# Bayesian Deep Learning

> Bayesian neural networks, uncertainty in deep learning, and probabilistic DL

- Skill: `neuralblitz/bayesian-deep-learning` (Agent Skill)
- Install (CLI): `npx skillmds@latest add neuralblitz/bayesian-deep-learning`
- Raw SKILL.md: https://api.skillmd.com/api/skills/neuralblitz/bayesian-deep-learning/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: NeuralBlitz (https://skillmd.com/u/neuralblitz)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/neuralblitz/bayesian-deep-learning

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## 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