Description
Easy way to create neural networks in Javascript. Train a neural network with your dataset & save it's trained state!
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README
Deep Neural Network Library for Javascript Train a neural network with your data & save its trained state!
Demo • Installation • Documentation • Contribute • Discord • License
Installation
CDN :
<script src="https://cdn.jsdelivr.net/gh/matiasvlevi/[email protected]/build/dann.min.js"></script>
Node :
npm i dannjs
Getting started
Require package
Components from the library can be imported like this
const { Dann } = require('dannjs');
Basic model construction
Setting up a small (4,6,6,2) neural network.
const nn = new Dann(4, 2);
nn.addHiddenLayer(6, 'leakyReLU');
nn.addHiddenLayer(6, 'leakyReLU');
nn.outputActivation('tanH');
nn.makeWeights();
nn.lr = 0.0001;
nn.log({details:true});
Train by backpropagation
Training with a dataset.
//XOR 2 inputs, 1 output
const dataset = [
{
input: [0, 0],
output: [0]
},
{
input: [1, 0],
output: [1]
},
{
input: [0, 1],
output: [1]
},
{
input: [1, 1],
output: [0]
}
];
//train 1 epoch
for (data of dataset) {
nn.backpropagate(data.input, data.output);
console.log(nn.loss);
}
Train by mutation
For neuroevolution simulations. Works best with small models & large population size.
const populationSize = 1000;
let newGeneration = [];
for (let i = 0; i < populationSize; i++) {
// parentNN would be the best nn from past generation.
const childNN = parentNN;
childNN.mutateRandom(0.01, 0.65);
newGeneration.push(childNN);
}
Standalone function
Convert a Neural Network to a JS function that can output predictions without the library.
let strfunc = nn.toFunction();
console.log(strfunc);
Save JSON
let json = nn.toJSON();
console.log(json);
Demo:
AI predicts San-francisco Housing prices. more examples & demos here
Online editor:
Socials
Graph Dann models with this library
Stickers
Contributors
<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section --> <!-- prettier-ignore-start --> <!-- markdownlint-disable --> Matias Vazquez-Levi💻 📖 ⚠️ ✅ Francesco Ciulla📢 Labnan🐛 💻 ⚠️ sharkAce💻 Hasnain Iqbal💻 ⚠️ EL Ramos🐛 ⚠️ 💻 viabhinav✅ and1can💻 ⚠️
<!-- markdownlint-restore --> <!-- prettier-ignore-end -->
<!-- ALL-CONTRIBUTORS-LIST:END -->
Any contributions are welcome! See CONTRIBUTING.md.
License
MIT
*Note that all licence references and agreements mentioned in the Dannjs README section above
are relevant to that project's source code only.