Which RNN architecture uses a reset and update gate?LSTMBidirectional RNNSimple RNNNone of the given optionsGRU

The Recurrent Neural Network (RNN) architecture that uses a reset gate and an update gate is the Gated Recurrent Unit (GRU).

Explanation:

1. GRU: The GRU is designed to handle the vanishing gradient problem associated with standard RNNs by incorporating gating mechanisms. It has two gates:

   • Reset Gate: Determines how much of the past information to forget.
   • Update Gate: Controls how much new information to add to the hidden state.

2. LSTM: While Long Short-Term Memory networks (LSTMs) also handle this issue and use gates (input, output, and forget gates), they do not use a reset gate in the same manner as GRUs.

3. Bidirectional RNN: This architecture processes data in both forward and backward directions but does not specifically have reset or update gates.

4. Simple RNN: This is a basic form of RNN with no gating mechanisms.

Given this information, the correct answer is GRU.