An RBM is a non-directed graphical model that defines the distribution over some input vector X. I know it's going to model the distribution of that those vectors in my training data X using a layer of binary hidden units, but i don't understand if it's an unsupervised method, then what kind of information about the labeling of the data gives us the distribution? I would appreciate if someone could give a brief intuitive explanation about this.
2026-03-27 07:13:12.1774595592
How does Restricted Boltzmann Machine (RBM) try to model the distribution of data?
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