•
Let W(t) be a matrix of connection
weights at time t
•
Let a and b be two to-be-associated
vectors
•
Hebb learning becomes:
•
W(t+1) = W(t) + a b’
•
The outer product defines Hebb
learning!
Algebra Of The Hebb Rule