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+## KERAS-DCGAN ##
+Implementation of http://arxiv.org/abs/1511.06434 with the (awesome) [keras](https://github.com/fchollet/keras) library,
+for generating artificial images with deep learning.
+
+This trains two adversarial deep learning models on real images, in order to produce artificial images that look real.
+The generator model tries to produce images that look real and get a high score from the discriminator.
+The discriminator model tries to tell apart between real images and artificial images from the generator.
+
+Usage
+-----
+Training:
+    `python dcgan.py --mode train --path <path_to_images> --batch_size <batch_size>`
+    python dcgan.py --mode train --path ~/images --batch_size 128
+
+Generation:
+`python dcgan.py --mode generate --path <path_to_images> --batch_size <batch_size>`
+python dcgan.py --mode generate --path ~/images --batch_size 128
+