README.md

metadata

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:

pip install fastai