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I'm requested to implement mnist project using stacked RBM. I didn't find any implementation of RBM in keras or tensorflow. However, there is a Bernoulli RBM in sklearn.

Could you please guide me if they are the same? Can I make a stacked RBM using this package?

And in general, what is the difference between them?

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They're not the same at all.

A stacked RBM is probably another name for a DBN (Deep Belief Network). It is derived from an RBM, but it's not an RBM.

A bernoulli RBM is an RBM where the nodes in the graph are bernoulli random variables.

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