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View Code? Open in Web Editor NEWA simple implementation of gradient descent in c++
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target很大的时候算法就停止了
您好,这里是机器学习初学者.
自己编了一组数据跑了一下代码,x是[0, 1]区间内2维的随机数,y[i]是x[i][0] + x[i][1]>1?1:0,一共一千组
看过代码之后觉得target应该是2范数的距离
实际测试的时候target从500降到475.767就停止了,这个算法的效果是不是不太好?
(PS:我昨天自己实现了一下算法,代价函数使用的是Ng CS229的ylog(y^) + (1-y)log(y^),也出现类似误差减小到某一范围后不再减小的问题.很想请问这是固定学习率的通病吗)
谢谢赐教~
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