Introduction to "Intelligence and Learning"
This video begins a new series accompanying my ITP spring 2017 course "Intelligence and Learning". The syllabus to this class can be found here: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning
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Links discussed in this video:
The Nature of Code Part 2 (Spring 2017) - Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning
Nature of Code: http://natureofcode.com/
Creative Applications of Deep Learning with TensorFlow on Kadenze: https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow/info
Andrew Glassner on Twitter: https://twitter.com/AndrewGlassner
Books and Papers:
Artificial Intelligence: A Modern Approach: http://aima.cs.berkeley.edu/
Make Your Own Neural Network: https://www.amazon.com/Make-Your-Own-Neural-Network/dp/1530826608/ref=sr_1_1?ie=UTF8&qid=1490467600&sr=8-1&keywords=Make+Your+Own+Neural+Network
Grokking Algorithms book: https://www.manning.com/books/grokking-algorithms
Grokking Deep Learning: https://www.amazon.com/Grokking-Deep-Learning-Andrew-Trask/dp/1617293709/ref=as_li_ss_tl?ie=UTF8&linkCode=sl1&tag=natureofcode-20&linkId=5f6a237d0dd9051865f5e837ca7e0085
Patrick Henry Winston's website: http://people.csail.mit.edu/phw/
Craig Reynolds' Steering Behaviors: http://www.red3d.com/cwr/steer/
McCullogh-Pitts and Perceptron Models: http://ecee.colorado.edu/~ecen4831/lectures/NNet2.html
Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code
p5.js: https://p5js.org/
Processing: https://processing.org
For More Coding Challenges: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
For an Intro to Programming using p5.js: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA
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