Diffusion model
id:
diffusion-model-205-1532652
title:
Diffusion model
text:
In machine learning, diffusion models, also known as diffusion probabilistic models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of three major components: the forward process, the reverse process, and the sampling procedure. The goal of diffusion models is to learn a diffusion process for a given dataset, such that the process can generate new elements that are distributed similarly as the original dataset. A diffusion model mode
brand slug:
wiki
category slug:
encyclopedia
description:
Deep learning algorithm
original url:
https://en.wikipedia.org/wiki/Diffusion_model
date created:
2022-10-04T03:07:09Z
date modified:
2024-09-10T05:35:16Z
main entity:
{"identifier":"Q114617315","url":"https://www.wikidata.org/entity/Q114617315"}
image:
fields total:
13
integrity:
15