Rbm pre-training
WebJun 4, 2016 · Restricted Boltzmann machines (RBMs) have been successfully applied in unsupervised learning and image density-based modeling. The aim of the pre-training … http://web.undp.org/evaluation/documents/thematic/RBM/RBM_Evaluation.pdf
Rbm pre-training
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Webdata. Hence, the second RBM in the stack learns a better model of the mixture over all Ntraining cases: 1=N P n Q(h(1)jv n;W(1)), called the “aggregated posterior”. This scheme can be extended to training higher-layer RBMs. Observe that during the pretraining stage the whole prior of the lower-layer RBM is replaced by the next RBM in the stack. Webweights of every layer of network is trained using RBM training. This stack of RBM models with a greedy algo-rithm for training was named Deep Belief Network (DBN) (Hinton et …
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