Learning by CHIR without Storing Internal Representations

  title={Learning by CHIR without Storing Internal Representations},
  author={Dimitry Nabutovsky and Tal Grossman and Eytan Domany},
  journal={Complex Systems},
A new learning algorithm for feedforward networks, learning by choice of intern al represent at ions (C HIR), was recently introduced [1,2]. W hereas many algor it hm s red uce th e learning proce ss to minimizing a cost function over t he weights, our method treats th e internal representations as the funda ment al ent it ies to be determi ned. T he algo rithm applied a sea rch procedure in the space of intern al representations, together wit h coop er ati ve adaptation of the weights (e.g… CONTINUE READING