This project is a Jittor implementation of a CGAN (Conditional Generative Adversarial Network) model. The model was trained on the MNIST dataset and is able to generate a .png file that displays a pre-determined sequence of numbers.
Usage
To run the model, simply clone this repository and run the following command in your terminal:
python CGAN.py
The final result will be displayed in a file named result.png.
If you don’t have Jittor installed on your computer yet, check out the following link for a detailed guide on how to do so:
CGAN_Jittor
Description
This project is a Jittor implementation of a CGAN (Conditional Generative Adversarial Network) model. The model was trained on the MNIST dataset and is able to generate a .png file that displays a pre-determined sequence of numbers.
Usage
To run the model, simply clone this repository and run the following command in your terminal:
The final result will be displayed in a file named result.png.
If you don’t have Jittor installed on your computer yet, check out the following link for a detailed guide on how to do so:
https://cg.cs.tsinghua.edu.cn/jittor/download/