正在加载视频...
视频加载失败
When optimization problems have multiple minima, algorithms favor specific solutions due to their implicit bias. For ordinary least squares (OLS), gradient descent inherently converges to the minimal norm solution among all possible solutions.
0 条评论
暂无评论
原始帖子的评论将显示在这里
