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
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