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David Jarron

Software Developer
Solv3D
Uczestniczy w 1 Element

David did his masters in geomatics engineering at the University of Calgary, specializing in digital imaging systems. His thesis topic, automatic calibration methodologies for mobile mapping systems, was based on research done collaboratively with an industry partner, providing an opportunity to gain industry knowledge on the topic. 

Elementy, w których David Jarron uczestniczy

poniedziałek 6 listopad, 2023

Strefa czasowa: (GMT-05:00) Eastern Time (US & Canada)
15:30
15:30 - 17:00 | 1 godz. 30 min.
Reality Capture & Digital Twins

This workshop will cover the basics of deep learning:- What is deep learning?- A typical workflow using deep learning technology to identify objects (hands-on)- Issues to be aware of when using deep learning technology.- Options for deep learning tools.You need to bring a wifi equipped laptop, as we will be using a cloud-based virtual machine for you to do the exercises.Location: SAIT -