I'm trying to setup keras deep learning library for Python3.5 on Ubuntu 16.04 LTS and use Tensorflow as a backend. I have Python2.7 and Python3.5 installed. I have installed Anaconda and with help of it Tensorflow, numpy, scipy, pyyaml. Afterwards I have installed keras with command
sudo python setup.py install
Although I can see /usr/local/lib/python3.5/dist-packages/Keras-1.1.0-py3.5.egg directory, I cannot use keras library. When I try to import it in python it says
ImportError: No module named 'keras'
I have tried to install keras usingpip3, but got the same result.
What am I doing wrong? Any Ideas?
Diagnose
If you have pip installed (you should have it until you use Python 3.5), list the installed Python packages, like this:
$ pip list | grep -i keras
Keras (1.1.0)
If you don’t see Keras, it means that the previous installation failed or is incomplete (this lib has this dependancies: numpy (1.11.2), PyYAML (3.12), scipy (0.18.1), six (1.10.0), and Theano (0.8.2).)
Consult the pip.log to see what’s wrong.
You can also display your Python path like this:
$ python3 -c 'import sys, pprint; pprint.pprint(sys.path)'
['',
'/Library/Frameworks/Python.framework/Versions/3.5/lib/python35.zip',
'/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5',
'/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/plat-darwin',
'/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/lib-dynload',
'/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages']
Make sure the Keras library appears in the /Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages path (the path is different on Ubuntu).
If not, try do uninstall it, and retry installation:
$ pip uninstall Keras
Use a virtualenv
It’s a bad idea to use and pollute your system-wide Python. I recommend using a virtualenv (see this guide).
The best usage is to create a virtualenv directory (in your home, for instance), and store your virtualenvs in:
cd virtualenv/
virtualenv -p python3.5 py-keras
source py-keras/bin/activate
pip install -q -U pip setuptools wheel
Then install Keras:
pip install keras
You get:
$ pip list
Keras (1.1.0)
numpy (1.11.2)
pip (8.1.2)
PyYAML (3.12)
scipy (0.18.1)
setuptools (28.3.0)
six (1.10.0)
Theano (0.8.2)
wheel (0.30.0a0)
But, you also need to install extra libraries, like Tensorflow:
$ python -c "import keras"
Using TensorFlow backend.
Traceback (most recent call last):
...
ImportError: No module named 'tensorflow'
The installation guide of TesnsorFlow is here: https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#pip-installation
Ran to the same issue, Assuming your using anaconda3 and your using a venv with >= python=3.6:
python -m pip install keras
sudo python -m pip install --user tensorflow
I had pip referring by default to pip3, which made me download the libs for python3. On the contrary I launched the shell as python (which opened python 2) and the library wasn't installed there obviously.
Once I matched the names pip3 -> python3, pip -> python (2) all worked.
Firstly checked the list of installed Python packages by:
pip list | grep -i keras
If there is keras shown then install it by:
pip install keras --upgrade --log ./pip-keras.log
now check the log, if there is any pending dependencies are present, it will affect your installation. So remove dependencies and then again install it.
