Home > Article > Backend Development > Ubuntu14.04 installs Keras based on Anaconda and switches the backend to Theano
0 System version Ubuntu16.04
1 System update (the speed is very slow, you can try skipping this step to see if it will affect subsequent installations)
sudo apt updatesudo apt upgrade
2 Install python basic development package
sudo apt install -y python-dev python-pip python-nose gcc g++ git gfortran vim
3 Download Anaconda and then install it in the terminal, follow the prompts to complete
chmod 777 Anaconda.shsudo ./Anaconda.sh
4 Install Anaconda You can then choose to automatically add environment variables. If the python input in the terminal is not the version of Anaconda, you can modify it accordingly: check the environment variables. If python is retrieved under /usr/bin, since this is a soft link, you can delete the original soft link and create a new one pointing to Anaconda. python under.
-s ~/anaconda2/bin/python /usr/bin/python
5 In order to run conda in the terminal, if you have not added the environment variable, you can add the environment variable yourself: edit ~/.bashrc, add the environment variable (as shown below), and then source ~/.bashrc Or restart the terminal
export PATH=~/anaconda2/bin:$PATH
This also solves the problem in the previous step. The python version is the Anaconda version (more convenient than the solution in the previous step).
6 After changing, you can view the installed modules in the terminal
conda list
7 Download pycharm from the official website, decompress it and execute it. After running, search for the corresponding application in the dash and pull it to Taskbar as icon.
tar -xvf pycharm-community-2017.1.4.tar.gz cd pycharm-community-2017.1.4/bin ./pycharm.sh
8 Install tensorflow and keras and test
sudo pip install tensorflowsudo pip install keras python -c "import tensorflow"python -c "import keras"
9 Switch the backend to theonad: Find the configuration file: $HOME/ .keras/keras.json
, change <span class="hljs-attribute">backend</span>
field’s <span class="hljs-value"><span class="hljs-string">tensorflow</span></span>
to theano
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