10.2: Neural Networks: Perceptron Part 1 - The Nature of Code

Channel:
United States The Coding Train
Subscribers:
1,740,000
Published on ● Video Link: https://www.youtube.com/watch?v=ntKn5TPHHAk


Duration: 44:39
483,674 views
8,841

In this video, I continue my machine learning series and build a simple Perceptron in Processing (Java).

Perceptron Part 2: https://youtu.be/DGxIcDjPzac

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)

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:
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
Frank Rosenblatt's paper on the Perceptron: http://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pdf
My Gradient Descent video: https://youtu.be/L-Lsfu4ab74


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

Help us caption & translate this video!

http://amara.org/v/7hHs/

📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct



Other Videos By The Coding Train


2017-06-2710.4: Neural Networks: Multilayer Perceptron Part 1 - The Nature of Code
2017-06-2610.1: Introduction to Neural Networks - The Nature of Code
2017-06-24Coding Train Live 98: Starting Series on Neural Networks
2017-06-20Coding Challenge #72: Frogger Refactoring
2017-06-1910.3: Neural Networks: Perceptron Part 2 - The Nature of Code
2017-06-16Coding Challenge #72: Frogger - Part 3
2017-06-15Coding Challenge #72: Frogger - Part 2
2017-06-14Coding Challenge #72: Frogger - Part 1
2017-06-13Live Stream #97: Perceptron Follow-up and Frogger Refactoring
2017-06-09Live Stream #96: Frogger
2017-06-0810.2: Neural Networks: Perceptron Part 1 - The Nature of Code
2017-06-053.5: Mathematics of Gradient Descent - Intelligence and Learning
2017-06-03Coding Train Live 95: End of Session 3 + Start of Session 4 of "Intelligence and Learning"
2017-05-313.4: Linear Regression with Gradient Descent - Intelligence and Learning
2017-05-303.3: Linear Regression with Ordinary Least Squares Part 2 - Intelligence and Learning
2017-05-293.2: Linear Regression with Ordinary Least Squares Part 1 - Intelligence and Learning
2017-05-27Coding Train Live 94: Session 3 of “Intelligence and Learning” - Part 3
2017-05-25Coding Train Live 93: Session 3 of “Intelligence and Learning” Continued
2017-05-25ITP Spring Show 2017
2017-05-18Coding Challenge #71: Minesweeper
2017-05-17Live Stream Archive - ITP Spring Show 2017


Tags:
programming
daniel shiffman
creative coding
coding challenge
tutorial
coding
challenges
coding train
the coding train
nature of code
artificial intelligence
itp nyu
neural network
intelligence creative coding
neural network artist
intelligence and learning
machine learning
machine learning art
linear regression
gradient descent
perceptron
perceptron processing
processing(java)
java perceptron
machine learning processing
machine learning java