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PYTORCH 1
Mastering PyTorch
In this course, we will learn about PyTorch, an open-source framework for AI. We will cover everything from the Tensors computations, custom architectures, and advanced functions in PyTorch. We will also cover how to debug your PyTorch codes to make you confident in debugging codes.
We've packed in plenty of hands-on activities, homework, and instructor consulting to make learning PyTorch enjoyable and rewarding. You will also be able to tackle real-world problems, from image recognition to natural language processing. By the end of this course, you'll have the skills and confidence to tackle any machine-learning challenge with PyTorch. This course is one of a series of courses from 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
PyTorch course page
from Iowa State Online.
Prerequisite
Basic python programming
Basic understanding of deep learning
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.
[more]
Format
Price
Canvas eCourse
$550.00
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