<filename>recurrent_neural_network/detailed_pseudocode_rnn.py
state_t = 0

for input_t in input_sequence:
    output_t = activation(dot(W, input_t) + dot(U, state_t) + b)
    state_t = output_t

<filename>recurrent_neural_network/detailed_pseudocode_rnn.py
state_t = 0

for input_t in input_sequence:
    output_t = activation(dot(W, input_t) + dot(U, state_t) + b)
    state_t = output_t
