With Hebbian learning, two learning methods are possible

• With unsupervised learning there is no teacher: the network tries to discern regularities in the input patterns

• With supervised learning an input is associated with an output

  • If the input and output are the same, we speak of auto-associative learning
  • If they are different it is called hetero-associative learning