From 5ab4ecee3a621a98da7baf25879e76a4f0e4cb55 Mon Sep 17 00:00:00 2001 From: Donne Martin Date: Tue, 24 May 2016 07:05:11 -0400 Subject: [PATCH] Add reference to nlintz/TensorFlow-Tutorials --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 785dc49..43e3aae 100644 --- a/README.md +++ b/README.md @@ -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/)