DeepLearning4j的编译错误示例

Question

在使用DeepLearning4j进行编程时，出现了一些问题。

当我在Eclipse中打开并编译示例MnistMultiThreadedExample时，出现了这些问题。

import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; 
import org.deeplearning4j.datasets.test.TestDataSetIterator; 
import org.deeplearning4j.iterativereduce.actor.multilayer.ActorNetworkRunner;**(error)** 
import org.deeplearning4j.models.classifiers.dbn.DBN;**(error)** 
import org.deeplearning4j.nn.conf.NeuralNetConfiguration; 
import org.deeplearning4j.scaleout.conf.Conf;**(error)** 

这是说这些软件包不在目标包中。我无法在包中找到这些模块，并且无法在Maven Center Repository中找到它，而在源代码中找不到该类。

现在我想知道如何获得这些模块，以及在创建可以在Spark上运行的AutoEncoder之前应该如何操作。

的示例代码如下所示：

import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; 
import org.deeplearning4j.datasets.test.TestDataSetIterator; 
import org.deeplearning4j.iterativereduce.actor.multilayer.ActorNetworkRunner; 
import org.deeplearning4j.models.classifiers.dbn.DBN; 
import org.deeplearning4j.nn.conf.NeuralNetConfiguration; 
import org.deeplearning4j.scaleout.conf.Conf; 

public class MnistMultiThreadedExample { 
    public static void main(String[] args) throws Exception { 
     //5 batches of 100: 20 each 
     MnistDataSetIterator mnist = new MnistDataSetIterator(20, 60000); 
     TestDataSetIterator iter = new TestDataSetIterator(mnist); 
     ActorNetworkRunner runner = new ActorNetworkRunner(iter); 


     NeuralNetConfiguration conf2 = new NeuralNetConfiguration.Builder() 
      .nIn(784).nOut(10).build(); 

     Conf conf = new Conf(); 
     conf.setConf(conf2); 
     conf.getConf().setFinetuneEpochs(1000); 
     conf.setLayerSizes(new int[]{500,250,100}); 
     conf.setMultiLayerClazz(DBN.class); 
     conf.getConf().setnOut(10); 
     conf.getConf().setFinetuneLearningRate(0.0001f); 
     conf.getConf().setnIn(784); 
     conf.getConf().setL2(0.001f); 
     conf.getConf().setMomentum(0.5f); 
     conf.setSplit(10); 
     conf.getConf().setUseRegularization(false); 
     conf.setDeepLearningParams(new Object[]{1,0.0001,1000}); 
     runner.setup(conf); 

     runner.train(); 

    } 

} 

Answer 1

您应该添加以下依赖你的POM：

<dependency> 
    <groupId>org.deeplearning4j</groupId> 
    <artifactId>deeplearning4j-scaleout-akka</artifactId> 
    <version>0.0.3.3</version> 
</dependency> 

这将增加作为传递依赖deeplearning4j-scaleout-api和deeplearning4j-core。这三个依赖关系将为您提供您缺少的输入。