From a design perspective, my early and original results - made by an algorithm called DCGAN (one of the most basic versions of a GAN network) - looked the best. But at a resolution of under 200x200px, they were also extremely pixeled and low-res. Let's enhance.

Looking at the past year, the biggest innovation in the GAN space might have been the BigGAN architecture. The mega-architecture, trained on 512 TPUs in the space of two days, also includes a sweatshirt category. I had to look into it

I liked GANs for a while. So much, that I started writing about them in reputable publications before I even had my first job in the Machine Learning field. I trained them mostly on faces, trying to enter the Uncanny Valley,

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