In How Diffusion Models Work, you will gain a deep familiarity with the diffusion process and the models which carry it out. More than simply pulling in a pre-built model or using an API, this course will teach you to build a diffusion model from scratch. In this course you will: 1. Explore the cutting-edge world of diffusion-based generative AI and create your own diffusion model from scratch. 2. Gain deep familiarity with the diffusion process and the models driving it, going beyond pre-built models and APIs. 3. Acquire practical coding skills by working through labs on sampling, training diffusion models, building neural networks for noise prediction, and adding context for personalized image generation. At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications. This one-hour course, taught by Sharon Zhou will expand your generative AI capabilities to include building, training, and optimizing diffusion models. Hands-on examples make the concepts easy to understand and build upon. Built-in Jupyter notebooks allow you to seamlessly experiment with the code and labs presented in the course.
Janet Zhou was able to explain simply, not waste too much time on details, yet give opportunity to go much deeper into code. I would like to see a next level course on same topics.
No assignment or real assessment to start from scratch. It's just a review of a premade model.
Excellent content..! Small though Complete in itself..!!
Very clean code while going into implementation detail
It seems like there is a problem with the caption not matching the video slightly.
Very Good for getting the starting feel of Diffusion Models
An amazing and excellent course for Stable Diffusion Models and how it works from scratch.
Course entails the basic Concepts of DDPM and DDIM Diffusion Models
Quick to-the-point insight into the workings of Diffusion nets, unet.
really to the point and great insights! highly recommend!
Thank you.The course is so good.Please do the same for DiTs, also in a little more easier way to understand .
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The only pity is that the course is so short. It definitely has a potential to become something larger - there already is a GAN specialization, however there is still much to cover. Fingers crossed that expansion of courses such as this one will happen soon!
Janet Zhou was able to explain simply, not waste too much time on details, yet give opportunity to go much deeper into code. I would like to see a next level course on same topics.
Excellent course. The instructor clearly explained the basics of diffusion models and brought us through a full fun example of generating images with those models :)
An amazing and excellent course for Stable Diffusion Models and how it works from scratch.
It seems like there is a problem with the caption not matching the video slightly.
Quick to-the-point insight into the workings of Diffusion nets, unet.
Very Good for getting the starting feel of Diffusion Models
really to the point and great insights! highly recommend!
Excellent content..! Small though Complete in itself..!!
Ushbu kursdan oʻzimga kerakli bilimlarni oldim. Raxmat
Very clean code while going into implementation detail
Great foundation laid down in an hour. Thank you.
Excellent Understanding of Basics
I'm happy about this course
excellent course, love it!
The course was educative.
Clear and concise course
Awesome one. Thank you.
these guys are amazing
Perfect for beginners