2024 年 8 月

Backpropagation is a fundamental algorithm in training neural networks. Let’s break it down step by step:反向传播是训练神经网络的基本算法。让我们一步步来解析它: Imagine a simple neural network with three layers: input, hidden, and output.想象一个简单的三层神经网络:输入层、隐藏层和输出层。 Each circle represents a neuron, and the lines represent the connections (weights) between neurons.每个圆圈代表一个神经元,线条代表神经元之间的连接(权重)。 Data flows from left to right. Each neuron receives inputs, processes them, and