Generative AI with Diffusion Models (Part 2 of 3)
This three-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.
The second session will focus on autoencoders and variational autoencoders and then go toward diffusion models.
- The third session (Nov 18) focuses on diffusion models and how to train them.
Important
This is the second session of a three-part course. Register for the series through session 1.
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.
- Completion of Session 1 held on Nov 4
- Date:
- Monday, November 11, 2024 Show more dates
- Time:
- 1:00pm - 3:00pm
- Location:
- The Catalyst (Parks 199)
- Audience:
- Faculty Grad students & postdocs ISU staff Undergrads
- Categories:
- Workshop > The Catalyst
Office hours will be held for this class from 3-4 p.m., on Mondays, November 4, 11, and 18.
This workshop is part of a collaboration between Transitional AI Center (TrAC) and University Library to bring classes from the NVIDIA Deep Learning Institute to Iowa State. Questions about the program can be sent to trac@iastate.edu