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DBNs are graphical models which learn how to extract a deep hierarchical representation on the teaching info. They model the joint distribution in between noticed vectorEach individual layer is experienced being a denoising autoencoder by minimizing the mistake in reconstructing its input (that is the output code of the past layer). When the primar