Neural Networks Explained: Building Multilayer Perceptrons for Advanced AI 🤖

In this video, I move beyond the Simple Perceptron and discuss what happens when you build multiple layers of interconnected perceptrons ("fully-connected network") for machine learning. Code: https://thecodingtrain.com/tracks/neural-networks/neural-networks/4-multilayer-perceptron-part-1

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🎥 Next: https://youtu.be/IlmNhFxre0w

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
🔗 My video on AND and OR: https://youtu.be/r2S7j54I68c
🔗 My video on Perceptrons: https://youtu.be/ntKn5TPHHAk
🔗 kwichmann's Learning XOR with a neural net: https://kwichmann.github.io/ml_sandbox/XOR_nn/

Related Coding Challenges:
🚂 https://youtu.be/tIXDik5SGsI
🚂 https://youtu.be/188B6k_F9jU

Timestamps:
0:00 Introduction
1:54 Classification example
3:19 Perceptrons
3:48 Linearly separable problems
5:07 XOR
15:22 Outro

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

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#neuralnetworks #perceptron #javascript