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*/ @Override public final void run() { final Stopwatch watch = new Stopwatch(); try { watch.start(); this.currentJob.createTrainer(this.manager.isSingleThreaded()); final MLTrain train = this.currentJob.getTrain(); int interation = 1;
5859606162636465666768
// train the neural network MLTrain train = new Backpropagation(network, trainingSet, 0.7, 0.7); Stopwatch sw = new Stopwatch(); sw.start(); // run epoch of learning procedure for (int i = 0; i < ITERATIONS; i++) { train.iteration(); } sw.stop();
8182838485868788899091
double[] a = new double[2]; double[] b = new double[1]; Stopwatch sw = new Stopwatch(); sw.start(); // run epoch of learning procedure for (int i = 0; i < ITERATIONS; i++) { train.iteration(); } sw.stop();
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5455565758596061626364
*/ @Override public void run() { final Stopwatch watch = new Stopwatch(); try { watch.start(); this.currentJob.createTrainer(this.manager.isSingleThreaded()); final MLTrain train = this.currentJob.getTrain(); int interation = 1;