深度学习AI环境Anaconda等搭建

爱被打了一巴掌 2022-12-22 06:16 229阅读 0赞

## 名词简介 ##

### Anaconda ###

Anaconda \[ˌænəˈkɒndə\]指的是**一个开源的[Python][]发行版本**，其包含了conda、Python等180多个**科学包**及其依赖项。

### keras ###

Keras是一个**由[Python][Python 1]编写的开源[人工神经网络][Link 1]库**，可以作为[Tensorflow][]、Microsoft-CNTK和Theano的高阶[应用程序接口][Link 2]，进行[深度学习][Link 3]模型的设计、调试、评估、应用和可视化

### tensorflow ###

TensorFlow™ \[ˈtensə®\]是一个**基于[数据流编程][Link 4]（dataflow programming）的符号数学系统**，被广泛应用于各类[机器学习][Link 5]（machine learning）算法的编程实现，其前身是[谷歌][Link 6]的神经网络算法库DistBelief \[1\] 。它由 Google 开发，并在图形分类、音频处理、推荐系统和自然语言处理等场景下有着丰富的应用，是目前最热门的机器学习框架http://c.biancheng.net/tensorflow/

### Opencv ###

OpenCV是一个基于BSD许可（开源）发行的跨平台计算机视觉库，可以运行在Linux、Windows、Android和Mac OS操作系统上。它轻量级而且高效——由一系列 C 函数和少量 C++ 类[构成][Link 7]，同时提供了Python、Ruby、MATLAB等语言的接口，**实现了[图像处理][Link 8]和计算机视觉方面的很多通用算法**

### pytorch ###

2017年1月，由[Facebook][]人工智能研究院（FAIR）基于Torch推出了PyTorch \[tɔːrtʃ\]。它是一个**基于Python的可续计算包**，提供两个高级功能：1、具有强大的GPU加速的张量计算（如NumPy）。2、包含自动求导系统的的深度神经网络

## 环境的安装 ##

Anaconda安装，keras,tensorflow安装：https://blog.csdn.net/qq\_41760767/article/details/97441967

https://repo.anaconda.com/archive/Anaconda3-5.2.0-Windows-x86\_64.exe

Opencv安装：https://www.cnblogs.com/jisongxie/p/10248550.html

pytorch安装：https://www.cnblogs.com/wzw0625/p/11963482.html

### pip命令的使用 ###

https://www.cnblogs.com/xueweihan/p/4981704.html

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center]

**-------------------------------以下为搭建环境的详细过程---------------------------------**

### Anaconda安装 ###

1.  官网下载地址：https://www.anaconda.com/products/individual，本人安装Anaconda3-5.2.0-Windows-x86\_64.exe的版本，版本对应
    
    ![img][]
2.  除了环境变量勾选一下其他一直下一步，若弹出vscode就是一个编辑器，随意了跳过就行

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 1]

3.安装完成后查看是否安装成功。比如有的人手贱点了vscode安装最后由于网络等原因后面导致安装没有反应了，半天安装条进度没有变化，这个时候你可以通过如下几种方式看看是否安装成功https://baijiahao.baidu.com/s?id=1616120886763657106&wfr=spider&for=pc

点击“开始” —— “Anaconda3（64-bit）” —— “右键点击Anaconda Prompt” —— 点击“以管理员身份运行”，在Anaconda Prompt中输入conda list，可以查看已经安装的包名和版本号。如果结果可以正常显示，则说明安装成功

### 建立TensorFlow的Anaconda环境 ###

1.  建立一个工作目录，就是一个文件夹，怎么建什么名字你喜欢就好
2.  cmd到工作目录下执行命令：
    
        conda create --name tensorFlow python=3.5 anaconda
3.  可以要等待一会出现下面的界面，选择y继续安装 ，安装时间可能较长请等待~,下面的进度条在动就行  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 2]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 3]
4.  安装完成

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 4]

### 安装TensorFlow ###

#### 安装 ####

1.  cmd到pythonwork工作目录执行命令
    
        activate tensorFlow

![在这里插入图片描述][20201118102651496.png_pic_center]

1.  继续执行命令
    
        pip install tensorFlow
    
    安装失败请移步后面的安装失败

#### 安装失败 ####

##### pip版本原因 #####

#####  #####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 5]

1.  大概是pip版本低导致的，我们先按照建议执行命令
    
        python -m pip install --upgrade pip
2.  哦豁不行还是一样的错误
    
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 6]
3.  换一个命令更新
    
        python -m pip install -U pip
4.  等待pip安装成功。查看下pip的版本,之前是10.0.1现在是，看来确实升级成功了
    
        pip -V
    
    ![在这里插入图片描述][20201118102848600.png_pic_center]

