/GANwKeras

Primary LanguagePython

Vanilla GAN in Keras

This is an implementation of the basic GAN algorithm using Keras based on the original GAN paper by Ian Goodfellow et al. Paper link: https://arxiv.org/abs/1406.2661

Find the Medium post explaining the use of the code here:

I have uploaded the dataset used in the code to my Floydhub for easy downloading. Find it here: https://www.floydhub.com/mirantha/datasets/celeba

Instruction to sun the sript

Download the dataset from the provided link and save the images to a folder named 'data_face' in the same directory as the script

Create another foler in the same directory named 'output_images' to store the generated images

Run the script

Notes to run from beeekey

  • create folder with input data in top directory and edit it in line 134
  • create folder "output_images" to save newly created images
  • added defined image size of class to train method --> defining size of input and output images once in the main class