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Next Step, beyond classification, other tools

Workflow for ML projects

  1. Decide on a goal
  2. Collect a dataset
  3. Design a model architecture
  4. Train the model
  5. Convert the model
  6. Run inference
  7. Evaluate and troubleshoot

Deisgn Your Own TinyML Applications

  • Read more in TinyML book Chapter 14
  • The Design Process
  • Do You Need a Microcontroller, or Would a Larger Device Work?
  • Understanding What’s Possible
  • Follow in Someone Else’s Footsteps
  • Find Some Similar Models to Train
  • Look at the Data
  • Wizard of Oz-ing
  • Get It Working on the Desktop First

Examples

Tools

Power

Homework

Keep working on the final assignment