Generative Adversarial Nets
g), where Gis a differentiable function represented by a multilayer perceptron with parameters g. We also define a second multilayer perceptron D(x; d) that outputs a single scalar. D(x) represents the probability that x came from the data rather than p g. We train Dto maximize the probability of assigning the
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