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Fundamentals of Deep Learning for Computer Vision is a Course

Fundamentals of Deep Learning for Computer Vision

Ended Mar 8, 2019
3.0 credits

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Full course description

Date: March 8th, 2019
Time: 1:00pm to 4:00pm
Location: Torgersen Hall room 1100
Instructor(s): Robert Settlage and Alana Romanella, ARC

Description:
The NVIDIA Deep Learning Institute (DLI) and Virginia Tech invite you to attend a hands-on deep learning workshop on March 8th, 2019 from 1-4 pm at 1100 Torg, 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.

Learning objectives:
At the conclusion of the workshop, you will have an understanding of the fundamentals of deep learning and be able to:
● Implement common deep learning workflows, such as image classification and object detection.
● Experiment with data, training parameters, network structure, and other strategies to increase performance and capability of neural networks.
● Integrate and deploy neural networks in your own applications to start solving sophisticated real-world problems