org.deeplearning4j.base

Class DeepLearningTest

java.lang.Object

org.deeplearning4j.base.DeepLearningTest

Direct Known Subclasses:

DataSetTester

public abstract class DeepLearningTest
extends Object

Constructor Summary

Constructors

Constructor and Description
DeepLearningTest()

Method Summary

Methods

Modifier and Type	Method and Description
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>>	getFaces() LFW Dataset: pick all faces
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	getFaces(int num) LFW Dataset: pick first num faces
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	getFacesMatrix() LFW Dataset: pick all faces
static List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>>	getFirstFaces(int num) LFW Dataset: pick first num faces
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	getIris()
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	getIris(int num)
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	getMnistExample(int example) Gets an mnist example as an input, label pair.
static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>	getMnistExampleBatch(int batchSize) Gets an mnist example as an input, label pair.
List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>>	getMnistExampleBatches(int batchSize, int numBatches) Gets an mnist example as an input, label pair.

Methods inherited from class java.lang.Object

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

Constructor Detail

DeepLearningTest

public DeepLearningTest()

Method Detail

getIris

public static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> getIris()
                                                                   throws IOException

Throws:

IOException

getIris

public static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> getIris(int num)
                                                                   throws IOException

Throws:

IOException

getFaces

public static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> getFaces(int num)
                                                                    throws Exception

LFW Dataset: pick first num faces

Parameters:

num -

Returns:

Throws:

Exception

getFacesMatrix

public static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> getFacesMatrix()
                                                                          throws Exception

LFW Dataset: pick all faces

Parameters:

num -

Returns:

Throws:

Exception

getFirstFaces

public static List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> getFirstFaces(int num)
                                                                               throws Exception

LFW Dataset: pick first num faces

Parameters:

num -

Returns:

Throws:

Exception

getFaces

public List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> getFaces()
                                                                   throws Exception

LFW Dataset: pick all faces

Parameters:

num -

Returns:

Throws:

Exception

getMnistExample

public static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> getMnistExample(int example)
                                                                           throws IOException

Gets an mnist example as an input, label pair. Keep in mind the return matrix for out come is a 1x1 matrix. If you need multiple labels, remember to convert to a zeros with 1 as index of the label for the output training vector.

Parameters:

example - the example to get

Returns:

the image,label pair

Throws:

IOException

getMnistExampleBatches

public List<Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix>> getMnistExampleBatches(int batchSize,
                                                                               int numBatches)
                                                                                 throws IOException

Gets an mnist example as an input, label pair. Keep in mind the return matrix for out come is a 1x1 matrix. If you need multiple labels, remember to convert to a zeros with 1 as index of the label for the output training vector.

Parameters:

example - the example to get

batchSize - the batch size of examples to get

Returns:

the image,label pair

Throws:

IOException

getMnistExampleBatch

public static Pair<org.jblas.DoubleMatrix,org.jblas.DoubleMatrix> getMnistExampleBatch(int batchSize)
                                                                                throws IOException

Gets an mnist example as an input, label pair. Keep in mind the return matrix for out come is a 1x1 matrix. If you need multiple labels, remember to convert to a zeros with 1 as index of the label for the output training vector.

Parameters:

example - the example to get

batchSize - the batch size of examples to get

Returns:

the image,label pair

Throws:

IOException