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Java example source code file (MnistDataSetIterator.java)
The MnistDataSetIterator.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.datasets.iterator.impl; import java.io.IOException; import org.deeplearning4j.datasets.fetchers.MnistDataFetcher; import org.deeplearning4j.datasets.iterator.BaseDatasetIterator; /** * Mnist data applyTransformToDestination iterator. * @author Adam Gibson */ public class MnistDataSetIterator extends BaseDatasetIterator { public MnistDataSetIterator(int batch,int numExamples) throws IOException { this(batch,numExamples,false); } /**Get the specified number of examples for the MNIST training data set. * @param batch the batch size of the examples * @param numExamples the overall number of examples * @param binarize whether to binarize mnist or not * @throws IOException */ public MnistDataSetIterator(int batch, int numExamples, boolean binarize) throws IOException { this(batch,numExamples,binarize,true,false,0); } /** Constructor to get the full MNIST data set (either test or train sets) without binarization (i.e., just normalization * into range of 0 to 1), with shuffling based on a random seed. * @param batchSize * @param train * @throws IOException */ public MnistDataSetIterator(int batchSize, boolean train, int seed) throws IOException{ this(batchSize, (train ? MnistDataFetcher.NUM_EXAMPLES : MnistDataFetcher.NUM_EXAMPLES_TEST), false, train, true, seed); } /**Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization. * @param batch Size of each patch * @param numExamples total number of examples to load * @param binarize whether to binarize the data or not (if false: normalize in range 0 to 1) * @param train Train vs. test set * @param shuffle whether to shuffle the examples * @param rngSeed random number generator seed to use when shuffling examples */ public MnistDataSetIterator(int batch, int numExamples, boolean binarize, boolean train, boolean shuffle, long rngSeed) throws IOException { super(batch, numExamples,new MnistDataFetcher(binarize,train,shuffle,rngSeed)); } } Other Java examples (source code examples)Here is a short list of links related to this Java MnistDataSetIterator.java source code file: |
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