10.10: Neural Networks: Matrix Math Part 4 - The Nature of Code

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This video continues the "Matrix Math" series where I attempt to implement in JavaScript the math operations required for a simple neural network library. In this 4th part, I implement a transpose() function for a matrix.


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)

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Links discussed in this video:
The Nature of Code: http://natureofcode.com/
Session 4 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks


Videos mentioned in this video:
3Blue1Brown Neural Networks playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
3Blue1Brown's Linear Algebra playlist: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab


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

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


The Nature of Code playlist: https://www.youtube.com/user/shiffman/playlists?view_as=subscriber&shelf_id=6&view=50&sort=dd
For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
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