A developmental approach for training deep belief networks

Matteo Zambra, Alberto Testolin, Marco Zorzi

Deep belief networks (DBNs) are stochastic neural networks that can extract rich internal representations of the environment from the sensory data. DBNs had a catalytic effect in t…