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Merge pull request #28 from donnemartin/develop
Add TensorFlow tutorials by Parag K Mital.
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@ -96,6 +96,8 @@ IPython Notebook(s) demonstrating deep learning functionality.
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| [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. |
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| [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. |
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Also check out another set of TensorFlow tutorials [here](https://github.com/pkmital/tensorflow_tutorials).
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### tensor-flow-exercises
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| Notebook | Description |
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@ -323,6 +325,7 @@ Notebooks tested with Python 2.7.x.
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* [Parallel Machine Learning with scikit-learn and IPython](https://github.com/ogrisel/parallel_ml_tutorial) by Olivier Grisel
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* [Statistical Interference Using Computational Methods in Python](https://github.com/AllenDowney/CompStats) by Allen Downey
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* [TensorFlow Examples](https://github.com/aymericdamien/TensorFlow-Examples) by Aymeric Damien
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* [TensorFlow Tutorials](https://github.com/pkmital/tensorflow_tutorials) by Parag K Mital
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* [Summer School 2015](https://github.com/mila-udem/summerschool2015) by mila-udem
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* [Kaggle](https://www.kaggle.com/)
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* [Yhat Blog](http://blog.yhathq.com/)
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