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