README.md

---
tags:
- dcgan
- fastai
- generative-adversarial-network
- deep-learning
license: mit
library_name: fastai
---

# Model Card: DCGAN with Fastai

## Model Description

This model is a Deep Convolutional Generative Adversarial Network (DCGAN) implemented using the `fastai` library. DCGANs are a type of GAN (Generative Adversarial Network) where both the generator and discriminator are implemented using convolutional neural networks (CNNs). This model can generate realistic images after being trained on a dataset of real images.

## Model Details

- **Model Type**: Deep Convolutional Generative Adversarial Network (DCGAN)
- **Library Used**: fastai
- **License**: MIT

## Intended Use

The DCGAN model is intended for image generation tasks. It can be used for:

- Generating new images from a learned distribution.
- Enhancing image datasets for training other models.
- Creative applications such as art generation.

## How to Use

### Installation

To use this model, you need to install the `fastai` library:

```bash
pip install fastai