TrainAModel

Week 4 Train a model with Tensorflow Lite / Tensorflow.js / ml5.js

Notes:

• Understand the full story of building a ML model for classification or regression.
• Understand how data is formatted and downloaded including CSV and JSON.
• Consider how to frame the problem and collect data.
• Understand critical questions to ask (e.g. Who is this for? What’s the context?)
• Understand the questions to ask about sourcing and collecting data.
• Learn how to prepare a dataset, including how to normalize and properly format it.

Workshop:

• How to Collecting IMU data on Arduino Nano 33 BLE Sense