Hello guys, welcome to this new project of Generating Fake Faces. There is a wonderful concept called GANs (Generative Adversarial Network) which generates fake images. You can generate any thing you want. If you have person's faces dataset, you can generate fake faces of persons. If you have Pokémon's dataset, you can generate new Pokémon that never exists on the Earth. GANs were invented by Ian Goodfellow in 2014 and first described in paper Generative Adversarial Nets . If you have zero knowledge about GANs don't worry about it, you will learn how it works here and by the end of the post you will be able to generate whatever you want (only if you have a good and huge dataset!!!). One last thing I want to inform you is that this project is done using PyTorch . You can find the full code here . You can find more fake persons that doesn't exist on the earth here , once go through it. OK guys lets start our project. Generative Adversarial Networks Generative Adversari
Practical Machine Learning | Deep Learning