|
Java example source code file (NeuralNetWorkPerformer.java)
The NeuralNetWorkPerformer.java Java example source code/* * * * Copyright 2015 Skymind,Inc. * * * * Licensed under the Apache License, Version 2.0 (the "License"); * * you may not use this file except in compliance with the License. * * You may obtain a copy of the License at * * * * http://www.apache.org/licenses/LICENSE-2.0 * * * * Unless required by applicable law or agreed to in writing, software * * distributed under the License is distributed on an "AS IS" BASIS, * * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * * See the License for the specific language governing permissions and * * limitations under the License. * */ package org.deeplearning4j.scaleout.perform; import org.canova.api.conf.Configuration; import org.deeplearning4j.nn.api.Layer; import org.deeplearning4j.nn.api.LayerFactory; import org.deeplearning4j.nn.conf.NeuralNetConfiguration; import org.deeplearning4j.nn.layers.factory.LayerFactories; import org.deeplearning4j.scaleout.job.Job; import org.nd4j.linalg.api.ndarray.INDArray; import org.nd4j.linalg.dataset.DataSet; import org.nd4j.linalg.factory.Nd4j; import java.io.Serializable; /** * Neural network work performer * @author Adam Gibson */ public class NeuralNetWorkPerformer implements WorkerPerformer { protected Layer neuralNetwork; public NeuralNetWorkPerformer() { } @Override public void perform(Job job) { Serializable work = job.getWork(); if(work instanceof DataSet) { DataSet data = (DataSet) work; neuralNetwork.fit(data.getFeatureMatrix()); } else if(work instanceof INDArray) { neuralNetwork.fit((INDArray) work); } job.setResult(neuralNetwork.params()); } @Override public void update(Object... o) { INDArray arr = (INDArray) o[0]; neuralNetwork.setParams(arr); } @Override public void setup(Configuration conf) { NeuralNetConfiguration conf2 = NeuralNetConfiguration.fromJson(conf.get(NEURAL_NET_CONF)); LayerFactory layerFactory = LayerFactories.getFactory(conf2.getLayer()); int numParams = layerFactory.initializer().numParams(conf2,true); INDArray params = Nd4j.create(1, numParams); this.neuralNetwork = LayerFactories.getFactory(conf2.getLayer()).create(conf2, null, 0, params, true); } } Other Java examples (source code examples)Here is a short list of links related to this Java NeuralNetWorkPerformer.java source code file: |
... this post is sponsored by my books ... | |
#1 New Release! |
FP Best Seller |
Copyright 1998-2021 Alvin Alexander, alvinalexander.com
All Rights Reserved.
A percentage of advertising revenue from
pages under the /java/jwarehouse
URI on this website is
paid back to open source projects.