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--- |
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tags: |
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- huggan |
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- gan |
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- dcgans |
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task: image-generation |
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license: apache-2.0 |
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datasets: |
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- huggan/CelebA-faces |
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--- |
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# Fake Faces with DCGANs |
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## Model description |
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Describe the model here (what it does, what it's used for, etc.) |
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## Intended uses & limitations |
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#### How to use |
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```python |
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# You can include sample code which will be formatted |
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``` |
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#### Limitations and bias |
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Provide examples of latent issues and potential remediations. |
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## Training data |
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Describe the data you used to train the model. |
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If you initialized it with pre-trained weights, add a link to the pre-trained model card or repository with description of the pre-training data. |
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## Training procedure |
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Preprocessing, hardware used, hyperparameters... |
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## Eval results |
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- Generator_loss: 22.7 |
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- Discriminator_loss: 7.9 |
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## Generated Images |
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You can embed local or remote images using `` |
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### BibTeX entry and citation info |
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```bibtex |
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@inproceedings{..., |
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year={2020} |
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} |
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``` |
