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@@ -65,6 +65,9 @@ Intro NLP course with videos. This has no deep learning. But it is a good primer
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[Stanford CS 224D: Deep Learning for NLP class](http://cs224d.stanford.edu/syllabus.html)
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Class by [Richard Socher](https://scholar.google.com/citations?user=FaOcyfMAAAAJ&hl=en). 2016 content was updated to make use of Tensorflow. Lecture slides and reading materials for 2016 class [here](http://cs224d.stanford.edu/syllabus.html). Videos for 2016 class [here](https://www.youtube.com/playlist?list=PLmImxx8Char9Ig0ZHSyTqGsdhb9weEGam). Note that there are some lecture videos missing for 2016 (lecture 9, and lectures 12 onwards). All videos for 2015 class [here](https://www.youtube.com/playlist?list=PLmImxx8Char8dxWB9LRqdpCTmewaml96q)
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[Udacity Deep Learning](https://classroom.udacity.com/courses/ud730)
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Deep Learning course on Udacity (using Tensorflow) which covers a section on using deep learning for NLP tasks. This section covers how to implement Word2Vec, RNN's and LSTMs.
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[A Primer on Neural Network Models for Natural Language Processing](http://u.cs.biu.ac.il/~yogo/nnlp.pdf)
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Yoav Goldberg. October 2015. No new info, 75 page summary of state of the art.
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