Gated recurrent unit (GRU)
The Gated Recurrent Unit (GRU) is a type of recurrent neural network architecture designed to model sequential data. It aims to improve upon traditional RNNs by addressing the vanishing gradient problem.
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The Gated Recurrent Unit (GRU) is a type of recurrent neural network architecture designed to model sequential data. It aims to improve upon traditional RNNs by addressing the vanishing gradient problem.