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@@ -103,7 +103,7 @@ Recognition](http://nlp.stanford.edu/~socherr/pa4_ner.pdf) [zip](http://nlp.stan
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10. [The Best Machine Learning Tutorials On The Web] (https://github.com/josephmisiti/machine-learning-module)
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11. [VGG Convolutional Neural Networks Practical](http://www.robots.ox.ac.uk/~vgg/practicals/cnn/index.html)
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12. [TensorFlow tutorials](https://github.com/nlintz/TensorFlow-Tutorials)
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-13. [More TensorFlow tutorials](https://github.com/aymericdamien/TensorFlow-Examples)
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+13. [TensorFlow Python Notebooks](https://github.com/aymericdamien/TensorFlow-Examples)
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## Researchers
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@@ -383,7 +383,7 @@ Recognition](http://nlp.stanford.edu/~socherr/pa4_ner.pdf) [zip](http://nlp.stan
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29. [Tensorflow - Open source software library for numerical computation using data flow graphs](https://github.com/tensorflow/tensorflow)
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30. [DMTK - Microsoft Distributed Machine Learning Tookit](https://github.com/Microsoft/DMTK)
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31. [Scikit Flow - Simplified interface for TensorFlow (mimicking Scikit Learn)](https://github.com/google/skflow)
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-32. tuto
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+
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### Miscellaneous
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Christos