Dear List,<br><br>I&#39;m working with a friend of mine on a Neural Net library in Haskell.<br><br>There are 3 files : neuron.hs, layer.hs and net.hs.<br>neuron.hs defines the Neuron data type and many utility functions, all of which have been tested and work well.<br>
layer.hs defines layer-level functions (computing the output of a whole layer of neurons, etc). Tested and working.<br>net.hs defines net-level functions (computing the output of a whole neural net) and the famous -- but annoying -- back-propagation algorithm.<br>
<br>You can find them there : <a href="http://mestan.fr/haskell/nn/html/">http://mestan.fr/haskell/nn/html/</a> <br><br>The problem is that here when I ask for final_net or test_output (anything after the train call, in net.hs), it seems to loop and loop around, as if it never gets the error under 0.1.<br>
<br>So I was just wondering if there was one or more Neural Nets and Haskell wizard in there to check the back-propagation implementation, given in net.hs, that seems to be wrong.<br><br>Thanks a lot !<br><br>-- <br>Alp Mestan<br>