Deep Learning for Full Motion Video Analytics
Prerequisites: Basic familiarity with concepts of deep learning and convolutional neural networks
Smart Cities collect huge amounts of video footage that require advanced deep learning techniques to transform data into actionable insights. Learn how to deploy object detection and neural networks to work on real-time, large-scale video streams. In this course, you’ll learn how to:
- Train and evaluate deep learning models using the TensorFlow Object Detection API
- Explore the strategies and trade-offs involved in developing high-quality neural network models for track moving objects in large-scale video datasets
- Optimize inference times using TensorRT for real-time applications
Upon completion, you’ll be able to deploy object detection and tracking networks to work on real-time, large-scale video streams.