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This article introduces the relevant knowledge of "how to use StatsListener". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Import org.deeplearning4j.api.storage.StatsStorage;import org.deeplearning4j.examples.userInterface.util.UIExampleUtils;import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;import org.deeplearning4j.optimize.listeners.ScoreIterationListener;import org.deeplearning4j.ui.api.UIServer;import org.deeplearning4j.ui.stats.StatsListener;import org.deeplearning4j.ui.storage.FileStatsStorage;import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;import java.io.File / * A version of UIStorageExample showing how to saved network training data to a file, and then * reload it later, to display inin the UI * * @ author Alex Black * / public class UIStorageExample {public static void main (String [] args) {/ / Run this example twice-once with collectStats = true, and then again with collectStats = false boolean collectStats = true If (collectStats) {/ / First run: Collect training stats from the network / / Note that we don't have to actually plot it when we collect it-though we can do that too, if required MultiLayerNetwork net = UIExampleUtils.getMnistNetwork (); DataSetIterator trainData = UIExampleUtils.getMnistData (); StatsStorage statsStorage = new FileStatsStorage (System.getProperty ("java.io.tmpdir"), "ui-stats.dl4j")) Net.setListeners (new StatsListener (statsStorage), new ScoreIterationListener (10)); net.fit (trainData); System.out.println ("Done");} else {/ / Second run: Load the saved stats and visualize. Go to http://localhost:9000/train StatsStorage statsStorage = new FileStatsStorage (new File (System.getProperty ("java.io.tmpdir"), "ui-stats.dl4j"); UIServer uiServer = UIServer.getInstance (); uiServer.attach (statsStorage);}} that's all for "how to use StatsListener". Thank you for reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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