Lesson 3: Intermediate Machine Learning Techniques

Building upon our fundamental knowledge, this lesson dives deeper into advanced machine learning concepts and their practical implementation on the Jetson platform. Let's explore more sophisticated techniques and their real-world applications.

Learning Objectives

In this lesson, you will:

• Understand advanced model architectures and their trade-offs
• Learn about model optimization techniques for edge devices
• Explore transfer learning and fine-tuning approaches
• Master important concepts:
  • model quantization
  • pruning
  • knowledge distillation
  • batch processing
• Implement and benchmark different model architectures on Jetson
• Analyze model performance and resource utilization