tensorflow / tensorflow/probability
No intercept on probabilistic layers
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Description
Base tensorflow layers such as Dense have an option use_bias that can be set to false to get rid of a trainable intercept parameter. I can't seem to figure out how to do this with the probabilistic layers such as DenseFlipout. Does anyone know how to do this?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the DenseFlipout probabilistic layer entry point and compare its constructor options with TensorFlow's Dense use_bias behavior. Determine whether disabling the intercept is supported; done means documenting the supported configuration or clearly defining the needed feature and its test coverage.
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Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100