recurrent neural networks figure - unrolls the recurrent network shown in figure - --that isthe recurrence unit is added from the previous hidden state we can note this by referring to being passed to the hidden state for ( similarlythe hidden state is passed to the final step in this illustration the weight and bias are shared across the recurrent units figure - unrolling the rnn corresponding to figure - figure - unrolls the recurrent network shown in figure - --that isthe recurrence unit is added from the previous output state we can note this by referring to ( being passed to the hidden state for ( similarlythe output state ( is passed to the final step in this illustration the weight and bias are shared across the recurrent units