Given a convex cost function, using SGD for optimization, we will have a gradient (vector) at a certain point during the optimization process. Given a convex cost function, using SGD for opt
阅读背景：
对于凸问题，随机梯度下降（SGD）中的梯度是否始终指向全局极值？
来源：互联网
分享到：
