ml5.js: Pose Regression with PoseNet and ml5.neuralNetwork()
ML5 Beginners Guide Lesson #7.3
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.
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Links discussed in this lesson
Videos discussed in this lesson
- ml5.js Pose Estimation with PoseNet by The Coding Train
- ml5: Neural Network Regression by The Coding Train
- ml5.js: Train Your Own Neural Network by The Coding Train
- async/await by The Coding Train