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Neural networks are typically trained through empirical risk minimization.This method is based on the idea of optimizing the network's parameters to minimize the difference, or empirical risk, between the predicted output and the actual target values in a given dataset. [4]
[1] [2] [3] When evaluated on the actual data points, it becomes a function solely of the model parameters. In maximum likelihood estimation , the argument that maximizes the likelihood function serves as a point estimate for the unknown parameter, while the Fisher information (often approximated by the likelihood's Hessian matrix at the ...
Ajax Duckman, in the animated television series Duckman; Marvel Comics: Ajax the Greater, another name for Ajak, one of the Eternals from Marvel Comics; Ajax the Lesser, another name for Arex, one of the Eternals from Marvel Comics