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siddhartha

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

So when i run the code by Masayuki Tanaka in MATLAB

I train a RBM with real valued input samples and binary hidden units.

So now I want to feed a new input sample to know the classification.

Which file in the toolbox the code should i use
calRMSE is it

also the values it gives are in decimals

so how will i know which class my input sample has been clasified into

example code

rbm=randRBM( 3, 3, 'GBRBM' )

V=[0.5 -3 1;-0.5 2 0;-0.25 -0.44 1];

rbm=pretrainRBM(rbm, V)

now once trained should i use
v2hall(rbm, [-0.5 -0.5 0])

on the new input vector

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

Hi I just have one question
I am using GBRBM type rbm.

So i give it a training set and train it and it gives a rbm with W,b,c,sig

Now when i give it a new input the output should be a binary vector equal to legnth of hidden neurons. Since it will classify which neuron corresponds to the input more

So how do i feed the new input and is my approach correct

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