UNPKG

layer-oriented-deep-learning-network-js

Version:

A feed-forward neural network with injectable layers, activation functions, and optimizers.

38 lines (27 loc) 1.15 kB
'use strict'; Object.defineProperty(exports, "__esModule", { value: true }); exports.default = shuffleTrain; var _arrayShuffle = require('../math/arrayShuffle'); var _arrayShuffle2 = _interopRequireDefault(_arrayShuffle); function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } function log(epoch, setNumber, inputs, targetOutputs, outputs) { // console.log('inputs:', inputs); var errors = new Array(outputs.length); for (var i = 0, len = outputs.length; i < len; i++) { errors[i] = (targetOutputs[i] - outputs[i]).toFixed(4); } console.log(epoch + ':' + setNumber, 'errors', errors); } function shuffleTrain(neuralNetwork, trainingSets, maxEpochs) { for (var epoch = 0; epoch < maxEpochs; epoch++) { trainingSets = (0, _arrayShuffle2.default)(trainingSets); for (var setI = 0, setCount = trainingSets.length; setI < setCount; setI++) { var set = trainingSets[setI]; var outputs = neuralNetwork.invoke(set[0]); neuralNetwork.learn(set[1]); log(epoch, setI, set[0], set[1], outputs); } } }