
ml5.js: Pose Regression with PoseNet and ml5.neuralNetwork()
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.
💻Code: https://thecodingtrain.com/Courses/ml5-beginners-guide/7.3-pose-regression.html
🎥Next video: coming soon?
🎥Beginners Guide to Machine Learning: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y
🔗Color Regression by Darshan Sen: https://editor.p5js.org/raisinten/sketches/Ho2LJo4Iw
🎥 ml5: Neural Network Regression: https://youtu.be/fFzvwdkzr_c
🎥 ml5.js Pose Estimation with PoseNet: https://youtu.be/OIo-DIOkNVg
🎥 ml5.js: Pose Classification with PoseNet and ml5.neuralNetwork(): https://youtu.be/FYgYyq-xqAw
🎥 async/await: https://youtu.be/XO77Fib9tSI
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🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 Intro to Programming: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
🔗 p5.js: https://p5js.org
🔗 Processing: https://processing.org