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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 (300), and a program and apparatus (2; 4) 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 (300), to cause the at least one network (300) to generate at least one output indicative of either a detection or a non-detection of the predetermined content. Each neural network (300) 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 (300), based on the at least one output, to increase an accuracy at which that at least one neural network (300) detects the predetermined content indicated by the data.
机译:用于操作神经网络的方法(300),以及根据该方法操作的程序和装置(2; 4)。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导出的,指示预定内容的数据应用于至少一个神经网络(300)的输入,以使至少一个网络(300)产生至少一个表示检测到或未检测到预定内容的输出。每个神经网络(300)具有由至少一个对应参数指定的架构。所述方法还包括以下步骤:基于所述至少一个输出,演化所述至少一个参数以修改所述至少一个神经网络(300)的体系结构,以提高所述至少一个神经网络(300)的准确性。 )检测数据指示的预定内容。

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