How AI can learn to generate pictures of cats – freeCodeCamp

In 2014, the research paper Generative Adversarial Nets (GAN) by Goodfellow et al. was a breakthrough in the field of generative models. Leading researcher Yann Lecun himself called adversarial nets "the coolest idea in machine learning in the last twenty years." Today, thanks to this architecture, we're going to build an AI that generates realistic pictures of cats. To view the full working code, see my Github repository. It will help if you already have some experience in Python, Deep Learning and Tensorflow, and CNNs (Convolutional Neural Nets).