feed-forward neural networks which takes an input rn and produces an output rmand the behavior of which is parameterized by th rp sofor instancefth could be simply fth(xth figure - shows the architecture of neuron (or unit within neural networkfigure - unit in feed-forward network unit unit (also known as node or neuronis the basic building block of neural networkrefer to figure - and figure - unit/node/neuron is function that takes as input vector rn and produces scalar unit is parameterized by weight vector rn and bias term denoted by the output of the unit can be described as xi *wi