制限付きボルツマンマシン(Restricted Boltzmann Machine; RBM)
A restricted Boltzmann machine (RBM) (also called a restricted Sherrington–Kirkpatrick model with external field or restricted stochastic Ising–Lenz–Little model) is a generative stochastic artificial neural network that can learn a probability distribution over its set of inputs.
from Wikipedia
https://www.youtube.com/watch?v=Fkw0_aAtwIw
https://www.youtube.com/watch?v=p4Vh_zMw-HQ
ボルツマンマシン(Boltzmann Machine)
深層学習(Deep Learning; DL)の事前学習に使われる手法の１つ
神経科学の分野でもshallow brain hypothesisの文脈で注目されつつある
Contrastive-Divergence; CD
性能について
Gaussian-Bernoulli RBMs Without Tears | arXiv (2022)
RBMで遊ぶ
ref
制限付きボルツマンマシンの初心者向けガイド
RBMから考えるDeep Learning　～黒魔術を添えて～