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TensorFlow Lite

Deploy ML on mobile and edge devices.

Course Duration: 8 hours​

What You'll Learn​

  • TFLite conversion
  • Model optimization
  • Mobile deployment
  • Edge TPU
  • On-device training
  • Performance optimization

Prerequisites​

  • TensorFlow basics
  • Mobile development basics

Course Modules​

  1. Introduction to Edge AI
  2. TFLite Converter
  3. Quantization (Post-training, QAT)
  4. Model Optimization Toolkit
  5. Android Deployment
  6. iOS Deployment (Core ML)
  7. Raspberry Pi Deployment
  8. Edge TPU (Coral)
  9. TFLite Micro
  10. On-Device Training
  11. Performance Profiling
  12. Project: Mobile Image Classifier

Topics Covered​

  • TensorFlow Lite
  • Quantization
  • Mobile ML
  • Edge TPU