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Code for "Gradient descent GAN optimization is locally stable"
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Failed to load latest commit information. Gaussian toy experiments. Nov 4, 2017

Gradient Regularized GAN

Code for the regularizer proposed in the NIPS 2017 paper on "Gradient descent GAN optimization is locally stable" arXiv:1706.04156

The code for the Gaussian experiments is based on but modified to reflect the parameters specified in the Unrolled GANs paper arxiv:1611.02163. The experiments for our paper were performed on Tensorflow 1.1.0 and Keras 1.2.

Run python <filename>.py where <filename> is either or to run the unrolled GAN and the gradient-norm-regularized GAN respectively.

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