Course
Deep Learning for Computer Vision
Ended Dec 9, 2019
4 credits
Spots remaining: 6
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Full course description
Term: Fall 2019
Date: December 9th, 2019
Time: 12:30pm - 4:30pm
Location: Torgerson 1100
Instructor: Robert Settlage
Presented By: Advanced Research Computing (ARC)
Description:
The NVIDIA Deep Learning Institute (DLI) and Virginia Tech invite you to attend a hands-on deep learning workshop exclusively for verifiable academic students, staff, and researchers. NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.About This Workshop:This workshop teaches deep learning techniques for a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU-accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to: building and deploying deep learning applications for image classification and object detection, modifying your neural networks to improve their accuracy and performance, and implementing the workflow you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.
Date: December 9th, 2019
Time: 12:30pm - 4:30pm
Location: Torgerson 1100
Instructor: Robert Settlage
Presented By: Advanced Research Computing (ARC)
Description:
The NVIDIA Deep Learning Institute (DLI) and Virginia Tech invite you to attend a hands-on deep learning workshop exclusively for verifiable academic students, staff, and researchers. NVIDIA DLI offers hands-on training for developers, data scientists, and researchers looking to solve challenging problems with deep learning and accelerated computing.About This Workshop:This workshop teaches deep learning techniques for a range of computer vision tasks through a series of hands-on exercises. You will work with widely-used deep learning tools, frameworks, and workflows to train and deploy neural network models on a fully-configured, GPU-accelerated workstation in the cloud. After a quick introduction to deep learning, you will advance to: building and deploying deep learning applications for image classification and object detection, modifying your neural networks to improve their accuracy and performance, and implementing the workflow you have learned on a final project. At the end of the workshop, you will have access to additional resources to create new deep learning applications on your own.