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算法3.3 参数更新的符号问题
这里个人觉得应该是减号,否则使用梯度下降的话,梯度为(预测-label),损失函数就变成(预测-label)*W,恒小于0,正确率越高则loss越趋近于0(loss越大),不符合梯度下降结果。
此外在证明广义感知器收敛性上界中无法放缩(也是在做题时才发现这个问题):
因为
若为图中所示加号,则最后一项恒大于0,是无法放缩到下一步的,因此只有在减号情况下才可以放缩
The text was updated successfully, but these errors were encountered: