Dl4vanillajs NPM

Deep Learning Library using VanillaJS

dl4vanillajs is a buldle of function for deeplearning application written in VanillaJS.

Vanilla JS is the alias of pure JavaScript. It does not depends on any frameworks or libraries. There are a web browser which supports Javascript/ECMA-Script, all of running and developing environment is prepared.

It is only a expermental approach, not optimized and not commertial purpose.

Demos

dl4vanillajs-node-example
- simple binary classification
- xor problem

Install

dl4vanillsjs has no dependencies. You can download released archives or install from npm.

- use npm

$ npm install dl4vanillajs

- download archive

Download recent released archives : link

Usages

- for Node.js

// import module
const dl = require('dl4vanillajs');

// define matrix for example
let X = [[1,2,3]]
let W = [[1,0,1], [1,1,0], [0,0,1]];

// multiply X and W
let Y = dl.mat.mul(X,W);

// add scalar value 1
let Y1 = dl.mat.add(Y,1);

// print result
console.log(Y1);

- for WebBrowser

<html>
<body>
	<!-- Result output -->
	<div id="result"></div>

	<!-- Import Modules -->
	<script src="math/matrix.js"></script>
	<script src="math/derivative.js"></script>
	<script src="nn/activation_function.js"></script>
	<script src="nn/loss_function.js"></script>
	<script src="nn/optimizer.js"></script>
	<script src="dl4vanilla.js"></script>
	<script>
		// define matrix for example
		let X = [[1,2,3]]
		let W = [[1,0,1], [1,1,0], [0,0,1]];

		// multiply X and W
		let Y = dl.mat.mul(X,W);

		// add scalar value 1
		let Y1 = dl.mat.sub(Y,1);

		// print result
		let resultDiv = document.getElementById("result");
		resultDiv.innerHTML = JSON.stringify(Y1);
	</script>
</html>