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]]>I’ve always been ad-hoc by the ad-hoc setting of the thermodynamic temperature to unity in RBM’s (despite arguments concerning the minina and the energy landscape). I know its convenient, but for inference and temperature dependent tasks like annealing, the thermodynamic temperature (or its inverse) needs to be explicitly stated, since the partition function Z=Z(\beta, \lambda), where \lambda represents a configuration of weights and parameters. As an added consequence, the Crooks Fluctuation Theorem will also be satisfied. Further, on careful examination the inclusion of the inverse thermodynamic temperature will not effect the RBM properties, since the weights can be scaled as \beta\lambda \rightarrow \lambda.

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