##### 换个安装地址加速 #####

由于网络原因等了一万年还是失败了，建议pip下载源为国内镜像库，这里就不修改了手动使用下豆瓣的镜像库安装tensorflow其他加速

清华大学 https://pypi.tuna.tsinghua.edu.cn/simple/

阿里云 http://mirrors.aliyun.com/pypi/simple/

中国科技大学 [https://pypi.mirrors.ustc.edu.cn/simple/][https_pypi.mirrors.ustc.edu.cn_simple]

豆瓣(douban) http://pypi.douban.com/simple/

中国科学技术大学 http://pypi.mirrors.ustc.edu.cn/simple/

pip install tensorflow -i https://pypi.douban.com/simple

快到飞起但是装完后还是有报错

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 7]

会不会还是网络原因，再试一遍

我擦报错少了一个，再试一遍,我擦报错又少了一个

还是看看安装成功了没把

pip list

没有tensorflow~，安装失败了，继续战斗吧，使用强制安装命令试一下

pip install --ignore-installed <库名>

pip install --ignore-installed tensorflow -i https://pypi.douban.com/simple

还是报错

![在这里插入图片描述][2020111810292682.png_pic_center]

看来这个模块必须得安装，那就先安装了试下

pip install msgpack-python
    
    pip install msgpack

pip list看下 ok系统提示缺的已经装了  
![在这里插入图片描述][20201118102946602.png_pic_center]

再执行之前安装tensorflow的命令试一下

pip install tensorflow -i https://pypi.douban.com/simple

挖草

![在这里插入图片描述][20201118103002321.png_pic_center]

是成功了吗？pip list 好像成功拉！

![在这里插入图片描述][20201118103014960.png_pic_center]

后面发现版本和python版本不对应需要卸载后重装同时最好把附带的一些库也卸了（tensorboard、tensorflow- estimator之类与tensorflow相关的库），我的python版本是3.6.5对应的是1.6.0具体可查看后面的python对应的tensorflow版本

pip uninstall tensorflow tensorboard tensorflow-estimator

pip  install  -i  https://pypi.doubanio.com/simple/  --trusted-host pypi.doubanio.com  tensorflow==2.0.0

##### tensorflow版本问题 #####

由于版本问题后面会导致导入包失败，看看安装了对应的python版本的tf没有的话需要卸载重写安装

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 8]

##### 卸载tensorflow #####

pip uninstall tensorflow tensorboard tensorflow-estimator gast

### 安装Keras ###

#### 安装 ####

cmd到pythonwork工作目录执行命令

pip install keras

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 9]

#### keras版本问题 ####

![åœ¨è¿™é‡Œæ’å¥å›¾ç‰‡æè¿°][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NTgxMjk5OA_size_16_color_FFFFFF_t_70]

