brain.js/dist/layer/index.d.ts

Neural networks in JavaScript

import { Activation, EntryPoint, Filter, Internal, InternalModel, Model, Modifier, Operator, Target } from './types';
export { Add, add } from './add';
export { arthurFeedForward } from './arthur-feed-forward';
export { BaseLayer, ILayer, ILayerSettings, ILayerJSON, baseLayerDefaultSettings, } from './base-layer';
export { Convolution, convolution } from './convolution';
export { Dropout, dropout } from './dropout';
export { feedForward } from './feed-forward';
export { FullyConnected, fullyConnected } from './fully-connected';
export { gru } from './gru';
export { Input, input } from './input';
export { LeakyRelu, leakyRelu } from './leaky-relu';
export { lstmCell } from './lstm-cell';
export { Multiply, multiply } from './multiply';
export { MultiplyElement, multiplyElement } from './multiply-element';
export { Negative, negative } from './negative';
export { Ones, ones } from './ones';
export { output } from './output';
export { Pool, pool } from './pool';
export { Random, random } from './random';
export { RecurrentInput, IRecurrentInput } from './recurrent-input';
export { RecurrentZeros } from './recurrent-zeros';
export { rnnCell } from './rnn-cell';
export { Regression, regression } from './regression';
export { Relu, relu } from './relu';
export { Sigmoid, sigmoid } from './sigmoid';
export { SoftMax, softMax } from './soft-max';
export { SVM, svm } from './svm';
export { Tanh, tanh } from './tanh';
export { Target, target } from './target';
export { Transpose, transpose } from './transpose';
export { Zeros, zeros } from './zeros';
export declare const layerTypes: {
    Activation: typeof Activation;
    Internal: typeof Internal;
    InternalModel: typeof InternalModel;
    EntryPoint: typeof EntryPoint;
    Filter: typeof Filter;
    Model: typeof Model;
    Modifier: typeof Modifier;
    Operator: typeof Operator;
    Target: typeof Target;
};
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