bayesian-deep-learning

name	bayesian-deep-learning
description	Bayesian neural networks, uncertainty in deep learning, and probabilistic DL
license	MIT
compatibility	opencode
metadata	{"audience":"researchers","category":"machine-learning"}

What I do

• Build Bayesian neural networks
• Quantify uncertainty in DL
• Apply variational inference
• Use Monte Carlo dropout

When to use me

When working on uncertainty quantification in deep learning.

Key Concepts

• Bayesian NNs
• Variational inference
• Dropout as Bayesian
• Weight uncertainty
• Epistemic uncertainty
• Aleatoric uncertainty
• Model calibration