Last active
March 27, 2019 16:47
-
-
Save kenwebb/1dfa7272c9300a1b5213b5056e7bc4f8 to your computer and use it in GitHub Desktop.
brain.js
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
<?xml version="1.0" encoding="UTF-8"?> | |
<!--Xholon Workbook http://www.primordion.com/Xholon/gwt/ MIT License, Copyright (C) Ken Webb, Wed Mar 27 2019 12:46:44 GMT-0400 (Eastern Daylight Time)--> | |
<XholonWorkbook> | |
<Notes><![CDATA[ | |
Xholon | |
------ | |
Title: brain.js | |
Description: | |
Url: http://www.primordion.com/Xholon/gwt/ | |
InternalName: 1dfa7272c9300a1b5213b5056e7bc4f8 | |
Keywords: | |
My Notes | |
-------- | |
March 27, 2019 | |
Keyfer Mathewson gave a presentation last night at the Machine Learning & Artificial Intelligence meetup. He demoed brain.js and TensorFlow.js. | |
In this workbook, I explore brain.js. | |
http://127.0.0.1:8888/Xholon.html?app=brain.js&src=lstr&gui=clsc&jslib=brain.js/browser | |
References | |
---------- | |
(1) https://github.com/BrainJS/brain.js | |
Neural networks in JavaScript | |
(2) https://www.meetup.com/Machine-Learning-Artificial-Intelligence-Ottawa/ | |
]]></Notes> | |
<_-.XholonClass> | |
<PhysicalSystem/> | |
<Brain/> | |
</_-.XholonClass> | |
<xholonClassDetails> | |
</xholonClassDetails> | |
<PhysicalSystem> | |
<Brain/> | |
</PhysicalSystem> | |
<Brainbehavior implName="org.primordion.xholon.base.Behavior_gwtjs"><![CDATA[ | |
var me, beh = { | |
postConfigure: function() { | |
me = this.cnode.parent(); | |
me.println("starting Brainbehavior ..."); | |
// provide optional config object (or undefined). Defaults shown. | |
const config = { | |
binaryThresh: 0.5, | |
hiddenLayers: [3], // array of ints for the sizes of the hidden layers in the network | |
activation: 'sigmoid', // supported activation types: ['sigmoid', 'relu', 'leaky-relu', 'tanh'], | |
leakyReluAlpha: 0.01 // supported for activation type 'leaky-relu' | |
}; | |
// create a simple feed forward neural network with backpropagation | |
const net = new $wnd.brain.NeuralNetwork(config); | |
net.train([ | |
{input: [0, 0], output: [0]}, | |
{input: [0, 1], output: [1]}, | |
{input: [1, 0], output: [1]}, | |
{input: [1, 1], output: [0]} | |
]); | |
const output = net.run([1, 0]); // [0.987] [0.9332800507545471] | |
//console.log(output); | |
me.println(output); | |
}, | |
act: function() { | |
//me.println(this.toString()); | |
} | |
} | |
//# sourceURL=Brainbehavior.js | |
]]></Brainbehavior> | |
<SvgClient><Attribute_String roleName="svgUri"><![CDATA[data:image/svg+xml, | |
<svg width="100" height="50" xmlns="http://www.w3.org/2000/svg"> | |
<g> | |
<title>Brain</title> | |
<rect id="PhysicalSystem/Brain" fill="#98FB98" height="50" width="50" x="25" y="0"/> | |
<g> | |
<title>Brain</title> | |
<rect id="PhysicalSystem/Brain" fill="#6AB06A" height="50" width="10" x="80" y="0"/> | |
</g> | |
</g> | |
</svg> | |
]]></Attribute_String><Attribute_String roleName="setup">${MODELNAME_DEFAULT},${SVGURI_DEFAULT}</Attribute_String></SvgClient> | |
</XholonWorkbook> |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment