implementation help of Gaussian RBM in matlab

Question

subha 2013-11-23

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https://ww2.mathworks.cn/matlabcentral/answers/107254-implementation-help-of-gaussian-rbm-in-matlab

评论： subha 2013-11-28

First i would like to know how to make visible layer to zero mean and unit variance.I have seen in few example they followed below way.but i couldnot understand

subtracting the corresponding data with its mean and divide it by standard division, my data becomes NaN.

I am new to matlab and Neural networks.

data= batchdata(:,:,batch);
mean_data=mean(data,1),data=bsxfun(data,mean_data);
std_data=std(data,[],1);
data=bsxfun(@rdivide,data,std_data);

i am not able to find the reason

can anybody help to clear this

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Greg Heath 2013-11-23

"subtracting the corresponding data with its mean and divide it by standard division, my data becomes NaN."

Did it ever occur to you to post that code?

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Answer 1

Greg Heath 2013-11-23

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/107254-implementation-help-of-gaussian-rbm-in-matlab#answer_116146

在 MATLAB Online 中打开

doc zscore
help zscore
doc mapstd
help mapstd

Hope this helps.

Thank you for formally accepting my answer*

Greg

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Greg Heath 2013-11-25

在 MATLAB Online 中打开

 [x, t ] = engine_dataset;
 [ I N ] = size(x)   %  2  1199
 [ O N ] = size(t)   %  2  1199
 z    = [ x; t];
 muz  = mean(z')';
 stdz = std(z')';
% [ muz stdz ] = [ 141.2  090.7
%                 1259.5  354.8
%                  754.2  548.7
%                  961.7  466.1 ]
 zn    = ( z - repmat(muz,1,N))./repmat(stdz,1,N);
 muzn  = mean(zn')';
 stdzn = std(zn')';
% [ muzn stdzn ] = [  -0.0000    1.0000
%                      0.0000    1.0000
%                     -0.0000    1.0000
%                     -0.0000    1.0000 ]