This live stream continues my series on neural networks: Matrix class improvements and the “feed forward” algorithm. I also attempt a coding challenge on image stippling / dithering.

21:11 – Improving Matrix class
55:45 – Feed Forward Neural Networks Pt.1
1:40:15 – Feed Forward Neural Networks Pt.2
2:21:14 – Coding Challenge: Dithering

Schedule and topics:

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To buy Coding Train merchandise:
To Support the Processing Foundation:

Send me your questions and coding challenges!:

Contact:
Twitter:
The Coding Train website:

Links discussed in this video:
The Coding Train on Amazon:
Deeplearn.js:
Repository for Experimentation with p5 and deeplearn.js:
Dither on Wikipedia:
Floyd–Steinberg dithering on Wikipedia:
Sigmoid function on Wikipedia:
Stippling by Robert Hodgin:
My Processing Tutorial on 2D Arrays:
Matrix Multiplication:
Static methods on MDN:

Videos mentioned:
My Neural Networks series:
3Blue1Brown Neural Networks playlist:
3Blue1Brown’s Linear Algebra playlist:
My Tutorial on Pixels in Processing:
My Video on 2D Arrays:

Source Code for the all Video Lessons:

p5.js:
Processing:

For an Introduction to Programming:
For More Live Streams:
For More Coding Challenges: