$$ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Self-defined math definitions %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % Math symbol commands \newcommand{\intd}{\,{\rm d}} % Symbol 'd' used in integration, such as 'dx' \newcommand{\diff}{{\rm d}} % Symbol 'd' used in differentiation ... $$
摘要: 1.梯度下降法 1.1梯度 在微积分里面,对多元函数的参数求∂偏导数,把求得的各个参数的偏导数以向量的形式写出来,就是梯度。比如函数f(x,y), 分别对x,y求偏导数,求得的梯度向量就是(∂f/∂x, ∂f/∂y)T,简称grad f(x,y)或者▽f(x,y)。 微积分中使用梯度表示函数增长最快 阅读全文
posted @ 2019-05-21 22:07 V丶vvv 阅读(441) 评论(0) 推荐(0) 编辑