I've been working on training systems for very large neural networks recently. One cool result we've found is that a large network trained with totally unlabeled data can automatically discover high-level concepts like human faces, cats, etc. (cats because we trained on still images from a large collection of YouTube videos).+John Markoff
wrote up a very nice article in the New York Times today that describes how we've been applying these systems to various problems in computer vision.+Quoc Le
, +Marc'Aurelio Ranzato
, Rajat Monga, Matthieu Devin, Kai Chen, +Greg Corrado
, +Andrew Ng
, and I wrote a paper to appear at this week's ICML conference, which has a bit more technical detail about the system.
The ICML paper is here: http://research.google.com/archive/unsupervised_icml2012.html
The NY Times article is here:http://www.nytimes.com/2012/06/26/technology/in-a-big-network-of-computers-evidence-of-machine-learning.html?_r=1&smid=go-share