How can jupyter access a new tensorflow module installed in the right path?
Question: Where should I stick the model folder? I'm confused because python imports
modules from somewhere in anaconda (e.g. import numpy), but I can also import
data (e.g. file.csv) from the folder in which my jupyter notebook is saved in.

The TF-Slim image models library is not part of the core TF library. So I
checked out the tensorflow/models repository as:

    
    
     cd $HOME/workspace
     git clone https://github.com/tensorflow/models/
    

I'm not sure what $HOME/workspace is. I'm running a ipython/jupyter notebook
from users/me/workspace/ so I saved it to:

    
    
    users/me/workspace/models
    

In jupyter, I'll write:

    
    
    import tensorflow as tf
    from datasets import dataset_utils
    # Main slim library
    slim = tf.contrib.slim
    

But I get an error:

    
    
    ImportError: No module named datasets
    

Any tips? I understand that my tensorflow code is stored in
'/Users/me/anaconda/lib/python2.7/site-packages/tensorflow/**init**.pyc' so
maybe I should save the new models folder (which contains models/datasets)
there?


Answer: From the error "ImportError: No module named datasets"  
It seems that no package named datasets is present. You need to install
datasets package and then run your script.  
Once you install it, then you can find the package present in location  
"/Users/me/anaconda/lib/python2.7/site-packages/" or at the  
location "/Users/me/anaconda/lib/python2.7/"  
  
Download the package from <https://pypi.python.org/pypi/dataset> and install
it.  
This should work

