DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
About this project
DCGAN in Tensorflow Tensorflow implementation of Deep Convolutional Generative Adversarial Networks which is a stabilize Generative Adversarial Networks. The referenced torch code can be found here. Brandon Amos wrote an excellent blog post and image completion code based on this repo. To avoid the fast convergence of D (discriminator) network, G (generator) network is updated twice for each D network update, which differs from original paper. Online Demo link Prerequisites — Python 2.7 or Python 3.3+ — Tensorflow 0.12.1 — SciPy — pillow — tqdm — (Optional) moviepy (for visualization) — (Optional) Align&Cropped Images.zip : Large-scale CelebFaces Dataset Usage First, download…
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