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out to work remarkably well. Here's um an architecture called deconvolutional generative adversarial network architecture that takes the code. This
is a random code. It's a Gaussian code. It passes through a sequence of convolutions alo a sequence of deconvolutions. So given the code you
sort of deconvolve it back to highdimensional image um and you train it using adversetal setting right this is your sampling you
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