Hi I just started to study the "deepnet" package: http://cran.r-project.org/web/packages/deepnet/index.html
It is about "deep leaning", so about the usage of multi-layer neural networks. I've started to use the train() functions available in the package, but I really cannot understand how to add more hidden layers in the neural networks. Does some of you have an idea? I am using the sae.dnn.train() function but I cannot understand which parameter controls the number of hidden layers. Thanks a lot, -- Davide Chicco ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
