This tutorial builds on the previous video combining PoseNet and ml5.neuralNetwork(). Once again, the output of the pre-trained model (the “pose” itself) is the input to an ml5.js neural network. However, this time the final output is a regression (3 continuous values) instead of classification.
🎥Next video: coming soon?
🎥Beginners Guide to Machine Learning:
🔗Color Regression by Darshan Sen:
🎥 ml5: Neural Network Regression:
🎥 ml5.js Pose Estimation with PoseNet:
🎥 ml5.js: Pose Classification with PoseNet and ml5.neuralNetwork():
🎥 Coding Challenges:
🎥 Intro to Programming: