XOR 问题可以用 2x2x1 神经网络无偏差解决吗? [英] XOR problem solvable with 2x2x1 neural network without bias?

问题描述

如果没有偏差，具有 2 个输入节点、2 个隐藏节点和一个输出的神经网络是否应该能够解决 XOR 问题?还是会卡住?

Is a Neural network with 2 input nodes, 2 hidden nodes and an output supposed to be able to solve the XOR problem provided there is no bias? Or can it get stuck?

推荐答案

保留偏差.它不会看到您输入的值.

Leave the bias in. It doesn't see the values of your inputs.

就一对一的类比而言，我喜欢将偏差视为直线方程中的偏移 c 值:y = mx + c;它为您的系统增加了一个独立的自由度，不受网络输入的影响.

In terms of a one-to-one analogy, I like to think of the bias as the offsetting c-value in the straight line equation: y = mx + c; it adds an independent degree of freedom to your system that is not influenced by the inputs to your network.

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