NVIDIA WEBINAR
This webinar teaches you how to build object detection and tracking models to analyze data from large-scale video streams using NVIDIA DeepStream technology. You will learn how to build, train, and deploy deep learning models to analyze large volumes of video data. 5G networking is central to intelligent connectivity as it allows for low latency transfers of huge volumes of video and other IOT data. The knowledge gathered in this course can be applied to a wide range of 5G centered intelligent video analytics applications.
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Adam Grzywaczewski is a senior deep learning data scientist at NVIDIA, where his primary responsibility is to support a wide range of customers in delivery of their deep learning solutions. Adam is an applied research scientist specializing in machine learning with a background in deep learning and system architecture. Previously, he was responsible for building up the UK government’s machine-learning capabilities while at Capgemini and worked in the Jaguar Land Rover Research Centre, where he was responsible for a variety of internal and external projects and contributed to the self-learning car portfolio.
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Date & Time: Wednesday, April 22, 2018