Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!wuarchive!zaphod.mps.ohio-state.edu!sol.ctr.columbia.edu!ira.uka.de!fauern!NewsServ!sunmanager.lrz-muenchen.de!uh311ae!sunmanager!uh311ae From: uh311ae@sunmanager.lrz-muenchen.de (Henrik Klagges) Newsgroups: comp.ai.neural-nets Subject: Convervence vs no. of hidden layers + units Message-ID: Date: 3 Jun 91 14:37:07 GMT Organization: The Internet Lines: 21 Hello, I would like to know wether a) Convergence speed generally decreases as one adds hidden layers/units b) Final convergence generally increases as one adds hidden layers/units. If these generalizations are untrue, I would like to know wether there is something like an algorithm's feature determining these scale properties. Thanks & Cheers ! Rick@vee.lrz-muenchen.de U of M