Welcome to the teachable machine module! This handout contains information for the tutorial, individual assignment, and group assignment. This module has the following learning goals:
- Goal 1: to acquire proficiency in using Teachable Machine.
- Goal 2: to recognize the consequences of dataset composition and imbalance.
- Goal 3: to evaluate the effect of dataset bias and images not in the distribution on performance.
Before attending the tutorial, complete the tasks listed in the Preparation section. We will discuss your results & reflections at the beginning of the tutorial session.