> 순환 신경망(Recurrent neural network, RNN)
• RNN (LSTM) makes predictions based on current and previous inputs recurrently,
while FFNN makes decisions based only on the current input.
• RNN processes the input sequence one data xt at a time (current input) and
maintains a hidden state vector ht as a memory for past information (previous inputs).
• It learns to selectively retain relevant information to capture temporal dependency or structure
across multiple time steps for processing sequential data.
• RNN does not require a fixed sized time window and can handle variable length sequences
SimpleRNN
