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                      lt pip gt  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                      lt pip gt  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                     lt pip gt  numpy                     1 12 1                   py36 0   openssl                   1 0 2k                        1   packaging                 16 8                       lt pip gt  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                      lt pip gt  ptyprocess                0 5 1                    py36 0   pygments                  2 2 0                    py36 0   pyparsing                 2 1 4                    py36 0   pyparsing                 2 2 0                      lt pip gt  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                       lt pip gt  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                     lt pip gt  setuptools                27 2 0                   py36 0   simplegeneric             0 8 1                    py36 1   sip                       4 18                     py36 0   six                       1 10 0                     lt pip gt  six                       1 10 0                   py36 0   sqlite                    3 13 0                        0   tensorflow                1 0 1                      lt pip gt  terminado                 0 6                      py36 0   testpath                  0 3                      py36 0   Theano                    0 9 0                      lt pip gt  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                     lt pip gt  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   lt ipython-input-4-d6ac987968b6 gt  in  lt module gt    ---- gt  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

User · Answer

I came up with your case  This is how I sort it out    Install Anaconda  Create a virtual environment - conda create -n tensor flow Go inside your virtual environment - Source activate tensorflow  Inside that install tensorflow  You can install it using pip  Finish install    So then the next thing  when you launch it    If you are not inside the virtual environment type - Source Activate  Tensorflow  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    pip install jupyter notebook  pip install pandas    Then you can launch jupyter notebook saying    jupyter notebook  Select the correct terminal python 3 or 2 Then import those modules

User · Answer

Although it s a long time after this question is being asked since I was searching so much for the same problem and couldn t find the extant solutions helpful  I write what fixed my trouble for anyone with the same issue  The point is  Jupyter should be installed in your virtual environment  meaning  after activating the tensorflow environment  run the following in the command prompt  in tensorflow virtual environment    conda install jupyter jupyter notebook   and then the jupyter will pop up

User · Answer

It is better to create new environment with new name   newenv  conda create -n  newenv tensorflow  Then by using anaconda navigator under environment tab you can find newenv in the middle column   By clicking on the play button open terminal and type  activate tensorflow  Then install tensorflow inside the newenv by typing  pip install tensorflow  Now you have tensorflow inside the new environment so then install jupyter by typing  pip install jupyter notebook  Then just simply type  jupyter notebook to run the jupyter notebook   Inside of the jupyter notebook type  import tensorflow as tf  To test the the tf you can use THIS LINK

User · Answer

I have found a fairly simple way to do this   Initially  through your Anaconda Prompt  you can follow the steps in this official Tensorflow site - here  You have to follow the steps as is  no deviation   Later  you open the Anaconda Navigator  In Anaconda Navigator  go to Applications On --- section  Select the drop down list  after following above steps you must see an entry - tensorflow into it  Select tensorflow and let the environment load   Then  select Jupyter Notebook in this new context  and install it  let the installation get over    After that you can run the Jupyter notebook like the regular notebook in tensorflow environment

User · Answer

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

User · Answer

Install Anaconda  Run Anaconda command prompt  write  activate tensorflow  for windows  pip install tensorflow  pip install jupyter notebook  jupyter notebook     Only this solution worked for me  Tried 7 8 solutions   Using Windows platform

User · Answer

install tensorflow by running these commands in anoconda shell or in console   conda create -n tensorflow python 3 5 activate tensorflow conda install pandas matplotlib jupyter notebook scipy scikit-learn pip install tensorflow  close the console and reopen it and type these commands    activate tensorflow  jupyter notebook

User · Answer

I would suggest launching Jupyter lab notebook from your base environment and selecting the right kernel    How to add conda environment to jupyter lab should contains the info needed to add the kernel to your base environment   Disclaimer   I asked the question in the topic I linked  but I feel it answers your problem too

User · Answer

For Anaconda users in Windows 10 and those who recently updated Anaconda environment  TensorFlow may cause some issues to activate or initiate   Here is the solution which I explored and which worked for me    Uninstall current Anaconda environment and delete all the existing files associated with Anaconda from your C  Users or where ever you installed it  Download Anaconda  https   www anaconda com download  lang en-us windows  While installing  check the  Add Anaconda to my PATH environment variable  After installing  open the Anaconda command prompt to install TensorFlow using these steps  Create a conda environment named tensorflow by invoking the following command      conda create -n tensorflow python 3 5    Use this command even if you are using python 3 6 because TensorFlow will get upgraded in the following steps   Activate the conda environment by issuing the following command      activate tensorflow    After this step  the command prompt will change to  tensorflow   After activating  upgrade tensorflow using this command      pip install --ignore-installed --upgrade   Now you have successfully installed the CPU version of TensorFlow   Close the Anaconda command prompt and open it again and activate the tensorflow environment using  activate tensorflow  command  Inside the tensorflow environment  install the following libraries using the commands  pip install jupyter pip install keras pip install pandas pip install pandas-datareader pip install matplotlib pip install scipy pip install sklearn Now your tensorflow environment contains all the common libraries used in deep learning  Congrats  these libraries will make you ready to build deep neural nets  If you need more libraries install using the same command  pip install libraryname

User · Answer

You will need to add a  kernel  for it  Run your enviroment    gt activate tensorflow   Then add a kernel by command  after --name should follow your env  with tensorflow     gt python -m ipykernel install --user --name tensorflow --display-name  TensorFlow-GPU    After that run jupyter notebook from your tensorflow env    gt jupyter notebook   And then you will see the following enter image description here  Click on it and then in the notebook import packages  It will work out for sure

[python] Running Tensorflow in Jupyter Notebook

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