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I discuss the process behind “transfer learning” with ml5's feature extractor. Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/2-transfer-learning/1-transfer-learning 🎥 Previous: https://youtu.be/ABN_DWnM5GQ?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 Next: https://youtu.be/eeO-rWYFuG0?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: 💻 ml5.js: https://ml5js.org/ 💻 Teachable Machine: https://teachablemachine.withgoogle.com/ 💻 Image-Net: https://image-net.org/ Timestamps: 0:00 Introduction 2:26 Teachable Machine 5:05 The machine only knows about pixels 5:58 Image Classification: MobileNet 7:08 Feature Extractor 7:54 Convolutional Layers 8:24 Features: extraction the "numeric essence" of an image 9:24 Retraining the model 11:37 Turning a feature extractor into a classifier 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 #imageclassification #featureextractor #ml5js #p5js
