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Method and apparatus for improving resilience in customized program learning network computational environments
Method and apparatus for improving resilience in customized program learning network computational environments
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机译:在定制程序学习网络计算环境中提高弹性的方法和装置
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摘要
An apparatus and a method are provided for learning a program with a large number of parameters. In one embodiment, a method not only distorts the input values, but also distorts some of the parameters in the program model. Such an approach not only forces the learned program to acquire parameter values to predict missing or desired data, but also to correct errors in the input data and the program parameters themselves, thereby rendering the learned program more resilient to overfitting and falling into local optima.
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