output of that dot product so that's the element wise multiplication of our inputs with our weights and that's what gets fed into our activation function so our final output Y is just there our activation function applied on Z if we want to define a multi output neural network we simply can just add another one of these perceptrons to this picture now we have two outputs one is a normal perceptron which is y1 and y2 is just another normal perceptron the same ideas before they all connect to the previous layer with a different set of weights