deept.js/dist/NeuralNet/neuralnet.lib.d.ts

Eine TypeScript/JavaScript Library für ML im Browser

import Matrix from '../Matrix/matrix';
import NeuralNet from './neuralnet';
export declare class HiddenLayer {
    W_F_T: Matrix;
    biases: Matrix;
    values: Matrix;
    constructor(nodesInFront: number, numOfNodes: number);
}
export declare class OutputLayer {
    W_F_T: Matrix;
    biases: Matrix;
    constructor(nodesInFront: number, numOfNodes: number);
}
export declare function addHiddenLayer(layer: IlayerInput, net: NeuralNet): void;
export declare function addOutputLayer(layer: IlayerInput, net: NeuralNet): void;
export declare function load(data: string): NeuralNet;
export interface ITestOps {
    iterations?: number;
    print?: boolean;
    passWhen?: number;
}
export interface ITrainOps {
    iterations?: number;
    print?: boolean;
    test?: boolean;
}
export declare function pickRandomFromArray(array: ITrainingInput[]): ITrainingInput;
export interface ITrainingInput {
    input: number[];
    target: number[];
}
export interface IlayerInput {
    type: 'input' | 'hidden' | 'output';
    nodes: number;
    randomized?: boolean;
}
export declare function sigmoid(x: number): number;
export declare function dsigmoid(y: number): number;