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How to Build a Diffusion Model - An Introduction
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Fractal Analytics

How to Build a Diffusion Model - An Introduction

Fractal Analytics Academy
Akshesh Shah

Instructors: Fractal Analytics Academy

Instructors

Fractal Analytics Academy
Fractal Analytics Academy
Fractal Analytics
20 Courses•90,227 learners
Akshesh Shah
Akshesh Shah
Fractal Analytics
1 Course•250 learners

Included with Coursera Plus

•Learn more
3 modules
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

Recommended experience

Intermediate level

Data scientists, Data Engineers, ML Engineers, AI enthusiasts. Programming knowledge using Python and having fundamental knowledge of AI.

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

3 modules
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

Recommended experience

Intermediate level

Data scientists, Data Engineers, ML Engineers, AI enthusiasts. Programming knowledge using Python and having fundamental knowledge of AI.

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
  • About
  • Modules
  • Recommendations
  • Testimonials

What you'll learn

  • Fundamentals of diffusion models, evaluate training strategies, analyze text-to-image workflows, and build innovative models.

Skills you'll gain

  • Machine Learning
  • Machine Learning Methods
  • Tensorflow
  • Software Architecture
  • Image Analysis
  • Deep Learning
  • Artificial Neural Networks
  • Performance Tuning
  • PyTorch (Machine Learning Library)
  • Natural Language Processing
  • Generative AI

Details to know

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Recently updated!

May 2025

Assessments

7 assignments

Taught in English

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There are 3 modules in this course

This intermediate-level course delves into the field of generative models, particularly focusing on diffusion models for image generation. Through an exploration of cutting-edge techniques, you'll uncover how diffusion models work, from the fundamental concepts to the intricate architectures powering text-to-image generation. As you deepen your understanding, you'll also evaluate training strategies and discover how to fine-tune these models for maximum effectiveness.

To get the most out of this course, a solid foundation in Machine Learning, Python, Calculus, Generative AI, PyTorch, TensorFlow, and Deep Learning is essential. Armed with these skills, you’ll be ready to build groundbreaking diffusion models that advance the frontier of AI creativity.

In this module, you'll dive into the intricate world of diffusion models, beginning with the fundamentals of deep learning and generative models. You'll also develop a solid understanding of the principles that underpin these advanced technologies and receive a detailed overview of the diffusion process, their types, and their applications. By the end of this module, you'll gain thorough knowledge of diffusion models and how to leverage them effectively.

What's included

7 videos4 readings3 assignments2 discussion prompts

7 videos•Total 24 minutes
  • Course Introduction•2 minutes•Preview module
  • Fundamentals of Deep Learning•4 minutes
  • Introduction to Generative Models•2 minutes
  • Overview of Diffusion Process•2 minutes
  • Why Diffusion Models?•4 minutes
  • Types of Diffusion Models•3 minutes
  • Applications and Use-cases•4 minutes
4 readings•Total 47 minutes
  • Course Syllabus•5 minutes
  • Disclaimer•2 minutes
  • Diffusion Explainer•10 minutes
  • Recent Buzz and Advancements about Diffusion Models•30 minutes
3 assignments•Total 35 minutes
  • Diffusion 101: A Primer on Generative Models•15 minutes
  • Understanding Diffusion Models•10 minutes
  • Starting with Diffusion Models•10 minutes
2 discussion prompts•Total 20 minutes
  • Meet and Greet•10 minutes
  • Diffusion Dilemmas: Advantages and Challenges Explored•10 minutes

In this module, you'll delve into the process of building diffusion models, starting from the basics to advanced techniques. You'll begin by understanding the critical steps involved in constructing a diffusion model, including the architecture design required for setting up successful models. You'll also gain insight into the mechanics of the forward and reverse pass processes, which are essential for the model's ability to refine noise into detailed data representations. Additionally, you'll explore different loss functions and strategies for training and optimizing these models for better performance.

