TOC

Day 29: No Code Day

Repo for Day 29

For all the previous topics, between the examples and my own ideas, it was pretty easy to just make a little thing as a quicky. Today I didn't have an idea that immediately appealed to me that I could whack out in a day, but I did decide to stay steeped in the material by watching videos. Also I have a cold. So does the cat. "Watched" might have been more "slept while listening to."

Chapter 9: Genetic Algorithms 2nd Half

Some of this evolving code stuff seems like taking away the fun part. The feeling of how things work is the art. That said, if I had decided to code something I probably would have explored something starting from here:

• Food finder, poison avoider code https://editor.p5js.org/codingtrain/sketches/xgQNXkxx1
• from this video: https://www.youtube.com/watch?v=VnFF5V5DS8s&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV&index=19
• Repo with examples https://github.com/nature-of-code/noc-examples-p5.js/tree/master/chp09_ga

Chapter 10: Neural Network Videos & Reading

Kept watching....

• Playlist : https://www.youtube.com/watch?v=XJ7HLz9VYz0&list=PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh

• NOC Link: https://github.com/nature-of-code/noc-syllabus-S23/tree/main/module09-neuro

• https://en.wikipedia.org/wiki/Perceptron

• Make Your Own Neural Network, Tariq Rashid https://amzn.to/3HjjzOm
• Has Perceptron: https://github.com/nature-of-code/NOC-S17-2-Intelligence-Learning/tree/master/week4-neural-networks
• William Flake, The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems, and Adaptation https://amzn.to/3JIw2hJ

Other

• 3Blue1Brown https://www.youtube.com/watch?v=aircAruvnKk&list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
  • http://neuralnetworksanddeeplearning.com/
  • https://github.com/mnielsen/neural-networks-and-deep-learning
  • https://colah.github.io/
  • https://distill.pub/
  • http://yann.lecun.com/exdb/mnist/
• MIT 6.034 2015 supplement video 12a https://www.youtube.com/watch?v=uXt8qF2Zzfo
• MIT MIT RES.LL-005 Mathematics of Big Data and Machine Learning, IAP 2020 https://www.youtube.com/watch?v=t4K6lney7Zw
  • https://ocw.mit.edu/courses/res-ll-005-mathematics-of-big-data-and-machine-learning-january-iap-2020/
• Math Class 18.065 https://www.youtube.com/watch?v=lZrIPRnoGQQ