Derive the gradient descent training rule assuming for the target function od $=$w$0+$ w$1$x$1+...+$ wnxn$.$ Define explicitly the squared cost$/$error function E$,$assuming that a set of training examples D is provided, where each training $$example d $$ D is associated with the target output td$.$