpretability.