Skip to content

Deep Convolutional Generative Adversarial Networks for MNIST and Anime dataset generation

Notifications You must be signed in to change notification settings

limingwu8/DCGAN

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 

Repository files navigation

DCGAN in Pytorch

Overview

This code is the Pytorch implementation of Deep Convolutional Generative Adversarial Networks on MNIST and Anime dataset.

Dataset

Anime dataset can be downloaded from https://zhuanlan.zhihu.com/p/24767059 or https://drive.google.com/drive/folders/1qDhrjL0iz9rKb5t90Iy81pJKKCy9zNXx?usp=sharing

Prerequisites

  • python(3.6)
  • pytorch(0.3.1)

Results on MNIST dataset

The network was trained for 50 epochs in MNIST dataset,

epoch:10 epoch:20 epoch:50

Results on Anime dataset

The network was trained for 200 epochs in Anime dataset.

epoch:10 epoch:50 epoch:200

References

About

Deep Convolutional Generative Adversarial Networks for MNIST and Anime dataset generation

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages