Additional mathematical and learning concepts · MLD-0103
Bayesian neural network
A neural model that represents uncertainty over its parameters through a probability distribution or an approximation to one.
Original reference page · detailed expansion pending. Original definitions, examples, notes and citations are preserved below. New examples are illustrative, not benchmark results.
Original example
Estimate predictive uncertainty from weight uncertainty.
Original caveat
Approximate Bayesian inference can still be miscalibrated.
Context and aliases
Level: Advanced. Stages: Theory · Training · Evaluation.
Tags: ML · DL.
Aliases: BNN.
Related concepts
Concepts linking here
Original references
- Deep Learning: online textbook ↗ · Consulted
- Mathematics for Machine Learning ↗ · Reference link
- scikit-learn User Guide ↗ · Consulted
- Original reference URL ↗