Generative Adversarial Networks for Beginners

You can download and modify the code from this tutorial on GitHub here. According to Yann LeCun, "adversarial training is the coolest thing since sliced bread." Sliced bread certainly never created this much excitement within the deep learning community. Generative adversarial networks--or GANs, for short--have dramatically sharpened the possibility of AI-generated content, and have drawn active research efforts since they were first described by Ian Goodfellow et al. in 2014. GANs are neural networks that learn to create synthetic data similar to some known input data.