And under the current implementation, implementing them involves
changing only the sampling and energy computation, I think.

I discussed this with Gabriel Synnaeve during the sprint and I think
he was working on the gaussian version, it might be on his repo.

Lars, do you have any practical experience with the softmax version?

Vlad

On Tue, Sep 17, 2013 at 11:12 AM, Lars Buitinck <larsm...@gmail.com> wrote:
> 2013/9/16 Issam <issamo...@gmail.com>:
>> Maybe I could start working on the simple approach - 'Gaussian visible
>> nodes'.
>
> There are several variants of the RBM, for various types of input:
>
> * Bernoulli RBM for binary inputs (Bernoulli random variables; this is
> what we have)
> * Gaussian RBM for real-valued input with Gaussian distribution
> * Replicated softmax for frequency input (presented as a neural topic
> model for document sets)
>
> ------------------------------------------------------------------------------
> LIMITED TIME SALE - Full Year of Microsoft Training For Just $49.99!
> 1,500+ hours of tutorials including VisualStudio 2012, Windows 8, SharePoint
> 2013, SQL 2012, MVC 4, more. BEST VALUE: New Multi-Library Power Pack includes
> Mobile, Cloud, Java, and UX Design. Lowest price ever! Ends 9/20/13.
> http://pubads.g.doubleclick.net/gampad/clk?id=58041151&iu=/4140/ostg.clktrk
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

------------------------------------------------------------------------------
LIMITED TIME SALE - Full Year of Microsoft Training For Just $49.99!
1,500+ hours of tutorials including VisualStudio 2012, Windows 8, SharePoint
2013, SQL 2012, MVC 4, more. BEST VALUE: New Multi-Library Power Pack includes
Mobile, Cloud, Java, and UX Design. Lowest price ever! Ends 9/20/13. 
http://pubads.g.doubleclick.net/gampad/clk?id=58041151&iu=/4140/ostg.clktrk
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general

Reply via email to