tensorflow / tensorflow/probability
Bayesian neural network tutorial
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good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
Port current example into colab. Add text from
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Locate the current Bayesian neural network example and compare it with the Edward tutorial at http://edwardlib.org/tutorials/bayesian-neural-network. Port the example into Colab and incorporate the tutorial text; done means the Colab tutorial contains the current example and the requested explanatory material.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100