carpedm20 / carpedm20/DCGAN-tensorflow
What can one do with an existing model?
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- JavaScript
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Description
I'm curious about how one might use this without `--is_train`. I can load a model successfully, but it's not clear if there is anything in place to use it.
For instance, I would like to explore the latent space in a given region and show its linearity. Is there any simple way to input different values and output images?
Contributor guide
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Research direction
Start by tracing the existing --is_train handling and the path used to load an existing model. Determine whether the current entry points support supplying latent-space values and producing images; done means the supported inference workflow and its limits are clear, with a reproducible way to explore a chosen region.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100