July 2018
Intermediate to advanced
310 pages
8h 21m
Chinese
Content preview from 深度学习入门 : 基于Python的理论与实现
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第 3章 神经网络
50
图3-9 ReLU 函数
5
4
3
2
1
−
1
0
−
6
−
4
−
2 0 2 4 6
这里使用了
NumPy
的
maximum
函数。
maximum
函数会从输入的数值中选
择较大的那个值进行输出。
本章剩余部分的内容仍将使用
sigmoid
函数作为激活函数，但在本书的
后半部分，则将主要使用
ReLU
函数。
3.3
多维数组的运算
如果掌握了
NumPy
多维数组的运算，就可以高效地实现神经网络。因此，
本节将介绍
NumPy
多维数组的运算，然后再进行神经网络的实现。
3.3.1
多维数组
简单地讲，多维数组就是“数字的集合”，数字排成一列的集合、排成
长方形的集合、排成三维状或者（更加一般化的）
N
维状的集合都称为多维数
组。下面我们就用
NumPy
来生成多维数组，先从前面介绍过的一维数组开始。
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