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The learning amount decay method -- also called learning charge annealing or adaptive learning amount -- is the whole process of adapting the learning level to boost functionality and lower teaching time.This technique makes an attempt to unravel the situation of overfitting in networks with big amounts of parameters by randomly dropping units as w