---
tags:
- huggan
- gan
- dcgans
task: image-generation
license: apache-2.0 
datasets: 
- huggan/CelebA-faces
---

# Fake Faces with DCGANs

## Model description

Describe the model here (what it does, what it's used for, etc.)

## Intended uses & limitations

#### How to use

```python
# You can include sample code which will be formatted
```

#### Limitations and bias

Provide examples of latent issues and potential remediations.

## Training data

Describe the data you used to train the model.
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.

## Training procedure

Preprocessing, hardware used, hyperparameters...

## Eval results
- Generator_loss: 22.7
- Discriminator_loss: 7.9 

## Generated Images

You can embed local or remote images using `![](...)`

### BibTeX entry and citation info

```bibtex
@inproceedings{...,
  year={2020}
}
```