Welcome to today's class! Below, you will find everything you need for today's class 1. Project Bazaar! Station A – https://pose-animator-demo.firebaseapp.com/camera.htmlStation B – https://spite.github.io/FaceMeshFaceGeometry/examples/mask/index.html 2. What’s the Training Data? a) What training data does your phone's face unlock need? What training data does a voice-to-text program (i.e., Siri, Google Assistant) need? When you open Youtube, it automatically suggests videos to you. What training data that Youtube may use to recommend videos to you? 3. Let’s train a model together! What do you notice about these two examples? Image Model Pose Model What happens with a different background? How would you break the model? Any other observations? 4. Train your own model! Describe or draw the 2 or 3 poses that you’ll train your model to classify: Class 1 Clear Area Class 2 Clear Area Class 3 (Optional...) Clear Area Now train your own models! Teachable Machine – Train an IMAGE-based model Teachable Machine – Train a POSE-based model Now play around with your models! What do you notice? What kind of features do you think your model uses to make classifications? Try to break your model -- move around and make changes that could affect model performance. What makes the model confused? 5. Image vs Poses a) What are the differences between images and poses? b) What are the pros and cons of using images versus poses? 6. Project - Build an AI Interaction! https://playground.raise.mit.edu/create/