Nvidia published a recent paper that detailed a system able to progressively grow the architecture of a generative adversarial network during the training phase. This network was able to produce images nearing photorealism at a faster pace than previous models, pretty exciting stuff! I’ll explain how it works both in theory and code in this video.
Code for this video:
https://github.com/llSourcell/Progressive_GANs/tree/master
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