Neural Style Transfer for Images and Video in TensorFlow
Convolutional Neural Networks and Graphics Processing Units (GPU) have been at the core of an exciting paradigm shift in computer vision research that some researchers have called “the algorithmic perception revolution.” This talk presents a TensorFlow (Google's machine learning framework) implementation and a description of several algorithmic techniques for performing artistic style transfer using a neural network architecture trained for large-scale image recognition tasks. The neural algorithm separates and recombines the style and content of arbitrary images. During this talk we will see some strange images and gain insights into the deep learning algorithms behind the popular mobile app Prisma.
