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Introduction to Diffusion Models
In this diffusion models course, you will explore their workings and architecture and learn to create images from noise using neural networks and pretrained models with practical implementations.
4.6
11 lessons
2h
Created by Educative
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What You'll Learn
- An understanding of the fundamental concepts and principles underlying diffusion models
- Working knowledge of theoretical concepts associated with diffusion models
- Hands-on experience in leveraging state-of-the-art diffusion models available to perform various tasks using the Diffusers library
- Working knowledge of how diffusion models work, their needs, and benefits
- Hands-on experience in image generation, neural network training, and sampling
Learning Roadmap
2.
Getting Started
Getting Started
Look at the fundamentals, tasks, challenges, and applications of diffusion models.
3.
Image Creation from Scratch
Image Creation from Scratch
3 Lessons
3 Lessons
Work your way through U-Net setup, model training, and sampling for image creation.
Certificate of Completion
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Developed by MAANG Engineers
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Anthony Walker
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E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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