GLOSSARY TERM
What is Deep Belief Network?
A generative graphical model composed of multiple layers of latent variables.
Deep Belief Networks consist of stacked Restricted Boltzmann Machines. They are trained greedily, layer by layer, in an unsupervised manner, allowing them to capture deep hierarchical representations of complex input distributions.
Hierarchical Learning
Deploy sophisticated multi-layered architectures with the M1 Layer.