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We have now explored the two most famous architectures in Generative AI: GANs (Generative Adversarial Networks) and Auto-Encoders. While both are incredibly powerful, they each have distinct strengths and weaknesses.
What if we could combine the best features of both networks into a single, ultimate model?
