title: Which trained embeddings vectors from Gensim (word2vec model) should be used for Tensorflow? Unnormalised or normalised ones?
body: <p>I want to use the Gensim (word2vec model) trained vectors inside a neural network (Tensorflow). There are two kinds of weights I can use for this purpose. The first group is <code>model.syn0</code> and the second group is <code>model.vectors_norm</code> (after calling <code>model.init_sims(replace=True)</code>). The second one is the group of vectors we use for calculating similarity. Which one has the correct order (match with <code>model.wv.index2word</code> and <code>model.wv.vocab[X].index</code>) and weights for the embedding layer of a neural network?</p>