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This project forked from kitian616/jekyll-text-theme
💎 A text first theme for Jekyll.
Home Page: https://tianqi.name/jekyll-TeXt-theme/
License: MIT License
加减法溢出,符号位一定会参与计算。例如,两正相加得负,所以直接检查符号位即可。乘法,如a*b=c。只需要检查c/b是否等于a即可
https://locusxt.github.io/2018/02/12/just-a-test.html#simple-test
github pages+jekyll+prose.iosimple test$\delta$int main(){ printf(
https://locusxt.github.io/2018/03/08/%E6%AD%A3%E5%88%99%E5%8C%96.html
过拟合解决方案 减少特征数量 正则化regularization。保留所有特征,减小特征的权重正则化线性回归正则化$min_\theta \dfrac{1}{2m} [\sum_{i=1}^m (h_\theta(x^{(i)}) - y^{(i)})^2 + \lambda \sum_{j=1}^n \t...
https://locusxt.github.io/2018/03/10/%E6%A2%AF%E5%BA%A6%E6%A3%80%E6%B5%8B.html
如何判断计算出的梯度是否正确:$\frac {\partial J(\theta)} {\partial \theta} \approx \frac{J(\theta + \epsilon) - J(\theta - \epsilon) }{2 \epsilon}$当$\epsilon$足够小时,实际上就是导数的定义
https://locusxt.github.io/2018/02/19/780.-Reaching-Points.html
https://locusxt.github.io/2018/03/07/%E6%A2%AF%E5%BA%A6%E4%B8%8B%E9%99%8D.html
符号表示样本个数: m特征个数: n第i个样本:
https://locusxt.github.io/2018/03/14/ml%E5%9F%BA%E6%9C%AC%E6%A6%82%E5%BF%B5.html
相似度余弦相似度:$\frac {A .* B}{|A||B|}$误差训练误差:训练集上的误差,其他类似其他相关系数
https://locusxt.github.io/2018/03/08/%E9%80%BB%E8%BE%91%E6%96%AF%E8%92%82%E5%9B%9E%E5%BD%92.html
定义sigmoid function = logistics function$g(z) = \frac {1} {1+e^{-z}}$,值域是(0,1)。sigmoid函数有重要性质:
https://locusxt.github.io/2018/02/19/780.-Reaching-Points.html
https://locusxt.github.io/about.html
Wind flows...
https://locusxt.github.io/2018/03/04/C++%E6%A8%A1%E6%9D%BF%E4%BD%BF%E7%94%A8.html
Map//定义 map <int, int> iimap; //迭代器 map <int, int>::iterator it; //判断key是否存在it = iimap.find(key); if (it != iimap.end()){ //存在}Vector//定义vector &...
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