Machine Learning with ML5
Progress Documentation Hello, this page is for my Machine Learning project for Paul Robert's Digital Interventions class MADT 201. Students have been tasked with creating interactive artwork and light Machine Learning research using the ML5.js data libraries and P5.js. We have been given the option to train AI and develop databases but due to time constraints i've decided to utilize existing libraries re-appropriated for my creative use. The ML5.js reference contains a healthy amount of pre-trained models from Image classifiers, body and facial rigging to generative text AI. I have decided to use the Sound Classification reference with my project but eventually I do want to record my own library for audio visualizing suited for performances and interactive installations. This model recognizes speech commands is currently trained to discern words: numbers from 0-9, up, down, left, right, go, stop, yes, no, and other options. ...