repo_description: 🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
repo_topics: api brain browser convolutional-neural-networks easy-to-use hacktoberfest neural-network node nodejs recurrent-neural-networks stream web
code: 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 const layerTypes = {
    Activation,
    Internal,
    InternalModel,
    EntryPoint,
    Filter,
    Model,
    Modifier,
    Operator,
    Target,
  };
  