title: Multilayer backpropagation with NETLAB toolbox
body: <p>I am trying to use the <code>NETLAB</code> toolbox to train a 3-layer (input,hidden,output) feed-forward backpropagation Neural Network. Unfortunately I do not have too much freedom in terms of network architecture I can work with. </p>
  
  <p>I notice <code>NETLAB</code> has the following functions that I need: <code>mlp</code>,<code>mlpbkp</code>,<code>mlpfwd</code>,<code>mlpgrad</code>. I am not sure in what order I need to call the above functions to train the network. The help manual is not of too much help either.  </p>
  
  <p>If any of you have used the <code>NETLAB</code> toolbox, kindly let me know. 
  Also, if you know of other free toolboxes I can use in lieu of <code>NETLAB</code>, kindly, let me know. </p>
  
  <p>Thanks!</p>