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I overall maintain my general sentiment about the paper and look forward to more discussion of this work's relationship to traditional neural / deep networks. They apply this model to text documents as a "deep belief topic model" (my own phrasing). They derive an inference / update step, in which dirichlet vectors are propagated up the network and gamma weights are propagated back down it, and perform an empirical evaluation of the model. Overall this paper was written fairly clearly. I thought the paper was mostly fine, but I believe that the empirical analysis could be improved (more on that shortly).