title: revert minmax normalization back to original value
body: <p>i'm training a neural network. Normalization of inputs and outputs (training data) are carried out using min Max to a scale of [0-1].</p>
  
  <p>I'm applying backpropagation learning algorithm. Firstly, i need to get the error offset. i.e. error = actual output - output</p>
  
  <p>how do i scale my output [0-1] back to actual real values such as in zero to thousands range?</p>