Course Hive
Search

Welcome

Sign in or create your account

Continue with Google
or
ml5.js: Train Your Own Neural Network
Play lesson

Beginners Guide to Machine Learning in JavaScript - ml5.js: Train Your Own Neural Network

4.0 (0)
12 learners

What you'll learn

This course includes

  • 10 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Keywords

Full Transcript

This video covers how to train a neural network machine learning model with real-time interactive data in ml5.js. The example demonstrated uses the mouse as input and performs classification (the assigned label is a musical note). Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/6-train-your-own-neural-network/1-train-the-model 🚀 Watch this video ad-free on Nebula https://nebula.tv/videos/the-coding-train-yt-ml5-js-train-your-own-neural-network 🕹️ p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/sketches/zwGahux8a 🎥 Previous: https://youtu.be/JWsKay58Z2g?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 Next: https://youtu.be/q6cwxORPDo8?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y 🎥 All: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y References: 💾 ml5.js Neural Network: https://learn.ml5js.org/#/reference/neural-network 🔗 Titanic Dataset: https://github.com/ml5js/ml5-examples/blob/release/p5js/NeuralNetwork/NeuralNetwork_titanic/data/titanic_cleaned.csv 💾 Color Data: https://github.com/ml5js/ml5-examples/blob/release/p5js/NeuralNetwork/NeuralNetwork_color_classifier/data/colorData.json 💾 Wekinator: http://www.wekinator.org/ Videos: 🎥 Eyeo 2018 - Rebecca Fiebrink: https://vimeo.com/287094397 🎥 This is not a theremin: https://vimeo.com/306231994 🎥 https://www.youtube.com/watch?v=aircAruvnKk Timestamps: 0:00 Introduction 1:42 Wekinator Project 2:42 History of creative artists 3:10 What is a neural network? 5:30 Steps 7:22 Feed forward multi-layer perceptron 8:57 Let's Code! 10:08 Options 11:45 Outputs--what is the label? 12:30 Task 12:55 Collect training data 13:50 Target label 16:52 Training the model 17:35 What is an epoch? 18:47 Callbacks 19:44 tfjs.vis--debug: true 20:10 Normalizing the data 22:33 What is loss? 24:27 Learning rate 25:49 Prediction 26:09 Add state variable? 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 #neuralnetwork #machinelearningml #ml5js #p5js

Course Hive

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Related Courses

FAQs

Course Hive
Download CourseHive
Keep learning anywhere