title: Initializing LSTM layer with initial inputs for hidden layers
body: <p>Currently, I am working on the implementation of Learning to Generate Product Reviews from Attributes  by Li Dong (<a href="https://www.aclweb.org/anthology/E17-1059/" rel="nofollow noreferrer">https://www.aclweb.org/anthology/E17-1059/</a>)</p>
  
  <p>I am able to write the encoding layer but not able to understand how the values from the encoding layer can be passed to the LSTM decoding layer. (for this using Keras)</p>
  
  <p>Section 3.2 in the paper. 
  "Once the input attributes are encoded to the vector a ∈ RLn by Equation (3), the encoding vector is split into L vectors to initialize the hidden vectors of the ﬁrst time step in the decoder"</p>