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College of Engineering
Mechanical Engineering
GNN 1
Graph Neural Network
Mark
Elevate your machine learning skills with our comprehensive course, "Graph Neural Network". This course covers everything you need to know about graph neural network models, including the basics of graph machine learning, advanced graph neural networks with various mechanisms, and how to leverage these models to address specific real-world problems.
In this course, you will engage in hands-on activities and solve real-world problems such as in image recognition and time-series prediction, while receiving 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 graph neural networks. Join us and become a leader in the AI field!
This course is one of 6 courses in the Advanced AI Techniques 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
Graph Neural Network course page
from Iowa State Online.
Prerequisites
Basic Python programming
Basic understanding of deep learning
Basic understanding of graphical concepts
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:
10/2024
Available Stock:
Format
Price
Canvas eCourse
$
500.00
Add to Cart
Permanent link for this product:
https://store.extension.iastate.edu/product/17073
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