tensorflow / tensorflow/probability
How to initialize weights and bias for a tfp.layers.Convolution2DFlipout from a pre-trained tf.keras.layers.Conv2D?
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Description
how to initialize weights and bias for model build using tfp.layers.Convolution2DFlipout from a pre-trained model with tf.keras.layers.Conv2D. Both having the same number of layers.
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
The issue names no file or test. Start by reading the APIs for tfp.layers.Convolution2DFlipout and tf.keras.layers.Conv2D, then verify weight transfer in a minimal model with matching layer counts. Done means providing a documented initialization procedure or clearly stating the compatibility limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- keras, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100