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Deep-learning-Project3

Introduction

In this repository, three GANs, i.e., DCGAN, WGAN, and ACGAN, are built to generate the realistic images based on cifar-10 dataset. In each subfolder, there are also ten example images generated by the GANs.

How to train the network (e.g., DCGAN)

python DCGAN.py

How to evaluate the trained model

There is a jupyternotebook within each folder can be used to restore the models and generate the images.

How to get the FID score

The repository https://github.com/bioinf-jku/TTUR can be used.

The packages

python==3.6
tensorflow==1.14
numpy

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