Wgan Save

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Project README

Wasserstein GAN

Tensorflow implementation of Wasserstein GAN.

Two versions:

  • wgan.py: the original clipping method.
  • wgan_v2.py: the gradient penalty method. (Improved Training of Wasserstein GANs).

How to run (an example):

python wgan_v2.py --data mnist --model mlp --gpus 0
Open Source Agenda is not affiliated with "Wgan" Project. README Source: jiamings/wgan
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5 years ago
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jiamings/wgan
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Generative Generative Adversarial Network Generative Model Tensorflow Tensorflow Experiments Tensorflow Models

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