Making Faces: Conditional Generation of Faces using Sophia R Searcy, Justin Blinder

PyData NYC 2018 Generative Adversarial Networks are a promising modern application of Deep Learning that allows models to generate examples. However, GANs are complex, difficult to tune, and limited to small examples. We will explore recent GAN progress with a model that generates faces conditional on desired features, like smiling and bangs. Accessible to anyone comfortable with keras or tensorflow. PyData is an educational program of NumFOCUS, a 501(c)3 nonprofit organization in