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The learning amount decay strategy -- also referred to as learning amount annealing or adaptive learning fee -- is the process of adapting the learning amount to boost general performance and reduce teaching time.Deep learning drives a lot of AI applications that Increase the way methods and instruments provide services, for example voice-enabled e