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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1.2 Python的安装
3
NumPy
是用于数值计算的库，提供了很多高级的数学算法和便利的数
组（矩阵）操作方法。本书中将使用这些便利的方法来有效地促进深度学习
的实现。
Matplotlib
是用来画图的库。使用
Matplotlib
能将实验结果可视化，并
在视觉上确认深度学习运行期间的数据。
本书将使用下列编程语言和库。
•
Python 3.
x
（2016 年8 月时的最新版本是3.5）
•
NumPy
•
Matplotlib
下面将为需要安装
Python
的读者介绍一下
Python
的安装方法。已经安
装了
Python
的读者，请跳过这一部分内容。
1.2.3
Anaconda发行版
Python
的安装方法有很多种，本书推荐使用
Anaconda
这个发行版。发
行版集成了必要的库，使用户可以一次性完成安装。
Anaconda
是一个侧重
于数据分析的发行版，前面说的
NumPy
、
Matplotlib
等有助于数据分析的
库都包含在其中
A
。
如前所述，本书将使用
Python
3.
x
版本，因此
Anaconda
发行版也要安
装 3.
x
的版本。请读者从官方网站下载与自己的操作系统相应的发行版，然
后安装。
A
Anaconda
作为一个针对数据分析的发行版，包含了许多有用的库，而本书中实际上只会使用其中的
NumPy
库和
Matplotlib
库。因此，如果想保持轻量级的开发环境，单独安装这两个库也是可以的。
——译者注
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.