Simple and fast neural network framework for JavaSript
Fun fact: "mikir" is Indonesian word that mean think/thinking
Learn machine learning fundamentals and take mikir code walkthrough
To install the package, use npm:
npm install mikirHere’s a simple example of how to use the package:
import { NeuralNetwork } from "mikir"
const trainingData = [
{ input: [0, 0], output: [0] },
{ input: [0, 1], output: [1] },
{ input: [1, 0], output: [1] },
{ input: [1, 1], output: [0] }
]
const nn = new NeuralNetwork(2, 2, 1)
for (let i = 0; i < 10000; i++) {
trainingData.forEach(data => [
nn.train(data.input, data.output)
])
}
trainingData.forEach(data => {
const output = nn.predict(data.input)
console.log(`Input: ${data.input}, Predicted: ${output}, Actual: ${data.output}`)
})declare class NeuralNetwork {
private hiddenLayer;
private outputLayer;
constructor(inputCount: number, hiddenCount: number, outputCount: number);
predict(inputs: number[]): number[];
train(inputs: number[], targets: number[], learningRate?: number): void;
}The neuralNetwork using 3 paramater which is inputCount, how much hidden layer and output layer wanted.
train: train your neural network using inputs, target as desired output and learningRate (default 0.1)
predict: after training your neural network, use it with predict to predict output from input based on trained model