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Helmholtz machine
Helmholtz machines are neural networks which learn the hidden structure of a set of data by being trained to create a generative model which can produce the original set of data. The hope is that by learning economical representations of the data, the underlying structure of the generative model should reasonably approximate the hidden structure of the data set.
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