目录
目录README.md

Conditional GAN for MNIST Image Generation based on Jittor

Introduction

This project includes code for MNIST image generation using conditional GAN. This is a project for Jittor AI challenge warm-up contest. Codes are based on the example code given by the reference site.

Running

This project can be run on python3.7 with jittor 1.2.2.59 and numpy 1.20.2.

Run with command:

python3.7 CGAN.py

Parameters can be adjusted using command line options. For details check the code or run:

python3.7 CGAN.py --help

Outputs include:

  • Images generated after each epoch of training.
  • Images generated for a specified number.
  • Discriminator and generator models trained.

Reference

https://www.educoder.net/competitions/index/Jittor-4

关于

MNIST image generation using conditional GAN based on Jittor framework.

29.0 KB
邀请码
    Gitlink(确实开源)
  • 加入我们
  • 官网邮箱:gitlink@ccf.org.cn
  • QQ群
  • QQ群
  • 公众号
  • 公众号

©Copyright 2023 CCF 开源发展委员会
Powered by Trustie& IntelliDE 京ICP备13000930号