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https://github.com/yeonghyeon/wgan-tf

TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.
https://github.com/yeonghyeon/wgan-tf

gan gans generative-adversarial-network generative-model mnist mnist-dataset tensorflow tensorflow-examples wasserstein wasserstein-gan wgan

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TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.

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[TensorFlow] Wasserstein GAN (WGAN)
=====
TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.

### Training algorithm



The algorithm for training WGAN [1].


### WGAN architecture



The architecture of WGAN [1].


### Graph in TensorBoard



Graph of WGAN.


## Results

### Training Procedure






Loss graph in the training procedure. Each graph shows loss of the discriminator and loss of the generator respectively.


### Test Procedure

|z:2|z:2 (latent space walking)|
|:---:|:---:|
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|z:64|z:128|
|:---:|:---:|
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## Environment
* Python 3.7.4
* Tensorflow 1.14.0
* Numpy 1.17.1
* Matplotlib 3.1.1
* Scikit Learn (sklearn) 0.21.3

## Reference
[1] Martin Arjovsky et al. (2017). Wasserstein GAN. arXiv preprint arXiv:1701.07875.