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深度学习入门 : 基于Python的理论与实现
book

深度学习入门 : 基于Python的理论与实现

by 斋藤康毅
July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Posts & Telecom Press
Content preview from 深度学习入门 : 基于Python的理论与实现
5章 误差反向传播法
124
综上,用计算图解题的情况下,需要按如下流程进行。
1. 构建计算图。
2. 在计算图上,从左向右进行计算。
这里的第2 歩“从左向右进行计算”是一种正方向上的传播,简称为
向传播
forward propagation
)。正向传播是从计算图出发点到结束点的传播。
既然有正向传播这个名称,当然也可以考虑反向(从图上看的话,就是从右向左)
的传播。实际上,这种传播称为反向传播
backward propagation
)。反向传
播将在接下来的导数计算中发挥重要作用。
5.1.2
 局部计算
计算图的特征是可以通过传递“局部计算”获得最终结果。“局部”这个
词的意思是“与自己相关的某个小范围”。局部计算是指,无论全局发生了什么,
都能只根据与自己相关的信息输出接下来的结果。
我们用一个具体的例子来说明局部计算。比如,在超市买了2 个苹果和
其他很多东西。此时,可以画出如图5
-
4 所示的计算图。
5-4 买了2 个苹果和其他很多东西的例子
×
+
100
200
2
1.1
苹果的个数
消费税
×
4620
4200
4000
其他很多东西
复杂的计算
如图5
-
4 所示,假设(经过复杂的计算)购买的其他很多东西总共花费
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Publisher Resources

ISBN: 9787115485588