Coding Train Live 98: Starting Series on Neural Networks

Channel:
United States The Coding Train
Subscribers:
1,740,000
Published on ● Video Link: https://www.youtube.com/watch?v=cmffV5rMSEU


Duration: 2:45:35
22,998 views
707

In this live stream, I begin the long process of building a neural network library. I cover the concept of a "multi-layer perceptron" as well as linear algebra / matrix math.

Timestamps:
30:13 - Intro to Neural Networks
41:38 - Multilayered Perceptron Part 1
1:08:18 - Multilayered Perceptron Part 2
1:48:20 - Linear Algebra for Neural Networks Part 1
2:18:28 - Linear Algebra for Neural Networks Part 2
2:37:00 - Conclusion/Q&A

🚂 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:
O'Reilly AI Conference: https://conferences.oreilly.com/artificial-intelligence/ai-ny
My Simple Artificial Neural Network JavaScript Library: https://github.com/shiffman/Neural-Network-p5
Programming from A to Z: http://shiffman.net/a2z/
The Nature of Code: http://natureofcode.com/
Hadamard product (matrices) on Wikipedia: https://en.wikipedia.org/wiki/Hadamard_product_(matrices)
Brendan Fortuner's Linear algebra cheat sheet for deep learning: https://medium.com/towards-data-science/linear-algebra-cheat-sheet-for-deep-learning-cd67aba4526c
this.dot song: https://soundcloud.com/kristianpedersen/this-dot-feat-daniel-shiffman
Perceptron video: https://youtu.be/ntKn5TPHHAk
NYU Tisch School of the Arts: http://tisch.nyu.edu/
ITP - Interactive Telecommunications Program - NYU: https://tisch.nyu.edu/itp
kwichmann's Learning XOR with a neural net: https://kwichmann.github.io/ml_sandbox/XOR_nn/
Khan Academy's Linear Algebra class: https://www.khanacademy.org/math/linear-algebra
3Blue1Brown's Essence of Linear Algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

Books discussed in this video:
Tariq Rashid's Make Your Own Neural Network: http://amzn.to/2tcVeFS
Marvin Minsky's Perceptrons: http://amzn.to/2u8Jv8f

My Videos mentioned in this video:
Programming from A to Z playlist: https://www.youtube.com/watch?v=HRANU6KtNEs&list=PLRqwX-V7Uu6aoeLx_mWfz6XwtFaD9SkVX
AND and OR: https://www.youtube.com/watch?v=r2S7j54I68c
Playlist on Vectors: https://www.youtube.com/watch?v=mWJkvxQXIa8&list=PLRqwX-V7Uu6ZwSmtE13iJBcoI-r4y7iEc
Dot Product: https://www.youtube.com/watch?v=_ENEsV_kNx8
Nature of Code Playlist: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6aFlwukCmDf0-1-uSR7mklK

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

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/aMf3/

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



Other Videos By The Coding Train


2017-09-16Coding Train Live 100.1: Transformations and Clocks with p5.js - Part 1
2017-09-11Coding Challenge #73: Acrostic
2017-09-09Coding Train Live 99: Back from Hiatus!
2017-07-20Code Dictation Experiments and Bike Accident Update
2017-07-07Hello again! (Update on bike accident)
2017-07-0310.7: Neural Networks: Matrix Math Part 2 - The Nature of Code
2017-07-0210.6: Neural Networks: Matrix Math Part 1 - The Nature of Code
2017-06-3010.5: Neural Networks: Multilayer Perceptron Part 2 - The Nature of Code
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"


Tags:
JavaScript (Programming Language)
live
programming
daniel shiffman
creative coding
coding challenge
tutorial
coding
challenges
coding train
the coding train
nature of code
artificial intelligence
live stream
itp nyu
neural network
intelligence creative coding
neural network artist
intelligence and learning
machine learning
machine learning art
perceptron
linear algebra
multilayered perceptron
neural network intro
XOR neural network
neural net