Deep fakes are synthetic media in which the appearance of a person in an existing image or video is replaced with that of another person.
Deep fakes rely on powerful machine learning and artificial intelligence techniques to manipulate or generate visual and audio content that can more easily deceive.
The main machine learning methods used to create deep fakes are based on deep learning and involve the training of generative neural network architectures such as autoencoders or generative adversarial networks such as CycleGAN and RecycleGAN by example.
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