输出层偏导数：首先计算损失函数相对于输出层神经元输出的偏导数。这通常直接依赖于所选的损失函数。 This process can be as simple as updating several lines of code; it can also entail a major overhaul that's distribute across many files from the code. 在神经网络中，损失函数通常是一个复合函数，由多个层的输出和激活函数组合而成。链式法则允许我们将这个复杂的复合函数的梯度计算分解为一系列简单的... https://backpr07160.blogdanica.com/33954323/5-easy-facts-about-backpr-site-described