mandiant/tf_rl_tutorial

Tutorial: Statistical Relational Learning with Google TensorFlow

tf_rl_tutorial

Accompanying code for "Relational Learning with TensorFlow" tutorial

The tutorial can be be viewed here: http://nbviewer.jupyter.org/github/fireeye/tf_rl_tutorial/blob/master/tf_rl_tutorial.ipynb

Please use the nbviewer link above instead of viewing the notebook directly from this GitHub repo. The GitHub renderer won't correctly display the images, equations, or the scatter plot.

Dependencies

• Python 3: http://www.python.org
• TensorFlow: http://www.tensorflow.org
• Numpy: http://www.numpy.org
• Pandas: http://pandas.pydata.org

Running the WordNet Example

In addition to the tutorial notebook, there is also a script which demonstrates training and evaluating a model.

1. Clone this repository, make sure all dependencies are installed
2. Download and unpack the WordNet dataset into the /data directory (link is in the tutorial)
3. Make sure that this project directory is in your PYTHONPATH
4. cd tf_rl_tutorial
5. python wordnet_eval.py