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.
Original Excerpt
Math for Machine Learning — Series 2, Article 2 Continue reading on Medium »