Boltzmann Machines
More speci cally, the aim is to nd weights and biases that de ne a Boltz-mann distribution in which the training vectors have high probability. By di erentiating Eq. 3 and using the fact that @E(v)=@wij = sv i s v j it can be shown that X v2data @logP(v) @wij = hsisjidata hsisjimodel (5) where hsisjidata is the expected value of sisj in the ...
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