GAN 的理解

理论： m i n G m a x D V ( D , G ) = E x ∼ p d a t a ( x ) [ l o g D ( x ) ] + E z ∼ p ( z ) [ l o g ( 1 − D ( G ( z ) ) ) ] \mathop{min}\limits_{G}\mathop{max}\limits_{D}V(D,G)=E_{x\sim p_{data}(x)}[log

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