title: 5 input and 3 output features for machine learning
body: <p>Need some advise here.</p>
  
  <p>I am trying to build a model where it can predict the 3 different output features when 5 input features are given.</p>
  
  <p>for example, 
  5 input features: size of the house, house floor, house condition, number of rooms, parking. 
  3 output features: price for selling, price for buying,  price for renting</p>
  
  <p>What I am confusing right now is that, is that possible that the trained model are able to predict the 3 outputs? What I found from others' example/tutorial is that they mostly trying to do one thing only on their model.</p>
  
  <p>Sorry if my explanations are bad, I am new to tensorflow and machine learning.</p>