tensorflow / tensorflow/probability
Variational inference for Conv2D layers
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Description
Hello,
I have been trying to use variational inference to the MLP and CNN (conv2D) layers for my research.
Unlike a comprehensive discussion and examples for probabilistic MLP layers, I could not find any resources implying whether tensorflow_probability has also released VI for the conv2D layers.
My network is built of a combination of MLP-CNN layers and I need to define probabilistic layers for all types of layers in my code. I would appreciate it if you could guide me through finding VI for CNN.
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First steps
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Research direction
The issue names no files, tests, or entry points. Start by reviewing the existing probabilistic MLP resources and checking TensorFlow Probability's Conv2D support; done would be a documented answer or a clearly scoped implementation path for variational inference in CNN layers.
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Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100