澄清感知器的偏见 [英] Clarification on bias of a perceptron
本文介绍了澄清感知器的偏见的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
如果不存在偏差,通过原点的线应该能够线性分离两个数据集,这不是真的吗?
Isn't it true that if a bias is not present, a line passing through origin should be able to linearly separate the two data sets??
但这是最受欢迎的答案->> 问题说
But the most popular answer in this -->> question says
y
^
| - + \\ +
| - +\\ + +
| - - \\ +
| - - + \\ +
---------------------> x
stuck like this
对此我感到困惑.您是说上图中的原点在x轴和y轴的中间吗?有人可以帮我澄清一下吗?
I am confused about it. Do you mean the origins in figure above are somewhere in middle of x-axis and y-axis? Can somebody please help me and clarify this?
推荐答案
好的,所以原始ASCII图是并非100%准确!让我尝试再次描述一下:
Alright, so perhaps the original ASCII graph was not 100% accurate! Let me try to depict this again:
y y
^ ^
- + \\ | + -\\+ | +
- +\\ | + + - \\ + | + +
- - \\ | + - - \\ | +
- - + \\| + - - \\+ | +
------------------------> x ---------------------------> x
- - |\\ + - - \\ | +
- - + | \\ + - - \\ + | +
- - - | \\ + + - - -\\ | + +
-- - - | +\\ ++ -- - - \\ | + ++
stuck like this needs to get like this
y = ax y = ax + b
(w0*x + w1*y = 0) (w0*x + w1*y + w2*1 = 0)
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