### py-tf-keras版本对应图 ###

https://docs.floydhub.com/guides/environments/

<table> 
 <thead> 
  <tr> 
   <th align="left"></th> 
   <th align="left"></th> 
   <th align="left"></th> 
   <th align="left"></th> 
   <th align="left"></th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td align="left">Framework</td> 
   <td align="left">Env name (–env parameter)</td> 
   <td align="left">Description</td> 
   <td align="left">Docker Image</td> 
   <td align="left">Packages and Nvidia Settings</td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 2.1</td> 
   <td align="left">tensorflow-2.1</td> 
   <td align="left">TensorFlow 2.1.0 + Keras 2.3.1 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-21" rel="nofollow">TensorFlow-2.1</a></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 2.0</td> 
   <td align="left">tensorflow-2.0</td> 
   <td align="left">TensorFlow 2.0.0 + Keras 2.3.1 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-20" rel="nofollow">TensorFlow-2.0</a></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.15</td> 
   <td align="left">tensorflow-1.15</td> 
   <td align="left">TensorFlow 1.15.0 + Keras 2.3.1 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-115" rel="nofollow">TensorFlow-1.15</a></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.14</td> 
   <td align="left">tensorflow-1.14</td> 
   <td align="left">TensorFlow 1.14.0 + Keras 2.2.5 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-114" rel="nofollow">TensorFlow-1.14</a></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.13</td> 
   <td align="left">tensorflow-1.13</td> 
   <td align="left">TensorFlow 1.13.0 + Keras 2.2.4 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-113" rel="nofollow">TensorFlow-1.13</a></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.12</td> 
   <td align="left">tensorflow-1.12</td> 
   <td align="left">TensorFlow 1.12.0 + Keras 2.2.4 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-112" rel="nofollow">TensorFlow-1.12</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.12:py2</td> 
   <td align="left">TensorFlow 1.12.0 + Keras 2.2.4 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.11</td> 
   <td align="left">tensorflow-1.11</td> 
   <td align="left">TensorFlow 1.11.0 + Keras 2.2.4 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-111" rel="nofollow">TensorFlow-1.11</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.11:py2</td> 
   <td align="left">TensorFlow 1.11.0 + Keras 2.2.4 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.10</td> 
   <td align="left">tensorflow-1.10</td> 
   <td align="left">TensorFlow 1.10.0 + Keras 2.2.0 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-110" rel="nofollow">TensorFlow-1.10</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.10:py2</td> 
   <td align="left">TensorFlow 1.10.0 + Keras 2.2.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.9</td> 
   <td align="left">tensorflow-1.9</td> 
   <td align="left">TensorFlow 1.9.0 + Keras 2.2.0 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-19" rel="nofollow">TensorFlow-1.9</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.9:py2</td> 
   <td align="left">TensorFlow 1.9.0 + Keras 2.2.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.8</td> 
   <td align="left">tensorflow-1.8</td> 
   <td align="left">TensorFlow 1.8.0 + Keras 2.1.6 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-18" rel="nofollow">TensorFlow-1.8</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.8:py2</td> 
   <td align="left">TensorFlow 1.8.0 + Keras 2.1.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.7</td> 
   <td align="left">tensorflow-1.7</td> 
   <td align="left">TensorFlow 1.7.0 + Keras 2.1.6 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-17" rel="nofollow">TensorFlow-1.7</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.7:py2</td> 
   <td align="left">TensorFlow 1.7.0 + Keras 2.1.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.5</td> 
   <td align="left">tensorflow-1.5</td> 
   <td align="left">TensorFlow 1.5.0 + Keras 2.1.6 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/tensorflow/#tensorflow-15" rel="nofollow">TensorFlow-1.5</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.5:py2</td> 
   <td align="left">TensorFlow 1.5.0 + Keras 2.1.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.4</td> 
   <td align="left">tensorflow-1.4</td> 
   <td align="left">TensorFlow 1.4.0 + Keras 2.0.8 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.4:py2</td> 
   <td align="left">TensorFlow 1.4.0 + Keras 2.0.8 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.3</td> 
   <td align="left">tensorflow-1.3</td> 
   <td align="left">TensorFlow 1.3.0 + Keras 2.0.6 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.3:py2</td> 
   <td align="left">TensorFlow 1.3.0 + Keras 2.0.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.2</td> 
   <td align="left">tensorflow-1.2</td> 
   <td align="left">TensorFlow 1.2.0 + Keras 2.0.6 on Python 3.5.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.2:py2</td> 
   <td align="left">TensorFlow 1.2.0 + Keras 2.0.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.1</td> 
   <td align="left">tensorflow</td> 
   <td align="left">TensorFlow 1.1.0 + Keras 2.0.6 on Python 3.5.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow:py2</td> 
   <td align="left">TensorFlow 1.1.0 + Keras 2.0.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 1.0</td> 
   <td align="left">tensorflow-1.0</td> 
   <td align="left">TensorFlow 1.0.0 + Keras 2.0.6 on Python 3.5.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-1.0:py2</td> 
   <td align="left">TensorFlow 1.0.0 + Keras 2.0.6 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">TensorFlow 0.12</td> 
   <td align="left">tensorflow-0.12</td> 
