Update Reading Content and Videos in Tutorials

Author: NirantK

README.md

@@ -65,19 +65,19 @@ General Machine Learning
 Introductions and Guides to NLP
 * Ultimate Guide to [Understand & Implement Natural Language Processing](https://www.analyticsvidhya.com/blog/2017/01/ultimate-guide-to-understand-implement-natural-language-processing-codes-in-python/)
 * [Introduction to NLP at Hackernoon](https://hackernoon.com/learning-ai-if-you-suck-at-math-p7-the-magic-of-natural-language-processing-f3819a689386) is for people who suck at math - in their own words
-* [NLP Tutorial by Vik Paruchari](http://www.vikparuchuri.com/blog/natural-language-processing-tutorial/), [Natural Language Processing: An Introduction](http://jamia.oxfordjournals.org/content/18/5/544.short) by Oxford
+* [NLP Tutorial by Vik Paruchari](http://www.vikparuchuri.com/blog/natural-language-processing-tutorial/)
+* [Natural Language Processing: An Introduction](http://jamia.oxfordjournals.org/content/18/5/544.short) by Oxford
 * [Deep Learning for NLP with Pytorch](http://pytorch.org/tutorials/beginner/deep_learning_nlp_tutorial.html)
 * [Hands-On NLTK Tutorial](https://github.com/hb20007/hands-on-nltk-tutorial) - The hands-on NLTK tutorial in the form of Jupyter notebooks
 
 
-Specialized Blogs
+Blogs and Newsletters
 * [Deep Learning, NLP, and Representations](http://colah.github.io/posts/2014-07-NLP-RNNs-Representations/)
 * [Natural Language Processing Blog](http://nlpers.blogspot.ch/) by Hal Daumé III
-* Tensor Flow Tutorial on [Seq2Seq](https://www.tensorflow.org/tutorials/seq2seq/index.html) Models
-* Several [tutorials by Radim Řehůřek](https://radimrehurek.com/gensim/tutorial.html) on using Python and [gensim](https://radimrehurek.com/gensim/index.html) to process language corpora 
+* [Tutorials by Radim Řehůřek](https://radimrehurek.com/gensim/tutorial.html) on using Python and [gensim](https://radimrehurek.com/gensim/index.html) to process language corpora 
 * [arXiv: Natural Language Processing (Almost) from Scratch](http://arxiv.org/pdf/1103.0398.pdf)
-* [karpathy's The Unreasonable Effectiveness of Recurrent Neural Networks](https://karpathy.github.io/2015/05/21/rnn-effectiveness)
-
+* [Karpathy's The Unreasonable Effectiveness of Recurrent Neural Networks](https://karpathy.github.io/2015/05/21/rnn-effectiveness)
+* [Sebastian Ruder](http://ruder.io/#open)'s blog is focused on NLP Research
 
 ### Videos and Online Courses
 
@@ -86,10 +86,8 @@ Word embeddings, RNNs, LSTMs and CNNs for Natural Language Processing | [Back to
 * [Udacity's Intro to Artificial Intelligence](https://www.udacity.com/course/intro-to-artificial-intelligence--cs271) course which touches upon NLP as well
 * [Udacity's Deep Learning](https://classroom.udacity.com/courses/ud730) using Tensorflow which covers a section on using deep learning for NLP tasks (covering Word2Vec, RNN's and LSTMs)
 * [Deep Natural Language Processing at Oxford](https://github.com/oxford-cs-deepnlp-2017/lectures) has videos, lecture slides and reading material
-* [Deep Learning for Natural Language Processing (cs224*n* Winter 2017)](https://www.youtube.com/playlist?list=PL3FW7Lu3i5Jsnh1rnUwq_TcylNr7EkRe6) by Richard Socher and Christopher Manning at Stanford. Tensorflow. 
+* [Deep Learning for Natural Language Processing (cs224*n*)](web.stanford.edu/class/cs224n/) by Richard Socher and Christopher Manning at Stanford. Includes Videos, Assignments, Syllabus and other detailed material
 [Lecture Slides and Reading Material here](http://web.stanford.edu/class/cs224n/)
-* [Deep Learning for Natural Language Processing (cs224*d* 2016)](https://www.youtube.com/playlist?list=PLmImxx8Char9Ig0ZHSyTqGsdhb9weEGam) by Richard Socher. Updated to make use of Tensorflow. Some lectures missing. [Lecture Slides + Reading Materials](http://cs224d.stanford.edu/syllabus.html)
-* [Deep Learning for Natural Language Processing (cs224*d* 2015)](https://www.youtube.com/playlist?list=PLmImxx8Char8dxWB9LRqdpCTmewaml96q) by Richard Socher
 * [Coursera's Natural Language Processing](https://www.coursera.org/learn/language-processing) by National Research University Higher School of Economics
 
 #### Classical NLP