中This course explores the rapidly evolving field of generative models, with a focus on diffusion models for image generation. You’ll start with the foundational concepts and progress to advanced architectures that power text-to-image systems. Learn how diffusion models transform noise into coherent images through forward and reverse processes, and how to optimize them using various loss functions and training strategies.
How to Build a Diffusion Model - An Introduction
您将学到什么
Core concepts behind diffusion models and their role in generative AI
How to build and train diffusion models from scratch
Techniques for creating text-to-image generation systems
Evaluation metrics and real-world applications of diffusion models
您将获得的技能
要了解的详细信息
可分享的证书
添加到您的领英档案
最近已更新！
May 2025
作业
7 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有3个模块
Explore the fundamentals of deep learning and generative models. Understand the diffusion process, its types, and applications in AI.
涵盖的内容
7个视频4篇阅读材料3个作业2个讨论话题
Learn the architecture and mechanics of diffusion models. Dive into forward/reverse passes, loss functions, and training strategies.
涵盖的内容
29个视频5篇阅读材料4个作业5个非评分实验室
Build end-to-end text-to-image systems. Cover data preparation, model construction, training, evaluation, and hands-on labs.
涵盖的内容
1个视频3篇阅读材料1次同伴评审
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常见问题
It’s a practical introduction to diffusion models—one of the most powerful techniques in generative AI for image creation.
You’ll be able to build, train, and evaluate diffusion models, including text-to-image systems.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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提供助学金，