đŦTechnical Deep Dive
Full Specifications [+]
Quick Commands
pip install dann âī¸ Nexus Index V2.0
đŦ Index Insight
FNI V2.0 for Dann: Semantic (S:50), Authority (A:0), Popularity (P:62), Recency (R:41), Quality (Q:50).
Verification Authority
đ Specs
- Language
- Python
- License
- MIT
- Version
- 1.0.0
Usage documentation not yet indexed for this tool.
Technical Documentation
Deep Neural Network Library for Javascript
Train a neural network with your data & save its trained state!
Demo âĸ Installation âĸ Documentation âĸ Contribute âĸ Discord âĸ License
Installation
CDN :
Node :
npm i dannjsGetting 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
 Matias Vazquez-Levi đģ đ â ī¸ â |
 Francesco Ciulla đĸ |
 Labnan đ đģ â ī¸ |
 sharkAce đģ |
 Hasnain Iqbal đģ â ī¸ |
 EL Ramos đ â ī¸ đģ |
 viabhinav â |
 and1can đģ â ī¸ |
Any contributions are welcome! See CONTRIBUTING.md.
License
MIT
đ Quick Start
npm i dannjsAI Summary: Based on GitHub metadata. Not a recommendation.
đĄī¸ Tool Transparency Report
Technical metadata sourced from upstream repositories.
đ Identity & Source
- id
- gh-tool--matiasvlevi--dann
- slug
- matiasvlevi--dann
- source
- github
- author
- matiasvlevi
- license
- MIT
- tags
- dann, dannjs, deep-learning, deep-neural-networks, javascript, js, machine-learning, neural-network, nodejs
âī¸ Technical Specs
- architecture
- null
- params billions
- null
- context length
- null
- pipeline tag
- other
đ Engagement & Metrics
- downloads
- 0
- stars
- 424
- forks
- 0
- github stars
- 424
Data indexed from public sources. Updated daily.