The Hopfield network works best when states are equal to their inverse. This can be implemented by reversing states with a low-value first unit (forcing the first unit to always be the high value) and altering all other units to match, or by breaking the symmetry with a bias unit.
The Hopfield network works best when states are equal to their inverse. This can be implemented by reversing states with a low-value first unit (forcing the first unit to always be the high value) and altering all other units to match, or by breaking the symmetry with a bias unit.