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Method, apparatus, and program for evolving neural network architectures to detect content in media information

机译:用于进化神经网络体系结构以检测媒体信息中内容的方法,装置和程序

摘要

A method for operating a neural network, and a program and apparatus that operate in accordance with the method. The method comprises the steps of applying data indicative of predetermined content, derived from an electronic signal including a representation of the predetermined content, to an input of at least one neural network, to cause the at least one network to generate at least one output indicative of either a detection or a non-detection of the predetermined content. Each neural network has an architecture specified by at least one corresponding parameter. The method also comprises a step of evolving the at least one parameter to modify the architecture of the at least one neural network, based on the at least one output, to increase an accuracy at which that at least one neural network detects the predetermined content indicated by the data.
机译:用于操作神经网络的方法以及根据该方法操作的程序和装置。该方法包括以下步骤:将从包括预定内容的表示的电子信号中得出的,表示预定内容的数据应用于至少一个神经网络的输入,以使至少一个网络生成至少一个指示输出的输出。检测到或未检测到预定内容。每个神经网络具有由至少一个相应参数指定的体系结构。该方法还包括以下步骤:基于至少一个输出,演化至少一个参数以修改至少一个神经网络的体系结构,以提高至少一个神经网络检测到所指示的预定内容的准确性。通过数据。

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