Running Tensorflow in Jupyter Notebook

Question

I am trying to do some deep learning work. For this, I first installed all the packages for deep learning in my Python environment.

Here is what I did.

In Anaconda, I created an environment called tensorflow as follows

conda create -n tensorflow 

Then installed the data science Python packages, like Pandas, NumPy, etc., inside it. I also installed TensorFlow and Keras there. Here is the list of packages in that environment

(tensorflow) SFOM00618927A:dl i854319$ conda list # packages in environment at /Users/i854319/anaconda/envs/tensorflow: # appdirs                   1.4.3                     <pip> appnope                   0.1.0                    py36_0   beautifulsoup4            4.5.3                    py36_0   bleach                    1.5.0                    py36_0   cycler                    0.10.0                   py36_0   decorator                 4.0.11                   py36_0   entrypoints               0.2.2                    py36_1   freetype                  2.5.5                         2   html5lib                  0.999                    py36_0   icu                       54.1                          0   ipykernel                 4.5.2                    py36_0   ipython                   5.3.0                    py36_0   ipython_genutils          0.2.0                    py36_0   ipywidgets                6.0.0                    py36_0   jinja2                    2.9.5                    py36_0   jsonschema                2.5.1                    py36_0   jupyter                   1.0.0                    py36_3   jupyter_client            5.0.0                    py36_0   jupyter_console           5.1.0                    py36_0   jupyter_core              4.3.0                    py36_0   Keras                     2.0.2                     <pip> libpng                    1.6.27                        0   markupsafe                0.23                     py36_2   matplotlib                2.0.0               np112py36_0   mistune                   0.7.4                    py36_0   mkl                       2017.0.1                      0   nbconvert                 5.1.1                    py36_0   nbformat                  4.3.0                    py36_0   notebook                  4.4.1                    py36_0   numpy                     1.12.1                    <pip> numpy                     1.12.1                   py36_0   openssl                   1.0.2k                        1   packaging                 16.8                      <pip> pandas                    0.19.2              np112py36_1   pandocfilters             1.4.1                    py36_0   path.py                   10.1                     py36_0   pexpect                   4.2.1                    py36_0   pickleshare               0.7.4                    py36_0   pip                       9.0.1                    py36_1   prompt_toolkit            1.0.13                   py36_0   protobuf                  3.2.0                     <pip> ptyprocess                0.5.1                    py36_0   pygments                  2.2.0                    py36_0   pyparsing                 2.1.4                    py36_0   pyparsing                 2.2.0                     <pip> pyqt                      5.6.0                    py36_2   python                    3.6.1                         0   python-dateutil           2.6.0                    py36_0   pytz                      2017.2                   py36_0   PyYAML                    3.12                      <pip> pyzmq                     16.0.2                   py36_0   qt                        5.6.2                         0   qtconsole                 4.3.0                    py36_0   readline                  6.2                           2   scikit-learn              0.18.1              np112py36_1   scipy                     0.19.0              np112py36_0   setuptools                34.3.3                    <pip> setuptools                27.2.0                   py36_0   simplegeneric             0.8.1                    py36_1   sip                       4.18                     py36_0   six                       1.10.0                    <pip> six                       1.10.0                   py36_0   sqlite                    3.13.0                        0   tensorflow                1.0.1                     <pip> terminado                 0.6                      py36_0   testpath                  0.3                      py36_0   Theano                    0.9.0                     <pip> tk                        8.5.18                        0   tornado                   4.4.2                    py36_0   traitlets                 4.3.2                    py36_0   wcwidth                   0.1.7                    py36_0   wheel                     0.29.0                    <pip> wheel                     0.29.0                   py36_0   widgetsnbextension        2.0.0                    py36_0   xz                        5.2.2                         1   zlib                      1.2.8                         3   (tensorflow) SFOM00618927A:dl i854319$ 

You can see that jupyter is also installed.

Now, when I open up the Python interpreter in this environment and I run the basic TensorFlow command, it all works fine. However, I wanted to do the same thing in the Jupyter notebook. So, I created a new directory (outside of this environment).

mkdir dl 

In that, I activated tensorflow environment

SFOM00618927A:dl i854319$ source activate tensorflow (tensorflow) SFOM00618927A:dl i854319$ conda list 

And I can see the same list of packages in that.

Now, I open up a Jupyter notebook

SFOM00618927A:dl i854319$ source activate tensorflow (tensorflow) SFOM00618927A:dl i854319$ jupyter notebook 

It opens up a new notebook in the browser. But when I just import basic python libraries in that, like pandas, it says "no packages available". I am not sure why is that when the same environment has all those packages and in the same directory, if I use Python interpreter it shows all packages.

import pandas --------------------------------------------------------------------------- ModuleNotFoundError                       Traceback (most recent call last) <ipython-input-4-d6ac987968b6> in <module>() ----> 1 import pandas  ModuleNotFoundError: No module named 'pandas' 

Why jupyter notebook is not picking up these modules?

So, Jupyter notebook doesn't show env as the interpreter

Answer 1

I came up with your case. This is how I sort it out

1. Install Anaconda
2. Create a virtual environment - conda create -n tensorflow
3. Go inside your virtual environment - (on macOS/Linux:) source activate tensorflow (on Windows: activate tensorflow)
4. Inside that install tensorflow. You can install it using pip
5. Finish install

So then the next thing, when you launch it:

6. If you are not inside the virtual environment type - Source Activate Tensorflow
7. Then inside this again install your Jupiter notebook and Pandas libraries, because there can be some missing in this virtual environment

Inside the virtual environment just type:

8. pip install jupyter notebook
9. pip install pandas

Then you can launch jupyter notebook saying:

10. jupyter notebook
11. Select the correct terminal python 3 or 2
12. Then import those modules

Answer 2

I believe a short video showing all the details if you have Anaconda is the following for mac (it is very similar to windows users as well) just open Anaconda navigator and everything is just the same (almost!)

https://www.youtube.com/watch?v=gDzAm25CORk

Then go to jupyter notebook and code

!pip install tensorflow 

Then

import tensorflow as tf 

It work for me! :)