An introduction to Generative Adversarial Networks This is the code that we used to generate our GAN 1D Gaussian approximation. For more information see our blog post: http://blog.aylien.com/introduction-generative-adversarial-networks-code-tensorflow.
Installing dependencies
Written for Python 2.7.x.
For the Python dependencies, first install the requirements file:
$ pip install -r requirements.txt You should then install TensorFlow (we used 0.8 here), see: https://www.tensorflow.org/versions/r0.8/get_started/os_setup.html#pip-installation.
If you want to also generate the animations, you need to also make sure that ffmpeg is installed and on your path.
Training
For a full list of parameters, run:
$ python gan.py --help To run without minibatch discrimination (and plot the resulting distributions):
$ python gan.py To run with minibatch discrimination (and plot the resulting distributions):
$ python gan.py --minibatch True