May 17, 2017   |   Yinyin Liu

Partnership on AI

At Nervana and now at Intel, our data scientists work directly with domain experts to solve real-world problems using AI across a broad set of industries including agriculture, healthcare, automotive, energy, and finance. We spend our time building connections and applying deep learning to address each use case, and we are finding that the problem…

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#News

Jan 06, 2017   |   Yinyin Liu

Building Skip-Thought Vectors for Document Understanding

The idea of converting natural language processing (NLP) into a problem of vector space mathematics using deep learning models has been around since 2013. A word vector, from word2vec [1], uses a string of numbers to represent a word’s meaning as it relates to other words, or its context, through training. From a word vector,…

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#Model Zoo #NLP

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