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Ari

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16 Jun 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

12 Jun 2014 Deep Neural Network It provides deep learning tools of deep belief networks (DBNs). Author: Masayuki Tanaka

Hi,
Thanks for sharing this code. I downloaded the last version and tried to run testDNN as it recommended. I got these errors:
??? Error using ==> randperm
Too many input arguments.

Error in ==> pretrainRBM at 172
p = randperm(dimV, DropOutNum);

Error in ==> pretrainDBN at 88
dbn.rbm{i} = pretrainRBM(dbn.rbm{i}, X, opts);

Error in ==> testDNN at 21
dnn = pretrainDBN(dnn, IN, opts);

Thanks,
Ari

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