ml5.js: Pose Regression with PoseNet and ml5.neuralNetwork()

The Coding Train

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.

๐ŸŽฅNext video: coming soon?
๐ŸŽฅBeginners Guide to Machine Learning:

๐Ÿ”—Color Regression by Darshan Sen:

๐ŸŽฅ ml5: Neural Network Regression:
๐ŸŽฅ ml5.js Pose Estimation with PoseNet:
๐ŸŽฅ ml5.js: Pose Classification with PoseNet and ml5.neuralNetwork():
๐ŸŽฅ async/await:

๐Ÿš‚ Website:
๐Ÿ’– Membership:
๐Ÿ›’ Store:
๐Ÿ“š Books:

๐ŸŽฅ Coding Challenges:
๐ŸŽฅ Intro to Programming:

๐Ÿ”— p5.js:
๐Ÿ”— Processing:

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