So far we have described the dynamics of Hopfield nets but nothing has been said about the way the weights are established for a particular problem. In his original paper, Hopfield (1982) did not give a method for training the nets, rather he gave a prescription for making a weight set, given a set of patterns to be stored. Here, we shall relate the storage prescription, later on, to a biologically inspired learning rule - the Hebb rule - and show that the nodes may also be trained individually using the delta rule.