It looks awesome, thanks!
The idea of this library is to show the inner workings of the GANs as they’re publicized in the papers, but I will definitely make some examples with TFGANs in the future for broader exposition. ;)
The idea of this library is to show the inner workings of the GANs as they’re publicized in the papers, but I will definitely make some examples with TFGANs in the future for broader exposition. ;)
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