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Can anyone explain to me how I should install Tensorflow and Keras on Ubuntu? Preferably in combination with python 3.6? The pip installation suggested at the TensorFlow website offers no solution (python cannot find the package when I try to import TensorFlow). Apart from the Tensorflow website, I can find only very limited supplementary documentation.

  • If package cannot be found, maybe wrong python version is used or a firewall is blocking something (e.g. if you are in a company network) – Mr.Michael.Schulze Jul 24 '19 at 8:18
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To install keras using command line : pip3 install keras

To install tensorflow using command line : python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl

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I prefer to use Miniconda and always create an own virtual environment for my projects, here called myenv (should be a usefull name). Everything done via command line. If you are not familar with command line, please consider to use Anaconda instead.

1) Download Miniconda https://docs.conda.io/en/latest/miniconda.html

2) Install Miniconda (from you download folder)

bash Miniconda3-latest-Linux-x86_64.sh

3) Update Conda

conda update conda

4) Create virtual environment (myenv) for actual project with certain Python version

conda create -n myenv python=3.6

5) Install necessary packages into virtual environment

If you will use CPU

conda install -n myenv tensorflow keras

If you will use GPU

conda install -n myenv tensorflow-gpu keras

maybe you will need further packages, depends on your situation (hdf5, h5py, graphiz, pydot, cudnn)

6) Activate virtual environment (for running your tensorflow environment)

conda activate myenv

7) Deactivate virtual environment (if you would like to go back to base)

conda deactivate

or

conda activate base
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