   <td align="left">TensorFlow 0.12.1 + Keras 1.2.2 on Python 3.5.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">tensorflow-0.12:py2</td> 
   <td align="left">TensorFlow 0.12.1 + Keras 1.2.2 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/tensorflow/" rel="nofollow">floydhub/tensorflow</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 1.4</td> 
   <td align="left">pytorch-1.4</td> 
   <td align="left">PyTorch 1.4.0 + fastai 1.0.60 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-14" rel="nofollow">PyTorch-1.4</a></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 1.3</td> 
   <td align="left">pytorch-1.3</td> 
   <td align="left">PyTorch 1.3.0 + fastai 1.0.60 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-13" rel="nofollow">PyTorch-1.3</a></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 1.2</td> 
   <td align="left">pytorch-1.2</td> 
   <td align="left">PyTorch 1.2.0 + fastai 1.0.60 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-12" rel="nofollow">PyTorch-1.2</a></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 1.1</td> 
   <td align="left">pytorch-1.1</td> 
   <td align="left">PyTorch 1.1.0 + fastai 1.0.57 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-11" rel="nofollow">PyTorch-1.1</a></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 1.0</td> 
   <td align="left">pytorch-1.0</td> 
   <td align="left">PyTorch 1.0.0 + fastai 1.0.51 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-10" rel="nofollow">PyTorch-1.0</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">pytorch-1.0:py2</td> 
   <td align="left">PyTorch 1.0.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 0.4</td> 
   <td align="left">pytorch-0.4</td> 
   <td align="left">PyTorch 0.4.1 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-04" rel="nofollow">PyTorch-0.4</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">pytorch-0.4:py2</td> 
   <td align="left">PyTorch 0.4.1 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 0.3</td> 
   <td align="left">pytorch-0.3</td> 
   <td align="left">PyTorch 0.3.1 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"><a href="https://docs.floydhub.com/guides/pytorch/#pytorch-03" rel="nofollow">PyTorch-0.3</a></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">pytorch-0.3:py2</td> 
   <td align="left">PyTorch 0.3.1 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 0.2</td> 
   <td align="left">pytorch-0.2</td> 
   <td align="left">PyTorch 0.2.0 on Python 3.5</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">pytorch-0.2:py2</td> 
   <td align="left">PyTorch 0.2.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">PyTorch 0.1</td> 
   <td align="left">pytorch-0.1</td> 
   <td align="left">PyTorch 0.1.12 on Python 3.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">pytorch-0.1:py2</td> 
   <td align="left">PyTorch 0.1.12 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/pytorch/" rel="nofollow">floydhub/pytorch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">Theano 0.9</td> 
   <td align="left">theano-0.9</td> 
   <td align="left">Theano rel-0.8.2 + Keras 2.0.3 on Python3.5.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/theano/" rel="nofollow">floydhub/theano</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">theano-0.9:py2</td> 
   <td align="left">Theano rel-0.8.2 + Keras 2.0.3 on Python2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/theano/" rel="nofollow">floydhub/theano</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">Caffe</td> 
   <td align="left">caffe</td> 
   <td align="left">Caffe rc4 on Python3.5.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/caffe/" rel="nofollow">floydhub/caffe</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">caffe:py2</td> 
   <td align="left">Caffe rc4 on Python2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/caffe/" rel="nofollow">floydhub/caffe</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">Torch</td> 
   <td align="left">torch</td> 
   <td align="left">Torch 7 with Python 3 env.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/torch/" rel="nofollow">floydhub/torch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">torch:py2</td> 
   <td align="left">Torch 7 with Python 2 env.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/torch/" rel="nofollow">floydhub/torch</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">Chainer 1.23</td> 
   <td align="left">chainer-1.23</td> 
   <td align="left">Chainer 1.23.0 on Python 3.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/chainer/" rel="nofollow">floydhub/chainer</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">chainer-1.23:py2</td> 
   <td align="left">Chainer 1.23.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/chainer/" rel="nofollow">floydhub/chainer</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">Chainer 2.0</td> 
   <td align="left">chainer-2.0</td> 
   <td align="left">Chainer 1.23.0 on Python 3.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/chainer/" rel="nofollow">floydhub/chainer</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">chainer-2.0:py2</td> 
   <td align="left">Chainer 1.23.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/chainer/" rel="nofollow">floydhub/chainer</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left">MxNet 1.0</td> 
   <td align="left">mxnet</td> 
   <td align="left">MxNet 1.0.0 on Python 3.6.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/mxnet/" rel="nofollow">floydhub/mxnet</a></td> 
   <td align="left"></td> 
  </tr> 
  <tr> 
   <td align="left"></td> 
   <td align="left">mxnet:py2</td> 
   <td align="left">MxNet 1.0.0 on Python 2.</td> 
   <td align="left"><a href="https://hub.docker.com/r/floydhub/mxnet/" rel="nofollow">floydhub/mxnet</a></td> 
   <td align="left"></td> 
  </tr> 
 </tbody> 
</table>

