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The study proposes the use of Deep Belief Networks (DBN) as quantization for inputs from Long Short-Term Memory (LSTM), called qLSTM. The system was tested using the sleep apnea data set to evaluate the combination. The target in the dataset is the sleep stage classification. Specifically, the study evaluates several variations of length of sequence data in LSTM. The result obtained that the optimal...