Generative Neural Networks (GANs) explained for everybody. We also have a little compilation of 5 examples of what GANs can do. Check it out! ➡️ AI Coffee Break Merch! 🛍️ https://aicoffeebreak.creator-spring.com/ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ 🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕ Patreon: https://www.patreon.com/AICoffeeBreak Ko-fi: https://ko-fi.com/aicoffeebreak ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ Outline: * 00:00 Applications of GANs * 03:54 GAN explained 📄 Paper: Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. "Generative adversarial nets." In Advances in neural information processing systems, pp. 2672-2680. 2014. http://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf 🔗 Links: YouTube: https://www.youtube.com/AICoffeeBreak Twitter: https://twitter.com/AICoffeeBreak Reddit: https://www.reddit.com/r/AICoffeeBreak/ #AICoffeeBreak #MsCoffeeBean #GAN #MachineLearning #AI #research

generative adversarial networksGANGANsFreezeGGigaPixelDenis Shiryaev[4k60 fps] San FranciscoFace2MalnyunFace2SimpsonsthispersondoesnotexistStyleGAN2pix2pixpixsrvFace-Depixelizerbiasimage-to-imageNash equilibriumconvergence problemsmode collapsetranslationbig dataComputer VisionCVneural networksNLPAIartificial intelligencelearningmachine learningdeep learningeasyexplainedcomprehensibleresearchcomputer sciencedemoapplicationsanimated