Thanks Guys! > This is neither a Deep Belief Network nor a stack > of RBMs, just a regular feed forward neural network > that has a particularly well chosen set of initial weights.
Agreed. This is what i'm imagining. Assuming good results, i'm sure i'll want to move to a GPU implementation. Initially though, i'm just experimenting/learning, and not really concerned w/ speed. Specifically i'm comparing neural nets w/ other dimension reduction methods (NMF, LDA, the new dictionary learning implementation, ect..) It seems like the only piece i'm missing is the backprop piece. Andy, do you think it would be easy to pull that piece out of CUV stack, and use it in the proposed toy implementation? On Mon, Nov 28, 2011 at 4:28 AM, Andreas Müller <[email protected]> wrote: > I'd like to add something to David's addition to Olivier's answer: > There are also some alternatives to Theano ;) > > Theano is great, in particular with all the docs and tutorials, but I > think it feels > like learning a new language. > > My lab has a CUDA library called CUV that aims to be a numpy replacement. > So it doesn't compute gradients for you as theano does. > > Luckily CUV includes an RBM implementation that does everything you need. > > You can find the github repo here: https://github.com/deeplearningais/CUV > and the RBM docu here: > https://github.com/deeplearningais/CUV/blob/master/examples/rbm/README > > Cheers, > Andy > > ------------------------------------------------------------------------------ > All the data continuously generated in your IT infrastructure > contains a definitive record of customers, application performance, > security threats, fraudulent activity, and more. Splunk takes this > data and makes sense of it. IT sense. And common sense. > http://p.sf.net/sfu/splunk-novd2d > _______________________________________________ > Scikit-learn-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
