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FEATURE-BASED SELECTIVE CONTROL OF A NEURAL NETWORK

机译:基于特征的神经网络选择控制

摘要

A method of controlling output of a neural network, the method including receiving or training the neural network; wherein the neural network is an application executed on a computer that receives input from sensors and provides an output comprising predictions and/or decisions based on the input, identifying a region of the neural network that contains information of interest, finding within the identified region a specific node or group of nodes that contains specific information of interest; and applying a manipulation application external to the neural network to operate on and alter the output of the specific node or group of nodes within the neural network; wherein the altered output of the specific node affects the output of the neural network without altering the input of the neural network.
机译:一种控制神经网络的输出的方法,该方法包括接收或训练该神经网络。其中,神经网络是在计算机上执行的应用程序,该应用程序从传感器接收输入,并基于该输入提供包含预测和/或决策的输出,标识包含感兴趣信息的神经网络区域,在标识的区域内找到包含感兴趣的特定信息的特定节点或一组节点;在神经网络外部应用操纵应用程序以对神经网络内的特定节点或节点组进行操作并更改其输出;其中,特定节点的更改后的输出会影响神经网络的输出,而不会更改神经网络的输入。

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