unsupervised learning
developingintelligence | November 19, 2007Geoff Hinton has a new TiCS paper describing recent advances in algorithms used to train multilayered neural networks.
First, a little background: neural networks of a sufficient size can calculate any mathematical function (an infamous proof among neural network modelers). Unfortunately, the tricky part is figuring out how to set the connections in that network to calculate those functions.
This is where learning algorithms become necessary - unless you want to tweak each connection by hand until you get a working network (not a problem if you don't care how the brain works), then you…