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Add TensorFlow tutorials by Parag K Mital.

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Donne Martin 2016-02-14 06:16:26 -05:00
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@ -96,6 +96,8 @@ IPython Notebook(s) demonstrating deep learning functionality.
| [tsf-gviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/graph_visualization.ipynb) | Learn about graph visualization in TensorFlow. |
| [tsf-lviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb) | Learn about loss visualization in TensorFlow. |
Also check out another set of TensorFlow tutorials [here](https://github.com/pkmital/tensorflow_tutorials).
### tensor-flow-exercises
| Notebook | Description |
@ -323,6 +325,7 @@ Notebooks tested with Python 2.7.x.
* [Parallel Machine Learning with scikit-learn and IPython](https://github.com/ogrisel/parallel_ml_tutorial) by Olivier Grisel
* [Statistical Interference Using Computational Methods in Python](https://github.com/AllenDowney/CompStats) by Allen Downey
* [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) by Aymeric Damien
* [TensorFlow Tutorials](https://github.com/pkmital/tensorflow_tutorials) by Parag K Mital
* [Summer School 2015](https://github.com/mila-udem/summerschool2015) by mila-udem
* [Kaggle](https://www.kaggle.com/)
* [Yhat Blog](http://blog.yhathq.com/)