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infogan-mnist

Small project used for a competition on semi-supervised classification of the MNIST dataset. With basic settings the testset accuracy should be around 95%, which is similar to the accuracy reported in the InfoGAN paper https://arxiv.org/abs/1606.03657.

To run the code run main_infogan. To adjust batch size and number of epochs use --batch_size --epochs.

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PyTorch implementation of InfoGAN

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