Feedforward neural network's work by accepting a feature set (also called a sample), these are then passed through multiple hidden layers which perform operations on the data and eventually are passed to the output nodes.
Once this data is passed out of the output nodes the result is used to calculate the cost of the network and then the networks parameters are tweaked using backpropagation