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🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...

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Hello Sir, Thanks for a very useful repository about GANs. Would mind clarifying something about GAN loss? It's about the "sign" return by ``` d_loss_fn``` and ```g_loss_fn``` in this snippet....