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| # Train a Generative Adversarial Nets (GAN) model |
| |
| This example is to train a Generative Adversarial Nets (GAN) model over the MNIST dataset. |
| |
| ## Running instructions |
| |
| 1. Download the pre-processed [MNIST dataset](https://github.com/mnielsen/neural-networks-and-deep-learning/raw/master/data/mnist.pkl.gz) |
| |
| 2. Start the training |
| |
| python vanilla.py mnist.pkl.gz |
| |
| By default the training code would run on CPU. To run it on a GPU card, please start |
| the program with an additional argument |
| |
| python vanilla.py mnist.pkl.gz --use_gpu |