title: Tensorflow RNN: input of two different types
body: <p>I want to provide input with 2 types to my LSTM RNN Cells. My input is made up of list of integers (i.e. <code>[5,2,3,4,6,1,0, ...]</code> ). </p>
  
  <p>However, each integer is categorized into 2 different groups, so I want to mark each integer, in a way like <code>[[5,True],[2,False], [3,False], [4,True], ... ]</code>. </p>
  
  <p>I have seen cases where input is made up of same type of constants, with input dimension of 2 or above. But I'm not sure whether 2 different types can make 1 unit of input, like <code>[5,True]</code>. If this is not possible, I am thinking about substituting True into integer 2, and False into integer 1, so like <code>[[5,2], [2,1], ...]</code>, where input dimension is 2 (not sure this is good way to mark).</p>
  
  <p>What would be a good way to mark each integer so that each belong to different group?</p>