org.deeplearning4j.datasets.fetchers

Class MnistDataFetcher

java.lang.Object

org.deeplearning4j.datasets.fetchers.BaseDataFetcher

org.deeplearning4j.datasets.fetchers.MnistDataFetcher

All Implemented Interfaces:

Serializable, DataSetFetcher

public class MnistDataFetcher
extends BaseDataFetcher

Data fetcher for the MNIST dataset

Author:

Adam Gibson

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
static int	NUM_EXAMPLES

Fields inherited from class org.deeplearning4j.datasets.fetchers.BaseDataFetcher

curr, cursor, inputColumns, log, numOutcomes, totalExamples

Constructor Summary

Constructors

Constructor and Description
MnistDataFetcher()
MnistDataFetcher(boolean binarize) Constructor telling whether to binarize the dataset or not

Method Summary

Modifier and Type	Method and Description
void	fetch(int numExamples) Fetches the next dataset.
org.nd4j.linalg.dataset.DataSet	next() Returns the next data applyTransformToDestination
void	reset() Returns the fetcher back to the beginning of the dataset

Methods inherited from class org.deeplearning4j.datasets.fetchers.BaseDataFetcher

createInputMatrix, createOutputMatrix, createOutputVector, cursor, hasMore, initializeCurrFromList, inputColumns, totalExamples, totalOutcomes

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

NUM_EXAMPLES

public static final int NUM_EXAMPLES

See Also:

Constant Field Values

Constructor Detail

MnistDataFetcher

public MnistDataFetcher(boolean binarize)
                 throws IOException

Constructor telling whether to binarize the dataset or not

Parameters:

binarize - whether to binarize the dataset or not

Throws:

IOException

MnistDataFetcher

public MnistDataFetcher()
                 throws IOException

Throws:

IOException

Method Detail

fetch

public void fetch(int numExamples)

Description copied from interface: DataSetFetcher

Fetches the next dataset. You need to call this to getFromOrigin a new dataset, otherwise DataSetFetcher.next() just returns the last data applyTransformToDestination fetch

Parameters:

numExamples - the number of examples to fetch

reset

public void reset()

Description copied from interface: DataSetFetcher

Returns the fetcher back to the beginning of the dataset

Specified by:

reset in interface DataSetFetcher

Overrides:

reset in class BaseDataFetcher

next

public org.nd4j.linalg.dataset.DataSet next()

Description copied from interface: DataSetFetcher

Returns the next data applyTransformToDestination

Specified by:

next in interface DataSetFetcher

Overrides:

next in class BaseDataFetcher

Returns:

the next dataset