Y LeCun Predictive Learning Yann Le Cun Facebook AI Research Center for Data Science, NYU Courant Institute of Mathematical Sciences, NYU http://yann.lecun.com Y LeCun 1st Connectionist Summer School, CMU July 1986 Y LeCun 1st Connectionist Summer School, CMU July 1986 Jay McClelland Terry Sejnowski Geoff Hinton Mike Jordan Jordan Pollack Jim Hendler Dave Touretzky Yann LeCun Richard Durbin Bartlett Mel Stan Dehaene Andy Barto Mike Mozer Dana Ballard Gerry Tesauro David Willshaw Bart Selman Y LeCun Supervised Learning We can train a machine on lots of examples of tables, chairs, dog, cars, and people But will it recognize table, chairs, dogs, cars, and people it has never seen before? CAR PLANE CAR Y LeCun Deep Learning = The Entire Machine is Trainable Traditional Pattern Recognition: Fixed/Handcrafted Feature Extractor Trainable Classifier Feature Extractor Mainstream Modern Pattern Recognition: Unsupervised mid-level features Trainabl
