Since the launch of the original Teachable Machine in 2017 the Creative Lab started hearing from people using it for different reasons, from teachers exploring machine learning concept with students to hands-on workshops with industry professionals.

Iā€™m part of a small team creating a V2 of Teachable Machine. This new tool, built on Tensorflow.js, lets users train different types of classification models (based on images, audio, and pose), save those models and use them in their own projects.

Currently in beta.


Tools: Tensorflow.js

Year: ongoing

Team: Kyle Phillips, Barron Webster, Jordan Griffith, Emily Harms, Jonas Jongejan

Role: Engineering, UX Design

Link: Beta page, ML libraries on Github