title: Tensorflow - Making a neural network to handle simple array/list input
body: <p>I am attempting to make a neural network with Tensorflow, but I am having trouble figuring out how to make a network that takes simple simple numpy array/list input.  I've tried following Tensorflow tutorials, but most use the mnist handwriting dataset.</p>
  
  <p>For instance, I'd like to have simple X and Y data like this.</p>
  
  <pre><code>X = np.array(([3, 5], [5, 1], [10, 2]), dtype=float)
  Y = np.array(([75], [82], [93]), dtype=float)
  </code></pre>
  
  <p>Where X consists of hours slept and hours spent studying for an exam. 
  And Y consists of the corresponding grades received on those exams.  All the network would have to consist of is 2 input nodes, 3-5 hidden nodes, and a single output node.</p>
  
  <p>The example I've been trying to follow is 
  <a href="https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/multilayer_perceptron.py" rel="nofollow noreferrer">https://github.com/aymericdamien/TensorFlow-Examples/blob/master/examples/3_NeuralNetworks/multilayer_perceptron.py</a></p>