The conditional RBM model
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	• Given the data and the previous hidden state, the hidden units at time t are conditionally independent. – So online inference is very easy. • Learning can be done by using contrastive divergence. – Reconstruct the data at time t from the inferred states of the hidden units. – The temporal connections between hiddens can be learned as if they were additional biases
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