ABSTRACT
We will focus our attention in this chapter on training TLUs and a related node, the perceptron, using supervised learning. We will consider a single node in isolation at first so that the training set consists of a set of pairs {v, t}, where v is an input vector and t is the target class or output (“1” or “0”) that v belongs to.
