This method of updating adjusts the learning rate allowing faster convergence to the global optimum with {HEAD ~ a reasonable number} of {TAIL ~ iterations} without adding unnecessary tuning parameters 
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This method of updating adjusts the learning rate allowing faster convergence to the global optimum with { HEAD ~ a reasonable number } of { TAIL ~ iterations } without adding unnecessary tuning parameters
OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH OTH HEAD HEAD HEAD HEAD HEAD HEAD HEAD REL TAIL TAIL TAIL TAIL TAIL OTH OTH OTH OTH OTH