title: How to determine the threshold for neuron firings in neural networks?
body: <p>I have a simple task to classify people by their height and hair length to either MAN or WOMAN category using a neural network. Also teach it the pattern with some examples and then use it to classify on its own.  </p>
  
  <p>I have a basic understanding of neural networks but would really need some help here.  </p>
  
  <p>I know that each neuron divides the area to two subareas, basically that is why P = w0 + w1*x1 + w2*x2 + ... + wn*xn is being used here (weights are just moving the line if we consider geometric representation).</p>
  
  <p>I do understand that each epoche should modify the weights to get closer to correct result, yet I have never program it and I am hopeless about how to start.</p>
  
  <p>How should I proceed, meaning: How can I determine the threshold and how should I deal with the inputs?</p>
  
  <p>It is not a homework rather than task for the ones who were interested. I am and I would like to understand it.</p>