Gated Recurrent Unit (GRU)

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a gating mechanism in Recurrent Neural Network (RNN) The GRU is like a Long Short-Term Memory (LSTM) with forget gate[2] but has fewer parameters than LSTM, as it lacks an output gate.[3] GRU's performance on certain tasks of polyphonic music modeling and speech signal modeling was found to be similar to that of LSTM. GRUs have been shown to exhibit even better performance on certain smaller datasets. Gated Recurrent Unit | Wikipedia

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