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ml-recall

#minimax-value

1 question from Generative Adversarial Networks

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Question 1: Short answer

hardAI-checkedGenerative Adversarial Networks

For the original GAN, the value of the game at the optimal discriminator is C(G)=max⁡DV(D,G)=−log⁡4+2 JSD(pdata ∥ pg)C(G) = \max_D V(D, G) = -\log 4 + 2\,\mathrm{JSD}(p_{\text{data}} \,\|\, p_g) (natural log). Its minimum, −log⁡4-\log 4, is reached when pg=pdatap_g = p_{\text{data}}. What is C(G)C(G) when pdatap_{\text{data}} and pgp_g have disjoint supports?

a number