I'm trying to figure out how well RBMs can handle very large numbers of sparse input neurons (over >100k, but where all but 20 or 30 are set to 0).
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submitted by sanity
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Can anyone provide an intuitive explanation of the Restricted Boltzmann Machine learning algorithm?
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