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My implementation of a DCGAN in keras with tensorflow.
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The usage is simple, run gan.py to train the generator and discriminator, if you want to generate images, just execute generate.py. You can create a gif from your training image by executing gif.py.
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training image are in the "car" folder, generated images from generate.py are in the "gen" folder (some exemples are already in the folder), the dataset should be in the "car_img" folder (a few images are in just for exemple, if you want the full dataset, please download : http://ai.stanford.edu/~jkrause/cars/car_dataset.html). Models are in the "vroum" folder (vroumdis.h5 for the discriminator and vroumgen.h5 for the generator).
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my implementation of DCGAN with keras, trained on car dataset