Gradient Descent vs Newton-Raphson: The Simplest Explanation
中文摘要
本文简要解释了机器学习中梯度下降法与牛顿-拉夫森法在优化路径上的区别。
English Summary
This article simply explains the difference between Gradient Descent and the Newton-Raphson method for optimization in machine learning.
Original Excerpt
Some machine learning algorithms take thousands of tiny steps to learn, while others seem to jump almost directly to the answer? Let’s… Continue reading on Medium »