[chillingeffect]

any thoughts on why all the current pix look like dog faces? Is that peculiar to the training set?

Also I think there's a bit more than just ZOMGtrippy. The whole project points out that "if you're looking for it, you'll find it." The system amplifies noise until it sees something familiar. Understanding that humans do this too (to a point), is a critical point in comprehension and discussion of the world, opinions and people. But yeah, it will seem rather "iconic" and dated 10 years from now.

[bbitmaster]

The reason you mostly see dog faces is only because everyone seems to be running the default code google posted. It optimizes layer 4c, which seems to be biased to producing dog faces. Running the code on other layers, or other networks produces other things. They also recently posted code where you can provide a "guide" image to guide it to producing features that are in that image.

I'm thinking that using CNNs to generate or change images could be a huge game changing technology. It could potentially be bigger for hollywood than 3d graphics. In 10 years, we could see this stuff everywhere, albeit in a more developed state. It would be used to actually transform or enhance images in a more directed way.