rbm-dbn-mnist
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Modification for input vector of real values, not binary.
Hi!
I would like to ask you, before I will study hard your code, if there is support for Gaussian-Bernoulli RBM. http://goo.gl/NBsyRZ part 1.4.3 ... I am newbie with RBM and I don't understand them as I need to. I have to do some project in school and your code is great source of informations. But I am not sure about real input vector.
Yes it does there is a GaussianLayer class that does this. The minst example is pure binary though.
can you please point to the GaussianLayer class ?
https://github.com/tjake/rbm-dbn-mnist/blob/master/src/main/java/com/github/tjake/rbm/GaussianLayer.java
Hi Tjake, Glad to find your project and to read your article entitled 'Resurgence in Neural Networks'. I'm having the same problem as mentioned above. I'm gonna use your codes for a real-valued dataset. As you have replied, the GaussianLayer class is supposed to do so, but in fact I can't find where and how to get use of it. I have already studied about RBM and its formulae and the differences between Gaussian/binary implementations. Would you please tell me which functions you have added(or modified) to convert your binary RBM into a Gaussian? Thanks in advance.