Deep Learning, NLP, and Representations

In the last few years, deep neural networks have dominated pattern recognition. They blew the previous state of the art out of the water for many computer vision tasks. Voice recognition is also moving that way.

But despite the results, we have to wonder… why do they work so well?

This post reviews some extremely remarkable results in applying deep neural networks to natural language processing (NLP). In doing so, I hope to make accessible one promising answer as to why deep neural networks work. I think it’s a very elegant perspective.

Read the full post on my new blog!

 

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3 Responses to “Deep Learning, NLP, and Representations”

  1. S Says:

    Do you have a version in which all the math markup renders properly? Like, instead of “\(R\)”, it says just “R” in math mode (perhaps R).

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