### jupyter notebook的使用 ###

##### 启动jupyter notebook #####

1.  切换到pythonwork
2.  并启动tensorFlow的Anaconda的虚拟环境 ,分别执行以下命令
    
        1.activate tensorFlow
        2.jupyter notebook
3.  启动成功后弹出jupyter的网页

##### 建立新的notebook #####

1.  点击New按钮后选择Python3
2.  点击Untitled修改其名称,输入名的名称…

##### jupyter notebook输入命令的形式 #####

*  Shift+Enter:执行后，光标会移动到下一个程序单元格
 *  Ctrl+Enter:执行后，光标仍在当前的程序单元格

##### 导入TensorFlow模块 #####

在程序单元格中输入：

import tensorflow as tf

##### 查看TensorFlow版本 #####

tf.__version__

##### 导入Keras模块 #####

import keras

##### 查看Keras板本 #####

keras.__version__

##### 保存Notebook #####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 10]

##### 关闭Notebook #####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 11]

##### 打开之前保存的Notebook #####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 12]

##### 关闭Jupyter浏览器 #####

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 13]

##### 关闭Jupyter Notebook #####

关闭浏览器后，回到命令提示窗口，按Ctrl+C组合键即可关闭Jupyter Notebook程序

### anaconda安装opencv ###

#### 安装 ####

cmd中执行命令

pip install opencv-python

#### 查看已经安装的opencv ####

conda search opencv

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 14]

### 安装pytorch ###

#### 安装 ####

1.  进入anaconda prompt
2.  建立名为PyTorch的虚拟环境
    
        conda create --name PyTorch python=3.6
3.  激活PyTorch虚拟环境
    
        activate PyTorch
4.  安装PyTorch，官网地址：\*\*https://pytorch.org/get-started/locally/\*\*选择Windows、Pip、Python 3.6、None CUDA环境，然后在Anaconda Prompt下名为PyTorch虚拟环境下执行下面的命令

pip install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

失败了~后面用pip3成功了

pip3 install torch==1.5.0+cpu torchvision==0.6.0+cpu -f https://download.pytorch.org/whl/torch_stable.html

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 15]

[Python]: https://baike.baidu.com/item/Python
[Python 1]: https://baike.baidu.com/item/Python/407313
[Link 1]: https://baike.baidu.com/item/%E4%BA%BA%E5%B7%A5%E7%A5%9E%E7%BB%8F%E7%BD%91%E7%BB%9C/382460
[Tensorflow]: https://baike.baidu.com/item/Tensorflow/18828108
[Link 2]: https://baike.baidu.com/item/%E5%BA%94%E7%94%A8%E7%A8%8B%E5%BA%8F%E6%8E%A5%E5%8F%A3/10418844
[Link 3]: https://baike.baidu.com/item/%E6%B7%B1%E5%BA%A6%E5%AD%A6%E4%B9%A0/3729729
[Link 4]: https://baike.baidu.com/item/%E6%95%B0%E6%8D%AE%E6%B5%81%E7%BC%96%E7%A8%8B/22735640
[Link 5]: https://baike.baidu.com/item/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0/217599
[Link 6]: https://baike.baidu.com/item/%E8%B0%B7%E6%AD%8C/117920
[Link 7]: https://baike.baidu.com/item/%E6%9E%84%E6%88%90/103686
[Link 8]: https://baike.baidu.com/item/%E5%9B%BE%E5%83%8F%E5%A4%84%E7%90%86/294902
[Facebook]: https://baike.baidu.com/item/Facebook/7449587
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[img]: https://img-blog.csdnimg.cn/20181206192121949.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 1]: https://img-blog.csdnimg.cn/20201118102311964.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0,size_16,color_FFFFFF,t_70#pic_center
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[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 3]: https://img-blog.csdnimg.cn/20201118102620556.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0,size_16,color_FFFFFF,t_70#pic_center
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 4]: https://img-blog.csdnimg.cn/20201118102636816.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0,size_16,color_FFFFFF,t_70#pic_center
[20201118102651496.png_pic_center]: https://img-blog.csdnimg.cn/20201118102651496.png#pic_center
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0_size_16_color_FFFFFF_t_70_pic_center 5]: https://img-blog.csdnimg.cn/20201118102757663.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzM3Njg4NjM0,size_16,color_FFFFFF,t_70#pic_center
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[20201118102848600.png_pic_center]: https://img-blog.csdnimg.cn/20201118102848600.png#pic_center
[https_pypi.mirrors.ustc.edu.cn_simple]: https://pypi.mirrors.ustc.edu.cn/simple/
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[2020111810292682.png_pic_center]: https://img-blog.csdnimg.cn/2020111810292682.png#pic_center
[20201118102946602.png_pic_center]: https://img-blog.csdnimg.cn/20201118102946602.png#pic_center
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