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Lecture 2 | Word Vector Representations: word2vec - Stanford University School of Engineering - 深度學習 Deep Learning 公開課 - Cupoy

Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popul...

Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to designing word vectors. Key phrases: Natural Language Processing. Word Vectors. Singular Value Decomposition. Skip-gram. Continuous Bag of Words (CBOW). Negative Sampling. Hierarchical Softmax. Word2Vec.