jai-dewani / jai-dewani/DeepNeural-Net-Visualiser
Add an option to upload your own model.h5 file for visualization
Open
enhancement
- Dominant language
- Jupyter Notebook
- Stars
- 2
- Forks
- 0
- PR merge metrics
- No merged PRs in 30d
Description
This issue has no description.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names only an uploaded model.h5 file and provides no files, tests, entry points, or acceptance criteria. Start by locating the Streamlit or Flask entry point and the existing model-loading and visualization flow; clarify supported TensorFlow models and expected behavior with maintainers. Done should include a defined upload path and successful visualization of the selected model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- streamlit, tensorflow
- Domain
- machine-learning, web-dev
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100