Differentiation: Gradients, Jacobians & Hessians Derivatives, partial derivatives, gradient…
中文摘要
本文探讨了梯度、雅可比与海森矩阵等微分技术，这些数学原理是训练各类 AI 模型的核心基础。
English Summary
This article explains how differentiation, including gradients and Jacobians, provides the fundamental mathematical basis for training all AI models.
Original Excerpt
The slope trick that trains every model you’ve ever used — from a single number to a whole matrix of them. Continue reading on Medium »