It seems like GANs (from my perspective as a layperson) are the best application of neural nets to take an input and generate a very creative output. From the s

It seems like GANs (from my perspective as a layperson) are the best application of neural nets to take an input and generate a very creative output. From the small set of papers I've read, it seems like we are converging upon some interesting general applications of GANs that could be turned into services. But, it sounds like you don't think that's the case, and if that's so, that explains why there are not more GaaSes. Or, maybe it is because of that acronym. :) So, in a nutshell, it seems like the code isn't generalized enough that the output could be predictable enough to make public and useful as a service. Right? I do feel like every time I dip my toes into playing with a GAN, I do get lost in the setup, and I wish it were easier, hence my need for a service to do the art projects I want to build.