 | |
| Developer(s) | Open-source contributors |
|---|---|
| Initial release | May 10, 2010 |
| Repository | Brain.js Repository |
| Written in | JavaScript, TypeScript |
| Platform | Node.js, Web browser |
| Type | Neural Networking |
| License | MIT License |
| Website |
brain |
Brain.js is a JavaScript library used for neural networking, which is released as free and open-source software under the MIT License. [1] It can be used in both the browser and Node.js backends. [2] [3]
Brain.js is most commonly used as a simple introduction to neural networking, as it hides complex mathematics and has a familiar modern JavaScript syntax. [4] [5] It is maintained by members of the Brain.js organization and open-source contributors.
Examples
Creating a feedforward neural network with backpropagation:
const net = new brain.NeuralNetwork();
net.train([
{ input: 0, 0], output: 0 },
{ input: 0, 1], output: 1 },
{ input: 1, 0], output: 1 },
{ input: 1, 1], output: 0 },
]);
console.log(net.run([1, 0]));
Creating a recurrent neural network:
const net = new brain.recurrent.RNN();
net.train([
{ input: 0, 0], output: 0 },
{ input: 0, 1], output: 1 },
{ input: 1, 0], output: 1 },
{ input: 1, 1], output: 0 },
]);
let output = net.run([0, 0]); // [0]
output = net.run([0, 1]); // [1]
output = net.run([1, 0]); // [1]
output = net.run([1, 1]); // [0]
Train the neural network on RGB color contrast:
const net = new brain.NeuralNetwork();
net.train([{
input: {
r: 0.03,
g: 0.7,
b: 0.5
},
output: {
black: 1
}
},
{
input: {
r: 0.16,
g: 0.09,
b: 0.2
},
output: {
white: 1
}
},
{
input: {
r: 0.5,
g: 0.5,
b: 1.0
},
output: {
white: 1
}
}
]);
const output = net.run({
r: 1,
g: 0.4,
b: 0
}); // { white: 0.99, black: 0.002 }
console.log(output)
External links
References
- ^ Eschweiler, Sebastian (2020-09-09). "Beginner's Guide To Neural Networks In JavaScript With Brain.js". CodingTheSmartWay.com Blog. Retrieved 2022-03-19.
- ^ Dijkhuizen, Bryan (2021-11-02). "Machine Learning in JavaScript Using Brain.js for Simple Applications". Medium. Retrieved 2022-03-19.
- ^ "Neural Networks In JavaScript - Brain.js Tutorial". Scrimba. Retrieved 2022-03-13.
- ^ "Build and train a neural network with nothing but JavaScript using Brain.js". IBM Developer. Retrieved 2022-03-19.
- ^ "Brain.js". www.w3schools.com. Retrieved 2022-03-19.
|
| |
| Developer(s) | Open-source contributors |
|---|---|
| Initial release | May 10, 2010 |
| Repository | Brain.js Repository |
| Written in | JavaScript, TypeScript |
| Platform | Node.js, Web browser |
| Type | Neural Networking |
| License | MIT License |
| Website |
brain |
Brain.js is a JavaScript library used for neural networking, which is released as free and open-source software under the MIT License. [1] It can be used in both the browser and Node.js backends. [2] [3]
Brain.js is most commonly used as a simple introduction to neural networking, as it hides complex mathematics and has a familiar modern JavaScript syntax. [4] [5] It is maintained by members of the Brain.js organization and open-source contributors.
Examples
Creating a feedforward neural network with backpropagation:
const net = new brain.NeuralNetwork();
net.train([
{ input: 0, 0], output: 0 },
{ input: 0, 1], output: 1 },
{ input: 1, 0], output: 1 },
{ input: 1, 1], output: 0 },
]);
console.log(net.run([1, 0]));
Creating a recurrent neural network:
const net = new brain.recurrent.RNN();
net.train([
{ input: 0, 0], output: 0 },
{ input: 0, 1], output: 1 },
{ input: 1, 0], output: 1 },
{ input: 1, 1], output: 0 },
]);
let output = net.run([0, 0]); // [0]
output = net.run([0, 1]); // [1]
output = net.run([1, 0]); // [1]
output = net.run([1, 1]); // [0]
Train the neural network on RGB color contrast:
const net = new brain.NeuralNetwork();
net.train([{
input: {
r: 0.03,
g: 0.7,
b: 0.5
},
output: {
black: 1
}
},
{
input: {
r: 0.16,
g: 0.09,
b: 0.2
},
output: {
white: 1
}
},
{
input: {
r: 0.5,
g: 0.5,
b: 1.0
},
output: {
white: 1
}
}
]);
const output = net.run({
r: 1,
g: 0.4,
b: 0
}); // { white: 0.99, black: 0.002 }
console.log(output)
External links
References
- ^ Eschweiler, Sebastian (2020-09-09). "Beginner's Guide To Neural Networks In JavaScript With Brain.js". CodingTheSmartWay.com Blog. Retrieved 2022-03-19.
- ^ Dijkhuizen, Bryan (2021-11-02). "Machine Learning in JavaScript Using Brain.js for Simple Applications". Medium. Retrieved 2022-03-19.
- ^ "Neural Networks In JavaScript - Brain.js Tutorial". Scrimba. Retrieved 2022-03-13.
- ^ "Build and train a neural network with nothing but JavaScript using Brain.js". IBM Developer. Retrieved 2022-03-19.
- ^ "Brain.js". www.w3schools.com. Retrieved 2022-03-19.