bayesian-deep-learning
Bayesian neural networks, uncertainty in deep learning, and probabilistic DL
来源信息
- 仓库
- NeuralBlitz/Mito
- 最近来源活动
- 2026年3月22日 13:29
- 检测到的 SKILL.md 语言
- 英语
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安装方式
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
检查来源文件
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SKILL.md
来源说明 · 只读预览- 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
在 GitHub 查看