This video covers how to train a neural network machine learning model with realtime 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/ml5...

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p5.js Web Editor Sketch: https://editor.p5js.org/codingtrain/s...

Previous:    • ml5.js: KNN Classification Part 3  
Next:    • ml5.js: Save Neural Network Training ...  
All:    • Beginners Guide to Machine Learning i...  

References:
ml5.js Neural Network: https://learn.ml5js.org/#/reference/n...
Titanic Dataset: https://github.com/ml5js/ml5examples...
Color Data: https://github.com/ml5js/ml5examples...
Wekinator: http://www.wekinator.org/

Videos:
Eyeo 2018 Rebecca Fiebrink: https://vimeo.com/287094397
This is not a theremin: https://vimeo.com/306231994
   • But what is a neural network? | Chapt...  

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 multilayer perceptron
8:57 Let's Code!
10:08 Options
11:45 Outputswhat 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.visdebug: 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

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p5.js: https://p5js.org
p5.js Web Editor: https://editor.p5js.org/
Processing: https://processing.org

Code of Conduct: https://github.com/CodingTrain/Codeo...

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