The Cat Generator does what it says on the tin: infinitely generates unique cat faces out of nothing.
The Cat Generator is a coding experiment by Alexander Jung, which uses neural network analysis on a data image set to randomly generate images of individual cats from the ditital ether. The resulting cats look a little weird close-up, but as thumbnails, these all look like real kitties of varying breeds, color, and manginess.
An excellent start. Of course, the ultimate goal for a project like this should be to give the computer access to the Impact font and randomly generate LOLCats forever. Make it happen, Mr. Jung!
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