Code for mnist chicken experiments. Note that this code was written a long time ago and is not maintained.
// Version 0.0.0. Copyright 2017 Mike Bostock. | |
(function(global, factory) { | |
typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : | |
typeof define === 'function' && define.amd ? define(factory) : | |
(global.versor = factory()); | |
}(this, (function() {'use strict'; | |
var acos = Math.acos, | |
asin = Math.asin, | |
atan2 = Math.atan2, |
The MIT License (MIT) | |
Copyright (c) 2016 Emilien Dupont | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is | |
furnished to do so, subject to the following conditions: |
The MIT License (MIT) | |
Copyright (c) 2016 Emilien Dupont | |
Permission is hereby granted, free of charge, to any person obtaining a copy | |
of this software and associated documentation files (the "Software"), to deal | |
in the Software without restriction, including without limitation the rights | |
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell | |
copies of the Software, and to permit persons to whom the Software is | |
furnished to do so, subject to the following conditions: |
Visualization to illustrate the crazy fact that a random walk on the integer lattice in dimension d <= 2 will return to its starting point with probability 1 whereas a random walk in dimension d >= 3 has a finite probability of never returning. Or in other words:
"A drunk man will find his way home, but a drunk bird may get lost forever." - Shizuo Kakutani
Click here for a random walk in 2D.
For a cool proof of this theorem using Fourier analysis check e.g. the Fourier Transform and its Applications.
Visualization to illustrate the crazy fact that a random walk on the integer lattice in dimension d <= 2 will return to its starting point with probability 1 whereas a random walk in dimension d >= 3 has a finite probability of never returning. Or in other words:
"A drunk man will find his way home, but a drunk bird may get lost forever." - Shizuo Kakutani
Click here for a random walk in 3D.
For a cool proof of this theorem using Fourier analysis check e.g. the Fourier Transform and its Applications.
Inspired by a cool audiovisual montage by Ryoichi Kurokawa which I saw at the V&A Japan Friday Late in London.
Changed the Spinny Lines block to never stop.