title: Parallel LSTMs each working on diffrent part of the input
body: <p>What is the change needed to be done with this code to get a model like in the picture?</p>
  
  <pre><code>        model = Sequential()
          model.add(LSTM(256, input_shape=(self.timestamps, len(columns)), activation=keras.activations.tanh,
                         recurrent_activation=keras.activations.tanh))
          model.add(Dense(6, activation=keras.activations.tanh))
          model.summary()
          model.compile(loss=keras.losses.mean_squared_error, optimizer=keras.optimizers.RMSprop())
  </code></pre>
  
  <p><a href="https://i.stack.imgur.com/zhrOI.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/zhrOI.png" alt="stdScore"></a></p>
  
  <p>For example, if the batch <code>input</code> for this model is of shape (10,30,6) then i want  <code>input[:,:15,:]</code> to flow into the left LSTM and <code>input[:,15:,:]</code> to flow to the right LSTM. How is it done?</p>