10.3: Neural Networks: Perceptron Part 2 - The Nature of Code

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This is a follow-up to my Perceptron Video (https://youtu.be/ntKn5TPHHAk)

This video is part of Chapter 10 of The Nature of Code (http://natureofcode.com/book/chapter-10-neural-networks/)

This video is also part of session 4 of my Spring 2017 ITP "Intelligence and Learning" course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks)

Source Code from my first Perceptron Coding Challenge: https://github.com/CodingTrain/Rainbow-Code/tree/master/CodingChallenges/CC_72_SimplePerceptron

Simple Perceptron code examples:
p5.js: https://github.com/shiffman/The-Nature-of-Code-Examples-p5.js/tree/master/chp10_nn/NOC_10_01_Perceptron
Processing: https://github.com/shiffman/The-Nature-of-Code-Examples/tree/master/chp10_nn/NOC_10_01_SimplePerceptron

Support this channel on Patreon: https://patreon.com/codingtrain
To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/
To donate to the Processing Foundation: https://processingfoundation.org/

Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics

Contact:
Twitter: https://twitter.com/shiffman
The Coding Train website: http://thecodingtrain.com/

Links discussed in this video:
My video on the map() function: https://youtu.be/nicMAoW6u1g
My video explaining object overloading: http://youtu.be/V7k5bFQbhG0
My Perceptron Coding Challenge: https://youtu.be/ntKn5TPHHAk
Session 4 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks
Perceptron on Wikipedia: https://en.wikipedia.org/wiki/Perceptron


Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code

p5.js: https://p5js.org/
Processing: https://processing.org

For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
For More Intelligence and Learning: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX

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