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如何制作一个神经网络,使某些输入变量比其他变量“更重要”。例如,假设我的输入层有 2 个神经元,我想强调输入的一个神经元重要 70%,而另一个仅重要 30%,因为虽然从公式角度来看,它们测量的是相同的东西,但第一个神经元对最终结果的贡献比其他神经元更大。像称量 sample 之类的东西,只是我想在全局范围内对各个输入进行称量。
这可能/有意义吗?
最佳答案
查看本教程 How to measure importance of inputs?
Terms such as "importance," "saliency," and "sensitivity" do not have precise, widely-accepted meanings. This answer will discuss a variety of methods that have been proposed to measure the importance of inputs, but the list is by no means exhaustive. Different measures of importance are likely to be useful in different applications of neural nets. The main point of this answer is that there is no single measure of importance that is appropriate for all applications.
关于python - 神经网络的加权输入,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/11801865/
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