CornellDataScience / CornellDataScience/GAN-Art-Generation
Narrow target data set into categories and re-train
Open
- Dominant language
- Jupyter Notebook
- Stars
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- Forks
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Description
This issue has no description.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue provides no files, notebooks, datasets, model entry points, or tests to inspect. Start by locating the training notebook and current target dataset, then determine the intended categories and retraining workflow. Done should mean the dataset is narrowed into agreed categories and the model has been retrained with results documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100