Draw a neural network that represents the function f(x1, x2, x3) defined below. You can only use two types of units: linear units and sign units. Recall that the linear unit takes as input weights and attribute values and outputs w0 + P i wixi , while the sign unit outputs +1 if (w0 + P i wixi) > 0 and −1 otherwise