robertleeplummerjr’s gists

robertleeplummerjr / create-kernels.frag

Created June 16, 2017 22:03

	#extension GL_EXT_draw_buffers : require
	precision highp float;
	precision highp int;
	precision highp sampler2D;

	const float LOOP_MAX = 100.0;
	#define EPSILON 0.0000001;

	uniform highp vec3 uOutputDim;
	uniform highp vec2 uTexSize;

robertleeplummerjr / gpu-implementation-comparison.js

Created June 15, 2017 14:54

a mostly pseudo script of the gpu version of sigmoid runInput

	//existing neural net
	class NeuralNetwork {
	runInput(input) {
	this.outputs[0] = input; // set output state of input layer

	let output = null;
	for (let layer = 1; layer <= this.outputLayer; layer++) {
	for (let node = 0; node < this.sizes[layer]; node++) {
	let weights = this.weights[layer][node];

robertleeplummerjr / gpu-snippet.js

Created June 6, 2017 14:43

	gl.activeTexture(gl[outputTextureName]);
	gl.bindTexture(gl.TEXTURE_2D, outputTexture);
	if (this.subKernelOutputTextures !== null) {
	for (let i = 0; i < this.subKernelOutputTextures.length; i++) {
	const subKernelOutputTextureName = this.subKernelOutputTextureNames[i];
	const outputTextureName = `TEXTURE${ paramNames.length + i + 1 }`;
	const subKernelOutputTexture = this.subKernelOutputTextures[i];
	gl.activeTexture(gl[outputTextureName]);
	gl.bindTexture(gl.TEXTURE_2D, subKernelOutputTexture);
	}

robertleeplummerjr / gpu-brain-hackery.js

Last active July 6, 2017 01:46

ideas for binding gpu to brain.js

	import GPU from 'gpu';
	import brain from './src';

	function relu(value) {
	return Math.max(0, value);
	}

	function reluBackpropagate(weight, delta) {
	return weight[this.thread.y][this.thread.x] > 0 ? delta[this.thread.y][this.thread.x] : 0;
	}

robertleeplummerjr / gpu.js

Last active April 19, 2017 16:35

GPU.js with refined flatten function

robertleeplummerjr / conv-kern.js

Created April 6, 2017 17:16

The output of brain.js convolutional compiled layer.

This file has been truncated, but you can view the full file.

	function anonymous(convolutionFilters,convolutionInputs,convolutionOutputs,convolutionBiases
	/**/) {
	var convolutionWeight;
	var convolutionFilterWeights;
	convolutionFilterWeights = convolutionFilters[0];
	convolutionInputDeltas[-84] = 0;
	convolutionInputDeltas[-83] = 0;
	convolutionInputDeltas[-82] = 0;
	convolutionInputDeltas[-81] = 0;
	convolutionInputDeltas[-80] = 0;

robertleeplummerjr / prediction.js

Created November 30, 2016 15:02

	it('can predict a phrase when given the first letter', () => {
	const phrase = 'bob';
	const vocab = new Vocab(['b', 'o']);
	const net = new GRU({
	inputSize: 3,
	inputRange: vocab.characters.length,
	outputSize: 3
	});
	for (var i = 0; i < 100; i++) {
	//train

robertleeplummerjr / poc ascii print vocab.js

Created November 30, 2016 13:31

	//I put this in
	describe('printable characters', () => {
	it('poc', () => {
	const vocab = Vocab.allPrintable();
	var net = new GRU({
	inputSize: 100,
	inputRange: vocab.characters.length,
	outputSize: 100
	});

robertleeplummerjr / brainjs-lstm-to-function.js

Last active September 18, 2016 01:51

	function anonymous(input
	/**/) {

	var model = {"type":"LSTM","options":{"inputSize":6,"inputRange":15,"hiddenSizes":[20,20],"outputSize":15,"learningRate":0.01,"decayRate":0.999,"smoothEps":1e-8,"regc":0.000001,"clipval":5,"json":null},"input":{"rows":16,"columns":6,"weights":{"0":0.2750181314653913,"1":-0.5240159623884509,"2":-0.408752201001415,"3":-0.448984608652921,"4":-0.9331697140323069,"5":-0.7128413103096853,"6":0.35645014914363216,"7":0.7092642368068771,"8":-0.40205570626482884,"9":0.18009240823681072,"10":0.3864554416636306,"11":0.6294286754915727,"12":-0.49146111951010446,"13":-0.5134531804578492,"14":0.08656950701151409,"15":0.10822482362090162,"16":0.8152555658106171,"17":0.014161649394307032,"18":0.5886991063098534,"19":-0.03284264424828155,"20":-0.33622210044702217,"21":0.11700147917839701,"22":0.2512207366661221,"23":1.357894991603078,"24":0.5572135751870317,"25":0.33195733965195273,"26":-0.21192128398950427,"27":-0.028280711815505764,"28":0.2782813838154882,"29":0.9870090189467543,"30":0

robertleeplummerjr / brainjs-rnn-to-function.js

Last active November 30, 2016 12:54

	function anonymous(input
	/**/) {

	var model = {"type":"RNN","options":{"inputSize":3,"inputRange":2,"hiddenSizes":[3],"outputSize":2,"learningRate":0.01,"decayRate":0.999,"smoothEps":1e-8,"regc":0.000001,"clipval":5,"json":null},"input":{"rows":3,"columns":3,"weights":{"0":0.14504642918678196,"1":0.28865358965723514,"2":-0.3079530522503993,"3":-0.13441059098438157,"4":-0.3943911782285204,"5":0.22545938148786127,"6":-0.19453870088510053,"7":-0.3184347404294077,"8":0.3309666089021073}},"hiddenLayers":[{"weight":{"rows":3,"columns":3,"weights":{"0":0.16208498769941176,"1":0.043981900440411704,"2":0.06736829422601728,"3":0.11339363189835776,"4":-0.028364202776012152,"5":-0.038854912606870705,"6":-0.2981753114004179,"7":0.40875294934195483,"8":0.23295964074505185}},"transition":{"rows":3,"columns":3,"weights":{"0":0.01913355746381583,"1":-0.06787170641122188,"2":0.014116139090044852,"3":0.035298424320335434,"4":0.04757889342466173,"5":0.025314592304064076,"6":0.019473188112568866,"7":0.0009661367633043027,"8":-0

Robert Plummer robertleeplummerjr