Backpropagation Demystified: The Calculus That Powers Neural Networks
中文摘要
本文解析了驱动神经网络的反向传播及其背后的微积分原理，是机器学习数学系列的一部分。
English Summary
This article explains the calculus behind backpropagation, demystifying the mathematical process that powers neural networks.
原文节选
Math for Machine Learning — Series 2, Article 2 Continue reading on Medium »