import * as activation from './activation';
import { AE } from './autoencoder';
import CrossValidate from './cross-validate';
import { FeedForward } from './feed-forward';
import * as layer from './layer';
import { layerTypes } from './layer';
import { likely } from './likely';
import { lookup } from './lookup';
import { NeuralNetwork } from './neural-network';
import { NeuralNetworkGPU } from './neural-network-gpu';
import * as praxis from './praxis';
import { Recurrent } from './recurrent';
import { GRU } from './recurrent/gru';
import { GRUTimeStep } from './recurrent/gru-time-step';
import { LSTM } from './recurrent/lstm';
import { LSTMTimeStep } from './recurrent/lstm-time-step';
import { RNN } from './recurrent/rnn';
import { RNNTimeStep } from './recurrent/rnn-time-step';
import { DataFormatter } from './utilities/data-formatter';
import { max } from './utilities/max';
import { mse } from './utilities/mse';
import { ones, ones2D } from './utilities/ones';
import * as random from './utilities/random';
import { randomWeight } from './utilities/random-weight';
import { randos } from './utilities/randos';
import { range } from './utilities/range';
import { toArray } from './utilities/to-array';
import { toSVG } from './utilities/to-svg';
import { zeros } from './utilities/zeros';
declare const recurrent: {
    RNNTimeStep: typeof RNNTimeStep;
    LSTMTimeStep: typeof LSTMTimeStep;
    GRUTimeStep: typeof GRUTimeStep;
    RNN: typeof RNN;
    LSTM: typeof LSTM;
    GRU: typeof GRU;
};
declare const utilities: {
    max: typeof max;
    mse: typeof mse;
    ones: typeof ones;
    ones2D: typeof ones2D;
    random: typeof random;
    randomWeight: typeof randomWeight;
    randos: typeof randos;
    range: typeof range;
    toArray: typeof toArray;
    DataFormatter: typeof DataFormatter;
    zeros: typeof zeros;
    toSVG: typeof toSVG;
};
export { activation, AE, CrossValidate, likely, layer, layerTypes, lookup, praxis, FeedForward, NeuralNetwork, NeuralNetworkGPU, Recurrent, recurrent, utilities, };
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