Advanced · Neural Networks
Bayesian neural network
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. A probabilistic neural network that quantifies uncertainty in its weights and predictions by modeling them as probability distributions.
Technical Definition
A probabilistic neural network that quantifies uncertainty in its weights and predictions by modeling them as probability distributions.
How it works
A Bayesian neural network (BNN) extends traditional neural networks by incorporating probability distributions over its weights, rather than point estimates. This allows BNNs to provide not just predictions, but also a measure of uncertainty associated with those predictions. This quantification of uncertainty is valuable in applications where understanding model confidence is critical.
Related Concepts
- Neural Network — A computing system inspired by biological neural networks that learns patterns from data through interconnected layers of nodes.