two questions about conventions:
1. Do we always assume the prototype neurons have values either +1 or -1 ?
2. Is the formula for 
scaled by 1/N or not ? since in the slides page 13 it is scaled but in page 8 it is not.
Hopfield model definition of weights and values of prototypes
by Kiarash Farivar -
Number of replies: 1
In reply to Kiarash Farivar
Re: Hopfield model definition of weights and values of prototypes
Hi !
Thank you for your question.
1) this week you had the first course on Hopfield Networks, indeed so far you have seen only -1,1 neurons. Though there exists other possiblities. You will have an overview next week on the generalized hopfield models. Comeback to me if you still have question after next week.
2) The scaling factor is not so important, its a convention. Most of the time it is scaled. You can convince yourself that It does not change the dynamics of the Hopfield networks we have seen so far.
I hope I answered your questions,
Martin.
