Unlock: Boltzmann Machines and Hopfield Networks
Energy-based models for associative memory and generative learning: Hopfield networks store patterns via energy minimization, Boltzmann machines add stochasticity and hidden units, and RBMs enable tractable learning through contrastive divergence.
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