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Generative adversarial networks for conditional generation of images from MNIST dataset

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sgh14/MNIST_GANs

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MNIST_GANs

Set up

Use the same environment, ctlearn_tf2, that is used for CTGANs.

Usage

Simply run main.py.

Results

Generated digits after 10 epochs of training:

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Generative adversarial networks for conditional generation of images from MNIST dataset

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