Guest
Presented by Gene Kogan Over the past several years, two trends in machine learning have converged to pique the curiosity of artists working with code: the growing popularity of powerful open source deep learning frameworks like Torch and TensorFlow, and the emergence of data-intensive generative models for hallucinating images, sounds, and text as though they came from the oeuvre of Shakespeare, Picasso, or just a gigantic database of digitized cats. This talk will review these developments, present
