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Fix a few typos in the NLP beginners introduction (#215)
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beginner_source/deep_learning_nlp_tutorial.rst

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@@ -5,7 +5,7 @@ Deep Learning for NLP with Pytorch
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This tutorial will walk you through the key ideas of deep learning
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programming using Pytorch. Many of the concepts (such as the computation
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graph abstraction and autograd) are not unique to Pytorch and are
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relevant to any deep learning tool kit out there.
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relevant to any deep learning toolkit out there.
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I am writing this tutorial to focus specifically on NLP for people who
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have never written code in any deep learning framework (e.g, TensorFlow,
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:intro: At this point, we have seen various feed-forward networks. That is, there is no state maintained by the network at all.
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.. galleryitem:: /beginner/nlp/advanced_tutorial.py
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:intro: Dyanmic versus Static Deep Learning Toolkits. Pytorch is a *dynamic* neural network kit.
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:intro: Dynamic versus Static Deep Learning Toolkits. Pytorch is a *dynamic* neural network kit.
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.. raw:: html
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<div style='clear:both'></div>
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<div style='clear:both'></div>

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