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< chenzhe>
Hi! I have a question using git.
< chenzhe>
Currently I have code on my own branch for vector problems and matrix problems
< chenzhe>
I want to make a new PR with only the vector problems code
< chenzhe>
Is there any way that I can hide the matrix problems code some how, and create a new branch with only the vector problem code?
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< kris1>
Yes i did go through them. I will start working on them now and complete them first before Gan PR.
< lozhnikov>
Right now the ssRBM passes the classification test, but I still can't get right results on the full MNIST dataset. I mean the test from deeplearning.net
< lozhnikov>
maybe I passed incorrect parameters, maybe there is an error somewhere
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< kris1>
Hmmm okay. when you result you mean the reconstructed samples right ?
< kris1>
Since we do not have an accuracy with deeplearning.net example.
< lozhnikov>
yes, I mean the pictures
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< kris1>
The paper test this on cifar dataset. With patches of size 192*1 for every image. I have these patches if you want let me know. They are large in size though each is around 200mb
< kris1>
On cifar the accuracy was around 68%
< kris1>
Also i think we can test ssRBM implementation by converting it to BinaryRBM. We just have to set the some parameters equal 1.
< kris1>
I will dig out the paper that stated how to convert ssRBM to binary rbm.
< lozhnikov>
Could you send me the link to the paper?
< kris1>
On another read i don’t think this would be helpful. They came up with mu-pooled rbm and reduced it to ssRBM.
< kris1>
I thought we could do something similar with the ssRBM —> binary rbm
< lozhnikov>
kris1: thanks for the link, I have downloaded the paper, I think it is better to remove the file from google drive since this is a logged channel
< kris1>
Ahh okay…
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< ironstark>
zoq: rcurtin: I am getting the following error while using options in weka: