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5. If generator G and discriminator D have enough capacity, and at each step of the training algorithm, the discriminator is allowed to reach its
5. If generator G and discriminator D have enough capacity, and at each step of the training algorithm, the discriminator is allowed to reach its optimum given G, and pg is updated so as to improve the criterion Ex~pdata[log D*(x)] + Ex~pg [log(1 D*(x))] then pg converges to Pdata
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