Material for : Factored Conditional Restricted Boltzmann Machines for Modeling Motion Style ∗ Graham
نویسندگان
چکیده
In this document, we provide additional details for variants of Conditional Restricted Boltzmann Machines (CRBMs). Specifically we focus on each of the four models compared in the Quantitative Evaluation (Sec. 4.4). We collect the formulae required for contrastive divergence learning of parameters, synthesis from a trained model by alternating Gibbs samping, and forward prediction from a trained model by following the gradient of the free energy.
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