How far can on-chain AI go?
GAN: introductionHere we quote wiki:A generative adversarial network (GAN) is a class of machine learning frameworks designed by Ian Goodfellow and his colleagues in June 2014. Two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss.GAN was essentially used to generate images/texts or sounds. The most famous one should be Deepfakes, where one can replace the face of a person in the video with another. GAN includes tw...
How far can on-chain AI go?
GAN: introductionHere we quote wiki:A generative adversarial network (GAN) is a class of machine learning frameworks designed by Ian Goodfellow and his colleagues in June 2014. Two neural networks contest with each other in the form of a zero-sum game, where one agent's gain is another agent's loss.GAN was essentially used to generate images/texts or sounds. The most famous one should be Deepfakes, where one can replace the face of a person in the video with another. GAN includes tw...
