HomeCoursesIntroduction to Diffusion Models

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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.

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Overview

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In this course, you’ll gain practical insight into the theoretical concepts associated with diffusion models and hands-on expertise in creating images from noise and training neural networks for effective image sampling. You’ll start with an introduction to generative models, focusing on what is a diffusion model, specifically focusing on how diffusion models fall under this category. You’ll dive deep into how diffusion models work, exploring their workings, architecture, and the theoretical foundations supporting them. Subsequently, various diffusion model tasks will be introduced, and you will implement them using the Diffusers library, which provides cutting-edge pretrained diffusion models. You’ll learn how to set up and train a neural network model and sample images. After completing this course, you’ll understand diffusion models clearly, generate images from noise, navigate the complexities of diffusion models, and harness the full potential of generative models in diverse applications.

In this course, you’ll gain practical insight into the theoretical concepts associated with diffusion models and hands-on expert...Show More

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

An understanding of the fundamental concepts and principles underlying diffusion models

TAKEAWAY SKILLS

Artificial Intelligence

Transformer Models

Modeling and Simulation

Image Manipulation

Content

11 Lessons1 Quiz

Course Overview

1 Lessons

Get familiar with diffusion models, their applications, and foundational skills in data science.

Introduction to the Course

Getting Started

5 Lessons

Look at the fundamentals, tasks, challenges, and applications of diffusion models.

Generative Models

What Are Diffusion Models?

Diffusion Model Tasks

Challenge: Depth-to-Image Generation

The Need, Benefits, and Applications of Diffusion Models

Image Creation from Scratch

3 Lessons

Work your way through U-Net setup, model training, and sampling for image creation.

Wrapping Up

1 Lessons

Grasp the fundamentals of generative diffusion models, image transformations, and practical applications.

Appendix

1 Lessons

Take a look at installing the Diffusers library for working with advanced diffusion models.

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

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