How Neural Networks Actually Learn: Gradient Descent, Backpropagation, the Chain Rule, and SGD
中文摘要
神经网络学习：梯度下降、反向传播、链式法则、SGD。原理到Python实践。
English Summary
This guide explains how neural networks learn, covering gradient descent, backpropagation, the chain rule, and SGD. It offers a complete overview from fundamental principles to Python implementation.
Original Excerpt
A Complete Guide From First Principles to Python Implementation Continue reading on Medium »