Making AI Art with Style Transfer using Keras – ML Review – Medium

Over the past several years, Convolutional Neural Networks (CNNs) have established themselves as a state-of-the-art computer vision tool both in industry and academia. Being used in applications ranging from facial recognition to self-driving cars, they have become incredibly popular for deep learning developers. In my work at Galaxy.AI, I've implemented CNNs for some of the more "traditional" computer vision tasks such as image classification and object localization. In addition to these sorts of tasks, however, CNNs have been shown to be particularly good at recognizing artistic style. Specifically, in this paper from 2015, the authors discuss how deep convolutional neural networks can distinguish between "content" and "style" in images.