title: Mixing feed forward layers and recurrent layers in Tensorflow?
body: <p>Has anyone been able to mix feedforward layers and recurrent layers in Tensorflow?</p>
  
  <p>For example:
  input->conv->GRU->linear->output</p>
  
  <p>I can imagine one can define his own cell with feedforward layers and no state which can then be stacked using the MultiRNNCell function, something like:</p>
  
  <p>cell = tf.nn.rnn_cell.MultiRNNCell([conv_cell,GRU_cell,linear_cell])</p>
  
  <p>This would make life a whole lot easier...</p>