hackclubnmit / hackclubnmit/tensorflow-hacktoberfest-2020
Fine tune the sentiment model to give at least 90% accuracy without overfitting.
Open
enhancement
good first issue
hacktoberfest
- 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
Start by locating the movie review sentiment-analysis model in the repository and inspect its existing training notebook. No file, test, dataset, or evaluation procedure is named, so clarify those before starting. Done would require at least 90% accuracy on a defined evaluation set while demonstrating that the model is not overfit.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, keras, python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100