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Generating Fake faces in photos and videos has become prevalent in last few years (cough) Deep Fakes (cough). It's come to a point where we can't tell if photos and videos contain real people. It's fascinating (and scary?) ! But how did we get here? What is the technology behind these eerily real faces? The main Technology behind this phenomenon are "Generative Adversarial Networks". Let's talk about them. REFERENCES [1] The OG GAN : https://arxiv.org/abs/1406.2661 [2] Deep Convolutional GAN (DCGAN): https://arxiv.org/abs/1511.06434 [3] Coupled GANs: https://arxiv.org/abs/1606.07536 [4] Progressively growing GAN: https://arxiv.org/abs/1710.10196 [5] Style-Transfer GAN: https://arxiv.org/abs/1812.04948 [6] DeepFakes - Real Consequences (ColdFusion): • Deepfakes - Real Consequences [7] First paper on Neural Networks: http://www.cse.chalmers.se/~coquand/A... [8] How fast processing power increased over the years: https://www.eetimes.com/author.asp?se... [9] Deep Learning Vs Classical Machine Learning [10] Neural Networks in Security Systems: https://ieeexplore.ieee.org/document/... [11] State of the Art Neural Networks for Image Captioning: https://cs.stanford.edu/people/karpat... [12] Applications of Neural Networks: https://arxiv.org/pdf/1803.01164.pdf [13] Build a Music & Text Generator: https://towardsdatascience.com/deep-l... [14] CycleGANs: https://arxiv.org/pdf/1703.10593.pdf