Watch this Author's files
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
rbm=randRBM( 3, 3, 'GBRBM' )
V=[0.5 -3 1;-0.5 2 0;-0.25 -0.44 1];
now once trained should i use
v2hall(rbm, [-0.5 -0.5 0])
on the new input vector
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