neuronetwork/index.js

A hybrid math & neural engine with classic functions and AI computations

import * as NextMathFUNC from "./functions/NextMath.js";
import * as NeuroMathFUNC from "./functions/NeuroMath.js";

export default class NeuroNetwork {
    static NextMath = {
        add: NextMathFUNC.NextMath_add,
        subtract: NextMathFUNC.NextMath_subtract,
        multiply: NextMathFUNC.NextMath_multiply,
        divide: NextMathFUNC.NextMath_divide,
        modulo: NextMathFUNC.NextMath_modulo,
        power: NextMathFUNC.NextMath_power,
        sqrt: NextMathFUNC.NextMath_sqrt,
        absolute: NextMathFUNC.NextMath_absolute,
        gcd: NextMathFUNC.NextMath_gcd,
        isPrime: NextMathFUNC.NextMath_isPrime,
        factorial: NextMathFUNC.NextMath_factorial,
        fibonacci: NextMathFUNC.NextMath_fibonacci,
        max: NextMathFUNC.NextMath_max,
        min: NextMathFUNC.NextMath_min,
        isEven: NextMathFUNC.NextMath_isEven,
        isOdd: NextMathFUNC.NextMath_isOdd,
        reverseNumber: NextMathFUNC.NextMath_reverseNumber,
        isPalindrome: NextMathFUNC.NextMath_isPalindrome,
        countDigits: NextMathFUNC.NextMath_countDigits,
        sumOfDigits: NextMathFUNC.NextMath_sumOfDigits,
        XOR: NextMathFUNC.NextMath_xor,
        AND: NextMathFUNC.NextMath_and,
        NOT: NextMathFUNC.NextMath_not,
        leftShift: NextMathFUNC.NextMath_leftShift,
        rightShift: NextMathFUNC.NextMath_rightShift,
        average: NextMathFUNC.NextMath_average,
        findMax: NextMathFUNC.NextMath_findMax,
        findMin: NextMathFUNC.NextMath_findMin,
        primeFactors: NextMathFUNC.NextMath_primeFactors,
        isPerfectNumber: NextMathFUNC.NextMath_isPerfectNumber,
        digitalRoot: NextMathFUNC.NextMath_digitalRoot
    }
    static NeuroMath = {
        Activation: {
            ReLu: NeuroMathFUNC.NeuroMath_Activation_ReLu,
            LeakyReLU: NeuroMathFUNC.NeuroMath_Activation_LeakyReLU,
            Sigmoid: NeuroMathFUNC.NeuroMath_Activation_Sigmoid,
            Tanh: NeuroMathFUNC.NeuroMath_Activation_Tanh,
            Softmax: NeuroMathFUNC.NeuroMath_Activation_Softmax,
            Swish: NeuroMathFUNC.NeuroMath_Activation_Swish,
            GELU: NeuroMathFUNC.NeuroMath_Activation_GELU,
            ELU: NeuroMathFUNC.NeuroMath_Activation_ELU,
        },
        Loss: {
            MSE: NeuroMathFUNC.NeuroMath_Loss_MSE,
            // Binary Cross Entropy
            BCE: NeuroMathFUNC.NeuroMath_Loss_BCE,
            // Categorical Cross Entropy
            CCE: NeuroMathFUNC.NeuroMath_Loss_CCE,
            // MAE
            MAE: NeuroMathFUNC.NeuroMath_Loss_MAE,
        },
        Layer: {
            Dense: NeuroMathFUNC.NeuroMath_Layer_Dense,
            Flatten: NeuroMathFUNC.NeuroMath_Layer_Flatten,
            Dropout: NeuroMathFUNC.NeuroMath_Layer_Dropout,
            BatchNormalization: NeuroMathFUNC.NeuroMath_Layer_BatchNormalization,
            Embedding: NeuroMathFUNC.NeuroMath_Layer_Embedding,
            Conv2D: NeuroMathFUNC.NeuroMath_Layer_Conv2D,
        },
        Optimizer: {
            SGD: NeuroMathFUNC.NeuroMath_Optimizer_SGD,
            Adam: NeuroMathFUNC.NeuroMath_Optimizer_Adam,
            // RMSProp: NeuroMathFUNC.NeuroMath_Optimizer_RMSProp
        }
    }
};