Course Outline
Introduction
Understanding Hardware Accelerated Decoding Methods
Overview of NVidia DeepStream SDK
Setting up the Development Environment
Preparing a Video Feed
Processing a Video Feed
Training a Deep Learning Model
How Transfer Learning Works
Improving the Model's Accuracy Through Transfer Learning
Developing a Neural Network Model to Track Moving Objects
Running a Video Analytics Inference Engine
Deploying the Inference Engine
Integrating a Deep Learning Model with an Application
Deploying an Intelligent Video Analytics (IVA) Application
Monitoring the Application
Optimizing the Inference Engine and Application
Troubleshooting
Summary and Conclusion
Requirements
- An understanding of deep neural networks
- Python and C programming experience
Audience
- Developers
- Data scientists
Testimonials (2)
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.
Jenny - Andheo
Course - GPU Programming with CUDA and Python
I genuinely enjoyed the hands-on approach.