Deep Learning with deeplearnjs

deeplearnjs is a hardware-accelerated deep learning library for the web.
deeplearnjs is pretty awesome because we can use GPU via WebGL.

Using deeplearnjs

$ git clone https://github.com/PAIR-code/deeplearnjs.git
$ cd deeplearnjs
$ npm run prep
$ ./scripts/build-standalone.shls
$ cd demo
$ mkdir mydemo

Then create two files. One is index.html and the other is test.ts.

index.html<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<meta http-equiv="X-UA-Compatible" content="ie=edge">
<title>Document</title>
</head>
<body>
<h1>deeplearn test</h1>
<div id="output"></div>
<script src="bundle.js"></script>
</body>
</html>

test.ts
import {Array1D, NDArrayMathGPU, Scalar} from ‘../deeplearnjs’;
const math = new NDArrayMathGPU();
const a = Array1D.new([1, 2, 3]);
const b = Scalar.new(2);
math.scope(() => {
const result = math.add(a, b);
console.log(result.getValues()); // Float32Array([3, 4, 5])
});
$ ./scripts/watch-demo demos/mydemo/test.ts
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