Beginners Guide to Machine Learning in JavaScript - ml5.js: Save/Load Model

In this video, I discuss how to save and load an image classification model (trained using the "feature extractor") in ml5.js. Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/4-save-and-load-model/1-save-load-model 🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/1g9C6OKX 🎥 Previous: https://youtu.be/aKgq0m1YjvQ?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 Next: https://youtu.be/KTNqXwkLuM4?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: 💻 ml5.js: https://ml5js.org/ Videos: 🚂 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 https://www.youtube.com/watch?v=aircAruvnKk Timestamps: 0:00 Introduction 0:22 Saving and loading the feature extractor 3:41 The model.json and model.weights.bin files 4:03 What are we saving? 7:15 Let's look at the files. 8:16 Load the mobileNet model 10:38 Start Classifying Editing by Mathieu Blanchette Animations by Jason Heglund Music from Epidemic Sound 🚂 Website: https://thecodingtrain.com/ 👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide 🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box 💡 GitHub: https://github.com/CodingTrain 💬 Discord: https://thecodingtrain.com/discord 💖 Membership: http://youtube.com/thecodingtrain/join 🛒 Store: https://standard.tv/codingtrain 🖋️ Twitter: https://twitter.com/thecodingtrain 📸 Instagram: https://www.instagram.com/the.coding.train/ 🎥 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH 🎥 https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA 🔗 p5.js: https://p5js.org 🔗 p5.js Web Editor: https://editor.p5js.org/ 🔗 Processing: https://processing.org 📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct This description was auto-generated. If you see a problem, please open an issue: https://github.com/CodingTrain/thecodingtrain.com/issues/new #machinelearningml #featureextractor #ml5js #p5js