Update index.md (#23960)
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Manish Giri
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@ -45,7 +45,9 @@ Next task is to build a language model. Here we consider an assumption that the
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The field of NLP is huge. If you have read this far and have implemented the above, you have certainly loved this. Go ahead and read Jurafsky's book to learn some more new concepts. Remember, it's important to implement them as well.
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#### Some useful online learning resources:
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* [Stanford's course CS224n](http://web.stanford.edu/class/cs224n/)
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* [Oxford's Course](https://www.cs.ox.ac.uk/teaching/courses/2016-2017/dl/)
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* [CMU's course](http://www.phontron.com/class/nn4nlp2018/index.html)
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* [Natural Language Processing](https://en.wikipedia.org/wiki/Natural_language_processing/)
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* [LSTM networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/)
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* [Attention](https://distill.pub/2016/augmented-rnns/)
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