thank you.it helps me On Tue, Jul 19, 2016 at 8:42 AM, Andrei Zh <[email protected]> wrote:
> Boltzmann.jl <https://github.com/dfdx/Boltzmann.jl> supports both - L1 > and L2 regularization (although it's not documented yet): > > # install if needed > Pkg.add("Boltzmann") > > using Boltzmann > > # create dataset > X = randn(100, 2000) > X = (X + abs(minimum(X))) / (maximum(X) - minimum(X)) > rbm = BernoulliRBM(100, 50) > > # fit with L2 regularization (weight decay) > fit(rbm, X; weight_decay_kind=:l2, weight_decay_rate=0.9) > > Note, that observations should be on columns, which goes along with many > other machine learning packages, but may be different from statistical > packages that often put observations on rows. > > > > On Monday, July 18, 2016 at 6:22:19 PM UTC+3, Ahmed Mazari wrote: >> >> Hello; >> >> l'm looking for practical resources and code with julia for restricted >> boltzman machine with L2 regularization. >> >> Thanks for your helps >> > -- > You received this message because you are subscribed to a topic in the > Google Groups "julia-stats" group. > To unsubscribe from this topic, visit > https://groups.google.com/d/topic/julia-stats/P3XdO8Yz-w8/unsubscribe. > To unsubscribe from this group and all its topics, send an email to > [email protected]. > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "julia-stats" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
