Variational Inference approximates the posterior distribution in Bayesian Neural Networks by optimizing over a parameterized family of distributions q_φ(θ), where φ denotes variational parameters such as mean and variance.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (1)

• Bayesian Neural Networks concept