how to set up tensorflow virtual

This reviews my process of setting up tensorflow virtualenv in jupyter notebook in deepthought.ics.uci.edu Ubuntu machine for shoeprint classification project. Before this, I have successfully run the jupyter notebook script on my own MacOS and was able to train the model, but the process is pretty slow: it takes 20 min to train 15 echos with a training set of 60 images and a validation set of 40 images. 

1. installation on Mac:

    install virtualenv

    install tensorflow with virtualenv

    turn on jupyter notebook in tensorflow virtualenv (takes some uninstall first and install later, but cannot quite remember)

2. usage on Mac:

    source activate tensorflow

    jupyter notebook 

    ->open the script

3. install on deepthought：

    pip install virtualenv --user (this is important, which allows me to install under my own directory without having sudo authorization)

    install tensorflow with virtualenv: virtualenv --system-site-packages -p python3 (may not be exact, something like this)

    then install jupyter notebook:

4. usage on deepthought:

    cd ~ (to my home directory)

    source tensorflow/bin/activate tensorflow

5. set up jupyter notebook server and run on remote:

    1. turn on jupyter notebook server:

        from MacOS:

            login: ssh leix8@deepthought.ics.uci.edu 

            activate: virtual environment: source tensorflow/bin/activate tensorflow

            turn on kernel: ipython notebook --no-browser --port=8889

    2. then set up a ssh channel:

        from MacOS:

            ssh leix8@deepthought.ics.uci.edu -L127.0.0.1:1234:127.0.0.1:8889

            (then enter a password)

         go to browser and enter: http://127.0.0.1:1234 or http://localhost:1234