NLP, ChatGPT, Deep Learning, Artificial Intelligence, Data Science.
a hidden state that is updated at each time step based on the current input and the previous hidden state. This allows them to capture temporal dependencies and long-range context. The basic RNN equations are: $h_t = \tanh(W_{hh} h_{t-1} + W_{xh} x_t)$ $y_t = W_{hy} h_t$ where $h_t$ is the hidden