Dual Discriminator Generative Adversarial Nets (D2GAN)
======================================================

This TensorFlow code implements an example of D2GAN for 2D synthetic data, presented in the paper "***Dual Discriminator Generative Adversarial Nets***" accepted at the 30th Conference on Neural Information Processing Systems (NIPS 2017).

The code is tested on Windows-based operating system with Python 3.6, TensorFlow 1.4.0.

Run the model using this command:
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	python main.py --num_z 256

Please kindly look at the file `main.py` for hyperparameter arguments.

Citation
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	Tu Dinh Nguyen, Trung Le, Hung Vu, Dinh Phung. "Dual Discriminator Generative Adversarial Nets". Advances in Neural Information Processing Systems 30, pages 2667-2677, 2017.

Bibtex
------
```
  @incollection{NIPS2017_6860,
    title = {Dual Discriminator Generative Adversarial Nets},
    author = {Nguyen, Tu and Le, Trung and Vu, Hung and Phung, Dinh},
    booktitle = {Advances in Neural Information Processing Systems 30},
    editor = {I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett},
    pages = {2667--2677},
    year = {2017},
    publisher = {Curran Associates, Inc.},
    url = {http://papers.nips.cc/paper/6860-dual-discriminator-generative-adversarial-nets.pdf}
  }
 ```