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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/introduction-to-image-generation
课程评论：没有评论
课程名称：图像生成入门 概述：本课程介绍了扩散模型，这是一类最近在图像生成领域显示出潜力的机器学习模型。扩散模型受到物理学，特别是热力学的启发。在过去几年中，扩散模型在研究和工业界变得越来越流行。许多最先进的图像生成模型和Google Cloud上的工具都以扩散模型为基础。本课程将向您介绍扩散模型的理论及其训练和部署方法。 大纲：本课程重点讲解扩散模型的基础理论，以及如何在Vertex AI上训练和部署这些模型。学员将获得实用技能，以便在图像生成方面应用扩散模型。
Name:Introduction to Image Generation
Description:This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them
