R help - Jan 2015 - DeepNet package - how to add hidden layers?

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

Hi Davide,

You really shouldn't post on multiple forums.  Please see my response on
SO,
http://stackoverflow.com/questions/27990932/r-deepnet-package-how-to-add-more-hidden-layers-to-my-neural-network,
where I tell you that you can add additional layers by simply adding to the
hidden vector.

Regards,
Charles

On Fri, Jan 16, 2015 at 12:29 PM, davide.chicco at gmail.com <
davide.chicco at gmail.com> wrote:
> 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 at 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.
>


-- 
Dr. Charles Determan, PhD
Integrated Biosciences

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