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:

pip install fastai