Indeed the problem was that I had multiple versions of Python.
Removing Anaconda Python and installing all libraries using pip / apt-get instead of conda solved my problem.
I found this to be true but it is not necessary to delete anaconda.
I had the same issue but with multiple python versions. However, i created an environment that only used the Anaconda version (while in that environment). In terminal (on mac and other suitable terminals), type/copy
conda create -n dataweekends python=2.7 pandas scikit-learn jupyter matplotlib
dataweekends is simply the name of the environment you created. To access this, just use the command
source activate dataweekends
Be mindful that you might (probably) have to reinstall dependencies once in that new environment.
I got this trick from here "https://www.dataweekends.com/blog/2017/03/09/set-up-your-mac-for-deep-learning-with-python-keras-and-tensorflow"
I would also recommend setting up different environments for each project you do in python.
/usr/local/lib/python2.7/dist-packages/keras/datasets$ ls cifar100.py cifar10.py cifar.py data_utils.py imdb.py __init__.py mnist.py reuters.py cifar100.pyc cifar10.pyc cifar.pyc data_utils.pyc imdb.pyc __init__.pyc mnist.pyc reuters.pyc
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