title: Can't approximate simple multiplication function in neural network with 1 hidden layer
body: <p>I just wanted to test how good can neural network approximate multiplication function (regression task). 
  I am using Azure Machine Learning Studio. I have 6500 samples, 1 hidden layer
  (I have tested 5 /30 /100 neurons per hidden layer), no normalization. And default parameters 
  <a href="https://msdn.microsoft.com/en-us/library/azure/dn906030.aspx" rel="nofollow">Learning rate - 0.005, Number of learning iterations - 200, The initial learning weigh - 0.1,
   The momentum - 0 [description]</a>. I got extremely bad accuracy, close to 0.
  <em>At the same time boosted Decision forest regression shows very good approximation.</em></p>
  
  <p>What am I doing wrong? This task should be very easy for NN.</p>