https://github.com/tokestermw/uncertainty-deep-learning

Example to get uncertainty intervals from Deep Learning models
https://github.com/tokestermw/uncertainty-deep-learning

bayesian deep-learning

Last synced: 24 days ago
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Example to get uncertainty intervals from Deep Learning models

• Host: GitHub
• URL: https://github.com/tokestermw/uncertainty-deep-learning
• Owner: tokestermw
• License: mit
• Created: 2017-07-17T15:09:45.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-07-17T15:29:30.000Z (almost 8 years ago)
• Last Synced: 2025-03-27T11:43:43.742Z (about 1 month ago)
• Topics: bayesian, deep-learning
• Language: Python
• Size: 4.88 KB
• Stars: 6
• Watchers: 2
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Uncertainty in Deep Learning

Example to get uncertainty intervals from Deep Learning models.

This example runs a linear regression in TensorFlow but it should be 

straightforward to extend it to deep learning models.

Install the requirements.

```

pip install -r requirements.txt

```

Run the script.

```

    python main.py simple_linear  # point estimate

    python main.py simple_linear .9  # Monte Carlo uncertainty interval

    python main.py bayesian_simple_linear  # Bayesian uncertainty interval

```

Medium blog post: https://medium.com/towards-data-science/adding-uncertainty-to-deep-learning-ecc2401f2013