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Learning about Word Vector Representations and Deep Learning through Implementing Word2vec

التعلم عن تعويضات ناقلات الكلمات والتعلم العميق من خلال تنفيذ Word2VEC

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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Word vector representations are an essential part of an NLP curriculum. Here, we describe a homework that has students implement a popular method for learning word vectors, word2vec. Students implement the core parts of the method, including text preprocessing, negative sampling, and gradient descent. Starter code provides guidance and handles basic operations, which allows students to focus on the conceptually challenging aspects. After generating their vectors, students evaluate them using qualitative and quantitative tests.



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2167 - MIT press 2016 كتاب
Written by three experts in the field, Deep Learning is the only comprehensive book on the subject." -- Elon Musk, co-chair of OpenAI; cof-ounder and CEO of Tesla and SpaceX
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