# Questions tagged [restricted-boltzmann-machine]

For questions related to restricted Boltzmann machines, which is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.

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### What is the difference between Restricted Boltzmann Machine and Artificial Neural Network?

In the deep learning course I took at the university, the professor touched upon the subject of the Restricted Boltzmann Machine. What I understand from this subject is that this system works ...
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### How can I reconstruct sparse one-hot encodings using an RBM?

I am currently working with a categorical-binary RBM, where there are 50 categorical visible units and 25 binary hidden units. The categorical visible units are expressed in one-hot encoding format, ...
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### How do I derive the gradient of the log-likelihood of an RBM?

In a Restricted Boltzmann Machine (RBM), the likelihood function is: $$p(\mathbf{v};\mathbf{\theta}) = \frac{1}{Z} \sum_{\mathbf{h}} e^{-E(\mathbf{v},\mathbf{h};\mathbf{\theta})}$$ Where $E$ is the ...
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### Purpose of the hidden variables in a Restricted Boltzmann Machine

From the part titled Introducing Latent Variables under subsection 2.2 in this tutorial: Introducing Latent Variables. Suppose we want to model an $m$-dimensional unknown probability distribution $q$ ...
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