iii. For a dataset

$x$:$=(x_t,y_t{)}_1^k$

$($for some $kN),$ show how information is propagated by drawing a feedforward neural network that corresponds to the RNN from Figure for $k=3.$ Recall that a feedforward neural network does not contain nodes with a persistent state. $($Hint: unfold the RNN$.)33=9M$