During operation as the solution approaches a local minimum, because the error does not approach zero, the ratio of the error gradient to the norm squared of the error gradient will approach infinity causing the weights to jump in {HEAD ~ magnitude} thus moving away from {TAIL ~ the local minimum} 
moving away from
During operation as the solution approaches a local minimum , because the error does not approach zero , the ratio of the error gradient to the norm squared of the error gradient will approach infinity causing the weights to jump in { HEAD ~ magnitude } thus moving away from { TAIL ~ the local minimum }
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