Generative Models

Deep Belief Network

A Deep Belief Network (DBN) is a multi-layer generative graphical model. DBNs have bi-directional connections (RBM-type connections) on the top layer while the bottom layers only have top-down connections. They are trained using layerwise pre-training. Pre-training occurs by training the network component by component bottom up: treating the first two layers as an RBM and training, then treating the second layer and third layer as another RBM and training for those parameters.

Source: Origins of Deep Learning

Image Source: Wikipedia


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Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign