Sequence Modeling Using a Memory Controller Extension for LSTM

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The Long Short-term Memory (LSTM) recurrent neural network is a powerful model for time series forecasting and various temporal tasks. In this work we extend the standard LSTM architecture by augmenting it with an additional gate which produces a memory control vector signal inspired by the Differentiable Neural Computer (DNC) model...