title: what is word vector dimension
body: <p>I am currently an amateur in deep learning and was reading about word2vector on this site
  <a href="https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-3-more-fun-with-word-vectors" rel="nofollow">https://www.kaggle.com/c/word2vec-nlp-tutorial/details/part-3-more-fun-with-word-vectors</a></p>
  
  <p>For either CBOW or skipgram model, I can see that the dimension of the word vectors is 300 and the vocabulary size is 15000. What I have read in the earlier post, is that we can one hard encode the words in vectors. So I guess the word vector dimension should be equal to the vocabulary size or to put the question in a different way, what is this word dimension and how to do visualize it. How do you take this dimension?</p>