3.1.1 Teachable Machine

This video demonstrates how to use Google's Teachable Machine to create an image classification model by collecting training images from different categories (such as can recycling, paper recycling, and garbage), training the algorithm to recognize differences between them, and exporting the model for use in Scratch programming. The process involves three main stages: data collection from multiple angles, model training, and model export. A key insight is that machine learning models only recognize what they were explicitly trained on, so adding a 'none' class helps the model correctly identify when no recognized object is present.