New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

梯度下降法 #6

Open

Vernlium opened this issue Apr 18, 2018 · 0 comments

Owner

Vernlium commented Apr 18, 2018 •

edited

Loading

用于训练模型的迭代方法

回归问题产生的损失与权重图为凸形

梯度下降法的起点

梯度下降法依赖于负梯度

一个梯度步长将我们移动到损失曲线上的下一个点

计算方向

局部最小值与全局最小值

三维全局最小值和局部最小值

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment