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Questions tagged [rbm]

Restricted Boltzmann Machines, used in contemporary neural networks.

Restricted Boltzmann Machines, used in contemporary s.

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How to handle negative input data in deep belief networks

In my data, I have a column with negative and positive values. Here negative value means how much some things are missing and positive values means unexpected additional things and 0 means neutral which is always expected value. So how can I use…
asdfkjasdfjk
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Pretraining error increases in each epoch in Deep Belief Network

I am using this implementation of DBN. http://deeplearning.net/tutorial/code/DBN.py I am using ecg data to train the model which contains 100 float values (in milivolt unit) per row. When I run this implementation the pretraining cost goes on…
Sayantan Ghosh
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Dimension Reduction in CLDNN (tensorflow)

I'm trying to write an implementation of CLDNN with tensorflow, like the one in this scheme. I am having a problem with the dimension reduction layer. As far as I understand it, it is made with several stacked Restricted Boltzmann Machines (RBMs)…
Zelgunn
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How to output features in a Convolutional RBM?

Having read this text I learnt that I can create what people call "reconstructions" by turning only one hidden unit active and Gibbs sampling the visible from the hidden units. But now I am trying to implement some Convolutional Restricted Boltzmann…
vaulttech
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Restricted Boltzmann Machine (RBM): Changing binary units to gaussian or relu units

I have written a working implementation of an RBM with binary hidden/visible units in R. I've been looking for a while but just can't figure how to change the binary units to either gaussian or ReLUs. If I wanted my input data to be real values,…
Rahul Gupta
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Restricted Boltzmann Machine - preprocessing data

I am programming on MATLAB and want to use RBMs with real-valued input, like greyscale images, so I tried to follow what Hinton said in this article. The images have integer values in [0, 255] and are stored in a matrix D which is [numImages x…
minomic
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Difference in calculating derivative of RBM while using ContrastiveDivergence

could anybody explain me difference between calculating derivative in RBM with -h_j * x_k and - h_j(x) * x_k? I found source codes with both implementations and I am not sure which one is better (and why?)
Snurka Bill
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sklearn RBM throwing IndexError

I am training an RBM from sklearn 0.14 on a text corpus in scipy sparse format. While fitting, it will run for some time (several minutes), but then breaks and throw this error: IndexError: index out of bounds: 0 <= 199740 <= 199745, 0 <= 199750 <=…
manbearpig
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How to create a tuple where input is text in the column and output as row number?

I have a csv file with Name Mobile Email headers. I want to generate a tuple which has input as a name,email or mobile and output as the corresponding row number. (input,output) tuple.
NSH
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Restricted Boltzman Machines for continious inputs

There is an implementation for RBMs. Thr original RBM implementation is for the discrete data such as images, my data is a binary data, does the code work for real data too? I read somewhere that there is a gaussin version of the typical RBM that…
HHH
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