<ul><li>Recurrent Neural Network (RNN) is a type of artificial neural network designed for processing sequential data.</li><li>The main differences between a RNN and a traditional feedforward neural network revolve around how they process data, especially with respect to sequential and temporal data.</li><li>In RNN, the hidden state at each time step depends on the hidden states from previous time steps.</li><li>The parameters (weights and biases) are updated using an optimization algorithm like Stochastic Gradient Descent (SGD).</li></ul>

Recurrent Neural Network (RNN)

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