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Implementation of ideas from the paper Generative Adversarial Networks

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MNIST_GAN

Implementation of ideas from the paper Generative Adversarial Networks

Replicating core ideas from the paper Generative Adversarial Networks

Generator seems to be working reasonably well given the model size. Learning rate set at 3e-4 with ADAM as optimizer

Sample Generator outputs

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Implementation of ideas from the paper Generative Adversarial Networks

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