Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence

the european symposium on artificial neural networks, 2016.

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Abstract:

Contrastive Divergence (CD) and Persistent Contrastive Divergence (PCD) are popular methods for training the weights of Restricted Boltzmann Machines. However, both methods use an approximate method for sampling from the model distribution. As a side effect, these approximations yield significantly different biases and variances for sto...More

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