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How an A.I. ‘Cat-and-Mouse Game’ Generates Believable Fake Photos - The New York Times
As it built a system that generates new celebrity faces, the Nvidia team went a step further in an effort to make them far more believable. It set up two neural networks — one that generated the images and another that tried to determine whether those images were real or fake. These are called generative adversarial networks, or GANs. In essence, one system does its best to fool the other — and the other does its best not to be fooled.
ee  ai  fake  deepfake  neural 
may 2018 by osi_info_program

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