Deep Learning for Intelligent Video Analytics

Programme Overview

This workshop teaches you how to build object detection and tracking models to analyze data from large-scale video streams using NVIDIA DeepStream technology. You’ll access hands-on tasks to build, train, and deploy deep learning models to analyze parking lot camera feeds of a hardware-accelerated traffic management system. At the end of the workshop, you’ll have access to additional resources to design and deploy intelligent video analytics (IVA) applications on your own.

Course Content

At the conclusion of the workshop, you’ll be able to:

  • Understand data normalization, annotation, and metadata formatting in IVA applications
  • Wrangle video data and perform raw data ingestion into underlying models
  • Deploy deep learning models for accurate and effective object detection and tracking applications
  • Accelerate the development of IVA applications by using the DeepStream framework

Key Information


Experience with deep neural networks (specifically variations of convolutional neural networks); intermediate-level experience with C and Python

Libraries, Tools & Framework

TensorFlow, DeepStream 3.0

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