how to get a middle hidden layer with this onnx model?
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 9.8k
- Forks
- 1.6k
- PR merge metrics
- No merged PRs in 30d
Description
Is there a function to get a middle hidden layer with this onnx model? such as get the last conv layer in shufflenet anyone help?
Contributor guide
No contributing guide indexed for this repository
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 provides no file, test, or entry point. Start by examining the ShuffleNet ONNX model and identifying how its middle hidden or last convolution layer could be exposed. Done should include a clear usage explanation for retrieving that intermediate layer.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100