GAN-Sandbox
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Published
20 hours ago •
mjdietzx
mjdietzx
Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising...
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Hi! I think you have a bug in cGAN: line 305: combined_loss = np.add(combined_model.train_on_batch(edge_image_batch, [**edge_image_batch**, y_real]), combined_loss) The L1 loss should be between generated image and ground truth(real image), and...
