title: Using TensorFlow to predict a number using three or more input numbers
body: <p>I'm very new to using TensorFlow in Python, and need to solve a problem which seems fairly straightforward, but I can't find anything helpful online to even point me in the right direction.</p>
  
  <p>Essentially, I have a dataset containing sets of four integer variables - let's call them a, b, c and x. I'd like to be able to train a model to predict x when given only a, b and c. All of the numbers are integers between 0 and 1000, but ideally I'd like the flexibility to be able to use decimal numbers for all four numbers, including x.</p>
  
  <p>Most of the material I've read online has focused on assigning a category given a number of input variables, rather than predicting a number.</p>
  
  <p>Can anyone point me to a tutorial which might get me started on this? It seems like such a simple task, but after searching for hours I haven't been able to find anything. I suspect I'm just using the wrong jargon.</p>