也就是，曲线每一点上,垂直于曲线，模长为1的向量。
That means a vector that is at every point of the curve perpendicular to the curve and has length one.
它非常适合于象dna或者其它的数值数据之类的长的位向量。
It is perfectly suited for long bit vectors such as DNA or other numeric data.
也就是说，如果朝该方向运动，函数值变动得最剧烈，那么相应的斜率就是梯度向量的模长。
OK, so if I go in that direction, which gives me the fastest increase, then the corresponding slope will be the length of the gradient.
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