The following question will ask you about the below neural network, where we set w0 = -5, w1 = 2, w2 = -1, and w3 = 3. x1, x2, and x3 represent input neurons, and y represents the output neuron. What value will this network compute for y given inputs x1 = 3, x2 = 2, and x3 = 4 if we use a step activation function? What if we use a ReLU activation function?

(A)0 for step activation function, 0 for ReLU activation function
(B)0 for step activation function, 1 for ReLU activation function
(C)1 for step activation function, 0 for ReLU activation function
(D)1 for step activation function, 1 for ReLU activation function
(E)1 for step activation function, 11 for ReLU activation function
(F)1 for step activation function, 16 for ReLU activation function
(G)11 for step activation function, 11 for ReLU activation function
(H)16 for step activation function, 16 for ReLU activation function