# Questions tagged [boltzmann-machine]

For questions related to Boltzmann machines (aka stochastic Hopfield network with hidden units), which are stochastic recurrent neural networks, more precisely, they are Markov random fields.

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### What is the role of the hidden vectors in restricted Boltzmann machines?

I'm learning about the restricted Boltzmann machine (RBM), and I just came up with two naive understandings of this model. But it seems these two understandings are so different. My first ...
89 views

### What are the main differences between a deep Boltzmann machine and a deep belief network?

What are the main differences between a deep Boltzmann machine (DBM) (a recurrent neural network) and a deep belief network (which is based on RBMs)?
37 views

### How do we calculate the hidden units values in a (restricted) Boltzmann machine?

Now, Boltzmann machines are energy-based undirected networks, meaning there are no forward computations. Instead, for each input configuration $x$, a scalar energy is calculated to asses this ...
94 views

### How is the distribution of the state related to the distribution of the units in Boltzmann machines?

I'm trying to understand Boltzmann machines. Tutorials explain it with two formulas. Logistic function for the probability of single units: $$p(unit=1)=\frac{1}{1+e^{-\sum_{x}wx } }$$ and, when the ...
67 views

### Does the encoding of a restricted Boltzmann machine improve with more layers?

I'm using a restricted Boltzmann machine (RBM) as an autoencoder. For now, I use a simple architecture of two layers, the input (~100 nodes) and the output (3 nodes) layers. I'm thinking to add more ...
87 views

### What is the difference between visible and hidden units in Boltzmann machines?

What is the difference between visible and hidden units in Boltzmann machines? What are their purposes?