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