李宏毅 2018最新GAN课程 class 3 Theory behind GAN

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 Too much limitation of Gaussian model. The images are too blurry. So any general model?

But if P_G(x;θ) is a neural network, it‘s impossible to calculate the likelihood. ????

 We don‘t know the formulation of PG and Pdata, so how to calculate the divergence???? ---->>> discriminator!!!

V(G,D) = maximum the output if data come from Pdata, and maximum the output of data from PG. --- >>> this process is identical to a binary classifier

李宏毅 2018最新GAN课程 class 3 Theory behind GAN

标签：imp   com   max   like   neu   proc   http   bubuko   mit   

原文地址：https://www.cnblogs.com/ecoflex/p/9040918.html