title: [Keras][Embedding] How do I expand the vocabulary size of a pre trained embedding
body: <p>I have a pre-trained Keras model and there's a word embedding [1000 vocabulary * 200 dimensions] inside of the model.</p>
  
  <p>Now I want to load it back to memory and continuous training it with new data. The vocabulary size increased because of the new data.</p>
  
  <p>I am wondering if it's possible to replace this embedding with a bigger vocabulary size [2000 vocabulary * 200 dimensions] but keeping other parameter weights unchanged for the entire model.</p>