はてなブックマーク

In the first post about movie2vec we closed with the idea to use a recurrent network to encode a sequence of words as a fixed vector. First, let us summarize what we got so far: We trained an embedding model of plot keywords of movies by constructing a graph that encodes the relation between the words. Thus, each word is represented by x-dim vector in the feature space. To learn something about th