tensorflow / tensorflow/probability
Misleading comment in BNN code
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 4.4k
- Forks
- 1.1k
- PR merge metrics
- No merged PRs in 30d
Description
Looking at the comment in the BNN example, it says that the architecture is "LeNet-5" ... but when I looked at LeNet paper and various articles, the second convolutional layer in Lenet-5 is mapped a little differently than in a simple CNN (like in your code) ...
Might be a good idea to change the comment or mention this as a side note ?
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
Start at tensorflow_probability/examples/bayesian_neural_network.py#L17 and compare the comment's description with the linked LeNet paper and references. Update the comment or add a side note so the example's architecture is described accurately.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100