Question: When a learning algorithm changes a network s parameters to improve performance ( i . e . , reduce error ) , it can sometimes

When a learning algorithm changes a network

s parameters to improve performance

(

.

.,

reduce error

),

it can sometimes find itself in a region of state space where the error surface does not allow any further reduction in error, even though performance is still far from perfect. This is called:

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