Neural Computation 2006

A fast learning algorithm for deep belief nets

Neural Computation 2006 albertbup/deep-belief-network

Using complementary priors, we derive a fast, greedy algorithm that can learn deep, directed belief networks one layer at a time, provided the top two layers form an undirected associative memory.