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Week 1 : TinyML- 0x01

In the first week, we will go to take a look at the tinyML and its applications. Introduction Slide

  • Foundation topics
    • Fundamentals of ML
    • Fundamentals of deep learning
    • How do you train ML
  • Introduction to embedded systems
  • How are they different from regular hardware?
  • What are some ethical considerations while dealing with ML?
  • Introduction to tinyML
  • Application of tinyML
  • TinyML VS Trandional ML
  • Demo Project.
  • Explaining the learning pathway and required hardware