Print the page
Add to a Calendar using iCal
Share page on Facebook
Add to Google Calendar
Share page on Twitter
Part 1 of 2: Generative AI with Diffusion Models
This two-part workshop will dive deeper into denoising diffusion models, which are a popular choice for text-to-image pipelines.
Applications of this technology include creative content generation, data augmentation, simulation and planning, anomaly detection, drug discovery, personalized recommendations, and more. Each session is roughly divided into 3 hours of active teaching and 1 hour of extra Q&A.
Three components below will spread over the two sessions:
- U-Net architecture and training a model to remove noise from an image.
- Autoencoders and variational autoencoders and then go toward diffusion models.
- Diffusion models and how to train them.
At the end of course, you can obtain a NVIDIA Certificate if you pass the assessment.
- Date:
- Monday, October 6, 2025 Show more dates
- Time:
- 1:00pm - 5:00pm
- Location:
- The Catalyst (Parks 199)
- Audience:
- Faculty Grad students & postdocs ISU staff Undergrads
- Categories:
- Workshop > The Catalyst
Important
This is a two-part course. Make sure you can attend both sessions before you register.
A laptop is required to participate. Students can borrow a laptop through the library’s Tech Lending program.
Prerequisites:
- A basic understanding of Deep Learning Concepts.
- Familiarity with a Deep Learning framework such as TensorFlow, PyTorch, or Keras. This course uses PyTorch.