chapter2 How the backpropagation algorithm works
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反馈算法是如何工作的?
(主要章节)
1.矩阵(或向量)表示
2.代价函数的两个假设:(1)代价函数可写成所有单个训练样本x产生代价的平均;(2)可写成神经网络的输出函数
3.阿达码乘积Hadamard product: 向量对应元素相乘
4.反馈算法的四个基本等式:
5. 问题:Alternate presentation of the equations of backpropagation(不使用Hadamard乘积)
6.四个基本等式的证明
7.反馈算法
8.代码
9.反馈算法是否快?什么程度?it's actually much, much faster
10.Backpropagation: the big picture
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