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General Adversarial Network - What is the difference between RNN and GAN?
Answer
Both the Generator and the Discriminator in a Generative Adversarial Network (GAN) learn iteratively as they attempt to trick the other into mistakenly recognizing "real" and "fake" pictures. The addition of data feedback loops distinguishes Recurrent Neural Networks (RNNs) from traditional 'feed forward' neural networks.
