tensorflow / tensorflow/probability
DenseFlipOut layer
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Description
I am using the DenseFlipOut layer, I see that it has a mean_normal distribution over the weights and the biases by default, but I was wondering how these distributions are modified during training in comparison to regular networks with a Dense layer?
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First steps
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Research direction
Start by reading the DenseFlipOut layer implementation and comparing its training behavior with the regular Dense layer. Clarify how the mean_normal weight and bias distributions are modified during training, then document the comparison in terms that answer the reporter’s question.
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Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100