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 {HEAD ~ infinity} causing {TAIL ~ the weights} to jump in magnitude thus moving away from the local minimum 
causing
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 { HEAD ~ infinity } causing { TAIL ~ the weights } to jump in magnitude thus moving away from the local minimum
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