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
 14 Hours

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