Neural Networks Explained: Building a Perceptron in Processing 🤖

In this video, I continue my machine learning series and build a simple Perceptron in Processing. Code: https://thecodingtrain.com/tracks/neural-networks/neural-networks/2-perceptron-part-1

🎥 Previous: https://youtu.be/XJ7HLz9VYz0
🎥 Next: https://youtu.be/DGxIcDjPzac

References:
🔗 Make Your Own Neural Network: https://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G
🔗 Perceptrons: https://www.amazon.com/Perceptrons-Introduction-Computational-Geometry-Expanded/dp/0262631113
🔗 Perceptron: https://en.wikipedia.org/wiki/Perceptron
🔗 Intelligence and Learning: https://github.com/nature-of-code/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks

Timestamps:
0:00 Introduction
0:54 What is a perceptron?
3:17 Classify whether a point is above/below a line
5:25 Supervised learning
7:55 Activation functions
10:22 Initializing the weights
11:39 Perceptron class
13:19 Guess function
18:55 Create a dataset
23:10 Supervised learning
25:16 Updating weights
28:33 Training
31:00 Learning rate
38:06 Train one point at a time
41:35 Bias
44:24 Thanks for watching!

Editing by Mathieu Blanchette
Animations by Jason Heglund
Music from Epidemic Sound

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🎥 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

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#neuralnetworks #perceptron #processing