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A Keras implementation of the Wasserstein GAN using the MNIST dataset

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Getting Started

Clone the repository, navigate to the local directory and run:

python main.py



Sample images created by the generator at epochs 0 and 40.

Prerequisites

  • Keras >= 2.0.8
  • TensorFlow >= 1.3.0
  • Numpy >= 1.13.3
  • Matplotlib >= 2.0.2
  • Seaborn >= 0.7.1

Built With

  • TensorFlow - A deep learning library
  • Keras - A high-level deep learning package built upon TensorFlow

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A Keras implementation of the Wasserstein GAN using the MNIST dataset

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