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College of Engineering
Mechanical Engineering
GM 1
Generative Models
Mark
This educational resource is no longer available.
Elevate your machine learning skills with our comprehensive course, "Generative Models". This course covers everything you need to know about generative models, from the basics of discriminative vs. generative models to advanced techniques like variational autoencoders, generative adversarial networks, and diffusion models.
Engage in hands-on activities, solve real-world problems in image and time-series generation, and receive expert guidance from our instructors. By the end of this course, you’ll have the knowledge and confidence to tackle any machine-learning challenge using generative models. Join us and become a leader in the AI field!
This course is one of 6 courses in the Foundations of AI pilot micro-credential pathway offered by the
Translational AI Center
at
Iowa State University
.
For more information regarding the course including: Learning Outcomes, Assessments, and a Course Outline please visit the
Generative Models course page
from Iowa State Online.
Prerequisite
Basic Python programming
Basic understanding of deep learning models
Basic understanding of generative AI
Basic PyTorch programming
Intended Audience
The course is intended for a broad audience within the spectrum of the software and technology industry, including software engineers, data scientists, data engineers, data analysts, research scientists, and software developers. The course is designed to provide a basic understanding of AI and how to use PyTorch for a broad range of audiences.
Pages / Length:
4 modules
Publication Date:
11/2024
Available Stock:
Permanent link for this product:
https://store.extension.iastate.edu/product/17075
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