title: Keras Embedding ,where is the "weights" argument?
body: <p>I have seen such kind of code as follow:</p>
  
  <pre><code>embed_word = Embedding(params['word_voc_size'], params['embed_dim'], weights=[word_embed_matrix], input_length = params['word_max_size']
                          , trainable=False, mask_zero=True)
  </code></pre>
  
  <p>When I look up the document in Keras website [<a href="https://faroit.github.io/keras-docs/2.1.5/layers/embeddings/][1]" rel="noreferrer">https://faroit.github.io/keras-docs/2.1.5/layers/embeddings/][1]</a></p>
  
  <p>I didnt see weights argument,</p>
  
  <pre><code>keras.layers.Embedding(input_dim, output_dim, embeddings_initializer='uniform', embeddings_regularizer=None, activity_regularizer=None, embeddings_constraint=None, mask_zero=False, input_length=None)
  </code></pre>
  
  <p>So I am confused,why we can use the argument weights which was not defined the in Keras document? </p>
  
  <p>My keras version is 2.1.5. Hope someone can help me.</p>