机器学习入门(4)：Ubuntu如何在Jupyter Notebook导入Tensorflow

我们先进入到tf1这个虚拟环境

(1)激活环境

source activate tf1

(2)查看有哪些库

conda list

source deactivate tf1

遇到问题：

ubuntu 遇到鼠标变为十字 无法点击的问题

原因：我在终端输入python，然后输入import tensorflow as tf，然后打开jupyter notebook。鼠标根本就动不了！

参考https://blog.youkuaiyun.com/qq_42393859/article/details/85247935

遇到之后请Ctrl + Alt + F1切到命令行界面下，然后输入命令

ps -e | grep import

kill -9 21526(import的进程)

在ctrl + alt + F7切回gnome下，然后重新登录即可

之后问题解决。

(3)依次执行以下命令

1.(tf1) rookie@ubuntu:~$ conda install ipython

结果：

Downloading and Extracting Packages

。。。（省略）

ipython-6.1.0 | 1013 KB | ################################################################################################################################################################# | 100%

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

2.(tf1) rookie@ubuntu:~$ conda install jupyter

结果如下：

_libgcc_mutex-0.1 | 3 KB | ################################################################################################################################################################# | 100%

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

3.(tf1) rookie@ubuntu:~$ ipython kernelspec install-self --user

(tf1) rookie@ubuntu:~$ ipython kernelspec install-self --user

[TerminalIPythonApp] WARNING | Subcommand `ipython kernelspec` is deprecated and will be removed in future versions.

[TerminalIPythonApp] WARNING | You likely want to use `jupyter kernelspec` in the future

[InstallNativeKernelSpec] WARNING | `jupyter kernelspec install-self` is DEPRECATED as of 4.0. You probably want `ipython kernel install` to install the IPython kernelspec.

[InstallNativeKernelSpec] Installed kernelspec python3 in /home/rookie/.local/share/jupyter/kernels/python3

4.(tf1) rookie@ubuntu:~$ mv ~/.local/share/jupyter/kernels/python3 ~/.ipython/kernels/tfkernel

(tf1) rookie@ubuntu:~$ ipython kernelspec install-self --user

[TerminalIPythonApp] WARNING | Subcommand `ipython kernelspec` is deprecated and will be removed in future versions.

[TerminalIPythonApp] WARNING | You likely want to use `jupyter kernelspec` in the future

[InstallNativeKernelSpec] WARNING | `jupyter kernelspec install-self` is DEPRECATED as of 4.0. You probably want `ipython kernel install` to install the IPython kernelspec.

[InstallNativeKernelSpec] Installed kernelspec python3 in /home/rookie/.local/share/jupyter/kernels/python3

我这里得到的结果（1）是Installed kernelspec python3 in /home/rookie/.local/share/jupyter/kernels/python3

5.(tf1) rookie@ubuntu:~$ mkdir -p ~/.ipython/kernels

然后运行下边的命令，使用你选择的名字来代替<kernel_name>（我使用的tfkernel），并且刚才得到的结果（1）路径(例如，~/.local/share/jupyter/kernels/python3)来替换下方命令中的第一个路径。

mv ~/.local/share/jupyter/kernels/pythonX ~/.ipython/kernels/<kernel_name>

6.(tf1) rookie@ubuntu:~$ mv ~/.local/share/jupyter/kernels/python3 ~/.ipython/kernels/tfkernel

7.现在，打开Jupyter Notebook，选择Kernel -> Change kernel，你将看到一个新的kernel。但是，新的kernel与你之前的kernel拥有相同点名字，运行下边的命令，给你的新kernel起一个不同的名字。cd ~/.ipython/kernels/tfkernel/。接着，运行vim kernel.json来编辑kernel.json文件，将"display_name"中的默认值Python 3替换为你的新名字，然后保存，并退出。

(tf1) rookie@ubuntu:~$ cd ~/.ipython/kernels/tfkernel/

(tf1) rookie@ubuntu:~/.ipython/kernels/tfkernel$ vim kernel.json

(tf1) rookie@ubuntu:~/.ipython/kernels/tfkernel$ jupyter noteboo

8.打开一个新的Jupyter Notebook，输入一行import tensorflow as tf并运行，如果没有出现任何错误，那么就搞定了。

参考：

https://blog.youkuaiyun.com/xue_wenyuan/article/details/51545845

9.最后试验一下tensorflow是不是可以用

import tensorflow as tf

sess = tf.Session()

a = tf.constant(2)

b = tf.constant(3)

print(sess.run(a+b)) 

然后输出如下：
机器学习入门(4)：Ubuntu如何在Jupyter Notebook导入Tensorflow

输出5，这样就成功啦！