Coding Train Live 95: End of Session 3 + Start of Session 4 of "Intelligence and Learning"
In this live stream, I explain the math behind gradient descent from my previous linear regression video. I also begin exploring the content from Session 4 of the "Intelligence and Learning" course. I build a simple Perceptron example in Processing.
This video is part of the third and fourth session of my ITP "Intelligence and Learning" course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning)
Edited videos:
Maths of Gradient Descent: https://youtu.be/jc2IthslyzM
Perceptron: https://youtu.be/ntKn5TPHHAk
Timestamps:
24:00 - Maths for Gradient Descent
1:39:59 - Coding Challenge: Perceptron
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
🚂 Website: http://thecodingtrain.com/
👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide
🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box
💡 GitHub: https://github.com/CodingTrain
💬 Discord: https://thecodingtrain.com/discord
💖 Membership: http://youtube.com/thecodingtrain/join
🛒 Store: https://standard.tv/codingtrain
🖋️ Twitter: https://twitter.com/thecodingtrain
📸 Instagram: https://www.instagram.com/the.coding.train/
🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 Intro to Programming: 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
References:
Session 3 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression
Session 4 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks
Nature of Code: http://natureofcode.com/
3Blue1Brown's Youtube channel: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
My Gradient Descent video: https://youtu.be/L-Lsfu4ab74
Perceptron on Wikipedia: https://en.wikipedia.org/wiki/Perceptron
Books:
Frank Rosenblatt's paper on the Perceptron: http://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pdf
Make Your Own Neural Network: http://amzn.to/2rDkbt4
Calculus Made Easy: http://amzn.to/2sBvlvQ
Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code
p5.js: https://p5js.org/
Processing: https://processing.org
For more Intelligence and Learning videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX
For my Nature of Code videos: https://www.youtube.com/watch?v=6vX8wT1G798&list=PLRqwX-V7Uu6YVljJvFRCyRM6mmF5wMPeE&index=1
For More Live Streams: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bxnFR6no70vlxxuxDEzflz
Help us caption & translate this video!
http://amara.org/v/7SDJ/
Help us caption & translate this video!
http://amara.org/v/aMfe/
📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
In this live stream, I explain the math behind gradient descent from my previous linear regression video. I also begin exploring the content from Session 4 of the “Intelligence and Learning” course. I build a simple Perceptron example in Processing.
This video is part of the third and fourth session of my ITP “Intelligence and Learning” course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning)
Edited videos:
Maths of Gradient Descent: https://youtu.be/jc2IthslyzM
Perceptron: https://youtu.be/ntKn5TPHHAk
Timestamps:
24:00 – Maths for Gradient Descent
1:39:59 – Coding Challenge: Perceptron
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
🚂 Website: http://thecodingtrain.com/
👾 Share Your Creation! https://thecodingtrain.com/guides/passenger-showcase-guide
🚩 Suggest Topics: https://github.com/CodingTrain/Suggestion-Box
💡 GitHub: https://github.com/CodingTrain
💬 Discord: https://thecodingtrain.com/discord
💖 Membership: http://youtube.com/thecodingtrain/join
🛒 Store: https://standard.tv/codingtrain
🖋️ Twitter: https://twitter.com/thecodingtrain
📸 Instagram: https://www.instagram.com/the.coding.train/
🎥 Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
🎥 Intro to Programming: 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
References:
Session 3 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression
Session 4 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks
Nature of Code: http://natureofcode.com/
3Blue1Brown’s Youtube channel: https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
My Gradient Descent video: https://youtu.be/L-Lsfu4ab74
Perceptron on Wikipedia: https://en.wikipedia.org/wiki/Perceptron
Books:
Frank Rosenblatt’s paper on the Perceptron: http://www.ling.upenn.edu/courses/cogs501/Rosenblatt1958.pdf
Make Your Own Neural Network: http://amzn.to/2rDkbt4
Calculus Made Easy: http://amzn.to/2sBvlvQ
Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code
p5.js: https://p5js.org/
Processing: https://processing.org
For more Intelligence and Learning videos: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX
For my Nature of Code videos: https://www.youtube.com/watch?v=6vX8wT1G798&list=PLRqwX-V7Uu6YVljJvFRCyRM6mmF5wMPeE&index=1
For More Live Streams: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bxnFR6no70vlxxuxDEzflz
Help us caption & translate this video!
http://amara.org/v/7SDJ/
Help us caption & translate this video!
http://amara.org/v/aMfe/
📄 Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct
