Consider training a neural network with a suciently small training dataset, in one

iteration of the algorithm $($that is$,$ one iteration of parameter update$),$ which is the

CORRECT sequence of steps?

A$.$ Forward propagation; Back propagation; Weight update with gradient descent

B$.$ Forward propagation; Weight update with gradient descent; Back propagation

C$.$ Weight update with gradient descent; Forward propagation; Back propagation

D$.$ Back propagation; Forward propagation; Weight update with gradient descent