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Add reference to nlintz/TensorFlow-Tutorials

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Donne Martin 2016-05-24 07:05:11 -04:00
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@ -82,6 +82,11 @@ IPython Notebook(s) demonstrating deep learning functionality.
### tensor-flow-tutorials
Additional TensorFlow tutorials:
* [pkmital/tensorflow_tutorials](https://github.com/pkmital/tensorflow_tutorials)
* [nlintz/TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)
| Notebook | Description |
|--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| [tsf-basics](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/1_intro/basic_operations.ipynb) | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. |
@ -96,8 +101,6 @@ 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 |
@ -326,6 +329,7 @@ Notebooks tested with Python 2.7.x.
* [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
* [TensorFlow Tutorials](https://github.com/nlintz/TensorFlow-Tutorials) by Nathan Lintz
* [Summer School 2015](https://github.com/mila-udem/summerschool2015) by mila-udem
* [Kaggle](https://www.kaggle.com/)
* [Yhat Blog](http://blog.yhat.com/)