A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little...

A Boltzmann machine (also called Sherrington–Kirkpatrick model with external field or stochastic Ising model), named after Ludwig Boltzmann is a stochastic...

Boltzmann distribution is used in the sampling distribution of stochastic neural networks such as the Boltzmann machine, restricted Boltzmann machine...

layer is the final low-dimensional feature or representation. Restricted Boltzmann machines (RBMs) are often used as a building block for multilayer learning...

Dayan, Geoffrey Hinton, etc., including the Boltzmann machine, restricted Boltzmann machine, Helmholtz machine, and the wake-sleep algorithm. These were...

viewed as a composition of simple, unsupervised networks such as restricted Boltzmann machines (RBMs) or autoencoders, where each sub-network's hidden layer...

quantum restricted Boltzmann machine. Inspired by the success of Boltzmann machines based on classical Boltzmann distribution, a new machine learning...

harmonium, an artificial helium-like atom Former name for a restricted Boltzmann machine, a generative stochastic neural network The earliest ringtone...

dimensionality reduction techniques like principal component analysis (PCA), Boltzmann machine learning, and autoencoders. After the rise of deep learning, most...

exponential to the size of the machine[citation needed]. A more efficient architecture is called restricted Boltzmann machine where connection is only allowed...