Gated Recurrent Unit
Gated Recurrent Unit

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„Gated Recurrent Unit“

Gated Recurrent Unit (GRU) is a type of recurrent neural network (RNN) that uses gating mechanisms to control the flow of information through the cells. GRUs are able to capture long-term dependencies in the input data and are computationally more efficient than traditional RNNs, making them an attractive choice for building complex sequence models. In GRUs, the hidden state of the network is updated using a combination of an update gate, a reset gate, and a new memory content which is used to determine the output of the cell.