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Last Commit
Mar. 10, 2019
Mar. 3, 2019

Gradient Penalty DCGAN

Gradient Penalty DCGAN built on Keras. uses DCGAN architecture. uses Residual Blocks with DCGAN. uses AlphaGAN architecture with Residual Blocks.

Data collected from here:

Related Papers: "Which Training Methods for GANs do actually Converge?"

"Variational Approaches for Auto-Encoding Generative Adversarial Networks"

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To use, rename all images in your dataset according to this convention: "im (n).png". On windows you can do this by selecting all images, and renaming the first to "im". Then put all images into a folder under /data/. Change to fit what you want (image size, directory, etc.) Run