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$ $开始组$

Apologies for the lengthy title.My question is about the weight update rule for logistic regression using stochastic gradient descent.

I have just started experimenting on Logistic Regression.I came across two weight update expressions and did not know which one is more accurate and why they are different.

The first Method:

资料来源:(书)人工智能:诺维betway电竞格的现代方法,Russell,第726-727页:使用L2损耗功能:

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whereg stands for the logistic functiong' stands for g's derivativew stands for weighthw(x) represents the logistic regression hypothesis

The other method:

Source (Paper authored by Charles Elkan): Logistic Regression and Stochastic Gradient Training.

可以找到在这里

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