What's included

29 videos5 readings4 assignments5 ungraded labs

29 videos•Total 138 minutes
  • Steps in Building a Diffusion Model•4 minutes•Preview module
  • Architecture Design - Forward Pass Part-1•4 minutes
  • Architecture Design - Forward Pass Part-2•4 minutes
  • Architecture Design - Reverse Pass Part-1•4 minutes
  • Architecture Design - Reverse Pass Part-2•3 minutes
  • Tailoring the Architecture to Data Types•4 minutes
  • Handling Multimodal Architectures•3 minutes
  • Text Data Preparation•4 minutes
  • Image Data Preprocessing•5 minutes
  • Preparing the Dataset•2 minutes
  • Advance Techniques for Image Data Preparation•5 minutes
  • Data Integration and Fusion•5 minutes
  • Data Preprocessing•2 minutes
  • Training and Optimization•6 minutes
  • Building the Model•3 minutes
  • Learning Rate Scheduling•4 minutes
  • Regularization Techniques•5 minutes
  • Understanding Loss Functions•5 minutes
  • Optimization Algorithms•5 minutes
  • Gradient Clipping•5 minutes
  • Hyperparameter Tuning•5 minutes
  • Training the Model•5 minutes
  • Importance of Model Evaluation•5 minutes
  • Basic Evaluation Metrics for Diffusion Models•6 minutes
  • Qualitative Evaluation Metrics for Diffusion Models•5 minutes
  • Evaluating the Model•3 minutes
  • Bootstrapping Validation Technique•5 minutes
  • Validation using Ensemble Methods•5 minutes
  • Classical Validation Technique•6 minutes
5 readings•Total 65 minutes
  • Flow-based Architecture•10 minutes
  • Data Preparation•10 minutes
  • Data Splitting and Partitioning•15 minutes
  • Batch Training vs Online Training•15 minutes
  • Understanding Validation Strategies•15 minutes
4 assignments•Total 45 minutes
  • Review and Refinement•10 minutes
  • Transforming Data into Art•10 minutes
  • Mastering the Fundamentals•10 minutes
  • Performance Proofs: Validating Diffusion Models•15 minutes
5 ungraded labs•Total 225 minutes
  • How to Prepare Data Set•45 minutes
  • How to Handle Data Preprocessing•45 minutes
  • Building Your Diffusion Model•45 minutes
  • Training Your Model•45 minutes
  • Model Evaluation•45 minutes

In this module, you'll explore the comprehensive process of building a text-to-image diffusion model, starting from data preparation to model evaluation. You'll begin by learning how to prepare and preprocess datasets specifically tailored for text-to-image tasks, ensuring the data is optimized for high-quality model training. The module will guide you through the steps of constructing the model architecture, followed by detailed training techniques to enhance model performance. Additionally, you'll learn how to evaluate the effectiveness of your model through various metrics and real-world applications. To reinforce learning and ensure a thorough understanding, the module also includes hands-on labs related to each topic.

What's included

1 video3 readings1 peer review

1 video•Total 1 minute
  • Conclusion•1 minute•Preview module
3 readings•Total 17 minutes
  • Ethical Considerations While Using Text-to-Image Diffusion Tools•10 minutes
  • Congratulations•5 minutes
  • Acknowledgments•2 minutes
1 peer review•Total 90 minutes
  • The Final Assignment: Your Model•90 minutes

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Instructors

Fractal Analytics Academy
Fractal Analytics Academy
Fractal Analytics
20 Courses•90,227 learners

Instructors

Fractal Analytics Academy
Fractal Analytics Academy
Fractal Analytics
20 Courses•90,227 learners
Akshesh Shah
Akshesh Shah
Fractal Analytics
1 Course•250 learners

Offered by

Fractal Analytics

Offered by

Fractal Analytics

Continuous learning is imperative to stay relevant in the world of Data Analytics and AI. Fractal Analytics Academy is your learning partner for all your learning requirements. We offer a variety of learning solutions; from instructor led trainings to blended learning and eLearning covering consulting and business skills, technical skills and life skills.

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