GRU
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Explore more → What is GRU?
A Gated Recurrent Unit (GRU) is a type of recurrent neural network (RNN). It is a gating mechanism in recurrent neural networks, introduced in 2014. GRUs are similar to LSTMs, but have fewer parameters, making them computationally more efficient. They are commonly used in natural language processing, speech recognition, and other sequence modeling tasks where capturing temporal dependencies is important.
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