Wednesday, December 19, 2018

GANs That Work and GANs That Fail

draft

So after the previous "circle test". I try two more tests using the exact same GAN networks, batch size, etc.  One is a "square test", similar to the "circle test" and one is a "grid test" of 100 variations on a grid.  See examples of both below.






And here are some results from the "square test"







I think these are looking pretty good.

But now when we get to the grid test, well, not so good.







This makes me wonder if GANs can really handle anything other than very clear graphic shapes.  Or maybe a completely different type of network is required.

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