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.