How to implement LSTM using Doc2Vec vectors?
Weights are nothing but the pretrained word vectors . You can use any of word2vec or Glove embedding and create an embedding matrix to get that . Essentially each row of the matrix will be the vector for a word in the word2vec/Glove vocabulary. Please have a look here